Endocrinology

The annual production of plastic worldwide has increased exponentially from about 2 million tons in 1950 to 460 million tons in 2019, and current levels are expected to triple by 2060.

Plastic contains more than 10,000 chemicals, including carcinogenic substances and endocrine disruptors. Plastic and associated chemicals are responsible for widespread pollution, contaminating aquatic (marine and freshwater), terrestrial, and atmospheric environments globally.

Atmospheric concentrations of plastic particles are on the rise, to the extent that in a remote station in the Eastern Alps in Austria, the contribution of micro- and nanoplastics (MNPs) to organic matter was comparable to data collected at an urban site.

The ocean is the ultimate destination for much of the plastic. All oceans, on the surface and in the depths, contain plastic, which is even found in polar sea ice. Many plastics seem to resist decomposition in the ocean and could persist in the environment for decades. Macro- and microplastic (MP) particles have been identified in hundreds of marine species, including species consumed by humans.

The quantity and fate of MP particles (> 10 µm) and smaller nanoplastics (< 10 µm) in aquatic environments are poorly understood, but what is most concerning is their ability to cross biologic barriers and the potential harm associated with their mobility in biologic systems.
 

MNP Exposure

MNPs can originate from a wide variety of sources, including food, beverages, and food product packaging. Water bottles represent a significant source of ingestible MNPs for people in their daily lives. Recent estimates, using stimulated Raman scattering imaging, documented a concentration of MNP of approximately 2.4 ± 1.3 × 10⁵ particles per liter of bottled water. Around 90% are nanoplastics, which is two to three orders of magnitude higher than previously reported results for larger MPs.

MNPs enter the body primarily through ingestion or inhalation. For example, MNPs can be ingested by drinking liquids or eating food that has been stored or heated in plastic containers from which they have leaked or by using toothpaste that contains them. Infants are exposed to MPs from artificial milk preparation in polypropylene baby bottles, with higher levels than previously detected and ranging from 14,600 to 4,550,000 particles per capita per day.
 

MNP and Biologic Systems

The possible formation of hetero-aggregates between nanoplastics and natural organic matter has long been recognized as a potential challenge in the analysis of nanoplastics and can influence toxicologic results in biologic exposure. The direct visualization of such hetero-aggregates in real-world samples supports these concerns, but the analysis of MNPs with traditional techniques remains challenging. Unlike engineered nanoparticles (prepared in the laboratory as model systems), the nanoplastics in the environment are label-free and exhibit significant heterogeneity in chemical composition and morphology.

A systematic analysis of evidence on the toxic effects of MNPs on murine models, however, showed that 52.78% of biologic endpoints (related to glucose metabolism, reproduction, oxidative stress, and lipid metabolism) were significantly affected by MNP exposure.
 

Between Risk and Toxicity

MNP can enter the body in vivo through the digestive tract, respiratory tract, and skin contact. On average, humans could ingest from 0.1 to 5 g of MNP per week through various exposure routes.

MNPs are a potential risk factor for cardiovascular diseases, as suggested by a recent study on 257 patients with carotid atheromatous plaques. In 58.4% of cases, polyvinyl chloride was detected in the carotid artery plaque, with an average level of 5.2 ± 2.4 μg/mg of plaque. Patients with MNPs inside the atheroma had a higher risk (relative risk, 4.53) for a composite cardiovascular event of myocardial infarction, stroke, or death from any cause at 34 months of follow-up than participants where MNPs were not detectable inside the atheromatous plaque.

The potential link between inflammatory bowel disease (IBD) and MPs has been hypothesized by a study that reported a higher fecal MP concentration in patients with IBD than in healthy individuals. Fecal MP level was correlated with disease severity.

However, these studies have not demonstrated a causal relationship between MNPs and disease, and the way MNPs may influence cellular functions and induce stress responses is not yet well understood.
 

Future Scenarios

Current evidence confirms the fragmentation of plastic beyond the micrometer level and has unequivocally detected nanoplastics in real samples. As with many other particle distributions of the same size in the natural world, there are substantially more nanoplastics, despite their invisibility with conventional imaging techniques, than particles larger than the micron size.

The initial results of studies on MNPs in humans will stimulate future research on the amounts of MNPs that accumulate in tissue over a person’s lifetime. Researchers also will examine how the particles’ characteristics, including their chemical composition, size, and shape, can influence organs and tissues.

The way MNPs can cause harm, including through effects on the immune system and microbiome, will need to be clarified by investigating possible direct cytotoxic effects, consistent with the introductory statement of the Organization for Economic Cooperation and Development global policy forum on plastics, which states, “Plastic pollution is one of the great environmental challenges of the 21st century, causing wide-ranging damage to ecosystems and human health.”

This story was translated from Univadis Italy, which is part of the Medscape professional network, using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

The annual production of plastic worldwide has increased exponentially from about 2 million tons in 1950 to 460 million tons in 2019, and current levels are expected to triple by 2060.

Plastic contains more than 10,000 chemicals, including carcinogenic substances and endocrine disruptors. Plastic and associated chemicals are responsible for widespread pollution, contaminating aquatic (marine and freshwater), terrestrial, and atmospheric environments globally.

Atmospheric concentrations of plastic particles are on the rise, to the extent that in a remote station in the Eastern Alps in Austria, the contribution of micro- and nanoplastics (MNPs) to organic matter was comparable to data collected at an urban site.

The ocean is the ultimate destination for much of the plastic. All oceans, on the surface and in the depths, contain plastic, which is even found in polar sea ice. Many plastics seem to resist decomposition in the ocean and could persist in the environment for decades. Macro- and microplastic (MP) particles have been identified in hundreds of marine species, including species consumed by humans.

The quantity and fate of MP particles (> 10 µm) and smaller nanoplastics (< 10 µm) in aquatic environments are poorly understood, but what is most concerning is their ability to cross biologic barriers and the potential harm associated with their mobility in biologic systems.
 

MNP Exposure

MNPs can originate from a wide variety of sources, including food, beverages, and food product packaging. Water bottles represent a significant source of ingestible MNPs for people in their daily lives. Recent estimates, using stimulated Raman scattering imaging, documented a concentration of MNP of approximately 2.4 ± 1.3 × 10⁵ particles per liter of bottled water. Around 90% are nanoplastics, which is two to three orders of magnitude higher than previously reported results for larger MPs.

MNPs enter the body primarily through ingestion or inhalation. For example, MNPs can be ingested by drinking liquids or eating food that has been stored or heated in plastic containers from which they have leaked or by using toothpaste that contains them. Infants are exposed to MPs from artificial milk preparation in polypropylene baby bottles, with higher levels than previously detected and ranging from 14,600 to 4,550,000 particles per capita per day.
 

MNP and Biologic Systems

The possible formation of hetero-aggregates between nanoplastics and natural organic matter has long been recognized as a potential challenge in the analysis of nanoplastics and can influence toxicologic results in biologic exposure. The direct visualization of such hetero-aggregates in real-world samples supports these concerns, but the analysis of MNPs with traditional techniques remains challenging. Unlike engineered nanoparticles (prepared in the laboratory as model systems), the nanoplastics in the environment are label-free and exhibit significant heterogeneity in chemical composition and morphology.

A systematic analysis of evidence on the toxic effects of MNPs on murine models, however, showed that 52.78% of biologic endpoints (related to glucose metabolism, reproduction, oxidative stress, and lipid metabolism) were significantly affected by MNP exposure.
 

Between Risk and Toxicity

MNP can enter the body in vivo through the digestive tract, respiratory tract, and skin contact. On average, humans could ingest from 0.1 to 5 g of MNP per week through various exposure routes.

MNPs are a potential risk factor for cardiovascular diseases, as suggested by a recent study on 257 patients with carotid atheromatous plaques. In 58.4% of cases, polyvinyl chloride was detected in the carotid artery plaque, with an average level of 5.2 ± 2.4 μg/mg of plaque. Patients with MNPs inside the atheroma had a higher risk (relative risk, 4.53) for a composite cardiovascular event of myocardial infarction, stroke, or death from any cause at 34 months of follow-up than participants where MNPs were not detectable inside the atheromatous plaque.

The potential link between inflammatory bowel disease (IBD) and MPs has been hypothesized by a study that reported a higher fecal MP concentration in patients with IBD than in healthy individuals. Fecal MP level was correlated with disease severity.

However, these studies have not demonstrated a causal relationship between MNPs and disease, and the way MNPs may influence cellular functions and induce stress responses is not yet well understood.
 

Future Scenarios

Current evidence confirms the fragmentation of plastic beyond the micrometer level and has unequivocally detected nanoplastics in real samples. As with many other particle distributions of the same size in the natural world, there are substantially more nanoplastics, despite their invisibility with conventional imaging techniques, than particles larger than the micron size.

The initial results of studies on MNPs in humans will stimulate future research on the amounts of MNPs that accumulate in tissue over a person’s lifetime. Researchers also will examine how the particles’ characteristics, including their chemical composition, size, and shape, can influence organs and tissues.

The way MNPs can cause harm, including through effects on the immune system and microbiome, will need to be clarified by investigating possible direct cytotoxic effects, consistent with the introductory statement of the Organization for Economic Cooperation and Development global policy forum on plastics, which states, “Plastic pollution is one of the great environmental challenges of the 21st century, causing wide-ranging damage to ecosystems and human health.”

This story was translated from Univadis Italy, which is part of the Medscape professional network, using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

The annual production of plastic worldwide has increased exponentially from about 2 million tons in 1950 to 460 million tons in 2019, and current levels are expected to triple by 2060.

Plastic contains more than 10,000 chemicals, including carcinogenic substances and endocrine disruptors. Plastic and associated chemicals are responsible for widespread pollution, contaminating aquatic (marine and freshwater), terrestrial, and atmospheric environments globally.

Atmospheric concentrations of plastic particles are on the rise, to the extent that in a remote station in the Eastern Alps in Austria, the contribution of micro- and nanoplastics (MNPs) to organic matter was comparable to data collected at an urban site.

The ocean is the ultimate destination for much of the plastic. All oceans, on the surface and in the depths, contain plastic, which is even found in polar sea ice. Many plastics seem to resist decomposition in the ocean and could persist in the environment for decades. Macro- and microplastic (MP) particles have been identified in hundreds of marine species, including species consumed by humans.

The quantity and fate of MP particles (> 10 µm) and smaller nanoplastics (< 10 µm) in aquatic environments are poorly understood, but what is most concerning is their ability to cross biologic barriers and the potential harm associated with their mobility in biologic systems.
 

MNP Exposure

MNPs can originate from a wide variety of sources, including food, beverages, and food product packaging. Water bottles represent a significant source of ingestible MNPs for people in their daily lives. Recent estimates, using stimulated Raman scattering imaging, documented a concentration of MNP of approximately 2.4 ± 1.3 × 10⁵ particles per liter of bottled water. Around 90% are nanoplastics, which is two to three orders of magnitude higher than previously reported results for larger MPs.

MNPs enter the body primarily through ingestion or inhalation. For example, MNPs can be ingested by drinking liquids or eating food that has been stored or heated in plastic containers from which they have leaked or by using toothpaste that contains them. Infants are exposed to MPs from artificial milk preparation in polypropylene baby bottles, with higher levels than previously detected and ranging from 14,600 to 4,550,000 particles per capita per day.
 

MNP and Biologic Systems

The possible formation of hetero-aggregates between nanoplastics and natural organic matter has long been recognized as a potential challenge in the analysis of nanoplastics and can influence toxicologic results in biologic exposure. The direct visualization of such hetero-aggregates in real-world samples supports these concerns, but the analysis of MNPs with traditional techniques remains challenging. Unlike engineered nanoparticles (prepared in the laboratory as model systems), the nanoplastics in the environment are label-free and exhibit significant heterogeneity in chemical composition and morphology.

A systematic analysis of evidence on the toxic effects of MNPs on murine models, however, showed that 52.78% of biologic endpoints (related to glucose metabolism, reproduction, oxidative stress, and lipid metabolism) were significantly affected by MNP exposure.
 

Between Risk and Toxicity

MNP can enter the body in vivo through the digestive tract, respiratory tract, and skin contact. On average, humans could ingest from 0.1 to 5 g of MNP per week through various exposure routes.

MNPs are a potential risk factor for cardiovascular diseases, as suggested by a recent study on 257 patients with carotid atheromatous plaques. In 58.4% of cases, polyvinyl chloride was detected in the carotid artery plaque, with an average level of 5.2 ± 2.4 μg/mg of plaque. Patients with MNPs inside the atheroma had a higher risk (relative risk, 4.53) for a composite cardiovascular event of myocardial infarction, stroke, or death from any cause at 34 months of follow-up than participants where MNPs were not detectable inside the atheromatous plaque.

The potential link between inflammatory bowel disease (IBD) and MPs has been hypothesized by a study that reported a higher fecal MP concentration in patients with IBD than in healthy individuals. Fecal MP level was correlated with disease severity.

However, these studies have not demonstrated a causal relationship between MNPs and disease, and the way MNPs may influence cellular functions and induce stress responses is not yet well understood.
 

Future Scenarios

Current evidence confirms the fragmentation of plastic beyond the micrometer level and has unequivocally detected nanoplastics in real samples. As with many other particle distributions of the same size in the natural world, there are substantially more nanoplastics, despite their invisibility with conventional imaging techniques, than particles larger than the micron size.

The initial results of studies on MNPs in humans will stimulate future research on the amounts of MNPs that accumulate in tissue over a person’s lifetime. Researchers also will examine how the particles’ characteristics, including their chemical composition, size, and shape, can influence organs and tissues.

The way MNPs can cause harm, including through effects on the immune system and microbiome, will need to be clarified by investigating possible direct cytotoxic effects, consistent with the introductory statement of the Organization for Economic Cooperation and Development global policy forum on plastics, which states, “Plastic pollution is one of the great environmental challenges of the 21st century, causing wide-ranging damage to ecosystems and human health.”

This story was translated from Univadis Italy, which is part of the Medscape professional network, using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

TOPLINE: 

Individuals with overweight and obesity who reach a weight-loss plateau at around 6 months on a healthy weight-loss diet may not achieve further weight reduction after switching to a different weight-loss diet.

METHODOLOGY:

• Dietary and lifestyle interventions initially result in rapid weight loss, followed by a weight-loss plateau after a few months and weight regain within a year or two, and diet fatigue has been proposed as a cause but not studied.
• This secondary analysis of a randomized trial assessed weight-loss trajectories before and after switching from a healthy low-carbohydrate (LC) diet to a healthy low-fat (LF) diet (or vice versa) in individuals with overweight and obesity.
• Overall, 42 participants (mean age, 42 years; 64% women; 87% White individuals) recruited from a local community in Palo Alto, California, were assigned to the LF or LC diet for the first 6 months, after which they were switched to the other diet for the remaining 6 months.
• Data from the DIETFITS trial, wherein participants remained either on the LF or LC diet for 12 months, were used as historical control.

The primary outcome was percent weight change at 3-6 months vs that observed at 6-9 months.

TAKEAWAY:

• The combined average weight loss was 7% (95% CI, 8%-6%) during the first 3 months, declining to 2% (95% CI, 3%-1%) between 3 and 6 months. On switching diets, the weight loss further slowed to 1% (95% CI, 2%-0.4%) between 6 and 9 months, with a modest increase in weight of 0.6% (95% CI, −0.1% to 1.3%) between 9 and 12 months.
• By diet order, participants in the LF first arm did not plateau and experienced a similar weight loss from 6 to 9 months as they had experienced from 3 to 6 months (relative change, −0.1%; 95% CI, −1.5% to 1.3%), while the LC first arm essentially nullified the 3-6 month weight loss during the 6-9 month LF phase (relative change, 2.2%; 95% CI, 0.7%-3.6%).
• For the LC first arm, low-density lipoprotein increased at 3 months and decreased when the participants switched to LF at 6 months, whereas the opposite effect was seen for the transition from LF to LC. Triglyceride levels decreased in both intervention arms.
• Insulin levels decreased in both dietary intervention arms between baseline and 6 months and plateaued following the 6-month dietary switch.

IN PRACTICE:

“This suggests that the weight-loss plateau typically seen at 6 months is physiological and cannot be overcome by simply switching to a different weight-loss diet,” wrote the authors. “As a person transitions from a weight loss to weight maintenance phase, a shift in the approach used may be required.”

SOURCE:

The study, led by Matthew J. Landry, Stanford Prevention Research Center, School of Medicine, Stanford University, California, was published in Scientific Reports.

LIMITATIONS:

The study results showed some possible differential trends but also highlighted the small sample size and large variability. Participants may have been unable to provide accurate estimates of self-reported energy intake. The authors also acknowledged that regular physical activity may have contributed to the maintenance of weight loss observed in this study.

DISCLOSURES:

The study was supported by the Hass Avocado Board; Human Health Service grant (General Clinical Research Centers and National Center for Research Resources, National Institutes of Health); National Heart, Lung, and Blood Institute; and Stanford Diabetes Research Center. The authors declared no conflicts of interest.

A version of this article first appeared on Medscape.com.

TOPLINE: 

Individuals with overweight and obesity who reach a weight-loss plateau at around 6 months on a healthy weight-loss diet may not achieve further weight reduction after switching to a different weight-loss diet.

METHODOLOGY:

• Dietary and lifestyle interventions initially result in rapid weight loss, followed by a weight-loss plateau after a few months and weight regain within a year or two, and diet fatigue has been proposed as a cause but not studied.
• This secondary analysis of a randomized trial assessed weight-loss trajectories before and after switching from a healthy low-carbohydrate (LC) diet to a healthy low-fat (LF) diet (or vice versa) in individuals with overweight and obesity.
• Overall, 42 participants (mean age, 42 years; 64% women; 87% White individuals) recruited from a local community in Palo Alto, California, were assigned to the LF or LC diet for the first 6 months, after which they were switched to the other diet for the remaining 6 months.
• Data from the DIETFITS trial, wherein participants remained either on the LF or LC diet for 12 months, were used as historical control.

The primary outcome was percent weight change at 3-6 months vs that observed at 6-9 months.

TAKEAWAY:

• The combined average weight loss was 7% (95% CI, 8%-6%) during the first 3 months, declining to 2% (95% CI, 3%-1%) between 3 and 6 months. On switching diets, the weight loss further slowed to 1% (95% CI, 2%-0.4%) between 6 and 9 months, with a modest increase in weight of 0.6% (95% CI, −0.1% to 1.3%) between 9 and 12 months.
• By diet order, participants in the LF first arm did not plateau and experienced a similar weight loss from 6 to 9 months as they had experienced from 3 to 6 months (relative change, −0.1%; 95% CI, −1.5% to 1.3%), while the LC first arm essentially nullified the 3-6 month weight loss during the 6-9 month LF phase (relative change, 2.2%; 95% CI, 0.7%-3.6%).
• For the LC first arm, low-density lipoprotein increased at 3 months and decreased when the participants switched to LF at 6 months, whereas the opposite effect was seen for the transition from LF to LC. Triglyceride levels decreased in both intervention arms.
• Insulin levels decreased in both dietary intervention arms between baseline and 6 months and plateaued following the 6-month dietary switch.

IN PRACTICE:

“This suggests that the weight-loss plateau typically seen at 6 months is physiological and cannot be overcome by simply switching to a different weight-loss diet,” wrote the authors. “As a person transitions from a weight loss to weight maintenance phase, a shift in the approach used may be required.”

SOURCE:

The study, led by Matthew J. Landry, Stanford Prevention Research Center, School of Medicine, Stanford University, California, was published in Scientific Reports.

LIMITATIONS:

The study results showed some possible differential trends but also highlighted the small sample size and large variability. Participants may have been unable to provide accurate estimates of self-reported energy intake. The authors also acknowledged that regular physical activity may have contributed to the maintenance of weight loss observed in this study.

DISCLOSURES:

The study was supported by the Hass Avocado Board; Human Health Service grant (General Clinical Research Centers and National Center for Research Resources, National Institutes of Health); National Heart, Lung, and Blood Institute; and Stanford Diabetes Research Center. The authors declared no conflicts of interest.

A version of this article first appeared on Medscape.com.

TOPLINE: 

Individuals with overweight and obesity who reach a weight-loss plateau at around 6 months on a healthy weight-loss diet may not achieve further weight reduction after switching to a different weight-loss diet.

METHODOLOGY:

• Dietary and lifestyle interventions initially result in rapid weight loss, followed by a weight-loss plateau after a few months and weight regain within a year or two, and diet fatigue has been proposed as a cause but not studied.
• This secondary analysis of a randomized trial assessed weight-loss trajectories before and after switching from a healthy low-carbohydrate (LC) diet to a healthy low-fat (LF) diet (or vice versa) in individuals with overweight and obesity.
• Overall, 42 participants (mean age, 42 years; 64% women; 87% White individuals) recruited from a local community in Palo Alto, California, were assigned to the LF or LC diet for the first 6 months, after which they were switched to the other diet for the remaining 6 months.
• Data from the DIETFITS trial, wherein participants remained either on the LF or LC diet for 12 months, were used as historical control.

The primary outcome was percent weight change at 3-6 months vs that observed at 6-9 months.

TAKEAWAY:

• The combined average weight loss was 7% (95% CI, 8%-6%) during the first 3 months, declining to 2% (95% CI, 3%-1%) between 3 and 6 months. On switching diets, the weight loss further slowed to 1% (95% CI, 2%-0.4%) between 6 and 9 months, with a modest increase in weight of 0.6% (95% CI, −0.1% to 1.3%) between 9 and 12 months.
• By diet order, participants in the LF first arm did not plateau and experienced a similar weight loss from 6 to 9 months as they had experienced from 3 to 6 months (relative change, −0.1%; 95% CI, −1.5% to 1.3%), while the LC first arm essentially nullified the 3-6 month weight loss during the 6-9 month LF phase (relative change, 2.2%; 95% CI, 0.7%-3.6%).
• For the LC first arm, low-density lipoprotein increased at 3 months and decreased when the participants switched to LF at 6 months, whereas the opposite effect was seen for the transition from LF to LC. Triglyceride levels decreased in both intervention arms.
• Insulin levels decreased in both dietary intervention arms between baseline and 6 months and plateaued following the 6-month dietary switch.

IN PRACTICE:

“This suggests that the weight-loss plateau typically seen at 6 months is physiological and cannot be overcome by simply switching to a different weight-loss diet,” wrote the authors. “As a person transitions from a weight loss to weight maintenance phase, a shift in the approach used may be required.”

SOURCE:

The study, led by Matthew J. Landry, Stanford Prevention Research Center, School of Medicine, Stanford University, California, was published in Scientific Reports.

LIMITATIONS:

The study results showed some possible differential trends but also highlighted the small sample size and large variability. Participants may have been unable to provide accurate estimates of self-reported energy intake. The authors also acknowledged that regular physical activity may have contributed to the maintenance of weight loss observed in this study.

DISCLOSURES:

The study was supported by the Hass Avocado Board; Human Health Service grant (General Clinical Research Centers and National Center for Research Resources, National Institutes of Health); National Heart, Lung, and Blood Institute; and Stanford Diabetes Research Center. The authors declared no conflicts of interest.

A version of this article first appeared on Medscape.com.

Endocrinologists in Europe and the United States have come together to produce joint guidance to help clinicians manage patients who have, or are a at risk for, glucocorticoid-induced adrenal insufficiency (GC-AI).

Publication of the guidance marks the first time that the European Society of Endocrinology (ESE) and the Endocrine Society have cooperated in producing a guideline.

The guideline “Diagnosis and therapy of glucocorticoid-induced adrenal insufficiency” is published in the May 2024 issues of the societies respective journals, the European Journal of Endocrinology and The Journal of Clinical Endocrinology & Metabolism.

Felix Beuschlein, PhD, from the ESE, who cochaired the clinical committee, told this news organization: “You would hope that this leads to a common ground for a very large number of patients.”

The risk for GC-AI is dependent on the dose, duration, and potency of the glucocorticoid; route of administration; as well as susceptibility of the individual patient. Once it develops or is suspected, careful education and management of affected patients is required.
 

Glucocorticoids Commonly Prescribed

“Glucocorticoid-induced adrenal insufficiency is actually a potential concern for a lot of patients,” coauthor Tobias Else, MD, of the department of internal medicine at the University of Michigan, Ann Arbor, explained to this news organization. “Roughly 1% of all people are being treated with glucocorticoids at any given time.”

“That’s a tremendous number, and it gives the scale of the situation,” added Dr. Beuschlein, director of the department of endocrinology, diabetology, and clinical nutrition at University Hospital Zürich in Switzerland. “Now, fortunately, only a very small proportion of patients who are treated with glucocorticoids do have endocrine problems, and this is what this guideline is actually concentrating on.”

Glucocorticoids are effective agents for treating autoimmune and inflammatory disorders. However, they can cause adverse reactions, particularly when administered at high doses and/or for a prolonged period.

Some studies have reported that even low-dose glucocorticoid use, such as prednisone at 2.5-7.5 mg/d, can increase the risk for cardiovascular disease, severe infections, hypertension, diabetes, osteoporosis, and fractures, as well as increase overall mortality with concurrent type 2 diabetes.

Tapering glucocorticoids can be challenging when symptoms of glucocorticoid withdrawal develop, which overlap with those of adrenal insufficiency, the guidelines stated. In general, tapering of glucocorticoids can occur more rapidly within a supraphysiological range, followed by a slower taper when on physiological glucocorticoid dosing.

The degree and persistence of hypothalamic-pituitary-adrenal (HPA) axis suppression after glucocorticoid therapy is stopped depends on overall exposure and recovery of adrenal function. “This is a quite individual situation, as you can imagine, because it’s about sex, age, and comorbidities, the kind of glucocorticoid or other medications that you’re giving,” said Dr. Beuschlein. To cover contingencies, the paper presents tables to explain management covering various eventualities.

Leonie van Hulsteijn, MD, from the department of clinical epidemiology, Leiden University Medical Center, Leiden, the Netherlands, said: “There are so many other specialties prescribing glucocorticoids; so especially the rheumatologist, the pulmonologist, the general practitioners.”

Asked by this news organization whether the guidelines might dissuade some clinicians from offering glucocorticoids, Dr. van Hulsteijn, who contributed to the guidance, said, “I don’t think it will keep them from prescribing it, but I really hope it will make them aware if somebody, after using long-term glucocorticoids, presents with complaints of adrenal insufficiency, that they will be aware and take immediate action.”
 

Evidence Gaps

The review team took around 2.5 years to draw up the guidance amid some concerns about the quality of the evidence base, which they mainly rated as “low” or “very low.” “I think we all, going through the literature, were quite astonished at how bad the evidence is for a problem as global as that,” said Dr. Beuschlein. “But that’s how it is — sometimes, even in the absence of strong evidence, you have to give some kind of guidance.”

Nevertheless, the authors have called for more research to establish risk factors contributing to the development of and susceptibility to adrenal insufficiency, a greater understanding of glucocorticoid withdrawal, and identification of glucocorticoids retaining immunosuppressive and anti-inflammatory properties that have less effect on HPA axis suppression and an improved adverse effect profile.

Patient-facing materials on GC-AI are also in development and will be made available via the ESE Patient Zone this month.

Next year, the societies plan to publish a joint guideline on diabetes in pregnancy. That will be followed in 2026 by guidance on arginine vasopressin resistance and arginine vasopressin deficiency and a guideline on male hypogonadism in 2027.

Funding for the development of joint guidelines was provided by the societies and did not involve support from other bodies.

Dr. Beuschlein declared funding from the German Research Funding Agency, the Swiss National Science Foundation, University Medicine Zürich, the Vontobel Foundation, the Swiss Heart Foundation, and consultancy work for Bayer AG. Dr. Else declared membership of the advisory board of Merck and Company. Dr. van Hulsteijn declared no conflicts of interest.
 

A version of this article appeared on Medscape.com.

Endocrinologists in Europe and the United States have come together to produce joint guidance to help clinicians manage patients who have, or are a at risk for, glucocorticoid-induced adrenal insufficiency (GC-AI).

Publication of the guidance marks the first time that the European Society of Endocrinology (ESE) and the Endocrine Society have cooperated in producing a guideline.

The guideline “Diagnosis and therapy of glucocorticoid-induced adrenal insufficiency” is published in the May 2024 issues of the societies respective journals, the European Journal of Endocrinology and The Journal of Clinical Endocrinology & Metabolism.

Felix Beuschlein, PhD, from the ESE, who cochaired the clinical committee, told this news organization: “You would hope that this leads to a common ground for a very large number of patients.”

The risk for GC-AI is dependent on the dose, duration, and potency of the glucocorticoid; route of administration; as well as susceptibility of the individual patient. Once it develops or is suspected, careful education and management of affected patients is required.
 

Glucocorticoids Commonly Prescribed

“Glucocorticoid-induced adrenal insufficiency is actually a potential concern for a lot of patients,” coauthor Tobias Else, MD, of the department of internal medicine at the University of Michigan, Ann Arbor, explained to this news organization. “Roughly 1% of all people are being treated with glucocorticoids at any given time.”

“That’s a tremendous number, and it gives the scale of the situation,” added Dr. Beuschlein, director of the department of endocrinology, diabetology, and clinical nutrition at University Hospital Zürich in Switzerland. “Now, fortunately, only a very small proportion of patients who are treated with glucocorticoids do have endocrine problems, and this is what this guideline is actually concentrating on.”

Glucocorticoids are effective agents for treating autoimmune and inflammatory disorders. However, they can cause adverse reactions, particularly when administered at high doses and/or for a prolonged period.

Some studies have reported that even low-dose glucocorticoid use, such as prednisone at 2.5-7.5 mg/d, can increase the risk for cardiovascular disease, severe infections, hypertension, diabetes, osteoporosis, and fractures, as well as increase overall mortality with concurrent type 2 diabetes.

Tapering glucocorticoids can be challenging when symptoms of glucocorticoid withdrawal develop, which overlap with those of adrenal insufficiency, the guidelines stated. In general, tapering of glucocorticoids can occur more rapidly within a supraphysiological range, followed by a slower taper when on physiological glucocorticoid dosing.

The degree and persistence of hypothalamic-pituitary-adrenal (HPA) axis suppression after glucocorticoid therapy is stopped depends on overall exposure and recovery of adrenal function. “This is a quite individual situation, as you can imagine, because it’s about sex, age, and comorbidities, the kind of glucocorticoid or other medications that you’re giving,” said Dr. Beuschlein. To cover contingencies, the paper presents tables to explain management covering various eventualities.

Leonie van Hulsteijn, MD, from the department of clinical epidemiology, Leiden University Medical Center, Leiden, the Netherlands, said: “There are so many other specialties prescribing glucocorticoids; so especially the rheumatologist, the pulmonologist, the general practitioners.”

Asked by this news organization whether the guidelines might dissuade some clinicians from offering glucocorticoids, Dr. van Hulsteijn, who contributed to the guidance, said, “I don’t think it will keep them from prescribing it, but I really hope it will make them aware if somebody, after using long-term glucocorticoids, presents with complaints of adrenal insufficiency, that they will be aware and take immediate action.”
 

Evidence Gaps

The review team took around 2.5 years to draw up the guidance amid some concerns about the quality of the evidence base, which they mainly rated as “low” or “very low.” “I think we all, going through the literature, were quite astonished at how bad the evidence is for a problem as global as that,” said Dr. Beuschlein. “But that’s how it is — sometimes, even in the absence of strong evidence, you have to give some kind of guidance.”

Nevertheless, the authors have called for more research to establish risk factors contributing to the development of and susceptibility to adrenal insufficiency, a greater understanding of glucocorticoid withdrawal, and identification of glucocorticoids retaining immunosuppressive and anti-inflammatory properties that have less effect on HPA axis suppression and an improved adverse effect profile.

Patient-facing materials on GC-AI are also in development and will be made available via the ESE Patient Zone this month.

Next year, the societies plan to publish a joint guideline on diabetes in pregnancy. That will be followed in 2026 by guidance on arginine vasopressin resistance and arginine vasopressin deficiency and a guideline on male hypogonadism in 2027.

Funding for the development of joint guidelines was provided by the societies and did not involve support from other bodies.

Dr. Beuschlein declared funding from the German Research Funding Agency, the Swiss National Science Foundation, University Medicine Zürich, the Vontobel Foundation, the Swiss Heart Foundation, and consultancy work for Bayer AG. Dr. Else declared membership of the advisory board of Merck and Company. Dr. van Hulsteijn declared no conflicts of interest.
 

A version of this article appeared on Medscape.com.

Endocrinologists in Europe and the United States have come together to produce joint guidance to help clinicians manage patients who have, or are a at risk for, glucocorticoid-induced adrenal insufficiency (GC-AI).

Publication of the guidance marks the first time that the European Society of Endocrinology (ESE) and the Endocrine Society have cooperated in producing a guideline.

The guideline “Diagnosis and therapy of glucocorticoid-induced adrenal insufficiency” is published in the May 2024 issues of the societies respective journals, the European Journal of Endocrinology and The Journal of Clinical Endocrinology & Metabolism.

Felix Beuschlein, PhD, from the ESE, who cochaired the clinical committee, told this news organization: “You would hope that this leads to a common ground for a very large number of patients.”

The risk for GC-AI is dependent on the dose, duration, and potency of the glucocorticoid; route of administration; as well as susceptibility of the individual patient. Once it develops or is suspected, careful education and management of affected patients is required.
 

Glucocorticoids Commonly Prescribed

“Glucocorticoid-induced adrenal insufficiency is actually a potential concern for a lot of patients,” coauthor Tobias Else, MD, of the department of internal medicine at the University of Michigan, Ann Arbor, explained to this news organization. “Roughly 1% of all people are being treated with glucocorticoids at any given time.”

“That’s a tremendous number, and it gives the scale of the situation,” added Dr. Beuschlein, director of the department of endocrinology, diabetology, and clinical nutrition at University Hospital Zürich in Switzerland. “Now, fortunately, only a very small proportion of patients who are treated with glucocorticoids do have endocrine problems, and this is what this guideline is actually concentrating on.”

Glucocorticoids are effective agents for treating autoimmune and inflammatory disorders. However, they can cause adverse reactions, particularly when administered at high doses and/or for a prolonged period.

Some studies have reported that even low-dose glucocorticoid use, such as prednisone at 2.5-7.5 mg/d, can increase the risk for cardiovascular disease, severe infections, hypertension, diabetes, osteoporosis, and fractures, as well as increase overall mortality with concurrent type 2 diabetes.

Tapering glucocorticoids can be challenging when symptoms of glucocorticoid withdrawal develop, which overlap with those of adrenal insufficiency, the guidelines stated. In general, tapering of glucocorticoids can occur more rapidly within a supraphysiological range, followed by a slower taper when on physiological glucocorticoid dosing.

The degree and persistence of hypothalamic-pituitary-adrenal (HPA) axis suppression after glucocorticoid therapy is stopped depends on overall exposure and recovery of adrenal function. “This is a quite individual situation, as you can imagine, because it’s about sex, age, and comorbidities, the kind of glucocorticoid or other medications that you’re giving,” said Dr. Beuschlein. To cover contingencies, the paper presents tables to explain management covering various eventualities.

Leonie van Hulsteijn, MD, from the department of clinical epidemiology, Leiden University Medical Center, Leiden, the Netherlands, said: “There are so many other specialties prescribing glucocorticoids; so especially the rheumatologist, the pulmonologist, the general practitioners.”

Asked by this news organization whether the guidelines might dissuade some clinicians from offering glucocorticoids, Dr. van Hulsteijn, who contributed to the guidance, said, “I don’t think it will keep them from prescribing it, but I really hope it will make them aware if somebody, after using long-term glucocorticoids, presents with complaints of adrenal insufficiency, that they will be aware and take immediate action.”
 

Evidence Gaps

The review team took around 2.5 years to draw up the guidance amid some concerns about the quality of the evidence base, which they mainly rated as “low” or “very low.” “I think we all, going through the literature, were quite astonished at how bad the evidence is for a problem as global as that,” said Dr. Beuschlein. “But that’s how it is — sometimes, even in the absence of strong evidence, you have to give some kind of guidance.”

Nevertheless, the authors have called for more research to establish risk factors contributing to the development of and susceptibility to adrenal insufficiency, a greater understanding of glucocorticoid withdrawal, and identification of glucocorticoids retaining immunosuppressive and anti-inflammatory properties that have less effect on HPA axis suppression and an improved adverse effect profile.

Patient-facing materials on GC-AI are also in development and will be made available via the ESE Patient Zone this month.

Next year, the societies plan to publish a joint guideline on diabetes in pregnancy. That will be followed in 2026 by guidance on arginine vasopressin resistance and arginine vasopressin deficiency and a guideline on male hypogonadism in 2027.

Funding for the development of joint guidelines was provided by the societies and did not involve support from other bodies.

Dr. Beuschlein declared funding from the German Research Funding Agency, the Swiss National Science Foundation, University Medicine Zürich, the Vontobel Foundation, the Swiss Heart Foundation, and consultancy work for Bayer AG. Dr. Else declared membership of the advisory board of Merck and Company. Dr. van Hulsteijn declared no conflicts of interest.
 

A version of this article appeared on Medscape.com.

In a recent article in the American Journal of Obstetrics & Gynecology, Rebecca C. Thurston, PhD, and Pauline Maki, PhD, leading scientists in the area of menopause’s impact on brain function, presented data from their assessment of 248 late perimenopausal and postmenopausal women who reported hot flashes, also known as vasomotor symptoms (VMS).

Hot flashes are known to be associated with changes in brain white matter, carotid atherosclerosis, brain function, and memory. Dr. Thurston and colleagues objectively measured VMS over 24 hours, using skin conductance monitoring. Plasma concentrations of Alzheimer’s disease biomarkers, including the amyloid beta 42–to–amyloid beta 40 ratio, were assessed. The mean age of study participants was 59 years, and they experienced a mean of five objective VMS daily.

A key finding was that VMS, particularly those occurring during sleep, were associated with a significantly lower amyloid beta 42–to–beta 40 ratio. This finding suggests that nighttime VMS may be a marker of risk for Alzheimer’s disease.

Previous research has found that menopausal hormone therapy is associated with favorable changes in Alzheimer’s disease biomarkers. Likewise, large observational studies have shown a lower incidence of Alzheimer’s disease among women who initiate hormone therapy in their late perimenopausal or early postmenopausal years and continue such therapy long term.

The findings of this important study by Thurston and colleagues provide further evidence to support the tantalizing possibility that agents that reduce nighttime hot flashes (including hormone therapy) may lower the subsequent incidence of Alzheimer’s disease in high-risk women.
 

Dr. Kaunitz is a tenured professor and associate chair in the department of obstetrics and gynecology at the University of Florida College of Medicine–Jacksonville, and medical director and director of menopause and gynecologic ultrasound services at the University of Florida Southside Women’s Health, Jacksonville. He disclosed ties to Sumitomo Pharma America, Mithra, Viatris, Bayer, Merck, Mylan (Viatris), and UpToDate.

A version of this article appeared on Medscape.com.

In a recent article in the American Journal of Obstetrics & Gynecology, Rebecca C. Thurston, PhD, and Pauline Maki, PhD, leading scientists in the area of menopause’s impact on brain function, presented data from their assessment of 248 late perimenopausal and postmenopausal women who reported hot flashes, also known as vasomotor symptoms (VMS).

Hot flashes are known to be associated with changes in brain white matter, carotid atherosclerosis, brain function, and memory. Dr. Thurston and colleagues objectively measured VMS over 24 hours, using skin conductance monitoring. Plasma concentrations of Alzheimer’s disease biomarkers, including the amyloid beta 42–to–amyloid beta 40 ratio, were assessed. The mean age of study participants was 59 years, and they experienced a mean of five objective VMS daily.

A key finding was that VMS, particularly those occurring during sleep, were associated with a significantly lower amyloid beta 42–to–beta 40 ratio. This finding suggests that nighttime VMS may be a marker of risk for Alzheimer’s disease.

Previous research has found that menopausal hormone therapy is associated with favorable changes in Alzheimer’s disease biomarkers. Likewise, large observational studies have shown a lower incidence of Alzheimer’s disease among women who initiate hormone therapy in their late perimenopausal or early postmenopausal years and continue such therapy long term.

The findings of this important study by Thurston and colleagues provide further evidence to support the tantalizing possibility that agents that reduce nighttime hot flashes (including hormone therapy) may lower the subsequent incidence of Alzheimer’s disease in high-risk women.
 

Dr. Kaunitz is a tenured professor and associate chair in the department of obstetrics and gynecology at the University of Florida College of Medicine–Jacksonville, and medical director and director of menopause and gynecologic ultrasound services at the University of Florida Southside Women’s Health, Jacksonville. He disclosed ties to Sumitomo Pharma America, Mithra, Viatris, Bayer, Merck, Mylan (Viatris), and UpToDate.

A version of this article appeared on Medscape.com.

In a recent article in the American Journal of Obstetrics & Gynecology, Rebecca C. Thurston, PhD, and Pauline Maki, PhD, leading scientists in the area of menopause’s impact on brain function, presented data from their assessment of 248 late perimenopausal and postmenopausal women who reported hot flashes, also known as vasomotor symptoms (VMS).

Hot flashes are known to be associated with changes in brain white matter, carotid atherosclerosis, brain function, and memory. Dr. Thurston and colleagues objectively measured VMS over 24 hours, using skin conductance monitoring. Plasma concentrations of Alzheimer’s disease biomarkers, including the amyloid beta 42–to–amyloid beta 40 ratio, were assessed. The mean age of study participants was 59 years, and they experienced a mean of five objective VMS daily.

A key finding was that VMS, particularly those occurring during sleep, were associated with a significantly lower amyloid beta 42–to–beta 40 ratio. This finding suggests that nighttime VMS may be a marker of risk for Alzheimer’s disease.

Previous research has found that menopausal hormone therapy is associated with favorable changes in Alzheimer’s disease biomarkers. Likewise, large observational studies have shown a lower incidence of Alzheimer’s disease among women who initiate hormone therapy in their late perimenopausal or early postmenopausal years and continue such therapy long term.

The findings of this important study by Thurston and colleagues provide further evidence to support the tantalizing possibility that agents that reduce nighttime hot flashes (including hormone therapy) may lower the subsequent incidence of Alzheimer’s disease in high-risk women.
 

Dr. Kaunitz is a tenured professor and associate chair in the department of obstetrics and gynecology at the University of Florida College of Medicine–Jacksonville, and medical director and director of menopause and gynecologic ultrasound services at the University of Florida Southside Women’s Health, Jacksonville. He disclosed ties to Sumitomo Pharma America, Mithra, Viatris, Bayer, Merck, Mylan (Viatris), and UpToDate.

A version of this article appeared on Medscape.com.

A new systematic literature review adds complexity to the controversy over testosterone’s relationship to risk for myocardial infarction, stroke, cardiovascular death, and all-cause mortality.

Last year, the TRAVERSE (Testosterone Replacement Therapy for Assessment of Long-term Vascular Events and Efficacy ResponSE in Hypogonadal Men) trial was the first randomized, placebo-controlled study designed and powered to determine whether testosterone therapy increased risk for major cardiovascular events in men (ages 45-80 years). Its conclusions provided reassurance that modest use of testosterone therapy short term does not increase CVD risk.

But other studies have had different conclusions and TRAVERSE left unanswered questions, so Bu B. Yeap, MBBS, PhD, an endocrinologist at the University of Western Australia in Crawley, and colleagues completed a literature review with 11 prospective cohort studies of community-dwelling men with sex steroid levels measured with mass spectrometry. Nine of the studies provided individual participation data (IPD); two used aggregate data, and all had at least 5 years of follow-up.

The findings were published in Annals of Internal Medicine .

Dr. Yeap’s team concluded that certain groups of men have higher risk for CVD events. In this study, men with very low testosterone, high luteinizing hormone (LH), or very low estradiol concentrations had higher all-cause mortality. Sex hormone–binding globulin (SHBG) concentration was positively associated and dihydrotestosterone (DHT) levels were nonlinearly associated with all-cause mortality and CVD mortality.

The testosterone level below which men had higher risk of death from any cause was 7.4 nmol/L (213 ng/dL), regardless of LH concentration, the researchers concluded, writing, “This adds to information on reference ranges based on distributions of testosterone in selected samples of healthy men.”

The link between higher SHBG concentrations and higher all-cause mortality “may be related to its role as the major binding protein for sex steroids in the circulation,” the authors wrote. “We found a U-shaped association of DHT with all-cause and CVD-related mortality risks, which were higher at lower and very high DHT concentrations. Men with very low DHT concentrations also had increased risk for incident CVD events. Further investigation into potential underlying mechanisms for these associations is warranted.”
 

Rigorous Methodology Adds Value

Bradley D. Anawalt, MD, with the University of Washington School of Medicine in Seattle, pointed out in an accompanying editorial that the study’s findings are particularly valuable because of the team’s rigorous methodology. The team measured testosterone with the gold standard, mass spectrometry, which can also measure DHT and estradiol more accurately than widely available commercial immunoassays, which “are inaccurate for measurement of these sex steroids in men, who typically have low serum concentrations of these two metabolites of testosterone,” Dr. Anawalt said.

Also, the researchers obtained raw data from the nine IPD studies and reanalyzed the combined data, which allows for more sophisticated analysis when combining data from multiple studies, Dr. Anawalt explained.

The main finding from the Yeap et al. study, he wrote, is that high testosterone concentrations at baseline were not linked with increased deaths from CVD or from all causes “but very low serum total testosterone concentrations at baseline were.

“It is tempting to hypothesize that testosterone therapy might have cardiovascular benefits solely in patients with very low concentrations of serum total testosterone,” Dr. Anawalt wrote.

He pointed out as particularly interesting the findings for DHT and estradiol.

“The finding that a low serum estradiol concentration is associated with higher all-cause mortality adds another reason (in addition to the adverse effects on body fat and bone health) to avoid aromatase inhibitors that are commonly taken by persons who use anabolic steroids,” he wrote. “The prospect of a U-shaped curve for the relationship between serum DHT and higher cardiovascular risk warrants further study.”

The work is funded by the Government of Western Australia and Lawley Pharmaceuticals. The authors’ and editorial writer’s conflicts of interest are listed in the full study.

A new systematic literature review adds complexity to the controversy over testosterone’s relationship to risk for myocardial infarction, stroke, cardiovascular death, and all-cause mortality.

Last year, the TRAVERSE (Testosterone Replacement Therapy for Assessment of Long-term Vascular Events and Efficacy ResponSE in Hypogonadal Men) trial was the first randomized, placebo-controlled study designed and powered to determine whether testosterone therapy increased risk for major cardiovascular events in men (ages 45-80 years). Its conclusions provided reassurance that modest use of testosterone therapy short term does not increase CVD risk.

But other studies have had different conclusions and TRAVERSE left unanswered questions, so Bu B. Yeap, MBBS, PhD, an endocrinologist at the University of Western Australia in Crawley, and colleagues completed a literature review with 11 prospective cohort studies of community-dwelling men with sex steroid levels measured with mass spectrometry. Nine of the studies provided individual participation data (IPD); two used aggregate data, and all had at least 5 years of follow-up.

The findings were published in Annals of Internal Medicine .

Dr. Yeap’s team concluded that certain groups of men have higher risk for CVD events. In this study, men with very low testosterone, high luteinizing hormone (LH), or very low estradiol concentrations had higher all-cause mortality. Sex hormone–binding globulin (SHBG) concentration was positively associated and dihydrotestosterone (DHT) levels were nonlinearly associated with all-cause mortality and CVD mortality.

The testosterone level below which men had higher risk of death from any cause was 7.4 nmol/L (213 ng/dL), regardless of LH concentration, the researchers concluded, writing, “This adds to information on reference ranges based on distributions of testosterone in selected samples of healthy men.”

The link between higher SHBG concentrations and higher all-cause mortality “may be related to its role as the major binding protein for sex steroids in the circulation,” the authors wrote. “We found a U-shaped association of DHT with all-cause and CVD-related mortality risks, which were higher at lower and very high DHT concentrations. Men with very low DHT concentrations also had increased risk for incident CVD events. Further investigation into potential underlying mechanisms for these associations is warranted.”
 

Rigorous Methodology Adds Value

Bradley D. Anawalt, MD, with the University of Washington School of Medicine in Seattle, pointed out in an accompanying editorial that the study’s findings are particularly valuable because of the team’s rigorous methodology. The team measured testosterone with the gold standard, mass spectrometry, which can also measure DHT and estradiol more accurately than widely available commercial immunoassays, which “are inaccurate for measurement of these sex steroids in men, who typically have low serum concentrations of these two metabolites of testosterone,” Dr. Anawalt said.

Also, the researchers obtained raw data from the nine IPD studies and reanalyzed the combined data, which allows for more sophisticated analysis when combining data from multiple studies, Dr. Anawalt explained.

The main finding from the Yeap et al. study, he wrote, is that high testosterone concentrations at baseline were not linked with increased deaths from CVD or from all causes “but very low serum total testosterone concentrations at baseline were.

“It is tempting to hypothesize that testosterone therapy might have cardiovascular benefits solely in patients with very low concentrations of serum total testosterone,” Dr. Anawalt wrote.

He pointed out as particularly interesting the findings for DHT and estradiol.

“The finding that a low serum estradiol concentration is associated with higher all-cause mortality adds another reason (in addition to the adverse effects on body fat and bone health) to avoid aromatase inhibitors that are commonly taken by persons who use anabolic steroids,” he wrote. “The prospect of a U-shaped curve for the relationship between serum DHT and higher cardiovascular risk warrants further study.”

The work is funded by the Government of Western Australia and Lawley Pharmaceuticals. The authors’ and editorial writer’s conflicts of interest are listed in the full study.

A new systematic literature review adds complexity to the controversy over testosterone’s relationship to risk for myocardial infarction, stroke, cardiovascular death, and all-cause mortality.

Last year, the TRAVERSE (Testosterone Replacement Therapy for Assessment of Long-term Vascular Events and Efficacy ResponSE in Hypogonadal Men) trial was the first randomized, placebo-controlled study designed and powered to determine whether testosterone therapy increased risk for major cardiovascular events in men (ages 45-80 years). Its conclusions provided reassurance that modest use of testosterone therapy short term does not increase CVD risk.

But other studies have had different conclusions and TRAVERSE left unanswered questions, so Bu B. Yeap, MBBS, PhD, an endocrinologist at the University of Western Australia in Crawley, and colleagues completed a literature review with 11 prospective cohort studies of community-dwelling men with sex steroid levels measured with mass spectrometry. Nine of the studies provided individual participation data (IPD); two used aggregate data, and all had at least 5 years of follow-up.

The findings were published in Annals of Internal Medicine .

Dr. Yeap’s team concluded that certain groups of men have higher risk for CVD events. In this study, men with very low testosterone, high luteinizing hormone (LH), or very low estradiol concentrations had higher all-cause mortality. Sex hormone–binding globulin (SHBG) concentration was positively associated and dihydrotestosterone (DHT) levels were nonlinearly associated with all-cause mortality and CVD mortality.

The testosterone level below which men had higher risk of death from any cause was 7.4 nmol/L (213 ng/dL), regardless of LH concentration, the researchers concluded, writing, “This adds to information on reference ranges based on distributions of testosterone in selected samples of healthy men.”

The link between higher SHBG concentrations and higher all-cause mortality “may be related to its role as the major binding protein for sex steroids in the circulation,” the authors wrote. “We found a U-shaped association of DHT with all-cause and CVD-related mortality risks, which were higher at lower and very high DHT concentrations. Men with very low DHT concentrations also had increased risk for incident CVD events. Further investigation into potential underlying mechanisms for these associations is warranted.”
 

Rigorous Methodology Adds Value

Bradley D. Anawalt, MD, with the University of Washington School of Medicine in Seattle, pointed out in an accompanying editorial that the study’s findings are particularly valuable because of the team’s rigorous methodology. The team measured testosterone with the gold standard, mass spectrometry, which can also measure DHT and estradiol more accurately than widely available commercial immunoassays, which “are inaccurate for measurement of these sex steroids in men, who typically have low serum concentrations of these two metabolites of testosterone,” Dr. Anawalt said.

Also, the researchers obtained raw data from the nine IPD studies and reanalyzed the combined data, which allows for more sophisticated analysis when combining data from multiple studies, Dr. Anawalt explained.

The main finding from the Yeap et al. study, he wrote, is that high testosterone concentrations at baseline were not linked with increased deaths from CVD or from all causes “but very low serum total testosterone concentrations at baseline were.

“It is tempting to hypothesize that testosterone therapy might have cardiovascular benefits solely in patients with very low concentrations of serum total testosterone,” Dr. Anawalt wrote.

He pointed out as particularly interesting the findings for DHT and estradiol.

“The finding that a low serum estradiol concentration is associated with higher all-cause mortality adds another reason (in addition to the adverse effects on body fat and bone health) to avoid aromatase inhibitors that are commonly taken by persons who use anabolic steroids,” he wrote. “The prospect of a U-shaped curve for the relationship between serum DHT and higher cardiovascular risk warrants further study.”

The work is funded by the Government of Western Australia and Lawley Pharmaceuticals. The authors’ and editorial writer’s conflicts of interest are listed in the full study.

Observational studies on red meat consumption and lifespan are prime examples of attempts to find signal in a sea of noise. 

Randomized controlled trials are the best way to sort cause from mere correlation. But these are not possible in most matters of food consumption. So, we look back and observe groups with different exposures.

My most frequent complaint about these nonrandom comparison studies has been the chance that the two groups differ in important ways, and it’s these differences — not the food in question — that account for the disparate outcomes.

But selection biases are only one issue. There is also the matter of analytic flexibility. Observational studies are born from large databases. Researchers have many choices in how to analyze all these data.

A few years ago, Brian Nosek, PhD, and colleagues elegantly showed that analytic choices can affect results. His Many Analysts, One Data Set study had little uptake in the medical community, perhaps because he studied a social science question.
 

Multiple Ways to Slice the Data

Recently, a group from McMaster University, led by Dena Zeraatkar, PhD, has confirmed the analytic choices problem, using the question of red meat consumption and mortality. 

Their idea was simple: Because there are many plausible and defensible ways to analyze a dataset, we should not choose one method; rather, we should choose thousands, combine the results, and see where the truth lies. 

You might wonder how there could be thousands of ways to analyze a dataset. I surely did. 

The answer stems from the choices that researchers face. For instance, there is the selection of eligible participants, the choice of analytic model (logistic, Poisson, etc.), and covariates for which to adjust. Think exponents when combining possible choices.

Dr. Zeraatkar and colleagues are research methodologists, so, sadly, they are comfortable with the clunky name of this approach: specification curve analysis. Don’t be deterred. It means that they analyze the data in thousands of ways using computers. Each way is a specification. In the end, the specifications give rise to a curve of hazard ratios for red meat and mortality. Another name for this approach is multiverse analysis.

For their paper in the Journal of Clinical Epidemiology, aptly named “Grilling the Data,” they didn’t just conjure up the many analytic ways to study the red meat–mortality question. Instead, they used a published systematic review of 15 studies on unprocessed red meat and early mortality. The studies included in this review reported 70 unique ways to analyze the association. 
 

Is Red Meat Good or Bad?

Their first finding was that this analysis yielded widely disparate effect estimates, from 0.63 (reduced risk for early death) to 2.31 (a higher risk). The median hazard ratio was 1.14 with an interquartile range (IQR) of 1.02-1.23. One might conclude from this that eating red meat is associated with a slightly higher risk for early mortality. 

Their second step was to calculate how many ways (specifications) there were to analyze the data by totaling all possible combinations of choices in the 70 ways found in the systematic review. 

They calculated a total of 10 quadrillion possible unique analyses. A quadrillion is 1 with 15 zeros. Computing power cannot handle that amount of analyses yet. So, they generated 20 random unique combinations of covariates, which narrowed the number of analyses to about 1400. About 200 of these were excluded due to implausibly wide confidence intervals. 

Voilà. They now had about 1200 different ways to analyze a dataset; they chose an NHANES longitudinal cohort study from 2007-2014. They deemed each of the more than 1200 approaches plausible because they were derived from peer-reviewed papers written by experts in epidemiology. 
 

Specification Curve Analyses Results 

Each analysis (or specification) yielded a hazard ratio for red meat exposure and death.

• The median HR was 0.94 (IQR, 0.83-1.05) for the effect of red meat on all-cause mortality — ie, not significant.
• The range of hazard ratios was large. They went from 0.51 — a 49% reduced risk for early mortality — to 1.75: a 75% increase in early mortality.
• Among all analyses, 36% yielded hazard ratios above 1.0 and 64% less than 1.0.
• As for statistical significance, defined as P ≤.05, only 4% (or 48 specifications) met this threshold. Zeraatkar reminded me that this is what you’d expect if unprocessed red meat has no effect on longevity.
• Of the 48 analyses deemed statistically significant, 40 indicated that red meat consumption reduced early death and eight indicated that eating red meat led to higher mortality.
• Nearly half the analyses yielded unexciting point estimates, with hazard ratios between 0.90 and 1.10.

Paradigm Changing 

As a user of evidence, I find this a potentially paradigm-changing study. Observational studies far outnumber randomized trials. For many medical questions, observational data are all we have. 

Now think about every observational study published. The authors tell you — post hoc — which method they used to analyze the data. The key point is that it is one method. 

Dr. Zeraatkar and colleagues have shown that there are thousands of plausible ways to analyze the data, and this can lead to very different findings. In the specific question of red meat and mortality, their many analyses yielded a null result. 

Now imagine other cases where the researchers did many analyses of a dataset and chose to publish only the significant ones. Observational studies are rarely preregistered, so a reader cannot know how a result would vary depending on analytic choices. A specification curve analysis of a dataset provides a much broader picture. In the case of red meat, you see some significant results, but the vast majority hover around null. 

What about the difficulty in analyzing a dataset 1000 different ways? Dr. Zeraatkar told me that it is harder than just choosing one method, but it’s not impossible. 

The main barrier to adopting this multiverse approach to data, she noted, was not the extra work but the entrenched belief among researchers that there is a best way to analyze data. 

I hope you read this paper and think about it every time you read an observational study that finds a positive or negative association between two things. Ask: What if the researchers were as careful as Dr. Zeraatkar and colleagues and did multiple different analyses? Would the finding hold up to a series of plausible analytic choices? 

Nutritional epidemiology would benefit greatly from this approach. But so would any observational study of an exposure and outcome. I suspect that the number of “positive” associations would diminish. And that would not be a bad thing.

 

Dr. Mandrola, a clinical electrophysiologist at Baptist Medical Associates, Louisville, Kentucky, disclosed no relevant financial relationships.

A version of this article appeared on Medscape.com.

Observational studies on red meat consumption and lifespan are prime examples of attempts to find signal in a sea of noise. 

Randomized controlled trials are the best way to sort cause from mere correlation. But these are not possible in most matters of food consumption. So, we look back and observe groups with different exposures.

My most frequent complaint about these nonrandom comparison studies has been the chance that the two groups differ in important ways, and it’s these differences — not the food in question — that account for the disparate outcomes.

But selection biases are only one issue. There is also the matter of analytic flexibility. Observational studies are born from large databases. Researchers have many choices in how to analyze all these data.

A few years ago, Brian Nosek, PhD, and colleagues elegantly showed that analytic choices can affect results. His Many Analysts, One Data Set study had little uptake in the medical community, perhaps because he studied a social science question.
 

Multiple Ways to Slice the Data

Recently, a group from McMaster University, led by Dena Zeraatkar, PhD, has confirmed the analytic choices problem, using the question of red meat consumption and mortality. 

Their idea was simple: Because there are many plausible and defensible ways to analyze a dataset, we should not choose one method; rather, we should choose thousands, combine the results, and see where the truth lies. 

You might wonder how there could be thousands of ways to analyze a dataset. I surely did. 

The answer stems from the choices that researchers face. For instance, there is the selection of eligible participants, the choice of analytic model (logistic, Poisson, etc.), and covariates for which to adjust. Think exponents when combining possible choices.

Dr. Zeraatkar and colleagues are research methodologists, so, sadly, they are comfortable with the clunky name of this approach: specification curve analysis. Don’t be deterred. It means that they analyze the data in thousands of ways using computers. Each way is a specification. In the end, the specifications give rise to a curve of hazard ratios for red meat and mortality. Another name for this approach is multiverse analysis.

For their paper in the Journal of Clinical Epidemiology, aptly named “Grilling the Data,” they didn’t just conjure up the many analytic ways to study the red meat–mortality question. Instead, they used a published systematic review of 15 studies on unprocessed red meat and early mortality. The studies included in this review reported 70 unique ways to analyze the association. 
 

Is Red Meat Good or Bad?

Their first finding was that this analysis yielded widely disparate effect estimates, from 0.63 (reduced risk for early death) to 2.31 (a higher risk). The median hazard ratio was 1.14 with an interquartile range (IQR) of 1.02-1.23. One might conclude from this that eating red meat is associated with a slightly higher risk for early mortality. 

Their second step was to calculate how many ways (specifications) there were to analyze the data by totaling all possible combinations of choices in the 70 ways found in the systematic review. 

They calculated a total of 10 quadrillion possible unique analyses. A quadrillion is 1 with 15 zeros. Computing power cannot handle that amount of analyses yet. So, they generated 20 random unique combinations of covariates, which narrowed the number of analyses to about 1400. About 200 of these were excluded due to implausibly wide confidence intervals. 

Voilà. They now had about 1200 different ways to analyze a dataset; they chose an NHANES longitudinal cohort study from 2007-2014. They deemed each of the more than 1200 approaches plausible because they were derived from peer-reviewed papers written by experts in epidemiology. 
 

Specification Curve Analyses Results 

Each analysis (or specification) yielded a hazard ratio for red meat exposure and death.

• The median HR was 0.94 (IQR, 0.83-1.05) for the effect of red meat on all-cause mortality — ie, not significant.
• The range of hazard ratios was large. They went from 0.51 — a 49% reduced risk for early mortality — to 1.75: a 75% increase in early mortality.
• Among all analyses, 36% yielded hazard ratios above 1.0 and 64% less than 1.0.
• As for statistical significance, defined as P ≤.05, only 4% (or 48 specifications) met this threshold. Zeraatkar reminded me that this is what you’d expect if unprocessed red meat has no effect on longevity.
• Of the 48 analyses deemed statistically significant, 40 indicated that red meat consumption reduced early death and eight indicated that eating red meat led to higher mortality.
• Nearly half the analyses yielded unexciting point estimates, with hazard ratios between 0.90 and 1.10.

Paradigm Changing 

As a user of evidence, I find this a potentially paradigm-changing study. Observational studies far outnumber randomized trials. For many medical questions, observational data are all we have. 

Now think about every observational study published. The authors tell you — post hoc — which method they used to analyze the data. The key point is that it is one method. 

Dr. Zeraatkar and colleagues have shown that there are thousands of plausible ways to analyze the data, and this can lead to very different findings. In the specific question of red meat and mortality, their many analyses yielded a null result. 

Now imagine other cases where the researchers did many analyses of a dataset and chose to publish only the significant ones. Observational studies are rarely preregistered, so a reader cannot know how a result would vary depending on analytic choices. A specification curve analysis of a dataset provides a much broader picture. In the case of red meat, you see some significant results, but the vast majority hover around null. 

What about the difficulty in analyzing a dataset 1000 different ways? Dr. Zeraatkar told me that it is harder than just choosing one method, but it’s not impossible. 

The main barrier to adopting this multiverse approach to data, she noted, was not the extra work but the entrenched belief among researchers that there is a best way to analyze data. 

I hope you read this paper and think about it every time you read an observational study that finds a positive or negative association between two things. Ask: What if the researchers were as careful as Dr. Zeraatkar and colleagues and did multiple different analyses? Would the finding hold up to a series of plausible analytic choices? 

Nutritional epidemiology would benefit greatly from this approach. But so would any observational study of an exposure and outcome. I suspect that the number of “positive” associations would diminish. And that would not be a bad thing.

 

Dr. Mandrola, a clinical electrophysiologist at Baptist Medical Associates, Louisville, Kentucky, disclosed no relevant financial relationships.

A version of this article appeared on Medscape.com.

Observational studies on red meat consumption and lifespan are prime examples of attempts to find signal in a sea of noise. 

Randomized controlled trials are the best way to sort cause from mere correlation. But these are not possible in most matters of food consumption. So, we look back and observe groups with different exposures.

My most frequent complaint about these nonrandom comparison studies has been the chance that the two groups differ in important ways, and it’s these differences — not the food in question — that account for the disparate outcomes.

But selection biases are only one issue. There is also the matter of analytic flexibility. Observational studies are born from large databases. Researchers have many choices in how to analyze all these data.

A few years ago, Brian Nosek, PhD, and colleagues elegantly showed that analytic choices can affect results. His Many Analysts, One Data Set study had little uptake in the medical community, perhaps because he studied a social science question.
 

Multiple Ways to Slice the Data

Recently, a group from McMaster University, led by Dena Zeraatkar, PhD, has confirmed the analytic choices problem, using the question of red meat consumption and mortality. 

Their idea was simple: Because there are many plausible and defensible ways to analyze a dataset, we should not choose one method; rather, we should choose thousands, combine the results, and see where the truth lies. 

You might wonder how there could be thousands of ways to analyze a dataset. I surely did. 

The answer stems from the choices that researchers face. For instance, there is the selection of eligible participants, the choice of analytic model (logistic, Poisson, etc.), and covariates for which to adjust. Think exponents when combining possible choices.

Dr. Zeraatkar and colleagues are research methodologists, so, sadly, they are comfortable with the clunky name of this approach: specification curve analysis. Don’t be deterred. It means that they analyze the data in thousands of ways using computers. Each way is a specification. In the end, the specifications give rise to a curve of hazard ratios for red meat and mortality. Another name for this approach is multiverse analysis.

For their paper in the Journal of Clinical Epidemiology, aptly named “Grilling the Data,” they didn’t just conjure up the many analytic ways to study the red meat–mortality question. Instead, they used a published systematic review of 15 studies on unprocessed red meat and early mortality. The studies included in this review reported 70 unique ways to analyze the association. 
 

Is Red Meat Good or Bad?

Their first finding was that this analysis yielded widely disparate effect estimates, from 0.63 (reduced risk for early death) to 2.31 (a higher risk). The median hazard ratio was 1.14 with an interquartile range (IQR) of 1.02-1.23. One might conclude from this that eating red meat is associated with a slightly higher risk for early mortality. 

Their second step was to calculate how many ways (specifications) there were to analyze the data by totaling all possible combinations of choices in the 70 ways found in the systematic review. 

They calculated a total of 10 quadrillion possible unique analyses. A quadrillion is 1 with 15 zeros. Computing power cannot handle that amount of analyses yet. So, they generated 20 random unique combinations of covariates, which narrowed the number of analyses to about 1400. About 200 of these were excluded due to implausibly wide confidence intervals. 

Voilà. They now had about 1200 different ways to analyze a dataset; they chose an NHANES longitudinal cohort study from 2007-2014. They deemed each of the more than 1200 approaches plausible because they were derived from peer-reviewed papers written by experts in epidemiology. 
 

Specification Curve Analyses Results 

Each analysis (or specification) yielded a hazard ratio for red meat exposure and death.

• The median HR was 0.94 (IQR, 0.83-1.05) for the effect of red meat on all-cause mortality — ie, not significant.
• The range of hazard ratios was large. They went from 0.51 — a 49% reduced risk for early mortality — to 1.75: a 75% increase in early mortality.
• Among all analyses, 36% yielded hazard ratios above 1.0 and 64% less than 1.0.
• As for statistical significance, defined as P ≤.05, only 4% (or 48 specifications) met this threshold. Zeraatkar reminded me that this is what you’d expect if unprocessed red meat has no effect on longevity.
• Of the 48 analyses deemed statistically significant, 40 indicated that red meat consumption reduced early death and eight indicated that eating red meat led to higher mortality.
• Nearly half the analyses yielded unexciting point estimates, with hazard ratios between 0.90 and 1.10.

Paradigm Changing 

As a user of evidence, I find this a potentially paradigm-changing study. Observational studies far outnumber randomized trials. For many medical questions, observational data are all we have. 

Now think about every observational study published. The authors tell you — post hoc — which method they used to analyze the data. The key point is that it is one method. 

Dr. Zeraatkar and colleagues have shown that there are thousands of plausible ways to analyze the data, and this can lead to very different findings. In the specific question of red meat and mortality, their many analyses yielded a null result. 

Now imagine other cases where the researchers did many analyses of a dataset and chose to publish only the significant ones. Observational studies are rarely preregistered, so a reader cannot know how a result would vary depending on analytic choices. A specification curve analysis of a dataset provides a much broader picture. In the case of red meat, you see some significant results, but the vast majority hover around null. 

What about the difficulty in analyzing a dataset 1000 different ways? Dr. Zeraatkar told me that it is harder than just choosing one method, but it’s not impossible. 

The main barrier to adopting this multiverse approach to data, she noted, was not the extra work but the entrenched belief among researchers that there is a best way to analyze data. 

I hope you read this paper and think about it every time you read an observational study that finds a positive or negative association between two things. Ask: What if the researchers were as careful as Dr. Zeraatkar and colleagues and did multiple different analyses? Would the finding hold up to a series of plausible analytic choices? 

Nutritional epidemiology would benefit greatly from this approach. But so would any observational study of an exposure and outcome. I suspect that the number of “positive” associations would diminish. And that would not be a bad thing.

 

Dr. Mandrola, a clinical electrophysiologist at Baptist Medical Associates, Louisville, Kentucky, disclosed no relevant financial relationships.

A version of this article appeared on Medscape.com.

ASUNCIÓN, PARAGUAY — Sarcopenic obesity, which is characterized by excess adiposity and muscle loss, is an “underestimated and underdiagnosed” condition, said the panelists at a session of the XV Latin American Obesity Congress (FLASO 2024) and II Paraguayan Congress of Obesity. The condition often affects older adults but can also occur at any age as a result of unhealthy habits or intensive or repeated weight loss efforts. 

“The drugs currently used for managing obesity promote significant weight loss, but by losing fat, muscle is also lost,” said Fabiola Romero Gómez, MD, a professor of medicine at the National University of Asunción and president of the Paraguayan Society of Endocrinology and Metabolism. “We must handle [these drugs] with extreme care. When we employ a strategy that achieves this significant weight loss, we must ensure that the patient receives a good protein intake and engages in resistance exercises, because otherwise, the cure may be worse than the disease.”

Some patients develop sarcopenic obesity after using glucagon-like peptide-1 (GLP-1) analogs, undergoing bariatric surgery, or pursuing restrictive diets, Dr. Romero said in an interview. The condition is more common when there are long-standing cycles of weight loss and subsequent gain, “which accounts for the majority of our patients,” she said.

“An important, largely ignored aspect of weight loss, whether through pharmacological or lifestyle intervention, is that a portion of the weight loss comprises lean muscle,” according to a recent editorial in Nature Medicine. “Weight regain, however, is almost entirely fat. People with chronic obesity often lose and regain weight in repeated cycles, each of which results in body-composition changes (even if they experience some net weight loss). This cycling puts people unable to sustain weight loss at risk of being metabolically less healthy than they were before the initial weight loss was achieved — in effect, at risk of developing sarcopenic obesity.”
 

A ‘Hidden’ Problem

Sarcopenic obesity is “something hidden, something that we often do not see. Why? Because if we do not make measurements of body composition, we will not realize it,” said Dr. Romero.

According to the 2022 consensus of the European Society for Clinical Nutrition and Metabolism and the European Association for the Study of Obesity, clinical signs or factors suggesting sarcopenic obesity include age over 70 years, diagnosis of a chronic disease, repeated falls or weakness, and nutritional events such as recent weight loss or rapid gain, long-standing restrictive diets, and bariatric surgery. 

The European guidelines also propose screening in individuals at risk to check for an increased body mass index (BMI) or waist circumference and suspicion parameters of sarcopenia. In this group of patients, the diagnosis should be made based on the analysis of alterations in muscle-skeletal functional parameters, such as grip or pinch strength or the 30-second chair stand test, followed by a determination of body mass alteration using dual-energy x-ray absorptiometry or electrical bioimpedance. 

Electrical bioimpedance is Dr. Romero’s preferred method. It is an economical, simple, and easily transportable test that calculates lean muscle mass, fat mass, and body water based on electrical conductivity, she said. Experts have pointed out that bioimpedance scales “will revolutionize the way we measure obesity,” she added. 

In an as-yet-unpublished study that received an honorable mention at the 3rd Paraguayan Congress of Endocrinology, Diabetes, and Metabolism last year, Dr. Romero and colleagues studied 126 patients (median age, 45 years) with obesity defined by percentage of fat mass determined by bioimpedance. When their BMI was analyzed, 11.1% were “normal” weight, and 35.7% were “overweight.” Even waist circumference measurement suggested that about 15% of participants were without obesity. Moreover, almost one in four participants presented with sarcopenia, “implying a decrease in quality of life and physical disability in the future if not investigated, diagnosed, and treated correctly,” said Dr. Romero. 
 

Prevention and Recommendations

Exercise and nutrition are two key components in the prevention and management of sarcopenic obesity. Physicians prescribing GLP-1 receptor agonists “must also counsel patients about incorporating aerobic exercise and resistance training as part of the treatment plan, as well as ensuring they eat a high-protein diet,” Yoon Ji Ahn, MD, and Vibha Singhal, MD, MPH, of the Weight Management Center of Massachusetts General Hospital in Boston, wrote in a commentary published by this news organization.

Paraguayan nutritionist Patricia López Soto, a diabetes educator with postgraduate degrees in obesity, diabetes, and bariatric surgery from Favaloro University in Buenos Aires, shared with this news organization the following general recommendations to prevent sarcopenic obesity in patients undergoing weight loss treatment: 

• Follow a healthy and balanced Mediterranean or DASH-style diet.
• Increase protein intake at the three to four main meals to a minimum of 1.4-1.5 g/kg/day.
• Try to make the protein intake mostly of high biological value: Beef, chicken, fish, eggs, seafood, cheese, skim milk, and yogurt.
• Ensure protein intake at each meal of between 25 g and 30 g to increase protein synthesis. For example, a 150 g portion of meat or chicken provides 30 g of protein.
• If the protein intake is not achieved through food, a supplement measure like isolated and hydrolyzed whey protein is a good option.
• Engage in strength or resistance training (weightlifting) three to four times per week and 30 minutes of cardiovascular exercise every day.
• To improve adherence, treatment should be carried out with a multidisciplinary team that includes a physician, nutritionist, and physical trainer, with frequent check-ups and body composition studies by bioimpedance.

Dr. Romero and Ms. López declared no relevant financial relationships. 
 

This story was translated from the Medscape Spanish edition using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

ASUNCIÓN, PARAGUAY — Sarcopenic obesity, which is characterized by excess adiposity and muscle loss, is an “underestimated and underdiagnosed” condition, said the panelists at a session of the XV Latin American Obesity Congress (FLASO 2024) and II Paraguayan Congress of Obesity. The condition often affects older adults but can also occur at any age as a result of unhealthy habits or intensive or repeated weight loss efforts. 

“The drugs currently used for managing obesity promote significant weight loss, but by losing fat, muscle is also lost,” said Fabiola Romero Gómez, MD, a professor of medicine at the National University of Asunción and president of the Paraguayan Society of Endocrinology and Metabolism. “We must handle [these drugs] with extreme care. When we employ a strategy that achieves this significant weight loss, we must ensure that the patient receives a good protein intake and engages in resistance exercises, because otherwise, the cure may be worse than the disease.”

Some patients develop sarcopenic obesity after using glucagon-like peptide-1 (GLP-1) analogs, undergoing bariatric surgery, or pursuing restrictive diets, Dr. Romero said in an interview. The condition is more common when there are long-standing cycles of weight loss and subsequent gain, “which accounts for the majority of our patients,” she said.

“An important, largely ignored aspect of weight loss, whether through pharmacological or lifestyle intervention, is that a portion of the weight loss comprises lean muscle,” according to a recent editorial in Nature Medicine. “Weight regain, however, is almost entirely fat. People with chronic obesity often lose and regain weight in repeated cycles, each of which results in body-composition changes (even if they experience some net weight loss). This cycling puts people unable to sustain weight loss at risk of being metabolically less healthy than they were before the initial weight loss was achieved — in effect, at risk of developing sarcopenic obesity.”
 

A ‘Hidden’ Problem

Sarcopenic obesity is “something hidden, something that we often do not see. Why? Because if we do not make measurements of body composition, we will not realize it,” said Dr. Romero.

According to the 2022 consensus of the European Society for Clinical Nutrition and Metabolism and the European Association for the Study of Obesity, clinical signs or factors suggesting sarcopenic obesity include age over 70 years, diagnosis of a chronic disease, repeated falls or weakness, and nutritional events such as recent weight loss or rapid gain, long-standing restrictive diets, and bariatric surgery. 

The European guidelines also propose screening in individuals at risk to check for an increased body mass index (BMI) or waist circumference and suspicion parameters of sarcopenia. In this group of patients, the diagnosis should be made based on the analysis of alterations in muscle-skeletal functional parameters, such as grip or pinch strength or the 30-second chair stand test, followed by a determination of body mass alteration using dual-energy x-ray absorptiometry or electrical bioimpedance. 

Electrical bioimpedance is Dr. Romero’s preferred method. It is an economical, simple, and easily transportable test that calculates lean muscle mass, fat mass, and body water based on electrical conductivity, she said. Experts have pointed out that bioimpedance scales “will revolutionize the way we measure obesity,” she added. 

In an as-yet-unpublished study that received an honorable mention at the 3rd Paraguayan Congress of Endocrinology, Diabetes, and Metabolism last year, Dr. Romero and colleagues studied 126 patients (median age, 45 years) with obesity defined by percentage of fat mass determined by bioimpedance. When their BMI was analyzed, 11.1% were “normal” weight, and 35.7% were “overweight.” Even waist circumference measurement suggested that about 15% of participants were without obesity. Moreover, almost one in four participants presented with sarcopenia, “implying a decrease in quality of life and physical disability in the future if not investigated, diagnosed, and treated correctly,” said Dr. Romero. 
 

Prevention and Recommendations

Exercise and nutrition are two key components in the prevention and management of sarcopenic obesity. Physicians prescribing GLP-1 receptor agonists “must also counsel patients about incorporating aerobic exercise and resistance training as part of the treatment plan, as well as ensuring they eat a high-protein diet,” Yoon Ji Ahn, MD, and Vibha Singhal, MD, MPH, of the Weight Management Center of Massachusetts General Hospital in Boston, wrote in a commentary published by this news organization.

Paraguayan nutritionist Patricia López Soto, a diabetes educator with postgraduate degrees in obesity, diabetes, and bariatric surgery from Favaloro University in Buenos Aires, shared with this news organization the following general recommendations to prevent sarcopenic obesity in patients undergoing weight loss treatment: 

• Follow a healthy and balanced Mediterranean or DASH-style diet.
• Increase protein intake at the three to four main meals to a minimum of 1.4-1.5 g/kg/day.
• Try to make the protein intake mostly of high biological value: Beef, chicken, fish, eggs, seafood, cheese, skim milk, and yogurt.
• Ensure protein intake at each meal of between 25 g and 30 g to increase protein synthesis. For example, a 150 g portion of meat or chicken provides 30 g of protein.
• If the protein intake is not achieved through food, a supplement measure like isolated and hydrolyzed whey protein is a good option.
• Engage in strength or resistance training (weightlifting) three to four times per week and 30 minutes of cardiovascular exercise every day.
• To improve adherence, treatment should be carried out with a multidisciplinary team that includes a physician, nutritionist, and physical trainer, with frequent check-ups and body composition studies by bioimpedance.

Dr. Romero and Ms. López declared no relevant financial relationships. 
 

This story was translated from the Medscape Spanish edition using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

ASUNCIÓN, PARAGUAY — Sarcopenic obesity, which is characterized by excess adiposity and muscle loss, is an “underestimated and underdiagnosed” condition, said the panelists at a session of the XV Latin American Obesity Congress (FLASO 2024) and II Paraguayan Congress of Obesity. The condition often affects older adults but can also occur at any age as a result of unhealthy habits or intensive or repeated weight loss efforts. 

“The drugs currently used for managing obesity promote significant weight loss, but by losing fat, muscle is also lost,” said Fabiola Romero Gómez, MD, a professor of medicine at the National University of Asunción and president of the Paraguayan Society of Endocrinology and Metabolism. “We must handle [these drugs] with extreme care. When we employ a strategy that achieves this significant weight loss, we must ensure that the patient receives a good protein intake and engages in resistance exercises, because otherwise, the cure may be worse than the disease.”

Some patients develop sarcopenic obesity after using glucagon-like peptide-1 (GLP-1) analogs, undergoing bariatric surgery, or pursuing restrictive diets, Dr. Romero said in an interview. The condition is more common when there are long-standing cycles of weight loss and subsequent gain, “which accounts for the majority of our patients,” she said.

“An important, largely ignored aspect of weight loss, whether through pharmacological or lifestyle intervention, is that a portion of the weight loss comprises lean muscle,” according to a recent editorial in Nature Medicine. “Weight regain, however, is almost entirely fat. People with chronic obesity often lose and regain weight in repeated cycles, each of which results in body-composition changes (even if they experience some net weight loss). This cycling puts people unable to sustain weight loss at risk of being metabolically less healthy than they were before the initial weight loss was achieved — in effect, at risk of developing sarcopenic obesity.”
 

A ‘Hidden’ Problem

Sarcopenic obesity is “something hidden, something that we often do not see. Why? Because if we do not make measurements of body composition, we will not realize it,” said Dr. Romero.

According to the 2022 consensus of the European Society for Clinical Nutrition and Metabolism and the European Association for the Study of Obesity, clinical signs or factors suggesting sarcopenic obesity include age over 70 years, diagnosis of a chronic disease, repeated falls or weakness, and nutritional events such as recent weight loss or rapid gain, long-standing restrictive diets, and bariatric surgery. 

The European guidelines also propose screening in individuals at risk to check for an increased body mass index (BMI) or waist circumference and suspicion parameters of sarcopenia. In this group of patients, the diagnosis should be made based on the analysis of alterations in muscle-skeletal functional parameters, such as grip or pinch strength or the 30-second chair stand test, followed by a determination of body mass alteration using dual-energy x-ray absorptiometry or electrical bioimpedance. 

Electrical bioimpedance is Dr. Romero’s preferred method. It is an economical, simple, and easily transportable test that calculates lean muscle mass, fat mass, and body water based on electrical conductivity, she said. Experts have pointed out that bioimpedance scales “will revolutionize the way we measure obesity,” she added. 

In an as-yet-unpublished study that received an honorable mention at the 3rd Paraguayan Congress of Endocrinology, Diabetes, and Metabolism last year, Dr. Romero and colleagues studied 126 patients (median age, 45 years) with obesity defined by percentage of fat mass determined by bioimpedance. When their BMI was analyzed, 11.1% were “normal” weight, and 35.7% were “overweight.” Even waist circumference measurement suggested that about 15% of participants were without obesity. Moreover, almost one in four participants presented with sarcopenia, “implying a decrease in quality of life and physical disability in the future if not investigated, diagnosed, and treated correctly,” said Dr. Romero. 
 

Prevention and Recommendations

Exercise and nutrition are two key components in the prevention and management of sarcopenic obesity. Physicians prescribing GLP-1 receptor agonists “must also counsel patients about incorporating aerobic exercise and resistance training as part of the treatment plan, as well as ensuring they eat a high-protein diet,” Yoon Ji Ahn, MD, and Vibha Singhal, MD, MPH, of the Weight Management Center of Massachusetts General Hospital in Boston, wrote in a commentary published by this news organization.

Paraguayan nutritionist Patricia López Soto, a diabetes educator with postgraduate degrees in obesity, diabetes, and bariatric surgery from Favaloro University in Buenos Aires, shared with this news organization the following general recommendations to prevent sarcopenic obesity in patients undergoing weight loss treatment: 

• Follow a healthy and balanced Mediterranean or DASH-style diet.
• Increase protein intake at the three to four main meals to a minimum of 1.4-1.5 g/kg/day.
• Try to make the protein intake mostly of high biological value: Beef, chicken, fish, eggs, seafood, cheese, skim milk, and yogurt.
• Ensure protein intake at each meal of between 25 g and 30 g to increase protein synthesis. For example, a 150 g portion of meat or chicken provides 30 g of protein.
• If the protein intake is not achieved through food, a supplement measure like isolated and hydrolyzed whey protein is a good option.
• Engage in strength or resistance training (weightlifting) three to four times per week and 30 minutes of cardiovascular exercise every day.
• To improve adherence, treatment should be carried out with a multidisciplinary team that includes a physician, nutritionist, and physical trainer, with frequent check-ups and body composition studies by bioimpedance.

Dr. Romero and Ms. López declared no relevant financial relationships. 
 

This story was translated from the Medscape Spanish edition using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

TOPLINE:

Excessive intrapancreatic fat deposition (IPFD) leading to fatty change of the pancreas (FP) was prevalent in almost 18% of participants in a large population-based cohort, and both IPFD and FP were associated with an increased risk for diabetes, acute pancreatitis, and pancreatic cancer.

METHODOLOGY:

• Excessive IPFD is a common pancreatic disorder in the general population; however, there is a paucity of longitudinal studies investigating the relationship between FP and the risk for exocrine and endocrine pancreatic diseases.
• This prospective cohort study conducted from July 2014 to January 2023 investigated the prevalence of FP and the link between IPFD and pancreatic diseases in 42,599 participants (median age, 65 years; 46.6% men) from the UK Biobank who underwent abdominal Dixon MRI.
• IPFD levels were measured using MRI and a deep learning-based framework called nnUNet.
• The outcomes assessed in this study were diseases of the exocrine pancreas and endocrine pancreas, including acute pancreatitis, pancreatic cancer, diabetes, and other pancreatic conditions.

TAKEAWAY:

• The prevalence of FP was 17.86%.
• Elevation in IPFD levels by one quintile increased the risk for the development of acute pancreatitis by 51.3% (P = .001), pancreatic cancer by 36.5% (P = .017), diabetes by 22.1% (P < .001), and all pancreatic diseases by 22.7% (P < .001).
• FP increased the risk for acute pancreatitis by 298.2% (P < .001), pancreatic cancer by 97.6% (P = .034), diabetes by 33.7% (P = .001), and all pancreatic diseases by 44.1% (P < .001).
• An increasing trend in the prevalence of FP with advancing age was observed in both men and women.

IN PRACTICE:

“FP is a common pancreatic disorder. Fat in the pancreas is an independent risk factor for diseases of both the exocrine pancreas and endocrine pancreas,” the authors wrote.

SOURCE:

This study, led by Xiaowu Dong, MD, of the Pancreatic Center, Department of Gastroenterology, Yangzhou Key Laboratory of Pancreatic Disease, Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China, was published online in The American Journal of Gastroenterology.

LIMITATIONS:

The authors acknowledged that most of the enrolled participants were White and older than 45 years. A low response rate to recruitment invitations in the UK Biobank database may have introduced self-selection bias. The median follow-up duration of 4.61 years was short and may be insufficient to fully capture the impact of IPFD. Additionally, the use of the average fat fraction for the entire pancreas may have led to spatial variations being ignored.

DISCLOSURES:

This work was supported by the National Natural Science Foundation of China, Cultivation Foundation of Yangzhou Municipal Key Laboratory, The Medical Research Project of Jiangsu Provincial Health Commission, Yangzhou key research and development plan, and Suzhou Innovation Platform Construction Projects-Municipal Key Laboratory Construction. The authors declared no conflicts of interest.
 

A version of this article appeared on Medscape.com.

TOPLINE:

Excessive intrapancreatic fat deposition (IPFD) leading to fatty change of the pancreas (FP) was prevalent in almost 18% of participants in a large population-based cohort, and both IPFD and FP were associated with an increased risk for diabetes, acute pancreatitis, and pancreatic cancer.

METHODOLOGY:

• Excessive IPFD is a common pancreatic disorder in the general population; however, there is a paucity of longitudinal studies investigating the relationship between FP and the risk for exocrine and endocrine pancreatic diseases.
• This prospective cohort study conducted from July 2014 to January 2023 investigated the prevalence of FP and the link between IPFD and pancreatic diseases in 42,599 participants (median age, 65 years; 46.6% men) from the UK Biobank who underwent abdominal Dixon MRI.
• IPFD levels were measured using MRI and a deep learning-based framework called nnUNet.
• The outcomes assessed in this study were diseases of the exocrine pancreas and endocrine pancreas, including acute pancreatitis, pancreatic cancer, diabetes, and other pancreatic conditions.

TAKEAWAY:

• The prevalence of FP was 17.86%.
• Elevation in IPFD levels by one quintile increased the risk for the development of acute pancreatitis by 51.3% (P = .001), pancreatic cancer by 36.5% (P = .017), diabetes by 22.1% (P < .001), and all pancreatic diseases by 22.7% (P < .001).
• FP increased the risk for acute pancreatitis by 298.2% (P < .001), pancreatic cancer by 97.6% (P = .034), diabetes by 33.7% (P = .001), and all pancreatic diseases by 44.1% (P < .001).
• An increasing trend in the prevalence of FP with advancing age was observed in both men and women.

IN PRACTICE:

“FP is a common pancreatic disorder. Fat in the pancreas is an independent risk factor for diseases of both the exocrine pancreas and endocrine pancreas,” the authors wrote.

SOURCE:

This study, led by Xiaowu Dong, MD, of the Pancreatic Center, Department of Gastroenterology, Yangzhou Key Laboratory of Pancreatic Disease, Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China, was published online in The American Journal of Gastroenterology.

LIMITATIONS:

The authors acknowledged that most of the enrolled participants were White and older than 45 years. A low response rate to recruitment invitations in the UK Biobank database may have introduced self-selection bias. The median follow-up duration of 4.61 years was short and may be insufficient to fully capture the impact of IPFD. Additionally, the use of the average fat fraction for the entire pancreas may have led to spatial variations being ignored.

DISCLOSURES:

This work was supported by the National Natural Science Foundation of China, Cultivation Foundation of Yangzhou Municipal Key Laboratory, The Medical Research Project of Jiangsu Provincial Health Commission, Yangzhou key research and development plan, and Suzhou Innovation Platform Construction Projects-Municipal Key Laboratory Construction. The authors declared no conflicts of interest.
 

A version of this article appeared on Medscape.com.

TOPLINE:

Excessive intrapancreatic fat deposition (IPFD) leading to fatty change of the pancreas (FP) was prevalent in almost 18% of participants in a large population-based cohort, and both IPFD and FP were associated with an increased risk for diabetes, acute pancreatitis, and pancreatic cancer.

METHODOLOGY:

• Excessive IPFD is a common pancreatic disorder in the general population; however, there is a paucity of longitudinal studies investigating the relationship between FP and the risk for exocrine and endocrine pancreatic diseases.
• This prospective cohort study conducted from July 2014 to January 2023 investigated the prevalence of FP and the link between IPFD and pancreatic diseases in 42,599 participants (median age, 65 years; 46.6% men) from the UK Biobank who underwent abdominal Dixon MRI.
• IPFD levels were measured using MRI and a deep learning-based framework called nnUNet.
• The outcomes assessed in this study were diseases of the exocrine pancreas and endocrine pancreas, including acute pancreatitis, pancreatic cancer, diabetes, and other pancreatic conditions.

TAKEAWAY:

• The prevalence of FP was 17.86%.
• Elevation in IPFD levels by one quintile increased the risk for the development of acute pancreatitis by 51.3% (P = .001), pancreatic cancer by 36.5% (P = .017), diabetes by 22.1% (P < .001), and all pancreatic diseases by 22.7% (P < .001).
• FP increased the risk for acute pancreatitis by 298.2% (P < .001), pancreatic cancer by 97.6% (P = .034), diabetes by 33.7% (P = .001), and all pancreatic diseases by 44.1% (P < .001).
• An increasing trend in the prevalence of FP with advancing age was observed in both men and women.

IN PRACTICE:

“FP is a common pancreatic disorder. Fat in the pancreas is an independent risk factor for diseases of both the exocrine pancreas and endocrine pancreas,” the authors wrote.

SOURCE:

This study, led by Xiaowu Dong, MD, of the Pancreatic Center, Department of Gastroenterology, Yangzhou Key Laboratory of Pancreatic Disease, Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China, was published online in The American Journal of Gastroenterology.

LIMITATIONS:

The authors acknowledged that most of the enrolled participants were White and older than 45 years. A low response rate to recruitment invitations in the UK Biobank database may have introduced self-selection bias. The median follow-up duration of 4.61 years was short and may be insufficient to fully capture the impact of IPFD. Additionally, the use of the average fat fraction for the entire pancreas may have led to spatial variations being ignored.

DISCLOSURES:

This work was supported by the National Natural Science Foundation of China, Cultivation Foundation of Yangzhou Municipal Key Laboratory, The Medical Research Project of Jiangsu Provincial Health Commission, Yangzhou key research and development plan, and Suzhou Innovation Platform Construction Projects-Municipal Key Laboratory Construction. The authors declared no conflicts of interest.
 

A version of this article appeared on Medscape.com.

Children with growth hormone deficiency (GHD) have differences in gut microbiota and microbial metabolites from both individuals with idiopathic short stature (ISS) and healthy controls, suggesting an interaction with growth hormone levels, said Chinese researchers.

The research, published recently in Pediatric Research, involved more than 80 children and showed that those with GHD had alterations in microbial populations that have been linked to longevity, as well as a microbial and metabolite signature that allowed accurate discrimination from ISS.

“These findings provide novel insights into potential early diagnosis and innovative treatment alternatives, such as fecal microbiota transplantation, for short stature with varying growth hormone levels,” the authors wrote.

Andrew Dauber, MD, MMSc, chief of endocrinology, Children’s National Hospital, Washington, who was not involved in the study, said that while this is “a really interesting area of research,” he expressed “hesitancy about getting too excited about this data yet.”

“One of the problems is how you define growth hormone deficiency,” as it is “not a black and white diagnosis,” and the etiology and child’s growth trajectory also need to be considered, Dr. Dauber told said.

He explained: “The problem is that, when you rely on the growth hormone stimulation test alone, there’s so many false positives and so much overlap between patients with true growth hormone deficiency and those without. And I think that this article fell prey to that.”

He added: “It would be really, really interesting and helpful to have a microbiome signature that allows you to distinguish between true growth hormone deficiency and patients with idiopathic short stature.”

“But you have to make sure that your groups are very well defined for this study to be really valid. And that’s one of my concerns here.”

Dr. Dauber continued: “Now, that being said, they did find some associations that correlated with growth hormone peak levels,” some which replicate previous findings, “so I do think that there are kernels of important findings here.”
 

‘Tease Out Influences’ to Isolate the Interaction

He pointed out that there are “many factors that influence the microbiome,” such as the use of antibiotics, diet, age, and geographic location. Therefore, a study that could truly tease out all these influences and isolate the interaction with growth hormone levels would need to be “very thoughtfully designed.”

A number of factors contribute to short stature, lead author Lan Li, MD, Department of Radiology, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou, China, and colleagues.

These include genetic factors, environmental factors, and conditions such as being small for gestational age at birth, familial short stature, and chronic systemic diseases, as well as GHD and ISS.

Recent animal studies have suggested that there may be a bidirectional relationship between the gut microbiota and the growth hormone/insulin-like growth factor 1 axis, and it has been shown that individuals with GHD have significant alterations in their gut microbiota compared with healthy controls.

To investigate, they studied 36 children diagnosed with GHD, 32 with ISS, and 16 age- and sex-matched healthy controls, all of whom were recruited between February 2019 and June 2021 from the Pediatric Endocrinology Department of The Second Affiliated Hospital of Wenzhou Medical University.

Fecal samples obtained from the children underwent microbiome analysis using 16S ribosomal RNA gene sequencing, alongside nuclear MRI analysis of the metabolome, or the entire complement of small molecules in the samples.

Patients with GHD had a significantly higher body mass index than those with ISS (P < .05), and their peak growth hormone level was significantly lower (P < .001). Patients with GHD also had significantly higher total cholesterol and low-density lipoprotein cholesterol levels than patients with ISS (P < .05).

The team reports that the alpha diversity of the fecal microbiome, which measures the microbial diversity within a fecal sample, was similar between the three groups.

However, there was significant variation between the groups in the beta diversity, which quantifies the similarity or dissimilarity between two samples, and allows the overall taxonomic or functional diversity pattern to be linked to environmental features.

Compared with the healthy control group, the abundance of Pelomonas, Rodentibacter, and Rothia was significantly decreased in GHD and patients with ISS, while the abundance of Prevotellaceae_NK3B31_group was increased in the two patient groups, particularly in those with GHD.

In addition, the researchers found a decreased Firmicutes/Bacteroidota (F/B) ratio in participants with short stature, particularly in the GHD group. They noted that “emerging evidence suggests the F/B ratio may play a role in longevity.”

Nocardioides was substantially more common in the ISS group vs both patients with GHD and healthy controls, while Fusobacterium mortiferum was characteristic of GHD. The team suggests this “may serve as a critical intestinal factor contributing to the short stature observed in GHD.”

The metabolome analysis revealed that glucose, pyruvate, and pyrimidine metabolism may also play a significant role in distinguishing between patients with GHD and ISS and healthy control groups.

Finally, the team demonstrated that a panel combining 13 microbiome and metabolome markers was able to discriminate between GHD and ISS at an area under the receiver operating characteristic curve of 0.945, with a sensitivity of 87% and a specificity of 91%.

The study was supported by grants from the National Natural Science Foundation of China and Wenzhou Science and Technology Bureau in China. No relevant financial relationships were declared.
 

A version of this article appeared on Medscape.com.

Children with growth hormone deficiency (GHD) have differences in gut microbiota and microbial metabolites from both individuals with idiopathic short stature (ISS) and healthy controls, suggesting an interaction with growth hormone levels, said Chinese researchers.

The research, published recently in Pediatric Research, involved more than 80 children and showed that those with GHD had alterations in microbial populations that have been linked to longevity, as well as a microbial and metabolite signature that allowed accurate discrimination from ISS.

“These findings provide novel insights into potential early diagnosis and innovative treatment alternatives, such as fecal microbiota transplantation, for short stature with varying growth hormone levels,” the authors wrote.

Andrew Dauber, MD, MMSc, chief of endocrinology, Children’s National Hospital, Washington, who was not involved in the study, said that while this is “a really interesting area of research,” he expressed “hesitancy about getting too excited about this data yet.”

“One of the problems is how you define growth hormone deficiency,” as it is “not a black and white diagnosis,” and the etiology and child’s growth trajectory also need to be considered, Dr. Dauber told said.

He explained: “The problem is that, when you rely on the growth hormone stimulation test alone, there’s so many false positives and so much overlap between patients with true growth hormone deficiency and those without. And I think that this article fell prey to that.”

He added: “It would be really, really interesting and helpful to have a microbiome signature that allows you to distinguish between true growth hormone deficiency and patients with idiopathic short stature.”

“But you have to make sure that your groups are very well defined for this study to be really valid. And that’s one of my concerns here.”

Dr. Dauber continued: “Now, that being said, they did find some associations that correlated with growth hormone peak levels,” some which replicate previous findings, “so I do think that there are kernels of important findings here.”
 

‘Tease Out Influences’ to Isolate the Interaction

He pointed out that there are “many factors that influence the microbiome,” such as the use of antibiotics, diet, age, and geographic location. Therefore, a study that could truly tease out all these influences and isolate the interaction with growth hormone levels would need to be “very thoughtfully designed.”

A number of factors contribute to short stature, lead author Lan Li, MD, Department of Radiology, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou, China, and colleagues.

These include genetic factors, environmental factors, and conditions such as being small for gestational age at birth, familial short stature, and chronic systemic diseases, as well as GHD and ISS.

Recent animal studies have suggested that there may be a bidirectional relationship between the gut microbiota and the growth hormone/insulin-like growth factor 1 axis, and it has been shown that individuals with GHD have significant alterations in their gut microbiota compared with healthy controls.

To investigate, they studied 36 children diagnosed with GHD, 32 with ISS, and 16 age- and sex-matched healthy controls, all of whom were recruited between February 2019 and June 2021 from the Pediatric Endocrinology Department of The Second Affiliated Hospital of Wenzhou Medical University.

Fecal samples obtained from the children underwent microbiome analysis using 16S ribosomal RNA gene sequencing, alongside nuclear MRI analysis of the metabolome, or the entire complement of small molecules in the samples.

Patients with GHD had a significantly higher body mass index than those with ISS (P < .05), and their peak growth hormone level was significantly lower (P < .001). Patients with GHD also had significantly higher total cholesterol and low-density lipoprotein cholesterol levels than patients with ISS (P < .05).

The team reports that the alpha diversity of the fecal microbiome, which measures the microbial diversity within a fecal sample, was similar between the three groups.

However, there was significant variation between the groups in the beta diversity, which quantifies the similarity or dissimilarity between two samples, and allows the overall taxonomic or functional diversity pattern to be linked to environmental features.

Compared with the healthy control group, the abundance of Pelomonas, Rodentibacter, and Rothia was significantly decreased in GHD and patients with ISS, while the abundance of Prevotellaceae_NK3B31_group was increased in the two patient groups, particularly in those with GHD.

In addition, the researchers found a decreased Firmicutes/Bacteroidota (F/B) ratio in participants with short stature, particularly in the GHD group. They noted that “emerging evidence suggests the F/B ratio may play a role in longevity.”

Nocardioides was substantially more common in the ISS group vs both patients with GHD and healthy controls, while Fusobacterium mortiferum was characteristic of GHD. The team suggests this “may serve as a critical intestinal factor contributing to the short stature observed in GHD.”

The metabolome analysis revealed that glucose, pyruvate, and pyrimidine metabolism may also play a significant role in distinguishing between patients with GHD and ISS and healthy control groups.

Finally, the team demonstrated that a panel combining 13 microbiome and metabolome markers was able to discriminate between GHD and ISS at an area under the receiver operating characteristic curve of 0.945, with a sensitivity of 87% and a specificity of 91%.

The study was supported by grants from the National Natural Science Foundation of China and Wenzhou Science and Technology Bureau in China. No relevant financial relationships were declared.
 

A version of this article appeared on Medscape.com.

Children with growth hormone deficiency (GHD) have differences in gut microbiota and microbial metabolites from both individuals with idiopathic short stature (ISS) and healthy controls, suggesting an interaction with growth hormone levels, said Chinese researchers.

The research, published recently in Pediatric Research, involved more than 80 children and showed that those with GHD had alterations in microbial populations that have been linked to longevity, as well as a microbial and metabolite signature that allowed accurate discrimination from ISS.

“These findings provide novel insights into potential early diagnosis and innovative treatment alternatives, such as fecal microbiota transplantation, for short stature with varying growth hormone levels,” the authors wrote.

Andrew Dauber, MD, MMSc, chief of endocrinology, Children’s National Hospital, Washington, who was not involved in the study, said that while this is “a really interesting area of research,” he expressed “hesitancy about getting too excited about this data yet.”

“One of the problems is how you define growth hormone deficiency,” as it is “not a black and white diagnosis,” and the etiology and child’s growth trajectory also need to be considered, Dr. Dauber told said.

He explained: “The problem is that, when you rely on the growth hormone stimulation test alone, there’s so many false positives and so much overlap between patients with true growth hormone deficiency and those without. And I think that this article fell prey to that.”

He added: “It would be really, really interesting and helpful to have a microbiome signature that allows you to distinguish between true growth hormone deficiency and patients with idiopathic short stature.”

“But you have to make sure that your groups are very well defined for this study to be really valid. And that’s one of my concerns here.”

Dr. Dauber continued: “Now, that being said, they did find some associations that correlated with growth hormone peak levels,” some which replicate previous findings, “so I do think that there are kernels of important findings here.”
 

‘Tease Out Influences’ to Isolate the Interaction

He pointed out that there are “many factors that influence the microbiome,” such as the use of antibiotics, diet, age, and geographic location. Therefore, a study that could truly tease out all these influences and isolate the interaction with growth hormone levels would need to be “very thoughtfully designed.”

A number of factors contribute to short stature, lead author Lan Li, MD, Department of Radiology, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou, China, and colleagues.

These include genetic factors, environmental factors, and conditions such as being small for gestational age at birth, familial short stature, and chronic systemic diseases, as well as GHD and ISS.

Recent animal studies have suggested that there may be a bidirectional relationship between the gut microbiota and the growth hormone/insulin-like growth factor 1 axis, and it has been shown that individuals with GHD have significant alterations in their gut microbiota compared with healthy controls.

To investigate, they studied 36 children diagnosed with GHD, 32 with ISS, and 16 age- and sex-matched healthy controls, all of whom were recruited between February 2019 and June 2021 from the Pediatric Endocrinology Department of The Second Affiliated Hospital of Wenzhou Medical University.

Fecal samples obtained from the children underwent microbiome analysis using 16S ribosomal RNA gene sequencing, alongside nuclear MRI analysis of the metabolome, or the entire complement of small molecules in the samples.

Patients with GHD had a significantly higher body mass index than those with ISS (P < .05), and their peak growth hormone level was significantly lower (P < .001). Patients with GHD also had significantly higher total cholesterol and low-density lipoprotein cholesterol levels than patients with ISS (P < .05).

The team reports that the alpha diversity of the fecal microbiome, which measures the microbial diversity within a fecal sample, was similar between the three groups.

However, there was significant variation between the groups in the beta diversity, which quantifies the similarity or dissimilarity between two samples, and allows the overall taxonomic or functional diversity pattern to be linked to environmental features.

Compared with the healthy control group, the abundance of Pelomonas, Rodentibacter, and Rothia was significantly decreased in GHD and patients with ISS, while the abundance of Prevotellaceae_NK3B31_group was increased in the two patient groups, particularly in those with GHD.

In addition, the researchers found a decreased Firmicutes/Bacteroidota (F/B) ratio in participants with short stature, particularly in the GHD group. They noted that “emerging evidence suggests the F/B ratio may play a role in longevity.”

Nocardioides was substantially more common in the ISS group vs both patients with GHD and healthy controls, while Fusobacterium mortiferum was characteristic of GHD. The team suggests this “may serve as a critical intestinal factor contributing to the short stature observed in GHD.”

The metabolome analysis revealed that glucose, pyruvate, and pyrimidine metabolism may also play a significant role in distinguishing between patients with GHD and ISS and healthy control groups.

Finally, the team demonstrated that a panel combining 13 microbiome and metabolome markers was able to discriminate between GHD and ISS at an area under the receiver operating characteristic curve of 0.945, with a sensitivity of 87% and a specificity of 91%.

The study was supported by grants from the National Natural Science Foundation of China and Wenzhou Science and Technology Bureau in China. No relevant financial relationships were declared.
 

A version of this article appeared on Medscape.com.

With all the excitement about GLP-1 agonists, I get many questions from providers about which antiobesity drug they should prescribe. I’ll tell you the methods that I use to determine which drug is best for which patient.

Of course, we want to make sure that we’re treating the right condition. If the patient has type 2 diabetes, we tend to give them medication that is indicated for type 2 diabetes. Many GLP-1 agonists are available in a diabetes version and a chronic weight management or obesity version. If a patient has diabetes and obesity, they can receive either one. If a patient has only diabetes but not obesity, they should be prescribed the diabetes version. For obesity without diabetes, we tend to stick with the drugs that are indicated for chronic weight management.

Let’s go through them.

Exenatide. In chronological order of approval, the first GLP-1 drug that was used for diabetes dates back to exenatide (Bydureon). Bydureon had a partner called Byetta (also exenatide), both of which are still on the market but infrequently used. Some patients reported that these medications were inconvenient because they required twice-daily injections and caused painful injection-site nodules.

Diabetes drugs in more common use include liraglutide (Victoza) for type 2 diabetes. It is a daily injection and has various doses. We always start low and increase with tolerance and desired effect for A1c.

Liraglutide. Victoza has an antiobesity counterpart called Saxenda. The Saxenda pen looks very similar to the Victoza pen. It is a daily GLP-1 agonist for chronic weight management. The SCALE trial demonstrated 8%-12% weight loss with Saxenda.

Those are the daily injections: Victoza for diabetes and Saxenda for weight loss.

Our patients are very excited about the advent of weekly injections for diabetes and weight management. Ozempic is very popular. It is a weekly GLP-1 agonist for type 2 diabetes. Many patients come in asking for Ozempic, and we must make sure that we’re moving them in the right direction depending on their condition.

Semaglutide. Ozempic has a few different doses. It is a weekly injection and has been found to be quite efficacious for treating diabetes. The drug’s weight loss counterpart is called Wegovy, which comes in a different pen. Both forms contain the compound semaglutide. While all of these GLP-1 agonists are indicated to treat type 2 diabetes or for weight management, Wegovy has a special indication that none of the others have. In March 2024, Wegovy acquired an indication to decrease cardiac risk in those with a BMI ≥ 27 and a previous cardiac history. This will really change the accessibility of this medication because patients with heart conditions who are on Medicare are expected to have access to Wegovy.

Tirzepatide. Another weekly injection for treatment of type 2 diabetes is called Mounjaro. Its counterpart for weight management is called Zepbound, which was found to have about 20.9% weight loss over 72 weeks. These medications have similar side effects in differing degrees, but the most-often reported are nausea, stool changes, abdominal pain, and reflux. There are some other potential side effects; I recommend that you read the individual prescribing information available for each drug to have more clarity about that.

It is important that we stay on label for using the GLP-1 receptor agonists, for many reasons. One, it increases our patients’ accessibility to the right medication for them, and we can also make sure that we’re treating the patient with the right drug according to the clinical trials. When the clinical trials are done, the study populations demonstrate safety and efficacy for that population. But if we’re prescribing a GLP-1 for a different population, it is considered off-label use.
 

Dr. Lofton, an obesity medicine specialist, is clinical associate professor of surgery and medicine at NYU Grossman School of Medicine, and director of the medical weight management program at NYU Langone Weight Management Center, New York. She disclosed ties to Novo Nordisk and Eli Lilly. This transcript has been edited for clarity.

A version of this article appeared on Medscape.com.

With all the excitement about GLP-1 agonists, I get many questions from providers about which antiobesity drug they should prescribe. I’ll tell you the methods that I use to determine which drug is best for which patient.

Of course, we want to make sure that we’re treating the right condition. If the patient has type 2 diabetes, we tend to give them medication that is indicated for type 2 diabetes. Many GLP-1 agonists are available in a diabetes version and a chronic weight management or obesity version. If a patient has diabetes and obesity, they can receive either one. If a patient has only diabetes but not obesity, they should be prescribed the diabetes version. For obesity without diabetes, we tend to stick with the drugs that are indicated for chronic weight management.

Let’s go through them.

Exenatide. In chronological order of approval, the first GLP-1 drug that was used for diabetes dates back to exenatide (Bydureon). Bydureon had a partner called Byetta (also exenatide), both of which are still on the market but infrequently used. Some patients reported that these medications were inconvenient because they required twice-daily injections and caused painful injection-site nodules.

Diabetes drugs in more common use include liraglutide (Victoza) for type 2 diabetes. It is a daily injection and has various doses. We always start low and increase with tolerance and desired effect for A1c.

Liraglutide. Victoza has an antiobesity counterpart called Saxenda. The Saxenda pen looks very similar to the Victoza pen. It is a daily GLP-1 agonist for chronic weight management. The SCALE trial demonstrated 8%-12% weight loss with Saxenda.

Those are the daily injections: Victoza for diabetes and Saxenda for weight loss.

Our patients are very excited about the advent of weekly injections for diabetes and weight management. Ozempic is very popular. It is a weekly GLP-1 agonist for type 2 diabetes. Many patients come in asking for Ozempic, and we must make sure that we’re moving them in the right direction depending on their condition.

Semaglutide. Ozempic has a few different doses. It is a weekly injection and has been found to be quite efficacious for treating diabetes. The drug’s weight loss counterpart is called Wegovy, which comes in a different pen. Both forms contain the compound semaglutide. While all of these GLP-1 agonists are indicated to treat type 2 diabetes or for weight management, Wegovy has a special indication that none of the others have. In March 2024, Wegovy acquired an indication to decrease cardiac risk in those with a BMI ≥ 27 and a previous cardiac history. This will really change the accessibility of this medication because patients with heart conditions who are on Medicare are expected to have access to Wegovy.

Tirzepatide. Another weekly injection for treatment of type 2 diabetes is called Mounjaro. Its counterpart for weight management is called Zepbound, which was found to have about 20.9% weight loss over 72 weeks. These medications have similar side effects in differing degrees, but the most-often reported are nausea, stool changes, abdominal pain, and reflux. There are some other potential side effects; I recommend that you read the individual prescribing information available for each drug to have more clarity about that.

It is important that we stay on label for using the GLP-1 receptor agonists, for many reasons. One, it increases our patients’ accessibility to the right medication for them, and we can also make sure that we’re treating the patient with the right drug according to the clinical trials. When the clinical trials are done, the study populations demonstrate safety and efficacy for that population. But if we’re prescribing a GLP-1 for a different population, it is considered off-label use.
 

Dr. Lofton, an obesity medicine specialist, is clinical associate professor of surgery and medicine at NYU Grossman School of Medicine, and director of the medical weight management program at NYU Langone Weight Management Center, New York. She disclosed ties to Novo Nordisk and Eli Lilly. This transcript has been edited for clarity.

A version of this article appeared on Medscape.com.

With all the excitement about GLP-1 agonists, I get many questions from providers about which antiobesity drug they should prescribe. I’ll tell you the methods that I use to determine which drug is best for which patient.

Of course, we want to make sure that we’re treating the right condition. If the patient has type 2 diabetes, we tend to give them medication that is indicated for type 2 diabetes. Many GLP-1 agonists are available in a diabetes version and a chronic weight management or obesity version. If a patient has diabetes and obesity, they can receive either one. If a patient has only diabetes but not obesity, they should be prescribed the diabetes version. For obesity without diabetes, we tend to stick with the drugs that are indicated for chronic weight management.

Let’s go through them.

Exenatide. In chronological order of approval, the first GLP-1 drug that was used for diabetes dates back to exenatide (Bydureon). Bydureon had a partner called Byetta (also exenatide), both of which are still on the market but infrequently used. Some patients reported that these medications were inconvenient because they required twice-daily injections and caused painful injection-site nodules.

Diabetes drugs in more common use include liraglutide (Victoza) for type 2 diabetes. It is a daily injection and has various doses. We always start low and increase with tolerance and desired effect for A1c.

Liraglutide. Victoza has an antiobesity counterpart called Saxenda. The Saxenda pen looks very similar to the Victoza pen. It is a daily GLP-1 agonist for chronic weight management. The SCALE trial demonstrated 8%-12% weight loss with Saxenda.

Those are the daily injections: Victoza for diabetes and Saxenda for weight loss.

Our patients are very excited about the advent of weekly injections for diabetes and weight management. Ozempic is very popular. It is a weekly GLP-1 agonist for type 2 diabetes. Many patients come in asking for Ozempic, and we must make sure that we’re moving them in the right direction depending on their condition.

Semaglutide. Ozempic has a few different doses. It is a weekly injection and has been found to be quite efficacious for treating diabetes. The drug’s weight loss counterpart is called Wegovy, which comes in a different pen. Both forms contain the compound semaglutide. While all of these GLP-1 agonists are indicated to treat type 2 diabetes or for weight management, Wegovy has a special indication that none of the others have. In March 2024, Wegovy acquired an indication to decrease cardiac risk in those with a BMI ≥ 27 and a previous cardiac history. This will really change the accessibility of this medication because patients with heart conditions who are on Medicare are expected to have access to Wegovy.

Tirzepatide. Another weekly injection for treatment of type 2 diabetes is called Mounjaro. Its counterpart for weight management is called Zepbound, which was found to have about 20.9% weight loss over 72 weeks. These medications have similar side effects in differing degrees, but the most-often reported are nausea, stool changes, abdominal pain, and reflux. There are some other potential side effects; I recommend that you read the individual prescribing information available for each drug to have more clarity about that.

It is important that we stay on label for using the GLP-1 receptor agonists, for many reasons. One, it increases our patients’ accessibility to the right medication for them, and we can also make sure that we’re treating the patient with the right drug according to the clinical trials. When the clinical trials are done, the study populations demonstrate safety and efficacy for that population. But if we’re prescribing a GLP-1 for a different population, it is considered off-label use.
 

Dr. Lofton, an obesity medicine specialist, is clinical associate professor of surgery and medicine at NYU Grossman School of Medicine, and director of the medical weight management program at NYU Langone Weight Management Center, New York. She disclosed ties to Novo Nordisk and Eli Lilly. This transcript has been edited for clarity.

A version of this article appeared on Medscape.com.