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Such tests are likely to be widely available in the near future.
But work remains to be done to translate findings from academic studies to the more general population. A key consideration is that plasma levels of these biomarkers could be affected by other conditions, which could in turn skew test results, according to Michelle Mielke, PhD, who spoke on the topic at the 2021 Alzheimer’s Association International Conference.
“The markers, which we’ve published on as well, look really promising. But they have primarily been looked at in more specialty clinics or memory clinics, and have not been examined in the general community. The goal of this presentation was really just to take a look at this in the community, in older individuals that have multiple comorbidities, and to understand what factors might affect the levels of these markers. Because as we do go forward and develop cut points, we are going to have to consider these aspects,” said Dr. Mielke in an interview. She is a professor of epidemiology and neurology at the Mayo Clinic in Rochester, Minn.
Case in point
To illustrate the point, Dr. Mielke presented data from her group, which analyzed P-tau 181 and P-tau 217 data from 1,329 Mayo clinic patients. Of that total, 1,161 were cognitively unimpaired (CU), 153 had mild cognitive impairment (MCI), and 15 had dementia. The median age was 67, 55% were male, and 26% had the APOE e4 allele.
After adjustment for age and sex, there were statistically significantly elevated levels of both biomarkers among patients who had tested positive for amyloid and patients who had had a stroke or myocardial infarction, and in the presence of chronic kidney disease (CKD). There also was a trend towards an increase of biomarker levels with increasing body mass index. The differences remained even after the analysis was restricted to individuals who were amyloid negative.
The researchers then looked more closely at the impact of CKD, stroke, and MI on P-tau cut points and the ability to predict abnormal amyloid positron emission tomography (PET) scans. They defined an abnormal range as 1.96 standard deviation units beyond the mean among amyloid-negative individuals who are cognitively impaired. They excluded subjects with those risk factors and then established new cut points in the absence of the factors. The approach led to a significant change for the cutoff of P-tau 181 values, from 1.57 pg/mL or greater for individuals without stroke, MI, or CKD, and 1.75 pg/mL or greater for individuals with one such factor. There was little difference in the cutoff value for P-tau 217, from 0.25 pg/mL to 0.26 pg/mL.
Among people without a history of stroke, MI, or CKD, a P-tau 181 cutoff of 1.57 pg/mL or greater had an area under the receiving operating characteristic (AUROC) value of 0.717 (95% confidence interval, 0.691-0.744), compared with an AUROC of 0.687 (95% CI, 0.662-0.712) at a cutoff of 1.75 pg/mL or greater among people with those conditions. For P-tau 217, the values were 0.737 pg/mL (95% CI, 0.712-0.762) and 0.724 pg/mL (95% CI, 0.699-0.748), respectively.
“The sensitivity was better when they excluded those individuals with these conditions. Specificity was slightly, but not significantly, lower,” said Dr. Mielke during her talk.
Other considerations
Dr. Mielke added that it will be important to account for these and other factors when applying biomarkers in community settings, but they should also be considered in the context of health care disparities. Stroke, MI, and CKD are more common in African Americans, for example, suggesting that there could be racial differences in biomarker levels, though she said the difference in biomarker levels would be more likely attributable to the underlying comorbidities than race per se. “As shown, these factors can affect the consideration of an accuracy of cut points for clinical use. So I think future discussions will be needed as to how best to determine the cut points, and how to base them off of (different) populations,” said Dr. Mielke.
These sorts of refinements are important, according to Christopher Weber, PhD, who was asked for comment. “We have learned the importance of an early and accurate diagnosis. The blood test is a biomarker that does detect the hallmarks of Alzheimer’s disease sometimes up to decades before symptoms even appear,” said Dr. Weber, who is director of Global Science Initiatives at the Alzheimer’s Association.
But “there’s a lot more that we need to learn regarding when exactly to use them, who they’re appropriate for. And I think validation is the key to these blood biomarkers,” Dr. Weber added.
Dr. Mielke has been a consultant with the Brain Protection Company and Biogen. Dr. Weber has no relevant financial disclosures.
Such tests are likely to be widely available in the near future.
But work remains to be done to translate findings from academic studies to the more general population. A key consideration is that plasma levels of these biomarkers could be affected by other conditions, which could in turn skew test results, according to Michelle Mielke, PhD, who spoke on the topic at the 2021 Alzheimer’s Association International Conference.
“The markers, which we’ve published on as well, look really promising. But they have primarily been looked at in more specialty clinics or memory clinics, and have not been examined in the general community. The goal of this presentation was really just to take a look at this in the community, in older individuals that have multiple comorbidities, and to understand what factors might affect the levels of these markers. Because as we do go forward and develop cut points, we are going to have to consider these aspects,” said Dr. Mielke in an interview. She is a professor of epidemiology and neurology at the Mayo Clinic in Rochester, Minn.
Case in point
To illustrate the point, Dr. Mielke presented data from her group, which analyzed P-tau 181 and P-tau 217 data from 1,329 Mayo clinic patients. Of that total, 1,161 were cognitively unimpaired (CU), 153 had mild cognitive impairment (MCI), and 15 had dementia. The median age was 67, 55% were male, and 26% had the APOE e4 allele.
After adjustment for age and sex, there were statistically significantly elevated levels of both biomarkers among patients who had tested positive for amyloid and patients who had had a stroke or myocardial infarction, and in the presence of chronic kidney disease (CKD). There also was a trend towards an increase of biomarker levels with increasing body mass index. The differences remained even after the analysis was restricted to individuals who were amyloid negative.
The researchers then looked more closely at the impact of CKD, stroke, and MI on P-tau cut points and the ability to predict abnormal amyloid positron emission tomography (PET) scans. They defined an abnormal range as 1.96 standard deviation units beyond the mean among amyloid-negative individuals who are cognitively impaired. They excluded subjects with those risk factors and then established new cut points in the absence of the factors. The approach led to a significant change for the cutoff of P-tau 181 values, from 1.57 pg/mL or greater for individuals without stroke, MI, or CKD, and 1.75 pg/mL or greater for individuals with one such factor. There was little difference in the cutoff value for P-tau 217, from 0.25 pg/mL to 0.26 pg/mL.
Among people without a history of stroke, MI, or CKD, a P-tau 181 cutoff of 1.57 pg/mL or greater had an area under the receiving operating characteristic (AUROC) value of 0.717 (95% confidence interval, 0.691-0.744), compared with an AUROC of 0.687 (95% CI, 0.662-0.712) at a cutoff of 1.75 pg/mL or greater among people with those conditions. For P-tau 217, the values were 0.737 pg/mL (95% CI, 0.712-0.762) and 0.724 pg/mL (95% CI, 0.699-0.748), respectively.
“The sensitivity was better when they excluded those individuals with these conditions. Specificity was slightly, but not significantly, lower,” said Dr. Mielke during her talk.
Other considerations
Dr. Mielke added that it will be important to account for these and other factors when applying biomarkers in community settings, but they should also be considered in the context of health care disparities. Stroke, MI, and CKD are more common in African Americans, for example, suggesting that there could be racial differences in biomarker levels, though she said the difference in biomarker levels would be more likely attributable to the underlying comorbidities than race per se. “As shown, these factors can affect the consideration of an accuracy of cut points for clinical use. So I think future discussions will be needed as to how best to determine the cut points, and how to base them off of (different) populations,” said Dr. Mielke.
These sorts of refinements are important, according to Christopher Weber, PhD, who was asked for comment. “We have learned the importance of an early and accurate diagnosis. The blood test is a biomarker that does detect the hallmarks of Alzheimer’s disease sometimes up to decades before symptoms even appear,” said Dr. Weber, who is director of Global Science Initiatives at the Alzheimer’s Association.
But “there’s a lot more that we need to learn regarding when exactly to use them, who they’re appropriate for. And I think validation is the key to these blood biomarkers,” Dr. Weber added.
Dr. Mielke has been a consultant with the Brain Protection Company and Biogen. Dr. Weber has no relevant financial disclosures.
Such tests are likely to be widely available in the near future.
But work remains to be done to translate findings from academic studies to the more general population. A key consideration is that plasma levels of these biomarkers could be affected by other conditions, which could in turn skew test results, according to Michelle Mielke, PhD, who spoke on the topic at the 2021 Alzheimer’s Association International Conference.
“The markers, which we’ve published on as well, look really promising. But they have primarily been looked at in more specialty clinics or memory clinics, and have not been examined in the general community. The goal of this presentation was really just to take a look at this in the community, in older individuals that have multiple comorbidities, and to understand what factors might affect the levels of these markers. Because as we do go forward and develop cut points, we are going to have to consider these aspects,” said Dr. Mielke in an interview. She is a professor of epidemiology and neurology at the Mayo Clinic in Rochester, Minn.
Case in point
To illustrate the point, Dr. Mielke presented data from her group, which analyzed P-tau 181 and P-tau 217 data from 1,329 Mayo clinic patients. Of that total, 1,161 were cognitively unimpaired (CU), 153 had mild cognitive impairment (MCI), and 15 had dementia. The median age was 67, 55% were male, and 26% had the APOE e4 allele.
After adjustment for age and sex, there were statistically significantly elevated levels of both biomarkers among patients who had tested positive for amyloid and patients who had had a stroke or myocardial infarction, and in the presence of chronic kidney disease (CKD). There also was a trend towards an increase of biomarker levels with increasing body mass index. The differences remained even after the analysis was restricted to individuals who were amyloid negative.
The researchers then looked more closely at the impact of CKD, stroke, and MI on P-tau cut points and the ability to predict abnormal amyloid positron emission tomography (PET) scans. They defined an abnormal range as 1.96 standard deviation units beyond the mean among amyloid-negative individuals who are cognitively impaired. They excluded subjects with those risk factors and then established new cut points in the absence of the factors. The approach led to a significant change for the cutoff of P-tau 181 values, from 1.57 pg/mL or greater for individuals without stroke, MI, or CKD, and 1.75 pg/mL or greater for individuals with one such factor. There was little difference in the cutoff value for P-tau 217, from 0.25 pg/mL to 0.26 pg/mL.
Among people without a history of stroke, MI, or CKD, a P-tau 181 cutoff of 1.57 pg/mL or greater had an area under the receiving operating characteristic (AUROC) value of 0.717 (95% confidence interval, 0.691-0.744), compared with an AUROC of 0.687 (95% CI, 0.662-0.712) at a cutoff of 1.75 pg/mL or greater among people with those conditions. For P-tau 217, the values were 0.737 pg/mL (95% CI, 0.712-0.762) and 0.724 pg/mL (95% CI, 0.699-0.748), respectively.
“The sensitivity was better when they excluded those individuals with these conditions. Specificity was slightly, but not significantly, lower,” said Dr. Mielke during her talk.
Other considerations
Dr. Mielke added that it will be important to account for these and other factors when applying biomarkers in community settings, but they should also be considered in the context of health care disparities. Stroke, MI, and CKD are more common in African Americans, for example, suggesting that there could be racial differences in biomarker levels, though she said the difference in biomarker levels would be more likely attributable to the underlying comorbidities than race per se. “As shown, these factors can affect the consideration of an accuracy of cut points for clinical use. So I think future discussions will be needed as to how best to determine the cut points, and how to base them off of (different) populations,” said Dr. Mielke.
These sorts of refinements are important, according to Christopher Weber, PhD, who was asked for comment. “We have learned the importance of an early and accurate diagnosis. The blood test is a biomarker that does detect the hallmarks of Alzheimer’s disease sometimes up to decades before symptoms even appear,” said Dr. Weber, who is director of Global Science Initiatives at the Alzheimer’s Association.
But “there’s a lot more that we need to learn regarding when exactly to use them, who they’re appropriate for. And I think validation is the key to these blood biomarkers,” Dr. Weber added.
Dr. Mielke has been a consultant with the Brain Protection Company and Biogen. Dr. Weber has no relevant financial disclosures.
FROM AAIC 2021