CLINICAL PHENOTYPING OF THE COGNITIVELY UNIMPAIRED IN THE AD SPECTRUM USING PET IMAGING

Abstract Clinical phenotyping of cognitively unimpaired (CU) older adults who may progress to dementia is a pressing issue in Alzheimer’s disease (AD) since early interventions are the most effective. Out-patient cognitive screening commonly uses rapid and simple tests such as the Montreal Cognitive Assessment (MoCA) but its role in preclinical AD remains unclear. We hypothesize that sub-categorizing CU based on the presence of amyloid (A) and/or tau (T) pathologies, as measured by PET, can cognitively phenotype CU using MoCA. We studied 147 CU [CDR global score 0] older adults with MK6240 and Flortaucipir tau-PET and PiB or NAV4694 amyloid PET from the ongoing HEAD study. Based on tracer uptake, individuals were divided into A-T-, A-T+, A+T- and A-T- groups. They were evaluated using the UDS-3 battery. One-way ANOVA with Tukey’s correction for multiple comparisons, was used to test for significant differences between groups. With both MK6240 and Flortaucipir, MoCA total scores revealed significant differences between A+T+ and A-T- groups [mean: -1.74 (SE: 0.56), p: 0.013 and mean: -1.56 (SE: 0.6), p: 0.049] respectively. A+T- vs A+T+ was also significant with MoCA total and MoCA Delayed Recall using MK6240 [mean: -2.05 (SE: 0.77), p: 0.041 and mean: -1.15 (SE: 0.42), p: 0.033]. MK6240 shows more sensitivity than Flortaucipir. Therefore, MoCA, a simple and commonly used in-office neuropsychological test can detect cognitive dysfunction in Aβ and tau positive (A+/T+) CU older adults. This highlights the value of precisely characterizing preclinical AD subtypes that are more likely to develop AD dementia.

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Publication Details

Journal
Innovation in Aging
Published
2024-12-01
DOI
https://doi.org/10.1093/geroni/igae098.4338
Primary Topic
Neuroethics, Human Enhancement, Biomedical Innovations
Type
article
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article

CLINICAL PHENOTYPING OF THE COGNITIVELY UNIMPAIRED IN THE AD SPECTRUM USING PET IMAGING

Tharick Ali Pascoal, Cynthia Felix, William E. Klunk, Pâmela C.L. Ferreira et al.
Innovation in Aging
Neuroethics, Human Enhancement, Biomedical Innovations
article

CLINICAL PHENOTYPING OF THE COGNITIVELY UNIMPAIRED IN THE AD SPECTRUM USING PET IMAGING

Tharick Ali Pascoal, Cynthia Felix, William E. Klunk, Pâmela C.L. Ferreira, Beth E. Snitz, George W. Rebok, Suzanne Baker, Felix Joy Kollasserry
article en

Abstract

Abstract Clinical phenotyping of cognitively unimpaired (CU) older adults who may progress to dementia is a pressing issue in Alzheimer’s disease (AD) since early interventions are the most effective. Out-patient cognitive screening commonly uses rapid and simple tests such as the Montreal Cognitive Assessment (MoCA) but its role in preclinical AD remains unclear. We hypothesize that sub-categorizing CU based on the presence of amyloid (A) and/or tau (T) pathologies, as measured by PET, can cognitively phenotype CU using MoCA. We studied 147 CU [CDR global score 0] older adults with MK6240 and Flortaucipir tau-PET and PiB or NAV4694 amyloid PET from the ongoing HEAD study. Based on tracer uptake, individuals were divided into A-T-, A-T+, A+T- and A-T- groups. They were evaluated using the UDS-3 battery. One-way ANOVA with Tukey’s correction for multiple comparisons, was used to test for significant differences between groups. With both MK6240 and Flortaucipir, MoCA total scores revealed significant differences between A+T+ and A-T- groups [mean: -1.74 (SE: 0.56), p: 0.013 and mean: -1.56 (SE: 0.6), p: 0.049] respectively. A+T- vs A+T+ was also significant with MoCA total and MoCA Delayed Recall using MK6240 [mean: -2.05 (SE: 0.77), p: 0.041 and mean: -1.15 (SE: 0.42), p: 0.033]. MK6240 shows more sensitivity than Flortaucipir. Therefore, MoCA, a simple and commonly used in-office neuropsychological test can detect cognitive dysfunction in Aβ and tau positive (A+/T+) CU older adults. This highlights the value of precisely characterizing preclinical AD subtypes that are more likely to develop AD dementia.

Innovation in AgingVol. 8(Supplement_1)
Johns Hopkins University (US), University of Pittsburgh (US), Indian Statistical Institute (IN)
Openalex Percentile: Top 74%
Neuroethics, Human Enhancement, Biomedical Innovations
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