Plasma Aβ42/40, <i>APOE4</i>, and Ethnicity in Aβ‐PET Prediction

Abstract Background Addition of apolipoprotein E4 (ApoE4) proteotype (as a surrogate for high‐risk APOE ɛ4 genotype) has significantly improved models that use the plasma Aβ42/40 ratio to predict Aβ PET‐positivity, but studies suggest different ethnicities may be less affected by the addition. Our objective was to assess the influence ApoE4 proteotype in a predominantly Hispanic cohort of participants. Method Participants in this study (n = 250) underwent neurological and neuropsychological evaluations and amyloid PET brain scans (SUVR data and visual reads) at the 1Florida ADRC; they also underwent blood draws for ApoE4 proteotyping and Aβ42/40 ratio determination by LC‐MS/MS performed at Quest Diagnostics. Ethnicity was self‐reported as Hispanic or non‐Hispanic. Using logistic regression analysis and Delong’s test, we examined the effect of incorporating ApoE4 proteotype as a categorical variable on AUCs for the overall population and for participants stratified by ethnicity: Hispanic vs non‐Hispanic. Statistical analyses were conducted using R statistical software version 4.3.3. Two‐tailed P‐values &lt;0.05 were considered statistically significant. Result The ADRC cohort had roughly 3‐times the percentage of Hispanic participants (about 60% of both the Aβ PET‐positive and Aβ PET‐negative participants) compared with a previous Aβ42/40 LC‐MS/MS study that incorporated ApoE4 proteotype. Based on ApoE4 proteotype, incorporating APOE4 allele count modestly but significantly increased the AUC (95% CI) from 0.84 (0.79‐0.89) to 0.86 (0.82‐0.91), P = 0.038, Figure A . Subsetting the ADRC cohort participants into Hispanic vs non‐Hispanic ethnicity provided a contrasting effect for ApoE4 proteotype on model improvement. For Hispanic participants, the AUC (95% CI) for the ratio plus ApoE4 proteotype, 0.86 (0.80 to 0.92) and the Aβ42/40 ratio alone, 0.85 (0.78‐0.91) were not significantly different ( P = 0.306), Figure B . For non‐Hispanic participants, the AUC (95% CI) for the ratio plus ApoE4 proteotype, 0.87 (0.81‐0.94) was significantly higher ( P = .048) than the Aβ42/40 ratio alone, 0.83 (0.75‐ 0.91), Figure C. Conclusion ApoE4 proteotype did not improve prediction of PET positivity by plasma Aβ42/40 in the Hispanic subcohort, suggesting that adding APOE4 to Aβ42/40 in algorithms used in Alzheimer’s disease risk assessment may not improve PET‐prediction for all races and ethnicities.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.095051
Primary Topic
Medical Imaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Plasma Aβ42/40, APOE4, and Ethnicity in Aβ‐PET Prediction

Robert Lagier, David E. Vaillancourt, Michael K. Racke, Ranjan Duara et al.
Alzheimer s & Dementia
Medical Imaging Techniques and Applications
article

Plasma Aβ42/40, APOE4, and Ethnicity in Aβ‐PET Prediction

Robert Lagier, David E. Vaillancourt, Michael K. Racke, Ranjan Duara, Steven W. Taylor, Darren M. Weber, Nigel J. Clarke, Matthew A. Stroh
article en

Abstract

Abstract Background Addition of apolipoprotein E4 (ApoE4) proteotype (as a surrogate for high‐risk APOE ɛ4 genotype) has significantly improved models that use the plasma Aβ42/40 ratio to predict Aβ PET‐positivity, but studies suggest different ethnicities may be less affected by the addition. Our objective was to assess the influence ApoE4 proteotype in a predominantly Hispanic cohort of participants. Method Participants in this study (n = 250) underwent neurological and neuropsychological evaluations and amyloid PET brain scans (SUVR data and visual reads) at the 1Florida ADRC; they also underwent blood draws for ApoE4 proteotyping and Aβ42/40 ratio determination by LC‐MS/MS performed at Quest Diagnostics. Ethnicity was self‐reported as Hispanic or non‐Hispanic. Using logistic regression analysis and Delong’s test, we examined the effect of incorporating ApoE4 proteotype as a categorical variable on AUCs for the overall population and for participants stratified by ethnicity: Hispanic vs non‐Hispanic. Statistical analyses were conducted using R statistical software version 4.3.3. Two‐tailed P‐values &lt;0.05 were considered statistically significant. Result The ADRC cohort had roughly 3‐times the percentage of Hispanic participants (about 60% of both the Aβ PET‐positive and Aβ PET‐negative participants) compared with a previous Aβ42/40 LC‐MS/MS study that incorporated ApoE4 proteotype. Based on ApoE4 proteotype, incorporating APOE4 allele count modestly but significantly increased the AUC (95% CI) from 0.84 (0.79‐0.89) to 0.86 (0.82‐0.91), P = 0.038, Figure A . Subsetting the ADRC cohort participants into Hispanic vs non‐Hispanic ethnicity provided a contrasting effect for ApoE4 proteotype on model improvement. For Hispanic participants, the AUC (95% CI) for the ratio plus ApoE4 proteotype, 0.86 (0.80 to 0.92) and the Aβ42/40 ratio alone, 0.85 (0.78‐0.91) were not significantly different ( P = 0.306), Figure B . For non‐Hispanic participants, the AUC (95% CI) for the ratio plus ApoE4 proteotype, 0.87 (0.81‐0.94) was significantly higher ( P = .048) than the Aβ42/40 ratio alone, 0.83 (0.75‐ 0.91), Figure C. Conclusion ApoE4 proteotype did not improve prediction of PET positivity by plasma Aβ42/40 in the Hispanic subcohort, suggesting that adding APOE4 to Aβ42/40 in algorithms used in Alzheimer’s disease risk assessment may not improve PET‐prediction for all races and ethnicities.

Alzheimer s & DementiaVol. 20(S8)
Mount Sinai Medical Center (US), Alzheimer’s Disease Neuroimaging Initiative (US), Quest Diagnostics (United States) (US)
Openalex Percentile: Top 58%
Medical Imaging Techniques and Applications
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