Presence and Severity of Lewy Body Pathology is Modulated by Sex and ApoE4 Zygosity in a Neuropathologically‐Confirmed Alzheimer’s Disease Cohort
Bibliographic record
Abstract
Abstract Background The APOE ε4 allele (ApoE4) is a known genetic risk factor for developing Alzheimer’s disease (AD). Previous work by our group demonstrated that female ApoE4 homozygotes with Lewy body (LB) pathology were significantly more likely to experience psychosis compared to female ApoE4 non‐carriers, whereas there was no dose‐dependent difference found in males (Valcic et al., 2022). The objective of this study was to examine LB pathology presence and severity in males and females across ApoE4 status, with a particular interest in female ApoE4 homozygotes. Method Demographics, APOE genotype, and LB pathology data was collected in individuals with neuropathologically‐confirmed AD (n=1,234) from the National Alzheimer’s Coordinating Center (NACC). Bayesian Multilevel Regression was used to predict the probability of LB pathology presence in males and females across ApoE4 status (0, 1, 2 ε4 alleles). An Ordinal Regression was used to examine the relationship between LB pathology severity (brainstem‐predominant (mild), limbic or amygdala‐predominant (moderate), neocortical‐predominant (severe)) and ApoE4 status, stratifying by sex. Result While males had a higher probability of exhibiting LB pathology compared to females, after stratifying by ApoE4 status, female ApoE4 homozygotes showed the highest probability of LB pathology at a 91.1% Highest Density Interval (91.1%HDI[0.12: 0.95]) across both sexes. Within females, ApoE4 homozygotes showed a significantly higher probability of having moderate to severe LB pathology relative to other groups (p =.02). Within males, there was no significant relationship between ApoE4 status and LB pathology severity. Conclusion This study revealed that sex and zygosity modulate the effect of ApoE4 on presence of LB pathology and LB severity in neuropathologically‐confirmed AD patients. Specifically, female ApoE4 homozygotes had the highest probability of having LB pathology, as well as greater LB pathology severity. Future work should explore the association between LB pathology severity and psychosis while stratifying for sex and ApoE4 status. Reference: Valcic, M., Khoury, M. A., Kim, J., Fornazzari, L., Churchill, N. W., Ismail, Z., De Luca, V., Tsuang, D., Schweizer, T.A., Munoz, D.G, & Fischer, C. E. (2022). Determining Whether Sex and Zygosity Modulates the Association between APOE4 and Psychosis in a Neuropathologically‐Confirmed Alzheimer’s Disease Cohort. Brain Sciences, 12(9), 1266.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".