Sex‐ and <scp>APOE</scp> Genotype–Dependent Pain Susceptibility and Alzheimer's Risk Mediated by the Lipid Metabolism Enzyme <scp>LPCAT2</scp>
Bibliographic record
Abstract
Neuropathological changes that precede or accompany early cognitive decline in Alzheimer's disease (AD) may also impact pain processing; however, the molecular connection between these domains remains unclear. In this study, we investigated whether a shared causal factor underlies both increased pain susceptibility and AD progression. Analysis of two ethnically distinct cohorts revealed a significant association between pain susceptibility and cognitive decline from cognitively normal (CN) status to mild cognitive impairment (MCI), particularly in non-APOE4 (non-E4) males, an unexpected finding given that APOE4 females exhibited the highest overall pain susceptibility across sex and genotype groups. To explore potential drivers of this APOE genotype- and sex-specific association, blood transcriptomic analysis identified LPCAT2 expression as correlating with both heightened pain susceptibility and progression from MCI to AD, most notably in non-E4 males. This relationship was further supported by elevated LPCAT2 protein levels in the hippocampus of postmortem non-E4 male AD patients. Strengthening this link, our genetic association analysis across four cohorts identified several functional LPCAT2 variants that not only influenced its expression but were also associated with altered pain susceptibility, increased AD risk, and accelerated progression from MCI to AD. To move beyond correlation and assess causality, Mendelian randomization analysis supported a causal role for LPCAT2 in both pain susceptibility and MCI-to-AD progression. Collectively, these findings identify LPCAT2 as a key molecular link between altered pain processing and AD progression, highlighting its potential as both a therapeutic target for genotype- and sex-specific subpopulations and a prognostic biomarker for MCI-to-AD conversion.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".