Associations of plasma ergothioneine levels with cognitive function change in non-demented older Chinese adults: A community-based longitudinal study
Bibliographic record
Abstract
Abstract Aim Animal studies have reported that ergothioneine (ET) exert a protective effect on cognitive function, but evidence from humans remains limited. In this study, we explored the association between plasma ET levels and cognitive change in a prospective cohort study specifically focused on older adults without dementia in Shanghai. Methods This analysis was based on 1,131 community-dwelling elder Chinese (mean age 69 years) from the Shanghai Brain Aging Study. Ultra-high-performance liquid chromatography-mass spectrometry was used to measure plasma ET at baseline. Cognitive function was assessed at baseline and follow-up (mean 2.0 years) via the Montreal Cognitive Assessment (MoCA) by trained clinicians. Multivariable linear regression evaluated ET-cognition associations with confounder adjustment. Results Each 1-SD increase in ET was associated with a 0.23 higher point in MoCA changes (95% CI: 0.04–0.43, P =0.021) after adjustment for age, sex, smoking, alcohol, diet score, educational level, BMI, hypertension, hyperlipidemia, diabetes, cardiovascular disease, APOE ε4 status and baseline MoCA scores. Sex-stratified analysis revealed a significant association in men ( β =0.78 per SD, 95% CI: 0.35–1.21, P < 0.001), but not in women ( P for interaction = 0.017). Dose-response curves indicated plateauing effects above 1000 ng/mL. Domain-specific analyses identified significant protective associations for visuospatial/executive function ( β =0.08, 95% CI: 0.02–0.14) and delayed recall ( β =0.11, 95% CI: 0.02–0.20). Conclusions Our findings indicate that higher plasma ET levels are significantly associated with slower cognitive decline independent of confounders in non-demented community-dwelling elderly participants, with such association observed in men but not women.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".