Interaction between C-reactive protein and cognitive functions according to APOE gene polymorphism in post-menopausal women
Bibliographic record
Abstract
Introduction: A potential factor increasing the risk of the development of cognitive impairment with age is apolipoprotein E (APOE) ε4 carrier status.A subsequent factor which may increase the risk of development of cognitive impairment at an older age is the concentration of C-reactive protein (CRP).The objective of the study was to examine the relationship between cognitive functions and the concentration of CRP in post-menopausal women who were carriers of particular apolipoprotein E gene (APOE) polymorphisms.Material and methods: A group of 402 women was recruited to the study.The inclusion criteria were: minimum two years after the last menstruation, follicle-stimulating hormone (FSH) concentration 30 U/ml, no dementi signs on Montreal Cognitive Assessment (MoCA).The computerized battery of the Central Nervous System Vital Signs (CNS VS) test was used to diagnose cognitive functions.APOE genotyping was performed by multiplex PCR.The blood plasma CRP levels were determined.Statistical analysis was performed using Statistica software.Results: The level of neurocognitive index (NCI) and cognitive functions in post-menopausal women depends on apolipoprotein E gene polymorphism (p < 0.001) and the concentration of CRP (p < 0.05).A negative correlation was found between CRP and NCI (p = 0.018), and the reaction time (p = 0.008) of women with APOE ε2/ε3.A positive correlation was observed between CRP and visual memory (p = 0.025) in women with APOE ε3/ε3, and verbal memory (p = 0.023) in women with APOE ε3/ε4 or ε4/ε4. Conclusions: Apolipoprotein E gene polymorphism may modify the relationship between CRP concentration and cognitive functions in post-menopausal 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.002 | 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".