Polymorphisms of apolipoprotein E gene and cognitive functions of postmenopausal women, measured by battery of computer tests - Central Nervous System Vital Signs.
Bibliographic record
Abstract
OBJECTIVES: Apolipoprotein E (APOE) gene belongs to the group of genes increasing the risk of the Alzheimer's disease (AD) development. The purpose of the study was the analysis of cognitive functions in postmenopausal women having different polymorphisms of APOE gene; battery of computer tests - Central Nervous System Vital Signs (CNS-VS) were employed. METHODS: The women were qualified into the examined group on the grounds of clinical symptoms (minimum 2 years after the last menstruation), as well as on the basis of FSH concentration. At the qualification stage, a short test - Montreal Scale of Cognitive Function Assessment (MoCA) was conducted. The assessment of cognitive functions was made with the use of diagnostic CNS-Vital Signs equipment. Genomic DNA isolation was extracted from human whole blood. Multiplex PCR reactions have been performed in a single reaction tube with six (6) primers, consisting of 2 common primers and 4 specific primers [2 - for each of 2 single nucleotide polymorphism (SNP) sites]. RESULTS AND CONCLUSIONS: About half of the examined postmenopausal women were placed below average in the majority of the examined cognitive functions. The biggest impairments occurred in the field of processing speed, and the smallest - in the field of verbal and visual memory. Polymorphisms of APOE gene were considerably linked with the level of results of the majority of cognitive functions among postmenopausal women, as measured by battery of computer tests - CNS-VS. The presence of ε2/ε3 polymorphism of APOE gene impacted positively the obtained results of cognitive functions, whereas the presence of ε3/ε4, or ε4/ε4 polymorphisms worsened the obtained results.
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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) | 0.001 | 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".