Elevation of plasma homocysteine in natural menopause can not be explained by a lack of vitamin coenzyme availability: relevance to the risk of cardiovascular disease.
Bibliographic record
Abstract
UNLABELLED: The risk of cardio vascular disease (CVD) doubles after menopause. Plasma homocysteine (hCy) is a risk factor which is influenced by vitamins B12,B6 and folate. The present study was conducted to examine the relationship of plasma hCy to the three vitamins and other contributing variables in early natural menopause. METHODS: Participants were healthy, non smoking Caucasian women 3 to 5 years postmenopausal (n = 26) or premenopausal between 30 and 45 y(n = 30). Anthropometric data, dietary records and plasma concentrations of hCy, vitamin B6, vitamin B12 and folate were obtained. RESULTS: The nutritional status of vitamins B6, B12 and folate as measured by dietary intake and blood concentrations was adequate in both groups. Mean fasting plasma total (t) hCy concentration of postmenopausal group was 2-fold higher than the value found for control group (P < 0.0001) without oral methionine loading. The difference between the two groups remained highly significant after adjustment for confounding variables by multivariate analysis, suggesting that the effect of estrogen deficiency was direct. CONCLUSION: In addition to the loss of the protective effects of estrogen on their cardiovascular physiology and lipid metabolism, postmenopausal women are exposed to higher plasma hCy concentrations and deleterious cardiovascular effects. The exact mechanism is not known but does not seem to be related to coenzyme deficiency.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".