Contribution of adiponectin to the cardiometabolic risk of postmenopausal women with loss-of-function lipoprotein lipase gene mutations
Bibliographic record
Abstract
OBJECTIVE: Cardiovascular risk significantly increases after menopause. Lipoprotein lipase (LPL) is a key enzyme in the metabolism of triglyceride (TG)-rich lipoproteins, which contributes to cardiometabolic homeostasis. Adiponectin is an adipocytokine, which also influences the cardiometabolic status. The objective of this study was to evaluate the contribution of plasma adiponectin to the cardiometabolic status of women with loss-of-function LPL gene variants (LPLD). METHODS: A total of 568 white women (127 women with partial LPL deficiency and 441 controls) were included. The association of plasma adiponectin with LPLD was assessed using multiple regression models. Cardiometabolic covariates included anthropometrics, lipids (TG, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and apolipoprotein B), fasting glucose, and smoking status. RESULTS: Plasma adiponectin concentration was significantly lower in women with LPLD (8.69 ± 5.13 vs 6.50 ± 4.66 μg/mL; P < 0.001). Women with LPLD also presented a significantly higher risk of coronary artery disease (P = 0.013). After menopause, adiponectin explained a significant (P < 0.01) proportion of the variance in cardiometabolic covariates in both groups. This effect was more pronounced in women with LPLD: 13% versus 8% for high-density lipoprotein cholesterol, 8% versus 4% for waist circumference, 9% versus 5% for fasting TG, and 6% versus 2% for fasting glucose. When controlling for cardiometabolic covariates, low adiponectin values independently contributed to the clinical expression of LPLD in postmenopausal women (odds ratio, 5.55; 95% CI, 0.04-0.81; P = 0.025). CONCLUSIONS: In conclusion, these results suggest that a low plasma adiponectin level significantly contributes to the cardiometabolic risk profile of postmenopausal women with LPLD, independently of anthropometrics, lipids, and other covariates.
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".