Visfatin concentration in Asian Indians is correlated with high density lipoprotein cholesterol and apolipoprotein A1
Bibliographic record
Abstract
BACKGROUND: Visfatin is a recently described adipose tissue derived hormone whose role in humans remains largely unknown. OBJECTIVES: To determine visfatin's relationship to lipoproteins and body composition parameters in Asian Indians and Caucasians. DESIGN: A cross-sectional study. PATIENTS: Men and women living in Montreal, Canada between the ages of 20 and 60 years were recruited for participation in this study. Subjects were excluded if they had a history of CVD or were taking lipid lowering medication. Individuals identified themselves as Asian Indian or Caucasian. MEASUREMENTS: Anthropometric measurements were collected including weight, height, waist circumference, hip circumference and body fat percentage (BF%). Serum samples were analysed for total cholesterol, HDL-C, apoA1, apoB and visfatin. RESULTS: There was no difference in visfatin levels between Indian and Caucasian men (64.50 +/- 3.98 ng/ml vs 73.01 +/- 6.45 ng/ml, ns, respectively) and Indian and Caucasian women (59.03 +/- 5.71 ng/ml vs 77.70 +/- 7.63 ng/ml, ns, respectively), despite large differences in BF%, apoB and the apoB/apoA1 ratio. Visfatin correlated positively to HDL-C and apoA1 in the Indian men (R = 0.42, P = 0.004 and R = 0.48, P = 0.003) and Indian women (R = 0.46, P = 0.05 and R = 0.59, P = 0.01). CONCLUSION: Visfatin concentrations may be related to HDL metabolism in Asian Indian immigrants.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".