Apparent Sex-Specific Divergence of Acylation Stimulating Protein Levels With Respect to Metabolic Parameters of Pathogenetic and Clinical Relevance
Bibliographic record
Abstract
Background: Acylation stimulating protein (ASP) is an adipose tissue-derived hormone that regulates triglyceride (TG) synthesis and glucose transport. Associations of ASP and / or its precursor complement C3 have been demonstrated with obesity, insulin resistance, diabetes, and cardiovascular diseases. We determined fasting serum ASP in a Turkish adult population sample and assessed relationships with cardiometabolic risk factors. Methods: Cross-sectional population-based study recruiting 224 men and women from the Turkish Adult Risk Factor (TARF) study. Results: Geometric Mean ASP levels (median) in women (271 nmol / L) tended to be lower than men (305 nmol / L) (P = 0.059), and this was also true in most subgroups with vs . without cardiometabolic disorders. Interestingly, correlations of ASP diverged in direction across genders with TG, glucose, height, age and other risk variables. Conclusion: Gender divergence is an aspect of this Turkish population that has been noted for various lipid parameters (HDL, Lp(a)), association of cardiometabolic risk with smoking and alcohol intake and the response of the pro-inflammatory state to adiposity. This is consistent in the present study, where metabolic states correlate with ASP, but are divergent between genders. doi:10.4021/jem58w
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 teacher head, 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".