Plasma Fatty Acids and Desaturase Activity Are Associated with Circulating Adiponectin in Healthy Adolescent Girls
Bibliographic record
Abstract
CONTEXT: Adiponectin can be a potential predictor of future metabolic derangements and some preliminary evidence supports the role of dietary fat in influencing adiponectin levels thus, the dietary determinants of adiponectin were investigated. OBJECTIVE: The objective of the study was to evaluate the association of adiponectin concentrations with plasma fatty acids and indices of endogenous fatty acid metabolism. DESIGN: This was a cross-sectional descriptive analysis to investigative the determinants of adiponectin. SETTING: All subjects were examined at a large tertiary care center located in Montréal (Québec, Canada) between 2004 and 2006. SUBJECTS: Subjects included 180 postpubertal, adolescent daughters (age range 13.6-17.3 yr) from a 15-yr retrospective cohort of mother-daughter pairs representing gestational diabetes mellitus affected (cases) and nonaffected (controls) pregnancies between 1989 and 1991. MAIN OUTCOME MEASURES: Plasma adiponectin concentrations, plasma fatty acids presented grouped by series name and as individual fatty acids (reported as percent of total), and calculated indices of fatty acid metabolism were measured. RESULTS: In linear regression analyses, adjusting for both waist circumference and insulin measured 2 h after the onset of an oral glucose tolerance test, the docosahexaenoic acid sufficiency index (an indicator of docosahexaenoic acid status) and alpha-linolenic acid (C18:3 n-3) were significantly negatively associated (P <or= 0.05) with adiponectin. After accounting for dietary fat intake, these associations disappeared, indicating an effect of diet. However, the long-chain saturated fatty acid, lignoceric (C24:0), was positively associated (P <or= 0.05) and Delta 9-18 desaturase activity (estimated from the ratio of 18:1 n-9/18:0) was significantly inversely (P
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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 | 0.000 | 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".