Plasma irisin is associated with insulin resistance in men (854.4)
Bibliographic record
Abstract
The hormone irisin has been described as increasing energy expenditure and improving glucose tolerance in mice, yet its potential role in humans remains controversial. Objective : We describe the association between circulating irisin and insulin resistance in men with wide‐ranging fitness levels and metabolic health. Methods : Fifty‐two men aged 34‐53 yrs from 4 groups were compared: sedentary non‐obese controls (BMI<25 kg/m 2 ), sedentary obese (BMI>30 kg/m 2 ), sedentary obese glucose intolerant, and non‐obese highly trained endurance active. All participants were evaluated for fitness (VO 2max ), anthropometric profile, circulating metabolic profile, insulin resistance (hyperinsulinemic‐euglycemic clamp), and baseline plasma irisin levels (EIA, Phoenix Pharamaceuticals, Inc.). Results : Baseline plasma irisin levels were significantly different between groups (ANOVA p =0.01), being lowest in trained men (1406±382 ng/mL) and highest in metabolically deteriorated glucose intolerant subjects (2040±505 ng/mL). Including all subjects, irisin levels were positively associated with percent body fat (r=0.445, p<0.01), and negatively associated with fitness (r=‐0.369, p<0.01) and insulin sensitivity (M/I, r=‐0.355, p<0.01). The strength of these associations was reduced and lost statistical significance when excluding the active individuals, except for that with insulin resistance, which was slightly increased (r=‐0.413, p<0.01). Conclusion : Plasma irisin levels are associated with decreased insulin sensitivity in men, but the association appears to be influenced by training status. Grant Funding Source : Supported by the CIHR and CRIUCPQ.
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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 | 0.000 | 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) | 0.003 | 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".