Irisin levels in relation to metabolic and liver functions in Egyptian patients with metabolic syndrome
Bibliographic record
Abstract
Irisin is a new myokine that is suspected to influence metabolic syndrome (MetS). However, there is a great controversy with respect to its level in cases of MetS and its correlation with different metabolic parameters. The present study assesses irisin levels in MetS patients and studies its relationship to metabolic and liver functions to evaluate the possible role of the liver in regulation of this level. Sixty subjects were included in this experiment, who were divided into 3 groups: group I (normal control), group II (MetS patients with normal liver enzymes), and group III (MetS with elevated liver enzymes and fatty liver disease). Serum irisin levels showed significant increases in groups II and III compared with group I, and significant increases in group III compared with group II. Also, irisin levels were positively correlated with body mass index, serum triglycerides, homeostatic model assessment of insulin resistance index (HOMA-IR), and liver enzymes. We concluded that serum irisin levels increased in patients with MetS, especially those with elevated liver enzymes, and had a positive correlation with parameters of lipid metabolism and glucose homeostasis with the possibility of hepatic clearance to irisin.
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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".