Serum Apelin Level in Type 2 Diabetic Mellitus Patients and Its Association With Metabolic Syndrome Components
Bibliographic record
Abstract
Background: Metabolic syndrome (MetS) is a multiple risk factor for metabolic diseases. Apelin plays a crucial role in controlling insulin sensitivity and secretion in animals. The study aimed to clarify the difference in serum apelin between Iranain subjects with MetS and type 2 diabetes mellitus (T2DM), and subjects without MetS and its association with MetS components. Methods: The study was conducted on 196 individuals, including 98 Iranian subjects with MetS and T2DM, and 98 age- and sex-matched individuals without MetS. MetS was defined using Adult Treatment Panel III (ATP-III) guidelines. Results: Serum apelin level was significantly lower in subjects with MetS than those without MetS. There was a negative correlation between apelin and fasting blood glucose (FBG) in subjects with MetS and in both sexes (P < 0.05). Conclusions: The apelin level in Iranian T2DM subjects with MetS is related to FBG. Apelin is thought to affect glucose metabolism and insulin resistance. Apelin may be an essential indicator in Iranian T2DM people and may play an important role in preventing diabetes complications in T2DM patients. J Endocrinol Metab. 2023;13(2):81-87 doi: https://doi.org/10.14740/jem876
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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".