The association of adiponectin gene expression and serum levels with susceptibility to peripheral polyneuropathy in Egyptian patients by women with hypothyroidism
Bibliographic record
Abstract
Abstract Hypothyroidism has numerous comorbidities including degenerative neurological disease and insulin resistance. Adiponectin is an adipokine secreted by adipose tissue with insulin-sensitizing, anti-inflammatory, and antioxidant properties. This study was designed to explore the expression pattern of Adiponectin and its serum level in hypothyroidism and peripheral neuropathy (PN). The aim was to also evaluate the association between the expression pattern of adiponectin and its serum level with the clinical and electrophysiological tests of PN in hypothyroid patients. This cross-sectional controlled study enrolled 110 hypothyroid patients and 80 control group participants. All participants were subjected to a complete neurological examination and nerve conduction study (NCS). Adiponectin level was measured using an enzyme-linked immunosorbent assay. Adiponectin expression levels were estimated using real-time PCR. The results showed lower values of serum adiponectin and adiponectin expression levels in hypothyroid patients, especially patients with PN. NCS in the studied group showed that motor and sensory nerve conduction in the median and posterior tibial nerves were significantly decreased in both hypothyroid patients with or without PN compared with the euthyroid group. In addition, serum adiponectin and adiponectin expression were negatively correlated with Toronto Clinical Scoring System as well as cardiometabolic risks and positively correlated with NCS of the median, sural, and tibial nerves. The diagnostic power of adiponectin expression is better than that of adiponectin serum levels. Hypothyroid patients with PN had lower values of serum adiponectin and adiponectin expression levels than hypothyroid patients without PN; the diagnostic power of combined adiponectin serum and expression levels was thus highly significant, and they could be a useful diagnostic biomarker of PN.
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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 | 0.001 |
| 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) | 0.002 | 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".