Potential role of <scp>d</scp>-<i>chiro</i>-inositol in reducing oxidative stress in the blood of nonobese women with polycystic ovary syndrome
Bibliographic record
Abstract
d- chiro-Inositol (DCI), an isomer of inositol, possesses antioxidative and endothelial protective properties. Possibly due to a deficiency of insulin mediators, polycystic ovary syndrome (PCOS) is often associated with insulin resistance (IR) and hyperinsulinemia, likely responsible for an elevated production of reactive oxygen species. We investigated oxidative-related alterations of inositol in the blood of women with PCOS before and after treatment with DCI. A total of 38 normal-weight PCOS women were investigated before and after DCI administration (500 mg/day for 12 weeks; n = 38) by evaluating serum testosterone, serum androstenedione, fasting serum insulin, fasting serum glucose, and parameters of IR. From the blood, we determined biomarkers of oxidative stress: superoxide anion radicals, hydrogen peroxide, nitric oxide, and the index of lipid peroxidation. The activity of catalase and superoxide dismutase and the reduced glutathione (GSH) content in the hemolysate were also assessed. Data showed that PCOS patients' plasma underwent oxidative stress, as indicated by the higher level of prooxidants and reduced cytosolic GSH content. DCI treatment significantly improved the metabolic parameters. Also, serum values of testosterone were reduced. In conclusion, PCOS patients suffer from a systemic oxidative stress that induces endothelial dysfunction. Treatment with DCI is effective in reducing hormonal, metabolic, and oxidative abnormalities in PCOS patients by improving IR.
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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 | 0.000 |
| 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) | 0.001 | 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".