Systematic analysis of the biological roles and pharmacological properties of D-chiro-inositol
Bibliographic record
Abstract
D-chiroinositol (DCI) is one of the 9 inositol isomers that forms inositol phosphoglycans, which are mediators of the action of insulin. The metabolism of DCI and myo-inositol (MI) is impaired against the background of insulin resistance, including the patients with polycystic ovary syndrome (PCOS). Aim. Highlight the most characteristic pharmacological properties of DCI. Materials and methods. Systematic computer analysis of 45 600 publications on the biological roles of inositol by methods of the topological theory of pattern recognition and systems biology analysis of human proteome. Results. A complex of interactions between metabolic disorders of DCI, PCOS, ovulation disorders, obesity associated with numerous hormonal disorders is described. Supplements with DCI and MI increase the sensitivity of cells to insulin and normalize the metabolism of androgens. An important difference between DCI and MI is the presence of DCI in the composition of inositol phosphoglycans that mediate the action of insulin on cells, as well as its participation in the realization of the therapeutic effects of metformin. The use of the MI+DCI combination allows achieving positive dynamics in reducing excess body weight, normalizing blood lipids, glucose and insulin levels, restoring the ovulatory menstrual cycle, improving oocyte quality, and helps prevent gestational diabetes in pregnant women and macrosomia of the fetus. DCI is more effective than MI in reducing the risk of folate-resistant neural tube defects. Conclusion. The therapeutic potential of DCI in combination with MI for treating PCOS and hyperandrogenism is evident. Depending on the therapeutic expediency, various ratios of MI:DCI can be used for the treatment of PCOS and disorders of carbohydrate and lipid metabolism.A
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.011 | 0.011 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".