PCOS and Inositols: Controversial Results and Necessary Clarifications. Basic Differences Between D-Chiro and Myo-Inositol
Bibliographic record
Abstract
Myo-Inositol (myo-Ins) and its phosphate derivatives-including inositol phosphates (InsPs), inositol pyrophosphates (IPPs) and phosphatidyl-inositol phosphate (PtdIns)-are credited to act as second messengers, which accumulate rapidly and transiently in response to external or endocrine signals, a phenomenon that allows signaling to be discrete and regulated (1, 2). Noticeably, inositol is involved in the transduction of several endocrine signals, including insulin (3, 4), thyroid hormones (5), gonadotropins (6), lipids with hormone-like activity (as prostaglandins) (7), and many other endocrine systems (8). Namely, in the last decade, a growing body of clinical and experimental research provided robust evidence about the efficiency of inositol in reversing a few clinical, metabolic, and endocrine features of the Polycystic Ovary Syndrome (PCOS). Myo-inositol, alone or in combination with its isomer D-Chiro-Inositol (D-Chiro-Ins), showed to exert a variable-albeit significant-effect in improving both symptoms and outcome in PCOS patients (9). Experimental and pilot clinical studies pointed out that a combination of both isomers could provide a reliable rationale for establishing a proper treatment strategy, as first suggested by Beemster's seminal study
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".