Physiological pathways and molecular mechanisms regulating uterine contractility
Bibliographic record
Abstract
BACKGROUND: Uterine contractile activity plays an important role in many and varied reproductive functions including sperm and embryo transport, implantation, menstruation, gestation and parturition. Abnormal contractility might underlie common and important disorders such as infertility, implantation failure, dysmenorrhea, endometriosis, spontaneous miscarriage or preterm birth. METHODS: A systematic review of the US National Library of Medicine was performed linking 'uterus' or 'uterine myocyte' with 'calcium ion' (Ca(2+)), 'myosin light chain kinase' and 'myosin light chain phosphatase'. This led to many cross-references involving non-uterine myocytes and, where relevant, these data have been incorporated into the following synthesis. RESULTS: We have grouped the data according to three main components that determine uterine contractility: the contractile apparatus; electrophysiology of the myocyte including excitation-contraction coupling; and regulation of the sensitivity of the contractile apparatus to Ca(2+). We also have included information regarding potential therapeutic methods for regulating uterine contractility. CONCLUSIONS: More research is necessary to understand the mechanisms that generate the frequency, amplitude, duration and direction of propagation of uterine contractile activity. On the basis of current knowledge of the molecular control of uterine myocyte function, there are opportunities for systematic testing of the efficacy of a variety of available potential pharmacological agents and for the development of new agents. Taking advantage of these opportunities could result in an overall improvement in reproductive health.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".