Differences in Platelet Glycoprotein Expression During Menstruation Cycle and Ovulatory Phase
Bibliographic record
Abstract
INTRODUCTION: The variations in the physiological properties of female platelets during menstrual cycle phases, pregnancy and postmenopausal women to interactions with platelet CD49b, CD42b, CD41a and CD61 expression glycoprotein receptors were not well understood. Therefore, the aim of the present study was to evaluate the expression of these glycoprotein receptors during menstruation and ovulatory phase of menstrual cycle in reproductive age women. METHODS: It is across section study including 44 healthy young non‑hormonal contraceptives taking women aged between 19-44 years to determine the effect of estrogen on the expression level of platelet glycoprotein receptors (GPIb, GPIIa, GPIIb and GPIIIa) in its resting state in women in reproductive age. RESULTS: No significant difference in the expression of CD42b, CD41a and CD61 between menstruation and ovulatory phases in resting platelets in all subjects. However, this study showed a significant difference in CD49b expression in none-Arab ethnic subjects compared to Arab women. CONCLUSION & RECOMMENDATIONS: This study suggested CD49b glycoprotein receptor used to be the commonly expression on the surface of platelet at some stage in menstruation and ovulatory segment of menstrual cycle in reproductive age women in turn extended platelet activity. Further studies including large number of subjects, platelet integrin gene polymorphisms and progesterone factors changes in platelet clotting associated to menstrual cycle should be conducted.
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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 | 0.000 |
| 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) | 0.002 | 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".