Changes in mitochondrial DNA copy number and extracellular matrix (ECM) proteins in the uterosacral ligaments of premenopausal women with pelvic organ prolapse
Bibliographic record
Abstract
OBJECTIVE: The study aimed to explore the changes in mitochondrial DNA (mtDNA) copy number, collagen, and matrix metalloproteinase (MMPs) expression with pelvic organ prolapse (POP) in the uterosacral ligaments of premenopausal women. MATERIALS AND METHODS: A group of 56 premenopausal women, all younger than 52 years of age, were enrolled in this study. Uterosacral ligament (UL) biopsies were obtained from uterine specimens taken from 22 women with POP (n = 22, study group) and 34 myoma patients without POP (n = 34, control group) during abdominal or vaginal hysterectomy. Quantitative real-time polymerase chain reaction (Q-PCR) and immunohistochemistry analysis were applied in the present study. RESULTS: The rate of high body mass index (BMI) (> 24 kg/m(2)) women was significantly higher in the POP group (81.8% vs. 35.3%, p = 0.001 *), and the BMI of the POP women was higher than that of the nonPOP women (p = 0.029 *). The mtDNA copy number (p = 0.001 *), collagen III alpha 1 (COL3α1) expression (p = 0.025 *), and MMP2 expression (p = 0.047 *) were significantly higher in the POP group when compared with the nonPOP group. The high BMI women had a higher mtDNA copy number (p = 0.002 *), COL3α1 (p = 0.028 *) gene expressions compared with the standard BMI women. CONCLUSION: In the premenopausal state, higher BMI may be a stronger associate factor than vaginal birth for the development of POP. The higher mtDNA copy number, COL3α1, and MMP2 gene expressions are highly associated with POP in the UL of premenopausal women.
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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 | 0.001 | 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".