Increased CD163+ Macrophage Activation and High Expression of CD163 Promote Granulosa Cell Apoptosis in Polycystic Ovary Syndrome
Bibliographic record
Abstract
Background: The inflammatory microenvironment disrupts the ovarian niche, impairing granulosa cell function and leading to aberrant follicular development, a key pathological feature of polycystic ovary syndrome (PCOS). However, the precise mechanisms by which inflammation influences granulosa cell function remain poorly understood. Methods: Differentially expressed genes (DEGs) were identified from the GSE34526 dataset, with the inflammatory marker CD163 selected for further investigation due to its upregulation in ovarian granulosa cells in PCOS. Serum levels of soluble CD163 (sCD163) were measured in patients with PCOS, and a dehydroepiandrosterone (DHEA)-induced PCOS mouse model was utilized to examine the relationship between CD163 expression, inflammatory mediators, and macrophage activity in the ovaries and uterus. Granulosa cell apoptosis, inflammatory cytokine secretion, and sCD163 release from conditioned media (CM) of differently polarized macrophages co-cultured with COV434 cells were assessed. Results: Elevated serum sCD163 levels were observed in patients with PCOS. The DHEA-induced PCOS mice exhibited characteristic oestrous cycle abnormalities, as well as morphological and pathological alterations in the ovaries and uterus. Increased CD163 expression was detected in ovarian and uterine macrophages of PCOS mice, alongside elevated inflammatory cytokines. Conditioned media from M1-polarized macrophages induced apoptosis in COV434 granulosa cells, with concomitant increases in pro-inflammatory cytokines (IL-1β and IL-6) and sCD163 secretion. Furthermore, CD163 + cell apoptosis was heightened in the ovaries of PCOS mice. Conclusion: These findings suggest that ovarian macrophages, through elevated CD163 expression, contribute to granulosa cell apoptosis and the secretion of sCD163, which may play a critical role in the pathogenesis of PCOS. Keywords: CD163, high expression, macrophage activation, granulosa cell apoptosis, polycystic ovary syndrome
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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".