Hyperandrogenic environment regulates the function of ovarian granulosa cells by modulating macrophage polarization in PCOS

The role of macrophages in polycystic ovary syndrome: A review

Polycystic ovary syndrome (PCOS) is a common endocrine disorder among fertile women, which is influenced by genetics and environment. A recent study revealed that PCOS patients were in a chronic inflammatory state, and they had abnormally activated macrophages. This paper introduces the relationship between PCOS and macrophages. The forkhead box protein O1 (FOXO-1), migration inhibitory factor, sympathetic conservation disorder, and vitamin D are believed to influence macrophages in PCOS. There is evidence that PCOS-associated abnormalities are associated with macrophages, including insulin resistance, obesity, hyperandrogenism (HA), hyperhomocysteinemia (HHcy), cardiometabolic disorder and gut microbiota dysbiosis. This review summarizes the research status of macrophages in PCOS. Macrophages might be a potential PCOS treatment candidate.

Should anti-Müllerian hormone be a diagnosis criterion for polycystic ovary syndrome? An in-depth review of pros and cons

Polycystic ovary syndrome (PCOS) is a prevalent endocrine disorder characterized by hyperandrogenism, ovulatory dysfunction, and polycystic ovarian morphology (PCOM). Despite the widespread use of the Rotterdam criteria, challenges in diagnostic accuracy persist. Anti-Müllerian hormone (AMH), a glycoprotein secreted by ovarian follicles, has emerged as a promising biomarker for refining diagnosis due to its strong correlation with follicular count and elevated levels in women with PCOS. This review critically evaluates the advantages and limitations of incorporating AMH into PCOS diagnostic criteria. Elevated AMH levels are indicative of PCOM and anovulation, offering a non-invasive diagnostic tool that minimizes interobserver variability in ultrasound-based assessments. Additionally, AMH remains stable throughout the menstrual cycle and aligns with phenotypic diversity in PCOS, potentially supporting individualized management strategies. However, significant challenges remain. Variability in AMH assay methods, the absence of comparable cut-off values, and influences of age, ethnicity, and obesity on AMH levels limit its universal applicability. Additionally, AMH cut-offs for PCOS diagnosis, ranging from 3.5 to 5 ng/mL, raises questions about its clinical relevance, as there is not clear evidence of its biological significance. The review also highlights AMH's clinical utility in reproductive medicine, particularly in predicting ovarian response to stimulation, tailoring gonadotropin dosages, and optimizing assisted reproductive technology outcomes. While AMH holds promise as a complementary diagnostic criterion for PCOS, its fully integration into clinical practice requires further validation through standardized assays, population-specific cut-offs, and robust studies to address existing limitations. In conclusion, AMH harbours the potential to enhance the specificity and sensitivity of PCOS diagnosis, particularly in dubious cases. However, the inclusion of AMH in the current criteria for diagnosing PCOS still requires addressing methodological challenges and balancing its benefits against inherent limitations.

Analysis of macrophage polarization and regulation characteristics in ovarian tissues of polycystic ovary syndrome

Background

Polycystic ovary syndrome (PCOS) can lead to infertility and increase the risk of endometrial cancer. Analyzing the macrophage polarization characteristics in ovarian tissues of PCOS is crucial for clinical treatment.

Methods

We obtained 13 PCOS and nine control ovarian samples from the CEO database and analyzed differentially expressed genes (DEGs). Macrophage polarization-related genes (MPRGs) were sourced from the GeneCards and MSigDB databases. Intersection of DEGs with MPRGs identified DEGs associated with macrophage polarization (MPRDEGs). Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Protein-protein interaction (PPI) Network analysis were conducted on MPRDEGs. Moreover, the top 10 genes from three algorithms were identified as the hub genes of MPRGs. In addition, miRNAs, transcription factors (TFs), and drugs were retrieved from relevant databases for regulatory network analysis of mRNA-miRNA, mRNA-TF, and mRNA-Drug interactions. Immune cell composition analysis between the PCOS and control groups was performed using the CIBERSORT algorithm to calculate correlations across 22 immune cell types.

Results

A total of 13 PCOS samples and nine control ovarian samples were obtained in this study. We identified 714 DEGs between the two groups, with 394 up-regulated and 320 down-regulated. Additionally, we identified 774 MPRGs, from which we derived 30 MPRDEGs by intersecting with DEGs, among which 21 exhibited interaction relationships. GO and KEGG analyses revealed the enrichment of MPRDEGs in five biological processes, five cell components, five molecular functions, and three biological pathways. Immune infiltration analysis indicated a strong positive correlation between activated nature killer (NK) cells and memory B cells, while neutrophils and monocytes showed the strongest negative correlation. Further investigation of MPRDEGs identified nine hub genes associated with 41 TFs, 82 miRNAs, and 44 drugs or molecular compounds. Additionally, qRT-PCR results demonstrated overexpression of the CD163, TREM1, and TREM2 genes in ovarian tissues from the PCOS group.

Conclusion

This study elucidated the polarization status and regulatory characteristics of macrophages in ovarian tissues of the PCOS subjects, confirming significant overexpression of CD163, TREM1, and TREM2. These findings contribute to a deeper understanding of the pathogenesis of PCOS.