AI Article Synopsis

  • Polycystic ovary syndrome (PCOS) is linked to infertility and a higher risk of endometrial cancer, making the study of macrophage polarization in ovarian tissues essential for better clinical treatments.* -
  • The research analyzed 13 PCOS and 9 control ovarian samples to identify differentially expressed genes (DEGs) related to macrophage polarization, resulting in 30 significant genes that showed strong interactions within immune processes.* -
  • Findings indicated various immune cell interactions, highlighting a significant correlation between activated natural killer (NK) cells and memory B cells, while suggesting therapeutic avenues through hub genes and their regulatory networks.*

Article Abstract

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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11422077PMC
http://dx.doi.org/10.3389/fmed.2024.1417983DOI Listing

Publication Analysis

Top Keywords

ovarian tissues
16
macrophage polarization
12
tissues pcos
12
characteristics ovarian
8
polycystic ovary
8
ovary syndrome
8
pcos
8
pcos control
8
control ovarian
8
ovarian samples
8

Similar Publications

Importance: The goal of surgical deescalation is to minimize tissue damage, enhance patient outcomes, and reduce the adverse effects often associated with extensive or traditional surgical procedures. This shift toward less invasive techniques has the potential to revolutionize surgical practices, profoundly impacting the methods and training of future surgeons.

Objective: To evaluate adoption of surgical deescalation within the field of gynecologic oncology using The National Cancer Database.

View Article and Find Full Text PDF

It is crucial to develop new tactics to prevent ovarian tissue damage in women whose reproductive toxicity is caused by chemotherapy. The present investigation was performed to assess the protective effects of Moringa oleifera (M. oleifera) leaf extract on cyclophosphamide (CP)-induced ovarian damage and reproductive dysfunction.

View Article and Find Full Text PDF

Background: The benefit of cytoreduction with hyperthermic intraperitoneal chemotherapy (CRS/HIPEC) for epithelial ovarian cancer (EOC) remains uncertain. This study investigated the relationship between serum cytokines, particularly monocyte chemoattractant protein-1 (MCP-1), a key inflammatory mediator, and recurrence risk in EOC patients undergoing CRS/HIPEC.

Methods: From January 2018 to January 2023, serum cytokine levels were analyzed in 34 EOC patients (17 primary, 17 recurrent) before and after CRS/HIPEC using MILLIPLEX Magnetic Bead Panels.

View Article and Find Full Text PDF

Objective To compare the safety and efficacy of fertility-sparing surgery in patients with ovarian borderline tumors (BOT). Methods A total of 121 BOT patients undergoing fertility-sparing surgery between January 2010 and October 2022 were retrospectively analyzed.The univariate analysis,multivariate analysis,and survival curves were employed to evaluate the clinicopathological and surgical variables and fertility.

View Article and Find Full Text PDF

Background: Predictive, preventive, and personalized medicine (PPPM/3PM) is a strategy aimed at improving the prognosis of cancer, and programmed cell death (PCD) is increasingly recognized as a potential target in cancer therapy and prognosis. However, a PCD-based predictive model for serous ovarian carcinoma (SOC) is lacking. In the present study, we aimed to establish a cell death index (CDI)-based model using PCD-related genes.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!