Integrated Bioinformatics and Experimental Analysis Revealed Crosstalk Between IL-6, Autophagy, Ubiquitination, and Key miRNAs in Female Infertility: Insights from Ovarian Endometriosis and Polycystic Ovary Syndrome

Female infertility, affecting millions worldwide, involves complex molecular mechanisms such as chronic inflammation, impaired cellular death, and protein regulation. This study explores how the cytokine IL-6, the autophagy marker LC3, ubiquitination process, and three miRNAs, miR-146a-5p, miR-9-5p, and miR-9-3p, contribute to the control of ovarian function and female infertility. Two expression profile datasets (GSE199225 and GSE146856) were screened and downloaded from GEO. DEGs were screened using the GEO2R and ggVennDiagram tools. The three miRNAs were retrieved from datasets using the multiMiR tool, and IL6-targeted genes were retrieved from MSigDB. IL6 and miRNA interaction networks were constructed. Further, the cross-correlation of LC3 and ubiquitination with the DEGs associated miRNAs was demonstrated. Meanwhile, GO/KEGG pathway enrichment analyses and molecular network interaction analysis were performed. Lastly, immunohistochemistry and quantitative PCR (qPCR) were used to confirm the expression of IL6, LC3, and miRNA in ovarian endometrial tissues compared to control tissues. The results showed that IL-6 drives inflammation in conditions of PCOS and ovarian endometriosis, which then disrupts ovulation and embryo implantation. miR-146a-5p reduced inflammation by targeting the gene TRAF6, while miR-9-5p regulated protein degradation via SQSTM1. In agreement with the bioinformatic approach, experimental analysis revealed reduced IL6 protein expression in ovarian endometriosis tissues while the mRNA IL6 level was increased, suggesting the presence of post-transcriptional regulatory mechanisms that act to limit excessive inflammation, probably through miRNAs. Indeed, the levels of miR-146a-5, which plays a role in immune modulation and inflammatory signaling, were significantly upregulated. Interestingly, an alteration in autophagic markers revealed by elevated LC3 was also observed. Aligned with these experimental data, bioinformatic analysis showed that autophagy genes LC3 and ATG5 and ubiquitination processes were tightly linked to ovarian health, with disruptions accelerating follicle loss and oxidative damage. In conclusion, the results showed that IL-6, miRNAs, and autophagy processes work together to control inflammation and cellular repair in ovarian disorders. This study opens new avenues for targeted treatments to improve fertility outcomes by connecting molecular networks to clinical insights.

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Publication Details

Journal
Cells
Published
2025-10-28
DOI
https://doi.org/10.3390/cells14211693
Citations
2
Primary Topic
Endometriosis Research and Treatment
Type
article
Field-Weighted Citation Impact
3.40

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article

Integrated Bioinformatics and Experimental Analysis Revealed Crosstalk Between IL-6, Autophagy, Ubiquitination, and Key miRNAs in Female Infertility: Insights from Ovarian Endometriosis and Polycystic Ovary Syndrome

Abdel Halim Harrath, Maria Arafah, Saber Nahdi
2 citations
Cells
Endometriosis Research and Treatment
3.40
article

Integrated Bioinformatics and Experimental Analysis Revealed Crosstalk Between IL-6, Autophagy, Ubiquitination, and Key miRNAs in Female Infertility: Insights from Ovarian Endometriosis and Polycystic Ovary Syndrome

Abdel Halim Harrath, Maria Arafah, Saber Nahdi
article en
2 citations

Abstract

Female infertility, affecting millions worldwide, involves complex molecular mechanisms such as chronic inflammation, impaired cellular death, and protein regulation. This study explores how the cytokine IL-6, the autophagy marker LC3, ubiquitination process, and three miRNAs, miR-146a-5p, miR-9-5p, and miR-9-3p, contribute to the control of ovarian function and female infertility. Two expression profile datasets (GSE199225 and GSE146856) were screened and downloaded from GEO. DEGs were screened using the GEO2R and ggVennDiagram tools. The three miRNAs were retrieved from datasets using the multiMiR tool, and IL6-targeted genes were retrieved from MSigDB. IL6 and miRNA interaction networks were constructed. Further, the cross-correlation of LC3 and ubiquitination with the DEGs associated miRNAs was demonstrated. Meanwhile, GO/KEGG pathway enrichment analyses and molecular network interaction analysis were performed. Lastly, immunohistochemistry and quantitative PCR (qPCR) were used to confirm the expression of IL6, LC3, and miRNA in ovarian endometrial tissues compared to control tissues. The results showed that IL-6 drives inflammation in conditions of PCOS and ovarian endometriosis, which then disrupts ovulation and embryo implantation. miR-146a-5p reduced inflammation by targeting the gene TRAF6, while miR-9-5p regulated protein degradation via SQSTM1. In agreement with the bioinformatic approach, experimental analysis revealed reduced IL6 protein expression in ovarian endometriosis tissues while the mRNA IL6 level was increased, suggesting the presence of post-transcriptional regulatory mechanisms that act to limit excessive inflammation, probably through miRNAs. Indeed, the levels of miR-146a-5, which plays a role in immune modulation and inflammatory signaling, were significantly upregulated. Interestingly, an alteration in autophagic markers revealed by elevated LC3 was also observed. Aligned with these experimental data, bioinformatic analysis showed that autophagy genes LC3 and ATG5 and ubiquitination processes were tightly linked to ovarian health, with disruptions accelerating follicle loss and oxidative damage. In conclusion, the results showed that IL-6, miRNAs, and autophagy processes work together to control inflammation and cellular repair in ovarian disorders. This study opens new avenues for targeted treatments to improve fertility outcomes by connecting molecular networks to clinical insights.

CellsVol. 14(21)
King Saud University (SA)
King Saud University
Openalex Percentile: Top 7%
Endometriosis Research and Treatment
3.40
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