The Pathological Role of miRNAs in Endometriosis

Begum, Mst Ismat Ara; Chuan, Lin; Hong, Seong-Tshool; Chae, Hee-Suk

doi:10.3390/biomedicines11113087

Cited by 3 publications

(1 citation statement)

References 216 publications

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“…Moreover, all the examined miRNAs demonstrate a trend of upregulated expression in endometriosis, as evidenced by lower Cq values than those in healthy women. This observation aligns with the recognized pathological role of miRNAs in endometriosis, where they act as key regulators of cellular processes such as proliferation, invasion, epithelial-mesenchymal transition (EMT), and angiogenesis [ 74 ].…”

Section: Discussionsupporting

confidence: 80%

Selection of reference miRNAs for RT-qPCR assays in endometriosis menstrual blood-derived mesenchymal stem cells

Hacimoto,

Cressoni,

Silva

et al. 2024

PLoS ONE

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Choosing appropriate reference genes or internal controls to normalize RT-qPCR data is mandatory for the interexperimental reproducibility of gene expression data obtained by RT-qPCR in most studies, including those on endometriosis. Particularly for miRNAs, the choice for reference genes is challenging because of their physicochemical and biological characteristics. Moreover, the retrograde menstruation theory, mesenchymal stem cells in menstrual blood (MenSCs), and changes in post-transcriptional regulatory processes through miRNAs have gained prominence in the scientific community as important players in endometriosis. Therefore, we originally explored the stability of 10 miRNAs expressions as internal control candidates in conditions involving the two-dimensional culture of MenSCs from healthy women and patients with endometriosis. Here, we applied multiple algorithms (geNorm, NormFinder, Bestkeeper, and delta Ct) to screen reference genes and assessed the comprehensive stability classification of miRNAs using RefFinder. Pairwise variation calculated using geNorm identified three miRNAs as a sufficient number of reference genes for accurate normalization. MiR-191-5p, miR-24-3p, and miR-103a-3p were the best combination for suitable gene expression normalization. This study will benefit similar research, but is also attractive for regenerative medicine and clinics that use MenSCs, miRNA expression, and RT-qPCR.

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Section: Discussionsupporting

confidence: 80%

Selection of reference miRNAs for RT-qPCR assays in endometriosis menstrual blood-derived mesenchymal stem cells

Hacimoto,

Cressoni,

Silva

et al. 2024

PLoS ONE

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Integrated Bioinformatic Analysis Reveals the Gene Signatures, Epigenetic Roles, and Regulatory Networks in Endometriosis

Amanda,

Fadilah,

Hestiantoro

et al. 2024

Preprint

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Objectives: Endometriosis is a common gynecological disease with a significant economic burden. Growing evidence has suggested the role of aberrant gene expression and epigenetic mechanisms in the pathogenesis of endometriosis. This study aims to identify potential key genes, epigenetic features, and regulatory networks in endometriosis using an integrated bioinformatic approach. Methods: Six microarray and RNA-sequencing datasets (GSE23339, GSE7305, GSE25628, GSE51981, GSE120103, GSE87809) were downloaded from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) of each dataset were analyzed using the GEO2R tool, and their mRNA, miRNA, and lncRNA components were identified subsequently. The common DEGs between datasets were combined, and the Gene ontology (GO) and pathway enrichment were analyzed using the ShinyGo. The protein-protein interaction (PPI) network of differentially expressed genes, miRNA, and lncRNA was constructed using STRING and Cytoscape, then the top 15 hub genes in the PPI network were identified using the CytoHubba. Results: A total of 551 common DEGs were identified among four or more studies, including 292 upregulated and 259 downregulated genes. Besides alterations in protein-coding genes (mRNA), 16 miRNA were identified from all studies, along with 12 lncRNA that were common in at least three studies. Enriched DEGs were mainly associated with extracellular matrix (ECM) interaction, P53 signaling pathway, and focal adhesion, which are suggested to play vital roles in the pathogenesis of endometriosis. Through PPI network construction of common DEGs, 178 nodes and 683 edges were obtained, from which 15 hub genes were identified, including CDK1, CCNB1, KIF11, CCNA2, BUB1B, DLGAP5, BUB1, TOP2A, ASPM, CEP55, CENPF, TPX2, CCNB2, KIFC, NCAPG. Conclusions: Our in-depth bioinformatics analysis reveals the critical molecular basis underlying endometriosis. The identified hub genes, miRNA, and lncRNA may also serve as potential biomarkers to predict the occurrence and prognosis of endometriosis.

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Diagnostic Value and Molecular Function of MicroRNAs in Endometrial Diseases: A Systematic Review

Kluz,

Kowalczyk,

Wasilewska

et al. 2024

Cancers

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The human endometrium experiences significant cyclic morphological and biochemical changes throughout the menstrual cycle to prepare for embryo implantation. These processes are meticulously regulated by ovarian steroids and various locally expressed genes, encompassing inflammatory reactions, apoptosis, cell proliferation, angiogenesis, differentiation (tissue formation), and tissue remodeling. MicroRNAs (miRNAs) have been recognized as crucial regulators of gene expression, with their altered expression being linked to the onset and progression of various disorders, including cancer. This review examines the expression of miRNAs in the endometrium and their potential regulatory roles under pathological conditions such as endometriosis, recurrent implantation failure and endometrial cancer. Given miRNAs’ critical role in maintaining gene expression stability, understanding the regulatory mechanisms of endometrial miRNAs and identifying their specific target genes could pave the way for developing preventive and therapeutic strategies targeting specific genes associated with these reproductive disorders.

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The Pathological Role of miRNAs in Endometriosis

Cited by 3 publications

References 216 publications

Selection of reference miRNAs for RT-qPCR assays in endometriosis menstrual blood-derived mesenchymal stem cells

Selection of reference miRNAs for RT-qPCR assays in endometriosis menstrual blood-derived mesenchymal stem cells

Integrated Bioinformatic Analysis Reveals the Gene Signatures, Epigenetic Roles, and Regulatory Networks in Endometriosis

Diagnostic Value and Molecular Function of MicroRNAs in Endometrial Diseases: A Systematic Review

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