MiRNA Expression Profiles in an Ectopic Endometrium of Patients at Different Stage of Endometriosis

Victoria Spasova, Vesela Karamisheva, Zora Hammoudeh, Olga Antonova, Radoslav Todorov, Liliya Koleva, A. Kolev, Rada Staneva, Драга Тончева, Savina Hadjidekova
In: Proceedings of the Bulgarian Academy of Sciences · 2023 · vol. 76(10) · doi:10.7546/crabs.2023.10.14 · W4388081925
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This study identified 32 differentially expressed miRNAs in early-stage endometriosis and 51 in advanced-stage endometriosis compared to controls, with three top candidates nominated as potential biomarkers.

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This study measured microRNA (miRNA) expression profiles in ectopic endometrium tissue from patients undergoing laparoscopy across early versus advanced endometriosis stages, compared with healthy controls sampled during hysteroscopy. Using RNA isolation followed by SYBR Green real-time PCR on a Qiagen array covering 84 miRNAs, the authors created three pooled samples (15 RNA samples per pool) and identified 32 differentially expressed miRNAs in early stage versus controls and 51 in advanced stage versus controls. They reported that three miRNAs showed the highest fold changes in both case groups and nominated them as potential biomarkers, with target gene analysis implicating apoptosis, angiogenesis, epithelial-mesenchymal transition, and other signaling pathways. The paper does not state an explicit limitation beyond the pooled design and array-based approach; the relevance is that it directly investigates miRNA alterations in ectopic endometrium across endometriosis stages, providing candidate biomarkers tied to disease mechanisms—centrally about endometriosis.

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Abstract

Endometriosis is a debilitating disease that affects up to 15% of women worldwide. Delayed diagnosis, lack of noninvasive biomarker and unexplained pathogenesis are key problems for specialists and patients alike. MiRNAs are a class of noncoding RNAs that regulate myriad of cellular functions. These gene expression regulators may prove to be attractive biomarkers with diagnostic and prognostic value for endometriosis. Tissue samples were collected from the participants enrolled in the study during laparoscopy (patients) and hysteroscopy (control group). After RNA isolation (miRNeasy MiniKit, Qiagen) based on the disease stage, three pools – each containing 15 RNA samples, were constructed: 1) early stage endometriosis, 2) late stage endometriosis, and 3) healthy controls. Each pool sample was subjected to reverse transcription via miScript II RT Kit, Qiagen to obtain cDNA. SYBR Green based Real-time PCR assay was used to determine the expression profile of 84 miRNAs (Human miFinder miRNA PCR Array, Qiagen). We detected 32 differently expressed miRNAs between early stage endometriosis and control group, and 51 differently expressed miRNAs between advanced stage endometriosis and control group. Three miRNAs were differentially expressed with more than 10-fold change in the early stage group and thn miRNAs showed more than 10-fold change in the advanced stages group. The three miRNAs with the highest fold change in the expression levels in both case groups were nominated as potential biomarkers for endometriosis. The results of the analysis of their target genes supports the role of deregulation of apoptosis, angiogenesis, epithelial-mesenchymal transition, and various other cellular signalling pathways in endometriosis development.
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MiRNA Expression Profiles in an Ectopic Endometrium of Patients at Different Stage of Endometriosis DOI: https://doi.org/10.7546/CRABS.2023.10.14Keywords: endometriosis, miRNA, expression analysis, biomarkerAbstract Endometriosis is a debilitating disease that affects up to 15% of women worldwide. Delayed diagnosis, lack of noninvasive biomarker and unexplained pathogenesis are key problems for specialists and patients alike. MiRNAs are a class of noncoding RNAs that regulate myriad of cellular functions. These gene expression regulators may prove to be attractive biomarkers with diagnostic and prognostic value for endometriosis. Tissue samples were collected from the participants enrolled in the study during laparoscopy (patients) and hysteroscopy (control group). After RNA isolation (miRNeasy MiniKit, Qiagen) based on the disease stage, three pools – each containing 15 RNA samples, were constructed: 1) early stage endometriosis, 2) late stage endometriosis, and 3) healthy controls. Each pool sample was subjected to reverse transcription via miScript II RT Kit, Qiagen to obtain cDNA. SYBR Green based Real-time PCR assay was used to determine the expression profile of 84 miRNAs (Human miFinder miRNA PCR Array, Qiagen). We detected 32 differently expressed miRNAs between early stage endometriosis and control group, and 51 differently expressed miRNAs between advanced stage endometriosis and control group. Three miRNAs were differentially expressed with more than 10-fold change in the early stage group and thn miRNAs showed more than 10-fold change in the advanced stages group. The three miRNAs with the highest fold change in the expression levels in both case groups were nominated as potential biomarkers for endometriosis. The results of the analysis of their target genes supports the role of deregulation of apoptosis, angiogenesis, epithelial-mesenchymal transition, and various other cellular signalling pathways in endometriosis development. Downloads Published How to Cite Issue Section License Copyright (c) 2023 Proceedings of the Bulgarian Academy of SciencesCopyright (c) 2022 Proceedings of the Bulgarian Academy of Sciences Copyright is subject to the protection of the Bulgarian Copyright and Associated Rights Act. The copyright holder of all articles on this site is Proceedings of the Bulgarian Academy of Sciences. If you want to reuse any part of the content, please, contact us.

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