Polycystic ovary syndrome and epithelial-mesenchymal transition: Mendelian randomization and single-cell analysis insights

Abstract Background The process of epithelial-mesenchymal transition (EMT) may promote fibrosis in ovarian tissue related to polycystic ovary syndrome (PCOS), thus affecting ovarian function and hormonal balance. Objective This study aimed to explore key genes associated with EMT in PCOS and their p...

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Main Authors: Dong Liu, Dan Liu, Kunyan Zhou
Format: Article
Language:English
Published: BMC 2025-02-01
Series:Journal of Ovarian Research
Subjects:
Online Access:https://doi.org/10.1186/s13048-025-01617-2
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author Dong Liu
Dan Liu
Kunyan Zhou
author_facet Dong Liu
Dan Liu
Kunyan Zhou
author_sort Dong Liu
collection DOAJ
description Abstract Background The process of epithelial-mesenchymal transition (EMT) may promote fibrosis in ovarian tissue related to polycystic ovary syndrome (PCOS), thus affecting ovarian function and hormonal balance. Objective This study aimed to explore key genes associated with EMT in PCOS and their potential molecular regulatory mechanisms, exclusively from the perspective of transcriptomics and single-cell RNA sequencing (scRNA-seq), combined with Mendelian Randomization (MR) analysis. Methods The dataset for PCOS and EMT-related genes (EMT-RGs) were sourced from public databases. The key genes in this study were identified via differential expression analysis, MR, and evaluation of expression levels. Enrichment analysis and a series of functional analyses were conducted on these genes to further elucidate their potential mechanisms. Subsequently, using scRNA-seq data and validation of the expression of key genes, key cell group in PCOS were identified, followed by pseudo-time and cell communication analyses to provide deeper insights. Results Three key genes, NUCB2 [odds ratio (OR) = 0.8634, 95% confidence interval (CI): 0.8145–0.9152, P < 0.0001], PGF (OR = 0.8393, 95% CI: 0.7185–0.9805, P < 0.05), and CRIM1 (OR = 0.7539, 95% CI: 0.6556-0.670, P < 0.0001), were identified as having a unidirectional causal association with PCOS and were associated with a reduced risk of PCOS. In public datasets, NUCB2 exhibited significantly increased expression in PCOS samples, while PGF and CRIM1 showed the opposite trends. These three genes were enriched in pathways related to cellular functions, metabolic processes, and the operation of the nervous system, and they were co-expressed in smooth muscle. Additionally, five cell clusters were annotated, among which fibroblasts were identified as key cells due to their highest expression of all three key genes. Further analysis revealed a bifurcation event occurring during the mid-development stage of fibroblasts, with PCOS samples displaying a higher abundance of fibroblasts. In PCOS samples, fibroblasts exhibited more extensive communication with secretory epithelial cells, indicating a more complex intercellular interaction within this condition. Conclusion This study identified three EMT-RGs: NUCB2, PGF, and CRIM1, which were associated with a reduced risk of PCOS, with fibroblast identified as a key cell group in the disease’s pathology. This provides new insights for PCOS research.
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spelling doaj-art-3f4e7394e2784be3b0607d0c5f2b37552025-08-20T03:10:53ZengBMCJournal of Ovarian Research1757-22152025-02-0118112110.1186/s13048-025-01617-2Polycystic ovary syndrome and epithelial-mesenchymal transition: Mendelian randomization and single-cell analysis insightsDong Liu0Dan Liu1Kunyan Zhou2Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan UniversityKey Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of EducationDepartment of Obstetrics and Gynecology, West China Second University Hospital, Sichuan UniversityAbstract Background The process of epithelial-mesenchymal transition (EMT) may promote fibrosis in ovarian tissue related to polycystic ovary syndrome (PCOS), thus affecting ovarian function and hormonal balance. Objective This study aimed to explore key genes associated with EMT in PCOS and their potential molecular regulatory mechanisms, exclusively from the perspective of transcriptomics and single-cell RNA sequencing (scRNA-seq), combined with Mendelian Randomization (MR) analysis. Methods The dataset for PCOS and EMT-related genes (EMT-RGs) were sourced from public databases. The key genes in this study were identified via differential expression analysis, MR, and evaluation of expression levels. Enrichment analysis and a series of functional analyses were conducted on these genes to further elucidate their potential mechanisms. Subsequently, using scRNA-seq data and validation of the expression of key genes, key cell group in PCOS were identified, followed by pseudo-time and cell communication analyses to provide deeper insights. Results Three key genes, NUCB2 [odds ratio (OR) = 0.8634, 95% confidence interval (CI): 0.8145–0.9152, P < 0.0001], PGF (OR = 0.8393, 95% CI: 0.7185–0.9805, P < 0.05), and CRIM1 (OR = 0.7539, 95% CI: 0.6556-0.670, P < 0.0001), were identified as having a unidirectional causal association with PCOS and were associated with a reduced risk of PCOS. In public datasets, NUCB2 exhibited significantly increased expression in PCOS samples, while PGF and CRIM1 showed the opposite trends. These three genes were enriched in pathways related to cellular functions, metabolic processes, and the operation of the nervous system, and they were co-expressed in smooth muscle. Additionally, five cell clusters were annotated, among which fibroblasts were identified as key cells due to their highest expression of all three key genes. Further analysis revealed a bifurcation event occurring during the mid-development stage of fibroblasts, with PCOS samples displaying a higher abundance of fibroblasts. In PCOS samples, fibroblasts exhibited more extensive communication with secretory epithelial cells, indicating a more complex intercellular interaction within this condition. Conclusion This study identified three EMT-RGs: NUCB2, PGF, and CRIM1, which were associated with a reduced risk of PCOS, with fibroblast identified as a key cell group in the disease’s pathology. This provides new insights for PCOS research.https://doi.org/10.1186/s13048-025-01617-2Polycystic ovary syndromeEpithelial-mesenchymal transitionMendelian randomizationSingle-cell RNA sequencing
spellingShingle Dong Liu
Dan Liu
Kunyan Zhou
Polycystic ovary syndrome and epithelial-mesenchymal transition: Mendelian randomization and single-cell analysis insights
Journal of Ovarian Research
Polycystic ovary syndrome
Epithelial-mesenchymal transition
Mendelian randomization
Single-cell RNA sequencing
title Polycystic ovary syndrome and epithelial-mesenchymal transition: Mendelian randomization and single-cell analysis insights
title_full Polycystic ovary syndrome and epithelial-mesenchymal transition: Mendelian randomization and single-cell analysis insights
title_fullStr Polycystic ovary syndrome and epithelial-mesenchymal transition: Mendelian randomization and single-cell analysis insights
title_full_unstemmed Polycystic ovary syndrome and epithelial-mesenchymal transition: Mendelian randomization and single-cell analysis insights
title_short Polycystic ovary syndrome and epithelial-mesenchymal transition: Mendelian randomization and single-cell analysis insights
title_sort polycystic ovary syndrome and epithelial mesenchymal transition mendelian randomization and single cell analysis insights
topic Polycystic ovary syndrome
Epithelial-mesenchymal transition
Mendelian randomization
Single-cell RNA sequencing
url https://doi.org/10.1186/s13048-025-01617-2
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