Exploring lncRNA expression in follicular fluid exosomes of patients with obesity and polycystic ovary syndrome based on high-throughput sequencing technology

Abstract Background Infertility is a reproductive health problem that attracts worldwide attention. Polycystic ovary syndrome (PCOS) is a major cause of female infertility and patients with obesity and PCOS are particularly common in clinical practice. Long non-coding RNA (lncRNAs) are a functional...

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Main Authors: Xin Xin, Li Dong, Jiaxi Li, Wen Chen, Yue Qiu, Fang Lian, Haicui Wu
Format: Article
Language:English
Published: BMC 2024-11-01
Series:Journal of Ovarian Research
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Online Access:https://doi.org/10.1186/s13048-024-01552-8
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author Xin Xin
Li Dong
Jiaxi Li
Wen Chen
Yue Qiu
Fang Lian
Haicui Wu
author_facet Xin Xin
Li Dong
Jiaxi Li
Wen Chen
Yue Qiu
Fang Lian
Haicui Wu
author_sort Xin Xin
collection DOAJ
description Abstract Background Infertility is a reproductive health problem that attracts worldwide attention. Polycystic ovary syndrome (PCOS) is a major cause of female infertility and patients with obesity and PCOS are particularly common in clinical practice. Long non-coding RNA (lncRNAs) are a functional core in cells that regulate gene expression, transcription, and chromatin modification processes, and participate in epigenetics, cell cycle, and cell differentiation. LncRNAs are assumed to play a role in the occurrence and development of PCOS; however, their specific mechanism of action remains to be elucidated. Methods High-throughput sequencing technology has been used to sequence and analyze lncRNAs in exosomes from the follicular fluid of patients with obesity and PCOS and those who underwent assisted reproductive therapy owing to male factors. Specific expression profiles of patients with obesity and PCOS were obtained and functional information analysis combined with a literature review were performed to screen for differentially expressed lncRNAs, which were validated using real-time reverse transcription quantitative polymerase chain reaction (RT-qPCR). Results High-throughput sequencing analysis revealed that compared to normal patients with male infertility, patients with obesity and PCOS had a total of 20 lncRNAs with significant expression differences in follicular fluid exosomes. Among them, 17 lncRNAs were upregulated and three were downregulated. Functional analysis showed that differentially expressed genes were mainly enriched in “cell metabolism,” “cell adhesion,” and other aspects: related gene pathways mainly involved Huntington’s disease, Parkinson’s disease, spliceosomes, non-alcoholic fatty liver disease, and ribosomes. Verification of differentially expressed lncRNAs revealed that the expression of lncRNAs TPT1-AS1, PTOV1-AS1, PTPRG-AS1, and SNHG14 in follicular fluid exosomes was consistent with the sequencing results. Conclusion A preliminary differential expression profile of lncRNAs in exosomes of patients with obesity and PCOS was established by transcriptomic analysis of these individuals. Our bioinformatics analysis results may be applicable to further study of the impact mechanism involving obesity and PCOS. These differentially expressed lncRNAs maybe served as potential biomarkers for in-depth studies of the occurrence, development on Follicle quality and function for patients with PCOS in the future.
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spelling doaj-art-93d40723b50b4e2da5e8d50de3021be52024-11-17T12:42:18ZengBMCJournal of Ovarian Research1757-22152024-11-0117111310.1186/s13048-024-01552-8Exploring lncRNA expression in follicular fluid exosomes of patients with obesity and polycystic ovary syndrome based on high-throughput sequencing technologyXin Xin0Li Dong1Jiaxi Li2Wen Chen3Yue Qiu4Fang Lian5Haicui Wu6First School of Clinical Medicine, Shandong University of Traditional Chinese MedicineFirst School of Clinical Medicine, Shandong University of Traditional Chinese MedicineShandong Wendeng Osteopathic HospitalFirst School of Clinical Medicine, Shandong University of Traditional Chinese MedicineAffiliated Hospital of Shandong University of Traditional Chinese MedicineAffiliated Hospital of Shandong University of Traditional Chinese MedicineAffiliated Hospital of Shandong University of Traditional Chinese MedicineAbstract Background Infertility is a reproductive health problem that attracts worldwide attention. Polycystic ovary syndrome (PCOS) is a major cause of female infertility and patients with obesity and PCOS are particularly common in clinical practice. Long non-coding RNA (lncRNAs) are a functional core in cells that regulate gene expression, transcription, and chromatin modification processes, and participate in epigenetics, cell cycle, and cell differentiation. LncRNAs are assumed to play a role in the occurrence and development of PCOS; however, their specific mechanism of action remains to be elucidated. Methods High-throughput sequencing technology has been used to sequence and analyze lncRNAs in exosomes from the follicular fluid of patients with obesity and PCOS and those who underwent assisted reproductive therapy owing to male factors. Specific expression profiles of patients with obesity and PCOS were obtained and functional information analysis combined with a literature review were performed to screen for differentially expressed lncRNAs, which were validated using real-time reverse transcription quantitative polymerase chain reaction (RT-qPCR). Results High-throughput sequencing analysis revealed that compared to normal patients with male infertility, patients with obesity and PCOS had a total of 20 lncRNAs with significant expression differences in follicular fluid exosomes. Among them, 17 lncRNAs were upregulated and three were downregulated. Functional analysis showed that differentially expressed genes were mainly enriched in “cell metabolism,” “cell adhesion,” and other aspects: related gene pathways mainly involved Huntington’s disease, Parkinson’s disease, spliceosomes, non-alcoholic fatty liver disease, and ribosomes. Verification of differentially expressed lncRNAs revealed that the expression of lncRNAs TPT1-AS1, PTOV1-AS1, PTPRG-AS1, and SNHG14 in follicular fluid exosomes was consistent with the sequencing results. Conclusion A preliminary differential expression profile of lncRNAs in exosomes of patients with obesity and PCOS was established by transcriptomic analysis of these individuals. Our bioinformatics analysis results may be applicable to further study of the impact mechanism involving obesity and PCOS. These differentially expressed lncRNAs maybe served as potential biomarkers for in-depth studies of the occurrence, development on Follicle quality and function for patients with PCOS in the future.https://doi.org/10.1186/s13048-024-01552-8Polycystic ovary syndromeLncRNAExosomeHigh throughput sequencingObesity
spellingShingle Xin Xin
Li Dong
Jiaxi Li
Wen Chen
Yue Qiu
Fang Lian
Haicui Wu
Exploring lncRNA expression in follicular fluid exosomes of patients with obesity and polycystic ovary syndrome based on high-throughput sequencing technology
Journal of Ovarian Research
Polycystic ovary syndrome
LncRNA
Exosome
High throughput sequencing
Obesity
title Exploring lncRNA expression in follicular fluid exosomes of patients with obesity and polycystic ovary syndrome based on high-throughput sequencing technology
title_full Exploring lncRNA expression in follicular fluid exosomes of patients with obesity and polycystic ovary syndrome based on high-throughput sequencing technology
title_fullStr Exploring lncRNA expression in follicular fluid exosomes of patients with obesity and polycystic ovary syndrome based on high-throughput sequencing technology
title_full_unstemmed Exploring lncRNA expression in follicular fluid exosomes of patients with obesity and polycystic ovary syndrome based on high-throughput sequencing technology
title_short Exploring lncRNA expression in follicular fluid exosomes of patients with obesity and polycystic ovary syndrome based on high-throughput sequencing technology
title_sort exploring lncrna expression in follicular fluid exosomes of patients with obesity and polycystic ovary syndrome based on high throughput sequencing technology
topic Polycystic ovary syndrome
LncRNA
Exosome
High throughput sequencing
Obesity
url https://doi.org/10.1186/s13048-024-01552-8
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