Literature DB >> 30052945

Characterization of long non-coding RNA and messenger RNA profiles in follicular fluid from mature and immature ovarian follicles of healthy women and women with polycystic ovary syndrome.

Jiao Jiao1, Bei Shi2, Tianren Wang3, Yuanyuan Fang1, Tiefeng Cao3, Yiming Zhou4, Xiuxia Wang1, Da Li1.   

Abstract

STUDY QUESTION: Do long non-coding RNA (lncRNA) and messenger RNA (mRNA) profiles in follicular fluid from mature and immature ovarian follicles differ between healthy women and women with polycystic ovary syndrome (PCOS)? SUMMARY ANSWER: lncRNA and mRNA profiles in follicular fluid from both mature and immature ovarian follicles differed significantly between healthy women and PCOS patients. WHAT IS KNOWN ALREADY: Unlike microRNAs, which have been extensively studied, lncRNAs present in follicular fluid have never been sequenced and the biological associations of lncRNAs in healthy follicles and follicles in women who develop PCOS remain largely unknown. STUDY DESIGN, SIZE, DURATION: A total of 18 subjects (8 controls and 10 PCOS patients) were recruited to participate in this study. Recruitment took place from May 2016 to September 2016. PARTICIPANTS/MATERIALS, SETTING,
METHODS: The follicular fluid donors underwent their first round of in-vitro fertilization treatment. Follicle size was determined based on the average follicular diameter, and follicular fluid samples were collected from mature follicles (17-22 mm) and matched-immature follicles (8-13 mm). RNA sequencing was performed on follicular fluids from mature and immature follicles of healthy women and PCOS patients. MAIN RESULTS AND THE ROLE OF CHANCE: A total of 1583 novel lncRNAs were identified in 36 human follicular fluid samples and some were expressed differently in healthy and PCOS women. lncRNAs associated with the metabolic process were highly enriched in the follicular fluid of mature follicles from the PCOS group versus the healthy group. In the PCOS group, nervous system process lncRNAs were highly enriched in the follicular fluid of mature versus immature follicles, whereas in the healthy group, lncRNAs associated with junction adhesion and communication-related processes were highly enriched in the follicular fluid of mature versus immature follicles. In addition, differentially expressed mRNAs were principally linked to olfactory transduction pathways. Consistent results from Gene Set Enrichment Analysis (GSEA) and Gene Ontology (GO) indicated that telomere maintenance and MAPK and Wnt pathways may be conserved processes, active in follicular development, and monosaccharide biosynthesis might provide possible pathway markers to distinguish between normal and PCOS follicles. We constructed gene co-expression networks that identified many co-regulatory relationships among follicular fluid lncRNAs, mRNAs, and PCOS phenotypes. Weighted Gene Co-expression Network Analysis (WGCNA) revealed lncRNAs and mRNAs that were core and others associated with the PCOS phenotype. LIMITATIONS, REASONS FOR CAUTION: It remains unclear whether these differential transcripts contribute directly to follicular development or the pathogenesis of PCOS, or are merely biomarkers. WIDER IMPLICATIONS OF THE
FINDINGS: It will be important in the future for investigators to ascertain the biologic mechanisms underlying the development of both normal and PCOS follicles. STUDY FUNDING/COMPETING INTEREST(S): This work was supported by the National Natural Science Foundation of China (No. 81671423, No. 81402130 and No. 81501247), the Fok Ying Tung Education Foundation (No. 151039), and Distinguished Talent Program of Shengjing Hospital (No. ME76). No competing interests declared.

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Year:  2018        PMID: 30052945     DOI: 10.1093/humrep/dey255

Source DB:  PubMed          Journal:  Hum Reprod        ISSN: 0268-1161            Impact factor:   6.918


  28 in total

1.  Long non-coding RNA TUG1 and its molecular mechanisms in polycystic ovary syndrome.

Authors:  Ying Li; Jun Zhang; Yu-Dong Liu; Xing-Yu Zhou; Xin Chen; Jing Zhe; Qing-Yan Zhang; Xiao-Fei Zhang; Ying-Xue Chen; Zhe Wang; Shi-Ling Chen
Journal:  RNA Biol       Date:  2020-07-02       Impact factor: 4.652

2.  Novel Hub genes co-expression network mediates dysfunction in a model of polycystic ovary syndrome.

Authors:  Sujuan Xi; Weihao Li; Zaiyi Li; Wenjing Lin; Lin Chen; Chengzi Tian; Yazhu Yang; Lin Ma
Journal:  Am J Transl Res       Date:  2022-03-15       Impact factor: 4.060

Review 3.  Multiomics Analysis-Based Biomarkers in Diagnosis of Polycystic Ovary Syndrome.

Authors:  Shikha Rani; Piyush Chandna
Journal:  Reprod Sci       Date:  2022-01-27       Impact factor: 3.060

4.  Long Non-Coding RNA GDAR Regulates Ovine Granulosa Cells Apoptosis by Affecting the Expression of Apoptosis-Related Genes.

Authors:  Yong Wang; Yunxia Guo; Chunhui Duan; Ruochen Yang; Lechao Zhang; Yueqin Liu; Yingjie Zhang
Journal:  Int J Mol Sci       Date:  2022-05-06       Impact factor: 6.208

5.  Identification of novel candidate biomarkers and immune infiltration in polycystic ovary syndrome.

Authors:  Zhijing Na; Wen Guo; Jiahui Song; Di Feng; Yuanyuan Fang; Da Li
Journal:  J Ovarian Res       Date:  2022-07-06       Impact factor: 5.506

Review 6.  Polycystic Ovary Syndrome: the Epigenetics Behind the Disease.

Authors:  Matheus Credendio Eiras; Daniel Pascoalino Pinheiro; Kalil Andrade Mubarac Romcy; Rui Alberto Ferriani; Rosana Maria Dos Reis; Cristiana Libardi Miranda Furtado
Journal:  Reprod Sci       Date:  2021-04-07       Impact factor: 3.060

7.  Ovarian aging increases small extracellular vesicle CD81+ release in human follicular fluid and influences miRNA profiles.

Authors:  Rosalia Battaglia; Paolo Musumeci; Marco Ragusa; Davide Barbagallo; Marina Scalia; Massimo Zimbone; Josè Maria Lo Faro; Placido Borzì; Paolo Scollo; Michele Purrello; Elena Maria Vento; Cinzia Di Pietro
Journal:  Aging (Albany NY)       Date:  2020-06-17       Impact factor: 5.682

8.  Human follicular fluid shows diverse metabolic profiles at different follicle developmental stages.

Authors:  Jihong Yang; Ting Feng; Suying Li; Xinyue Zhang; Yun Qian
Journal:  Reprod Biol Endocrinol       Date:  2020-07-23       Impact factor: 5.211

9.  Comprehensive analysis of differentially expressed long non-coding RNAs in non-small cell lung cancer.

Authors:  Wenyong Zhou; Tao Liu; Gaowa Saren; Li Liao; Wentao Fang; Heng Zhao
Journal:  Oncol Lett       Date:  2019-05-30       Impact factor: 2.967

Review 10.  Regulation of Glucose and Lipid Metabolism by Long Non-coding RNAs: Facts and Research Progress.

Authors:  Tie-Ning Zhang; Wei Wang; Ni Yang; Xin-Mei Huang; Chun-Feng Liu
Journal:  Front Endocrinol (Lausanne)       Date:  2020-07-16       Impact factor: 5.555

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