Literature DB >> 29193229

Identification of microRNAs and genes associated with hyperandrogenism in the follicular fluid of women with polycystic ovary syndrome.

Yunping Xue1, Juan Lv2, Pengfei Xu3, Lin Gu4, Jian Cao2, Lingling Xu4, Kai Xue3, Qian Li3.   

Abstract

Polycystic ovary syndrome (PCOS) is a common reproductive endocrine disease, which is characterized by hyperandrogenism (HA), chronic anovulation, polycystic ovaries, insulin resistance, and obesity. At present, the mechanism by which PCOS/HA occurs has not been fully elucidated, thus, the mechanisms behind and interventions for HA in PCOS are current hot topics in research. MiRNAs have recently been shown to serve as diagnostic or prognostic biomarkers in patients with cancer. Thus, we are currently focused on studying the altered expression of miRNAs in follicular fluid and their correlation with HA in PCOS. Illumina deep sequencing technology was used to explore different miRNAs in the follicular fluid of women with PCOS/HA and in the follicular fluid of women in a control group. Target prediction databases were then used to analyse the target genes of different expressed miRNAs, and GO analysis and the KEGG pathway database were used to identify the functions and the main biochemical and signalling pathways of differentially expressed target genes. The expression levels of 263 miRNAs were significantly different (>2-fold up-regulated or <0.5-fold down-regulated, P < 0.05) between the two groups of women. For example, the expression levels of miRNA (200a-3p, 10b-3p, 200b-3p, 29c-3p, 99a-3p, and 125a-5p) were significantly increased, while there was a decreased expression of miR-105-3p in PCOS patients with respect to the control. Literature has shown that the above seven miRNAs were associated with HA in PCOS. Furthermore, 31 770 genes were predicted to be targets of the 263 differentially expressed microRNAs. GO analysis and the KEGG pathway database showed involvement of these target genes in HA in PCOS. These results suggest the presence of differentially expressed miRNAs in the follicular fluid of women with PCOS/HA versus women in the control group. The potential role of these microRNAs was elucidated using bioinformatics tools and was found to be involved in the regulation of different pathways, biological functions, and cellular components underlying PCOS. The results of this research may reveal new mechanisms of PCOS/HA and suggest potential treatment targets.
© 2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  MiRNA-chip; PCOS; deep sequencing; hyperandrogenism

Mesh:

Substances:

Year:  2018        PMID: 29193229     DOI: 10.1002/jcb.26531

Source DB:  PubMed          Journal:  J Cell Biochem        ISSN: 0730-2312            Impact factor:   4.429


  17 in total

Review 1.  Extracellular microRNA profiling in human follicular fluid: new biomarkers in female reproductive potential.

Authors:  Maryam Qasemi; Fardin Amidi
Journal:  J Assist Reprod Genet       Date:  2020-07-09       Impact factor: 3.412

2.  Similar miRNomic signatures characterize the follicular fluids collected after follicular and luteal phase stimulations in the same ovarian cycle.

Authors:  Danilo Cimadomo; Ramona Carmelo; Elvira Immacolata Parrotta; Stefania Scalise; Gianluca Santamaria; Erminia Alviggi; Maria Teresa De Angelis; Gianmarco Sarro; Alberto Vaiarelli; Roberta Venturella; Laura Rienzi; Fulvio Zullo; Filippo Maria Ubaldi; Giovanni Cuda
Journal:  J Assist Reprod Genet       Date:  2019-11-07       Impact factor: 3.412

Review 3.  Ovarian and Extra-Ovarian Mediators in the Development of Polycystic Ovary Syndrome.

Authors:  Muraly Puttabyatappa; Vasantha Padmanabhan
Journal:  J Mol Endocrinol       Date:  2018-10-16       Impact factor: 5.098

4.  CIRCULATING MIR-132, MIR-146A, MIR-222, AND MIR-320 EXPRESSION IN DIFFERENTIAL DIAGNOSIS OF WOMEN WITH POLYCYSTIC OVARY SYNDROME.

Authors:  Z Soyman; S Durmus; S Ates; G Simsek; V Sozer; B P Kundaktepe; D Kurtulus; R Gelisgen; V Sal; H Uzun
Journal:  Acta Endocrinol (Buchar)       Date:  2022 Jan-Mar       Impact factor: 1.104

5.  Follicular Fluid-Derived Exosomal MicroRNA-18b-5p Regulates PTEN-Mediated PI3K/Akt/mTOR Signaling Pathway to Inhibit Polycystic Ovary Syndrome Development.

Authors:  Zhi Zhou; Zhihua Tu; Juan Zhang; Can Tan; Xiaoyong Shen; Bangbei Wan; Yejuan Li; Anguo Wang; Liqiang Zhao; Jiajia Hu; Ning Ma; Jing Zhou; Lin Chen; Yanqin Song; Weiying Lu
Journal:  Mol Neurobiol       Date:  2022-01-29       Impact factor: 5.682

6.  Association of miRNA - 320 expression level and its target gene endothelin-1 with the susceptibility and clinical features of polycystic ovary syndrome.

Authors:  Nearmeen M Rashad; Marwa Abdel-Monem Ateya; Yasser S Saraya; Walid Mohamed Elnagar; Khaled Fathy Helal; Mohamed El-Bakry Lashin; Amr Ahmed Abdelrhman; Ayman E Alil; Mohammed S Yousef
Journal:  J Ovarian Res       Date:  2019-05-07       Impact factor: 4.234

7.  The Predictive Value of miR-16, -29a and -134 for Early Identification of Gestational Diabetes: A Nested Analysis of the DALI Cohort.

Authors:  Anja Elaine Sørensen; Mireille N M van Poppel; Gernot Desoye; Peter Damm; David Simmons; Dorte Møller Jensen; Louise Torp Dalgaard
Journal:  Cells       Date:  2021-01-15       Impact factor: 6.600

Review 8.  Non-coding RNAs in polycystic ovary syndrome: a systematic review and meta-analysis.

Authors:  Liangshan Mu; Xiaoting Sun; Mixue Tu; Dan Zhang
Journal:  Reprod Biol Endocrinol       Date:  2021-01-14       Impact factor: 5.211

9.  Extracellular microRNAs profile in human follicular fluid and IVF outcomes.

Authors:  Rosie M Martinez; Liming Liang; Catherine Racowsky; Laura Dioni; Abdallah Mansur; Michal Adir; Valentina Bollati; Andrea A Baccarelli; Russ Hauser; Ronit Machtinger
Journal:  Sci Rep       Date:  2018-11-19       Impact factor: 4.379

10.  Study of the Association Between microRNA (miR-25T>C, miR-32C>A, miR-125C>T, and miR-222G>T) Polymorphisms and the Risk of Recurrent Pregnancy Loss in Korean Women.

Authors:  Jeong Yong Lee; Jung Oh Kim; Han Sung Park; Chang Soo Ryu; Ji Hyang Kim; Young Ran Kim; Woo Sik Lee; Jung Ryeol Lee; Nam Keun Kim
Journal:  Genes (Basel)       Date:  2020-03-26       Impact factor: 4.096

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