Literature DB >> 26863388

MicroRNA indicators of follicular steroidogenesis.

F X Donadeu, S D Sontakke, J Ioannidis.   

Abstract

MicroRNAs (miRNAs) can provide useful biomarkers of tissue function. The aim of the present study was to determine, in bovine follicles (n = 66; diameter 4-22 mm), the relationship among several indices of steroidogenesis and levels of 15 miRNAs previously identified to be associated with follicle development. Oestradiol levels, the oestradiol : progesterone (E : P) ratio and cytochrome P450 family 19 subfamily A member 1 (CYP19A1) expression were strongly correlated with each other (ρ > 0.8) and with LH/choriogonadotropin receptor (LHCGR) expression (ρ ≥ 0.6; P < 0.01). Levels of nine different miRNAs in the follicular wall were correlated (P < 0.01) with oestradiol, the E : P ratio and CYP19A1, with miR-873 showing the strongest correlation in each case (ρ > 0.7). Analyses of follicular fluid miRNAs identified miR-202 as correlated with oestradiol, the E : P ratio and CYP19A1 (ρ > 0.5; P < 0.01). When considering all follicle end-points together, we found that using a cut-off value of E : P = 1 overestimated the number of oestrogen-inactive follicles, whereas using CYP19A1 as a classifier provided a clearer separation of follicle samples based on oestrogen activity, in agreement with the E : P ratio, LHCGR expression and levels of miR-873 and miR-202. In conclusion, we identified miR-873 and miR-202 as miRNAs whose levels in follicular tissues can be used as indicators of steroidogenic capacity in bovine. We showed that these or other gene expression parameters, in addition or alternatively to the E : P ratio, should be used to accurately classify follicles based on steroidogenic capacity.

Entities:  

Year:  2016        PMID: 26863388     DOI: 10.1071/RD15282

Source DB:  PubMed          Journal:  Reprod Fertil Dev        ISSN: 1031-3613            Impact factor:   2.311


  6 in total

1.  MiR-873-5p regulated LPS-induced oxidative stress via targeting heme oxygenase-1 (HO-1) in KGN cells.

Authors:  Hui Zhang; Zhengnan Gao; Yanjie Zhang; Huihui Wang; Yongfeng Li
Journal:  RSC Adv       Date:  2018-11-22       Impact factor: 4.036

2.  Analysis of the miRNA Expression Profiles in the Zearalenone-Exposed TM3 Leydig Cell Line.

Authors:  Mingyang Wang; Weiwei Wu; Lin Li; Jianbin He; Sheng Huang; Si Chen; Jia Chen; Miao Long; Shuhua Yang; Peng Li
Journal:  Int J Mol Sci       Date:  2019-02-01       Impact factor: 5.923

3.  Transactivation of miR-202-5p by Steroidogenic Factor 1 (SF1) Induces Apoptosis in Goat Granulosa Cells by Targeting TGFβR2.

Authors:  Qiang Ding; Miaohan Jin; Yaoyue Wang; Jiao Liu; Peter Kalds; Ying Wang; Yuxin Yang; Xiaolong Wang; Yulin Chen
Journal:  Cells       Date:  2020-02-14       Impact factor: 6.600

4.  Reporting on the Role of miRNAs and Affected Pathways on the Molecular Backbone of Ovarian Insufficiency: A Systematic Review and Critical Analysis Mapping of Future Research.

Authors:  Anna Rapani; Dimitra Nikiforaki; Dimitra Karagkouni; Konstantinos Sfakianoudis; Petroula Tsioulou; Sokratis Grigoriadis; Evangelos Maziotis; Amelia Pantou; Aikaterini Voutsina; Agni Pantou; Michael Koutsilieris; Artemis Hatzigeorgiou; Konstantinos Pantos; Mara Simopoulou
Journal:  Front Cell Dev Biol       Date:  2021-01-12

5.  MicroRNA-574 Impacts Granulosa Cell Estradiol Production via Targeting TIMP3 and ERK1/2 Signaling Pathway.

Authors:  Bo Pan; Xiaoshu Zhan; Julang Li
Journal:  Front Endocrinol (Lausanne)       Date:  2022-06-23       Impact factor: 6.055

6.  Effect and Related Mechanism of Platelet-Rich Plasma on the Osteogenic Differentiation of Human Adipose-Derived Stem Cells.

Authors:  Jufang Chen; Yuanyuan Zhang; Mingjin Liu; Zongyuan Zhou; Qianwen Li; Tianjiao Huang; Yang Yue; Yulou Tian
Journal:  Biomed Res Int       Date:  2022-08-08       Impact factor: 3.246

  6 in total

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