Integrated bioinformatic analysis of dysregulated <scp>microRNA‐mRNA</scp> co‐expression network in ovarian endometriosis

Liu, Yong; Fan, Linyuan; Jin, Lingge; Lu, Chang; Li, Ting; Zhang, Zhan; Xie, Chengmao; Li, Shenghui; Zhang, Yudi; Ren, Jian; Lü, Dan

doi:10.1111/aogs.14430

Cited by 4 publications

(1 citation statement)

References 73 publications

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“…A recent study found that the decrease of miR-363-3p in obese people with metabolic syndrome was associated with the increase of serum cholesterol [ 13 ]. Liu et al found that there were abnormal expressions of five miRNAs in ovarian endometriosis, including miR-363-3p, and their expression in ectopic endometrium group was significantly reduced compared with normal endometrium tissue [ 14 ]. Another study showed that the expression of miR-363-3p in plasma exosomes was inconsistent between PCOS patients and healthy people, showing a downregulation trend in the PCOS group [ 15 ].…”

Section: Introductionmentioning

confidence: 99%

Differential expression of serum mir-363-3p in patients with polycystic ovary syndrome and its predictive value for their pregnancy

Sang

Zhou

et al. 2023

BMC Women's Health

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Background This study aimed to investigate the expression of serum miR-363-3p in patients with polycystic ovary syndrome (PCOS) and its predictive value for pregnancy after ovulation induction therapy. Methods The expression of serum miR-363-3p was detected by Reverse transcription quantitative polymerase chain reaction (RT-qPCR). PCOS patients were treated with ovulation induction therapy, and after the successful pregnancy was confirmed, they were followed up for 1 year in outpatient department to record the pregnancy outcomes of the patients. The Pearson correlation coefficient was used to evaluate the correlation between the expression level of miR-363-3p and biochemical indicators of PCOS patients. Logistic regression analysis was used to analyze the risk factors of pregnancy failure after ovulation induction therapy. Results The serum level of miR-363-3p in PCOS group was significantly lower than that in control group. Compared with the control group, both pregnant and non-pregnant groups had lower miR-363-3p levels, while the non-pregnant group had a greater reduction in miR-363-3p levels than the pregnant group. Low levels of miR-363-3p showed high accuracy in distinguishing pregnant and non-pregnant patients. Logistic regression analysis showed that high levels of luteinizing hormone, testosterone (T), prolactin (PRL) and low level of miR-363-3p were independent risk factors for pregnancy failure after ovulation induction in PCOS patients. Additionally, compared with pregnancy outcomes of healthy women, the incidence of premature delivery, macrosomia, and gestational diabetes in PCOS patients increased. Conclusions The expression of miR-363-3p in PCOS patients was reduced and correlated with abnormal hormone levels, suggesting that miR-363-3p may be involved in the occurrence and development of PCOS.

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Section: Introductionmentioning

confidence: 99%

Differential expression of serum mir-363-3p in patients with polycystic ovary syndrome and its predictive value for their pregnancy

Sang

Zhou

et al. 2023

BMC Women's Health

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miRNA profiling of chicken follicles during follicular development

Xu,

Liu,

Ning

et al. 2024

Sci Rep

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MicroRNAs (miRNAs) play a crucial role as transcription regulators in various aspects of follicular development, including steroidogenesis, ovulation, apoptosis, and gene regulation in poultry. However, there is a paucity of studies examining the specific impact of miRNAs on ovarian granulosa cells (GCs) across multiple grades in laying hens. Consequently, this study aims to investigate the roles of miRNAs in chicken GCs. By constructing miRNA expression profiles of GCs at 10 different time points, encompassing 4 pre-hierarchical, 5 preovulatory, and 1 postovulatory follicles stage, we identified highly expressed miRNAs involved in GC differentiation (miR-148a-3p, miR-143-3p), apoptosis (let7 family, miR-363-3p, miR-30c-5p, etc.), and autophagy (miR-128-3p, miR-21-5p). Furthermore, we discovered 48 developmentally dynamic miRNAs (DDMs) that target 295 dynamic differentially expressed genes (DDGs) associated with follicular development and selection (such as oocyte meiosis, progesterone-mediated oocyte maturation, Wnt signaling pathway, TGF-β signaling pathway) as well as follicular regression (including autophagy and cellular senescence). These findings contribute to a more comprehensive understanding of the intricate mechanisms underlying follicle recruitment, selection, and degeneration, aiming to enhance poultry’s reproductive capacity.

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Integrated bioinformatic analysis of dysregulated microRNA‐mRNA co‐expression network in ovarian endometriosis

Liu

Fan

Jin

et al. 2022

Acta Obstet Gynecol Scand

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Introduction:Ovarian endometriosis is a frequently occurring gynecological disease with large socioeconomic impact. Accumulating evidence has suggested that aberrant miRNA-mRNA interactions are involved in the pathogenesis and progression of ovarian endometriosis. This study aims to identify key miRNAs in ovarian endometriosis by using integrated bioinformatic analysis of a dysregulated miRNA-mRNA coexpression network.Material and methods: Expression profiling of miRNA and mRNA in three normal endometria and five pairs of ectopic/eutopic endometria from patients with ovarian endometriosis was determined by high-throughput sequencing techniques. The data were then integrated with the public sequencing datasets (GSE105764 and GSE105765) using a non-biased approach and a miRNA-mRNA co-expression regulatory network was constructed by in-depth bioinformatic analysis. Results:The constructed miRNA-mRNA network included 87 functionally DEMs, 482 target mRNAs and 1850 paired miRNA-mRNA regulatory interactions. Specifically, five miRNAs (miR-141-3p, miR-363-3p, miR-577, miR-767-5p, miR-96-5p) were gradually decreased and two miRNAs (miR-493-5p, miR-592) were gradually increased from normal endometria to eutopic endometria, and then ectopic endometria tissues.Importantly, miR-141-3p, miR-363-3p and miR-96-5p belonged to the miR-200 family, miR-106a-363 cluster and miR-183/96/182 cluster, respectively. Their target mRNAs were mainly associated with cell adhesion, locomotion and binding, which are suggested to play vital regulatory roles in the pathogenesis of ovarian endometriosis. Conclusions: Integrated bioinformatic analysis of the miRNA-mRNA co-expression network defines the crucial roles of the miR-200 family, miR-106a-363 cluster and miR-183/96/182 cluster in the pathogenesis of ovarian endometriosis. Further indepth functional studies are needed to unveil the molecular mechanisms of these | 1075 LIU et aL.

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Integrated bioinformatic analysis of dysregulated microRNA‐mRNA co‐expression network in ovarian endometriosis

Cited by 4 publications

References 73 publications

Differential expression of serum mir-363-3p in patients with polycystic ovary syndrome and its predictive value for their pregnancy

Differential expression of serum mir-363-3p in patients with polycystic ovary syndrome and its predictive value for their pregnancy

miRNA profiling of chicken follicles during follicular development

Integrated bioinformatic analysis of dysregulated microRNA‐mRNA co‐expression network in ovarian endometriosis

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