Literature DB >> 34204705

In Silico Identification of miRNA-lncRNA Interactions in Male Reproductive Disorder Associated with COVID-19 Infection.

Soudabeh Sabetian1, Isabella Castiglioni2, Bahia Namavar Jahromi1,3, Pegah Mousavi4, Claudia Cava5.   

Abstract

Coronavirus disease 2019 (COVID-19), a global pandemic, is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Angiotensin-converting enzyme 2 (ACE2) is the receptor for SARS-CoV-2 and transmembrane serine protease 2 (TMPRSS2) facilitates ACE2-mediated virus entry. Moreover, the expression of ACE2 in the testes of infertile men is higher than normal, which indicates that infertile men may be susceptible to be infected and SARS-CoV-2 may cause reproductive disorder through the pathway induced by ACE2 and TMPRSS2. Little is known about the pathway regulation of ACE2 and TMPRSS2 expression in male reproductive disorder. Since the regulation of gene expression is mediated by microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) at the post-transcriptional level, the aim of this study was to analyze the dysregulated miRNA-lncRNA interactions of ACE2 and TMPRSS2 in male reproductive disorder. Using bioinformatics analysis, we speculate that the predicted miRNAs including miR-125a-5p, miR-125b-5p, miR-574-5p, and miR-936 as regulators of ACE2 and miR-204-5p as a modulator of TMPRSS2 are associated with male infertility. The lncRNAs with a tissue-specific expression for testis including GRM7-AS3, ARHGAP26-AS1, BSN-AS1, KRBOX1-AS1, CACNA1C-IT3, AC012361.1, FGF14-IT1, AC012494.1, and GS1-24F4.2 were predicted. The identified miRNAs and lncRNAs are proposed as potential biomarkers to study the possible association between COVID-19 and male infertility. This study encourages further studies of miRNA-lncRNA interactions to explain the molecular mechanisms of male infertility in COVID-19 patients.

Entities:  

Keywords:  COVID-19; interactions; lncRNA; male infertility; miRNA

Year:  2021        PMID: 34204705     DOI: 10.3390/cells10061480

Source DB:  PubMed          Journal:  Cells        ISSN: 2073-4409            Impact factor:   6.600


  7 in total

1.  The interplay between lncRNAs, RNA-binding proteins and viral genome during SARS-CoV-2 infection reveals strong connections with regulatory events involved in RNA metabolism and immune response.

Authors:  Francisco J Enguita; Ana Lúcia Leitão; J Tyson McDonald; Viktorija Zaksas; Saswati Das; Diego Galeano; Deanne Taylor; Eve Syrkin Wurtele; Amanda Saravia-Butler; Stephen B Baylin; Robert Meller; D Marshall Porterfield; Douglas C Wallace; Jonathan C Schisler; Christopher E Mason; Afshin Beheshti
Journal:  Theranostics       Date:  2022-05-09       Impact factor: 11.600

Review 2.  Tangled quest of post-COVID-19 infection-caused neuropathology and what 3P nano-bio-medicine can solve?

Authors:  Nadia M Hamdy; Fatma H Shaker; Xianquan Zhan; Emad B Basalious
Journal:  EPMA J       Date:  2022-06-02       Impact factor: 8.836

3.  Overexpression of lncRNA-Gm2044 in spermatogonia impairs spermatogenesis in partial seminiferous tubules.

Authors:  Ke Hu; Yuanyuan Gao; Yifan Xu; Chaofan He; Kaixian Wang; Leina Li; Yaping Liao; Xiaohua Liu; Meng Liang
Journal:  Poult Sci       Date:  2022-04-27       Impact factor: 4.014

Review 4.  miRNA expression in COVID-19.

Authors:  Kiarash Roustai Geraylow; Romina Hemmati; Sepideh Kadkhoda; Soudeh Ghafouri-Fard
Journal:  Gene Rep       Date:  2022-07-16

Review 5.  Assessing the suitability of long non-coding RNAs as therapeutic targets and biomarkers in SARS-CoV-2 infection.

Authors:  Yichen Zhong; Caroline L Ashley; Megan Steain; Sandro Fernandes Ataide
Journal:  Front Mol Biosci       Date:  2022-08-16

Review 6.  Therapeutic prospects of ceRNAs in COVID-19.

Authors:  Lin Liu; Yao Zhang; Yu Chen; Yueshui Zhao; Jing Shen; Xu Wu; Mingxing Li; Meijuan Chen; Xiaobing Li; Yuhong Sun; Li Gu; Wanping Li; Fang Wang; Lei Yao; Zhuo Zhang; Zhangang Xiao; Fukuan Du
Journal:  Front Cell Infect Microbiol       Date:  2022-09-20       Impact factor: 6.073

7.  Potential drugs against COVID-19 revealed by gene expression profile, molecular docking and molecular dynamic simulation.

Authors:  Claudia Cava; Gloria Bertoli; Isabella Castiglioni
Journal:  Future Virol       Date:  2021-07-20       Impact factor: 1.831

  7 in total

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