Literature DB >> 33494070

RNA interactions in right ventricular dysfunction induced type II cardiorenal syndrome.

Kaitong Chen1, Xiaoxia Huang1, Dongxiao Xie1, Mengjia Shen1, Hairuo Lin1, Yingqi Zhu1, Siyuan Ma1, Cankun Zheng1, Lu Chen1, Yameng Liu1, Wangjun Liao2, Jianping Bin1, Yulin Liao1,3.   

Abstract

Right ventricular (RV) dysfunction induced type II cardiorenal syndrome (CRS) has a high mortality rate, but little attention has been paid to this disease, and its unique molecular characteristics remain unclear. This study aims to investigate the transcriptomic expression profile in this disease and identify key RNA pairs that regulate related molecular signaling networks. We established an RV dysfunction-induced type II CRS mouse model by pulmonary artery constriction (PAC). PAC mice developed severe RV hypertrophy and fibrosis; renal atrophy and dysfunction with elevated creatinine were subsequently observed. Expression profiles in RV and kidney tissues were obtained by whole transcriptome sequencing, revealing a total of 741 and 86 differentially expressed (DE) mRNAs, 159 and 29 DEmiRNAs and 233 and 104 DEcircRNAs between RV and kidney tissue, respectively. Competing endogenous RNA (ceRNA) networks were established. A significant alteration in proliferative, fibrotic and metabolic pathways was found based on GO and KEGG analyses, and the network revealed key ceRNA pairs, such as novel_circ_002631/miR-181a-5p/Creb1 and novel_circ_002631/miR-33-y/Kpan6. These findings indicate that significantly dysregulated pathways in RV dysfunction induced type II CRS include Ras, PI3K/Akt, cGMP-PKG pathways, and thyroid metabolic pathways. These ceRNA pairs can be considered potential targets for the treatment of type II CRS.

Entities:  

Keywords:  cardiac remodeling; cardiorenal syndrome; co-expression network; right ventricular dysfunction; whole transcriptome sequencing

Year:  2021        PMID: 33494070     DOI: 10.18632/aging.202385

Source DB:  PubMed          Journal:  Aging (Albany NY)        ISSN: 1945-4589            Impact factor:   5.682


  3 in total

1.  Identification and external validation of the hub genes associated with cardiorenal syndrome through time-series and network analyses.

Authors:  Jingjing Liang; Xiaohui Huang; Weiwen Li; Yunzhao Hu
Journal:  Aging (Albany NY)       Date:  2022-02-08       Impact factor: 5.682

2.  A Modified Surgical Ventricular Reconstruction in Post-infarction Mice Persistently Alleviates Heart Failure and Improves Cardiac Regeneration.

Authors:  Siyuan Ma; Junyu Yan; Dexuan Yang; Wangjun Liao; Jianping Bin; Hairuo Lin; Yulin Liao
Journal:  Front Cardiovasc Med       Date:  2021-12-24

3.  Potential of ATP5MG to Treat Metabolic Syndrome-Associated Cardiovascular Diseases.

Authors:  Lianyong Liu; Xinglu Zhou; Juan Chen; Xiangqi Li
Journal:  Front Cardiovasc Med       Date:  2022-07-22
  3 in total

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