Literature DB >> 31567880

Screening key genes and microRNAs in sepsis by RNA-sequencing.

Yanjun Qin1, Xuan Guo1, Yueqing Yu2, Shimin Dong1, Yan Yan1, Xiaohua Bian1, Caiyan Zhao3.   

Abstract

BACKGROUND: Sepsis is a life-threatening organ dysfunction, initiated by a dysregulated host response to infection. This study aimed to determine key genes and microRNAs (miRNAs) correlated with sepsis.
METHODS: Three patients with sepsis and three healthy individuals treated as controls were recruited in the current study. To identify differentially expressed mRNAs (DEmRNAs) and differentially expressed miRNAs (DEmiRNAs) between patients with sepsis and controls, RNA-sequencing and bioinformatics analysis were conducted. DEmiRNA-target DEmRNAs analysis and functional annotation of DEmiRNA-target DEmRNAs were performed. Dataset GSE46955, used to validate the expression of selected DEmRNAs, was downloaded from the Gene Expression Omnibus database.
RESULTS: Compared with septic patients, a total of 1199 DEmRNAs and 23 DEmiRNAs were identified. Based on DEmiRNA-target DEmRNAs analysis, hsa-miR-106b-5p (degree = 155), hsa-miR-128-3p (degree = 128), and hsa-miR-144-3p (degree = 79) were the top 3 DEmiRNAs that covered most DEmRNAs. The T cell receptor signaling pathway, pathways in cancer, FoxO signaling pathway, and influenza A were the significantly enriched Kyoto Encyclopedia of Genes and Genomes pathways of DEmiRNA-target DEmRNAs in sepsis.
CONCLUSION: We identified key genes and miRNAs related to sepsis. Our findings will provide new insights into understanding sepsis pathogenesis.

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Year:  2020        PMID: 31567880     DOI: 10.1097/JCMA.0000000000000209

Source DB:  PubMed          Journal:  J Chin Med Assoc        ISSN: 1726-4901            Impact factor:   2.743


  11 in total

1.  Identification and Validation of Potential miRNAs, as Biomarkers for Sepsis and Associated Lung Injury: A Network-Based Approach.

Authors:  Shaniya Ahmad; Mohd Murshad Ahmed; P M Z Hasan; Archana Sharma; Anwar L Bilgrami; Kailash Manda; Romana Ishrat; Mansoor Ali Syed
Journal:  Genes (Basel)       Date:  2020-11-10       Impact factor: 4.096

2.  Plasma MIR-212-3p as a biomarker for acute right heart failure with pulmonary artery hypertension.

Authors:  Yue Yang; Renhua Li; Yanan Cao; Sisi Dai; Sumei Luo; Qulian Guo; E Wang
Journal:  Ann Transl Med       Date:  2020-12

3.  A competing endogenous RNA network reveals key lncRNAs associated with sepsis.

Authors:  Xuan Guo; Yanjun Qin; Lili Wang; Shimin Dong; Yan Yan; Xiaohua Bian; Caiyan Zhao
Journal:  Mol Genet Genomic Med       Date:  2020-11-25       Impact factor: 2.183

4.  Detecting Critical Functional Ingredients Group and Mechanism of Xuebijing Injection in Treating Sepsis.

Authors:  Qi- Wu; Chuan-Hui Yin; Yi Li; Jie-Qi Cai; Han-Yun Yang; Ying-Ying Huang; Yi-Xu Zheng; Ke Xiong; Hai-Lang Yu; Ai-Ping Lu; Ke-Xin Wang; Dao-Gang Guan; Yu-Peng Chen
Journal:  Front Pharmacol       Date:  2021-12-06       Impact factor: 5.810

5.  Identification and Validation of Pathogenic Genes in Sepsis and Associated Diseases by Integrated Bioinformatics Approach.

Authors:  Mohd Murshad Ahmed; Almaz Zaki; Alaa Alhazmi; Khalaf F Alsharif; Hala Abubaker Bagabir; Shafiul Haque; Kailash Manda; Shaniya Ahmad; Syed Mansoor Ali; Romana Ishrat
Journal:  Genes (Basel)       Date:  2022-01-24       Impact factor: 4.096

Review 6.  Role of miRNA dysregulation in sepsis.

Authors:  Amanda Formosa; Paul Turgeon; Claudia C Dos Santos
Journal:  Mol Med       Date:  2022-08-19       Impact factor: 6.376

7.  Bioinformatics Analysis for Multiple Gene Expression Profiles in Sepsis.

Authors:  Jianhua Zhai; Anlong Qi; Yan Zhang; Lina Jiao; Yancun Liu; Songtao Shou
Journal:  Med Sci Monit       Date:  2020-04-13

8.  Aberrant long non-coding RNA cancer susceptibility 15 (CASC15) plays a diagnostic biomarker and regulates inflammatory reaction in neonatal sepsis.

Authors:  Jia Song; Ruihua Yu; Jianhong Qi; Xiaokang Wang; Qingqing Shen
Journal:  Bioengineered       Date:  2021-12       Impact factor: 3.269

9.  Identification of hub genes for adult patients with sepsis via RNA sequencing.

Authors:  Qian Zhang; Yingchun Hu; Peiyao Wei; Liu Shi; Lei Shi; Jianzhou Li; Yalei Zhao; Yunru Chen; Xi Zhang; Feng Ye; Xiaojing Liu; Shumei Lin
Journal:  Sci Rep       Date:  2022-03-24       Impact factor: 4.996

10.  Yin Yang 1 (YY1)-induced long intergenic non-protein coding RNA 472 (LINC00472) aggravates sepsis-associated cardiac dysfunction via the micro-RNA-335-3p (miR-335-3p)/Monoamine oxidase A (MAOA) cascade.

Authors:  Guixi Mo; Jian Mo; Xiujuan Tan; Jingjing Wang; Zhenyi Yan; Yijun Liu
Journal:  Bioengineered       Date:  2022-01       Impact factor: 3.269

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