Shared diagnostic genes and potential mechanisms between COVID-19 and sepsis revealed by bioinformatics analysis

被引：0

作者：

Weifei Wang ^{[1
]}

Zhong Chen ^{[2
,3
]}

Wenyuan Zhang ^{[4
]}

Yuan Lin ^{[5
]}

Yaqi Sun ^{[4
]}

Qi Yao ^{[1
]}

Jian Lu ^{[6
]}

Jungang Zheng ^{[5
,7
,8
]}

机构：

[1] Department of Gerontology,the First Affiliated Hospital of Ningbo University

[2] Department of Anesthesiology,Beilun District People's Hospital

[3] Meigu County People's Hospital

[4] National Clinical Research Center for Child Health,Children's Hospital,Zhejiang University School of Medicine

[5] Department of Anesthesiology,the First Affiliated Hospital of Ningbo University

[6] Department of Ultrasound in Medicine,the First Affiliated Hospital of Ningbo University

[7] The First People's Hospital of Yuexi County

[8] Zhejiang University School of

来源：

WorldJournalofEmergencyMedicine | 2024年 / 15卷 / 05期

关键词：

D O I：

暂无

中图分类号：

R511 [病毒传染病]; R515.3 [败血症];

学科分类号：

摘要：

<正>The coronavirus disease 2019 (COVID-19)pandemic,triggered by the novel coronavirus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2),has ravaged the globe,resulting in a staggering loss of life and wreaking havoc on the worldwide economy.[1,2]Sepsis is a cascade of abnormal responses provoked by infection,leading to a critical deterioration in organ function that poses a life-threatening risk.[3]However,it is unclear from published reports whether COVID-19and sepsis are commonly affected by molecular factors.Therefore,we performed a bioinformatics analysis to uncover shared diagnostic genes and potential mechanisms between COVID-19 and sepsis.

引用

页码：410 / 412

页数：3

共 50 条

[1] Shared diagnostic genes and potential mechanisms between COVID-19 and sepsis revealed by bioinformatics analysis
Wang, Weifei
Chen, Zhong
Zhang, Wenyuan
Lin, Yuan
Sun, Yaqi
Yao, Qi
Lu, Jian
Zheng, Jungang
WORLD JOURNAL OF EMERGENCY MEDICINE, 2024, 15 (05) : 410 - 412
[2] Bioinformatics and system biology analysis revealed the crosstalk between COVID-19 and osteoarthritis
Lai, Bowen
Jiang, Heng
Liao, Taotao
Gao, Yuan
Zhou, Xuhui
IMMUNITY INFLAMMATION AND DISEASE, 2023, 11 (12)
[3] Identification of shared pathogenetic mechanisms between COVID-19 and IC through bioinformatics and system biology
Sun, Zhenpeng
Zhang, Li
Wang, Ruihong
Wang, Zheng
Liang, Xin
Gao, Jiangang
SCIENTIFIC REPORTS, 2024, 14 (01)
[4] Identification of key genes as potential diagnostic biomarkers in sepsis by bioinformatics analysis
Lin, Guoxin
Li, Nannan
Liu, Jishi
Sun, Jian
Zhang, Hao
Gui, Ming
Zeng, Youjie
Tang, Juan
PEERJ, 2024, 12
[5] Bioinformatics analysis of potential common pathogenic mechanisms for COVID-19 and venous thromboembolism
Zhang, Ling
Qin, Jing
Li, Peiwu
CYTOKINE, 2024, 181
[6] Bioinformatics analysis revealed the potential crosstalk genes and molecular mechanisms between intracranial aneurysms and periodontitis
Chen, Yao
Huang, Jian-huang
Kang, Yuan-bao
Yao, Zheng-jian
Song, Jian-hua
BMC MEDICAL GENOMICS, 2024, 17 (01)
[7] Identification of diagnostic candidate genes in COVID-19 patients with sepsis
Li, Jiuang
Pu, Shiqian
Shu, Lei
Guo, Mingjun
He, Zhihui
IMMUNITY INFLAMMATION AND DISEASE, 2024, 12 (10)
[8] From Sleep Deprivation to Severe COVID-19: A Comprehensive Analysis of Shared Differentially Expressed Genes and Potential Diagnostic Biomarkers
Peng, Jing
Zhu, Xiaocheng
Zhuang, Wuping
Luo, Hui
Wang, E.
FRONTIERS IN BIOSCIENCE-LANDMARK, 2024, 29 (03):
[9] Investigating the Potential Shared Molecular Mechanisms between COVID-19 and Alzheimer's Disease via Transcriptomic Analysis
Fan, Yixian
Liu, Xiaozhao
Guan, Fei
Hang, Xiaoyi
He, Ximiao
Jin, Jing
VIRUSES-BASEL, 2024, 16 (01):
[10] Shared diagnostic genes and potential mechanisms between polycystic ovary syndrome and recurrent miscarriage revealed by integrated transcriptomics analysis and machine learning
He, Juanjuan
Liu, Ahui
Shen, Haofei
Jiang, Yanbiao
Gao, Min
Yu, Liulin
Du, Wenjing
Zhang, Xuehong
Fu, Fen
FRONTIERS IN ENDOCRINOLOGY, 2024, 15

← 1 2 3 4 5 →