• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

转录组学研究揭示了 COVID-19 对主要健康状况的病理生理影响。

Transcriptomic studies revealed pathophysiological impact of COVID-19 to predominant health conditions.

机构信息

Department of Biotechnology and Genetic Engineering, Islamic University, Bangladesh.

Islamic University, Bangladesh.

出版信息

Brief Bioinform. 2021 Nov 5;22(6). doi: 10.1093/bib/bbab197.

DOI:10.1093/bib/bbab197
PMID:34076249
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8194991/
Abstract

Despite the association of prevalent health conditions with coronavirus disease 2019 (COVID-19) severity, the disease-modifying biomolecules and their pathogenetic mechanisms remain unclear. This study aimed to understand the influences of COVID-19 on different comorbidities and vice versa through network-based gene expression analyses. Using the shared dysregulated genes, we identified key genetic determinants and signaling pathways that may involve in their shared pathogenesis. The COVID-19 showed significant upregulation of 93 genes and downregulation of 15 genes. Interestingly, it shares 28, 17, 6 and 7 genes with diabetes mellitus (DM), lung cancer (LC), myocardial infarction and hypertension, respectively. Importantly, COVID-19 shared three upregulated genes (i.e. MX2, IRF7 and ADAM8) with DM and LC. Conversely, downregulation of two genes (i.e. PPARGC1A and METTL7A) was found in COVID-19 and LC. Besides, most of the shared pathways were related to inflammatory responses. Furthermore, we identified six potential biomarkers and several important regulatory factors, e.g. transcription factors and microRNAs, while notable drug candidates included captopril, rilonacept and canakinumab. Moreover, prognostic analysis suggests concomitant COVID-19 may result in poor outcome of LC patients. This study provides the molecular basis and routes of the COVID-19 progression due to comorbidities. We believe these findings might be useful to further understand the intricate association of these diseases as well as for the therapeutic development.

摘要

尽管常见健康状况与 2019 年冠状病毒病(COVID-19)的严重程度有关,但疾病修饰生物分子及其发病机制仍不清楚。本研究旨在通过基于网络的基因表达分析了解 COVID-19 对不同合并症的影响及其相互影响。使用共享失调的基因,我们确定了可能涉及它们共同发病机制的关键遗传决定因素和信号通路。COVID-19 表现出 93 个基因的显著上调和 15 个基因的下调。有趣的是,它与糖尿病(DM)、肺癌(LC)、心肌梗塞和高血压分别共享 28、17、6 和 7 个基因。重要的是,COVID-19 与 DM 和 LC 共享三个上调基因(即 MX2、IRF7 和 ADAM8)。相反,在 COVID-19 和 LC 中发现两个基因(即 PPARGC1A 和 METTL7A)下调。此外,大多数共享途径都与炎症反应有关。此外,我们确定了六个潜在的生物标志物和几个重要的调节因子,例如转录因子和 microRNAs,而显著的候选药物包括卡托普利、rilonacept 和 canakinumab。此外,预后分析表明,同时患有 COVID-19 可能导致 LC 患者的预后不良。本研究为 COVID-19 因合并症而进展提供了分子基础和途径。我们相信这些发现可能有助于进一步了解这些疾病之间的复杂关联,并为治疗开发提供依据。

相似文献

1
Transcriptomic studies revealed pathophysiological impact of COVID-19 to predominant health conditions.转录组学研究揭示了 COVID-19 对主要健康状况的病理生理影响。
Brief Bioinform. 2021 Nov 5;22(6). doi: 10.1093/bib/bbab197.
2
Discovering common pathogenetic processes between COVID-19 and diabetes mellitus by differential gene expression pattern analysis.通过差异基因表达模式分析发现 COVID-19 和糖尿病之间的共同发病机制。
Brief Bioinform. 2021 Nov 5;22(6). doi: 10.1093/bib/bbab262.
3
Pathogenetic profiling of COVID-19 and SARS-like viruses.COVID-19 和 SARS 样病毒的病原体特征分析。
Brief Bioinform. 2021 Mar 22;22(2):1175-1196. doi: 10.1093/bib/bbaa173.
4
Environmental pollution and COVID-19: the molecular terms and predominant disease outcomes of their sweetheart agreement.环境污染与 COVID-19:它们之间甜蜜协议的分子术语和主要疾病结果。
Epidemiol Prev. 2020 Sep-Dec;44(5-6 Suppl 2):169-182. doi: 10.19191/EP20.5-6.S2.116.
5
Identifying molecular insight of synergistic complexities for SARS-CoV-2 infection with pre-existing type 2 diabetes.鉴定 SARS-CoV-2 感染与既有 2 型糖尿病之间协同复杂性的分子机制。
Comput Biol Med. 2021 Sep;136:104668. doi: 10.1016/j.compbiomed.2021.104668. Epub 2021 Jul 23.
6
Differential gene expression profiling reveals potential biomarkers and pharmacological compounds against SARS-CoV-2: Insights from machine learning and bioinformatics approaches.差异基因表达谱分析揭示了针对 SARS-CoV-2 的潜在生物标志物和药物化合物:机器学习和生物信息学方法的见解。
Front Immunol. 2022 Aug 17;13:918692. doi: 10.3389/fimmu.2022.918692. eCollection 2022.
7
Identification of angiotensin-converting enzyme 2 (ACE2) protein as the potential biomarker in SARS-CoV-2 infection-related lung cancer using computational analyses.使用计算分析鉴定血管紧张素转换酶 2(ACE2)蛋白作为 SARS-CoV-2 感染相关肺癌的潜在生物标志物。
Genomics. 2020 Nov;112(6):4912-4923. doi: 10.1016/j.ygeno.2020.09.002. Epub 2020 Sep 8.
8
Bioinformatics and system biology approach to identify the influences of COVID-19 on cardiovascular and hypertensive comorbidities.生物信息学和系统生物学方法识别 COVID-19 对心血管和高血压合并症的影响。
Brief Bioinform. 2021 Mar 22;22(2):1387-1401. doi: 10.1093/bib/bbaa426.
9
An Assessment on Impact of COVID-19 Infection in a Gender Specific Manner.以性别为基础评估 COVID-19 感染的影响。
Stem Cell Rev Rep. 2021 Feb;17(1):94-112. doi: 10.1007/s12015-020-10048-z. Epub 2020 Oct 7.
10
Bioinformatics and system biology approaches to identify the diseasome and comorbidities complexities of SARS-CoV-2 infection with the digestive tract disorders.生物信息学和系统生物学方法鉴定 SARS-CoV-2 感染与消化道疾病相关的疾病组和共病复杂性。
Brief Bioinform. 2021 Nov 5;22(6). doi: 10.1093/bib/bbab126.

引用本文的文献

1
SARS-CoV-2 infection of human pluripotent stem cell-derived vascular cells reveals smooth muscle cells as key mediators of vascular pathology during infection.严重急性呼吸综合征冠状病毒2(SARS-CoV-2)感染人多能干细胞衍生的血管细胞表明,平滑肌细胞是感染期间血管病理的关键介质。
Nat Commun. 2024 Dec 30;15(1):10754. doi: 10.1038/s41467-024-54917-4.
2
Investigating the Potential Shared Molecular Mechanisms between COVID-19 and Alzheimer's Disease via Transcriptomic Analysis.通过转录组分析探究 COVID-19 和阿尔茨海默病之间潜在的共享分子机制。
Viruses. 2024 Jan 9;16(1):100. doi: 10.3390/v16010100.
3
Identification of differentially expressed genes and pathways in BEAS-2B cells upon long-term exposure to particulate matter (PM) from biomass combustion using bioinformatics analysis.利用生物信息学分析鉴定长期暴露于生物质燃烧产生的颗粒物(PM)后 BEAS-2B 细胞中差异表达的基因和通路。
Environ Health Prev Med. 2023;28:51. doi: 10.1265/ehpm.22-00272.
4
Identification of shared biological features in four different lung cell lines infected with SARS-CoV-2 virus through RNA-seq analysis.通过RNA测序分析鉴定感染SARS-CoV-2病毒的四种不同肺细胞系中的共同生物学特征。
Front Genet. 2023 Aug 16;14:1235927. doi: 10.3389/fgene.2023.1235927. eCollection 2023.
5
IRF7: role and regulation in immunity and autoimmunity.IRF7:在免疫和自身免疫中的作用和调节。
Front Immunol. 2023 Aug 10;14:1236923. doi: 10.3389/fimmu.2023.1236923. eCollection 2023.
6
Transcriptomic characterization revealed that METTL7A inhibits melanoma progression via the p53 signaling pathway and immunomodulatory pathway.转录组特征分析表明,METTL7A 通过 p53 信号通路和免疫调节通路抑制黑色素瘤进展。
PeerJ. 2023 Aug 2;11:e15799. doi: 10.7717/peerj.15799. eCollection 2023.
7
The role of peroxisome proliferator-activated receptors in the modulation of hyperinflammation induced by SARS-CoV-2 infection: A perspective for COVID-19 therapy.过氧化物酶体增殖物激活受体在调节 SARS-CoV-2 感染引起的过度炎症反应中的作用:COVID-19 治疗的一个新视角。
Front Immunol. 2023 Feb 17;14:1127358. doi: 10.3389/fimmu.2023.1127358. eCollection 2023.
8
Differential gene expression profiling reveals potential biomarkers and pharmacological compounds against SARS-CoV-2: Insights from machine learning and bioinformatics approaches.差异基因表达谱分析揭示了针对 SARS-CoV-2 的潜在生物标志物和药物化合物:机器学习和生物信息学方法的见解。
Front Immunol. 2022 Aug 17;13:918692. doi: 10.3389/fimmu.2022.918692. eCollection 2022.
9
Repurposing Multiple-Molecule Drugs for COVID-19-Associated Acute Respiratory Distress Syndrome and Non-Viral Acute Respiratory Distress Syndrome via a Systems Biology Approach and a DNN-DTI Model Based on Five Drug Design Specifications.通过系统生物学方法和基于五个药物设计规范的 DNN-DTI 模型,重新利用多种分子药物治疗 COVID-19 相关急性呼吸窘迫综合征和非病毒性急性呼吸窘迫综合征。
Int J Mol Sci. 2022 Mar 26;23(7):3649. doi: 10.3390/ijms23073649.
10
Differential Co-Expression Network Analysis Reveals Key Hub-High Traffic Genes as Potential Therapeutic Targets for COVID-19 Pandemic.差异共表达网络分析揭示关键枢纽-高流量基因可能成为 COVID-19 大流行的治疗靶点。
Front Immunol. 2021 Dec 15;12:789317. doi: 10.3389/fimmu.2021.789317. eCollection 2021.

本文引用的文献

1
microRNAs in viral acute respiratory infections: immune regulation, biomarkers, therapy, and vaccines.病毒急性呼吸道感染中的微小RNA:免疫调节、生物标志物、治疗及疫苗
ExRNA. 2019;1(1):1. doi: 10.1186/s41544-018-0004-7. Epub 2019 Feb 14.
2
Interleukin-1 and interleukin-6 inhibition compared with standard management in patients with COVID-19 and hyperinflammation: a cohort study.白细胞介素-1和白细胞介素-6抑制与COVID-19合并高炎症患者标准治疗的比较:一项队列研究
Lancet Rheumatol. 2021 Apr;3(4):e253-e261. doi: 10.1016/S2665-9913(21)00012-6. Epub 2021 Feb 3.
3
Experimental data using candesartan and captopril indicate no double-edged sword effect in COVID-19.实验数据显示,坎地沙坦和卡托普利在 COVID-19 中没有双重作用。
Clin Sci (Lond). 2021 Feb 12;135(3):465-481. doi: 10.1042/CS20201511.
4
Canakinumab as treatment for COVID-19-related pneumonia: A prospective case-control study.卡那奴单抗治疗 COVID-19 相关肺炎:一项前瞻性病例对照研究。
Int J Infect Dis. 2021 Mar;104:433-440. doi: 10.1016/j.ijid.2020.12.073. Epub 2020 Dec 29.
5
COVID-19 and diabetes mellitus: from pathophysiology to clinical management.新型冠状病毒肺炎与糖尿病:从病理生理学到临床管理。
Nat Rev Endocrinol. 2021 Jan;17(1):11-30. doi: 10.1038/s41574-020-00435-4. Epub 2020 Nov 13.
6
Comorbidity and its Impact on Patients with COVID-19.合并症及其对COVID-19患者的影响。
SN Compr Clin Med. 2020;2(8):1069-1076. doi: 10.1007/s42399-020-00363-4. Epub 2020 Jun 25.
7
Pathogenetic profiling of COVID-19 and SARS-like viruses.COVID-19 和 SARS 样病毒的病原体特征分析。
Brief Bioinform. 2021 Mar 22;22(2):1175-1196. doi: 10.1093/bib/bbaa173.
8
Focus shifts to antibody cocktails for COVID-19 cytokine storm.焦点转向用于治疗新冠病毒细胞因子风暴的抗体鸡尾酒疗法。
Nat Biotechnol. 2020 Aug;38(8):905-908. doi: 10.1038/s41587-020-0634-9.
9
Characterization of differentially expressed plasma proteins in patients with acute myocardial infarction.急性心肌梗死患者血浆差异表达蛋白的鉴定。
J Proteomics. 2020 Sep 15;227:103923. doi: 10.1016/j.jprot.2020.103923. Epub 2020 Jul 28.
10
Factors Influencing Global Variations in COVID-19 Cases and Fatalities; A Review.影响新冠肺炎病例和死亡全球差异的因素;综述
Healthcare (Basel). 2020 Jul 17;8(3):216. doi: 10.3390/healthcare8030216.