• 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

对具有轻度、中度和重度临床结果的新冠肺炎患者进行宿主转录组分析。

Host transcriptomic profiling of COVID-19 patients with mild, moderate, and severe clinical outcomes.

作者信息

Jain Ruchi, Ramaswamy Sathishkumar, Harilal Divinlal, Uddin Mohammed, Loney Tom, Nowotny Norbert, Alsuwaidi Hanan, Varghese Rupa, Deesi Zulfa, Alkhajeh Abdulmajeed, Khansaheb Hamda, Alsheikh-Ali Alawi, Abou Tayoun Ahmad

机构信息

Al Jalila Genomics Center, Al Jalila Children's Hospital, Dubai, United Arab Emirates.

College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, United Arab Emirates.

出版信息

Comput Struct Biotechnol J. 2020 Dec 17;19:153-160. doi: 10.1016/j.csbj.2020.12.016. eCollection 2021.

DOI:10.1016/j.csbj.2020.12.016
PMID:33425248
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7773686/
Abstract

Characterizing key molecular and cellular pathways involved in COVID-19 is essential for disease prognosis and management. We perform shotgun transcriptome sequencing of human RNA obtained from nasopharyngeal swabs of patients with COVID-19, and identify a molecular signature associated with disease severity. Specifically, we identify globally dysregulated immune related pathways, such as cytokine-cytokine receptor signaling, complement and coagulation cascades, JAK-STAT, and TGF- β signaling pathways in all, though to a higher extent in patients with severe symptoms. The excessive release of cytokines and chemokines such as , , and and certain interferons and interleukins related genes like , , and were significantly higher in patients with severe clinical presentation compared to mild and moderate presentations. Differential gene expression analysis identified a small set of regulatory genes that might act as strong predictors of patient outcome. Our data suggest that rapid transcriptome analysis of nasopharyngeal swabs can be a powerful approach to quantify host molecular response and may provide valuable insights into COVID-19 pathophysiology.

摘要

确定参与2019冠状病毒病（COVID-19）的关键分子和细胞途径对于疾病的预后和管理至关重要。我们对从COVID-19患者鼻咽拭子中获取的人类RNA进行鸟枪法转录组测序，并确定与疾病严重程度相关的分子特征。具体而言，我们发现免疫相关途径在整体上存在失调，如细胞因子-细胞因子受体信号传导、补体和凝血级联反应、JAK-STAT以及TGF-β信号通路，不过在重症患者中失调程度更高。与轻症和中症患者相比，重症患者中细胞因子和趋化因子如 、 、 和 以及某些干扰素和白细胞介素相关基因如 、 、 和 的过度释放明显更高。差异基因表达分析确定了一小部分调控基因，它们可能是患者预后的有力预测指标。我们的数据表明，对鼻咽拭子进行快速转录组分析可能是量化宿主分子反应的有效方法，并可能为COVID-19的病理生理学提供有价值的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c8a/7773686/fed13dcd2546/fx3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c8a/7773686/f572af3eeeed/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c8a/7773686/ca720a5aa993/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c8a/7773686/6f8da6d1ce40/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c8a/7773686/ee6fbb60f2dd/gr3a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c8a/7773686/e5b09751b76c/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c8a/7773686/b42d5b853336/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c8a/7773686/70290cb9decf/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c8a/7773686/48ca84a326bd/fx2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c8a/7773686/fed13dcd2546/fx3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c8a/7773686/f572af3eeeed/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c8a/7773686/ca720a5aa993/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c8a/7773686/6f8da6d1ce40/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c8a/7773686/ee6fbb60f2dd/gr3a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c8a/7773686/e5b09751b76c/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c8a/7773686/b42d5b853336/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c8a/7773686/70290cb9decf/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c8a/7773686/48ca84a326bd/fx2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c8a/7773686/fed13dcd2546/fx3.jpg

相似文献

1
Host transcriptomic profiling of COVID-19 patients with mild, moderate, and severe clinical outcomes.对具有轻度、中度和重度临床结果的新冠肺炎患者进行宿主转录组分析。
Comput Struct Biotechnol J. 2020 Dec 17;19:153-160. doi: 10.1016/j.csbj.2020.12.016. eCollection 2021.
2
Microbial and human transcriptional profiling of coronavirus disease 2019 patients: Potential predictors of disease severity.2019冠状病毒病患者的微生物和人类转录谱分析：疾病严重程度的潜在预测指标
Front Microbiol. 2022 Sep 2;13:959433. doi: 10.3389/fmicb.2022.959433. eCollection 2022.
3
A Network-Based Analysis Reveals the Mechanism Underlying Vitamin D in Suppressing Cytokine Storm and Virus in SARS-CoV-2 Infection.基于网络的分析揭示了维生素 D 抑制 SARS-CoV-2 感染中细胞因子风暴和病毒的机制。
Front Immunol. 2020 Dec 9;11:590459. doi: 10.3389/fimmu.2020.590459. eCollection 2020.
4
Blood transcriptome responses in patients correlate with severity of COVID-19 disease.患者血液转录组反应与 COVID-19 疾病严重程度相关。
Front Immunol. 2023 Jan 20;13:1043219. doi: 10.3389/fimmu.2022.1043219. eCollection 2022.
5
Transcriptomic characterization of adult zebrafish infected with Streptococcus agalactiae.转录组学分析感染无乳链球菌的成年斑马鱼。
Fish Shellfish Immunol. 2019 Nov;94:355-372. doi: 10.1016/j.fsi.2019.09.040. Epub 2019 Sep 15.
6
Single-Cell Transcriptome Analysis Highlights a Role for Neutrophils and Inflammatory Macrophages in the Pathogenesis of Severe COVID-19.单细胞转录组分析强调中性粒细胞和炎症性巨噬细胞在严重 COVID-19 发病机制中的作用。
Cells. 2020 Oct 29;9(11):2374. doi: 10.3390/cells9112374.
7
Mucosal Gene Expression in Response to SARS-CoV-2 Is Associated with Viral Load.黏膜基因表达对 SARS-CoV-2 反应与病毒载量相关。
J Virol. 2023 Feb 28;97(2):e0147822. doi: 10.1128/jvi.01478-22. Epub 2023 Jan 19.
8
Transcriptome Related to Avoiding Immune Destruction in Nasopharyngeal Cancer in Indonesian Patients Using Next-Generation Sequencing.基于下一代测序的印尼鼻咽癌患者避免免疫破坏的转录组研究。
Asian Pac J Cancer Prev. 2020 Sep 1;21(9):2593-2601. doi: 10.31557/APJCP.2020.21.9.2593.
9
Integration and Reanalysis of Four RNA-Seq Datasets Including BALF, Nasopharyngeal Swabs, Lung Biopsy, and Mouse Models Reveals Common Immune Features of COVID-19.整合与重新分析包括支气管肺泡灌洗（BALF）、鼻咽拭子、肺活检和小鼠模型在内的四个RNA测序数据集，揭示了COVID-19的共同免疫特征。
Immune Netw. 2022 May 19;22(3):e22. doi: 10.4110/in.2022.22.e22. eCollection 2022 Jun.
10
Integrative RNA profiling of TBEV-infected neurons and astrocytes reveals potential pathogenic effectors.对感染蜱传脑炎病毒（TBEV）的神经元和星形胶质细胞进行的综合RNA分析揭示了潜在的致病效应物。
Comput Struct Biotechnol J. 2022 May 30;20:2759-2777. doi: 10.1016/j.csbj.2022.05.052. eCollection 2022.

引用本文的文献

1
Immune transcriptomic analysis on COVID-19 patients with varying clinical presentations identifies severity markers.对具有不同临床表现的新冠肺炎患者进行免疫转录组分析，确定了疾病严重程度标志物。
Sci Rep. 2025 Jul 2;15(1):23416. doi: 10.1038/s41598-025-04837-0.
2
Integrated multi-sample transcriptomic analysis of COVID-19 patients against controls using a bioinformatics pipeline.使用生物信息学流程对COVID-19患者与对照进行综合多样本转录组分析。
Sci Rep. 2025 Jun 4;15(1):19644. doi: 10.1038/s41598-025-03640-1.
3
Scent of COVID-19: Whole-Genome Sequencing Analysis Reveals the Role of , , and in Long-Lasting Olfactory Dysfunction.

本文引用的文献

1
Shotgun transcriptome, spatial omics, and isothermal profiling of SARS-CoV-2 infection reveals unique host responses, viral diversification, and drug interactions.SARS-CoV-2 感染的 shotgun 转录组、空间组学和等温分析揭示了独特的宿主反应、病毒多样化和药物相互作用。
Nat Commun. 2021 Mar 12;12(1):1660. doi: 10.1038/s41467-021-21361-7.
2
VolcaNoseR is a web app for creating, exploring, labeling and sharing volcano plots.VolcaNoseR 是一个用于创建、探索、标记和共享火山图的网络应用程序。
Sci Rep. 2020 Nov 25;10(1):20560. doi: 10.1038/s41598-020-76603-3.
3
Rheumatic manifestations of COVID-19: a systematic review and meta-analysis.
新冠病毒的气味：全基因组测序分析揭示了……、……和……在持久性嗅觉功能障碍中的作用。 （注：原文中部分内容缺失，翻译时根据已有信息尽量完整呈现）
Life (Basel). 2025 Jan 5;15(1):56. doi: 10.3390/life15010056.
4
Unlocking the Potential of RNA Sequencing in COVID-19: Toward Accurate Diagnosis and Personalized Medicine.解锁RNA测序在新冠病毒肺炎中的潜力：迈向精准诊断与个性化医疗
Diagnostics (Basel). 2025 Jan 20;15(2):229. doi: 10.3390/diagnostics15020229.
5
Expression Levels of PF4, ALOX12, ITGA2B, F131A in Pregnant COVID-19 Survivors.新冠康复孕妇中PF4、ALOX12、ITGA2B、F131A的表达水平
Biochem Genet. 2024 Nov 14. doi: 10.1007/s10528-024-10958-4.
6
Epithelial Antimicrobial Peptide/Protein and Cytokine Expression Profiles Obtained from Nasopharyngeal Swabs of SARS-CoV-2-Infected and Non-Infected Subjects.从 SARS-CoV-2 感染和未感染患者的鼻咽拭子中获得的上皮抗菌肽/蛋白和细胞因子表达谱。
Viruses. 2024 Sep 15;16(9):1471. doi: 10.3390/v16091471.
7
Network-based integrative multi-omics approach reveals biosignatures specific to COVID-19 disease phases.基于网络的整合多组学方法揭示了新冠病毒疾病不同阶段特有的生物标志物。
Front Mol Biosci. 2024 Jul 8;11:1393240. doi: 10.3389/fmolb.2024.1393240. eCollection 2024.
8
analysis of the impact of toxic metals on COVID-19 complications: molecular insights.分析有毒金属对 COVID-19 并发症的影响：分子层面的见解。
Arh Hig Rada Toksikol. 2024 Jun 29;75(2):102-109. doi: 10.2478/aiht-2024-75-3819. eCollection 2024 Jun 1.
9
Upper Airway Epithelial Tissue Transcriptome Analysis Reveals Immune Signatures Associated with COVID-19 Severity in Ghanaians.上呼吸道上皮组织转录组分析揭示了与加纳人新冠严重程度相关的免疫特征。
J Immunol Res. 2024 Feb 12;2024:6668017. doi: 10.1155/2024/6668017. eCollection 2024.
10
Integrated analysis of RNA-seq datasets reveals novel targets and regulators of COVID-19 severity.RNA-seq 数据集的综合分析揭示了 COVID-19 严重程度的新靶点和调控因子。
Life Sci Alliance. 2024 Jan 23;7(4). doi: 10.26508/lsa.202302358. Print 2024 Apr.
新型冠状病毒肺炎的风湿性表现：一项系统综述和荟萃分析
BMC Rheumatol. 2020 Oct 28;4:65. doi: 10.1186/s41927-020-00165-0. eCollection 2020.
4
Multiple early introductions of SARS-CoV-2 into a global travel hub in the Middle East.SARS-CoV-2 在中东全球交通枢纽的多次早期输入。
Sci Rep. 2020 Oct 20;10(1):17720. doi: 10.1038/s41598-020-74666-w.
5
Two distinct immunopathological profiles in autopsy lungs of COVID-19.COVID-19 患者尸检肺组织中的两种不同免疫病理特征。
Nat Commun. 2020 Oct 8;11(1):5086. doi: 10.1038/s41467-020-18854-2.
6
Transcriptomic analysis of COVID‑19 lungs and bronchoalveolar lavage fluid samples reveals predominant B cell activation responses to infection.新冠病毒感染患者肺及支气管肺泡灌洗液样本的转录组分析显示，感染后主要表现为 B 细胞激活反应。
Int J Mol Med. 2020 Oct;46(4):1266-1273. doi: 10.3892/ijmm.2020.4702. Epub 2020 Aug 12.
7
In vivo antiviral host transcriptional response to SARS-CoV-2 by viral load, sex, and age.体内抗病毒宿主对 SARS-CoV-2 的转录反应与病毒载量、性别和年龄有关。
PLoS Biol. 2020 Sep 8;18(9):e3000849. doi: 10.1371/journal.pbio.3000849. eCollection 2020 Sep.
8
Coagulation dysfunction in COVID-19: The interplay between inflammation, viral infection and the coagulation system.新型冠状病毒肺炎中的凝血功能障碍：炎症、病毒感染和凝血系统之间的相互作用。
Blood Rev. 2021 Mar;46:100745. doi: 10.1016/j.blre.2020.100745. Epub 2020 Aug 24.
9
Geographical and temporal distribution of SARS-CoV-2 clades in the WHO European Region, January to June 2020.2020 年 1 月至 6 月，世卫组织欧洲区域内 SARS-CoV-2 谱系的地理和时间分布。
Euro Surveill. 2020 Aug;25(32). doi: 10.2807/1560-7917.ES.2020.25.32.2001410.
10
Immune complement and coagulation dysfunction in adverse outcomes of SARS-CoV-2 infection.免疫补体和凝血功能障碍与 SARS-CoV-2 感染的不良结局。
Nat Med. 2020 Oct;26(10):1609-1615. doi: 10.1038/s41591-020-1021-2. Epub 2020 Aug 3.