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新冠病毒感染转录组学数据及比较医学分析

冯婷婷 李依桐 吴玥 王珏 孔琪

实验动物与比较医学2024,Vol.44Issue(1):62-73,12.
实验动物与比较医学2024,Vol.44Issue(1):62-73,12.DOI:10.12300/j.issn.1674-5817.2023.079

新冠病毒感染转录组学数据及比较医学分析

Transcriptome Data and Comparative Medical Analysis of COVID-19 Virus Infection

冯婷婷 1李依桐 1吴玥 1王珏 1孔琪1

作者信息

  • 1. 中国医学科学院医学实验动物研究所,北京协和医学院比较医学中心,国家人类疾病动物模型资源库,国家卫生健康委员会人类疾病比较医学重点实验室,新发再发传染病动物模型研究北京市重点实验室,北京市人类重大疾病实验动物模型工程技术研究中心,北京 100021
  • 折叠

摘要

Abstract

Objective To provide more basic information of comparative medicine for the study of biological changes and pathogenesis of COVID-19 by systematical sorting and analyzing the transcriptome data.Methods Following a retrieval strategy,using COVID-19 and SARS-CoV-2 as key words,transcriptome datasets related to COVID-19 from January 2020 to May 2023 were collected from GEO,ArrayExpress and GEN Transcriptome databases.The composition,distribution,and research application of COVID-19 transcriptome data resources were analyzed.Data distribution was visually displayed and correlation analysis was performed.The research applications and limitations of existing COVID-19 transcriptome data were analyzed from the perspectives of clinical medicine and comparative medicine,focusing on clinical-related molecular mechanisms,biomarkers and related immune responses,treatment intervention strategies,etc.The research value and application prospects were discussed.Results A total of 975 sets of COVID-19 transcriptome data were included.Among three databases,datasets from humans accounted for the highest proportion,namely 71.9%,77.9%,and 90%,respectively.Species other than humans,such as mice,were the main sources of data,with the respiratory and nervous systems having the highest distribution of data.Twenty-seven datasets were associated with clinical significance.Analysis revealed that respiratory tract injury and other related molecular mechanisms were obtained through transcriptome data mining.Biomarkers such as cfDNA could be used as therapeutic targets.The severity of COVID-19 infection was associated with cell changes and disorders represented by M1 macrophages.Comparative medical analysis showed that mice,hamsters,and other animals were susceptible to SARS-CoV-2.Rhesus monkeys and cynomolgus monkeys exhibited infection characteristics highly similar to human.Apart from respiratory symptoms,hamsters also exhibited digestive system symptoms.SARS-CoV-2 can replicate in the respiratory organs of various susceptible animals,the intestines of ferrets and the ears of minks,resulting in interstitial pneumonia,diffuse lung injury and other pathological changes of varying degrees.Based on the differences in immune responses,hamsters can be used for neutralizing antibody reaction research.Conclusion Currently there is a wealth of COVID-19 transcriptome data,but there is a lack of comparative transcriptome research.Transcriptomics can be combined with comparative medicine to further explore the differences in comparative medicine of COVID-19.

关键词

新冠病毒/转录组/大数据/分子机制/数据分析

Key words

COVID-19/Transcriptome/Big data/Molecular mechanisms/Data analysis

分类

医药卫生

引用本文复制引用

冯婷婷,李依桐,吴玥,王珏,孔琪..新冠病毒感染转录组学数据及比较医学分析[J].实验动物与比较医学,2024,44(1):62-73,12.

基金项目

北京市自然科学基金资助项目"基于大数据的新型冠状病毒肺炎动物模型数据库建立"(M21027) (M21027)

实验动物与比较医学

OACSTPCD

1674-5817

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