摘要
2020年,新型冠状病毒(SARS-CoV-2)席卷全球,对全球人民的生命健康造成重大危害并给全球公共卫生系统带来巨大负担。到目前为止,核酸检测是新型冠状病毒肺炎诊断的主要方法和标准,同时其他技术方法也竞相开展,蛋白质组学技术即为其一。该技术在疾病机制研究、诊断方法开发、病原鉴定等领域已广泛应用,在SARS-CoV-2感染诊断中则主要针对病毒颗粒和感染病毒后人体体液的蛋白质组。其中,基于病毒颗粒的蛋白质组学在早期诊断中具有巨大潜力,而基于体液的蛋白质组学不仅可用于早期诊断,在监测感染进程,甚至预测病程走势和评价预后恢复等方面均有良好的应用前景。本研究就全球范围内蛋白质组学技术在SARS-CoV-2感染诊断中的研究及其应用进行综述和展望。
Severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)has swept the world in 2020,resulting in unprecedented pandemic of coronavirus disease 2019(COVID-19).The number of infected persons and deaths increase every day at a frightening speed,threatening the health and life of people in the world and causing heavy burden to the global public health system.So far,nucleic acid detection is the main diagnostic method and gold standard for COVID-19.Meanwhile,other techniques and methods are also in developing for the diagnosis of SARS-CoV-2 infection.Proteomics technique is one of them.Proteomics technique has been widely used in the research of disease-related mechanism,development of diagnostic methods and pathogen identification.Up to now,there are mainly two applications of proteomics in the diagnosis of SARSCoV-2 infection.First,proteomics based on virus particles has great potential in early diagnosis.Second,proteomics based on body fluids can be used not only for early diagnosis,but also for good monitoring the progress of infection,predicting the trend of disease,and evaluating the prognoses.In this paper,the research and application of proteomics technique in the diagnosis of SARS-CoV-2 infection in the world are summarized and prospected.
作者
李天一
王磊
秦天
张建中
阚飙
徐建国
肖迪
Li Tianyi;Wang Lei;Qin Tian;Zhang Jianzhong;Kan Biao;Xu Jianguo;Xiao Di(State Key Laboratory of Communicable Disease Prevention and Control,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases,National Institute for Communicable Disease Prevention and Control,Chinese Center for Disease Control and Prevention,Beijing 102206,China)
出处
《疾病监测》
CAS
CSCD
北大核心
2021年第1期23-28,共6页
Disease Surveillance
基金
国家科技重大专项(No.2018ZX10712001006012,No.2018ZX10733402003002)。