Longitudinal proteomic investigation of cOVID-19 vaccination

作     者：Yingrui Wang Qianru Zhu Rui Sun Xiao Yi Lingling Huang Yifan Hu Weigang Ge Huanhuan Gao Xinfu Ye Yu Song Li Shao Yantao Li Jie Li Tiannan Guo Junping Shi Yingrui Wang;Qianru Zhu;Rui Sun;Xiao Yi;Lingling Huang;Yifan Hu;Weigang Ge;Huanhuan Gao;Xinfu Ye;Yu Song;Li Shao;Yantao Li;Jie Li;Tiannan Guo;Junping Shi

作者机构：Marker LabWestlake Laboratory of Life Sciences and BiomedicineKey Laboratory of Structural Biology of Zhejiang ProvinceSchool of Life SciencesWestlake University18 Shilongshan RoadHangzhou 310024China Institute of Basic Medical SciencesWestlake Institute for Advanced Study18 Shilongshan RoadHangzhou 310024China Research Centerfor Industries of theFutureWestlakeUniversity600D unyu RoadHangzhou 310030China Center for Infectious Disease ResearchWestlake University18 Shilongshan RoadHangzhou 310024China Westlake Omics(Hangzhou)Biotechnology Co.Ltd.Hangzhou 310024China Department of Translational Medicine PlatformThe Affiliated Hospital of Hangzhou Normal UniversityHangzhou 310015China The Fourth School of Clinical MedicineZhejiang Chinese Medical UniversityHangzhou 310053China Medical college of Hangzhou Normal UniversityHangzhou 311121China Department of Infectious DiseasesNanjing Drum Tower HospitalThe Affiliated Hospital of Nanjing University Medical SchoolNanjing 210008China Institute of Viruses and Infectious DiseasesNanjing UniversityNanjing 210093China Department of Infectious and Hepatology DiseasesThe Affiliated Hospital of Hangzhou Normal UniversityHangzhou 310015China 

出 版 物：《Protein & Cell》 (蛋白质与细胞（英文版）)

年 卷 期：2023年第14卷第9期

页      面：668-682页

核心收录：

学科分类：1002[医学-临床医学] 100201[医学-内科学(含：心血管病、血液病、呼吸系病、消化系病、内分泌与代谢病、肾病、风湿病、传染病)] 10[医学] 

基　　金：supported by the National Natural Science Foundation of China(32200763) Key medical disciplines of Hangzhou,the Medical Health Science and Technology Project of Hangzhou municipal Health Commission(A20210205) the National Key R&D Program of China(2020YFE0202200) Funding for Clinical Trials from the Affiliated Drum Tower Hospital,Medical School of Nanjing University(2022-LCYJ-MS-08) 

主　　题：COVID-19 vaccination proteomics neutralizing antibodies(NAbs) machine learning 

摘      要：Although the development of covID-19 vaccines has been a remarkable success,the heterogeneous individual antibody generation and decline over time are unknown and still hard to *** this study,blood samples were collected from 163 participants who next received two doses of an inactivated COvVID-19 vaccine(CoronaVac)at a 28-day *** TMT-based proteomics,we identified 1,715 serum and 7,342 peripheral blood mononuclear cells(PBMCs)*** proposed two sets of potential biomarkers(seven from serum,five from PBMCs)at baseline using machine learning,and predicted the individual seropositivity 57 days after vaccination(AUC=0.87).Based on the four PBMC s potential biomarkers,we predicted the antibody persistence until 180 days after vaccination(AUC=0.79).Our data highlighted characteristic hematological host responses,including altered lymphocyte migration regulation,neutrophil degranulation,and humoral immune *** study proposed potential blood-derived protein biomarkers before vaccination for predicting heterogeneous antibody generation and decline after coVID-19 vaccination,shedding light on immunization mechanisms and individual booster shot planning.