Longitudinal proteomic investigation of COVID-19 vaccination

被引：6

作者：

Wang, Yingrui ^{[1
,2
,3
,4
]}

Zhu, Qianru ^{[6
]}

Sun, Rui ^{[1
,2
,3
,4
]}

Yi, Xiao ^{[1
,2
,3
,4
]}

Huang, Lingling ^{[5
]}

Hu, Yifan ^{[5
]}

Ge, Weigang ^{[5
]}

Gao, Huanhuan ^{[1
,2
,3
,4
]}

Ye, Xinfu ^{[5
]}

Song, Yu ^{[7
]}

Shao, Li ^{[6
,8
]}

Li, Yantao ^{[5
]}

Li, Jie ^{[9
,10
]}

Guo, Tiannan ^{[1
,2
,3
,4
]}

Shi, Junping ^{[6
,11
]}

机构：

[1] Westlake Univ, Sch Life Sci, Key Lab Struct Biol Zhejiang Prov, iMarker Lab,Westlake Lab Life Sci & Biomed, 18 Shilongshan Rd, Hangzhou 310024, Peoples R China

[2] Westlake Inst Adv Study, Inst Basic Med Sci, 18 Shilongshan Rd, Hangzhou 310024, Peoples R China

[3] Westlake Univ, Res Ctr Ind Future, 600 Dunyu Rd, Hangzhou 310030, Peoples R China

[4] Westlake Univ, Ctr Infect Dis Res, 18 Shilongshan Rd, Hangzhou 310024, Peoples R China

[5] Hangzhou Normal Univ, Dept Translat Med Platform, Affiliated Hosp, Hangzhou 310015, Peoples R China

[6] Westlake Om Hangzhou Biotechnol Co Ltd, Hangzhou 310024, Peoples R China

[7] Zhejiang Chinese Med Univ, Sch Clin Med 4, Hangzhou 310053, Peoples R China

[8] Hangzhou Normal Univ, Med Coll, Hangzhou 311121, Peoples R China

[9] Nanjing Univ Med Sch, Nanjing Drum Tower Hosp, Dept Infect Dis, Affiliated Hosp, Nanjing 210008, Peoples R China

[10] Nanjing Univ, Inst Viruses & Infect Dis, Nanjing 210093, Peoples R China

[11] Hangzhou Normal Univ, Dept Infect & Hepatol Dis, Affiliated Hosp, Hangzhou 310015, Peoples R China

来源：

PROTEIN & CELL | 2023年 / 14卷 / 09期

基金：

中国国家自然科学基金; 国家重点研发计划;

关键词：

COVID-19; vaccination; proteomics; neutralizing antibodies (NAbs); machine learning; MATRIX METALLOPROTEINASES; BOOSTER VACCINATION; CELL; SARS-COV-2; IMMUNITY;

D O I：

10.1093/procel/pwad004

中图分类号：

Q2 [细胞生物学];

学科分类号：

071009 ; 090102 ;

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 predict. In this study, blood samples were collected from 163 participants who next received two doses of an inactivated COVID-19 vaccine (CoronaVac(R)) at a 28-day interval. Using TMT-based proteomics, we identified 1,715 serum and 7,342 peripheral blood mononuclear cells (PBMCs) proteins. We 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 response. This 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.

引用

页码：668 / 682

页数：15

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