Dynamic landscape mapping of humoral immunity to SARS-CoV-2 identifies non-structural protein antibodies associated with the survival of critical COVID-19 patients.
Linlin ChengXiaomei ZhangYu ChenDan WangDong ZhangSongxin YanHongye WangMeng XiaoTe LiangHaolong LiMeng XuXin HouJiayu DaiXian WuMingyuan LiMinya LuDong WuRan TianJing ZhaoYan ZhangWei CaoJinglan WangXiaowei YanXiang ZhouZhengyin LiuYingchun XuFuchu HeYongzhe LiXiaobo YuShuyang ZhangPublished in: Signal transduction and targeted therapy (2021)
A comprehensive analysis of the humoral immune response to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is essential in understanding COVID-19 pathogenesis and developing antibody-based diagnostics and therapy. In this work, we performed a longitudinal analysis of antibody responses to SARS-CoV-2 proteins in 104 serum samples from 49 critical COVID-19 patients using a peptide-based SARS-CoV-2 proteome microarray. Our data show that the binding epitopes of IgM and IgG antibodies differ across SARS-CoV-2 proteins and even within the same protein. Moreover, most IgM and IgG epitopes are located within nonstructural proteins (nsps), which are critical in inactivating the host's innate immune response and enabling SARS-CoV-2 replication, transcription, and polyprotein processing. IgM antibodies are associated with a good prognosis and target nsp3 and nsp5 proteases, whereas IgG antibodies are associated with high mortality and target structural proteins (Nucleocapsid, Spike, ORF3a). The epitopes targeted by antibodies in patients with a high mortality rate were further validated using an independent serum cohort (n = 56) and using global correlation mapping analysis with the clinical variables that are associated with COVID-19 severity. Our data provide fundamental insight into humoral immunity during SARS-CoV-2 infection. SARS-CoV-2 immunogenic epitopes identified in this work could also help direct antibody-based COVID-19 treatment and triage patients.
Keyphrases
- sars cov
- respiratory syndrome coronavirus
- immune response
- coronavirus disease
- emergency department
- end stage renal disease
- high resolution
- chronic kidney disease
- dendritic cells
- stem cells
- big data
- newly diagnosed
- gene expression
- electronic health record
- type diabetes
- small molecule
- mass spectrometry
- drug delivery
- genome wide
- inflammatory response
- machine learning
- cardiovascular disease
- combination therapy
- high density
- coronary artery disease
- data analysis
- dna binding