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Longitudinal analysis of the antibody repertoire of a Zika virus-infected patient revealed dynamic changes in antibody response

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posted on 2020-01-07, 05:21 authored by Xuefeng Niu, Qihong Yan, Zhipeng Yao, Fan Zhang, Linbing Qu, Chunlin Wang, Chengrui Wang, Hui Lei, Chaoming Chen, Renshan Liang, Jia Luo, Qian Wang, Lingzhai Zhao, Yudi Zhang, Kun Luo, Longyu Wang, Hongkai Wu, Tingting Liu, Pingchao Li, Zhiqiang Zheng, Yee Joo Tan, Liqiang Feng, Zhenhai Zhang, Jian Han, Fuchun Zhang, Ling Chen

The Zika virus (ZIKV) is a mosquito-borne flavivirus that causes neonatal abnormalities and other disorders. Antibodies to the ZIKV envelope (E) protein can block infection. In this study, next-generation sequencing (NGS) of immunoglobulin heavy chain (IgH) mRNA transcripts was combined with single-cell PCR cloning of E-binding monoclonal antibodies for analysing antibody response in a patient from the early stages of infection to more than one year after the clearance of the virus. The patient's IgH repertoire 14 and 64 days after symptom onset showed dramatic dominant clonal expansion but low clonal diversity. IgH repertoire 6 months after disease-free status had few dominant clones but increased diversity. E-binding antibodies appeared abundantly in the repertoire during the early stages of infection but quickly declined after clearance of the virus. Certain VH genes such as VH5-10-1 and VH4-39 appeared to be preferentially enlisted for a rapid antibody response to ZIKV infection. Most of these antibodies require relatively few somatic hypermutations to acquire the ability to bind to the E protein, pointing to a possible mechanism for rapid defence against ZIKV infection. This study provides a unique and holistic view of the dynamic changes and characteristics of the antibody response to ZIKV infection.

Funding

This study was partly supported by the National Natural Science Foundation of China [grant number 81661148056], National Science and Technology Major Project [grant number 2017ZX10304401], National Key Research and Development Program [grant number 2016YFC0903700], Guangzhou Health Care and Cooperative Innovation Major Project [grant number 20174020229], Guangzhou Science and Technology Program Key Projects [grant number 201904020037], Guangdong Science and Technology Department [grant numbers 2016A020250001 and 2016A02048001], the Key Research and Development Program of Guangdong Province [grant number 2019B020218004].

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