{"doi":"10.1002/jmv.29179","title":"Characterization of B‐cell receptor clonality and immunoglobulin gene usage at multiple time points during active SARS‐CoV‐2 infection","abstract":"Although monoclonal antibodies to the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) are known, B-cell receptor repertoire and its change in patients during coronavirus disease-2019 (COVID-19) progression is underreported. We aimed to study this molecularly. We used immunoglobulin heavy chain (IGH) variable region (IGHV) spectratyping and next-generation sequencing of peripheral blood B-cell genomic DNA collected at multiple time points during disease evolution to study B-cell response to SARS-CoV-2 infection in 14 individuals with acute COVID-19. We found a broad distribution of responding B-cell clones. The IGH gene usage was not significantly skewed but frequencies of individual IGH genes changed repeatedly. We found predominant usage of unmutated and low mutation-loaded IGHV rearrangements characterizing naïve and extrafollicular B cells among the majority of expanded peripheral B-cell clonal lineages at most tested time points in most patients. IGH rearrangement usage showed no apparent relation to anti-SARS-CoV-2 antibody titers. Some patients demonstrated mono/oligoclonal populations carrying highly mutated IGHV rearrangements indicating antigen experience at some of the time points tested, including even before anti-SARS-CoV-2 antibodies were detected. We present evidence demonstrating that the B-cell response to SARS-CoV-2 is individual and includes different lineages of B cells at various time points during COVID-19 progression.","journal":"Journal of Medical Virology","year":2023,"id":413136,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9484,"is_data_producer":true,"deposit_databanks":{"ClinicalTrials.gov":["NCT04362865","NCT01087333"]},"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1052380,"name":"Kiersten Henry","orcid":null,"position":1,"is_corresponding":false},{"id":1103183,"name":"Christopher Haas","orcid":"0000-0002-6513-2085","position":2,"is_corresponding":false},{"id":1194160,"name":"M N Gould","orcid":"0009-0009-4068-1561","position":3,"is_corresponding":false},{"id":1194619,"name":"Jack Tsintolas","orcid":null,"position":4,"is_corresponding":false},{"id":1194620,"name":"Jack Mauter","orcid":null,"position":5,"is_corresponding":false},{"id":453289,"name":"Hong Zhou","orcid":"0000-0002-4523-0219","position":6,"is_corresponding":false},{"id":104193,"name":"Peter D. Burbelo","orcid":"0000-0003-1717-048X","position":7,"is_corresponding":false},{"id":104194,"name":"Jeffrey I. Cohen","orcid":"0000-0003-0238-7176","position":8,"is_corresponding":false},{"id":445384,"name":"Robert J. Kreitman","orcid":"0000-0001-5141-1844","position":9,"is_corresponding":false},{"id":453288,"name":"Evgeny Arons","orcid":"0000-0002-0792-7824","position":0,"is_corresponding":true}],"reference_count":49,"raw_metadata":null,"created_at":"2026-07-19T01:21:53.745400Z","pmid":"37877800","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}