{"doi":"10.1111/irv.13309","title":"Cross‐Reactive Antibody Responses to Coronaviruses Elicited by SARS‐CoV‐2 Infection or Vaccination","abstract":"BACKGROUND: The newly emerged SARS-CoV-2 possesses shared antigenic epitopes with other human coronaviruses. We investigated if COVID-19 vaccination or SARS-CoV-2 infection may boost cross-reactive antibodies to other human coronaviruses. METHODS: Prevaccination and postvaccination sera from SARS-CoV-2 naïve healthy subjects who received three doses of the mRNA vaccine (BioNTech, BNT) or the inactivated vaccine (CoronaVac, CV) were used to monitor the level of cross-reactive antibodies raised against other human coronaviruses by enzyme-linked immunosorbent assay. In comparison, convalescent sera from COVID-19 patients with or without prior vaccination history were also tested. Pseudoparticle neutralization assay was performed to detect neutralization antibody against MERS-CoV. RESULTS: Among SARS-CoV-2 infection-naïve subjects, BNT or CV significantly increased the anti-S2 antibodies against Betacoronaviruses (OC43 and MERS-CoV) but not Alphacoronaviruses (229E). The prevaccination antibody response to the common cold human coronaviruses did not negatively impact the postvaccination antibody response to SARS-CoV-2. Cross-reactive antibodies that binds to the S2 protein of MERS-CoV were similarly detected from the convalescent sera of COVID-19 patients with or without vaccination history. However, these anti-S2 antibodies do not possess neutralizing activity in MERS-CoV pseudoparticle neutralization tests. CONCLUSIONS: Our results suggest that SARS-CoV-2 infection or vaccination may potentially modulate population immune landscape against previously exposed or novel human coronaviruses. The findings have implications for future sero-epidemiological studies on MERS-CoV.","journal":"Influenza and Other Respiratory Viruses","year":2024,"id":442430,"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":8,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9601,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":106025,"name":"Samuel M. S. Cheng","orcid":"0000-0001-7293-2331","position":1,"is_corresponding":false},{"id":459151,"name":"Jin Zhao","orcid":"0000-0002-1934-6445","position":2,"is_corresponding":false},{"id":1256208,"name":"Annie Y. S. Tsoi","orcid":null,"position":3,"is_corresponding":false},{"id":1256209,"name":"Kaman K. M. Lau","orcid":null,"position":4,"is_corresponding":false},{"id":1256210,"name":"CoCo H. C. Chan","orcid":null,"position":5,"is_corresponding":false},{"id":840923,"name":"John K. C. Li","orcid":null,"position":6,"is_corresponding":false},{"id":71997,"name":"David S.C. Hui","orcid":"0000-0003-4382-2445","position":7,"is_corresponding":false},{"id":7188,"name":"Malik Peiris","orcid":"0000-0001-8217-5995","position":8,"is_corresponding":false},{"id":104949,"name":"Hui‐Ling Yen","orcid":"0000-0003-2493-3609","position":9,"is_corresponding":false},{"id":1256207,"name":"Richard S. H. Lee","orcid":null,"position":0,"is_corresponding":true}],"reference_count":24,"raw_metadata":null,"created_at":"2026-07-19T02:01:15.932178Z","pmid":"38725111","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":[]}