{"doi":"10.3390/vaccines10050692","title":"Neutralizing Antibody Response to BBIBP-CorV in Comparison with COVID-19 Recovered, Unvaccinated Individuals in a Sample of the Pakistani Population","abstract":"Fifty five percent of the Pakistani population is still unvaccinated with the two-dose protocol of COVID-19 vaccines. This study was undertaken to determine the seroconversion rate and antibody titers following the two-dose BBIBP-CorV protocol, and to compare these variables in unvaccinated, COVID-19 recovered individuals (total n = 180) at Indus Hospital and Health Network, Karachi. Pseudotyped lentivirus antibody neutralization assays and SARS-CoV-2 IgG Quant II (Abbott) immunoassays were performed 4-8 weeks following the second dose of the BBIBP-CorV or PCR positivity/onset of symptoms of COVID-19. Seroconversion rate, using neutralization assays, in vaccinated individuals was lower (78%) than that in unvaccinated, COVID-19-recovered individuals with moderate to severe infection (97%). Prior PCR positivity increased serocoversion rate to 98% in vaccinated individuals. Immunoassays did not, however, reveal significant inter-group differences in seroconversion rates (≥95% in all groups). Log10 mean antibody neutralizing titers following the two-dose BBIBP-CorV protocol (IC50 = 2.21) were found to be significantly less than those succeeding moderate to severe COVID-19 (IC50 = 2.94). Prior SARS-CoV-2 positivity significantly increased post-vaccination antibody titers (IC50 = 2.82). Similar inter-group titer differences were obtained using the immunoassay. BBIBP-CorV post-vaccination titers may, thus, be lower than those following natural, moderate to severe infection, while prior SARS-CoV-2 exposure increases these titers to more closely approximate the latter.","journal":"Vaccines","year":2022,"id":273889,"datarank":0.5163835130322358,"base_score":2.3978952727983707,"endowment":2.3978952727983707,"self_citation_contribution":0.3596842909197557,"citation_network_contribution":0.15669922211248016,"self_endowment_contribution":0.3596842909197557,"citer_contribution":0.15669922211248016,"corpus_percentile":null,"corpus_rank":null,"citation_count":10,"citer_count":9,"citers_with_citation_signal":7,"citers_with_endowment":7,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9522,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":941849,"name":"Shakir Hussain","orcid":"0000-0002-5340-8259","position":1,"is_corresponding":false},{"id":941850,"name":"Fouzia Naseer","orcid":"0000-0003-3641-4603","position":2,"is_corresponding":false},{"id":941851,"name":"Fatima Kanani","orcid":"0000-0001-6486-8886","position":3,"is_corresponding":false},{"id":941852,"name":"Sabiha Anis","orcid":"0000-0003-4281-2608","position":4,"is_corresponding":false},{"id":942456,"name":"Samreen Sarfaraz","orcid":null,"position":5,"is_corresponding":false},{"id":941853,"name":"Saima Saeed","orcid":"0000-0001-9352-8688","position":6,"is_corresponding":false},{"id":694379,"name":"Hina Farooq","orcid":null,"position":7,"is_corresponding":false},{"id":941854,"name":"Saba Jamal","orcid":"0000-0002-4550-745X","position":8,"is_corresponding":false},{"id":941848,"name":"Javeria Aijaz","orcid":"0000-0003-4401-4677","position":0,"is_corresponding":true}],"reference_count":45,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T00:28:07.776043Z","pmid":"35632448","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":[]}