{"doi":"10.1093/infdis/jiaf168","title":"Strength and Durability of Respiratory Syncytial Virus Prefusion F Immunoglobulin G Following Infection and Exposure in a Household Cohort, 2014–2022","abstract":"BACKGROUND: Little is known about the strength and durability of protection provided by prefusion F (pre-F) immunoglobulin G (IgG) after respiratory syncytial virus (RSV) infection/exposure. METHODS: We analyzed 1019 sera from 422 individuals in 173 households, collected 365 days before and after RSV infection or exposure (2014-2022), from a longitudinal cohort with active respiratory infection surveillance. IgG against RSV pre-F was measured by electrochemiluminescence assay. We used a Cox model, adjusted for age, to assess the association between log4 preinfection/exposure IgG and risk of infection. We compared pre- and postinfection/exposure IgG geometric mean concentration increases among cases and household contacts to identify asymptomatic infections. Generalized additive mixed models predicted IgG concentrations over time. RESULTS: We identified 113 confirmed RSV cases and 377 exposed household contacts. Cases had significantly lower pre-F IgG before infection (P < .05) and significantly higher levels after infection (P < .05). A 1-unit increase in log4 preinfection IgG decreased the risk of infection by 25% (P < .05). Among 58 cases with pre- to post-RSV geometric mean concentration increases, the mean fold increase was 1.12. Eight individuals without confirmed infections had ≥1.12-fold increases and were classified as probable asymptomatic infections. Cases had the highest IgG concentrations after infection, peaking at 1 month (P < .001). CONCLUSIONS: Pre-F IgG is a reliable correlate of protection for RSV infection risk. We found that RSV pre-F IgG-mediated protection starts to wane 6 months after infection. Therefore, scheduling of RSV vaccination should be evaluated so that individuals with the highest risk of severe disease are protected throughout the RSV season.","journal":"The Journal of Infectious Diseases","year":2025,"id":519317,"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":6,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.6938,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1388239,"name":"Casey Juntila","orcid":null,"position":1,"is_corresponding":false},{"id":81633,"name":"Matthew Smith","orcid":"0000-0002-3379-6389","position":2,"is_corresponding":false},{"id":987865,"name":"Amy P. Callear","orcid":null,"position":3,"is_corresponding":false},{"id":1387668,"name":"Yangyupei Yang","orcid":"0000-0002-6011-4152","position":4,"is_corresponding":false},{"id":231053,"name":"Arnold S. Monto","orcid":"0000-0003-3018-435X","position":5,"is_corresponding":false},{"id":226886,"name":"Adam S. Lauring","orcid":"0000-0003-2906-8335","position":6,"is_corresponding":false},{"id":226888,"name":"Emily T. Martin","orcid":"0000-0002-5771-8895","position":7,"is_corresponding":false},{"id":633054,"name":"Kalee E. Rumfelt","orcid":"0000-0001-5128-0274","position":0,"is_corresponding":true}],"reference_count":23,"raw_metadata":null,"created_at":"2026-07-19T02:49:18.751199Z","pmid":"40176487","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":[]}