Evidence map›Paper›PMID 39891051›Full record

ArticleBMC infectious diseases2025

Evaluation of naturally occurring IgG anti-Vi antibody titers as predictors and correlates of typhoid fever in Dhaka, Bangladesh.

Farhana Khanam, Natasha Y Rickett, Faisal Ahmmed, Md Taufiqul Islam, Cecilia Kathure Mbae, Justin Im, Asma Binte Aziz, Beatrice Ongadi, Fahima Chowdhury, Ashraful Islam Khan and 19 more

Abstract read
In one paragraph

Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

29 authors.

Farhana Khanam *International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh. farhanak@icddrb.org.
Natasha Y Rickett *International Vaccine Institute, Clinical, Assessment, Regulatory, Evaluation Unit (CARE Unit), Seoul, Republic of Korea.
Faisal Ahmmed *International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Md Taufiqul Islam *International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Cecilia Kathure Mbae *Kenya Medical Research Institute (KEMRI), Nairobi, Kenya.
Justin ImResearch Investment for Global Health Technology (RIGHT) Foundation, Seoul, Republic of Korea.
Asma Binte AzizInternational Vaccine Institute, Clinical, Assessment, Regulatory, Evaluation Unit (CARE Unit), Seoul, Republic of Korea.
Beatrice OngadiKenya Medical Research Institute (KEMRI), Nairobi, Kenya.
Fahima ChowdhuryInternational Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Ashraful Islam KhanInternational Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Afroza AkterInternational Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Md Golam FirojInternational Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Sadia Isfat Ara RahmanInternational Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Kassa HaileArmauer Hansen Research Institute, Addis Ababa, Ethiopia.
Se Eun ParkInternational Vaccine Institute, Clinical, Assessment, Regulatory, Evaluation Unit (CARE Unit), Seoul, Republic of Korea.
Martin Bundi MwebiaKenya Medical Research Institute (KEMRI), Nairobi, Kenya.
Moses MwangiKenya Medical Research Institute (KEMRI), Nairobi, Kenya.
Benjamin NgugiKenya Medical Research Institute (KEMRI), Nairobi, Kenya.
Meseret Gebre BehuteInternational Vaccine Institute, Clinical, Assessment, Regulatory, Evaluation Unit (CARE Unit), Seoul, Republic of Korea.
Kelvin KeringKenya Medical Research Institute (KEMRI), Nairobi, Kenya.
Suneth AgampodiInternational Vaccine Institute, Clinical, Assessment, Regulatory, Evaluation Unit (CARE Unit), Seoul, Republic of Korea.
Suman KanungoICMR- National Institute for Research in Bacterial Infections, Kolkata, India.
Xinxue LiuOxford Vaccine Group, Department of Paediatrics, University of Oxford, Oxford, UK.
Andrew J PollardOxford Vaccine Group, Department of Paediatrics, University of Oxford, Oxford, UK.
K Zaman *International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Deok Ryun Kim *International Vaccine Institute, Clinical, Assessment, Regulatory, Evaluation Unit (CARE Unit), Seoul, Republic of Korea.
Samuel Kariuki *Kenya Medical Research Institute (KEMRI), Nairobi, Kenya.
Firdausi Qadri *International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
John D Clemens *International Vaccine Institute, Clinical, Assessment, Regulatory, Evaluation Unit (CARE Unit), Seoul, Republic of Korea.

Funding

Gates Foundation INV-062435
6 · The paper itself

Abstract

backgroundWhen delivered through vaccination Vi-polysaccharide antigen of Salmonella enterica serotype Typhi protects against typhoid by inducing IgG anti-Vi antibodies. We aimed to determine whether the presence of antibodies following natural infection is associated with a lower incidence of typhoid fever in endemic regions.

methodsWe analyzed data from a cohort study of typhoid fever conducted in Dhaka, Bangladesh. Plasma IgG anti-Vi antibodies were measured using a standard enzyme-linked immunosorbent assay in random serosurveys of a population that had not previously received typhoid vaccination. Participants were followed for up to 20 months for culture-confirmed typhoid fever. The receiver operating characteristic (ROC) curve and Cox proportional hazard models were used to evaluate the associations between antibody levels and typhoid risk.

resultsThe ROC analysis revealed that IgG anti-Vi antibody titers were predictive of typhoid risk among the 8,261 serosurvey participants (area under the curve: 0·63; 95% confidence interval (CI): 0·58─0·67). Detection of any antibodies was associated with a lower risk of typhoid in crude analyses (hazard ratio (HR): 0·13; 95% CI: 0·03─0·52), though this association declined after adjustment (HR: 0·32; 95% CI: 0·07─1·40). A positive correlation was observed between IgG anti-Vi titers and age (correlation coefficient 0·35; p < 0·001), with a stepwise increase in detectable antibodies by age, ranging from 12·0% (280/2,333) in children under 5 years to 54·2% (463/854) in individuals 50 years and older (p < 0·001).

conclusionsIn typhoid-endemic populations, IgG anti-Vi antibodies may indicate natural immunity to typhoid. The increasing seroprevalence with age suggests that these antibodies could serve as markers of cumulative past typhoid infections. Future research should explore these possibilities. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Antibodies, BacterialImmunoglobulin GPolysaccharides, BacterialSalmonella typhiTyphoid FeverAdolescentAdultBangladeshChildChild, PreschoolCohort StudiesFemaleHumansInfantMaleMiddle AgedAntibodies, Bacterialcapsular polysaccharide, SalmonellaImmunoglobulin GPolysaccharides, BacterialTyphoid-Paratyphoid VaccinesBangladeshIgG anti-Vi antibodiesNatural protectionTyphoid fever

Identifiers

PMID39891051
PMCPMC11786536

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.