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Predicting Vibrio cholerae infection and symptomatic disease: a systems serology study

BACKGROUND: Vibriocidal antibodies are currently the best characterised correlate of protection against cholera and are used to gauge immunogenicity in vaccine trials. Although other circulating antibody responses have been associated with a decreased risk of infection, the correlates of protection...

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Autores principales: Wiens, Kirsten E, Iyer, Anita S, Bhuiyan, Taufiqur R, Lu, Lenette L, Cizmeci, Deniz, Gorman, Matthew J, Yuan, Dansu, Becker, Rachel L, Ryan, Edward T, Calderwood, Stephen B, LaRocque, Regina C, Chowdhury, Fahima, Khan, Ashraful I, Levine, Myron M, Chen, Wilbur H, Charles, Richelle C, Azman, Andrew S, Qadri, Firdausi, Alter, Galit, Harris, Jason B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10186354/
https://www.ncbi.nlm.nih.gov/pubmed/36907197
http://dx.doi.org/10.1016/S2666-5247(22)00391-3
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author Wiens, Kirsten E
Iyer, Anita S
Bhuiyan, Taufiqur R
Lu, Lenette L
Cizmeci, Deniz
Gorman, Matthew J
Yuan, Dansu
Becker, Rachel L
Ryan, Edward T
Calderwood, Stephen B
LaRocque, Regina C
Chowdhury, Fahima
Khan, Ashraful I
Levine, Myron M
Chen, Wilbur H
Charles, Richelle C
Azman, Andrew S
Qadri, Firdausi
Alter, Galit
Harris, Jason B
author_facet Wiens, Kirsten E
Iyer, Anita S
Bhuiyan, Taufiqur R
Lu, Lenette L
Cizmeci, Deniz
Gorman, Matthew J
Yuan, Dansu
Becker, Rachel L
Ryan, Edward T
Calderwood, Stephen B
LaRocque, Regina C
Chowdhury, Fahima
Khan, Ashraful I
Levine, Myron M
Chen, Wilbur H
Charles, Richelle C
Azman, Andrew S
Qadri, Firdausi
Alter, Galit
Harris, Jason B
author_sort Wiens, Kirsten E
collection PubMed
description BACKGROUND: Vibriocidal antibodies are currently the best characterised correlate of protection against cholera and are used to gauge immunogenicity in vaccine trials. Although other circulating antibody responses have been associated with a decreased risk of infection, the correlates of protection against cholera have not been comprehensively compared. We aimed to analyse antibody-mediated correlates of protection from both V cholerae infection and cholerarelated diarrhoea. METHODS: We conducted a systems serology study that analysed 58 serum antibody biomarkers as correlates of protection against V cholerae O1 infection or diarrhoea. We used serum samples from two cohorts: household contacts of people with confirmed cholera in Dhaka, Bangladesh, and cholera-naive volunteers who were recruited at three centres in the USA, vaccinated with a single dose of CVD 103-HgR live oral cholera vaccine, and then challenged with V cholerae O1 El Tor Inaba strain N16961. We measured antigen-specific immunoglobulin responses against antigens using a customised Luminex assay and used conditional random forest models to examine which baseline biomarkers were most important for classifying individuals who went on to develop infection versus those who remained uninfected or asymptomatic. V cholerae infection was defined as having a positive stool culture result on days 2–7 or day 30 after enrolment of the household’s index cholera case and, in the vaccine challenge cohort, was the development of symptomatic diarrhoea (defined as two or more loose stools of ≥200 mL each, or a single loose stool of ≥300 mL over a 48-h period). FINDINGS: In the household contact cohort (261 participants from 180 households), 20 (34%) of the 58 studied biomarkers were associated with protection against V cholerae infection. We identified serum antibody-dependent complement deposition targeting the O1 antigen as the most predictive correlate of protection from infection in the household contacts, whereas vibriocidal antibody titres ranked lower. A five-biomarker model predicted protection from V cholerae infection with a cross-validated area under the curve (cvAUC) of 79% (95% CI 73–85). This model also predicted protection against diarrhoea in unvaccinated volunteers challenged with V cholerae O1 after vaccination (n=67; area under the curve [AUC] 77%, 95% CI 64–90). Although a different five-biomarker model best predicted protection from the development of cholera diarrhoea in the challenged vaccinees (cvAUC 78%, 95% CI 66–91), this model did poorly at predicting protection against infection in the household contacts (AUC 60%, 52–67). INTERPRETATION: Several biomarkers predict protection better than vibriocidal titres. A model based on protection against infection among household contacts was predictive of protection against both infection and diarrhoeal illness in challenged vaccinees, suggesting that models based on observed conditions in a cholera-endemic population might be more likely to identify broadly applicable correlates of protection than models trained on single experimental settings. FUNDING: National Institute of Allergy and Infectious Diseases and National Institute of Child Health and Human Development, National Institutes of Health.
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spelling pubmed-101863542023-05-16 Predicting Vibrio cholerae infection and symptomatic disease: a systems serology study Wiens, Kirsten E Iyer, Anita S Bhuiyan, Taufiqur R Lu, Lenette L Cizmeci, Deniz Gorman, Matthew J Yuan, Dansu Becker, Rachel L Ryan, Edward T Calderwood, Stephen B LaRocque, Regina C Chowdhury, Fahima Khan, Ashraful I Levine, Myron M Chen, Wilbur H Charles, Richelle C Azman, Andrew S Qadri, Firdausi Alter, Galit Harris, Jason B Lancet Microbe Article BACKGROUND: Vibriocidal antibodies are currently the best characterised correlate of protection against cholera and are used to gauge immunogenicity in vaccine trials. Although other circulating antibody responses have been associated with a decreased risk of infection, the correlates of protection against cholera have not been comprehensively compared. We aimed to analyse antibody-mediated correlates of protection from both V cholerae infection and cholerarelated diarrhoea. METHODS: We conducted a systems serology study that analysed 58 serum antibody biomarkers as correlates of protection against V cholerae O1 infection or diarrhoea. We used serum samples from two cohorts: household contacts of people with confirmed cholera in Dhaka, Bangladesh, and cholera-naive volunteers who were recruited at three centres in the USA, vaccinated with a single dose of CVD 103-HgR live oral cholera vaccine, and then challenged with V cholerae O1 El Tor Inaba strain N16961. We measured antigen-specific immunoglobulin responses against antigens using a customised Luminex assay and used conditional random forest models to examine which baseline biomarkers were most important for classifying individuals who went on to develop infection versus those who remained uninfected or asymptomatic. V cholerae infection was defined as having a positive stool culture result on days 2–7 or day 30 after enrolment of the household’s index cholera case and, in the vaccine challenge cohort, was the development of symptomatic diarrhoea (defined as two or more loose stools of ≥200 mL each, or a single loose stool of ≥300 mL over a 48-h period). FINDINGS: In the household contact cohort (261 participants from 180 households), 20 (34%) of the 58 studied biomarkers were associated with protection against V cholerae infection. We identified serum antibody-dependent complement deposition targeting the O1 antigen as the most predictive correlate of protection from infection in the household contacts, whereas vibriocidal antibody titres ranked lower. A five-biomarker model predicted protection from V cholerae infection with a cross-validated area under the curve (cvAUC) of 79% (95% CI 73–85). This model also predicted protection against diarrhoea in unvaccinated volunteers challenged with V cholerae O1 after vaccination (n=67; area under the curve [AUC] 77%, 95% CI 64–90). Although a different five-biomarker model best predicted protection from the development of cholera diarrhoea in the challenged vaccinees (cvAUC 78%, 95% CI 66–91), this model did poorly at predicting protection against infection in the household contacts (AUC 60%, 52–67). INTERPRETATION: Several biomarkers predict protection better than vibriocidal titres. A model based on protection against infection among household contacts was predictive of protection against both infection and diarrhoeal illness in challenged vaccinees, suggesting that models based on observed conditions in a cholera-endemic population might be more likely to identify broadly applicable correlates of protection than models trained on single experimental settings. FUNDING: National Institute of Allergy and Infectious Diseases and National Institute of Child Health and Human Development, National Institutes of Health. 2023-04 2023-03-09 /pmc/articles/PMC10186354/ /pubmed/36907197 http://dx.doi.org/10.1016/S2666-5247(22)00391-3 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article under the CC BY-NC-ND 4.0 license.
spellingShingle Article
Wiens, Kirsten E
Iyer, Anita S
Bhuiyan, Taufiqur R
Lu, Lenette L
Cizmeci, Deniz
Gorman, Matthew J
Yuan, Dansu
Becker, Rachel L
Ryan, Edward T
Calderwood, Stephen B
LaRocque, Regina C
Chowdhury, Fahima
Khan, Ashraful I
Levine, Myron M
Chen, Wilbur H
Charles, Richelle C
Azman, Andrew S
Qadri, Firdausi
Alter, Galit
Harris, Jason B
Predicting Vibrio cholerae infection and symptomatic disease: a systems serology study
title Predicting Vibrio cholerae infection and symptomatic disease: a systems serology study
title_full Predicting Vibrio cholerae infection and symptomatic disease: a systems serology study
title_fullStr Predicting Vibrio cholerae infection and symptomatic disease: a systems serology study
title_full_unstemmed Predicting Vibrio cholerae infection and symptomatic disease: a systems serology study
title_short Predicting Vibrio cholerae infection and symptomatic disease: a systems serology study
title_sort predicting vibrio cholerae infection and symptomatic disease: a systems serology study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10186354/
https://www.ncbi.nlm.nih.gov/pubmed/36907197
http://dx.doi.org/10.1016/S2666-5247(22)00391-3
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