BACKGROUND: Identification of the Mycobacterium tuberculosis immunoproteome and antigens associated with serologic responses in adults has renewed interest in developing a serologic test for childhood tuberculosis (TB). We investigated IgG antibody responses against M. tuberculosis antigens in children with well-characterized TB. METHODS: We studied archived sera obtained from hospitalized children with suspected pulmonary TB, and classified as having confirmed TB (culture-confirmed), unlikely TB (clinical improvement without TB treatment), or unconfirmed TB (all others). A multiplexed bead-based assay for IgG antibodies against 119 M. tuberculosis antigens was developed, validated and used to test sera. The area under the curves (AUCs) of the empiric receiver-operator characteristic curves were generated as measures of predictive ability. A cross-validated generalized linear model was used to select the most predictive combinations of antigens. RESULTS: For the confirmed TB versus unlikely TB comparison, the maximal single antigen AUC was 0.63, corresponding to sensitivity 0.60 and specificity 0.60. Older (age: 60+ months old) children's responses were better predictive of TB status than younger (age: 12-59 months old) children's, with a maximal single antigen AUC of -0.76. For the confirmed TB versus unlikely TB groups, the most predictive combinations of antigens assigned TB risk probabilities of 0.33 and 0.33, respectively, when all ages were considered, and 0.57 (interquartile range: 0.48-0.64) and 0.35 (interquartile range: 0.32-0.40) when only older children were considered. CONCLUSION: An antigen-based IgG test is unlikely to meet the performance characteristics required of a TB detection test applicable to all age groups.
BACKGROUND: Identification of the Mycobacterium tuberculosis immunoproteome and antigens associated with serologic responses in adults has renewed interest in developing a serologic test for childhood tuberculosis (TB). We investigated IgG antibody responses against M. tuberculosis antigens in children with well-characterized TB. METHODS: We studied archived sera obtained from hospitalized children with suspected pulmonary TB, and classified as having confirmed TB (culture-confirmed), unlikely TB (clinical improvement without TB treatment), or unconfirmed TB (all others). A multiplexed bead-based assay for IgG antibodies against 119 M. tuberculosis antigens was developed, validated and used to test sera. The area under the curves (AUCs) of the empiric receiver-operator characteristic curves were generated as measures of predictive ability. A cross-validated generalized linear model was used to select the most predictive combinations of antigens. RESULTS: For the confirmed TB versus unlikely TB comparison, the maximal single antigen AUC was 0.63, corresponding to sensitivity 0.60 and specificity 0.60. Older (age: 60+ months old) children's responses were better predictive of TB status than younger (age: 12-59 months old) children's, with a maximal single antigen AUC of -0.76. For the confirmed TB versus unlikely TB groups, the most predictive combinations of antigens assigned TB risk probabilities of 0.33 and 0.33, respectively, when all ages were considered, and 0.57 (interquartile range: 0.48-0.64) and 0.35 (interquartile range: 0.32-0.40) when only older children were considered. CONCLUSION: An antigen-based IgG test is unlikely to meet the performance characteristics required of a TB detection test applicable to all age groups.
Authors: Shajo Kunnath-Velayudhan; Amy L Davidow; Hui-Yun Wang; Douglas M Molina; Vu T Huynh; Hugh Salamon; Richard Pine; Gerd Michel; Mark D Perkins; Liang Xiaowu; Philip L Felgner; JoAnne L Flynn; Antonino Catanzaro; Maria L Gennaro Journal: J Infect Dis Date: 2012-06-25 Impact factor: 5.226
Authors: Shajo Kunnath-Velayudhan; Hugh Salamon; Hui-Yun Wang; Amy L Davidow; Douglas M Molina; Vu T Huynh; Daniela M Cirillo; Gerd Michel; Elizabeth A Talbot; Mark D Perkins; Philip L Felgner; Xiaowu Liang; Maria L Gennaro Journal: Proc Natl Acad Sci U S A Date: 2010-07-28 Impact factor: 11.205
Authors: Lenette L Lu; Amy W Chung; Tracy R Rosebrock; Musie Ghebremichael; Wen Han Yu; Patricia S Grace; Matthew K Schoen; Fikadu Tafesse; Constance Martin; Vivian Leung; Alison E Mahan; Magdalena Sips; Manu P Kumar; Jacquelynne Tedesco; Hannah Robinson; Elizabeth Tkachenko; Monia Draghi; Katherine J Freedberg; Hendrik Streeck; Todd J Suscovich; Douglas A Lauffenburger; Blanca I Restrepo; Cheryl Day; Sarah M Fortune; Galit Alter Journal: Cell Date: 2016-09-22 Impact factor: 41.582
Authors: Christiane M Schmidt; Kathryn L Lovero; Fabiana R Carvalho; Daniele C M Dos Santos; Ana Cláudia M W Barros; Ana Paula Quintanilha; Ana Paula Barbosa; Marcos V S Pone; Sheila M Pone; Julienne Martins Araujo; Camila de Paula Martins; Solange G D Macedo; Ana Lúcia Miceli; Maria Luíza Vieira; Selma M A Sias; Adriano Queiroz; Luis Guillermo Coca Velarde; Afranio L Kritski; Andrea A Silva; Clemax C Sant'Anna; Lee W Riley; Claudete A Araújo Cardoso Journal: Tuberculosis (Edinb) Date: 2019-12-05 Impact factor: 3.131