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Identification of differentially recognized T cell epitopes in the spectrum of Mtb infection.
Panda, Sudhasini; Morgan, Jeffrey; Cheng, Catherine; Saito, Mayuko; Gilman, Robert H; Ciobanu, Nelly; Crudu, Valeriu; Catanzaro, Donald G; Catanzaro, Antonino; Rodwell, Timothy; Perera, Judy S B; Chathuranga, Teshan; Gunasena, Bandu; DeSilva, Aruna D; Peters, Bjoern; Sette, Alessandro; Lindestam Arlehamn, Cecilia S.
Afiliação
  • Panda S; Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA, USA.
  • Morgan J; Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA, USA.
  • Cheng C; Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA, USA.
  • Saito M; Department of Virology, Tohoku University Graduate School of Medicine, Sendai, Japan.
  • Gilman RH; Johns Hopkins School of Public Health, Baltimore, MD, USA.
  • Ciobanu N; Universidad Peruana Cayetano Heredia, Lima, Peru.
  • Crudu V; Phthisiopneumology Institute, Chisinau, Republic of Moldova.
  • Catanzaro DG; Phthisiopneumology Institute, Chisinau, Republic of Moldova.
  • Catanzaro A; Department of Biological Sciences, University of Arkansas, Fayetteville, AR, USA.
  • Rodwell T; Department of Medicine, University of California San Diego, La Jolla, CA, USA.
  • Perera JSB; Department of Medicine, University of California San Diego, La Jolla, CA, USA.
  • Chathuranga T; Faculty of Medicine, General Sir John Kotelawala Defense University, Ratmalana, Sri Lanka.
  • Gunasena B; Faculty of Medicine, General Sir John Kotelawala Defense University, Ratmalana, Sri Lanka.
  • DeSilva AD; National Hospital for Respiratory Diseases, Welisara, Sri Lanka.
  • Peters B; Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA, USA.
  • Sette A; Faculty of Medicine, General Sir John Kotelawala Defense University, Ratmalana, Sri Lanka.
  • Lindestam Arlehamn CS; Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA, USA.
bioRxiv ; 2023 Apr 13.
Article em En | MEDLINE | ID: mdl-37090558
Tuberculosis caused by Mycobacterium tuberculosis is one of the leading causes of death from a single infectious agent. Identifying dominant epitopes and comparing their reactivity in different tuberculosis (TB) infection states can help design diagnostics and vaccines. We performed a proteome-wide screen of 20,610 Mtb derived peptides in 21 Active TB (ATB) patients 3-4 months post-diagnosis of pulmonary TB (mid-treatment) using an IFNγ and IL-17 Fluorospot assay. Responses were mediated exclusively by IFNγ and identified a total of 137 unique epitopes, with each patient recognizing, on average, 8 individual epitopes and 22 epitopes (16%) recognized by 2 or more participants. Responses were predominantly directed against antigens part of the cell wall and cell processes category. Testing 517 peptides spanning TB vaccine candidates and ESAT-6 and CFP10 antigens also revealed differential recognition between ATB participants mid-treatment and healthy IGRA+ participants of several vaccine antigens. An ATB-specific peptide pool consisting of epitopes exclusively recognized by participants mid-treatment, allowed distinguishing participants with active pulmonary TB from healthy interferon-gamma release assay (IGRA)+/- participants from diverse geographical locations. Analysis of longitudinal samples indicated decreased reactivity during treatment for pulmonary TB. Together, these results show that a proteome-wide screen of T cell reactivity identifies epitopes and antigens that are differentially recognized depending on the Mtb infection stage. These have potential use in developing diagnostics and vaccine candidates and measuring correlates of protection.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article