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New Genome-Wide Algorithm Identifies Novel In-Vivo Expressed Mycobacterium Tuberculosis Antigens Inducing Human T-Cell Responses with Classical and Unconventional Cytokine Profiles.
Coppola, Mariateresa; van Meijgaarden, Krista E; Franken, Kees L M C; Commandeur, Susanna; Dolganov, Gregory; Kramnik, Igor; Schoolnik, Gary K; Comas, Inaki; Lund, Ole; Prins, Corine; van den Eeden, Susan J F; Korsvold, Gro E; Oftung, Fredrik; Geluk, Annemieke; Ottenhoff, Tom H M.
Affiliation
  • Coppola M; Department of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands.
  • van Meijgaarden KE; Department of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands.
  • Franken KL; Department of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands.
  • Commandeur S; Department of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands.
  • Dolganov G; Department Microbiology Immunology, Stanford Univ. School of Medicine, Stanford, USA.
  • Kramnik I; Department Immunology Infectious Diseases, Harvard School of Public Health, Boston, USA.
  • Schoolnik GK; Department Microbiology Immunology, Stanford Univ. School of Medicine, Stanford, USA.
  • Comas I; Institute of Biomedicine of Valencia (IBV-CSIC), Valencia, Spain.
  • Lund O; CIBER in Epidemiology and Public Health, Madrid, Spain.
  • Prins C; Dept. Systems Biology, Technical Univ., Denmark.
  • van den Eeden SJ; Department of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands.
  • Korsvold GE; Department of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands.
  • Oftung F; Department of Infectious Disease Immunology, Domain for Infection Control and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway.
  • Geluk A; Department of Infectious Disease Immunology, Domain for Infection Control and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway.
  • Ottenhoff TH; Department of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands.
Sci Rep ; 6: 37793, 2016 11 28.
Article in En | MEDLINE | ID: mdl-27892960
New strategies are needed to develop better tools to control TB, including identification of novel antigens for vaccination. Such Mtb antigens must be expressed during Mtb infection in the major target organ, the lung, and must be capable of eliciting human immune responses. Using genome-wide transcriptomics of Mtb infected lungs we developed data sets and methods to identify IVE-TB (in-vivo expressed Mtb) antigens expressed in the lung. Quantitative expression analysis of 2,068 Mtb genes from the predicted first operons identified the most upregulated IVE-TB genes during in-vivo pulmonary infection. By further analysing high-level conservation among whole-genome sequenced Mtb-complex strains (n = 219) and algorithms predicting HLA-class-Ia and II presented epitopes, we selected the most promising IVE-TB candidate antigens. Several of these were recognized by T-cells from in-vitro Mtb-PPD and ESAT6/CFP10-positive donors by proliferation and multi-cytokine production. This was validated in an independent cohort of latently Mtb-infected individuals. Significant T-cell responses were observed in the absence of IFN-γ-production. Collectively, the results underscore the power of our novel antigen discovery approach in identifying Mtb antigens, including those that induce unconventional T-cell responses, which may provide important novel tools for TB vaccination and biomarker profiling. Our generic approach is applicable to other infectious diseases.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / T-Lymphocytes / Genome, Human / Cytokines / Antigens, Bacterial Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Animals / Humans Language: En Journal: Sci Rep Year: 2016 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / T-Lymphocytes / Genome, Human / Cytokines / Antigens, Bacterial Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Animals / Humans Language: En Journal: Sci Rep Year: 2016 Document type: Article Affiliation country: Country of publication: