Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/173782
Author(s): Silva, ML
Osório, NS
Saraiva, M
Title: Immunoinformatics Predictions on Variable Mycobacterium tuberculosis Lineage 6 T Cell Epitopes and HLA Interactions in West Africa
Publisher: MDPI
Issue Date: 2025
Abstract: Tuberculosis (TB), caused by Mycobacterium tuberculosis (Mtb), remains a global health challenge. The human-adapted TB-causing bacteria are distributed into ten lineages with distinct global distributions and clinical outcomes. Mtb lineages 4 (L4) and L6 are good prototypes of these differences, because L4 is globally prevalent, whereas L6 is geographically restricted to West Africa and associated with slower disease progression. Given the fundamental role of T cells for the control of TB, we questioned whether Mtb L4 or L6 antigens and HLA interactions would be disrupted in West African hosts. Here, we selected variable and validated antigens and demonstrate their expression during in vivo Mtb L4 or L6 infections. We then compared the predicted number of IFN-γ-inducing and HLA high-binding-affinity peptides in Mtb ancestral, L4, or L6 proteins, considering HLA alleles of high or low frequency in West Africa. Our immunoinformatics approach predicts that non-synonymous substitutions of high variance in Mtb L6 strains diminish binding affinities to HLA alleles prevalent in West African populations, suggesting specific adaptations of these strains to their preferred hosts. Future functional studies will advance our knowledge on lineage-specific evolution and inform strategies to enhance TB control in endemic regions.
Subject: antigens
co-evolution
HLA binding affinity
host–pathogen interactions
Mycobacterium tuberculosis
phylogeographic lineages
DOI: 10.3390/microorganisms13051032
URI: https://hdl.handle.net/10216/173782
Source: Microorganisms, vol.13(5):1032
Related Information: info:eu-repo/grantAgreement/FCT/POR_NORTE/2020.05061.BD/PT
Document Type: Artigo em Revista Científica Internacional
Rights: openAccess
License: https://creativecommons.org/licenses/by/4.0/
Appears in Collections:I3S - Artigo em Revista Científica Internacional

Files in This Item:
File Description SizeFormat 
microorganisms-13-01032.pdf2.82 MBAdobe PDFThumbnail
View/Open
microorganisms-13-01032-Silva_SupplementalTableS1.pdf104.88 kBAdobe PDFThumbnail
View/Open
microorganisms-13-01032-Silva_SupplementalTableS2.xlsx1.11 MBMicrosoft Excel XMLView/Open


This item is licensed under a Creative Commons License Creative Commons