The role of immunoinformatics in the development of T-cell peptide-based vaccines against Mycobacterium tuberculosis

Expert Rev Vaccines. 2020 Sep;19(9):831-841. doi: 10.1080/14760584.2020.1825950. Epub 2020 Oct 8.

Abstract

Introduction: Tuberculosis (TB) is a major health problem worldwide. The BCG, the only authorized vaccine to fight TB, shows a variable protection in the adult population highlighting the need of a new vaccine. Immunoinformatics offers a variety of tools that can predict immunogenic T-cell peptides of Mycobacterium tuberculosis (Mtb) that can be used to create a new vaccine. Immunoinformatics has made possible the identification of immunogenic T-cell peptides of Mtb that have been tested in vitro showing a potential for using these molecules as part of a new TB vaccine.

Areas covered: This review summarizes the most common immunoinformatics tools to identify immunogenic T-cell peptides and presents a compilation about research studies that have identified T-cell peptides of Mtb by using immunoinformatics. Also, it is provided a summary of the TB vaccines undergoing clinical trials.

Expert opinion: In the next few years, the field of peptide-based vaccines will keep growing along with the development of more efficient and sophisticated immunoinformatic tools to identify immunogenic peptides with a greater accuracy.

Keywords: Mycobacterium tuberculosis; T-cell peptides; Tuberculosis; immunoinformatics; peptide vaccine.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Humans
  • Molecular Dynamics Simulation
  • Mycobacterium tuberculosis / immunology*
  • Peptides / immunology
  • T-Lymphocytes / immunology
  • Tuberculosis / immunology
  • Tuberculosis / prevention & control*
  • Tuberculosis Vaccines / administration & dosage*
  • Tuberculosis Vaccines / immunology
  • Vaccines, Subunit / immunology

Substances

  • Peptides
  • Tuberculosis Vaccines
  • Vaccines, Subunit