Multilevel systems biology analysis identifies key immune response profiles and potential correlates of protection for M72/AS01E vaccine against tuberculosis.

ABSTRACT:

Purpose

Tuberculosis (TB) claims around 1.5 million lives annually. The M72/AS01E vaccine candidate is an innovative effort demonstrating a 50% reduction in the incidence of active TB in adults. However, optimization and effective immunization strategies against TB depends heavily on precise identification of specific molecular signatures active in vaccine protection.

Materials and methods

In this study, we employed weighted gene co-expression network analysis, machine learning, and network biology to investigate the gene expression patterns of peripheral blood mononuclear cells, identifying transcriptomic markers of vaccine protection.

Results

Our comprehensive exploration of publicly available gene expression dataset comprising samples from subjects vaccinated twice

SUBMITTER: Taofeek OO 

PROVIDER: S-EPMC12303709 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature