Whole blood transcriptional profiles and the pathogenesis of tuberculous meningitis

Hoang Thanh Hai1, Le Thanh Hoang Nhat1, Trinh Thi Bich Tram1

  • 1Oxford University Clinical Research Unit, Ho Chi Minh City, Viet Nam.

Elife
|October 30, 2024
PubMed

Insights

Tuberculous meningitis (TBM) mortality is linked to inflammation. This study identified key genes and pathways, including neutrophil activation and T/B cell responses, predicting death and offering potential therapeutic targets.

Area of Science:

  • Immunology
  • Genetics
  • Infectious Diseases

Background:

  • Tuberculous meningitis (TBM) causes significant mortality and morbidity, largely due to inflammation from Mycobacterium tuberculosis.
  • The precise mechanisms driving TBM pathogenesis and mortality remain incompletely understood.
  • Identifying genetic and pathway-level differences can illuminate disease progression and inform treatment.

Purpose of the Study:

  • To identify genes and molecular pathways associated with TBM pathogenesis and mortality.
  • To determine the most effective predictors of death in TBM patients.
  • To explore differences in TBM molecular signatures between HIV-positive and HIV-negative individuals.

Main Methods:

  • Whole-blood RNA sequencing was performed on 281 TBM patients, 295 pulmonary tuberculosis (PTB) patients, and 30 healthy controls.
  • Weighted gene co-expression network analysis (WGCNA) was used to identify key genes and pathways.
  • Multivariate Cox regression and logistic regression models were employed to identify mortality predictors.

Main Results:

  • Distinct gene expression patterns and pathway associations with mortality were observed between HIV-positive and HIV-negative TBM patients.
  • Increased neutrophil activation and decreased T and B cell activation were significantly associated with TBM mortality.
  • Four genes (MCEMP1, NELL2, ZNF354C, CD4) emerged as strong predictors of TBM mortality.

Conclusions:

  • TBM induces a systemic inflammatory response comparable to PTB, with specific immune dysregulations contributing to mortality.
  • Identifying these molecular pathways and predictive genes offers insights into potential therapeutic strategies for TBM.
  • A novel four-gene biomarker has been identified for predicting TBM patient outcomes.

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