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Predicting susceptibility to tuberculosis based on gene expression profiling in dendritic cells.

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Predicting tuberculosis (TB) susceptibility is now possible. Gene expression in non-infected cells can classify individuals at risk for developing active TB, paving the way for early intervention.

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Area of Science:

  • Immunology
  • Genetics
  • Infectious Diseases

Background:

  • Tuberculosis (TB) remains a major global health threat, caused by Mycobacterium tuberculosis (MTB).
  • While many are infected with MTB, only a fraction develop active TB, indicating a need to understand susceptibility.
  • Current methods cannot predict which individuals will progress from latent to active TB.

Purpose of the Study:

  • To investigate gene expression differences between individuals resistant and susceptible to TB.
  • To explore the potential of gene expression profiles for classifying TB susceptibility.
  • To identify genetic factors associated with TB susceptibility.

Main Methods:

  • Infection of dendritic cells (DCs) from latent TB (resistant) and recovered active TB (susceptible) individuals with MTB.
  • Measurement of gene expression levels in infected and non-infected cells.
  • Analysis of genetic polymorphisms near differentially expressed genes and training a predictive classifier.

Main Results:

  • Hundreds of differentially expressed genes were identified between susceptible and resistant individuals in non-infected cells.
  • Genetic polymorphisms near these genes showed association with TB susceptibility in GWAS data.
  • A classifier trained on gene expression from non-infected cells demonstrated reasonable predictive performance.

Conclusions:

  • Gene expression profiles in non-infected cells can distinguish between TB-susceptible and resistant individuals.
  • This approach holds promise for developing a predictive classifier for TB susceptibility.
  • Further validation in larger cohorts is warranted to enable accurate prediction of TB risk.