Models of latent tuberculosis: their salient features, limitations, and development

Area of Science:

• Microbiology
• Infectious Diseases
• Drug Discovery

Background:

• Latent tuberculosis (TB) affects one-third of the global population, caused by Mycobacterium tuberculosis.
• Targeting latent TB is crucial for reducing overall TB chemotherapy duration.
• Effective drug development necessitates robust models of latent TB.

Purpose of the Study:

• To review and evaluate existing models for latent tuberculosis.
• To identify the limitations and strengths of various in vitro, in silico, and in vivo models.
• To emphasize the need for improved or complementary modeling strategies for latent TB drug discovery.

Main Methods:

• Review of in vitro models: hypoxia, nutrient starvation, and multiple stress conditions.
• Analysis of in silico mathematical models for host-pathogen interactions.
• Examination of in vivo animal models (mouse, guinea pig, rabbit) for latent TB simulation.

Main Results:

• In vitro models mimic granuloma conditions but have limitations.
• In silico models aid in predicting host-pathogen interactions and compound structures.
• In vivo models offer partial simulation but do not fully replicate human infection.

Conclusions:

• No single model perfectly replicates human latent tuberculosis.
• Existing models possess inherent merits and demerits.
• A combination of complementary models is superior to any single model for advancing latent TB research.