Active Infection & Immunity

Antibiotic efficacy in the tuberculosis cellular environments

In plain English

AI plain-English summary

Tuberculosis treatment takes at least six months and requires four different antibiotics, yet doctors do not understand why the bacteria are so hard to kill inside the human body. This matters because TB remains one of the world's deadliest infectious diseases, and the long, complex treatment regimen leads many patients to stop taking their medication early, fueling drug resistance. The problem is that most antibiotic testing happens in laboratory dishes, not inside the living cells where the bacteria actually hide. The researchers suspect that different types of immune cells create different environments that either help or hinder antibiotic action, and that this cellular diversity is the missing piece. The team will track antibiotics and bacteria simultaneously inside human immune cells grown in the lab, in bioengineered mini-lung tissues, and in living mice. They will use genetically modified fluorescent tags to watch where the bacteria go and how the host cells respond. If successful, this work could reveal which cellular conditions make antibiotics work better or worse, allowing doctors to design shorter, more effective combination therapies. It could also create a pipeline for testing new TB drugs in realistic cellular environments, rather than relying on simpler models that may miss how the drugs actually behave inside infected tissues.

View original technical description
Chemotherapy of tuberculosis (TB) is not very efficient. We do not understand why it takes at least six months and a combination of four antibiotics to cure the disease. In the host, a subpopulation of Mycobacterium tuberculosis (Mtb), the bacteria that causes human TB can proliferate within host cells. However, our understanding of the cellular states that promote or restrict Mtb survival, and how they affect TB chemotherapy is lacking. We hypothesise that the intrinsic heterogeneity of infected cell populations contributes to antibiotic efficacy. Here, we aim to identify the host cellular states that increase or decrease antibiotic efficacy in TB across scales: in cellulo, using iPSC-derived human macrophages; in chip, using bioengineered iPSC- derived multicellular lung alveoli; and in vivo, using the susceptible mouse model of TB. By combining cutting-edge correlative antibiotic imaging approaches with genetically engineered fluorescent macrophages and Mtb to monitor macrophage function and Mtb location, we will define the subcellular, cellular and tissue microenvironments that impact antibiotic efficacy. These studies will (i) contribute to our understanding of how clinically relevant antibiotics work against intracellular bacteria, (ii) inform the design of combined therapies in TB, and (iii) develop relevant pipelines for the discovery of new antibiotics.

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Researchers

Maximiliano Gutierrez (EPMC Awardee)

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Original classification

Discovery Award

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