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FhaA plays a key role in mycobacterial polar elongation and asymmetric growth.

mBio

January 2025

Analytical Biochemistry and Proteomics Unit, Instituto de Investigaciones Biológicas Clemente Estable and Institut Pasteur de Montevideo, Montevideo, Uruguay.

Unlabelled: Mycobacteria, including pathogens like , exhibit unique growth patterns and cell envelope structures that challenge our understanding of bacterial physiology. This study sheds light on FhaA, a conserved protein in , revealing its pivotal role in coordinating cell envelope biogenesis and asymmetric growth. The elucidation of the FhaA interactome in living mycobacterial cells reveals its participation in the protein network orchestrating cell envelope biogenesis and cell elongation/division.

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Infectious diseases, including bacterial, fungal, and viral, have once again gained urgency in the drug development pipeline after the recent COVID-19 pandemic. Tuberculosis (TB) is an old infectious disease for which eradication has not yet been successful. Novel agents are required to have potential activity against both drug-sensitive and drug-resistant strains of Mycobacterium tuberculosis (Mtb), the causative agent of TB.

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Early and accurate diagnosis of pulmonary tuberculosis (TB) is key to effective outbreak management, and in humans thoracic radiography is used extensively for screening purposes. In wildlife TB radiography is a relatively accessible diagnostic tool, particularly in under-resourced settings, however its use is limited by body size. Sun bears are susceptible to human-associated TB, and their small body size makes thoracic radiography feasible.

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Background: Previous research has indicated a low tuberculin skin tests (TST) strong positive rate in school tuberculosis (TB) screening implemented by community-level medical and health care institutions in China. The research objective was to evaluate the latent tuberculosis infection (LTBI) detection gap in school contact investigation in China.

Methods: In this cross-sectional study, school contacts were investigated by Chongqing Municipal Institute of Tuberculosis between January 2022 and April 2024 in Chongqing, China.

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Risk Prediction of Liver Injury in Pediatric Tuberculosis Treatment: Development of an Automated Machine Learning Model.

Drug Des Devel Ther

January 2025

Department of Pharmacy, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, 410004, People's Republic of China.

Purpose: Drug-induced liver injury (DILI) is one of the most common and serious adverse drug reactions related to first-line anti-tuberculosis drugs in pediatric tuberculosis patients. This study aims to develop an automatic machine learning (AutoML) model for predicting the risk of anti-tuberculosis drug-induced liver injury (ATB-DILI) in children.

Methods: A retrospective study was performed on the clinical data and therapeutic drug monitoring (TDM) results of children initially treated for tuberculosis at the affiliated Changsha Central Hospital of University of South China.

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