Tuberculosis Research and Epidemiology

This study compares transcriptional responses of human alveolar macrophages and monocyte-derived macrophages to Mtb infection, identifying distinct gene expression patterns and pathways.

The paper reports the crystal structure of MtbEccC5DUF and shows it lacks ATPase activity, suggesting it may function in hexamerization during secretion.

This study uses scRNA-seq to analyze granulomatous lymph nodes from TB patients, identifying cell types, signaling networks, and Mtb RNA detection in infected cells.

This study uses multi-omics approaches to analyze myeloid cell diversity in TB granulomas and identifies IFN-γ, TGF-β, and time as factors driving macrophage diversity.

This paper investigates a novel tuberculosis vaccine strategy using a triple auxotrophic Mtb strain, showing intravenous immunization provides superior protection compared to subcutaneous BCG in mice.

This study compares transcriptomic responses of wild type and mkl-deleted M. tuberculosis strains to cholesterol and mycolic acid, revealing differential gene expression patterns and insights into adaptation strategies.

MixInfect2 accurately detects mixed Mycobacterium tuberculosis infections and estimates strain proportions, improving upon previous methods.

This study shows that loss of PDIM and PGL lipids in M. marinum reduces specific ESX-1 substrate secretion, impacting pathogenesis.

The study infects macrophages from tuberculosis patients with different MTBC lineages to show that bacterial phylogenetic diversity, not local adaptation, drives variable macrophage responses.

The paper uses cross-species modeling to identify the unfolded protein response as a key factor in the transcriptional response to Mycobacterium tuberculosis infection.

This study identifies propionylpromazine as a potent inhibitor of Mycobacterium tuberculosis growth in vitro and within macrophages, suggesting its potential as a new therapeutic agent.

This study shows that gallein and isoniazid work together to reduce Mycobacterium tuberculosis growth in human macrophages by inhibiting polyphosphate accumulation.

This paper develops a machine learning classifier to predict antibiotic resistance in Mycobacterium tuberculosis using genomic data and achieves high accuracy for first-line antibiotics.

This study identifies novel anti-TB pro-drugs based on α-aminooxyacetic acid that are effective against M. tuberculosis and show low cytotoxicity.

The paper analyzes lipid composition differences between drug-resistant and sensitive Mycobacterium tuberculosis isolates using thin layer chromatography and mass spectrometry, finding increased phospholipids and alpha-mycolic acids in resistant strains.

This study shows antibiotic treatment after primary Mtb infection reduces lung inflammation but does not eliminate protection against reinfection in macaques.

The paper quantifies the MTBC pangenome, revealing a small, closed genome with lineage-specific regions of difference and implications for virulence and drug resistance.

The paper investigates the interaction between PerM and FtsB in Mycobacterium tuberculosis, showing that PerM stabilizes FtsB through a C-terminal helix, and suggests this interaction as a therapeutic target for persistent infections.

This paper develops an autoluminescent model to assess anti-tuberculosis drugs against nonreplicating M. tuberculosis, showing real-time light output correlates with colony-forming units and reveals drug efficacy differences under anaerobic vs aerobic conditions.

This study identifies EspN as a critical transcription factor regulating the ESX-1 system in M. marinum, which is essential for macrophage infection and disease burden, but its activity is masked by EspM under laboratory conditions.

This study identifies Myc dysregulation in macrophages as a driver of TB susceptibility by linking lipid peroxidation and IFN-I pathway hyperactivity.

This study assesses the genetic stability of Mycobacterium smegmatis under first-line antitubercular agents, finding no significant increase in mutation rates but evidence of non-genetic adaptation and DNA repair activation.

This study uses whole genome sequencing of M. bovis isolates to analyze phylogenetic links between Morocco and European countries, revealing transmission routes and zoonotic connections.

This study shows that Mtb infection alters amino acid metabolism in non-pulmonary tissues of mice, with age-specific metabolic changes observed in different tissue types.

This paper identifies a Mycobacterium tuberculosis secreted protein that disrupts host snRNP biogenesis, altering RNA splicing and contributing to pathogenesis.

This study shows Mtb induces PPARγ in hepatocytes to create lipid droplets and drug-tolerant environments, contributing to systemic pathogenicity and metabolic impairments during TB infection.

This study shows that culturing Mycobacterium tuberculosis from sputum samples accurately mirrors the genetic diversity found in the original clinical samples, with high variant agreement and correlation.

The paper shows that PhoP acetylation, influenced by acidic conditions and carbon sources, affects mycobacterial growth and virulence.

The paper identifies MSMEG_0311 as an essential polar protein in mycobacteria involved in cell wall metabolism, showing growth defects and altered morphology upon its repression.

The paper uses whole-genome sequencing to analyze Mycobacterium tuberculosis complex isolates from Lebanon, identifying M. tuberculosis lineages and M. bovis clades.