Tuberculosis Research and Epidemiology

This paper identifies Rv3284 (SufEMtb) as a new activator of Mtb's SseA enzyme, revealing a regulatory mechanism that could be targeted for tuberculosis therapy.

This study uses spatial transcriptomics to analyze HIV and tuberculosis coinfection in humanized mice, revealing distinct immune cell infiltration patterns and transcriptional signatures in early infection stages.

This study shows that altering macrophage metabolism can reduce drug tolerance in Mycobacterium tuberculosis by affecting bacterial redox states.

This study shows that CD8+ T cells prevent reactivation of latent Mtb infection after immunosuppression, while B cells are not required for this protection.

TOAST optimises amplicon design for tuberculosis genomic studies, enabling high-throughput sequencing of drug resistance mutations across multiple platforms.

The paper analyzes macrophages infected with avirulent and virulent Mtb and their exosomes, revealing distinct immune mechanisms and the anti-TB effects of treated exosomes.

This study shows that autologous host-pathogen pairing in an in vitro granuloma model leads to lower bacterial loads and increased Th1 cytokines at 7 days but not later, highlighting the role of host-pathogen interactions in TB.

This study shows that pyrazinamide's bactericidal activity against Mycobacterium tuberculosis is enhanced by host-derived reactive oxygen species and thiol oxidation, highlighting the role of oxidative stress in PZA efficacy.

This study evaluates four peptides derived from EsxG·EsxH as subunit vaccines to boost BCG vaccination in mice, showing improved survival, reduced bacillary load, and less tissue damage.

The paper identifies a humoral correlate of protection against tuberculosis in humans and non-human primates, showing cross-species and vaccine regimen consistency.

This study compares immune responses to drug-sensitive and drug-resistant M. tuberculosis isolates, finding differences in cytokine secretion and ROS production between PPD-positive and PPD-negative individuals.

The paper introduces CRESTA, a method to analyze CD4 T cell epitope specificities and phenotypes, revealing diverse responses to Mycobacterium tuberculosis.

This study validates DXS as a drug target in mycobacteria by showing its essential role in growth and sensitivity to TB drugs.

This study uses single-cell RNA-seq to show reduced type-II interferon and elevated Th17 responses in lung immune cells of diabetes-tuberculosis comorbid mice.

This study identifies breed-specific immune signatures associated with tuberculosis susceptibility in Sahiwal and crossbred cattle through transcriptomic analysis of PBMC responses to M. tuberculosis and BCG.

The paper analyzes copy number variations in 9,482 Mycobacterium tuberculosis isolates to identify lineage-specific molecular determinants associated with virulence and drug resistance.

The paper identifies a Q135K mutation in uvrA of Mycobacterium tuberculosis that confers survival advantage under oxidative stress and in macrophages, enhancing host adaptability.

The paper identifies SPP1-positive macrophages in mycobacterial lung granulomas using single-cell spatial analysis and links their SPP1-CD44 signaling to granuloma pathology.

The paper uses genomic data and phylodynamic models to show that Mycobacterium tuberculosis lineages have similar infectiousness durations but differ in onset timing, affecting transmission dynamics.

This study performs a deep mutational scan on EccD3 in M. smegmatis to understand its role in the ESX-3 secretion system and its importance for mycobacterial survival.

This paper describes an in vitro protocol to study the interaction between SARS-CoV-2 and Mycobacterium tuberculosis in lung epithelial cells.

This study uses single-cell and spatial transcriptomics to analyze human tuberculosis granulomas, revealing a three-layer structure and identifying potential therapeutic targets.

This study evolves Mycobacterium tuberculosis biofilms to examine adaptation mechanisms, finding that genetic variation and mutational biases influence replicability and that some biofilm-associated mutations are common in natural TB infections.

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.

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