Transcriptional Profiling of Mycobacterium tuberculosis Exposed to In Vitro Lysosomal Stress.

Infect Immun

Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore Immunology Programme, Life Sciences Institute, National University of Singapore, Singapore Infectious Disease Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, Singapore

Published: September 2016

Increasing experimental evidence supports the idea that Mycobacterium tuberculosis has evolved strategies to survive within lysosomes of activated macrophages. To further our knowledge of M. tuberculosis response to the hostile lysosomal environment, we profiled the global transcriptional activity of M. tuberculosis when exposed to the lysosomal soluble fraction (SF) prepared from activated macrophages. Transcriptome sequencing (RNA-seq) analysis was performed using various incubation conditions, ranging from noninhibitory to cidal based on the mycobacterial replication or killing profile. Under inhibitory conditions that led to the absence of apparent mycobacterial replication, M. tuberculosis expressed a unique transcriptome with modulation of genes involved in general stress response, metabolic reprogramming, respiration, oxidative stress, dormancy response, and virulence. The transcription pattern also indicates characteristic cell wall remodeling with the possible outcomes of increased infectivity, intrinsic resistance to antibiotics, and subversion of the host immune system. Among the lysosome-specific responses, we identified the glgE-mediated 1,4 α-glucan synthesis pathway and a defined group of VapBC toxin/anti-toxin systems, both of which represent toxicity mechanisms that potentially can be exploited for killing intracellular mycobacteria. A meta-analysis including previously reported transcriptomic studies in macrophage infection and in vitro stress models was conducted to identify overlapping and nonoverlapping pathways. Finally, the Tap efflux pump-encoding gene Rv1258c was selected for validation. An M. tuberculosis ΔRv1258c mutant was constructed and displayed increased susceptibility to killing by lysosomal SF and the antimicrobial peptide LL-37, as well as attenuated survival in primary murine macrophages and human macrophage cell line THP-1.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4995911PMC
http://dx.doi.org/10.1128/IAI.00072-16DOI Listing

Publication Analysis

Top Keywords

mycobacterium tuberculosis
8
tuberculosis exposed
8
activated macrophages
8
mycobacterial replication
8
tuberculosis
6
transcriptional profiling
4
profiling mycobacterium
4
exposed vitro
4
lysosomal
4
vitro lysosomal
4

Similar Publications

Mycobacteria infections are caused by species of the Mycobacterium tuberculosis complex (MTB) and other species called Non-Tuberculosis Mycobacteria (NTM). Identification of mycobacteria species is very important to define treatment and it can be achieved by direct culture. However, the lack of clear protocols regarding the use of culture or molecular tests on specimens diagnosed with granulomatous lesions causes delays in the diagnosis of the etiological agents and, consequently, the definition of the right treatment.

View Article and Find Full Text PDF

Tuberculous osteo-arthritis unmasked through unusual elbow swelling: A case report.

Int J Surg Case Rep

December 2024

University of Tunis El Manar, Tunis Faculty of Medicine, 1007, Tunisia; Department of Orthopedic Surgery, Hospital Mongi Slim La Marsa, Tunisia.

Introduction And Importance: Tuberculous osteoarthritis, a rare condition affecting the elbow in 1-5 % of cases, poses diagnostic challenges due to its subtle clinical presentation, often resulting in delayed diagnosis. Herein, we present a case of tuberculous osteoarthritis involving the elbow joint. Our aim is to underscore the complexities associated with diagnosing this condition and to emphasize the critical importance of early recognition and appropriate management strategies for optimal patient outcomes.

View Article and Find Full Text PDF

Aim: To study the adverse reactions that develop as a result of complex antibiotic therapy in patients with non-tuberculous lung mycobacterial (NTML) and to determine methods for their elimination without compromising the effectiveness of NTML treatment.

Materials And Methods: Examined 147 patients with confirmed NTML, for which they received treatment in accordance with the results of drug susceptibility of the pathogen. Before and during treatment, a study of clinical, biochemical blood tests, urinalysis, electrocardiogram, external respiration function, ultrasound of the abdominal organs and kidneys was performed.

View Article and Find Full Text PDF

Objectives: This study evaluates the effectiveness of nanopore sequencing for accurate detection of Mycobacterium tuberculosis pathogens and drug resistance mutations in clinical specimens.

Methods: A retrospective analysis of 2,421 specimens from suspected tuberculosis patients admitted to Xi'an Chest Hospital from 2022 to 2023 was conducted, with 131 specimens undergoing via real-time, fluorescence-based quantitative Polymerase Chain Reaction (qPCR), simultaneous amplification and testing RNA (RNA), Mycobacterium culture, Mycobacterium smear, and nanopore sequencing. Employing clinical tuberculosis diagnoses as the gold standard, sensitivity, specificity, positive predictive value, negative predictive value, concordance rate, and Kappa coefficient were measured for the five detection techniques.

View Article and Find Full Text PDF

Background: Metagenomic next-generation sequencing (mNGS) has emerged as a promising tool in clinical practice due to its unbiased approach to pathogen detection. Its diagnostic performance in pulmonary tuberculosis (PTB), however, remains to be fully evaluated.

Objective: This study aims to systematically review and Meta-analyze the diagnostic accuracy of mNGS in patients with PTB.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!