Objective: The role of Mycobacterium tuberculosis complex (MTBC) species in tuberculosis (TB) infection in human is still questioned. The aim of this study was to determine whether M. tuberculosis and M. bovis is associated with apoptosis and necroptosis by measuring the expression of specific signaling pathways components (Fas-associated protein with death domain (FADD) and receptor interacting protein 3 (RIP3)), and the level of apoptosis.
Results: We recruited 30 patients with pulmonary TB; 24 patients were infected with M. tuberculosis Beijing strain and six patients with M. bovis BCG strain. M. tuberculosis-infected patients were more likely to have severe lung damage compared to those infected with M. bovis (odds ratio [OR] 7.60; 95% confidence interval [CI] 1.07-54.09). M. tuberculosis infection was associated with lower expression of FADD and lower apoptosis level of macrophages compared to M. bovis. No significant different of RIP3 between MTBC species groups. In conclusion, M. tuberculosis Beijing strain was associated with severe pulmonary damage, inhibited FADD expression and reduced apoptosis level of macrophages derived from pulmonary TB patients. This suggests that the M. tuberculosis Beijing strain is potentially to be used as determinant of disease progressivity and tissue damage in TB cases.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7487900 | PMC |
http://dx.doi.org/10.1186/s13104-020-05256-2 | DOI Listing |
Introduction: The presented analysis was conducted against the background of the global pandemic and the Russian-Ukrainian war. The conflict on Poland's eastern border in particular raised concerns that the epidemiological situation in Poland would deteriorate due to the influx of immigrants from countries with a high incidence of MDR-TB and Beijing genotype.
Objectives: To assess the epidemiological situation of MDR-TB in Poland in 2018-2022 and to analyse the prevalence of the Beijing genotype in the Polish and immigrant populations.
Imeta
December 2024
Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen Chinese Academy of Agricultural Sciences Shenzhen China.
The Conference 2024 provides a platform to promote the development of an innovative scientific research ecosystem for microbiome and One Health. The four key components - Technology, Research (Biology), Academic journals, and Social media - form a synergistic ecosystem. Advanced technologies drive biological research, which generates novel insights that are disseminated through academic journals.
View Article and Find Full Text PDFBrief Bioinform
November 2024
Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Chaoyang District, Beijing 100020, China.
Drug resistance in Mycobacterium tuberculosis (Mtb) is a significant challenge in the control and treatment of tuberculosis, making efforts to combat the spread of this global health burden more difficult. To accelerate anti-tuberculosis drug discovery, repurposing clinically approved or investigational drugs for the treatment of tuberculosis by computational methods has become an attractive strategy. In this study, we developed a virtual screening workflow that combines multiple machine learning and deep learning models, and 11 576 compounds extracted from the DrugBank database were screened against Mtb.
View Article and Find Full Text PDFBMC Infect Dis
December 2024
Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu Province, PR China.
Background: This study aimed to evaluate the diagnostic performance of ESAT6-CFP10 (EC) skin test in healthy population and determine the factors influencing the booster effect.
Methods: We conducted a randomized, double-blind, parallel controlled trial in healthy population. The experiment was divided into two stages.
J Natl Cancer Cent
December 2024
Department of Medical Oncology, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!