The capacities of differentiation of Mycobacterium bovis BCG from other members of M. tuberculosis complex species using PCR-RFLP, multiplex PCR, and PCR-based genomic deletion analysis approaches were compared. In the study, mycobacteria isolated from patients suspected of adverse events following vaccination with BCG, primarily classified according presence of RD1 marker as virulent and avirulent mycobacteria, were used. The PCR-based genomic deletion analysis was found the best option for mycobacteria diagnostics improvement, as it was capable precisely differentiate virulent and avirulent mycobacteria or virulent species of M. tuberculosis complex. The routine confirmation of mycobacteria species in the cases of adverse events following BCG vaccination is highly expected, especially in clinical practice of patients with primary immunodeficiency.

Download full-text PDF

Source

Publication Analysis

Top Keywords

tuberculosis complex
12
adverse events
12
complex species
8
bovis bcg
8
events vaccination
8
pcr-based genomic
8
genomic deletion
8
deletion analysis
8
virulent avirulent
8
avirulent mycobacteria
8

Similar Publications

Background: In Nigeria, men constitute over half of the people notified with tuberculosis (TB), experience longer delays before reaching care, and are estimated to account for two thirds of people who miss out on care. The higher TB risk and burden in men has implications for the whole population and reaching them earlier with TB services will reduce onward transmission in households, communities, and workplaces. The absence of a comprehensive guidance and the lack of substantial empirical evidence on TB care approaches that are responsive to the needs of men in Nigeria exacerbates this problem.

View Article and Find Full Text PDF

Mycobacterium tuberculosis (Mtb) complex, responsible for tuberculosis (TB) infection, continues to be a predominant global cause of mortality due to intricate host-pathogen interactions that affect disease progression. MicroRNAs (miRNAs), essential posttranscriptional regulators, have become pivotal modulators of these relationships. Recent findings indicate that miRNAs actively regulate immunological responses to Mtb complex by modulating autophagy, apoptosis, and immune cell activities.

View Article and Find Full Text PDF

Methods and Models for Studying in Respiratory Infections.

Int J Mol Sci

December 2024

Anatomy and Physiopathology Division, Department of Clinical and Experimental Sciences, University of Brescia, 25123 Brescia, Italy.

Respiratory infections, including tuberculosis, constitute a major global health challenge. Tuberculosis (TB), caused by (Mtb), remains one of the leading causes of mortality worldwide. The disease's complexity is attributed to Mtb's capacity to persist in latent states, evade host immune defenses, and develop resistance to antimicrobial treatments, posing significant challenges for diagnosis and therapy.

View Article and Find Full Text PDF

[When tuberculosis makes you deaf].

Rev Mal Respir

January 2025

Centre de lutte antituberculeuse de Nice, Hôpital Pasteur, 30, Voie Romaine, 06000 Nice, France. Electronic address:

Introduction: Tuberculous otomastoiditis is a rare and serious infection that most often occurs in association with pulmonary involvement. It is easy to diagnose when the two pathologies are associated and isolated. We herein report the case of a patient initially hospitalized for Pseudomonas aeruginosa necrotising otitis externa (NOE), which delayed the diagnosis of tuberculous otomastoiditis.

View Article and Find Full Text PDF

Background: India shares 2/3 of global TB burden. MDR and HIV coinfections are the main obstacle in achieving the successful TB control because it decrease the therapy effect.

Objective: To analyze the long-term trends of incidence of tuberculosis cases and identify any differences between actual and projected cases after the COVID-19 pandemic.

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!