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1.
Tunis Med ; 102(8): 440-446, 2024 Aug 05.
Article in French | MEDLINE | ID: mdl-39129569

ABSTRACT

Tuberculous meningitis, a severe form of tuberculosis caused by Mycobacterium tuberculosis (BK), remains a major public health challenge worldwide. In addition to the complex mechanisms of the innate and adaptive immune response against Mycobacterium tuberculosis, there is a crucial genetic dimension to consider. Individuals with specific genetic variations may have altered immune responses that make them more susceptible to this form of tuberculosis. Genetic mutations in genes encoding surface receptors, adaptor proteins, kinases, transcription factors, nucleic receptors and other molecules involved in cellular interactions and molecular mechanisms have been associated with susceptibility to TB. Understanding the molecular mechanisms of immune interactions in host response to Mycobacterium tuberculosis is crucial to understanding the genetic dimension in susceptibility to tuberculosis, particularly its dreaded form of tuberculous meningitis. The aim of this update is to explore in details the key interactions between the main players in innate and adaptive immunity during infection with Mycobacterium tuberculosis, with particular emphasis on the genetic factors associated with susceptibility to tuberculosis, especially its dreaded form of tuberculous meningitis.


Subject(s)
Genetic Predisposition to Disease , Mycobacterium tuberculosis , Tuberculosis, Meningeal , Humans , Tuberculosis, Meningeal/genetics , Tuberculosis, Meningeal/immunology , Mycobacterium tuberculosis/immunology , Immunity, Innate/genetics , Adaptive Immunity/genetics
2.
Tunis Med ; 102(7): 410-414, 2024 Jul 05.
Article in English | MEDLINE | ID: mdl-38982965

ABSTRACT

INTRODUCTION: Morocco has made remarkable progress in the fight against tuberculosis, but the Covid-19 pandemic has affected tuberculosis control worldwide, with notable fluctuations in tuberculosis epidemiology during and after the pandemic. AIM: To describe the impact of the Covid-19 pandemic on the rate of hospitalization for tuberculosis and its different localizations in children. METHODS: We conducted a retrospective study based on the analysis of medical records of TB patients hospitalized within the Children's Hospital in Casablanca, during the periods before (2018-2019), during (2020) and after (2021-2022) Covid-19 quarantine. RESULTS: Throughout the study period (2018-2022), the total number of patients hospitalized in our department was 7390, including 283 children were hospitalized for tuberculosis, with a mean age of 6 years. Before the Covid-19 pandemic, the average number of tuberculosis cases was 49 per year, of which the percentage of pulmonary tuberculosis was 32% and extra-pulmonary tuberculosis 68%. The number of cases was 23 per year during the quarantine period, with a percentage of pulmonary tuberculosis of 26% and extra-pulmonary tuberculosis of 74%. After the quarantine period, this number rose to 81 cases per year, of which 21% were pulmonary tuberculosis and 79% extrapulmonary tuberculosis (pleural tuberculosis was predominant in 44.1% of cases). CONCLUSION: These results are consistent with data published by the World Health Organization, and with the findings of another study we carried out on the impact of COVID-19 on hospital admissions for acute lower respiratory tract infections. It is very likely that the reduction in the number of tuberculosis cases during the quarantine period is due to social distancing, which leads to a reduction in the transmission of tuberculosis between people as well as to the disruption of the national tuberculosis control program in Morocco, when positive cases are identified.


Subject(s)
COVID-19 , Hospitalization , Tuberculosis , Humans , COVID-19/epidemiology , Child , Hospitalization/statistics & numerical data , Retrospective Studies , Morocco/epidemiology , Female , Male , Tuberculosis/epidemiology , Child, Preschool , Adolescent , Quarantine , Tuberculosis, Pulmonary/epidemiology , Infant , Hospitals, Pediatric/statistics & numerical data
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