Recent advances in microbiological and molecular biological detection techniques of tuberculous meningitis.
Mycobacterium tuberculosis
microbiology
molecular biology
research progress
tuberculous meningitis
Journal
Frontiers in microbiology
ISSN: 1664-302X
Titre abrégé: Front Microbiol
Pays: Switzerland
ID NLM: 101548977
Informations de publication
Date de publication:
2023
2023
Historique:
received:
10
04
2023
accepted:
21
07
2023
medline:
13
9
2023
pubmed:
13
9
2023
entrez:
13
9
2023
Statut:
epublish
Résumé
Tuberculous meningitis (TBM) is the most common type of central nervous system tuberculosis (TB) and has the highest mortality and disability rate. Early diagnosis is key to improving the prognosis and survival rate of patients. However, laboratory diagnosis of TBM is often difficult due to its paucibacillary nature and sub optimal sensitivity of conventional microbiology and molecular tools which often fails to detect the pathogen. The gold standard for TBM diagnosis is the presence of MTB in the CSF. The recognised methods for the identification of MTB are acid-fast bacilli (AFB) detected under CSF smear microscopy, MTB cultured in CSF, and MTB detected by polymerase chain reaction (PCR). Currently, many studies consider that all diagnostic techniques for TBM are not perfect, and no single technique is considered simple, fast, cheap, and efficient. A definite diagnosis of TBM is still difficult in current clinical practice. In this review, we summarise the current state of microbiological and molecular biological diagnostics for TBM, the latest advances in research, and discuss the advantages of these techniques, as well as the issues and challenges faced in terms of diagnostic effectiveness, laboratory infrastructure, testing costs, and clinical expertise, for clinicians to select appropriate testing methods.
Identifiants
pubmed: 37700862
doi: 10.3389/fmicb.2023.1202752
pmc: PMC10494440
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
1202752Informations de copyright
Copyright © 2023 Cao, Leng, Liu, Zhou, Luo, Xiang, Cai, Rao, Hu, Zhang and Wen.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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