Open Access
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volume 51 pages 100665

Targeted Next Generation Sequencing (tNGS) for detection of drug-resistant tuberculous meningitis: Is this sequencing technology ready for prime time?

Priti Kambli 1
Kanchan Ajbani 2
Amala A. Andrews 3
Priya Ranganathan 4
Anjali Shetty 5
Anjali Shetty 5
Tanvi Patil 6
Ishita Mehta 7
Camilla Rodrigues 9
1
 
Microbiology Section, Department of Laboratory Medicine, P.D. Hinduja National Hospital and Medical Research Centre, Mumbai, India. Electronic address: pritikambli03@gmail.com.
2
 
Microbiology Section, Department of Laboratory Medicine, P.D. Hinduja National Hospital and Medical Research Centre, Mumbai, India. Electronic address: k.ajbani03@gmail.com.
4
 
Microbiology Section, Department of Laboratory Medicine, P.D. Hinduja National Hospital and Medical Research Centre, Mumbai, India. Electronic address: dr_shaoli.basu@hindujahospital.com.
5
 
Microbiology Section, Department of Laboratory Medicine, P.D. Hinduja National Hospital and Medical Research Centre, Mumbai, India. Electronic address: dr_ashetty@hindujahospital.com.
6
 
ICMR-National Institute of Immunohematology, India. Electronic address: patil.tanvirc1630@gmail.com.
7
 
Lilac Insights Pvt Ltd, India. Electronic address: mehtaishita96@gmail.com.
8
 
Bioinformatics Section, Indian Council of Medical Research, New Delhi Area, India. Electronic address: hsingh@bmi.icmr.org.in.
9
 
Microbiology Section, Department of Laboratory Medicine, P.D. Hinduja National Hospital and Medical Research Centre, Mumbai, India. Electronic address: dr_crodrigues@hindujahospital.com.
Publication typeJournal Article
Publication date2024-09-01
scimago Q3
wos Q4
SJR0.366
CiteScore2.4
Impact factor1.3
ISSN02550857, 19983646
Abstract
Tuberculous meningitis (TBM) is the most severe form of tuberculosis (TB). Difficulty in diagnosing the condition along with other factors, increases its potential for high morbidity and mortality. Targeted Next Generation Sequencing (tNGS) generates high quality sequence read depths, enabling the identification of low-frequency alleles linked to Drug resistance (DR). The paucibacillary nature of tuberculous meningitis is a challenge for making a definitive diagnosis.
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GOST Copy
Kambli P. et al. Targeted Next Generation Sequencing (tNGS) for detection of drug-resistant tuberculous meningitis: Is this sequencing technology ready for prime time? // Indian Journal of Medical Microbiology. 2024. Vol. 51. p. 100665.
GOST all authors (up to 50) Copy
Kambli P., Ajbani K., Andrews A. A., Ranganathan P., Shetty A., Shetty A., Patil T., Mehta I., Singh H., Rodrigues C. Targeted Next Generation Sequencing (tNGS) for detection of drug-resistant tuberculous meningitis: Is this sequencing technology ready for prime time? // Indian Journal of Medical Microbiology. 2024. Vol. 51. p. 100665.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1016/j.ijmmb.2024.100665
UR - https://linkinghub.elsevier.com/retrieve/pii/S0255085724001403
TI - Targeted Next Generation Sequencing (tNGS) for detection of drug-resistant tuberculous meningitis: Is this sequencing technology ready for prime time?
T2 - Indian Journal of Medical Microbiology
AU - Kambli, Priti
AU - Ajbani, Kanchan
AU - Andrews, Amala A.
AU - Ranganathan, Priya
AU - Shetty, Anjali
AU - Shetty, Anjali
AU - Patil, Tanvi
AU - Mehta, Ishita
AU - Singh, Harpreet
AU - Rodrigues, Camilla
PY - 2024
DA - 2024/09/01
PB - Elsevier
SP - 100665
VL - 51
PMID - 38986772
SN - 0255-0857
SN - 1998-3646
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2024_Kambli,
author = {Priti Kambli and Kanchan Ajbani and Amala A. Andrews and Priya Ranganathan and Anjali Shetty and Anjali Shetty and Tanvi Patil and Ishita Mehta and Harpreet Singh and Camilla Rodrigues},
title = {Targeted Next Generation Sequencing (tNGS) for detection of drug-resistant tuberculous meningitis: Is this sequencing technology ready for prime time?},
journal = {Indian Journal of Medical Microbiology},
year = {2024},
volume = {51},
publisher = {Elsevier},
month = {sep},
url = {https://linkinghub.elsevier.com/retrieve/pii/S0255085724001403},
pages = {100665},
doi = {10.1016/j.ijmmb.2024.100665}
}
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