Investigation of acute encephalitis syndrome with implementation of metagenomic next generation sequencing in Nepal.


Journal

BMC infectious diseases
ISSN: 1471-2334
Titre abrégé: BMC Infect Dis
Pays: England
ID NLM: 100968551

Informations de publication

Date de publication:
25 Jul 2024
Historique:
received: 26 02 2024
accepted: 17 07 2024
medline: 26 7 2024
pubmed: 26 7 2024
entrez: 25 7 2024
Statut: epublish

Résumé

The causative agents of Acute Encephalitis Syndrome remain unknown in 68-75% of the cases. In Nepal, the cases are tested only for Japanese encephalitis, which constitutes only about 15% of the cases. However, there could be several organisms, including vaccine-preventable etiologies that cause acute encephalitis, when identified could direct public health efforts for prevention, including addressing gaps in vaccine coverage. This study employs metagenomic next-generation-sequencing in the investigation of underlying causative etiologies contributing to acute encephalitis syndrome in Nepal. In this study, we investigated 90, Japanese-encephalitis-negative, banked cerebrospinal fluid samples that were collected as part of a national surveillance network in 2016 and 2017. Randomization was done to include three age groups (< 5-years; 5-14-years; >15-years). Only some metadata (age and gender) were available. The investigation was performed in two batches which included total nucleic-acid extraction, followed by individual library preparation (DNA and RNA) and sequencing on Illumina iSeq100. The genomic data were interpreted using Chan Zuckerberg-ID and confirmed with polymerase-chain-reaction. Human-alphaherpes-virus 2 and Enterovirus-B were seen in two samples. These hits were confirmed by qPCR and semi-nested PCR respectively. Most of the other samples were marred by low abundance of pathogen, possible freeze-thaw cycles, lack of process controls and associated clinical metadata. From this study, two documented causative agents were revealed through metagenomic next-generation-sequencing. Insufficiency of clinical metadata, process controls, low pathogen abundance and absence of standard procedures to collect and store samples in nucleic-acid protectants could have impeded the study and incorporated ambiguity while correlating the identified hits to infection. Therefore, there is need of standardized procedures for sample collection, inclusion of process controls and clinical metadata. Despite challenging conditions, this study highlights the usefulness of mNGS to investigate diseases with unknown etiologies and guide development of adequate clinical-management-algorithms and outbreak investigations in Nepal.

Sections du résumé

BACKGROUND BACKGROUND
The causative agents of Acute Encephalitis Syndrome remain unknown in 68-75% of the cases. In Nepal, the cases are tested only for Japanese encephalitis, which constitutes only about 15% of the cases. However, there could be several organisms, including vaccine-preventable etiologies that cause acute encephalitis, when identified could direct public health efforts for prevention, including addressing gaps in vaccine coverage.
OBJECTIVES OBJECTIVE
This study employs metagenomic next-generation-sequencing in the investigation of underlying causative etiologies contributing to acute encephalitis syndrome in Nepal.
METHODS METHODS
In this study, we investigated 90, Japanese-encephalitis-negative, banked cerebrospinal fluid samples that were collected as part of a national surveillance network in 2016 and 2017. Randomization was done to include three age groups (< 5-years; 5-14-years; >15-years). Only some metadata (age and gender) were available. The investigation was performed in two batches which included total nucleic-acid extraction, followed by individual library preparation (DNA and RNA) and sequencing on Illumina iSeq100. The genomic data were interpreted using Chan Zuckerberg-ID and confirmed with polymerase-chain-reaction.
RESULTS RESULTS
Human-alphaherpes-virus 2 and Enterovirus-B were seen in two samples. These hits were confirmed by qPCR and semi-nested PCR respectively. Most of the other samples were marred by low abundance of pathogen, possible freeze-thaw cycles, lack of process controls and associated clinical metadata.
CONCLUSION CONCLUSIONS
From this study, two documented causative agents were revealed through metagenomic next-generation-sequencing. Insufficiency of clinical metadata, process controls, low pathogen abundance and absence of standard procedures to collect and store samples in nucleic-acid protectants could have impeded the study and incorporated ambiguity while correlating the identified hits to infection. Therefore, there is need of standardized procedures for sample collection, inclusion of process controls and clinical metadata. Despite challenging conditions, this study highlights the usefulness of mNGS to investigate diseases with unknown etiologies and guide development of adequate clinical-management-algorithms and outbreak investigations in Nepal.

Identifiants

pubmed: 39054413
doi: 10.1186/s12879-024-09628-y
pii: 10.1186/s12879-024-09628-y
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

734

Informations de copyright

© 2024. The Author(s).

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Auteurs

Shrestha Rajeev (S)

Center for Infectious Disease Research and Surveillance, Dhulikhel Hospital Kathmandu University Hospital, Dhulikhel, Nepal. rajeev.shrestha@kusms.edu.np.
Department of Pharmacology, Kathmandu University School of Medical Sciences, Dhulikhel, Nepal. rajeev.shrestha@kusms.edu.np.
Molecular and Genome Sequencing Research Lab, Dhulikhel Hospital Kathmandu University Hospital, Dhulikhel, Nepal. rajeev.shrestha@kusms.edu.np.

Katuwal Nishan (K)

Center for Infectious Disease Research and Surveillance, Dhulikhel Hospital Kathmandu University Hospital, Dhulikhel, Nepal.
Molecular and Genome Sequencing Research Lab, Dhulikhel Hospital Kathmandu University Hospital, Dhulikhel, Nepal.

Tamrakar Dipesh (T)

Center for Infectious Disease Research and Surveillance, Dhulikhel Hospital Kathmandu University Hospital, Dhulikhel, Nepal.
Department of Community Medicine, Kathmandu University School of Medical Sciences, Dhulikhel, Nepal.

Tato Cristina M (TC)

Rapid Response Team, Chan Zuckerberg Biohub, San Francisco, USA.

Vanaerschot Manu (V)

Rapid Response Team, Chan Zuckerberg Biohub, San Francisco, USA.

Ahyong Vida (A)

Rapid Response Team, Chan Zuckerberg Biohub, San Francisco, USA.

Gil Juliana (G)

Rapid Response Team, Chan Zuckerberg Biohub, San Francisco, USA.

Madhup Surendra Kumar (M)

Department of Microbiology, Kathmandu University School of Medical Sciences, Dhulikhel, Nepal.

Gupta Binod (G)

Emergency Preparedness and Operation, WHE Program, World Health Organization, Kathmandu, Nepal.

Jha Runa (J)

National Public Health Laboratory, Kathmandu, Nepal.

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