A review on Japanese Encephalitis virus emergence, pathogenesis and detection: From conventional diagnostics to emerging rapid detection techniques.


Journal

International journal of biological macromolecules
ISSN: 1879-0003
Titre abrégé: Int J Biol Macromol
Pays: Netherlands
ID NLM: 7909578

Informations de publication

Date de publication:
30 Sep 2022
Historique:
received: 02 11 2021
revised: 29 12 2021
accepted: 04 07 2022
pubmed: 12 7 2022
medline: 2 9 2022
entrez: 11 7 2022
Statut: ppublish

Résumé

The virus known as Japanese Encephalitis (JEV) is among the common viral persisting Encephalitis caused by Flavivirus around the Globe, especially in Southeast Asian nations. JEV may be a leading reason for neurological illness in humans, with an estimated 70,000 human cases and 10,000 fatalities per annum. The conventional methods like PRNT (Plaque Reduction Neutralization Test), ELISA (Enzyme-linked immunosorbent assay) RT-PCR (reverse transcription-polymerase chain reaction), and virus isolation are few commercial tests being availed these days, but they have a variety of drawbacks, including being extremely expensive, time-consuming, and requiring expertise. Therefore, researches are being made in the development of improved inexpensive, shorter, sensitive, and time-saving strategies to diagnose the Japanese Encephalitis Virus. A number of these researches encompass the employment of immunosensors, electrochemical sensors and along with the applications of nanotechnology to create highly sensitive detecting device. This review article is based on contemporary breakthroughs in diagnosing Japanese Encephalitis Virus, which are crucial in severing the connection between the propagation of zoonotic disease into the current race, where humans function as dead-end hosts.

Identifiants

pubmed: 35817236
pii: S0141-8130(22)01450-7
doi: 10.1016/j.ijbiomac.2022.07.027
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

435-448

Informations de copyright

Copyright © 2022. Published by Elsevier B.V.

Auteurs

Fatima Mohsin (F)

Department of Biotechnology, School of Chemical and Life Science, Jamia Hamdard, New Delhi 110062, India.

Shariq Suleman (S)

Department of Biotechnology, School of Chemical and Life Science, Jamia Hamdard, New Delhi 110062, India.

Nigar Anzar (N)

Department of Biotechnology, School of Chemical and Life Science, Jamia Hamdard, New Delhi 110062, India.

Jagriti Narang (J)

Department of Biotechnology, School of Chemical and Life Science, Jamia Hamdard, New Delhi 110062, India. Electronic address: jags_biotech@yahoo.co.in.

Shikha Wadhwa (S)

Department of Chemistry, School of Applied Sciences, University of Petroleum & Energy Studies, Bidholi Campus, Dehradun 248007, India.

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Classifications MeSH