Evidence map›Paper›PMID 39953947›Full record

ArticleJournal of medical virology2025

Microbiological Investigations for Chikungunya Virus in Children With Acute Encephalitis Syndrome in a Non-Outbreak Setting in Southern India.

Tina Damodar, Chitra Pattabiraman, Bhagteshwar Singh, Maria Jose, Namratha Prabhu, Akhila L, Pramada Prasad, Uddhava V Kinhal, A V Lalitha, Fulton Sebastian Dsouza and 8 more

Abstract read
In one paragraph

Article in Journal of medical virology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Tina DamodarDepartment of Neurovirology, National Institute of Mental Health & Neurosciences, Bangalore, India.ORCID 0000-0002-7658-3367
Chitra PattabiramanDepartment of Neurovirology, National Institute of Mental Health & Neurosciences, Bangalore, India.
Bhagteshwar SinghTropical & Infectious Diseases Unit, Royal Liverpool University Hospital, Liverpool, UK.
Maria JoseDepartment of Neurovirology, National Institute of Mental Health & Neurosciences, Bangalore, India.
Namratha PrabhuDepartment of Neurovirology, National Institute of Mental Health & Neurosciences, Bangalore, India.
Akhila LDepartment of Neurovirology, National Institute of Mental Health & Neurosciences, Bangalore, India.
Pramada PrasadDepartment of Neurovirology, National Institute of Mental Health & Neurosciences, Bangalore, India.
Uddhava V KinhalDepartment of Pediatric Neurology, Indira Gandhi Institute of Child Health, Bangalore, India.
A V LalithaDepartment of Pediatric Critical Care, St John's Medical College and Hospital, Bangalore, India.
Fulton Sebastian DsouzaDepartment of Pediatrics, St John's Medical College and Hospital, Bangalore, India.
Sushma Veeranna SajjanDepartment of Pediatrics, Bangalore Medical College and Research Institute, Bangalore, India.
Vykuntaraju K GowdaDepartment of Pediatric Neurology, Indira Gandhi Institute of Child Health, Bangalore, India.
Vasanthapuram RaviDepartment of Neurovirology, National Institute of Mental Health & Neurosciences, Bangalore, India.
Ruwanthi Kolamunnage-DonaDepartment of Health Data Science, Institute of Population Health, University of Liverpool, UK.
Benedict D MichaelDepartment of Clinical Infection Microbiology and Immunology, Institute of Infection, Veterinary, and Ecological Science, University of Liverpool, Liverpool, UK.
Tom SolomonNational Institute for Health and Care Research Health Protection Research Unit in Emerging and Zoonotic Infections, University of Liverpool, Liverpool, UK.
Ravi YadavDepartment of Neurology, National Institute of Mental Health & Neurosciences, Bangalore, India.
Lance TurtleNational Institute for Health and Care Research Health Protection Research Unit in Emerging and Zoonotic Infections, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool.ORCID 0000-0002-0778-1693

Funding

DBT-Wellcome Trust India Alliance IA/CPHE/18/1/503960This work was supported by DBT/Wellcome Trust India Alliance Fellowship IA/CPHE/18/1/503960 awarded to Tina Damodar.Wellcome Trust
6 · The paper itself

Abstract

Chikungunya virus (CHIKV) is an emerging cause of acute encephalitis syndrome (AES) in India, with limited data on its role in childhood AES in southern India. We systematically evaluated children with AES in southern India during a non-epidemic period for CHIKV. Serum and cerebrospinal fluid (CSF) samples were tested for CHIKV using IgM ELISA and real-time reverse transcriptase PCR. Amplicon sequencing was performed on PCR-positive samples. Clinical and laboratory features were compared between children with and without CSF CHIKV positivity (PCR/IgM antibodies). Of 376 children with AES, 20 (5.3%) had positive CHIKV tests. Co-infections were common, particularly with scrub typhus. Children presented with diverse symptoms affecting various organ systems. Neurological manifestations included meningism, seizures, cerebellar signs, behavioral abnormalities, cranial nerve involvement, involuntary movements, and hemiparesis/hemiplegia. Children with CSF CHIKV positivity showed more focal neurological deficits and transaminitis, and less musculoskeletal symptoms. Sequencing confirmation of CHIKV was made in all patients with positive CHIKV PCR, revealing a close relationship with 2016 Kenyan and Indian strains, albeit in a different clade within the East/Central/South African genotype. Along with important mutations known to impact CHIKV infectivity, four novel amino acid substitutions were detected in envelope protein coding regions. Our findings underscore the importance of routine and comprehensive CHIKV testing for children with AES, irrespective of season/outbreak. The high rate of co-infections warrants further research. Continued genomic surveillance is essential to monitor emerging mutations with epidemic potential, increased severity and the risk of neurological disease.

Indexed as

Acute Febrile EncephalopathyChikungunya FeverChikungunya virusAdolescentAntibodies, ViralChildChild, PreschoolCoinfectionEnzyme-Linked Immunosorbent AssayFemaleHumansImmunoglobulin MIndiaInfantMalePhylogenyAntibodies, ViralImmunoglobulin MRNA, Viral

Identifiers

PMID39953947
PMCPMC11829551

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.