Evidence map›Paper›PMID 40436903›Full record

ArticleScientific reports2025

Clinico-genomic study reveals association of dengue virus genome high frequency mutations with dengue disease severity.

Varsha Ravi, Md Imran, Kriti Khare, Pallavi Mishra, Ramakant Mohite, Kanika, Md Abuzar Khan, Aparna Swaminathan, Aanchal Yadav, Sristi Sinha and 8 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

Varsha Ravi *INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, Division of Immunology and Infectious Disease Biology, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), North Campus, Near Jubilee Hall, Mall Road, New Delhi, Delhi, 110017, India.
Md Imran *INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, Division of Immunology and Infectious Disease Biology, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), North Campus, Near Jubilee Hall, Mall Road, New Delhi, Delhi, 110017, India.
Kriti KhareINtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, Division of Immunology and Infectious Disease Biology, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), North Campus, Near Jubilee Hall, Mall Road, New Delhi, Delhi, 110017, India.
Pallavi MishraINtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, Division of Immunology and Infectious Disease Biology, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), North Campus, Near Jubilee Hall, Mall Road, New Delhi, Delhi, 110017, India.
Ramakant MohiteINtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, Division of Immunology and Infectious Disease Biology, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), North Campus, Near Jubilee Hall, Mall Road, New Delhi, Delhi, 110017, India.
KanikaINtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, Division of Immunology and Infectious Disease Biology, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), North Campus, Near Jubilee Hall, Mall Road, New Delhi, Delhi, 110017, India.
Md Abuzar KhanINtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, Division of Immunology and Infectious Disease Biology, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), North Campus, Near Jubilee Hall, Mall Road, New Delhi, Delhi, 110017, India.
Aparna SwaminathanINtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, Division of Immunology and Infectious Disease Biology, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), North Campus, Near Jubilee Hall, Mall Road, New Delhi, Delhi, 110017, India.
Aanchal YadavINtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, Division of Immunology and Infectious Disease Biology, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), North Campus, Near Jubilee Hall, Mall Road, New Delhi, Delhi, 110017, India.
Sristi SinhaINtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, Division of Immunology and Infectious Disease Biology, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), North Campus, Near Jubilee Hall, Mall Road, New Delhi, Delhi, 110017, India.
Richa ShuklaINtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, Division of Immunology and Infectious Disease Biology, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), North Campus, Near Jubilee Hall, Mall Road, New Delhi, Delhi, 110017, India.
Partha ChattopadhyayINtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, Division of Immunology and Infectious Disease Biology, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), North Campus, Near Jubilee Hall, Mall Road, New Delhi, Delhi, 110017, India.
Jyoti SoniINtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, Division of Immunology and Infectious Disease Biology, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), North Campus, Near Jubilee Hall, Mall Road, New Delhi, Delhi, 110017, India.
Ranjeet MauryaINtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, Division of Immunology and Infectious Disease Biology, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), North Campus, Near Jubilee Hall, Mall Road, New Delhi, Delhi, 110017, India.
Tavpritesh SethiIndraprastha Institute of Information Technology, New Delhi, Delhi, 110020, India.
Bansidhar TaraiMax Super Speciality Hospital (A Unit of Devki Devi Foundation), Max Healthcare, New Delhi, Delhi, 110017, India.
Sandeep BudhirajaMax Super Speciality Hospital (A Unit of Devki Devi Foundation), Max Healthcare, New Delhi, Delhi, 110017, India.
Rajesh PandeyINtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, Division of Immunology and Infectious Disease Biology, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), North Campus, Near Jubilee Hall, Mall Road, New Delhi, Delhi, 110017, India. rajesh.p@igib.res.in.

Funding

Gates Foundation INV-033578Rockefeller Foundation 2021 HTH 018
6 · The paper itself

Abstract

Transmission of the dengue virus (DENV) places a huge burden on public health in several endemic regions. Like other RNA viruses, mutations in the DENV genome greatly governs its virulence, transmissibility, and interaction with the host immune system. Present study focuses on integrated analysis of mutation and clinical data accompanied at the onset of dengue fever. The findings from the associated clinical data with the variants of the DENV are critical for early detection of the disease and understanding the disease progression. RNA was isolated from the 1310 serum samples collected from the NS1-antigen positive dengue patients. Serotyping reveals that DENV-2 was predominant in circulation. The genome of 1305 DENV-2 was sequenced using Oxford Nanopore Technology and Illumina platforms. A total of 1023 DENV-2 demonstrated > 50% genome coverage. Mutation analysis across the 1023 DENV-2 genomes yielded a total of 2667 mutations including 627 non-synonymous and 2040 synonymous mutations. We observed a notable over-representation of synonymous mutations in prM and ancC genes while a higher occurrence of non-synonymous mutations was found in ancC, prM, and M proteins. Comparison of mutation frequency between mild and severe demonstrates higher mutation frequency in severe phenotype. Moreover, we observed a total of 56 significant mutations including 23 in severe, 17 in moderate and 16 in mild. The E-protein having non-synonymous mutations were docked with DC-SIGN with lower binding energy (ΔG = - 11.9 kcal/mol) for severe as compared to mild (ΔG = - 13.5 kcal/mol), suggesting lesser affinity of E-protein and DC-SIGN in case of severe as compared to the mild. We have identified the core set of high frequency mutations significantly associated with distinct dengue disease severity viz., mild, moderate and severe. Furthermore, in-silico protein modelling and docking studies demonstrate the potential functional role of the non-synonymous mutations identified across E-protein in severe dengue.

Indexed as

DengueDengue VirusGenome, ViralAdolescentAdultAgedAged, 80 and overChildChild, PreschoolFemaleHumansInfantLeukopeniaMaleMiddle AgedMolecular Docking SimulationDengueDisease severityLeukopeniaMutation analysisThrombocytopenia

Identifiers

PMID40436903
PMCPMC12120001

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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 Socratic graph.