Evidence map›Paper›PMID 39403197›Full record

ArticleiScience2024

TCR repertoire dynamics and their responses underscores dengue severity.

Kriti Khare, Sunita Yadav, Bansidhar Tarai, Sandeep Budhiraja, Rajesh Pandey

Abstract read
In one paragraph

Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

5 authors.

Kriti KhareDivision of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi 110007, India.
Sunita YadavDivision of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi 110007, India.
Bansidhar TaraiMax Super Speciality Hospital (A Unit of Devki Devi Foundation), Max Healthcare, Delhi 110017, India.
Sandeep BudhirajaMax Super Speciality Hospital (A Unit of Devki Devi Foundation), Max Healthcare, Delhi 110017, India.
Rajesh PandeyDivision of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi 110007, India.

Funding

Gates Foundation INV-033578
6 · The paper itself

Abstract

Despite recognizing the immune response's role in dengue progression, the intricate dynamics of T cell receptor (TCR) variations across DENV infection severities remain elusive. This study addresses this gap by analyzing in-house generated RNA-seq data from 112 dengue patients with varying disease severities. Our findings reveal that severe dengue patients exhibit pronounced clinical manifestations including leukopenia, thrombocytopenia, and elevated lymphocyte levels, Intriguingly, these patients also showed increased diversity in γ and δ TCR chains, unique TRGV and TRBV segment usage, and extended δ-CDR3 sequences, suggesting specialized inflammatory functions. Furthermore, mutations in the NS5 and 3'UTR regions of the dengue genome correlated with increased TRDV and TRGV chains, indicating a significant role for these mutations in the prevalence of specific TCR chains during severe infections. Overall, the study highlights the complex role of TCR repertoire in dengue pathogenesis, enhancing our understanding of TCR dynamics for future infectious diseases.

Indexed as

DiseaseGenomicsVirology

Identifiers

PMID39403197
PMCPMC11472631

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Registered trials

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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.