Evidence map›Paper›PMID 39311214›Full record

ArticleInfectious disease reports2024

Chikungunya-Driven Gene Expression Linked to Osteoclast Survival and Chronic Arthralgia.

Alysson Henrique Urbanski, Vanessa E Maso, Felipe M Martins, André Guilherme da Costa-Martins, Ana Paula B do Nascimento Oliveira, Helder I Nakaya

Abstract read
In one paragraph

Article in Infectious disease reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

6 authors.

Alysson Henrique UrbanskiSchool of Pharmaceutical Sciences, University of São Paulo, São Paulo 05508-020, Brazil.
Vanessa E MasoSchool of Pharmaceutical Sciences, University of São Paulo, São Paulo 05508-020, Brazil.ORCID 0000-0003-4108-0206
Felipe M MartinsSchool of Pharmaceutical Sciences, University of São Paulo, São Paulo 05508-020, Brazil.
André Guilherme da Costa-MartinsSchool of Pharmaceutical Sciences, University of São Paulo, São Paulo 05508-020, Brazil.ORCID 0000-0003-2719-8224
Ana Paula B do Nascimento OliveiraSchool of Pharmaceutical Sciences, University of São Paulo, São Paulo 05508-020, Brazil.ORCID 0000-0002-4700-1671
Helder I NakayaSchool of Pharmaceutical Sciences, University of São Paulo, São Paulo 05508-020, Brazil.

Funding

Coordenação de Aperfeicoamento de Pessoal de Nível Superior 001
6 · The paper itself

Abstract

Chikungunya fever (CHIKF), caused by the Chikungunya virus (CHIKV), manifests as acute febrile illness often associated with polyarthritis and polyarthralgia. Although the acute symptoms resolve within two weeks, many patients experience prolonged joint pain and inflammation, resembling rheumatoid arthritis (RA). This study aimed to identify molecular markers related to joint pain and chronicity in CHIKV-infected individuals by analyzing blood transcriptomes using bulk RNA sequencing. B- and T-cell receptor (BCR and TCR) diversity was assessed through computational analysis of RNA-seq data, revealing a significant reduction in CDR3 diversity in CHIKV-infected individuals compared to healthy controls. This reduced diversity was associated with the upregulation of genes involved in osteoclast differentiation and activation, particularly through the RANK/RANKL signaling pathway. These findings suggest a potential link between immune dysregulation and enhanced osteoclast activity, which may contribute to the persistence of joint pain in chronic CHIKF. Targeting osteoclast-related pathways could offer therapeutic strategies for managing chronic symptoms in CHIKF patients.

Indexed as

B cellsCDR3chikungunya feverRANK signalingrheumatoid arthritisT cells

Identifiers

PMID39311214
PMCPMC11417755

What OpenQuestion holds

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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.