Evidence map›Paper›PMID 42806010›Full record

ReviewCommunications biology2026

Arthritis models for studying chikungunya virus joint inflammation.

Ivan J H Sam, Laurent Rénia, Louisa L Y Chan, Lisa F P Ng

Abstract readReview
In one paragraph

Review in Communications biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

4 authors.

Ivan J H SamA*STAR Infectious Diseases Labs, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
Laurent RéniaA*STAR Infectious Diseases Labs, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
Louisa L Y ChanLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Lisa F P NgA*STAR Infectious Diseases Labs, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore. lisa_ng@a-star.edu.sg.ORCID 0000-0003-4071-5222

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chikungunya virus (CHIKV) joint inflammation remains poorly understood, despite its clinical burden. This review surveys in vitro joint models which were originally developed for arthritis research and examine how they can be repurposed to study CHIKV joint pathology. We outline key considerations, limitations, and recommendations for adapting these models for infection studies, including facilitating infection susceptibility across joint models, tuning matrix composition, addressing cellular incompleteness through modeling relevant immune cells, improving culture longevity and reproducibility. Together, these models offer versatile and human-relevant approaches to replicate key features of joint inflammation in advancing the understanding of CHIKV-induced joint pathology.

Indexed as

ArthritisChikungunya FeverChikungunya virusAnimalsHumansInflammation

Identifiers

PMID42806010
PMCPMC13620130

What Socratic holds

Textmetadata
Read underepoch 390

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.