Evidence map›Paper›PMID 39736759›Full record

ArticlePediatric rheumatology online journal2024

The plasma metabolome of juvenile idiopathic arthritis varies according to subtype and underlying inflammatory status.

Jooa Kwon, Melanie R Neeland, Justine A Ellis, Jane Munro, Richard Saffery, Boris Novakovic, Toby Mansell

Abstract read
In one paragraph

Article in Pediatric rheumatology online journal, 2024. 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

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

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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

7 authors.

Jooa KwonInfection, Immunity and Global Health Theme, Murdoch Children's Research Institute, Parkville, VIC, 3052, Australia.ORCID http://orcid.org/0009-0001-9108-1496
Melanie R NeelandInfection, Immunity and Global Health Theme, Murdoch Children's Research Institute, Parkville, VIC, 3052, Australia.ORCID http://orcid.org/0000-0001-7301-9982
Justine A EllisNorthern Health Research Development and Governance Unit, Epping, VIC, 3076, Australia.ORCID http://orcid.org/0000-0003-4103-4445
Jane MunroInfection, Immunity and Global Health Theme, Murdoch Children's Research Institute, Parkville, VIC, 3052, Australia.ORCID http://orcid.org/0000-0003-4845-9059
Richard SafferyInfection, Immunity and Global Health Theme, Murdoch Children's Research Institute, Parkville, VIC, 3052, Australia.ORCID http://orcid.org/0000-0002-9510-4181
Boris Novakovic *Infection, Immunity and Global Health Theme, Murdoch Children's Research Institute, Parkville, VIC, 3052, Australia.ORCID http://orcid.org/0000-0002-5623-9008
Toby Mansell *Infection, Immunity and Global Health Theme, Murdoch Children's Research Institute, Parkville, VIC, 3052, Australia. toby.mansell@mcri.edu.au.ORCID http://orcid.org/0000-0002-1282-6331

Funding

National Health and Medical Research Council APP1173314
6 · The paper itself

Abstract

backgroundJuvenile idiopathic arthritis (JIA) is challenging to classify and effectively monitor due to the lack of disease- and subtype-specific biomarkers. A robust molecular signature that tracks with specific JIA features over time is urgently required, and targeted plasma metabolomics may reveal such a signature. The primary aim of this study was to characterise the differences in the plasma metabolome between JIA patients and non-JIA controls and identify specific markers of JIA subtype. We also assessed the extent to which these signatures are due to underlying inflammation as assessed by glycoprotein acetyls (GlycA) and high-sensitivity C-Reactive Protein (hsCRP) levels.

methodsTargeted nuclear magnetic resonance (NMR) metabolomic profiles of plasma of 72 children with JIA and 18 controls were assessed cross-sectionally. Associations between 71 metabolomic biomarkers and JIA, JIA subtype, disease activity status, and inflammation markers (GlycA and hsCRP) were assessed using multivariable linear regression models.

resultsJIA was associated with higher GlycA (mean difference = 0.93 standard deviations, 95% confidence interval = [0.370, 1.494], P

conclusionDifferences in the plasma NMR metabolomic profiles are apparent in children with sJIA, but not other JIA subtypes, relative to non-JIA controls. These findings suggest a potential utility for classifying and monitoring JIA through metabolomic profiling, with chronic inflammation, measured by GlycA, potentially playing a role in at least some of these metabolomic differences.

Indexed as

Arthritis, JuvenileBiomarkersC-Reactive ProteinMetabolomeAdolescentCase-Control StudiesChildChild, PreschoolCross-Sectional StudiesFemaleHumansInflammationMagnetic Resonance SpectroscopyMaleBiomarkersC-Reactive ProteinGlycAGlycoprotein acetylsHigh-sensitivity C-Reactive proteinInflammationJIAJuvenile idiopathic arthritisMetabolomeNMR metabolomicsPolyarticularRheumatoid factorSystemic JIA

Identifiers

PMID39736759
PMCPMC11686955

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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 Socratic graph.