Evidence map›Paper›PMID 42049982›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2026

Untargeted metabolomics reveals serum metabolites related to energy metabolism and inflammation associated with juvenile dermatomyositis.

Kaylie I Kirkwood-Donelson, Dylan J Johnson, Payam Noroozi Farhadi, Kakali Sarkar, Adam I Schiffenbauer, Frederick W Miller, Gregory Kudzin, Erin S Baker, Jian-Liang Li, Lisa G Rider and 1 more

Abstract read
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In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Kaylie I Kirkwood-Donelson *Mass Spectrometry Research Center, Immunity, Inflammation and Disease Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC, USA.ORCID http://orcid.org/0000-0003-3248-820X
Dylan J Johnson *Integrative Bioinformatics Support Group, Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC, USA.ORCID http://orcid.org/0000-0003-0448-5183
Payam Noroozi FarhadiEnvironmental Autoimmunity Group, Clinical Research Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Bethesda, MD, USA.ORCID http://orcid.org/0000-0003-2419-050X
Kakali SarkarEnvironmental Autoimmunity Group, Clinical Research Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Bethesda, MD, USA.ORCID http://orcid.org/0000-0001-6391-5660
Adam I SchiffenbauerEnvironmental Autoimmunity Group, Clinical Research Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Bethesda, MD, USA.ORCID http://orcid.org/0000-0001-9964-9966
Frederick W MillerEnvironmental Autoimmunity Group, Clinical Research Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Bethesda, MD, USA.
Gregory KudzinDepartment of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Erin S BakerDepartment of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID http://orcid.org/0000-0001-5246-2213
Jian-Liang LiIntegrative Bioinformatics Support Group, Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC, USA.
Lisa G RiderEnvironmental Autoimmunity Group, Clinical Research Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Bethesda, MD, USA. lisa.rider@nih.gov.ORCID http://orcid.org/0000-0002-6912-2458
Alan K JarmuschMass Spectrometry Research Center, Immunity, Inflammation and Disease Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC, USA. alan.jarmusch@nih.gov.ORCID http://orcid.org/0000-0002-2228-6308

Funding

Assessment, Therapy and Prevention Of Autoimmune DiseaseZIAES101081 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI RIDER, LISA · 2009 to 2025
$17.6M
Integrative BioinformaticsZICES103371 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI LI, JIAN-LIANG · 2022 to 2025
$11.5M
Mass Spectrometry-based Untargeted MetabolomicsZICES103363 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI JARMUSCH, ALAN · 2021 to 2025
$6.5M
Intramural NIH HHS ZIA ES101081Intramural NIH HHS ZIC ES103363Intramural NIH HHS ZIC ES103371NIH HHS ZIA ES101081NIH HHS ZIC ES103363NIH HHS ZIC ES103371
6 · The paper itself

Abstract

introductionJuvenile dermatomyositis (JDM) is a rare autoimmune inflammatory myopathy characterized by muscle weakness and distinctive skin rashes. Despite advancements in the clinical understanding of JDM, metabolic disturbances underlying the disease remain poorly understood.

objectivesThis study aimed to investigate serum metabolite differences in JDM compared to age- and sex-matched unaffected siblings (US) and unrelated healthy controls (HC), and to identify metabolite abundance differences associated with disease severity.

methodsSerum samples from JDM (n = 16) and adult dermatomyositis (DM; n = 15) patients and corresponding US and HC underwent untargeted metabolomics profiling. Multivariate, univariate, and correlation analyses were employed to identify metabolites differentiating groups and correlating with Physician Global Damage (PGD) scores.

resultsJDM patients exhibited modest but discernible alterations in serum metabolites compared to controls, many of which also correlated with PGD. Several bioactive lipids and pyroglutamic acid were upregulated in JDM and positively correlated with PGD. Changes in xanthine, methionine and N-acetylneuraminic acid also indicated increased oxidative stress and inflammation. Markers of increased energy demand and muscle damage, including acylcarnitines, creatine, 4-guanidinobutyric acid, glutamine, and phenylacetylglutamine, were differential and correlated with PGD in some cases. A metabolite abundance gradient from JDM to US to HC groups suggests that siblings help account for genetic and environmental influences on the metabolome. DM patients did not show significant serum changes compared to US.

conclusionUntargeted metabolomics revealed distinct serum metabolite alterations in JDM, providing insights into disease-related metabolic perturbations. These findings enhance understanding of JDM pathophysiology and inform future large-scale, targeted studies.

Indexed as

DermatomyositisEnergy MetabolismInflammationMetabolomicsAdolescentBiomarkersChildFemaleHumansMaleMetabolomeOxidative StressBiomarkersEnergy metabolismInflammationJuvenile dermatomyositisSerum metabolomicsUntargeted metabolomics

Identifiers

PMID42049982
PMCPMC13124813

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.