Evidence map›Paper›PMID 39654882›Full record

ArticleFrontiers in immunology2024

Altered metabolic profiles of dermatomyositis with different myositis-specific autoantibodies associated with clinical phenotype.

Nan Wang, Lili Shang, Zhaojun Liang, Min Feng, Yanlin Wang, Chong Gao, Jing Luo

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Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Nan WangDepartment of Rheumatology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Lili ShangShanxi Key Laboratory of Rheumatism Immune Microecology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Zhaojun LiangDepartment of Rheumatology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Min FengDepartment of Rheumatology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Yanlin WangDepartment of Rheumatology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Chong GaoDepartment of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Jing LuoDepartment of Rheumatology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Dermatomyositis (DM) is an idiopathic inflammatory myopathy. Because of clinical heterogeneity, the metabolite profile of DM patients with different myositis-specific autoantibodies (MSAs) remains elusive. This study aimed to explore the metabolomics characteristics of the serum in DM with different MSAs, low or high disease activity, and interstitial lung disease. Methods: Untargeted metabolomics profiling was performed in the serum of a discovery cohort (n=96) and a validation cohort (n=40), consisting of DM patients with MSAs, low or high disease activity, and/or interstitial lung disease (DM-ILD) compared to age- and gender-matched healthy controls (HCs). Results: The lipid profile in DM was found to be abnormal, especially dysregulated glycerophospholipid metabolism and fatty acid oxidation, which might affect the pathogenesis of DM by disrupting the balance of Th17 and Treg. We identified potential biomarkers of DM that can distinguish between low or high disease activity and reflect lung involvement. Two metabolite combinations including pro-leu, FA 14:0;O can distinguish high disease activity DM from low disease activity DM and HCs, and five including indole-3-lactic acid, dihydrosphingosine, SM 32:1;O2, NAE 17:1, and cholic acid can distinguish DM-ILD from DM without ILD (DM-nonILD). DM with different MSAs had unique metabolic characteristics, which can distinguish between MDA5+DM, Jo-1+DM, and TIF1-γ+DM, and from the antibody-negative groups. The sphingosine metabolism has been found to play an important role in MDA5+DM, which was associated with the occurrence of ILD. Discussion: Altered metabolic profiles of dermatomyositis were associated with different myositisspecific autoantibodies, disease activity, and interstitial lung disease, which can help in the early diagnosis, prognosis, or selection of new therapeutic targets for DM.

Indexed as

AutoantibodiesBiomarkersDermatomyositisMetabolomicsAdultAgedFemaleHumansLung Diseases, InterstitialMaleMetabolomeMiddle AgedMyositisPhenotypeAutoantibodiesBiomarkersanti-Jo-1anti-MDA5anti-TIF1-γbiomarkersdermatomyositisinterstitial lung diseasemetabolomics

Identifiers

PMID39654882
PMCPMC11625817

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