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Abstract Number: 2081

Proteomic Profiling of Urine Reveals Biomarker Candidates for Idiopathic Inflammatory Myopathies

Xueting Yuan1, Zhengguang Guo2, Jia Shi1, Shuang Zhou3, Chanyuan Wu4, Jiuliang Zhao3, Dong Xu5, Mengtao Li6, Wei Sun2, qian wang6 and Xiaofeng Zeng7, 1Peking Union Medical College, Beijing, China, 2Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing, China, 3Peking union medical college hospital, Beijing, China, 4Peking Union Medical College Hospital, Chinese Academy of Medical Sciences& Peking Union Medical College, Beijing, China, 5Peking Union Medical College Hospital, Dong Cheng District, Beijing, China, 6Department of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China 2National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Ministry of Science & Technology, Beijing, China, 7Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China

Meeting: ACR Convergence 2024

Keywords: Biomarkers, dermatomyositis, proteomics

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Session Information

Date: Monday, November 18, 2024

Title: Muscle Biology, Myositis & Myopathies – Basic & Clinical Science Poster III

Session Type: Poster Session C

Session Time: 10:30AM-12:30PM

Background/Purpose: Idiopathic inflammatory myopathies (IIM) are a rare heterogeneous group of autoimmune diseases characterized by immune-mediated muscle injury. We aimed to examine urine proteomic signatures and identify protein biomarkers for early diagnosis of IIM.

Methods: We analyzed the proteome of urine samples using a data-independent acquisition (DIA)-combined with liquid chromatography-tandem mass spectrometry (LC-MS) strategy from 132 patients with IIM and 97 healthy controls. All of the subjects were randomly distributed into training and validation data sets at a ratio of 2:1 to evaluate diagnostic performance.

Results: Our data showed that 434 proteins were differentially expressed in the IIM group compared to the control, including 250 up-regulated and 184 down-regulated proteins (Figure 1). GO and KEGG pathway enrichment analysis indicated that differential urinary proteins are primally involved in cell adhesion molecules, oxidative phosphorylation, and complement and coagulation cascades. Ribosomal protein S13(RPS13), syndecan 2(SDC2), keratin 31(KRT31), and mannose receptor C-type 1(MRC1) were further identified as candidate biomarkers which could effectively distinguish IIM from control. The combined diagnostic efficiency of four indexes had satisfied discrimination in both the training (AUC=0.894) and validation sets (AUC=0.827) (Figure 2).

Conclusion: This study revealed distinct urine proteomic profiles and a panel of proteins as novel urinary markers for non-invasive and simple screening of IIM, which may have translational significance and provide unique insights into the disease pathogenesis.

Supporting image 1

Differentially expressed proteins between IIM and the control group are shown in a volcano plot.

Supporting image 2

ROC curves of each and combined biomarker candidates in the training and validation data set.


Disclosures: X. Yuan: None; Z. Guo: None; J. Shi: None; S. Zhou: None; C. Wu: None; J. Zhao: None; D. Xu: None; M. Li: None; W. Sun: None; q. wang: None; X. Zeng: None.

To cite this abstract in AMA style:

Yuan X, Guo Z, Shi J, Zhou S, Wu C, Zhao J, Xu D, Li M, Sun W, wang q, Zeng X. Proteomic Profiling of Urine Reveals Biomarker Candidates for Idiopathic Inflammatory Myopathies [abstract]. Arthritis Rheumatol. 2024; 76 (suppl 9). https://acrabstracts.org/abstract/proteomic-profiling-of-urine-reveals-biomarker-candidates-for-idiopathic-inflammatory-myopathies/. Accessed .
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