ArticleAnalytical science advances2021
NMR-based serum and muscle metabolomics for diagnosis and activity assessment in idiopathic inflammatory myopathies.
Article in Analytical science advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Metabolomics and cardiovascular risk factors in autoimmune-mediated connective tissue diseases - an exploratory, hypothesis-generating study.BMC rheumatology · 2026Article
- Energy metabolism dysregulation in idiopathic inflammatory myopathies: mechanisms and therapeutic implications.Frontiers in immunology · 2026Review
- The value of myositis-specific autoantibodies in the diagnosis of idiopathic inflammatory myopathy and tumor risk prediction.The Journal of international medical research · 2025Article
- Article
- Identification of Metabolic Signature Associated with Idiopathic Inflammatory Myopathy Reveals Polyamine Pathway Alteration in Muscle Tissue.Metabolites · 2022Article
- Integrated analysis of plasma and urine reveals unique metabolomic profiles in idiopathic inflammatory myopathies subtypes.Journal of cachexia, sarcopenia and muscle · 2022Article
- Editorial for special issue: Metabolomics in India.Analytical science advances · 2021Article
- NMR-based serum and muscle metabolomics for diagnosis and activity assessment in idiopathic inflammatory myopathies.Analytical science advances · 2021Article
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Authors and funding
10 authors.
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Abstract
Objectives: Differentiating smoldering disease activity from weakness due to fatty replacement of atrophied muscle can often be a challenge in the idiopathic inflammatory myositis (IIM). We aimed to identify the metabolic disturbances associated with IIM and if these changes can aid in the assessment of disease activity. Methods: Metabolic profiles of sera (N = 99) and muscle (N = 21) from patients with IIM (ACR-EULAR criteria) were compared with healthy control (HC) samples (N = 75 for serum and N = 12 for muscle tissues) employing 800 MHz NMR (Nuclear Magnetic Resonance) spectroscopy. Metabolic disparity between IIM and HC was established based on Partial Least Squares Discriminant Analysis (PLS-DA) and the discriminatory metabolites were identified based on variable importance in projection (VIP) statistics ( Results: Serum metabolomics profiles were distinctive in IIM as compared to HC, with a visible shift to anaerobic metabolism (increased lactate, low glucose), oxidative defect (high Phenylalanine/tyrosine), decreased muscle mass (low serum creatinine), increased muscle catabolism (increased branched-chain amino acids), and dyslipidemia (higher lipids, higher very low-density lipoprotein [VLDL]/low-density lipoprotein [LDL] ratio, lower polyunsaturated fatty acid [PUFA]). The sera of active IIM patients were characterized by anaerobic metabolism (low glucose), loss of muscle mass (low creatinine, amino acids), and oxidative defect (high Phenylalanine/tyrosine). Three metabolites (isopropanol, succinate, and glycine) were distinctive in muscle tissue metabolomics. NMR-based serum metabolic disparity was lacking between different clinical subsets of IIM. Conclusion: Serum and muscle tissue metabolomics have the potential to distinguish (a) IIM from HC and (b) active IIM from inactive IIM irrespective of disease subtype.
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