ArticleActa neuropathologica2024
Inter-alpha-trypsin inhibitor heavy chain H3 is a potential biomarker for disease activity in myasthenia gravis.
Article in Acta neuropathologica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Proteomic and machine learning analysis predicts treatment response signatures in Myasthenia Gravis.Journal of translational medicine · 2026Trial
- Exploring differences in protein cargo of extracellular vesicles from ME/CFS patient plasma compared to healthy controls.Biochemistry and biophysics reports · 2026Article
- Lipidomic Profiling Reveals Distinct Molecular Signatures Across Clinical Subtypes of Myasthenia Gravis.Metabolites · 2026Article
- A plasma proteomic signature of cancer-related sarcopenia implicates the IGFBP axis in muscle dysfunction.Molecular cancer · 2026Article
- Multicentric prognostic observational study on biomarker profile in immunotherapy-naïve patients with highly active generalized myasthenia gravis (PROGNO-MG): a study protocol.Neurological research and practice · 2026Article
- On the road to blood biomarkers in myasthenia gravis (MG): Beyond clinical scales.Journal of neuromuscular diseases · 2026Review
- [Serum inter-alpha-trypsin inhibitor heavy chain H3 is identified as a potential biomarker for myopenia in patients with rheumatoid arthritis using proteomic profiling].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2025Article
- Proteomic and Machine Learning Analysis Predicts Treatment Response Signatures in Myasthenia Gravis.Research square · 2025Article
- AXIN1, STAMBP, ST1A1, CDCP1, and SIRT2 Validated as Myasthenia Gravis Biomarkers: A Comparative Proteomic Study With MS, CIDP, and Controls.European journal of neurology · 2025Article
- Proteomic Profiling Towards a Better Understanding of Genetic Based Muscular Diseases: The Current Picture and a Look to the Future.Biomolecules · 2025Review
- Multi-omics-driven biomarker discovery in autoimmune diseases: a comprehensive review.Frontiers in immunology · 2025Review
- Serum cystatin C as a potential biomarker for generalized acetylcholine receptor antibody-positive myasthenia gravis.Frontiers in immunology · 2025Article
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Authors and funding
26 authors.
Funding
Abstract
Myasthenia gravis is a chronic antibody-mediated autoimmune disease disrupting neuromuscular synaptic transmission. Informative biomarkers remain an unmet need to stratify patients with active disease requiring intensified monitoring and therapy; their identification is the primary objective of this study. We applied mass spectrometry-based proteomic serum profiling for biomarker discovery. We studied an exploration and a prospective validation cohort consisting of 114 and 140 anti-acetylcholine receptor antibody (AChR-Ab)-positive myasthenia gravis patients, respectively. For downstream analysis, we applied a machine learning approach. Protein expression levels were confirmed by ELISA and compared to other myasthenic cohorts, in addition to myositis and neuropathy patients. Anti-AChR-Ab levels were determined by a radio receptor assay. Immunohistochemistry and immunofluorescence of intercostal muscle biopsies were employed for validation in addition to interactome studies of inter-alpha-trypsin inhibitor heavy chain H3 (ITIH3). Machine learning identified ITIH3 as potential serum biomarker reflective of disease activity. Serum levels correlated with disease activity scores in the exploration and validation cohort and were confirmed by ELISA. Lack of correlation between anti-AChR-Ab levels and clinical scores underlined the need for biomarkers. In a subgroup analysis, ITIH3 was indicative of treatment responses. Immunostaining of muscle specimens from these patients demonstrated ITIH3 localization at the neuromuscular endplates in myasthenia gravis but not in controls, thus providing a structural equivalent for our serological findings. Immunoprecipitation of ITIH3 and subsequent proteomics lead to identification of its interaction partners playing crucial roles in neuromuscular transmission. This study provides data on ITIH3 as a potential pathophysiological-relevant biomarker of disease activity in myasthenia gravis. Future studies are required to facilitate translation into clinical practice.
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