1. Identification of disease phenotypes in acetylcholine receptor-antibody myasthenia gravis using proteomics-based consensus clustering.
- Author
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Nelke C, Schroeter CB, Barman S, Stascheit F, Masanneck L, Theissen L, Huntemann N, Walli S, Cengiz D, Dobelmann V, Vogelsang A, Pawlitzki M, Räuber S, Konen FF, Skripuletz T, Hartung HP, König S, Roos A, Meisel A, Meuth SG, and Ruck T
- Subjects
- Humans, Female, Male, Middle Aged, Adult, Cluster Analysis, Proteome, Aged, B-Lymphocytes metabolism, B-Lymphocytes immunology, Complement Activation, Myasthenia Gravis blood, Myasthenia Gravis diagnosis, Myasthenia Gravis immunology, Myasthenia Gravis metabolism, Receptors, Cholinergic immunology, Receptors, Cholinergic metabolism, Autoantibodies blood, Autoantibodies immunology, Proteomics methods, Phenotype
- Abstract
Background: The clinical heterogeneity of myasthenia gravis (MG), an autoimmune disease defined by antibodies (Ab) directed against the postsynaptic membrane, constitutes a challenge for patient stratification and treatment decision making. Novel strategies are needed to classify patients based on their biological phenotypes aiming to improve patient selection and treatment outcomes., Methods: For this purpose, we assessed the serum proteome of a cohort of 140 patients with anti-acetylcholine receptor-Ab-positive MG and utilised consensus clustering as an unsupervised tool to assign patients to biological profiles. For in-depth analysis, we used immunogenomic sequencing to study the B cell repertoire of a subgroup of patients and an in vitro assay using primary human muscle cells to interrogate serum-induced complement formation., Findings: This strategy identified four distinct patient phenotypes based on their proteomic patterns in their serum. Notably, one patient phenotype, here named PS3, was characterised by high disease severity and complement activation as defining features. Assessing a subgroup of patients, hyperexpanded antibody clones were present in the B cell repertoire of the PS3 group and effectively activated complement as compared to other patients. In line with their disease phenotype, PS3 patients were more likely to benefit from complement-inhibiting therapies. These findings were validated in a prospective cohort of 18 patients using a cell-based assay., Interpretation: Collectively, this study suggests proteomics-based clustering as a gateway to assign patients to a biological signature likely to benefit from complement inhibition and provides a stratification strategy for clinical practice., Funding: CN and CBS were supported by the Forschungskommission of the Medical Faculty of the Heinrich Heine University Düsseldorf. CN was supported by the Else Kröner-Fresenius-Stiftung (EKEA.38). CBS was supported by the Deutsche Forschungsgemeinschaft (DFG-German Research Foundation) with a Walter Benjamin fellowship (project 539363086). The project was supported by the Ministry of Culture and Science of North Rhine-Westphalia (MODS, "Profilbildung 2020" [grant no. PROFILNRW-2020-107-A])., Competing Interests: Declaration of interests CN, CBS, SGM and TR have been granted a patent by the European Patent Office (EPO) relating to the use of ITIH3 as a biomarker for (assessing) disease activity in myasthenia gravis patients (EP22195296.3). CN received honoraria for lectures from Alexion, ArgenX and UCB Pharma. CBS received honoraria for lectures from Merc and travel expenses from Alexion. FS received travel support, honoraria for lectures and adboards from Alexion, ArgenX and UCB Pharma. LM received honoraria for lectures from ArgenX and travel support from Alexion. NH received honoraria for lectures and travel support from Alexion, ArgenX and Merck. MP received consulting fees, honoraria for lectures and adboards from Alexion and ArgenX. SR received honoraria for adboards and travel support from Alexion, Bristol Myers Squibb and Merck. FK received travel support from Alexion, Merck and Novartis. TS received grants from Alnylam Pharmaceuticals, CSL Behring, Novartis, Siemens; TS received consulting fees, honoraria for lectures and adboards from Alexion, Alnylam Pharmaceuticals, argenx, Bayer Vital, Biogen, Bristol Myers Squibb, Celgene, Centogene, CSL Behring, Euroimmun, Grifols, Hexal AG, Horizon, Janssen-Cilag, Merck Serono, Novartis, Pfizer, Roche, Sanofi, Siemens, Swedish Orphan Biovitrum, Teva, Viatris. AM received consulting fees from Alexion (AstraZeneca Rare Disease), Argenx, Janssen Pharmaceuticals, Merck, Octapharma, Union Chimique Belge (UCB), Xcenda; AM received honoraria for lectures and adboards from Alexion, Argenx, Desitin, Dierks, Grifols, Hormosan, Novartis, Sanofi. SGM received honoraria for lectures and travel support from Academy 2, Argenx, Alexion, Almirall, Amicus Therapeutics Germany, Bayer Health Care, Biogen, BioNtech, BMS, Celgene, Datamed, Demecan, Desitin, Diamed, Diaplan, DIU Dresden, DPmed, Gen Medicine and Healthcare products, Genzyme, Hexal AG, IGES, Impulze GmbH, Janssen Cilag, KW Medipoint, MedDay Pharmaceuticals, Merck Serono, MICE, Mylan, Neuraxpharm, Neuropoint, Novartis, Novo Nordisk, ONO Pharma, Oxford PharmaGenesis, QuintilesIMS, Roche, Sanofi-Aventis, Springer Medizin Verlag, STADA, Chugai Pharma, Teva, UCB, Viatris, Wings for Life international and Xcenda. TR received honoraria for lectures, adboards and travel support from Alexion, Argenx, Biogen, Celgene, BMS, Genzyme, Merck Serono, Novartis, Novartis, Roche, Sanofi-Aventis and Teva. All other authors declare that they have no competing interests., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)
- Published
- 2024
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