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Mousavi A, Kumar P, Frykman H. The changing landscape of autoantibody testing in myasthenia gravis in the setting of novel drug treatments. Clin Biochem 2024:110826. [PMID: 39357636 DOI: 10.1016/j.clinbiochem.2024.110826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 09/16/2024] [Accepted: 09/17/2024] [Indexed: 10/04/2024]
Abstract
Acquired myasthenia gravis (MG) is an autoimmune disease targeting the specific proteins in the postsynaptic muscle membrane. 50% of ocular and 80% of generalized MG have acetylcholine receptor antibodies (AChR Abs). 1-10% of MG patients have antibodies against muscle-specific kinase (MuSK), and 2-50 % of seronegative MG cases have antibodies against lipoprotein-receptor-related protein4 antibodies (LRP4 Abs). Serological testing is crucial for diagnosing and determining the appropriate therapeutic approach for MG patients. The radioimmunoprecipitation assay (RIPA) method is a historical standard test for detecting the AChR Abs and MuSK Abs. While it has nearly 100% specificity in the AChR Abs detection, its sensitivity is between 50--92%. The sensitivity and specificity of RIPA for detecting MuSK Abs is much lower. The fixed and live Cell-Based assays (f-CBA and L- CBA) have higher sensitivity than RIPA. With advancements in the serological diagnosis and management of MG, we now recommend a complete reflex testing algorithm on the first pretreatment sample of a suspected MG patient, starting with the binding and blocking assays for AChR Abs by RIPA and/ or f-CBA. If AChR Ab is negative, then reflex to MuSK Abs by RIPA and/ or CBAs. If AChR and MuSK Abs are negative, then use clustered L-CBA by request.
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Affiliation(s)
- Ali Mousavi
- Division of Neurology, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada; BC Neuroimmunology Lab. Inc., Vancouver, British Columbia, Canada
| | - Pankaj Kumar
- Division of Neurology, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada; BC Neuroimmunology Lab. Inc., Vancouver, British Columbia, Canada
| | - Hans Frykman
- Division of Neurology, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada; BC Neuroimmunology Lab. Inc., Vancouver, British Columbia, Canada; Neurocode Lab. Inc. Bellingham, Washington, USA.
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2
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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, Ruck T. Identification of disease phenotypes in acetylcholine receptor-antibody myasthenia gravis using proteomics-based consensus clustering. EBioMedicine 2024; 105:105231. [PMID: 38959848 PMCID: PMC11269806 DOI: 10.1016/j.ebiom.2024.105231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 06/24/2024] [Accepted: 06/24/2024] [Indexed: 07/05/2024] Open
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]).
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Affiliation(s)
- Christopher Nelke
- Department of Neurology, Medical Faculty, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
| | - Christina B Schroeter
- Department of Neurology, Medical Faculty, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
| | - Sumanta Barman
- Department of Neurology, Medical Faculty, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
| | - Frauke Stascheit
- Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Lars Masanneck
- Department of Neurology, Medical Faculty, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
| | - Lukas Theissen
- Department of Neurology, Medical Faculty, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
| | - Niklas Huntemann
- Department of Neurology, Medical Faculty, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
| | - Sara Walli
- Department of Neurology, Medical Faculty, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
| | - Derya Cengiz
- Department of Neurology, Medical Faculty, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
| | - Vera Dobelmann
- Department of Neurology, Medical Faculty, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
| | - Anna Vogelsang
- Department of Neurology, Medical Faculty, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
| | - Marc Pawlitzki
- Department of Neurology, Medical Faculty, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
| | - Saskia Räuber
- Department of Neurology, Medical Faculty, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
| | - Felix F Konen
- Department of Neurology, Hannover Medical School, Hannover, Germany
| | | | - Hans-Peter Hartung
- Department of Neurology, Medical Faculty, Heinrich Heine University Duesseldorf, Duesseldorf, Germany; Brain and Mind Center, University of Sydney, Sydney NSW, Australia; Department of Neurology, Palacky University Olomouc, Olomouc, Czech Republic
| | - Simone König
- Core Unit Proteomics, Interdisciplinary Center for Clinical Research, Medical Faculty, University of Münster, Münster, Germany
| | - Andreas Roos
- Department of Neuropaediatrics, Neuromuscular Centre, Universitätsmedizin Essen, Essen, Germany
| | - Andreas Meisel
- Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Sven G Meuth
- Department of Neurology, Medical Faculty, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
| | - Tobias Ruck
- Department of Neurology, Medical Faculty, Heinrich Heine University Duesseldorf, Duesseldorf, Germany.
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3
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Nelke C, Schmid S, Kleefeld F, Schroeter CB, Goebel HH, Hoffmann S, Preuße C, Kölbel H, Meuth SG, Ruck T, Stenzel W. Complement and MHC patterns can provide the diagnostic framework for inflammatory neuromuscular diseases. Acta Neuropathol 2024; 147:15. [PMID: 38214778 PMCID: PMC10786976 DOI: 10.1007/s00401-023-02669-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 12/12/2023] [Accepted: 12/12/2023] [Indexed: 01/13/2024]
Abstract
Histopathological analysis stands as the gold standard for the identification and differentiation of inflammatory neuromuscular diseases. These disorders continue to constitute a diagnostic challenge due to their clinical heterogeneity, rarity and overlapping features. To establish standardized protocols for the diagnosis of inflammatory neuromuscular diseases, the development of cost-effective and widely applicable tools is crucial, especially in settings constrained by limited resources. The focus of this review is to emphasize the diagnostic value of major histocompatibility complex (MHC) and complement patterns in the immunohistochemical analysis of these diseases. We explore the immunological background of MHC and complement signatures that characterize inflammatory features, with a specific focus on idiopathic inflammatory myopathies. With this approach, we aim to provide a diagnostic algorithm that may improve and simplify the diagnostic workup based on a limited panel of stainings. Our approach acknowledges the current limitations in the field of inflammatory neuromuscular diseases, particularly the scarcity of large-scale, prospective studies that validate the diagnostic potential of these markers. Further efforts are needed to establish a consensus on the diagnostic protocol to effectively distinguish these diseases.
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Affiliation(s)
- Christopher Nelke
- Department of Neurology, Medical Faculty, Heinrich Heine University Duesseldorf, Moorenstr. 5, 40225, Duesseldorf, Germany
| | - Simone Schmid
- Department of Neuropathology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health (BIH), Charitéplatz 1, 10117, Berlin, Germany
| | - Felix Kleefeld
- Department of Neurology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health (BIH), Charitéplatz 1, 10117, Berlin, Germany
| | - Christina B Schroeter
- Department of Neurology, Medical Faculty, Heinrich Heine University Duesseldorf, Moorenstr. 5, 40225, Duesseldorf, Germany
| | - Hans-Hilmar Goebel
- Department of Neuropathology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health (BIH), Charitéplatz 1, 10117, Berlin, Germany
| | - Sarah Hoffmann
- Department of Neurology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health (BIH), Charitéplatz 1, 10117, Berlin, Germany
| | - Corinna Preuße
- Department of Neuropathology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health (BIH), Charitéplatz 1, 10117, Berlin, Germany
- Department of Neuropediatrics, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health (BIH), Augustenburger Platz 1, 13353, Berlin, Germany
| | - Heike Kölbel
- Department of Neuropaediatrics, Klinik für Kinderheilkunde I, Universitätsklinikum Essen, Essen, Germany
| | - Sven G Meuth
- Department of Neurology, Medical Faculty, Heinrich Heine University Duesseldorf, Moorenstr. 5, 40225, Duesseldorf, Germany
| | - Tobias Ruck
- Department of Neurology, Medical Faculty, Heinrich Heine University Duesseldorf, Moorenstr. 5, 40225, Duesseldorf, Germany
| | - Werner Stenzel
- Department of Neuropathology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health (BIH), Charitéplatz 1, 10117, Berlin, Germany.
- Leibniz Science Campus Chronic Inflammation, Berlin, Germany.
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Martín Pérez SE, Martín Pérez IM, Sánchez-Romero EA, Sosa Reina MD, Muñoz Fernández AC, Alonso Pérez JL, Villafañe JH. Percutaneous Electrical Nerve Stimulation (PENS) for Infrapatellar Saphenous Neuralgia Management in a Patient with Myasthenia gravis (MG). INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:2617. [PMID: 36767982 PMCID: PMC9915414 DOI: 10.3390/ijerph20032617] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 01/24/2023] [Accepted: 01/29/2023] [Indexed: 06/18/2023]
Abstract
Myasthenia gravis is a neuromuscular transmission disorder characterized by weakness of the cranial and skeletal muscles, however, neuropathies are extremely rare. In this case report we present a case of a 61-year-old man diagnosed Myasthenia gravis who came to our attention due to a 1 week of acute deep pain [NPRS 8/10] in the anterior and medial right knee which occurred during walking [NPRS 8/10] or stair climbing [NPRS 9/10]. A complete medical record and clinical examination based on physical exploration and ultrasound assessment confirmed a infrapatellar saphenous neuralgia. Therapeutic interventions included Percutaneous nerve electrical stimulation combined with pain neuroscience education, neural mobilization of the saphenous nerve and quadriceps resistance exercises. After 4 weeks, pain intensity [NRPS = 1/10], knee functionality [OKS = 41/48] and lower limb functionality [LLFI = 80%] were notably improved, nevertheless, fatigue [RPE = 2/10] was similar than baseline. At 2 months of follow-up, the effect on intensity of pain NRPS [0/10] and functionality OKS [40/48] and LLFI [82%] was maintained, however, no significant clinical changes were detected on perceived fatigue RPE Scale [2/10]. Despite the important methodological limitations of this study, our case report highlights the efficacy of percutaneous electrical nerve stimulation combined with physical agents modalities for pain and functionality of infrapatellar saphenous neuralgia in the context of Myasthenia gravis.
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Affiliation(s)
- Sebastián Eustaquio Martín Pérez
- Musculoskeletal Pain and Motor Control Research Group, Faculty of Health Sciences, Universidad Europea de Canarias, 38300 Santa Cruz de Tenerife, Spain
- Musculoskeletal Pain and Motor Control Research Group, Faculty of Sport Sciences, Universidad Europea de Madrid, 28670 Villaviciosa de Odón, Spain
- Departamento de Farmacología y Medicina Física, Área de Radiología y Medicina Física, Secciones de Enfermería y Fisioterapia, Facultad de Ciencias de la Salud, Universidad de La Laguna, 38200 Santa Cruz de Tenerife, Spain
- Escuela de Doctorado y Estudios de Posgrado, Universidad de La Laguna, 38200 Santa Cruz de Tenerife, Spain
| | - Isidro Miguel Martín Pérez
- Departamento de Farmacología y Medicina Física, Área de Radiología y Medicina Física, Secciones de Enfermería y Fisioterapia, Facultad de Ciencias de la Salud, Universidad de La Laguna, 38200 Santa Cruz de Tenerife, Spain
- Escuela de Doctorado y Estudios de Posgrado, Universidad de La Laguna, 38200 Santa Cruz de Tenerife, Spain
| | - Eleuterio A. Sánchez-Romero
- Musculoskeletal Pain and Motor Control Research Group, Faculty of Health Sciences, Universidad Europea de Canarias, 38300 Santa Cruz de Tenerife, Spain
- Musculoskeletal Pain and Motor Control Research Group, Faculty of Sport Sciences, Universidad Europea de Madrid, 28670 Villaviciosa de Odón, Spain
- Department of Physiotherapy, Faculty of Sport Sciences, Universidad Europea de Madrid, 28670 Villaviciosa de Odón, Spain
- Physiotherapy and Orofacial Pain Working Group, Sociedad Española de Disfunción Craneomandibular y Dolor Orofacial (SEDCYDO), 28009 Madrid, Spain
| | - María Dolores Sosa Reina
- Musculoskeletal Pain and Motor Control Research Group, Faculty of Sport Sciences, Universidad Europea de Madrid, 28670 Villaviciosa de Odón, Spain
- Department of Physiotherapy, Faculty of Sport Sciences, Universidad Europea de Madrid, 28670 Villaviciosa de Odón, Spain
| | - Alberto Carlos Muñoz Fernández
- Musculoskeletal Pain and Motor Control Research Group, Faculty of Sport Sciences, Universidad Europea de Madrid, 28670 Villaviciosa de Odón, Spain
- Department of Physiotherapy, Faculty of Sport Sciences, Universidad Europea de Madrid, 28670 Villaviciosa de Odón, Spain
| | - José Luis Alonso Pérez
- Musculoskeletal Pain and Motor Control Research Group, Faculty of Health Sciences, Universidad Europea de Canarias, 38300 Santa Cruz de Tenerife, Spain
- Musculoskeletal Pain and Motor Control Research Group, Faculty of Sport Sciences, Universidad Europea de Madrid, 28670 Villaviciosa de Odón, Spain
- Department of Physiotherapy, Faculty of Sport Sciences, Universidad Europea de Madrid, 28670 Villaviciosa de Odón, Spain
- Onelife Center, Multidisciplinary Pain Treatment Center, 28925 Alcorcón, Spain
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Tong T, Zhang J, Jia L, Liang P, Wang N. Integrated proteomics and metabolomics analysis reveals hubs protein and network alterations in myasthenia gravis. Aging (Albany NY) 2022; 14:5417-5426. [PMID: 35802752 PMCID: PMC9320536 DOI: 10.18632/aging.204156] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Accepted: 06/16/2022] [Indexed: 12/03/2022]
Abstract
Background: Thymoma-associated myasthenia gravis (TAMG) is a well-described subtype of Myasthenia gravis (MG). Nevertheless, the detailed proteins and bioprocess differentiating TAMG from TAMG (−) thymoma have remained unclear. Methods: The proteomics and metabolomics were carried out on serum samples from thymoma group (n = 60, TNMG), TAMG (+) thymoma group (n = 70, TAMG (+)), and TAMG (−) thymomas group (n = 62, TAMG (−)), and controls (n = 159). groups. Proteomics and metabolomics analyses, including weighted gene co-expression network analysis (WGCNA), was conducted to detect the hub proteins and metabolomics processes that could differentiate TAMG (+) from TAMG (−) thymomas. MetaboAnalyst was used to examine the integration of proteomic and metabolomic analysis to differentiate TAMG (+) from TAMG (−) thymomas. Results: The of module–trait correlation of WGCNA analysis identified KRT1, GSN, COL6A1, KRT10, FOLR2, KRT9, KRT2, TPI1, ARF3, LYZ, ADIPOQ, SEMA4B, IGKV1-27, MASP2, IGF2R was associated with TAMG (+) thymomas. In addition, organismal systems-immune system and metabolism-biosynthesis of other secondary metabolites were closely related to the mechanism of TAMG (+) pathogenesis. Conclusion: Our integrated proteomics and metabolomics analysis supply a systems-level view of proteome changes in TAMG (+), TAMG (−) thymomas and exposes disease-associated protein network alterations involved in.
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Affiliation(s)
- Tong Tong
- Department of Anesthesiology, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang 050011, China
| | - Jing Zhang
- Department of Anesthesiology, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang 050011, China
| | - Li Jia
- Department of Anesthesiology, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang 050011, China
| | - Ping Liang
- Department of Pharmacy, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang 050011, China
| | - Na Wang
- Department of Gynaecology, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang 050011, China
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Rituximab in myasthenia gravis: efficacy, associated infections and risk of induced hypogammaglobulinemia. Neuromuscul Disord 2022; 32:664-671. [DOI: 10.1016/j.nmd.2022.06.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 06/15/2022] [Accepted: 06/17/2022] [Indexed: 11/23/2022]
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Cortés-Vicente E, Álvarez-Velasco R, Pla-Junca F, Rojas-Garcia R, Paradas C, Sevilla T, Casasnovas C, Gómez-Caravaca MT, Pardo J, Ramos-Fransi A, Pelayo-Negro AL, Gutiérrez-Gutiérrez G, Turon-Sans J, López de Munain A, Guerrero-Sola A, Jericó I, Martín MA, Mendoza MD, Morís G, Vélez-Gómez B, Garcia-Sobrino T, Pascual-Goñi E, Reyes-Leiva D, Illa I, Gallardo E. Drug-refractory myasthenia gravis: Clinical characteristics, treatments, and outcome. Ann Clin Transl Neurol 2022; 9:122-131. [PMID: 35080153 PMCID: PMC8862423 DOI: 10.1002/acn3.51492] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Revised: 12/09/2021] [Accepted: 12/09/2021] [Indexed: 01/20/2023] Open
Abstract
Objective To describe the clinical characteristics and outcomes in patients with refractory myasthenia gravis (MG) and to determine the effectiveness and side effects of the drugs used for their treatment. Methods This observational retrospective cross‐sectional multicenter study was based on data from the Spanish MG Registry (NMD‐ES). Patients were considered refractory when their MG Foundation of America post‐interventional status (MGFA‐PIS) was unchanged or worse after corticosteroids and two or more other immunosuppressive agents. Clinical and immunologic characteristics of drug‐refractory patients, efficiency and toxicity of drugs used, and outcome (MGFA‐PIS) at end of follow‐up were studied. Results We included 990 patients from 15 hospitals. Eighty‐four patients (68 of 842 anti‐acetylcholine receptor [AChR], 5 of 26 anti‐muscle‐specific tyrosine kinase [MusK], 10 of 120 seronegative, and 1 of 2 double‐seropositive patients) were drug refractory. Drug‐refractory patients were more frequently women (p < 0.0001), younger at onset (p < 0.0001), and anti‐MuSK positive (p = 0.037). Moreover, they more frequently presented a generalized form of the disease, bulbar symptoms, and life‐threatening events (p < 0.0001; p = 0.018; and p = 0.002, respectively) than non‐drug‐refractory patients. Mean follow‐up was 9.8 years (SD 4.5). Twenty‐four (50%) refractory patients had side effects to one or more of the drugs. At the end of follow‐up, 42.9% of drug‐refractory patients (42.6% of anti‐AChR, 100% of anti‐MuSK, and 10% of seronegative patients) and 79.8% of non‐drug‐refractory patients (p < 0.0001) achieved remission or had minimal manifestations. Eighty percent of drug‐refractory‐seronegative patients did not respond to any drug tested. Interpretation In this study, 8.5% of MG patients were drug‐refractory. New more specific drugs are needed to treat drug‐refractory MG patients.
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Affiliation(s)
- Elena Cortés-Vicente
- Neuromuscular Diseases Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.,Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain.,Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
| | - Rodrigo Álvarez-Velasco
- Neuromuscular Diseases Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.,Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain.,Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
| | - Francesc Pla-Junca
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
| | - Ricard Rojas-Garcia
- Neuromuscular Diseases Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.,Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain.,Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
| | - Carmen Paradas
- Neurology Department, Neuromuscular Disorders Unit, Instituto de Biomedicina de Sevilla, Hospital U. Virgen del Rocío, CSIC, Universidad de Sevilla, Sevilla, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Teresa Sevilla
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain.,Neuromuscular Unit, Neurology Department, Hospital Universitari i Politècnic La Fe, Valencia, Spain.,Department of Medicine, Universitat de València, Valencia, Spain.,Biomedical Research Institute La Fe (IIS La Fe), Valencia, Spain
| | - Carlos Casasnovas
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain.,Unitat de Neuromuscular, Neurology Department, Hospital Universitari de Bellvitge - IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | | | - Julio Pardo
- Neurology Department, Hospital Clínico, Santiago de Compostela, Spain
| | - Alba Ramos-Fransi
- Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain.,Neuromuscular Diseases Unit, Department of Neurology, Hospital Germans Trias i Pujol, Badalona, Barcelona, Spain
| | - Ana Lara Pelayo-Negro
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain.,Service of Neurology, University Hospital "Marqués de Valdecilla (IDIVAL)", University of Cantabria (UC), Santander, Spain
| | - Gerardo Gutiérrez-Gutiérrez
- Neuromuscular Diseases Unit, Department of Neurology, Hospital Universitario Infanta Sofía, Universidad Europea de Madrid, San Sebastián de los Reyes, Madrid, Spain
| | - Janina Turon-Sans
- Neuromuscular Diseases Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.,Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain.,Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
| | - Adolfo López de Munain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain.,Neurology Department, Donostia University Hospital, University of the Basque Country, Neurosciences Area, Biodonostia Research Institute, San Sebastián, Spain
| | - Antonio Guerrero-Sola
- Neuromuscular Diseases Unit, Department of Neurology, Institute of Neurosciences, Hospital Universitario Clínico San Carlos, Madrid, Spain
| | - Ivonne Jericó
- Department of Neurology, Complejo Hospitalario de Navarra-IdisNA, Pamplona, Spain
| | | | - María Dolores Mendoza
- Department of Neurology, Hospital Universitario de Gran Canaria Doctor Negrín, Las Palmas de Gran Canaria, Spain
| | - Germán Morís
- Department of Neurology, Hospital Central de Asturias, Oviedo, Spain
| | - Beatriz Vélez-Gómez
- Neurology Department, Neuromuscular Disorders Unit, Instituto de Biomedicina de Sevilla, Hospital U. Virgen del Rocío, CSIC, Universidad de Sevilla, Sevilla, Spain
| | | | - Elba Pascual-Goñi
- Neuromuscular Diseases Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.,Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain.,Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
| | - David Reyes-Leiva
- Neuromuscular Diseases Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.,Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain.,Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
| | - Isabel Illa
- Neuromuscular Diseases Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.,Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain.,Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
| | - Eduard Gallardo
- Neuromuscular Diseases Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.,Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain.,Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
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Hsu CW, Chen NC, Huang WC, Lin HC, Tsai WC, Huang CC, Cheng BC, Tsai NW. Hemogram parameters can predict in-hospital mortality of patients with Myasthenic crisis. BMC Neurol 2021; 21:388. [PMID: 34615473 PMCID: PMC8493047 DOI: 10.1186/s12883-021-02412-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2021] [Accepted: 09/23/2021] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Myasthenia gravis (MG) is an autoimmune disease involving the neuromuscular junction. Myasthenic crisis (MC), which is characterized by respiratory failure and the requirement of mechanical ventilation in patients with MG, is still a medical emergency despite the decrease in mortality with the advances in acute management. Hemogram is a cost-effective test for evaluating hematological complications and systemic inflammation, and hemogram data have been used to predict various clinical outcomes of several diseases. The relationship between hemogram and MG has been discussed, but the role of hemogram data in predicting the prognosis of MC patients has not been established. METHODS To identify whether hemogram data can predict in-hospital mortality in patients with MC, we retrospectively investigated 188 myasthenic crisis events from the Chang Gung Research Database between April 2001 and March 2019. Demographic and clinical characteristics were collected, as well as hemogram data before intubation and extubation. The endpoints were mortality during mechanical ventilation and mortality after extubation. RESULTS The overall in-hospital mortality rate was 22%. Multivariate logistic regression analysis for predicting mortality during mechanical ventilation showed that old age at MC onset (OR = 1.039, p = 0.022), moderate-to-severe anemia (OR = 5.851, p = 0.001), and extreme leukocytosis (OR = 5.659, p = 0.022) before intubation were strong predictors of mortality, while acute management with plasma exchange or double-filtration plasmapheresis (PE/DFPP) significantly decreased mortality (OR = 0.236, p = 0.012). For predicting mortality after extubation, moderate-to-severe anemia before extubation (OR = 8.452, p = 0.017) and non-treated with disease-modifying therapy before MC (OR = 5.459, p = 0.031) were crucial predictive factors. CONCLUSION This study demonstrated that both old age at MC onset and moderate-to-severe anemia are important predictors of in-hospital mortality in patients with MC, and extreme leukocytosis is another crucial predictor of mortality during mechanical ventilation. The suggested mechanism is that anemia-induced hypoxia may enhance the release of proinflammatory cytokines, exacerbate systemic inflammation, and lead to multiple organ dysfunction syndrome and, finally, mortality.
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Affiliation(s)
- Che-Wei Hsu
- Department of Neurology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, No. 123, Ta Pei Road, Niao Sung District, Kaohsiung, 833, Taiwan
| | - Nai-Ching Chen
- Department of Neurology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, No. 123, Ta Pei Road, Niao Sung District, Kaohsiung, 833, Taiwan
| | - Wei-Chin Huang
- Department of Neurology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, No. 123, Ta Pei Road, Niao Sung District, Kaohsiung, 833, Taiwan
| | - Hui-Chen Lin
- Department of Neurology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, No. 123, Ta Pei Road, Niao Sung District, Kaohsiung, 833, Taiwan
| | - Wan-Chen Tsai
- Department of Neurology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, No. 123, Ta Pei Road, Niao Sung District, Kaohsiung, 833, Taiwan
| | - Chih-Cheng Huang
- Department of Neurology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, No. 123, Ta Pei Road, Niao Sung District, Kaohsiung, 833, Taiwan
| | - Ben-Chung Cheng
- Department of Nephrology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Nai-Wen Tsai
- Department of Neurology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, No. 123, Ta Pei Road, Niao Sung District, Kaohsiung, 833, Taiwan.
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Zian Z, Berry SPDG, Bahmaie N, Ghotbi D, Kashif A, Madkaikar M, Bargir UA, Abdullahi H, Khan H, Azizi G. The clinical efficacy of Rituximab administration in autoimmunity disorders, primary immunodeficiency diseases and malignancies. Int Immunopharmacol 2021; 95:107565. [PMID: 33773205 DOI: 10.1016/j.intimp.2021.107565] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Revised: 03/02/2021] [Accepted: 03/03/2021] [Indexed: 02/06/2023]
Abstract
Rituximab (RTX), as a monoclonal antibody-based immunotherapeutic intervention targeting CD20 on B cells, has proven efficacy in the treatment of patients with some immune-mediated diseases. In the present review, we provided information on the immunobiological mechanisms of signaling for RTX and its clinical applications, according to the immune-pathophysiology involved in the microenvironment of multiple diseases. We highlighted combination therapy, dose schedules, and laboratory monitoring, as well as the associated common and rare side effects to avoid. We also discussed the efficacy and safety of RTX-based therapeutic strategies and whether RTX therapy can be used as a promising treatment regimen for autoimmune diseases, primary immunodeficiency diseases, and malignancies. Our review highlights and supports the importance of collaboration between basic medical researchers and clinical specialists when considering the use of RTX in the treatment of various immune-mediated disorders.
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Affiliation(s)
- Zeineb Zian
- Biomedical Genomics and Oncogenetics Research Laboratory, Faculty of Sciences and Techniques of Tangier, P.B. 416, Abdelmalek Essaadi University, Tetouan, Morocco
| | - S P Déo-Gracias Berry
- Centre de Recherches Médicales (CERMEL) de Lambaréné, B.P: 242, Gabon; Technical University of Munich, 80333, Germany
| | - Nazila Bahmaie
- Department of Allergy and Immunology, Faculty of Medicine, Graduate School of Health Science, Near East University (NEU), Nicosia, 99138, Northern Cyprus, Cyprus
| | - Dana Ghotbi
- Faculty of Biological Sciences, University of Kharazmi, Tehran 14911-15719, Iran
| | - Ali Kashif
- Department of Pharmacy, Abdul Wali Khan University, Mardan 23200, Pakistan
| | - Manisha Madkaikar
- Department of Pediatric Immunology and Leukocyte Biology, ICMR-National Institute of Immunohaematology, Mumbai 400070, India
| | - Umair Ahmed Bargir
- Department of Pediatric Immunology and Leukocyte Biology, ICMR-National Institute of Immunohaematology, Mumbai 400070, India
| | - Hamisu Abdullahi
- Department of Immunology, School of Medical Laboratory Sciences, Usmanu Danfodiyo University Sokoto, 840232, Nigeria
| | - Haroon Khan
- Department of Pharmacy, Abdul Wali Khan University, Mardan 23200, Pakistan
| | - Gholamreza Azizi
- Non-communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj 3149779453, Iran.
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