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Masi F, Al Qudsi S, Visigalli D, Zardini E, Capello E, Dicembre LP, Colombo E, Uccelli A, Gastaldi M, Inglese M, Franciotta D. Oligoclonal IgM band patterns in multiple sclerosis: A two-center study. J Neuroimmunol 2025; 404:578622. [PMID: 40288070 DOI: 10.1016/j.jneuroim.2025.578622] [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: 01/28/2025] [Revised: 04/10/2025] [Accepted: 04/20/2025] [Indexed: 04/29/2025]
Abstract
BACKGROUND Cerebrospinal fluid (CSF) oligoclonal IgM bands (OCMBs) have been suggested as prognostic biomarkers in MS, but serum OCMBs meaning is still uncertain. OBJECTIVES We aimed to assess frequency and clinical relevance of all OCMB patterns. METHODS In this retrospective cohort study, 136 paired sera-CSF from consecutive persons with MS (pwMS) were tested in 2 centers for OCMBs using isoelectric focusing-immunoblotting. Active disease was defined as clinical or radiological relapse occurring during two-year follow-up. Predictors of active disease were analyzed with logistic regressions and Kaplan-Meier survival curves. RESULTS OCMBs were found in 6.6 % of pwMS as unique-to-CSF (pattern #2), and in 20.6 % as identical in serum-CSF (pattern #4), without between-cohort difference. Active disease was more frequent in those with pattern #2 (88.9 %) and #4 (64.3 %) than in those OCMB-negative (33.3 %, p < 0.001). In multivariate analysis, pattern #2 (OR: 15.9; 95 % CI [1.8-136]), and pattern #4 (OR: 3.3 95 % CI [1.3-8.3]) were independent predictors of active disease. In survival analysis, pattern #2 (p < 0.001) and #4 (p = 0.017) predicted radiological relapses. CONCLUSIONS Our data confirm that CSF OCMB marks poor prognosis in MS. However, both OCMB pattern #4 and pattern #2, with different strength prediction, might be useful to stratify pwMS deserving more aggressive treatments, although the stratification could be achieved in the near future with more standardized and easily measurable biomarkers (e.g., serum neurofilaments).
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Affiliation(s)
- Francesco Masi
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
| | - Sabrina Al Qudsi
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Italy
| | - Davide Visigalli
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Italy; IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Elisabetta Zardini
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy; Neuroimmunology Research Unit and Multiple Sclerosis Center, IRCCS "C. Mondino" National Neurological Institute, Pavia, Italy
| | - Elisabetta Capello
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Italy; IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Luca Pio Dicembre
- Department of Clinical Pathology, Santa Chiara Hospital-APSS, Trento, Italy
| | - Elena Colombo
- Multiple Sclerosis Center, IRCCS "C. Mondino" National Neurological Institute, Pavia, Italy
| | - Antonio Uccelli
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Italy; IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Matteo Gastaldi
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy; Neuroimmunology Research Unit and Multiple Sclerosis Center, IRCCS "C. Mondino" National Neurological Institute, Pavia, Italy
| | - Matilde Inglese
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Italy; IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Diego Franciotta
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Italy; Department of Clinical Pathology, Santa Chiara Hospital-APSS, Trento, Italy
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Dekeyser C, Hautekeete M, Cambron M, Van Pesch V, Patti F, Kuhle J, Khoury S, Lechner Scott J, Gerlach O, Lugaresi A, Maimone D, Surcinelli A, Grammond P, Kalincik T, Habek M, Willekens B, Macdonell R, Lalive P, Csepany T, Butzkueven H, Boz C, Tomassini V, Foschi M, Sánchez-Menoyo JL, Altintas A, Mrabet S, Iuliano G, Sa MJ, Alroughani R, Karabudak R, Aguera-Morales E, Gray O, de Gans K, van der Walt A, McCombe PA, Deri N, Garber J, Al-Asmi A, Skibina O, Duquette P, Cartechini E, Spitaleri D, Gouider R, Soysal A, Van Hijfte L, Slee M, Amato MP, Buzzard K, Laureys G. Routine CSF parameters as predictors of disease course in multiple sclerosis: an MSBase cohort study. J Neurol Neurosurg Psychiatry 2024; 95:1021-1031. [PMID: 38569872 DOI: 10.1136/jnnp-2023-333307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Accepted: 03/22/2024] [Indexed: 04/05/2024]
Abstract
BACKGROUND It remains unclear whether routine cerebrospinal fluid (CSF) parameters can serve as predictors of multiple sclerosis (MS) disease course. METHODS This large-scale cohort study included persons with MS with CSF data documented in the MSBase registry. CSF parameters to predict time to reach confirmed Expanded Disability Status Scale (EDSS) scores 4, 6 and 7 and annualised relapse rate in the first 2 years after diagnosis (ARR2) were assessed using (cox) regression analysis. RESULTS In total, 11 245 participants were included of which 93.7% (n=10 533) were persons with relapsing-remitting MS (RRMS). In RRMS, the presence of CSF oligoclonal bands (OCBs) was associated with shorter time to disability milestones EDSS 4 (adjusted HR=1.272 (95% CI, 1.089 to 1.485), p=0.002), EDSS 6 (HR=1.314 (95% CI, 1.062 to 1.626), p=0.012) and EDSS 7 (HR=1.686 (95% CI, 1.111 to 2.558), p=0.014). On the other hand, the presence of CSF pleocytosis (≥5 cells/µL) increased time to moderate disability (EDSS 4) in RRMS (HR=0.774 (95% CI, 0.632 to 0.948), p=0.013). None of the CSF variables were associated with time to disability milestones in persons with primary progressive MS (PPMS). The presence of CSF pleocytosis increased ARR2 in RRMS (adjusted R2=0.036, p=0.015). CONCLUSIONS In RRMS, the presence of CSF OCBs predicts shorter time to disability milestones, whereas CSF pleocytosis could be protective. This could however not be found in PPMS. CSF pleocytosis is associated with short-term inflammatory disease activity in RRMS. CSF analysis provides prognostic information which could aid in clinical and therapeutic decision-making.
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Affiliation(s)
| | | | - Melissa Cambron
- Neurology, Sint-Jan Bruges Hospital, Bruges, Belgium
- University of Ghent, Ghent, Belgium
| | - Vincent Van Pesch
- Neurology, Cliniques Universitaires Saint-Luc, Brussels, Belgium
- Université Catholique de Louvain, Ottignies-Louvain-la-Neuve, Belgium
| | - Francesco Patti
- Neuroscience, University of Catania Department of Surgical and Medical Sciences and Advanced Technologies 'G.F. Ingrassia', Catania, Italy
- Multiple Sclerosis Unit, AOU Policlinico G Rodolico-San Marco, Catania, Italy
| | - Jens Kuhle
- Neurology, University Hospital Basel, Basel, Switzerland
- Biomedicine and Clinical Research, Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Basel, Switzerland
| | - Samia Khoury
- Nehme and Therese Tohme Multiple Sclerosis Center, American University of Beirut Medical Center, Beirut, Lebanon
| | - Jeanette Lechner Scott
- Hunter Medical Research Institute, The University of Newcastle, Newcastle, New South Wales, Australia
- Hunter New England Health, John Hunter Hospital, New Lambton Heights, New South Wales, Australia
| | - Oliver Gerlach
- Neurology, Zuyderland Medical Centre, Sittard-Geleen, The Netherlands
- Neurology, Universiteit Maastricht School for Mental Health and Neuroscience, Maastricht, The Netherlands
| | - Alessandra Lugaresi
- UOSI Riabilitazione Sclerosi Multipla, IRCCS Istituto Delle Scienze Neurologiche di Bologna, Bologna, Italy
- Dipartimento di Scienze Biomediche e Neuromotorie, Università di Bologna, Bologna, Italy
| | - Davide Maimone
- Centro Sclerosi Multipla, UOC Neurologia, Azienda Ospedaliera Cannizzaro, Catania, Italy
| | - Andrea Surcinelli
- Department of Neuroscience, MS Center, S Maria delle Croci Hospital, Ravenna, Italy
| | - Pierre Grammond
- CISSS Chaudière-Appalaches Research Center, Levis, Quebec, Canada
| | - Tomas Kalincik
- Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia
- Department of Neurology, Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Mario Habek
- University Hospital Centre Zagreb Department of Neurology, Zagreb, Croatia
- University of Zagreb School of Medicine, Zagreb, Zagreb, Croatia
| | - Barbara Willekens
- Neurology, Universitair Ziekenhuis Antwerpen, Edegem, Belgium
- Laboratory of Experimental Hematology, Universiteit Antwerpen Faculteit geneeskunde en gezondheidswetenschappen, Wilrijk, Belgium
| | | | - Patrice Lalive
- Clinical Neurosciences, Division of Neurology, Unit of Neuroimmunology, Geneva University Hospitals Department of Medicine, Geneve, Switzerland
| | - Tunde Csepany
- Department of Neurology, University of Debrecen, Debrecen, Hungary
| | - Helmut Butzkueven
- Department of Neuroscience, Monash University Central Clinical School, Melbourne, Victoria, Australia
- Neurology, The Alfred Hospital, Melbourne, Victoria, Australia
| | - Cavit Boz
- Neurology, Karadeniz Technical University, Medical Faculty, Trabzon, Turkey
| | - Valentina Tomassini
- Istituto di Tecnologie Avanzate Biomediche (ITAB), Dipartimento di Neuroscienze e Imaging e Scienze Cliniche; Centro Sclerosi Multipla, Clinica Neurologica, Ospedale SS Annunziata, Università degli Studi Gabriele d'Annunzio Chieti Pescara, Chieti, Italy
- University G. d'Annunzio of Chieti-Pescara, Chieti, Italy
| | - Matteo Foschi
- Department of Neuroscience, MS Center, Neurology Unit, S. Maria delle Croci Hospital, Ravenna, Italy
- Department of Biotechnological and Applied Clinical Sciences (DISCAB), University of L'Aquila, L'Aquila, Italy
| | - José Luis Sánchez-Menoyo
- Neurology, Galdakao-Usansolo University Hospital, Osakidetza-Basque Health Service, Galdakao, Spain
- Biocruces Bizkaia Health Research Institute, Barakaldo, Spain
| | - Ayse Altintas
- Neurology, Koc University School of Medicine and Koc University Research Center for Translational Medicine (KUTTAM), Istanbul, Turkey
| | - Saloua Mrabet
- Neurology, Razi University Hospital, Clinical Investigation Centre Neurosciences and Mental Health, Tunis, Tunisia
- University of Tunis El Manar Faculty of Medicine of Tunis, Tunis, Tunisia
| | | | - Maria Jose Sa
- Neurology, Centro Hospitalar de São João, Porto, Portugal
- Fernando Pessoa University Faculty of Health Sciences, Porto, Portugal
| | | | - Rana Karabudak
- Neurological Sciences, Yeditepe Universitesi, Istanbul, Turkey
- Neuroimmunology, Koşuyolu Hospitals, Istanbul, Turkey
| | - Eduardo Aguera-Morales
- Neurology, Hospital Universitario Reina Sofia, Cordoba, Spain
- GC28 Neuroplasticity and Oxidative Stress, IMIBIC, Cordoba, Spain
| | - Orla Gray
- South Eastern HSC Trust, Belfast, UK
| | | | - Anneke van der Walt
- Monash University Central Clinical School, Melbourne, Victoria, Australia
- Alfred Hospital, Melbourne, Victoria, Australia
| | - Pamela A McCombe
- UQCCR, Royal Brisbane and Woman's Hospital Health Service District, Herston, Queensland, Australia
- The University of Queensland, Brisbane, Queensland, Australia
| | - Norma Deri
- Hospital Fernandez, Buenos Aires, Argentina
| | - Justin Garber
- Westmead Hospital, Sydney, New South Wales, Australia
| | - Abdullah Al-Asmi
- Sultan Qaboos University College of Medicine and Health Science, Muscat, Muscat Governorate, Oman
| | - Olga Skibina
- Neurosciences, The Alfred, Melbourne, Victoria, Australia
- Neurology, Box Hill Hospital, Box Hill, Victoria, Australia
| | | | | | - Daniele Spitaleri
- Neurology, Azienda Ospedaliera di Rilievo Nazionale e di Alta Specialità San Giuseppe Moscati Neurologia e Stroke Unit, Avellino, Italy
| | - Riadh Gouider
- University of Tunis El Manar Faculty of Medicine of Tunis, Tunis, Tunisia
- Department of Neurology, Razi Hospital, Faculty of Medicine of Tunis, University Tunis el Manar, Tunisia, Manouba, Tunisia
| | - Aysun Soysal
- Bakirkoy Education and Research Hospital for Psychiatric and Neurological Diseases, Istanbul, Turkey
| | | | - Mark Slee
- Neurology, Flinders Medical Centre, Adelaide, South Australia, Australia
| | - Maria Pia Amato
- Department NEUROFARBA, University of Florence, Florence, Italy
- IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Katherine Buzzard
- Department of Neurology, Box Hill Hospital, Melbourne, Victoria, Australia
- Eastern Health Clinical School, Monash University, Box Hill, Victoria, Australia
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Tunç A, Seferoğlu M, Sıvacı AÖ, Köktürk MD, Akbaş AA, Bozkurt B, Öncel S. Oligoclonal band count as a marker of disease activity and progression in multiple sclerosis: A multicenter study. J Clin Neurosci 2024; 126:353-360. [PMID: 39042971 DOI: 10.1016/j.jocn.2024.07.013] [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: 05/27/2024] [Revised: 06/23/2024] [Accepted: 07/16/2024] [Indexed: 07/25/2024]
Abstract
BACKGROUND Cerebrospinal fluid (CSF) biomarkers provide critical insights into the pathophysiology and progression of multiple sclerosis (MS), as this study aimed to investigate the relationships between CSF oligoclonal band (OCB) counts and the clinical course and short-term prognosis of MS patients. METHODS A retrospective cohort analysis covering a five-year period was conducted at two MS centers. Data on demographics, clinical presentation, MRI findings, EDSS scores, annualized relapse rate (ARR) in the first two years, and CSF analyses were analyzed. RESULTS Among 310 patients, the ages ranged from 19 to 73 years, with a mean age of 38 years. OCBs were detected in 86.5 % (n = 268) of the patients. Those with a greater number of OCB bands had significantly more upper cervical lesions and T2 lesions (p < 0.05). A weak positive correlation was found between OCB and the IgG index score. No significant relationship was observed between band count and the ARR or EDSS score. OCB-positive patients had higher IgG index scores and more upper cervical lesions (p < 0.05). Additionally, patients with elevated IgG index levels (>0.7) exhibited significantly greater EDSS scores and more T2 lesions (p < 0.05). CONCLUSIONS This study highlights the importance of OCB counts as a significant marker for assessing disease activity and progression in MS patients. These findings emphasize the need for a comprehensive approach that integrates CSF analysis with clinical and radiological data to effectively manage MS and tailor treatment strategies.
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Affiliation(s)
- Abdulkadir Tunç
- Sakarya University, Faculty of Medicine, Department of Neurology, Sakarya, Turkey.
| | - Meral Seferoğlu
- University Of Health Sciences Bursa Yuksek Ihtisas Training and Research Hospital, Department of Neurology, Bursa, Turkey
| | - Ali Özhan Sıvacı
- University Of Health Sciences Bursa Yuksek Ihtisas Training and Research Hospital, Department of Neurology, Bursa, Turkey
| | - Mevrehan Dilber Köktürk
- University Of Health Sciences Bursa Yuksek Ihtisas Training and Research Hospital, Department of Neurology, Bursa, Turkey
| | | | - Beyzanur Bozkurt
- Sakarya University, Faculty of Medicine, Department of Neurology, Sakarya, Turkey
| | - Samet Öncel
- Sakarya Training and Research Hospital, Department of Neurology, Sakarya, Turkey
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Tortosa-Carreres J, Cubas-Núñez L, Quiroga-Varela A, Castillo-Villalba J, Ramió-Torrenta L, Piqueras M, Gasqué-Rubio R, Quintanilla-Bordas C, Sanz MT, Lucas C, Huertas-Pons JM, Miguela A, Casanova B, Laiz-Marro B, Pérez-Miralles FC. Predictive potential of serum and cerebrospinal fluid biomarkers for disease activity in treated multiple sclerosis patients. Mult Scler Relat Disord 2024; 88:105734. [PMID: 38909525 DOI: 10.1016/j.msard.2024.105734] [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: 04/08/2024] [Revised: 06/15/2024] [Accepted: 06/16/2024] [Indexed: 06/25/2024]
Abstract
BACKGROUND Our objective was to explore various biomarkers for predicting suboptimal responses to disease-modifying treatments (DMTs) in patients with MS (pwMS). METHODS We conducted a longitudinal, bicentric study with pwMS stratified based on their DMTs responses. Treatment failure (TF) was defined as the onset of a second relapse, presence of two or more T2 new lesions, or disability progression independent of relapse during the follow-up period. We evaluated intrathecal synthesis (ITS) of IgG and IgM using OCB, linear indices, and Reibergrams. Free kappa light chains ITS was assessed using the linear index (FKLCi). NfL and GFAP in serum and CSF, and CHI3L1 in CSF were quantified. Quantitative variables were dichotomized based on the third quartile. Predictive efficacy was assessed through bivariate and multivariate analyses, adjusting for age, sex, EDSS, acute inflammatory activity (AI) -defined as the onset of a relapse or gadolinium-enhancing lesions within a 90-day window of lumbar puncture-, treatment modality, study center, and time from disease onset to treatment initiation. In case of collinearity, multiple models were generated or confounding variables were excluded if collinearity existed between them and the biomarker. The same methodology was used to investigate the predictive potential of various combinations of two biomarkers, based on whether any of them tested positive or exceeded the third quartile. RESULTS A total of 137 pwMS were included. FKLCi showed no differences based on AI, no correlation with EDSS and was significantly higher in pwMS with TF (p = 0.008). FKLCi>130 was associated with TF in bivariate analysis (Log-Rank p = 0.004). Due to collinearity between age and EDSS, two different models were generated with each of them and the rest of the confounding variables, in which FKLCi>130 showed a Hazard Ratio (HR) of 2.69 (CI: 1.35-5.4) and 2.67 (CI: 1.32-5.4), respectively. The combination of either FKLC or sNfL exceeding the third quartile was also significant in bivariate (Log-Rank p = 0.04) and multivariate (HR=3.1 (CI: 1.5-6.5)) analyses. However, when analyzed independently, sNfL did not show significance, and FKLCi mirrored the pattern obtained in the previous model (HR: 3.04; CI: 1.51-6.1). Treatment with highefficacy DMTs emerged as a protective factor in all models. DISCUSSION Our analysis and the fact that FKLCi is independent of EDSS and AI suggest that it might be a valuable parameter for discriminating aggressive phenotypes. We propose implementing high-efficacy drugs in pwMS with elevated FKLCi.
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Affiliation(s)
- Jordi Tortosa-Carreres
- Laboratory Department, La Fe University and Polytechnic Hospital, Valencia 46026, Spain; Medicine Department, University of Valencia, Valencia 46010, Spain; Neuroimmunology Unit, Health Research Institute La Fe (IISLAFE), Valencia, Spain.
| | - Laura Cubas-Núñez
- Neuroimmunology Unit, Health Research Institute La Fe (IISLAFE), Valencia, Spain.
| | - Ana Quiroga-Varela
- Girona Neuroimmumology and Multiple Sclerosis Unit, Neurology Department, Dr. Josep Trueta University Hospital and Santa Caterina Hospital, Girona, Spain
| | - Jessica Castillo-Villalba
- Neuroimmunology Unit, Health Research Institute La Fe (IISLAFE), Valencia, Spain; Girona Neuroimmumology and Multiple Sclerosis Unit, Neurology Department, Dr. Josep Trueta University Hospital and Santa Caterina Hospital, Girona, Spain
| | - Lluís Ramió-Torrenta
- Girona Neuroimmumology and Multiple Sclerosis Unit, Neurology Department, Dr. Josep Trueta University Hospital and Santa Caterina Hospital, Girona, Spain; Neurodegeneration and Neuroinflammation Research Group, Girona Biomedical Research Institute (IDIBGI), Girona, Spain; Medical Sciences Department, University of Girona, Girona, Spain
| | - Mónica Piqueras
- Laboratory Department, La Fe University and Polytechnic Hospital, Valencia 46026, Spain; Medicine Department, University of Valencia, Valencia 46010, Spain; Respiratory Infections, Health Research Institute La Fe (IISLAFE), Valencia, Spain
| | - Raquel Gasqué-Rubio
- Medicine Department, University of Valencia, Valencia 46010, Spain; Neuroimmunology Unit, Health Research Institute La Fe (IISLAFE), Valencia, Spain
| | - Carlos Quintanilla-Bordas
- Neuroimmunology Unit, Health Research Institute La Fe (IISLAFE), Valencia, Spain; Neurology Department, La Fe University and Polytechnic Hospital, Valencia 46026, Spain
| | - Maria Teresa Sanz
- Department of Didactic of Mathematics, University of Valencia, Spain
| | - Celia Lucas
- Computer Systems, La Fe University and Polytechnic Hospital, Valencia 46026, Spain
| | - Joana María Huertas-Pons
- Girona Neuroimmumology and Multiple Sclerosis Unit, Neurology Department, Dr. Josep Trueta University Hospital and Santa Caterina Hospital, Girona, Spain
| | - Albert Miguela
- Girona Neuroimmumology and Multiple Sclerosis Unit, Neurology Department, Dr. Josep Trueta University Hospital and Santa Caterina Hospital, Girona, Spain
| | - Bonaventura Casanova
- Neuroimmunology Unit, Health Research Institute La Fe (IISLAFE), Valencia, Spain; Neurology Department, La Fe University and Polytechnic Hospital, Valencia 46026, Spain
| | - Begoña Laiz-Marro
- Laboratory Department, La Fe University and Polytechnic Hospital, Valencia 46026, Spain
| | - Francisco Carlos Pérez-Miralles
- Neuroimmunology Unit, Health Research Institute La Fe (IISLAFE), Valencia, Spain; Neurology Department, La Fe University and Polytechnic Hospital, Valencia 46026, Spain
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Taşkıran E, Terzi M, Helvacı EM, Eser MZ, Avcı B, Ömer Faruk T, Yetkin MF, Çilingir V, Bir LS, Kabay SC, Bilge N, Poyraz T, Demir CF, Dündar DK, Ocak Ö, Çam M, Mavioğlu H, Altun Y, Karaibrahimoğlu A. The role of oligoclonal band count and IgG index in treatment response and disease activity in multiple sclerosis. Mult Scler Relat Disord 2024; 83:105391. [PMID: 38335838 DOI: 10.1016/j.msard.2023.105391] [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: 10/25/2023] [Revised: 12/04/2023] [Accepted: 12/17/2023] [Indexed: 02/12/2024]
Abstract
BACKGROUND/AIM Multiple sclerosis (MS) is an inflammatory demyelinating central nervous system (CNS) disease. Among the paraclinical tests, brain and spinal Magnetic Resonance Imaging (MRI) is primarily involved in the diagnosis process, and cerebrospinal fluid (CSF) analysis is fundamental in diagnosing MS and the differential diagnosis. A positive relationship was demonstrated between oligoclonal band (OCB) positivity, CSF band number and immunoglobulin G(IgG) index. The study aimed to evaluate whether the number of OCB can predict disease activity and determine a correlation with the IgG index. METHODS Our study included 401 MS patients who had relapsing-remitting multiple sclerosis (RRMS), primary progressive multiple sclerosis (PPMS), secondary progressive multiple sclerosis (SPMS), clinic isolated syndrome (CIS), radiologic isolated syndrome (RIS), Neuromyelitis optica spectrum disorder (NMOSD) and Acute disseminated encephalomyelitis (ADEM) with OCB number groups of 2-4, 4-8, 8-12, and 12 and above. RESULTS No significant correlation was observed between IgG index, pre-and post-treatment EDSS (Expanded Disability Status Scale Scores) and disease-modifying therapies (DMT). Drug response was better in the patient group with band number between 2 and 8 and post-treatment EDSS scores were lower (1.62±0.44). CONCLUSION The study results suggested that band number may be as valuable as the IgG index and a predictive biomarker for disease activity.
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Affiliation(s)
- Esra Taşkıran
- Antalya Training and Research Hospital Neurology Clinic, Turkey, Esra Taşkıran.
| | - Murat Terzi
- Ondokuz Mayıs University Faculty of Medicine, Department of Neurology, Turkey, Murat Terzi
| | - Elif Merve Helvacı
- Ondokuz Mayıs University Graduate School of Education, Department of Neurosciences, Turkey, Elif Merve Helvacı
| | - Meltem Zeycan Eser
- Ondokuz Mayıs University, Department of Biochemistry, Turkey, Meltem Zeycan ESER
| | - Bahattin Avcı
- Ondokuz Mayıs University, Department of Biochemistry, Turkey, Bahaddin Avcı
| | - Turan Ömer Faruk
- Uludag University Faculty of Medicine, Department of Neurology, Turkey, Ömer Faruk Turan
| | | | - Vedat Çilingir
- Van Yüzüncüyıl University Faculty of Medicine, Turkey, Vedat Çilingir
| | - Levent Sinan Bir
- Pamukkale University Faculty of Medicine, Turkey, Levent Sinan Bir
| | | | - Nuray Bilge
- Atatürk University Faculty of Medicine, Turkey, Nuray Bilge
| | | | | | | | - Özgül Ocak
- Muğla University Faculty of Medicine, Turkey, Ozgul Ocak
| | - Mustafa Çam
- Çanakkale University Faculty of Medicine, Turkey, Mustafa Çam
| | - Hatice Mavioğlu
- Celal Bayar University Faculty of Medicine, Turkey, Hatice Mavioğlu
| | - Yaşar Altun
- Adıyaman University Faculty of Medicine, Turkey, Yaşar Altun
| | - Adnan Karaibrahimoğlu
- Süleyman Demirel University Faculty of Medicine, Department of Biostatistics and Medical Informatics, Turkey, Adnan Karaibrahimoğlu
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6
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Zhang X, Hao H, Jin T, Qiu W, Yang H, Xue Q, Yin J, Shi Z, Yu H, Ji X, Sun X, Zeng Q, Liu X, Wang J, Li H, He X, Yang J, Li Y, Liu S, Lau AY, Gao F, Hu S, Chu S, Ding D, Zhou H, Li H, Chen X. Cerebrospinal fluid oligoclonal bands in Chinese patients with multiple sclerosis: the prevalence and its association with clinical features. Front Immunol 2023; 14:1280020. [PMID: 38035077 PMCID: PMC10687400 DOI: 10.3389/fimmu.2023.1280020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Accepted: 10/27/2023] [Indexed: 12/02/2023] Open
Abstract
Background Cerebrospinal fluid oligoclonal band (CSF-OCB) is an established biomarker in diagnosing multiple sclerosis (MS), however, there are no nationwide data on CSF-OCB prevalence and its diagnostic performance in Chinese MS patients, especially in the virtue of common standard operation procedure (SOP). Methods With a consensus SOP and the same isoelectric focusing system, we conducted a nationwide multi-center study on OCB status in consecutively, and recruited 483 MS patients and 880 non-MS patients, including neuro-inflammatory diseases (NID, n = 595) and non-inflammatory neurological diseases (NIND, n=285). Using a standardized case report form (CRF) to collect the clinical, radiological, immunological, and CSF data, we explored the association of CSF-OCB positivity with patient characters and the diagnostic performance of CSF-OCB in Chinese MS patients. Prospective source data collection, and retrospective data acquisition and statistical data analysis were used. Findings 369 (76.4%) MS patients were OCB-positive, while 109 NID patients (18.3%) and 6 NIND patients (2.1%) were OCB-positive, respectively. Time from symptom onset to diagnosis was significantly shorter in OCB-positive than that in OCB-negative MS patients (13.2 vs 23.7 months, P=0.020). The prevalence of CSF-OCB in Chinese MS patients was significantly higher in high-latitude regions (41°-50°N)(P=0.016), and at high altitudes (>1000m)(P=0.025). The diagnostic performance of CSF-OCB differentiating MS from non-MS patients yielded a sensitivity of 76%, a specificity of 87%. Interpretation The nationwide prevalence of CSF-OCB was 76.4% in Chinese MS patients, and demonstrated a good diagnostic performance in differentiating MS from other CNS diseases. The CSF-OCB prevalence showed a correlation with high latitude and altitude in Chinese MS patients.
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Affiliation(s)
- Xiang Zhang
- Department of Neurology, Huashan Hospital, Fudan University and Institute of Neurology, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Hongjun Hao
- Department of Neurology, Peking University First Hospital, Beijing, China
| | - Tao Jin
- Department of Neurology and Neuroscience Center, The First Hospital of Jilin University, Changchun, China
| | - Wei Qiu
- Department of Neurology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Huan Yang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Qun Xue
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Jian Yin
- Department of Neurology, Beijing Hospital, Beijing, China
| | - Ziyan Shi
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Hai Yu
- Department of Neurology, Huashan Hospital, Fudan University and Institute of Neurology, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Xiaopei Ji
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Xiaobo Sun
- Department of Neurology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Qiuming Zeng
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Xiaoni Liu
- Department of Neurology, Huashan Hospital, Fudan University and Institute of Neurology, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Jingguo Wang
- Department of Neurology, Huashan Hospital, Fudan University and Institute of Neurology, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Huining Li
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Xiaoyan He
- Department of Neurology, The Xinjiang Uygur Autonomous Region People’s Hospital, Urumqi, China
| | - Jing Yang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yarong Li
- Department of Neurology, Huashan Hospital, Fudan University and Institute of Neurology, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Shuangshuang Liu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Alexander Y. Lau
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Feng Gao
- Department of Neurology, Peking University First Hospital, Beijing, China
| | - Shimin Hu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
- Department of Clinical Epidemiology and Evidence-Based Medicine, Xuanwu Hospital Capital Medical University, Beijing, China
| | - Shuguang Chu
- Department of Radiology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Ding Ding
- Department of Neurology, Huashan Hospital, Fudan University and Institute of Neurology, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Hongyu Zhou
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Haifeng Li
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Xiangjun Chen
- Department of Neurology, Huashan Hospital, Fudan University and Institute of Neurology, Fudan University, National Center for Neurological Disorders, Shanghai, China
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7
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Sánchez-Vera I, Escudero E, Muñoz Ú, Sádaba MC. IgM to phosphatidylcholine in multiple sclerosis patients: from the diagnosis to the treatment. Ther Adv Neurol Disord 2023; 16:17562864231189919. [PMID: 37599706 PMCID: PMC10437209 DOI: 10.1177/17562864231189919] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 07/07/2023] [Indexed: 08/22/2023] Open
Abstract
Multiple sclerosis (MS) is a demyelinating and neurodegenerative disease of the central nervous system. It affects young people, and a considerable percentage of patients need the help of a wheelchair in 15 years of evolution. Currently, there is not a specific technique for the diagnosis of MS. The detection of oligoclonal IgG bands (OIgGBs) is the most sensitive assay for it, but it is not standardizable, only reference laboratories develop it, and uses cerebrospinal fluid. To obtain this sample, a lumbar puncture is necessary, an invasive proceeding with important side effects. It is important to develop and implement standard assays to obtain a rapid diagnosis because the earlier the treatment, the better the evolution of the disease. There are numerous modifying disease therapies, which delay the progression of the disease, but they have important side effects, and a considerable percentage of patients give up the treatment. In addition, around 40% of MS patients do not respond to the therapy and the disease progresses. Numerous researches have been focused on the characterization of predictive biomarkers of response to treatment, in order to help physicians to decide when to change to a second-line treatment, and then the best therapeutic option. Here, we review the new biomarkers for the diagnosis and response to treatment in MS. We draw attention in a new assay, the detection of serum IgM to phosphatidylcholine, that showed a similar sensitivity as OIgGBs and predicts the response to disease modifying treatments.
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Affiliation(s)
- Isabel Sánchez-Vera
- Facultad de Medicina, Instituto de Medicina Molecular Aplicada (IMMA), Universidad San Pablo-CEU, CEU Universities, Madrid, Spain
| | - Esther Escudero
- Facultad de Medicina, Instituto de Medicina Molecular Aplicada (IMMA), Universidad San Pablo-CEU, CEU Universities, Madrid, Spain
| | - Úrsula Muñoz
- Facultad de Medicina, Instituto de Medicina Molecular Aplicada (IMMA), Universidad San Pablo-CEU, CEU Universities, Madrid, Spain
| | - María C. Sádaba
- Facultad de Medicina, Instituto de Medicina Molecular Aplicada (INMA), Universidad San Pablo-CEU, CEU Universities, Crta Boadilla del Monte Km 5,3, Madrid 28668, Spain
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8
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Belimezi M, Kalliaropoulos A, Mentis AFA, Chrousos GP. Diagnostic significance of IgG and albumin indices versus oligoclonal band types in demyelinating disorders. J Clin Pathol 2023; 76:166-171. [PMID: 34526372 DOI: 10.1136/jclinpath-2021-207766] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Accepted: 08/29/2021] [Indexed: 11/04/2022]
Abstract
AIMS The laboratory diagnosis of demyelinating inflammatory disorders (DIDs) relies on both intrathecal oligoclonal band (OCB) positivity and IgG index. Although OCB typing remains the gold-standard test for DIDs, it can be laborious and ambiguous, complicating diagnostics, and unduly increasing diagnostic time. We examined whether serum or cerebrospinal fluid (CSF) parameters can classify OCB types and, thus, be used as a replacement test to standard OCB typing. METHODS We retrospectively analysed >1000 prospectively collected samples of patients with DIDs and quantified albumin and IgG levels in the CSF and serum. We determined OCB types by isoelectric focusing combined with immunofixation and evaluated the diagnostic accuracies of IgG and albumin indices in discriminating OCB types by receiver operating characteristic curves and multinomial regression. RESULTS An IgG index cut-off of 0.589 differentiated types 2/3 from types 1/4 (area under the curve 0.780, 95% CI 0.761 to 0.812, p<0.001; specificity: 71.10%, sensitivity: 73.45%). Albumin quotient cut-off values of 6.625 and of 6.707 discriminated type 1 from type 4 and type 2 from type 3, respectively (specificity: <55%, sensitivity: <75%). Female sex, age, IgG index, CSF IgG and serum albumin were associated with different OCB types. CONCLUSIONS Our study reveals that IgG and albumin index can differentiate OCB types with adequate accuracy, especially if refined by age and gender.
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Affiliation(s)
- Maria Belimezi
- Diagnostic Services Laboratory, Hellenic Pasteur Institute, Athens, Greece
| | | | - Alexios-Fotios A Mentis
- Diagnostic Services Laboratory, Hellenic Pasteur Institute, Athens, Greece .,University Research Institute of Maternal and Child Health and Precision Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - George P Chrousos
- University Research Institute of Maternal and Child Health and Precision Medicine, National and Kapodistrian University of Athens, Athens, Greece
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9
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Rosenstein I, Rasch S, Axelsson M, Novakova L, Blennow K, Zetterberg H, Lycke J. Increased intrathecal neurofilament light and immunoglobulin M predict severe disability in relapsing-remitting multiple sclerosis. Front Immunol 2022; 13:967953. [PMID: 36032114 PMCID: PMC9399944 DOI: 10.3389/fimmu.2022.967953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 07/25/2022] [Indexed: 11/15/2022] Open
Abstract
Background Emerging evidence supports that determination of intrathecal immunoglobulin M (IgM) synthesis (ITMS) and neurofilament light (NfL) concentration in cerebrospinal fluid (CSF) may be clinically useful as disease severity biomarkers in relapsing-remitting multiple sclerosis (RRMS). Methods Monocentric observational longitudinal cohort study in which prospectively collected data were retrospectively retrieved. Included were patients with RRMS (n=457) who had a diagnostic investigation including analysis of ITMS and CSF neurofilament light (cNfL). ITMS was calculated with the linear index formula, the intrathecal fraction of IgM according to Reiber (IgMIF), and by qualitative determination of oligoclonal IgM bands (OCMB). Univariable and multivariable models were performed to predict Evidence of Disease Activity-3 (EDA-3) status within 24 months from onset, and the risk of Expanded Disability Status Score (EDSS) ≥3 and ≥6. Results All investigated methods to calculate ITMS significantly predicted evidence of disease activity (EDA-3) within 24 months. IgMIF>0% showed the strongest association with EDA-3 status (adjusted hazard ratio [aHR] 3.7, 95%CI 2.7-5, p<0.001). Combining IgM-index>0.1 or OCMB with increased cNfL were strong predictors of EDSS≥3 (for cNfL+/IgM-index+: aHR 4.6, 95%CI 2.6-8.2, p<0.001) and EDSS≥6 (aHR 8.2, 95%CI 2.3-30, p<0.001). Conclusions In a real-world setting, ITMS was a useful biomarker in early RRMS to predict disabling MS and its prognostic value was even stronger in combination with cNfL. Our data suggest that determination of ITMS and cNfL should be included in the diagnostic work-up of RRMS for prognostic purposes and in decisions of disease-modifying therapy.
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Affiliation(s)
- Igal Rosenstein
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology at Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- *Correspondence: Igal Rosenstein,
| | - Sofia Rasch
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Markus Axelsson
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology at Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Lenka Novakova
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology at Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden
| | - Henrik Zetterberg
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden
- UK Dementia Research Institute at University College London (UCL), London, United Kingdom
- Department of Neurodegenerative Disease, University College London (UCL) Queen Square Institute of Neurology, London, United Kingdom
- Hong Kong Centre for Neurodegenerative Diseases, Hong Kong, Hong Kong SAR, China
| | - Jan Lycke
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology at Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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10
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Petržalka M, Meluzínová E, Libertínová J, Mojžišová H, Hanzalová J, Ročková P, Elišák M, Kmetonyová S, Šanda J, Sobek O, Marusič P. IL-2, IL-6 and chitinase 3-like 2 might predict early relapse activity in multiple sclerosis. PLoS One 2022; 17:e0270607. [PMID: 35759479 PMCID: PMC9236235 DOI: 10.1371/journal.pone.0270607] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 06/13/2022] [Indexed: 11/19/2022] Open
Abstract
Background The possibility to better predict the severity of the disease in a patient newly diagnosed with multiple sclerosis would allow the treatment strategy to be personalized and lead to better clinical outcomes. Prognostic biomarkers are highly needed. Objective To assess the prognostic value of intrathecal IgM synthesis, cerebrospinal fluid and serum IL-2, IL-6, IL-10, chitinase 3-like 2 and neurofilament heavy chains obtained early after the onset of the disease. Methods 58 patients after the first manifestation of multiple sclerosis were included. After the initial diagnostic assessment including serum and cerebrospinal fluid biomarkers, all patients initiated therapy with either glatiramer acetate, teriflunomide, or interferon beta. To assess the evolution of the disease, we followed the patients clinically and with MRI for two years. Results The IL-2:IL-6 ratio (both in cerebrospinal fluid) <0.48 (p = 0.0028), IL-2 in cerebrospinal fluid ≥1.23pg/ml (p = 0.026), and chitinase 3-like 2 in cerebrospinal fluid ≥7900pg/ml (p = 0.033), as well as baseline EDSS ≥1.5 (p = 0.0481) and age <22 (p = 0.0312), proved to be independent markers associated with shorter relapse free intervals. Conclusion The IL-2:IL-6 ratio, IL-2, and chitinase 3-like 2 (all in cerebrospinal fluid) might be of value as prognostic biomarkers in early phases of multiple sclerosis.
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Affiliation(s)
- Marko Petržalka
- Second Faculty of Medicine, Department of Neurology, Charles University and Motol University Hospital, Prague, Czech Republic
- * E-mail:
| | - Eva Meluzínová
- Second Faculty of Medicine, Department of Neurology, Charles University and Motol University Hospital, Prague, Czech Republic
| | - Jana Libertínová
- Second Faculty of Medicine, Department of Neurology, Charles University and Motol University Hospital, Prague, Czech Republic
| | - Hana Mojžišová
- Second Faculty of Medicine, Department of Neurology, Charles University and Motol University Hospital, Prague, Czech Republic
| | - Jitka Hanzalová
- Second Faculty of Medicine, Department of Neurology, Charles University and Motol University Hospital, Prague, Czech Republic
- Second Faculty of Medicine, Department of Immunology, Charles University and Motol University Hospital, Prague, Czech Republic
| | - Petra Ročková
- Second Faculty of Medicine, Department of Neurology, Charles University and Motol University Hospital, Prague, Czech Republic
| | - Martin Elišák
- Second Faculty of Medicine, Department of Neurology, Charles University and Motol University Hospital, Prague, Czech Republic
| | - Silvia Kmetonyová
- Second Faculty of Medicine, Department of Neurology, Charles University and Motol University Hospital, Prague, Czech Republic
| | - Jan Šanda
- Second Faculty of Medicine, Department of Radiology, Charles University and Motol University Hospital, Prague, Czech Republic
| | - Ondřej Sobek
- Topelex sro, Laboratory for CSF, Neuroimmunology, Pathology and Special Diagnostics, Prague, Czech Republic
| | - Petr Marusič
- Second Faculty of Medicine, Department of Neurology, Charles University and Motol University Hospital, Prague, Czech Republic
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11
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Prognostic value of intrathecal IgM synthesis determined by various laboratory methods in patients with early multiple sclerosis - a prospective observational study. Mult Scler Relat Disord 2022; 63:103847. [DOI: 10.1016/j.msard.2022.103847] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 04/27/2022] [Accepted: 05/01/2022] [Indexed: 02/06/2023]
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12
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Cerebrospinal Fluid IgM and Oligoclonal IgG Bands in Multiple Sclerosis: A Meta-Analysis of Prevalence and Prognosis. Brain Sci 2021; 11:brainsci11111444. [PMID: 34827444 PMCID: PMC8615995 DOI: 10.3390/brainsci11111444] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 10/25/2021] [Accepted: 10/28/2021] [Indexed: 11/17/2022] Open
Abstract
The presence of intrathecal IgM synthesis (ITMS) has been associated with an aggressive multiple sclerosis (MS) clinical course. In the present systematic review, we aimed at assessing the prevalence of ITMS among different MS phenotypes. Moreover, we aimed at quantifying the risk of a second relapse in ITMS positive and oligoclonal IgG bands (OCGBs)-positive patients. We selected clinical studies reporting the ITMS prevalence assessed as oligoclonal IgM Bands (OCMBs), lipid-specific OCMBs (LS-OCMBs), and/or as an intrathecal IgM production > 0% (IgMLoc, Reiber formula). The overall prevalence of ITMS was higher in relapsing-remitting (RR) than clinically isolated syndrome (CIS) patients (40.1% versus 23.8%, p < 0.00001), while was in line with that detected in primary progressive MS (PPMS, 26.7%). Almost all patients (98%) with ITMS had also OCGBs. The risk of having a second relapse was higher in OCGBs positive patients (HR = 2.18, p = 0.007) but much higher in ITMS positive patients (HR = 3.62, p = 0.0005). This study revealed that the prevalence of ITMS is higher in RRMS patients. It suggests that the risk of having a second relapse, previously ascribed to OCGBs, may, to a certain extent, be related to the presence of intrathecal IgM.
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Monreal E, Sainz de la Maza S, Costa-Frossard L, Walo-Delgado P, Zamora J, Fernández-Velasco JI, Villarrubia N, Espiño M, Lourido D, Lapuente P, Toboso I, Álvarez-Cermeño JC, Masjuan J, Villar LM. Predicting Aggressive Multiple Sclerosis With Intrathecal IgM Synthesis Among Patients With a Clinically Isolated Syndrome. NEUROLOGY-NEUROIMMUNOLOGY & NEUROINFLAMMATION 2021; 8:8/5/e1047. [PMID: 34301819 PMCID: PMC8299514 DOI: 10.1212/nxi.0000000000001047] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Accepted: 06/14/2021] [Indexed: 01/14/2023]
Abstract
Objective To determine the best method to measure intrathecal immunoglobulin (Ig) M synthesis (ITMS), a biomarker of worse prognosis in multiple sclerosis (MS). We compared the ability for predicting a poor evolution of 4 methods assessing ITMS (IgM oligoclonal bands [OCMBs], lipid-specific OCMBs [LS-OCMBs], Reibergram, and IgM index) in patients with a clinically isolated syndrome (CIS). Methods Prospective study with consecutive patients performed at a referral MS center. We used unadjusted and multivariate Cox regressions for predicting a second relapse, Expanded Disability Status Scale (EDSS) scores of 4 and 6, and development of secondary progressive MS (SPMS). Results A total of 193 patients were included, with a median (interquartile range) age of 31 (25–38) years and a median follow-up of 12.9 years. Among all methods, only OCMB, LS-OCMB, and Reibergram significantly identified patients at risk of some of the pre-established outcomes, being LS-OCMB the technique with the strongest associations. Adjusted hazard ratio (aHR) of LS-OCMB for predicting a second relapse was 2.50 (95% CI 1.72–3.64, p < 0.001). The risk of reaching EDSS scores of 4 and 6 and SPMS was significantly higher among patients with LS-OCMB (aHR 2.96, 95% CI 1.54–5.71, p = 0.001; aHR 4.96, 95% CI 2.22–11.07, p < 0.001; and aHR 2.31, 95% CI 1.08–4.93, p = 0.03, respectively). Conclusions ITMS predicts an aggressive MS at disease onset, especially when detected as LS-OCMB. Classification of Evidence This study provides Class II evidence that lipid-specific IgM oligoclonal bands can predict progression from CIS to MS and a worse disease course over a follow-up of at least 2 years.
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Affiliation(s)
- Enric Monreal
- From the Department of Neurology (E.M., S.S.d.l.M., L.C.-F., J.C.Á.-C., J.M.), and Department of Immunology (P.W.-D., J.I.F.-V., N.V., M.E., P.L., I.T., L.M.V.), Hospital Universitario Ramón y Cajal, REEM, IRYCIS; Clinical Biostatistics Unit (J.Z.), Hospital Universitario Ramón y Cajal, IRYCIS, CIBERESP, Madrid, Spain; Institute of Metabolism and System Research (J.Z.), University of Birmingham, United Kingdom; and Department of Radiology (D.L.), Hospital Universitario Ramón y Cajal, IRYCIS, Madrid, Spain.
| | - Susana Sainz de la Maza
- From the Department of Neurology (E.M., S.S.d.l.M., L.C.-F., J.C.Á.-C., J.M.), and Department of Immunology (P.W.-D., J.I.F.-V., N.V., M.E., P.L., I.T., L.M.V.), Hospital Universitario Ramón y Cajal, REEM, IRYCIS; Clinical Biostatistics Unit (J.Z.), Hospital Universitario Ramón y Cajal, IRYCIS, CIBERESP, Madrid, Spain; Institute of Metabolism and System Research (J.Z.), University of Birmingham, United Kingdom; and Department of Radiology (D.L.), Hospital Universitario Ramón y Cajal, IRYCIS, Madrid, Spain
| | - Lucienne Costa-Frossard
- From the Department of Neurology (E.M., S.S.d.l.M., L.C.-F., J.C.Á.-C., J.M.), and Department of Immunology (P.W.-D., J.I.F.-V., N.V., M.E., P.L., I.T., L.M.V.), Hospital Universitario Ramón y Cajal, REEM, IRYCIS; Clinical Biostatistics Unit (J.Z.), Hospital Universitario Ramón y Cajal, IRYCIS, CIBERESP, Madrid, Spain; Institute of Metabolism and System Research (J.Z.), University of Birmingham, United Kingdom; and Department of Radiology (D.L.), Hospital Universitario Ramón y Cajal, IRYCIS, Madrid, Spain
| | - Paulette Walo-Delgado
- From the Department of Neurology (E.M., S.S.d.l.M., L.C.-F., J.C.Á.-C., J.M.), and Department of Immunology (P.W.-D., J.I.F.-V., N.V., M.E., P.L., I.T., L.M.V.), Hospital Universitario Ramón y Cajal, REEM, IRYCIS; Clinical Biostatistics Unit (J.Z.), Hospital Universitario Ramón y Cajal, IRYCIS, CIBERESP, Madrid, Spain; Institute of Metabolism and System Research (J.Z.), University of Birmingham, United Kingdom; and Department of Radiology (D.L.), Hospital Universitario Ramón y Cajal, IRYCIS, Madrid, Spain
| | - Javier Zamora
- From the Department of Neurology (E.M., S.S.d.l.M., L.C.-F., J.C.Á.-C., J.M.), and Department of Immunology (P.W.-D., J.I.F.-V., N.V., M.E., P.L., I.T., L.M.V.), Hospital Universitario Ramón y Cajal, REEM, IRYCIS; Clinical Biostatistics Unit (J.Z.), Hospital Universitario Ramón y Cajal, IRYCIS, CIBERESP, Madrid, Spain; Institute of Metabolism and System Research (J.Z.), University of Birmingham, United Kingdom; and Department of Radiology (D.L.), Hospital Universitario Ramón y Cajal, IRYCIS, Madrid, Spain
| | - José Ignacio Fernández-Velasco
- From the Department of Neurology (E.M., S.S.d.l.M., L.C.-F., J.C.Á.-C., J.M.), and Department of Immunology (P.W.-D., J.I.F.-V., N.V., M.E., P.L., I.T., L.M.V.), Hospital Universitario Ramón y Cajal, REEM, IRYCIS; Clinical Biostatistics Unit (J.Z.), Hospital Universitario Ramón y Cajal, IRYCIS, CIBERESP, Madrid, Spain; Institute of Metabolism and System Research (J.Z.), University of Birmingham, United Kingdom; and Department of Radiology (D.L.), Hospital Universitario Ramón y Cajal, IRYCIS, Madrid, Spain
| | - Noelia Villarrubia
- From the Department of Neurology (E.M., S.S.d.l.M., L.C.-F., J.C.Á.-C., J.M.), and Department of Immunology (P.W.-D., J.I.F.-V., N.V., M.E., P.L., I.T., L.M.V.), Hospital Universitario Ramón y Cajal, REEM, IRYCIS; Clinical Biostatistics Unit (J.Z.), Hospital Universitario Ramón y Cajal, IRYCIS, CIBERESP, Madrid, Spain; Institute of Metabolism and System Research (J.Z.), University of Birmingham, United Kingdom; and Department of Radiology (D.L.), Hospital Universitario Ramón y Cajal, IRYCIS, Madrid, Spain
| | - Mercedes Espiño
- From the Department of Neurology (E.M., S.S.d.l.M., L.C.-F., J.C.Á.-C., J.M.), and Department of Immunology (P.W.-D., J.I.F.-V., N.V., M.E., P.L., I.T., L.M.V.), Hospital Universitario Ramón y Cajal, REEM, IRYCIS; Clinical Biostatistics Unit (J.Z.), Hospital Universitario Ramón y Cajal, IRYCIS, CIBERESP, Madrid, Spain; Institute of Metabolism and System Research (J.Z.), University of Birmingham, United Kingdom; and Department of Radiology (D.L.), Hospital Universitario Ramón y Cajal, IRYCIS, Madrid, Spain
| | - Daniel Lourido
- From the Department of Neurology (E.M., S.S.d.l.M., L.C.-F., J.C.Á.-C., J.M.), and Department of Immunology (P.W.-D., J.I.F.-V., N.V., M.E., P.L., I.T., L.M.V.), Hospital Universitario Ramón y Cajal, REEM, IRYCIS; Clinical Biostatistics Unit (J.Z.), Hospital Universitario Ramón y Cajal, IRYCIS, CIBERESP, Madrid, Spain; Institute of Metabolism and System Research (J.Z.), University of Birmingham, United Kingdom; and Department of Radiology (D.L.), Hospital Universitario Ramón y Cajal, IRYCIS, Madrid, Spain
| | - Paloma Lapuente
- From the Department of Neurology (E.M., S.S.d.l.M., L.C.-F., J.C.Á.-C., J.M.), and Department of Immunology (P.W.-D., J.I.F.-V., N.V., M.E., P.L., I.T., L.M.V.), Hospital Universitario Ramón y Cajal, REEM, IRYCIS; Clinical Biostatistics Unit (J.Z.), Hospital Universitario Ramón y Cajal, IRYCIS, CIBERESP, Madrid, Spain; Institute of Metabolism and System Research (J.Z.), University of Birmingham, United Kingdom; and Department of Radiology (D.L.), Hospital Universitario Ramón y Cajal, IRYCIS, Madrid, Spain
| | - Inmaculada Toboso
- From the Department of Neurology (E.M., S.S.d.l.M., L.C.-F., J.C.Á.-C., J.M.), and Department of Immunology (P.W.-D., J.I.F.-V., N.V., M.E., P.L., I.T., L.M.V.), Hospital Universitario Ramón y Cajal, REEM, IRYCIS; Clinical Biostatistics Unit (J.Z.), Hospital Universitario Ramón y Cajal, IRYCIS, CIBERESP, Madrid, Spain; Institute of Metabolism and System Research (J.Z.), University of Birmingham, United Kingdom; and Department of Radiology (D.L.), Hospital Universitario Ramón y Cajal, IRYCIS, Madrid, Spain
| | - José Carlos Álvarez-Cermeño
- From the Department of Neurology (E.M., S.S.d.l.M., L.C.-F., J.C.Á.-C., J.M.), and Department of Immunology (P.W.-D., J.I.F.-V., N.V., M.E., P.L., I.T., L.M.V.), Hospital Universitario Ramón y Cajal, REEM, IRYCIS; Clinical Biostatistics Unit (J.Z.), Hospital Universitario Ramón y Cajal, IRYCIS, CIBERESP, Madrid, Spain; Institute of Metabolism and System Research (J.Z.), University of Birmingham, United Kingdom; and Department of Radiology (D.L.), Hospital Universitario Ramón y Cajal, IRYCIS, Madrid, Spain
| | - Jaime Masjuan
- From the Department of Neurology (E.M., S.S.d.l.M., L.C.-F., J.C.Á.-C., J.M.), and Department of Immunology (P.W.-D., J.I.F.-V., N.V., M.E., P.L., I.T., L.M.V.), Hospital Universitario Ramón y Cajal, REEM, IRYCIS; Clinical Biostatistics Unit (J.Z.), Hospital Universitario Ramón y Cajal, IRYCIS, CIBERESP, Madrid, Spain; Institute of Metabolism and System Research (J.Z.), University of Birmingham, United Kingdom; and Department of Radiology (D.L.), Hospital Universitario Ramón y Cajal, IRYCIS, Madrid, Spain
| | - Luisa María Villar
- From the Department of Neurology (E.M., S.S.d.l.M., L.C.-F., J.C.Á.-C., J.M.), and Department of Immunology (P.W.-D., J.I.F.-V., N.V., M.E., P.L., I.T., L.M.V.), Hospital Universitario Ramón y Cajal, REEM, IRYCIS; Clinical Biostatistics Unit (J.Z.), Hospital Universitario Ramón y Cajal, IRYCIS, CIBERESP, Madrid, Spain; Institute of Metabolism and System Research (J.Z.), University of Birmingham, United Kingdom; and Department of Radiology (D.L.), Hospital Universitario Ramón y Cajal, IRYCIS, Madrid, Spain
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14
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Capuano R, Zubizarreta I, Alba-Arbalat S, Sepulveda M, Sola-Valls N, Pulido-Valdeolivas I, Andorra M, Martinez-Heras E, Solana E, Lopez-Soley E, Montejo C, Blanco Y, Fernández-Velasco JI, Gallo A, Bisecco A, Villoslada P, Saiz A, Llufriu S, Villar LM, Martinez-Lapiscina EH. Oligoclonal IgM bands in the cerebrospinal fluid of patients with relapsing MS to inform long-term MS disability. Mult Scler 2021; 27:1706-1716. [PMID: 33433258 DOI: 10.1177/1352458520981910] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Prognostic markers are needed to guide multiple sclerosis (MS) management in the context of large availability of disease-modifying drugs (DMDs). OBJECTIVE To investigate the role of cerebrospinal fluid (CSF) markers to inform long-term MS outcomes. METHODS Demographic features, IgM index, oligoclonal IgM bands (OCMB), lipid-specific OCMB, CSF neurofilament light chain protein levels, expanded disability status scale (EDSS), relapses and DMD use over the study period and peripapillary retinal nerve fiber layer (pRNFL) and ganglion cell plus inner plexiform layer (GCIPL) thicknesses in non-optic neuritis eyes (end of follow-up) were collected from relapsing MS (RMS) patients with CSF obtained ⩽2 years after MS onset prospectively followed at the Hospital Clinic of Barcelona. We assessed associations between CSF markers and MS outcomes using multivariable models. RESULTS A total of 89 patients (71 females; median 32.9 years of age) followed over a median of 9.6 years were included. OCMB were associated with a 33% increase in the annualized relapse rate (ARR; p = 0.06), higher odds for high-efficacy DMDs use (OR = 4.8; 95% CI = (1.5, 16.1)), thinner pRNFL (β = -4.4; 95% CI = (-8.6, -0.2)) and GCIPL (β = -2.9; 95% CI = (-5.9, +0.05)), and higher rates to EDSS ⩾ 3.0 (HR = 4.4; 95% CI = (1.6, 11.8)) and EDSS ⩾ 4.0 (HR = 5.4; 95% CI = (1.1, 27.1)). No overall associations were found for other CSF markers. CONCLUSION The presence of OCMB was associated with unfavorable long-term outcomes. OCMB should be determined in RMS to inform long-term prognosis.
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Affiliation(s)
- Rocco Capuano
- Center of Neuroimmunology and Department of Neurology, Advanced Imaging in Neuroimmunological Diseases group (ImaginEM), Service of Neurology, Hospital Clinic of Barcelona, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain; Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, Naples, Italy
| | - Irati Zubizarreta
- Center of Neuroimmunology and Department of Neurology, Advanced Imaging in Neuroimmunological Diseases group (ImaginEM), Service of Neurology, Hospital Clinic of Barcelona, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain; Department of Neurology, Hospital de Sant Joan Despí Moisès Broggi, Barcelona, Spain
| | - Salut Alba-Arbalat
- Center of Neuroimmunology and Department of Neurology, Advanced Imaging in Neuroimmunological Diseases group (ImaginEM), Service of Neurology, Hospital Clinic of Barcelona, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - María Sepulveda
- Center of Neuroimmunology and Department of Neurology, Advanced Imaging in Neuroimmunological Diseases group (ImaginEM), Service of Neurology, Hospital Clinic of Barcelona, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Nuria Sola-Valls
- Center of Neuroimmunology and Department of Neurology, Advanced Imaging in Neuroimmunological Diseases group (ImaginEM), Service of Neurology, Hospital Clinic of Barcelona, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Irene Pulido-Valdeolivas
- Center of Neuroimmunology and Department of Neurology, Advanced Imaging in Neuroimmunological Diseases group (ImaginEM), Service of Neurology, Hospital Clinic of Barcelona, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Magi Andorra
- Center of Neuroimmunology and Department of Neurology, Advanced Imaging in Neuroimmunological Diseases group (ImaginEM), Service of Neurology, Hospital Clinic of Barcelona, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Eloy Martinez-Heras
- Center of Neuroimmunology and Department of Neurology, Advanced Imaging in Neuroimmunological Diseases group (ImaginEM), Service of Neurology, Hospital Clinic of Barcelona, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Elisabeth Solana
- Center of Neuroimmunology and Department of Neurology, Advanced Imaging in Neuroimmunological Diseases group (ImaginEM), Service of Neurology, Hospital Clinic of Barcelona, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Elisabet Lopez-Soley
- Center of Neuroimmunology and Department of Neurology, Advanced Imaging in Neuroimmunological Diseases group (ImaginEM), Service of Neurology, Hospital Clinic of Barcelona, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Carmen Montejo
- Center of Neuroimmunology and Department of Neurology, Advanced Imaging in Neuroimmunological Diseases group (ImaginEM), Service of Neurology, Hospital Clinic of Barcelona, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Yolanda Blanco
- Center of Neuroimmunology and Department of Neurology, Advanced Imaging in Neuroimmunological Diseases group (ImaginEM), Service of Neurology, Hospital Clinic of Barcelona, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | | | - Antonio Gallo
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, Naples, Italy
| | - Alvino Bisecco
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, Naples, Italy
| | - Pablo Villoslada
- Center of Neuroimmunology and Department of Neurology, Advanced Imaging in Neuroimmunological Diseases group (ImaginEM), Service of Neurology, Hospital Clinic of Barcelona, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain; Stanford University, Stanford, CA, USA
| | - Albert Saiz
- Center of Neuroimmunology and Department of Neurology, Advanced Imaging in Neuroimmunological Diseases group (ImaginEM), Service of Neurology, Hospital Clinic of Barcelona, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Sara Llufriu
- Center of Neuroimmunology and Department of Neurology, Advanced Imaging in Neuroimmunological Diseases group (ImaginEM), Service of Neurology, Hospital Clinic of Barcelona, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Luisa M Villar
- Immunology and Neurology Service, Multiple Sclerosis Unit, Hospital Universitario Ramón Y Cajal, Madrid, Spain
| | - Elena H Martinez-Lapiscina
- Center of Neuroimmunology and Department of Neurology, Advanced Imaging in Neuroimmunological Diseases group (ImaginEM), Service of Neurology, Hospital Clinic of Barcelona, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
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15
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Magliozzi R, Mazziotti V, Montibeller L, Pisani AI, Marastoni D, Tamanti A, Rossi S, Crescenzo F, Calabrese M. Cerebrospinal Fluid IgM Levels in Association With Inflammatory Pathways in Multiple Sclerosis Patients. Front Cell Neurosci 2020; 14:569827. [PMID: 33192314 PMCID: PMC7596330 DOI: 10.3389/fncel.2020.569827] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Accepted: 09/22/2020] [Indexed: 11/23/2022] Open
Abstract
Background Intrathecal immunoglobulin M (IgM) synthesis has been demonstrated in the early disease stages of multiple sclerosis (MS) as a predictor factor of a worsening disease course. Similarly, increased cerebrospinal fluid (CSF) molecules related to B-cell intrathecal activity have been associated with a more severe MS progression. However, whether CSF levels of IgM are linked to specific inflammatory and clinical profile in MS patients at the time of diagnosis remains to be elucidated. Methods Using customized Bio-Plex assay, the protein levels of IgG, IgA, IgM, and of 34 other inflammatory molecules, related to B-cell, T-cell, and monocyte/macrophage activity, were analyzed in the CSF of 103 newly diagnosed relapsing–remitting MS patients and 36 patients with other neurological disorders. CSF IgM levels were also correlated with clinical and neuroradiological measures [advanced 3-T magnetic resonance imaging (MRI) parameters], at diagnosis and after 2 years of follow-up. Results A 45.6% increase in CSF IgM levels was found in MS patients compared to controls (p = 0.013). CSF IgM levels correlated with higher CSF levels of CXCL13 (p = 0.039), CCL21 (p = 0.023), interleukin 10 (IL-10) (p = 0.025), IL-12p70 (p = 0.020), CX3CL1 (p = 0.036), and CHI3L1 (p = 0.048) and were associated with earlier age of patients at diagnosis (p = 0.008), white matter lesion (WML) number (p = 0.039) and disease activity (p = 0.033) after 2 years of follow-up. Conclusion IgMs are the immunoglobulins mostly expressed in the CSF of naive MS patients compared to other neurological conditions at the time of diagnosis. The association between increased CSF IgM levels and molecules related to both B-cell immunity (IL-10) and recruitment (CXCL13 and CCL21) and to macrophage/microglia activity (IL-12p70, CX3CL1, and CHI3L1) suggests possible correlation between humoral and innate intrathecal immunity in early disease stage. Furthermore, the association of IgM levels with WMLs and MS clinical and MRI activity after 2 years supports the idea of key role of IgM in the disease course.
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Affiliation(s)
- Roberta Magliozzi
- Neurology Section of Department of Neurological and Movement Sciences, University of Verona, Verona, Italy.,Division of Brain Sciences, Department of Medicine, Imperial College London, London, United Kingdom
| | - Valentina Mazziotti
- Neurology Section of Department of Neurological and Movement Sciences, University of Verona, Verona, Italy
| | - Luigi Montibeller
- Neurology Section of Department of Neurological and Movement Sciences, University of Verona, Verona, Italy
| | - Anna I Pisani
- Neurology Section of Department of Neurological and Movement Sciences, University of Verona, Verona, Italy
| | - Damiano Marastoni
- Neurology Section of Department of Neurological and Movement Sciences, University of Verona, Verona, Italy
| | - Agnese Tamanti
- Neurology Section of Department of Neurological and Movement Sciences, University of Verona, Verona, Italy
| | - Stefania Rossi
- Department of Oncology and Molecular Medicine, National Institute of Health, Rome, Italy
| | - Francesco Crescenzo
- Neurology Section of Department of Neurological and Movement Sciences, University of Verona, Verona, Italy
| | - Massimiliano Calabrese
- Neurology Section of Department of Neurological and Movement Sciences, University of Verona, Verona, Italy
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Zeman D, Kušnierová P, Všianský F, Reguliová K, Škutová M, Woznicová I, Zapletalová O, Hradílek P. Cerebrospinal fluid oligoclonal IgM test in routine practice: Comparison with quantitative assessment of intrathecal IgM synthesis. Clin Chim Acta 2020; 508:137-145. [PMID: 32416174 DOI: 10.1016/j.cca.2020.05.021] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Revised: 05/11/2020] [Accepted: 05/11/2020] [Indexed: 11/15/2022]
Abstract
BACKGROUND Intrathecal IgM synthesis demonstrated either as cerebrospinal fluid (CSF)-restricted oligoclonal (o-) IgM bands or calculated using various formulas has been linked to more aggressive multiple sclerosis (MS) course. However, the proportion of MS patients showing intrathecal IgM synthesis varies largely between studies. We aimed to explore the relation between different formulas and results of o-IgM, and to assess the frequency of o-IgM bands in an unselected series of samples. METHODS 432 samples were analyzed for o-IgM, o-IgG and quantitative measures of IgM and IgG synthesis. IgM index and formulas of Reiber, Auer and Öhman were compared to the result of the o-IgM test. RESULTS At the cut-off commonly used, the non-linear formulas for intrathecal synthesis were specific (>94%) but rather insensitive (<40% even at a cut-off of 4 CSF-restricted bands) compared to o-IgM. No significant difference was noted in the performance of different formulas. At a cut-off of 4 bands, 61% of MS patients, but none of the controls were positive for o-IgM. CONCLUSIONS Formulas for intrathecal IgM synthesis are insensitive compared to o-IgM. We propose to evaluate samples with 2 or 3 extra-CSF IgM bands as borderline and only samples with 4 or more as definitely positive.
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Affiliation(s)
- David Zeman
- Institute of Laboratory Diagnostics, University Hospital Ostrava, 17. listopadu 1790, 708 52 Ostrava, Czech Republic; Clinic of Neurology, University Hospital Ostrava, 17. listopadu 1790, 708 52 Ostrava, Czech Republic; Dept. of Biomedical Sciences, Faculty of Medicine, University of Ostrava, Syllabova 19, 703 00 Ostrava, Czech Republic.
| | - Pavlína Kušnierová
- Institute of Laboratory Diagnostics, University Hospital Ostrava, 17. listopadu 1790, 708 52 Ostrava, Czech Republic; Dept. of Biomedical Sciences, Faculty of Medicine, University of Ostrava, Syllabova 19, 703 00 Ostrava, Czech Republic
| | - František Všianský
- Institute of Laboratory Diagnostics, University Hospital Ostrava, 17. listopadu 1790, 708 52 Ostrava, Czech Republic
| | - Katarína Reguliová
- Clinic of Neurology, University Hospital Ostrava, 17. listopadu 1790, 708 52 Ostrava, Czech Republic
| | - Monika Škutová
- Clinic of Neurology, University Hospital Ostrava, 17. listopadu 1790, 708 52 Ostrava, Czech Republic
| | - Ivana Woznicová
- Clinic of Neurology, University Hospital Ostrava, 17. listopadu 1790, 708 52 Ostrava, Czech Republic
| | - Olga Zapletalová
- Clinic of Neurology, University Hospital Ostrava, 17. listopadu 1790, 708 52 Ostrava, Czech Republic; Dept. of Neurology and Psychiatry, Faculty of Medicine, University of Ostrava, Syllabova 19, 703 00 Ostrava, Czech Republic
| | - Pavel Hradílek
- Clinic of Neurology, University Hospital Ostrava, 17. listopadu 1790, 708 52 Ostrava, Czech Republic
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Varoglu AO, Balkuv E. Right-Sided clinical findings are worse prognostic factor in Multiple Sclerosis patients? NEUROSCIENCES (RIYADH, SAUDI ARABIA) 2020; 25:97-103. [PMID: 32351246 PMCID: PMC8015528 DOI: 10.17712/nsj.2020.2.20190111] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
OBJECTIVE To investigate the importance of the side of clinical findings in predicting the prognosis in multiple sclerosis (MS) patients. METHODS In our study we enrolled 361 MS patients. This study as retrospective was performed. On neurological examinations, clinical findings were recorded as right, left and bilateral. We used the Expanded Disability Status Scale (EDSS), Multiple Sclerosis Severity Score (MSSS), Progression Index (PI) for neurological status. RESULTS At the first attack, there were differences in the EDSS, PI and MSSS of right-sided findings between remission and attack periods (p=0.057, p=0.008, p=0.017 respectively). In the right-sided clinical findings, the value of PI and MSSS were higher than the others between in remission and attack periods (p=0.002, p=0.045 respectively). At last attack, we found statically differences in EDSS, MSSS values between remission and attack periods in only right-sided clinical findings (p=0.042, p=0.027 respectively). In the first presentation the PI value in bilateral clinical signs was lower (p=0.016). CONCLUSION Right-sided clinical findings were poor prognostic factors in all stages of MS, whereas bilateral findings were not poor prognostic factor in the early-stage MS.
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Affiliation(s)
- Asuman O Varoglu
- Department of Neurology, Medical Faculty, Istanbul Medeniyet University, Istanbul, Turkey. E-mail:
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18
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Mailand MT, Frederiksen JL. Intrathecal IgM as a Prognostic Marker in Multiple Sclerosis. Mol Diagn Ther 2020; 24:263-277. [PMID: 32162206 DOI: 10.1007/s40291-020-00455-w] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
One of the great challenges related to multiple sclerosis (MS) research is the identification of markers of prognosis and treatment response. In the last couple of decades, an association between intrathecally produced immunoglobulin M (IgM) and a more severe course of the disease has been suggested. Therefore, the objective of this literature review was to gather and review evidence from studies on intrathecally produced IgM as a prognostic marker of clinically isolated syndrome (CIS) converting to clinically definite MS (CDMS), the prognosis of MS and treatment response in patients with MS. This was accomplished through a systematic literature search of the PubMed database, which resulted in 719 hits that were then systematically assessed with well-defined inclusion and exclusion criteria. This process resulted in 29 relevant research articles. The combined evidence from the current literature suggests that intrathecal IgM is a negative prognostic marker that identifies patients with CIS who have a higher risk of converting to CDMS and patients with relapsing-remitting MS (RRMS) with a higher risk of a more aggressive disease course. However, a few studies, some with large studied populations, have reported conflicting results regarding MS prognosis. Further research is needed to establish a more accurate estimate of the effect of intrathecal IgM on the disease course of MS. Further research is also necessary to evaluate the potential prognostic value of intrathecal IgM in treatment response.
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Grgić S, Dominović-Kovačević A, Đajić V, Vukojević Z, Tadić D, Račić D, Vujković Z. Prognostic significance of intrathecal oligoclonal immunoglobulin G in multiple sclerosis. SCRIPTA MEDICA 2020. [DOI: 10.5937/scriptamed51-27558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022] Open
Abstract
Introduction/Aim: Detection of intrathecal oligoclonal bands of immunoglobulin G (OB IgG), in addition to diagnostic, has a predictive significance in multiple sclerosis (MS). The aim of the study was to determine the prognostic significance of OB IgG and to correlate the presence of OB IgG with the progression of disability in MS patients. Methods: A retrospective-prospective cohort study included 177 MS patients examined at the Centre for MS, Clinic of Neurology, University Clinical Centre of the Republic of Srpska. In all patients, demographic data, clinical parameters, Expanded Disability Status Scale (EDSS) score, isoelectric focusing (IEF) of cerebrospinal fluid (CSF), cyto-biochemical analysis of CSF, evoked potentials (EP) and magnetic resonance (MR) of the head were analysed. MS patients were divided in two groups: with and without intrathecal synthesis of oligoclonal IgG. According to the EDSS determined in both groups, the relation between the degree of functional disability and the presence of OB in the CSF and also with characteristics of the cyto-biochemical profile were analysed. Methods of descriptive and analytical statistics, analysis of variance, chi-square test, Bonferroni's post hoc test, correlation and regression analysis were used in the analysis of the results. Results: In the examined cohort of MS patients, the sensitivity of IEF was 96.6 %. There was a statistically significant association between the detectability of intrathecally synthesised IgG and EDSS score (p = 0.004) so that individuals who do not have intrathecally synthesised IgG had lower EDSS scores. MS patients with a CSF protein concentration > 0.40 g/L were 2.45 times more likely to enter secondary progression and 2.51 times more likely to achieve EDSS 4.0. Conclusion: IEF is a very sensitive diagnostic and prognostic method for MS patients, which indicates a more benign course of MS in patients without oligoclonal bands in the CSF.
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Ziemssen T, Akgün K, Brück W. Molecular biomarkers in multiple sclerosis. J Neuroinflammation 2019; 16:272. [PMID: 31870389 PMCID: PMC6929340 DOI: 10.1186/s12974-019-1674-2] [Citation(s) in RCA: 154] [Impact Index Per Article: 25.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Accepted: 12/16/2019] [Indexed: 11/30/2022] Open
Abstract
Multiple sclerosis (MS) is an inflammatory-neurodegenerative disease of the central nervous system presenting with significant inter- and intraindividual heterogeneity. However, the application of clinical and imaging biomarkers is currently not able to allow individual characterization and prediction. Complementary, molecular biomarkers which are easily quantifiable come from the areas of immunology and neurobiology due to the causal pathomechanisms and can excellently complement other disease characteristics. Only a few molecular biomarkers have so far been routinely used in clinical practice as their validation and transfer take a long time. This review describes the characteristics that an ideal MS biomarker should have and the challenges of establishing new biomarkers. In addition, clinically relevant and promising biomarkers from the blood and cerebrospinal fluid are presented which are useful for MS diagnosis and prognosis as well as for the assessment of therapy response and side effects.
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Affiliation(s)
- Tjalf Ziemssen
- MS center, Center of Clinical Neuroscience, University Clinic Carl-Gustav Carus, Dresden University of Technology, Dresden, Germany.
| | - Katja Akgün
- MS center, Center of Clinical Neuroscience, University Clinic Carl-Gustav Carus, Dresden University of Technology, Dresden, Germany
| | - Wolfgang Brück
- Institute of Neuropathology, University Medical Center, Göttingen, Germany
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21
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[MOG encephalomyelitis: international recommendations on diagnosis and antibody testing]. DER NERVENARZT 2019; 89:1388-1399. [PMID: 30264269 DOI: 10.1007/s00115-018-0607-0] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Over the past few years, new-generation cell-based assays have demonstrated a robust association of autoantibodies to full-length human myelin oligodendrocyte glycoprotein (MOG-IgG) with (mostly recurrent) optic neuritis, myelitis and brainstem encephalitis, as well as with acute disseminated encephalomyelitis (ADEM)-like presentations. Most experts now consider MOG-IgG-associated encephalomyelitis (MOG-EM) a disease entity in its own right, immunopathogenetically distinct from both classic multiple sclerosis (MS) and aquaporin-4 (AQP4)-IgG-positive neuromyelitis optica spectrum disorders (NMOSD). Owing to a substantial overlap in clinicoradiological presentation, MOG-EM was often unwittingly misdiagnosed as MS in the past. Accordingly, increasing numbers of patients with suspected or established MS are currently being tested for MOG-IgG. However, screening of large unselected cohorts for rare biomarkers can significantly reduce the positive predictive value of a test. To lessen the hazard of overdiagnosing MOG-EM, which may lead to inappropriate treatment, more selective criteria for MOG-IgG testing are urgently needed. In this paper, we propose indications for MOG-IgG testing based on expert consensus. In addition, we give a list of conditions atypical for MOG-EM ("red flags") that should prompt physicians to challenge a positive MOG-IgG test result. Finally, we provide recommendations regarding assay methodology, specimen sampling and data interpretation, and propose for the first time diagnostic criteria for MOG-EM.
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Kappa free light chains could predict early disease course in multiple sclerosis. Mult Scler Relat Disord 2019; 30:81-84. [DOI: 10.1016/j.msard.2019.02.001] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Revised: 01/29/2019] [Accepted: 02/03/2019] [Indexed: 12/31/2022]
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Jarius S, Paul F, Aktas O, Asgari N, Dale RC, de Seze J, Franciotta D, Fujihara K, Jacob A, Kim HJ, Kleiter I, Kümpfel T, Levy M, Palace J, Ruprecht K, Saiz A, Trebst C, Weinshenker BG, Wildemann B. MOG encephalomyelitis: international recommendations on diagnosis and antibody testing. J Neuroinflammation 2018; 15:134. [PMID: 29724224 PMCID: PMC5932838 DOI: 10.1186/s12974-018-1144-2] [Citation(s) in RCA: 539] [Impact Index Per Article: 77.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2018] [Accepted: 04/02/2018] [Indexed: 02/11/2023] Open
Abstract
Over the past few years, new-generation cell-based assays have demonstrated a robust association of autoantibodies to full-length human myelin oligodendrocyte glycoprotein (MOG-IgG) with (mostly recurrent) optic neuritis, myelitis and brainstem encephalitis, as well as with acute disseminated encephalomyelitis (ADEM)-like presentations. Most experts now consider MOG-IgG-associated encephalomyelitis (MOG-EM) a disease entity in its own right, immunopathogenetically distinct from both classic multiple sclerosis (MS) and aquaporin-4 (AQP4)-IgG-positive neuromyelitis optica spectrum disorders (NMOSD). Owing to a substantial overlap in clinicoradiological presentation, MOG-EM was often unwittingly misdiagnosed as MS in the past. Accordingly, increasing numbers of patients with suspected or established MS are currently being tested for MOG-IgG. However, screening of large unselected cohorts for rare biomarkers can significantly reduce the positive predictive value of a test. To lessen the hazard of overdiagnosing MOG-EM, which may lead to inappropriate treatment, more selective criteria for MOG-IgG testing are urgently needed. In this paper, we propose indications for MOG-IgG testing based on expert consensus. In addition, we give a list of conditions atypical for MOG-EM ("red flags") that should prompt physicians to challenge a positive MOG-IgG test result. Finally, we provide recommendations regarding assay methodology, specimen sampling and data interpretation.
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Affiliation(s)
- S Jarius
- Molecular Neuroimmunology Group, Department of Neurology, University Hospital Heidelberg, Im Neuenheimer Feld 350, 69120, Heidelberg, Germany.
| | - F Paul
- Department of Neurology and Clinical and Experimental Multiple Sclerosis Research Center, Charité - Universitätsmedizin Berlin, Berlin, Germany.,NeuroCure Clinical Research Center and Clinical and Experimental Multiple Sclerosis Research Center, Berlin, Germany
| | - O Aktas
- Department of Neurology, University of Düsseldorf, Düsseldorf, Germany
| | - N Asgari
- Department of Neurology, University of Southern Denmark, Odense, Denmark
| | - R C Dale
- Children's Hospital at Westmead, University of Sydney, Sydney, Australia
| | - J de Seze
- Department of Neurology, Hôpital de Hautepierre, Strasbourg Cedex, France
| | - D Franciotta
- IRCCS, National Neurological Institute C. Mondino, Pavia, Italy
| | - K Fujihara
- Department of Multiple Sclerosis Therapeutics, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - A Jacob
- The Walton Centre, Walton Centre NHS Foundation Trust, Liverpool, UK
| | - H J Kim
- Department of Neurology, Research Institute and Hospital of National Cancer Center, Goyang, South Korea
| | - I Kleiter
- Department of Neurology, Ruhr University Bochum, Bochum, Germany
| | - T Kümpfel
- Institute of Clinical Neuroimmunology, Ludwig Maximilian University, Munich, Germany
| | - M Levy
- Department of Neurology, Johns Hopkins Hospital, Cleveland, USA
| | - J Palace
- Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, Oxford, UK
| | - K Ruprecht
- Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - A Saiz
- Service of Neurology, Hospital Clinic, and Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
| | - C Trebst
- Department of Neurology, Hannover Medical School, Hanover, Germany
| | | | - B Wildemann
- Molecular Neuroimmunology Group, Department of Neurology, University Hospital Heidelberg, Im Neuenheimer Feld 350, 69120, Heidelberg, Germany.
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