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Maglio G, D’Agostino M, Caronte FP, Pezone L, Casamassimi A, Rienzo M, Di Zazzo E, Nappo C, Medici N, Molinari AM, Abbondanza C. Multiple Sclerosis: From the Application of Oligoclonal Bands to Novel Potential Biomarkers. Int J Mol Sci 2024; 25:5412. [PMID: 38791450 PMCID: PMC11121866 DOI: 10.3390/ijms25105412] [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: 04/10/2024] [Revised: 05/10/2024] [Accepted: 05/14/2024] [Indexed: 05/26/2024] Open
Abstract
Multiple sclerosis is a chronic immune-mediated disorder of the central nervous system with a high heterogeneity among patients. In the clinical setting, one of the main challenges is a proper and early diagnosis for the prediction of disease activity. Current diagnosis is based on the integration of clinical, imaging, and laboratory results, with the latter based on the presence of intrathecal IgG oligoclonal bands in the cerebrospinal fluid whose detection via isoelectric focusing followed by immunoblotting represents the gold standard. Intrathecal synthesis can also be evidenced by the measurement of kappa free light chains in the cerebrospinal fluid, which has reached similar diagnostic accuracy compared to that of oligoclonal bands in the identification of patients with multiple sclerosis; moreover, recent studies have also highlighted its value for early disease activity prediction. This strategy has significant advantages as compared to using oligoclonal band detection, even though some issues remain open. Here, we discuss the current methods applied for cerebrospinal fluid analysis to achieve the most accurate diagnosis and for follow-up and prognosis evaluation. In addition, we describe new promising biomarkers, currently under investigation, that could contribute both to a better diagnosis of multiple sclerosis and to its monitoring of the therapeutic treatment response.
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Affiliation(s)
- Grazia Maglio
- Unit of Clinical and Molecular Pathology, A.O.U. University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (G.M.); (M.D.); (F.P.C.); (L.P.); (C.N.); (N.M.); (A.M.M.)
| | - Marina D’Agostino
- Unit of Clinical and Molecular Pathology, A.O.U. University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (G.M.); (M.D.); (F.P.C.); (L.P.); (C.N.); (N.M.); (A.M.M.)
| | - Francesco Pio Caronte
- Unit of Clinical and Molecular Pathology, A.O.U. University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (G.M.); (M.D.); (F.P.C.); (L.P.); (C.N.); (N.M.); (A.M.M.)
| | - Luciano Pezone
- Unit of Clinical and Molecular Pathology, A.O.U. University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (G.M.); (M.D.); (F.P.C.); (L.P.); (C.N.); (N.M.); (A.M.M.)
| | - Amelia Casamassimi
- Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy
| | - Monica Rienzo
- Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, University of Campania “Luigi Vanvitelli”, 81100 Caserta, Italy;
| | - Erika Di Zazzo
- Department of Medicine and Health Sciences “V. Tiberio”, University of Molise, 86100 Campobasso, Italy;
| | - Carmela Nappo
- Unit of Clinical and Molecular Pathology, A.O.U. University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (G.M.); (M.D.); (F.P.C.); (L.P.); (C.N.); (N.M.); (A.M.M.)
| | - Nicola Medici
- Unit of Clinical and Molecular Pathology, A.O.U. University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (G.M.); (M.D.); (F.P.C.); (L.P.); (C.N.); (N.M.); (A.M.M.)
- Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy
| | - Anna Maria Molinari
- Unit of Clinical and Molecular Pathology, A.O.U. University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (G.M.); (M.D.); (F.P.C.); (L.P.); (C.N.); (N.M.); (A.M.M.)
- Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy
| | - Ciro Abbondanza
- Unit of Clinical and Molecular Pathology, A.O.U. University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (G.M.); (M.D.); (F.P.C.); (L.P.); (C.N.); (N.M.); (A.M.M.)
- Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy
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2
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Morello M, Mastrogiovanni S, Falcione F, Rossi V, Bernardini S, Casciani S, Viola A, Reali M, Pieri M. Laboratory Diagnosis of Intrathecal Synthesis of Immunoglobulins: A Review about the Contribution of OCBs and K-index. Int J Mol Sci 2024; 25:5170. [PMID: 38791208 PMCID: PMC11121313 DOI: 10.3390/ijms25105170] [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: 03/09/2024] [Revised: 04/23/2024] [Accepted: 05/03/2024] [Indexed: 05/26/2024] Open
Abstract
The diagnosis of MS relies on a combination of imaging, clinical examinations, and biological analyses, including blood and cerebrospinal fluid (CSF) assessments. G-Oligoclonal bands (OCBs) are considered a "gold standard" for MS diagnosis due to their high sensitivity and specificity. Recent advancements have involved the introduced of kappa free light chain (k-FLC) assay into cerebrospinal fluid (CSF) and serum (S), along with the albumin quotient, leading to the development of a novel biomarker known as the "K-index" or "k-FLC index". The use of the K-index has been recommended to decrease costs, increase laboratory efficiency, and to skip potential subjective operator-dependent risk that could happen during the identification of OCBs profiles. This review aims to provide a comprehensive overview and analysis of recent scientific articles, focusing on updated methods for MS diagnosis with an emphasis on the utility of the K-index. Numerous studies indicate that the K-index demonstrates high sensitivity and specificity, often comparable to or surpassing the diagnostic accuracy of OCBs evaluation. The integration of the measure of the K-index with OCBs assessment emerges as a more precise method for MS diagnosis. This combined approach not only enhances diagnostic accuracy, but also offers a more efficient and cost-effective alternative.
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Affiliation(s)
- Maria Morello
- Clinical Biochemistry Department of Laboratory Medicine, Division of Proteins, University Hospital (PTV), 00133 Rome, Italy; (S.M.); (F.F.); (V.R.); (S.B.); (S.C.); (A.V.); (M.R.); (M.P.)
- Clinical Pathology and Clinical Biochemistry, Graduate School, Faculty of Medicine, University of Tor Vergata, 00133 Rome, Italy
- Department of Experimental Medicine, Faculty of Medicine, University of Tor Vergata, 00133 Rome, Italy
| | - Simone Mastrogiovanni
- Clinical Biochemistry Department of Laboratory Medicine, Division of Proteins, University Hospital (PTV), 00133 Rome, Italy; (S.M.); (F.F.); (V.R.); (S.B.); (S.C.); (A.V.); (M.R.); (M.P.)
- Clinical Pathology and Clinical Biochemistry, Graduate School, Faculty of Medicine, University of Tor Vergata, 00133 Rome, Italy
| | - Fabio Falcione
- Clinical Biochemistry Department of Laboratory Medicine, Division of Proteins, University Hospital (PTV), 00133 Rome, Italy; (S.M.); (F.F.); (V.R.); (S.B.); (S.C.); (A.V.); (M.R.); (M.P.)
- Clinical Pathology and Clinical Biochemistry, Graduate School, Faculty of Medicine, University of Tor Vergata, 00133 Rome, Italy
| | - Vanessa Rossi
- Clinical Biochemistry Department of Laboratory Medicine, Division of Proteins, University Hospital (PTV), 00133 Rome, Italy; (S.M.); (F.F.); (V.R.); (S.B.); (S.C.); (A.V.); (M.R.); (M.P.)
- Clinical Pathology and Clinical Biochemistry, Graduate School, Faculty of Medicine, University of Tor Vergata, 00133 Rome, Italy
| | - Sergio Bernardini
- Clinical Biochemistry Department of Laboratory Medicine, Division of Proteins, University Hospital (PTV), 00133 Rome, Italy; (S.M.); (F.F.); (V.R.); (S.B.); (S.C.); (A.V.); (M.R.); (M.P.)
- Clinical Pathology and Clinical Biochemistry, Graduate School, Faculty of Medicine, University of Tor Vergata, 00133 Rome, Italy
- Department of Experimental Medicine, Faculty of Medicine, University of Tor Vergata, 00133 Rome, Italy
| | - Stefania Casciani
- Clinical Biochemistry Department of Laboratory Medicine, Division of Proteins, University Hospital (PTV), 00133 Rome, Italy; (S.M.); (F.F.); (V.R.); (S.B.); (S.C.); (A.V.); (M.R.); (M.P.)
| | - Antonietta Viola
- Clinical Biochemistry Department of Laboratory Medicine, Division of Proteins, University Hospital (PTV), 00133 Rome, Italy; (S.M.); (F.F.); (V.R.); (S.B.); (S.C.); (A.V.); (M.R.); (M.P.)
| | - Marilina Reali
- Clinical Biochemistry Department of Laboratory Medicine, Division of Proteins, University Hospital (PTV), 00133 Rome, Italy; (S.M.); (F.F.); (V.R.); (S.B.); (S.C.); (A.V.); (M.R.); (M.P.)
| | - Massimo Pieri
- Clinical Biochemistry Department of Laboratory Medicine, Division of Proteins, University Hospital (PTV), 00133 Rome, Italy; (S.M.); (F.F.); (V.R.); (S.B.); (S.C.); (A.V.); (M.R.); (M.P.)
- Clinical Pathology and Clinical Biochemistry, Graduate School, Faculty of Medicine, University of Tor Vergata, 00133 Rome, Italy
- Department of Experimental Medicine, Faculty of Medicine, University of Tor Vergata, 00133 Rome, Italy
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3
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Dekeyser C, De Kesel P, Cambron M, Vanopdenbosch L, Van Hijfte L, Vercammen M, Laureys G. Inter-assay diagnostic accuracy of cerebrospinal fluid kappa free light chains for the diagnosis of multiple sclerosis. Front Immunol 2024; 15:1385231. [PMID: 38745673 PMCID: PMC11091388 DOI: 10.3389/fimmu.2024.1385231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Accepted: 04/12/2024] [Indexed: 05/16/2024] Open
Abstract
Background Cerebrospinal fluid (CSF) kappa free light chain (κFLC) measures gained increasing interest as diagnostic markers in multiple sclerosis (MS). However, the lack of studies comparing assay-dependent diagnostic cutoff values hinders their use in clinical practice. Additionally, the optimal κFLC parameter for identifying MS remains a subject of ongoing debate. Objectives The aim of this study was to compare same-sample diagnostic accuracies of the κFLC index, κIgG index, CSF κFLC/IgG ratio, and isolated CSF κFLC (iCSF-κFLC) between two reference centers using different methods. Methods Paired serum and CSF samples were analyzed for κFLC and albumin concentrations by Freelite®-Optilite (Sint-Jan Bruges hospital) and N Latex®-BNII (Ghent University hospital). Diagnostic performance to differentiate MS from controls was assessed using ROC curve analysis. Results A total of 263 participants were included (MS, n = 80). Optimal diagnostic cutoff values for the κFLC index (Freelite®-Optilite: 7.7; N Latex®-BNII: 4.71), κIgG index (Freelite®-Optilite: 14.15, N Latex®-BNII: 12.19), and CSF κFLC/IgG ratio (Freelite®-Optilite: 2.27; N Latex®-BNII: 1.44) differed between the two methods. Sensitivities related to optimal cutoff values were 89.9% (Freelite®-Optilite) versus 94.6% (N Latex®-BNII) for the κFLC index, 91% (Freelite®-Optilite) versus 92.2% (N Latex®-BNII) for the κIgG index, and 81.3% (Freelite®-Optilite) versus 91.4% (N Latex®-BNII) for the CSF κFLC/IgG ratio. However, for iCSF-κFLC, optimal diagnostic cutoff values (0.36 mg/L) and related specificities (81.8%) were identical with a related diagnostic sensitivity of 89.9% for Freelite®-Optilite and 90.5% for N Latex®-BNII. The diagnostic performance of the κFLC index [area under the curve (AUC) Freelite®-Optilite: 0.924; N Latex®-BNII: 0.962] and κIgG index (AUC Freelite®-Optilite: 0.929; N Latex®-BNII: 0.961) was superior compared to CSF oligoclonal bands (AUC: 0.898, sensitivity: 83.8%, specificity: 95.9%). Conclusions The κFLC index and the κIgG index seem to be excellent markers for identifying MS, irrespective of the method used for κFLC quantification. Based on the AUC, they appear to be the measures of choice. For all measures, optimal cutoff values differed between methods except for iCSF-κFLC. iCSF-κFLC might therefore serve as a method-independent, more cost-efficient, initial screening measure for MS. These findings are particularly relevant for clinical practice given the potential future implementation of intrathecal κFLC synthesis in MS diagnostic criteria and for future multicentre studies pooling data on κFLC measures.
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Affiliation(s)
| | - Pieter De Kesel
- Department of Laboratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Melissa Cambron
- Department of Neurology, AZ Sint-Jan Brugge, Bruges, Belgium
- Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | | | | | - Martine Vercammen
- Department of Laboratory Medicine, Algemeen Ziekenhuis (AZ) Sint-Jan Brugge, Bruges, Belgium
- Basic Biomedical Sciences, Vrije Universiteit Brussel, Brussels, Belgium
| | - Guy Laureys
- Department of Neurology, Ghent University Hospital, Ghent, Belgium
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4
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Kaisey M, Solomon AJ. Multiple Sclerosis Diagnostic Delay and Misdiagnosis. Neurol Clin 2024; 42:1-13. [PMID: 37980109 DOI: 10.1016/j.ncl.2023.07.001] [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] [Indexed: 11/20/2023]
Abstract
Multiple sclerosis (MS) misdiagnosis in the form of an incorrect diagnosis of MS, as well as delayed diagnosis in patients who do have MS, both influence patient clinical outcomes. Contemporary studies have reported data on factors associated with these diagnostic challenges and their frequency. Expediting diagnosis in patients with MS and reducing MS misdiagnosis in patients who do not have MS may be aided by educational efforts surrounding early MS symptoms and proper application of MS diagnostic criteria. Emerging novel MS diagnostic biomarkers may aid early and accurate diagnosis of MS in the future.
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Affiliation(s)
- Marwa Kaisey
- Department of Neurology, Cedars-Sinai Medical Center, 127 South San Vicente Boulevard, A6600, Los Angeles, CA 90048, USA.
| | - Andrew J Solomon
- Department of Neurological Sciences, University of Vermont, Larner College of Medicine, University Health Center, Arnold 2, 1 South Prospect Street, Burlington, VT 05401, USA
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5
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Michetti L, Maffina F, Ravasio R, Barcella V, Radaelli M, Chiudinelli L, Sessa M, Alessio MG. Free light chains as a reliable biomarker of intrathecal synthesis in the diagnosis of CNS inflammatory diseases. J Neuroimmunol 2023; 379:578091. [PMID: 37210840 DOI: 10.1016/j.jneuroim.2023.578091] [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: 09/13/2022] [Revised: 02/20/2023] [Accepted: 04/20/2023] [Indexed: 05/23/2023]
Abstract
OBJECTIVE To address the diagnostic performances of cerebrospinal fluid (CSF) free light chains (FLC) measurements compared to oligoclonal bands (OCB) to support multiple sclerosis (MS) diagnosis. RESULTS kFLC index showed the highest diagnostic accuracy to detect MS patients with the highest AUC compared to OCB, IgG index, IF kFLC R, kFLC H, λFLC index and IF λFLC. CONCLUSIONS FLC indices are biomarkers of intrathecal Immunoglobulin synthesis and central nervous system (CNS) inflammation. kFLC index can discriminate between MS and other CNS inflammatory disorders, while λFLC index is less informative for MS but can play a role to support the diagnosis of other inflammatory CNS disorders.
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Affiliation(s)
- Laura Michetti
- Department of Laboratory Medicine, Papa Giovanni XXIII Hospital, Piazza OMS, 1, 24127 Bergamo, Italy.
| | - Francesca Maffina
- Department of Laboratory Medicine, Papa Giovanni XXIII Hospital, Piazza OMS, 1, 24127 Bergamo, Italy
| | - Rudi Ravasio
- Department of Laboratory Medicine, Papa Giovanni XXIII Hospital, Piazza OMS, 1, 24127 Bergamo, Italy
| | - Valeria Barcella
- Department of Neurology and Multiple Sclerosis Center, Papa Giovanni XXIII Hospital, Piazza OMS, 1, 24127 Bergamo, Italy
| | - Marta Radaelli
- Department of Neurology and Multiple Sclerosis Center, Papa Giovanni XXIII Hospital, Piazza OMS, 1, 24127 Bergamo, Italy
| | | | - Maria Sessa
- Department of Neurology and Multiple Sclerosis Center, Papa Giovanni XXIII Hospital, Piazza OMS, 1, 24127 Bergamo, Italy
| | - Maria Grazia Alessio
- Department of Laboratory Medicine, Papa Giovanni XXIII Hospital, Piazza OMS, 1, 24127 Bergamo, Italy
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6
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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: 0] [Impact Index Per Article: 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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7
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Hegen H, Walde J, Berek K, Arrambide G, Gnanapavan S, Kaplan B, Khalil M, Saadeh R, Teunissen C, Tumani H, Villar LM, Willrich MAV, Zetterberg H, Deisenhammer F. Cerebrospinal fluid kappa free light chains for the diagnosis of multiple sclerosis: A systematic review and meta-analysis. Mult Scler 2023; 29:169-181. [PMID: 36453167 PMCID: PMC9925892 DOI: 10.1177/13524585221134213] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022]
Abstract
BACKGROUND Intrathecal immunoglobulin-G synthesis is a hallmark of multiple sclerosis (MS), which can be detected by oligoclonal IgG bands (OCB) or by κ-free light chains (κ-FLC) in cerebrospinal fluid. OBJECTIVE To perform a systematic review and meta-analysis to evaluate whether κ-FLC index has similar diagnostic value to identify patients with clinically isolated syndrome (CIS) or MS compared to OCB, and to determine κ-FLC index cut-off. METHODS PubMed was searched for studies that assessed diagnostic sensitivity and specificity of κ-FLC index and OCB to discriminate CIS/MS patients from control subjects. Two reviewers following preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines performed study eligibility assessment and data extraction. Findings from studies were analyzed with bivariate mixed models. RESULTS A total of 32 studies were included in the meta-analysis to evaluate diagnostic value of κ-FLC index. Sensitivity and specificity ranged from 52% to 100% (weighted average: 88%) and 69% to 100% (89%) for κ-FLC index and from 37% to 100% (85%) and 74% to 100% (92%) for OCB. Mean difference of sensitivity and specificity between κ-FLC index and OCB was 2 and -4 percentage points. Diagnostic accuracy determined by mixed models revealed no significant difference between κ-FLC index and OCB. A discriminatory cut-off for κ-FLC index was determined at 6.1. CONCLUSION The findings indicate that κ-FLC index has similar diagnostic accuracy in MS as OCB.
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Affiliation(s)
- Harald Hegen
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Janette Walde
- Department of Statistics, Faculty of Economics and Statistics, University of Innsbruck, Innsbruck, Austria
| | - Klaus Berek
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Georgina Arrambide
- Centre d'Esclerosi Múltiple de Catalunya, Department of Neurology/Neuroimmunology, Hospital Universitari Vall d'Hebron, Universitat Autónoma de Barcelona, Barcelona, Spain
| | - Sharmilee Gnanapavan
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Batia Kaplan
- Laboratory of Hematology, Sheba Medical Center, Ramat Gan, Israel
| | - Michael Khalil
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Ruba Saadeh
- Department of Laboratory Medicine and Pathology and Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Charlotte Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit, Amsterdam UMC, Amsterdam, The Netherlands
| | - Hayrettin Tumani
- CSF Laboratory, Department of Neurology, University of Ulm, Ulm, Germany
| | - Luisa M Villar
- Immunology Department, Hospital Universitario Ramón y Cajal, Madrid, Spain
| | | | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden/Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden/Department of Neurodegenerative Disease, Queen Square Institute of Neurology, University College London, London, UK/UK Dementia Research Institute, University College London, London, UK/Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
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8
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Hegen H, Arrambide G, Gnanapavan S, Kaplan B, Khalil M, Saadeh R, Teunissen C, Tumani H, Villar LM, Willrich MAV, Zetterberg H, Deisenhammer F. Cerebrospinal fluid kappa free light chains for the diagnosis of multiple sclerosis: A consensus statement. Mult Scler 2023; 29:182-195. [PMID: 36527368 PMCID: PMC9925908 DOI: 10.1177/13524585221134217] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Cerebrospinal fluid (CSF) analysis is of utmost importance for diagnosis and differential diagnosis of patients with suspected multiple sclerosis (MS). Evidence of intrathecal immunoglobulin G (IgG) synthesis proves the inflammatory nature of the disease, increases diagnostic certainty and substitutes for dissemination in time according to current diagnostic criteria. The gold standard to determine intrathecal IgG synthesis is the detection of CSF-restricted oligoclonal bands (OCBs). However, advances in laboratory methods brought up κ-free light chains (FLCs) as a new biomarker, which are produced in excess over intact immunoglobulins and accumulate in CSF in the case of central nervous system-derived inflammation. Overwhelming evidence showed a high diagnostic accuracy of intrathecal κ-FLC synthesis in MS with sensitivity and specificity of approximately 90% similar to OCB. κ-FLCs have advantages as its detection is fast, easy, cost-effective, reliable, rater-independent and returning quantitative results which might also improve the value of predicting MS disease activity. An international panel of experts in MS and CSF diagnostics developed a consensus of all participants. Six recommendations are given for establishing standard CSF evaluation in patients suspected of having MS. The panel recommended to include intrathecal κ-FLC synthesis in the next revision of MS diagnostic criteria as an additional tool to measure intrathecal immunoglobulin synthesis.
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Affiliation(s)
- Harald Hegen
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Georgina Arrambide
- Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Vall d'Hebron Hospital Universitari, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Sharmilee Gnanapavan
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Batia Kaplan
- Laboratory of Hematology, Sheba Medical Center, Ramat Gan, Israel
| | - Michael Khalil
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Ruba Saadeh
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA/Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Charlotte Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Program Neuroinflammation, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Hayrettin Tumani
- CSF Laboratory, Department of Neurology, University of Ulm, Ulm, Germany
| | - Luisa Maria Villar
- Biostatistics Unit, Department of Immunology, Hospital Universitario Ramón y Cajal, Madrid, Spain
| | | | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden/Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden/Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK/UK Dementia Research Institute at UCL, London, UK/Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
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9
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Novel CSF Biomarkers Tracking Autoimmune Inflammatory and Neurodegenerative Aspects of CNS Diseases. Diagnostics (Basel) 2022; 13:diagnostics13010073. [PMID: 36611365 PMCID: PMC9818715 DOI: 10.3390/diagnostics13010073] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Revised: 12/13/2022] [Accepted: 12/20/2022] [Indexed: 12/29/2022] Open
Abstract
The accurate diagnosis of neuroinflammatory (NIDs) and neurodegenerative (NDDs) diseases and the stratification of patients into disease subgroups with distinct disease-related characteristics that reflect the underlying pathology represents an unmet clinical need that is of particular interest in the era of emerging disease-modifying therapies (DMT). Proper patient selection for clinical trials and identifying those in the prodromal stages of the diseases or those at high risk will pave the way for precision medicine approaches and halt neuroinflammation and/or neurodegeneration in early stages where this is possible. Towards this direction, novel cerebrospinal fluid (CSF) biomarker candidates were developed to reflect the diseased organ's pathology better. Μisfolded protein accumulation, microglial activation, synaptic dysfunction, and finally, neuronal death are some of the pathophysiological aspects captured by these biomarkers to support proper diagnosis and screening. We also describe advances in the field of molecular biomarkers, including miRNAs and extracellular nucleic acids known as cell-free DNA and mitochondrial DNA molecules. Here we review the most important of these novel CSF biomarkers of NIDs and NDDs, focusing on their involvement in disease development and emphasizing their ability to define homogeneous disease phenotypes and track potential treatment outcomes that can be mirrored in the CSF compartment.
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10
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Arneth B, Kraus J. The Use of Kappa Free Light Chains to Diagnose Multiple Sclerosis. Medicina (B Aires) 2022; 58:medicina58111512. [PMID: 36363469 PMCID: PMC9698214 DOI: 10.3390/medicina58111512] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 10/10/2022] [Accepted: 10/20/2022] [Indexed: 11/06/2022] Open
Abstract
Background: The positive implications of using free light chains in diagnosing multiple sclerosis have increasingly gained considerable interest in medical research and the scientific community. It is often presumed that free light chains, particularly kappa and lambda free light chains, are of practical use and are associated with a higher probability of obtaining positive results compared to oligoclonal bands. The primary purpose of the current paper was to conduct a systematic review to assess the up-to-date methods for diagnosing multiple sclerosis using kappa and lambda free light chains. Method: An organized literature search was performed across four electronic sources, including Google Scholar, Web of Science, Embase, and MEDLINE. The sources analyzed in this systematic review and meta-analysis comprise randomized clinical trials, prospective cohort studies, retrospective studies, controlled clinical trials, and systematic reviews. Results: The review contains 116 reports that includes 1204 participants. The final selection includes a vast array of preexisting literature concerning the study topic: 35 randomized clinical trials, 21 prospective cohort studies, 19 retrospective studies, 22 controlled clinical trials, and 13 systematic reviews. Discussion: The incorporated literature sources provided integral insights into the benefits of free light chain diagnostics for multiple sclerosis. It was also evident that the use of free light chains in the diagnosis of clinically isolated syndrome (CIS) and multiple sclerosis is relatively fast and inexpensive in comparison to other conventional state-of-the-art diagnostic methods, e.g., using oligoclonal bands (OCBs).
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Affiliation(s)
- Borros Arneth
- Institute of Laboratory Medicine and Pathobiochemistry, Molecular Diagnostics, Justus Liebig University, Feulgenstr. 12, 35392 Giessen, Germany
- Correspondence:
| | - Jörg Kraus
- Department of Laboratory Medicine, Paracelsus Medical University and Salzburger Landeskliniken, Strubergasse 21, 5020 Salzburg, Austria
- Department of Neurology, Medical Faculty, Heinrich-Heine-University Düsseldorf, Bergische Landstraße 2, 40629 Düsseldorf, Germany
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11
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Kaisey M, Lashgari G, Fert-Bober J, Ontaneda D, Solomon AJ, Sicotte NL. An Update on Diagnostic Laboratory Biomarkers for Multiple Sclerosis. Curr Neurol Neurosci Rep 2022; 22:675-688. [PMID: 36269540 DOI: 10.1007/s11910-022-01227-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/12/2022] [Indexed: 01/27/2023]
Abstract
PURPOSE For many patients, the multiple sclerosis (MS) diagnostic process can be lengthy, costly, and fraught with error. Recent research aims to address the unmet need for an accurate and simple diagnostic process through discovery of novel diagnostic biomarkers. This review summarizes recent studies on MS diagnostic fluid biomarkers, with a focus on blood biomarkers, and includes discussion of technical limitations and practical applicability. RECENT FINDINGS This line of research is in its early days. Accurate and easily obtainable biomarkers for MS have not yet been identified and validated, but several approaches to uncover them are underway. Continue efforts to define laboratory diagnostic biomarkers are likely to play an increasingly important role in defining MS at the earliest stages, leading to better long-term clinical outcomes.
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Affiliation(s)
- Marwa Kaisey
- Cedars-Sinai Medical Center Department of Neurology, 127 S. San Vicente Blvd, A6600, Los Angeles, CA, 90048, USA.
| | - Ghazal Lashgari
- Cedars-Sinai Medical Center Department of Neurology, 127 S. San Vicente Blvd, A6600, Los Angeles, CA, 90048, USA
| | - Justyna Fert-Bober
- Cedars-Sinai Medical Center Department of Neurology, 127 S. San Vicente Blvd, A6600, Los Angeles, CA, 90048, USA
| | - Daniel Ontaneda
- Mellen Center for Multiple Sclerosis, Neurological Institute, Cleveland Clinic, 9500 Euclid Ave. U10 Mellen Center, Cleveland, OH, 44106, USA
| | - Andrew J Solomon
- Department of Neurological Sciences, Larner College of Medicine at the University of Vermont University Health Center, Arnold 2, 1 South Prospect Street, Burlington, VT, 05401, USA
| | - Nancy L Sicotte
- Cedars-Sinai Medical Center Department of Neurology, 127 S. San Vicente Blvd, A6600, Los Angeles, CA, 90048, USA
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12
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Natali P, Bedin R, Bernardi G, Corsini E, Cocco E, Schirru L, Crespi I, Lamonaca M, Sala A, Nicolò C, Di Filippo M, Villa A, Nociti V, De Michele T, Cavalla P, Caropreso P, Vitetta F, Cucinelli MR, Gastaldi M, Trenti T, Sola P, Ferraro D. Inter-Laboratory Concordance of Cerebrospinal Fluid and Serum Kappa Free Light Chain Measurements. Biomolecules 2022; 12:biom12050677. [PMID: 35625604 PMCID: PMC9138559 DOI: 10.3390/biom12050677] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 04/30/2022] [Accepted: 05/04/2022] [Indexed: 11/16/2022] Open
Abstract
The kappa index (K-Index), calculated by dividing the cerebrospinal fluid (CSF)/serum kappa free light chain (KFLC) ratio by the CSF/serum albumin ratio, is gaining increasing interest as a marker of intrathecal immunoglobulin synthesis. However, data on inter-laboratory agreement of these measures is lacking. The aim was to assess the concordance of CSF and serum KFLC measurements, and of K-index values, across different laboratories. KFLC and albumin of 15 paired CSF and serum samples were analyzed by eight participating laboratories. Four centers used Binding Site instruments and assays (B), three used Siemens instruments and assays (S), and one center used a Siemens instrument with a Binding Site assay (mixed). Absolute individual agreement was calculated using a two-way mixed effects intraclass correlation coefficient (ICC). Cohen’s kappa coefficient (k) was used to measure agreement on positive (≥5.8) K-index values. There was an excellent agreement in CSF KFLC measurements across all laboratories (ICC (95% confidence interval): 0.93 (0.87–0.97)) and of serum KFLC across B and S laboratories (ICC: 0.91 (0.73–0.97)), while ICC decreased (to 0.81 (0.53–0.93)) when including the mixed laboratory in the analysis. Concordance for a positive K-Index was substantial across all laboratories (k = 0.77) and within S laboratories (k = 0.71), and very good (k = 0.89) within B laboratories, meaning that patients rarely get discordant results on K-index positivity notwithstanding the testing in different laboratories and the use of different platforms/assays.
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Affiliation(s)
- Patrizia Natali
- Department of Laboratory Medicine, Azienda Ospedaliero-Universitaria and Azienda Unità Sanitaria Locale, 41126 Modena, Italy; (P.N.); (M.R.C.); (T.T.)
| | - Roberta Bedin
- Department of Biomedical, Metabolic and Neurosciences, University of Modena and Reggio Emilia, 41126 Modena, Italy;
| | - Gaetano Bernardi
- Laboratory Medicine Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy; (G.B.); (E.C.)
| | - Elena Corsini
- Laboratory Medicine Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy; (G.B.); (E.C.)
| | - Eleonora Cocco
- Multiple Sclerosis Center, ATS Sardegna/University of Cagliari, 09047 Cagliari, Italy; (E.C.); (L.S.)
| | - Lucia Schirru
- Multiple Sclerosis Center, ATS Sardegna/University of Cagliari, 09047 Cagliari, Italy; (E.C.); (L.S.)
| | - Ilaria Crespi
- Clinical Biochemistry Laboratory, Azienda Ospedaliero Universitaria Maggiore della Carità of Novara, 28100 Novara, Italy; (I.C.); (M.L.)
| | - Marta Lamonaca
- Clinical Biochemistry Laboratory, Azienda Ospedaliero Universitaria Maggiore della Carità of Novara, 28100 Novara, Italy; (I.C.); (M.L.)
| | - Arianna Sala
- Neurology Unit, CReSM, Azienda Ospedaliero Universitaria San Luigi Gonzaga, 10043 Orbassano, Italy;
| | - Cinzia Nicolò
- Clinical Chemistry and Microbiology Laboratory, Azienda Ospedaliero Universitaria San Luigi Gonzaga, 10043 Orbassano, Italy;
| | | | - Alfredo Villa
- Clinical Pathology and Haematology Laboratory, Azienda Ospedaliera of Perugia, 06132 Perugia, Italy;
| | - Viviana Nociti
- Multiple Sclerosis Center, Fondazione Policlinico Universitario “A. Gemelli” IRCCS, Catholic University, 00168 Rome, Italy;
| | - Teresa De Michele
- Clinical Chemistry, Biochemistry and Molecular Biology Laboratory, Fondazione Policlinico Universitario “A. Gemelli” IRCCS, 00168 Rome, Italy;
| | - Paola Cavalla
- Multiple Sclerosis Center, Department of Neurosciences and Mental Health, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza of Torino, 10126 Torino, Italy;
| | - Paola Caropreso
- Clinical Biochemistry Laboratory, Department of Laboratory Medicine, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza of Torino, 10126 Torino, Italy;
| | - Francesca Vitetta
- Neurology Unit, Azienda Ospedaliero-Universitaria of Modena, 41126 Modena, Italy; (F.V.); (P.S.)
| | - Maria Rosaria Cucinelli
- Department of Laboratory Medicine, Azienda Ospedaliero-Universitaria and Azienda Unità Sanitaria Locale, 41126 Modena, Italy; (P.N.); (M.R.C.); (T.T.)
| | - Matteo Gastaldi
- Neuroimmunology Laboratory, IRCCS Mondino Foundation, 27100 Pavia, Italy;
| | - Tommaso Trenti
- Department of Laboratory Medicine, Azienda Ospedaliero-Universitaria and Azienda Unità Sanitaria Locale, 41126 Modena, Italy; (P.N.); (M.R.C.); (T.T.)
| | - Patrizia Sola
- Neurology Unit, Azienda Ospedaliero-Universitaria of Modena, 41126 Modena, Italy; (F.V.); (P.S.)
| | - Diana Ferraro
- Department of Biomedical, Metabolic and Neurosciences, University of Modena and Reggio Emilia, 41126 Modena, Italy;
- Neurology Unit, Azienda Ospedaliero-Universitaria of Modena, 41126 Modena, Italy; (F.V.); (P.S.)
- Correspondence: ; Tel.: +39-059-396-1678
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13
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Alves Martins D, Lopes J, Martins da Silva A, Morais CI, Vasconcelos J, Lima I, Carneiro C, Neves E. Kappa free light chains: Diagnostic performance in multiple sclerosis and utility in a clinical laboratory. Clin Chim Acta 2022; 528:56-64. [DOI: 10.1016/j.cca.2022.01.017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 01/12/2022] [Accepted: 01/24/2022] [Indexed: 01/05/2023]
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14
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Cerebrospinal fluid kappa free light chains as biomarker in multiple sclerosis—from diagnosis to prediction of disease activity. Wien Med Wochenschr 2022; 172:337-345. [PMID: 35133530 PMCID: PMC9606042 DOI: 10.1007/s10354-022-00912-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 01/03/2022] [Indexed: 11/06/2022]
Abstract
Multiple sclerosis (MS) is a chronic immune-mediated disorder of the central nervous system that shows a high interindividual heterogeneity, which frequently poses challenges regarding diagnosis and prediction of disease activity. In this context, evidence of intrathecal inflammation provides an important information and might be captured by kappa free light chains (κ-FLC) in the cerebrospinal fluid (CSF). In this review, we provide an overview on what is currently known about κ‑FLC, its historical development, the available assays and current evidence on its diagnostic and prognostic value in MS. Briefly, intrathecal κ‑FLC synthesis reaches similar diagnostic accuracy compared to the well-established CSF-restricted oligoclonal bands (OCB) to identify patients with MS, and recent studies even depict its value for prediction of early MS disease activity. Furthermore, detection of κ‑FLC has significant methodological advantages in comparison to OCB detection.
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15
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Konen FF, Schwenkenbecher P, Jendretzky KF, Gingele S, Sühs KW, Tumani H, Süße M, Skripuletz T. The Increasing Role of Kappa Free Light Chains in the Diagnosis of Multiple Sclerosis. Cells 2021; 10:3056. [PMID: 34831279 PMCID: PMC8622045 DOI: 10.3390/cells10113056] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 10/26/2021] [Accepted: 11/04/2021] [Indexed: 12/03/2022] Open
Abstract
Free light chains (FLC) are a promising biomarker to detect intrathecal inflammation in patients with inflammatory central nervous system (CNS) diseases, including multiple sclerosis (MS). The diagnostic use of this biomarker, in particular the kappa isoform of FLC ("KFLC"), has been investigated for more than 40 years. Based on an extensive literature review, we found that an agreement on the correct method for evaluating KFLC concentrations has not yet been reached. KFLC indices with varying cut-off values and blood-CSF-barrier (QAlbumin) related non-linear formulas for KFLC interpretation have been investigated in several studies. All approaches revealed high diagnostic sensitivity and specificity compared with the oligoclonal bands, which are considered the gold standard for the detection of intrathecally synthesized immunoglobulins. Measurement of KFLC is fully automated, rater-independent, and has been shown to be stable against most pre-analytic influencing factors. In conclusion, the determination of KFLC represents a promising diagnostic approach to show intrathecal inflammation in neuroinflammatory diseases. Multicenter studies are needed to show the diagnostic sensitivity and specificity of KFLC in MS by using the latest McDonald criteria and appropriate, as well as standardized, cut-off values for KFLC concentrations, preferably considering non-linear formulas such as Reiber's diagram.
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Affiliation(s)
- Franz Felix Konen
- Department of Neurology, Hannover Medical School, 30625 Hannover, Germany; (F.F.K.); (P.S.); (K.F.J.); (S.G.); (K.-W.S.)
| | - Philipp Schwenkenbecher
- Department of Neurology, Hannover Medical School, 30625 Hannover, Germany; (F.F.K.); (P.S.); (K.F.J.); (S.G.); (K.-W.S.)
| | - Konstantin Fritz Jendretzky
- Department of Neurology, Hannover Medical School, 30625 Hannover, Germany; (F.F.K.); (P.S.); (K.F.J.); (S.G.); (K.-W.S.)
| | - Stefan Gingele
- Department of Neurology, Hannover Medical School, 30625 Hannover, Germany; (F.F.K.); (P.S.); (K.F.J.); (S.G.); (K.-W.S.)
| | - Kurt-Wolfram Sühs
- Department of Neurology, Hannover Medical School, 30625 Hannover, Germany; (F.F.K.); (P.S.); (K.F.J.); (S.G.); (K.-W.S.)
| | | | - Marie Süße
- Department of Neurology, University Medicine Greifswald, 17475 Greifswald, Germany;
| | - Thomas Skripuletz
- Department of Neurology, Hannover Medical School, 30625 Hannover, Germany; (F.F.K.); (P.S.); (K.F.J.); (S.G.); (K.-W.S.)
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16
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Rosenstein I, Rasch S, Axelsson M, Novakova L, Blennow K, Zetterberg H, Lycke J. Kappa free light chain index as a diagnostic biomarker in multiple sclerosis: A real-world investigation. J Neurochem 2021; 159:618-628. [PMID: 34478561 DOI: 10.1111/jnc.15500] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Accepted: 08/23/2021] [Indexed: 12/14/2022]
Abstract
Kappa free light chain (KFLC) index, a measure for intrathecal production of free kappa chains, has been increasingly recognized for its diagnostic potential in multiple sclerosis (MS) as a quantitative alternative to IgG oligoclonal bands (OCBs). Our objective was to investigate the sensitivity, specificity, and overall diagnostic accuracy of KFLC index in MS. KFLC index was prospectively determined as part of the diagnostic workup in patients with suspected MS (n = 327) between May 2013 and February 2020. Patients with clinically isolated syndrome (CIS), radiologically isolated syndrome (RIS), and MS had markedly higher KFLC index (44.6, IQR 16-128) compared with subjects with other neuro-inflammatory disorders (ONID) and symptomatic controls (SC) (2.19, IQR 1.68-2.98, p < 0.001). KFLC index had a sensitivity of 0.93 (95% CI 0.88-0.95) and specificity of 0.87 (95% CI 0.8-0.92) to discriminate CIS/RIS/MS from ONID and SC (AUC 0.94, 95% CI 0.91-0.97, p < 0.001). KFLC index and intrathecal fraction (IF) KFLC had similar accuracies to detect MS. Treatment with disease-modifying therapy (DMT) did not influence the level of KFLC index and it was not affected by demographic factors or associated with degenerative or inflammatory biomarkers in cerebrospinal fluid (CSF). KFLC index in MS diagnostics has methodological advantages compared to OCB and is independent to subjective interpretation. Moreover, it is an attractive diagnostic tool since the diagnostic specificity and sensitivity of KFLC index are similar with that of OCBs and KFLCIF and better than for IgG index. We show that KFLC index was influenced neither by DMT nor by demographic factors or other inflammatory or degenerative processes in MS as determined by biomarkers in CSF.
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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
| | - 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 UCL, London, UK.,Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK.,Hong Kong Centre for Neurodegenerative Diseases, Hong Kong, China
| | - Jan Lycke
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology at Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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17
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Berek K, Bsteh G, Auer M, Di Pauli F, Grams A, Milosavljevic D, Poskaite P, Schnabl C, Wurth S, Zinganell A, Berger T, Walde J, Deisenhammer F, Hegen H. Kappa-Free Light Chains in CSF Predict Early Multiple Sclerosis Disease Activity. NEUROLOGY-NEUROIMMUNOLOGY & NEUROINFLAMMATION 2021; 8:8/4/e1005. [PMID: 34049994 PMCID: PMC8168046 DOI: 10.1212/nxi.0000000000001005] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Accepted: 03/02/2021] [Indexed: 11/17/2022]
Abstract
Objective To investigate whether κ-free light chain (κ-FLC) index predicts multiple sclerosis (MS) disease activity independent of demographics, clinical characteristics, and MRI findings. Methods Patients with early MS who had CSF and serum sampling at disease onset were followed for 4 years. At baseline, age, sex, type of symptoms, corticosteroid treatment, and number of T2 hyperintense (T2L) and contrast-enhancing T1 lesions (CELs) on MRI were determined. During follow-up, the occurrence of a second clinical attack and start of disease-modifying therapy (DMT) were registered. κ-FLCs were measured by nephelometry, and κ-FLC index calculated as [CSF κ-FLC/serum κ-FLC]/albumin quotient. Results A total of 88 patients at a mean age of 33 ± 10 years and female predominance of 68% were included; 38 (43%) patients experienced a second clinical attack during follow-up. In multivariate Cox regression analysis adjusting for age, sex, T2L, CEL, disease and follow-up duration, administration of corticosteroids at baseline and DMT during follow-up revealed that κ-FLC index predicts time to second clinical attack. Patients with κ-FLC index >100 (median value 147) at baseline had a twice as high probability for a second clinical attack within 12 months than patients with low κ-FLC index (median 28); within 24 months, the chance in patients with high κ-FLC index was 4 times as high as in patients with low κ-FLC index. The median time to second attack was 11 months in patients with high κ-FLC index whereas 36 months in those with low κ-FLC index. Conclusion High κ-FLC index predicts early MS disease activity. Classification of Evidence This study provides Class II evidence that in patients with early MS, high κ-FLC index is an independent risk factor for early second clinical attack.
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Affiliation(s)
- Klaus Berek
- From the Department of Neurology (K.B., M.A., F.D.P., A.Z., F.D., H.H.), Medical University of Innsbruck; Department of Neurology (G.B., T.B.), Medical University of Vienna; Department of Neuroradiology (A.G., P.P.), Medical University of Innsbruck; FH Campus Wien (D.M., C.S.), University of Applied Sciences, Vienna; Department of Neurology (S.W.), Medical University of Graz; and Department of Statistics (J.W.), Faculty of Economics and Statistics, University of Innsbruck, Austria
| | - Gabriel Bsteh
- From the Department of Neurology (K.B., M.A., F.D.P., A.Z., F.D., H.H.), Medical University of Innsbruck; Department of Neurology (G.B., T.B.), Medical University of Vienna; Department of Neuroradiology (A.G., P.P.), Medical University of Innsbruck; FH Campus Wien (D.M., C.S.), University of Applied Sciences, Vienna; Department of Neurology (S.W.), Medical University of Graz; and Department of Statistics (J.W.), Faculty of Economics and Statistics, University of Innsbruck, Austria
| | - Michael Auer
- From the Department of Neurology (K.B., M.A., F.D.P., A.Z., F.D., H.H.), Medical University of Innsbruck; Department of Neurology (G.B., T.B.), Medical University of Vienna; Department of Neuroradiology (A.G., P.P.), Medical University of Innsbruck; FH Campus Wien (D.M., C.S.), University of Applied Sciences, Vienna; Department of Neurology (S.W.), Medical University of Graz; and Department of Statistics (J.W.), Faculty of Economics and Statistics, University of Innsbruck, Austria
| | - Franziska Di Pauli
- From the Department of Neurology (K.B., M.A., F.D.P., A.Z., F.D., H.H.), Medical University of Innsbruck; Department of Neurology (G.B., T.B.), Medical University of Vienna; Department of Neuroradiology (A.G., P.P.), Medical University of Innsbruck; FH Campus Wien (D.M., C.S.), University of Applied Sciences, Vienna; Department of Neurology (S.W.), Medical University of Graz; and Department of Statistics (J.W.), Faculty of Economics and Statistics, University of Innsbruck, Austria
| | - Astrid Grams
- From the Department of Neurology (K.B., M.A., F.D.P., A.Z., F.D., H.H.), Medical University of Innsbruck; Department of Neurology (G.B., T.B.), Medical University of Vienna; Department of Neuroradiology (A.G., P.P.), Medical University of Innsbruck; FH Campus Wien (D.M., C.S.), University of Applied Sciences, Vienna; Department of Neurology (S.W.), Medical University of Graz; and Department of Statistics (J.W.), Faculty of Economics and Statistics, University of Innsbruck, Austria
| | - Dejan Milosavljevic
- From the Department of Neurology (K.B., M.A., F.D.P., A.Z., F.D., H.H.), Medical University of Innsbruck; Department of Neurology (G.B., T.B.), Medical University of Vienna; Department of Neuroradiology (A.G., P.P.), Medical University of Innsbruck; FH Campus Wien (D.M., C.S.), University of Applied Sciences, Vienna; Department of Neurology (S.W.), Medical University of Graz; and Department of Statistics (J.W.), Faculty of Economics and Statistics, University of Innsbruck, Austria
| | - Paulina Poskaite
- From the Department of Neurology (K.B., M.A., F.D.P., A.Z., F.D., H.H.), Medical University of Innsbruck; Department of Neurology (G.B., T.B.), Medical University of Vienna; Department of Neuroradiology (A.G., P.P.), Medical University of Innsbruck; FH Campus Wien (D.M., C.S.), University of Applied Sciences, Vienna; Department of Neurology (S.W.), Medical University of Graz; and Department of Statistics (J.W.), Faculty of Economics and Statistics, University of Innsbruck, Austria
| | - Christine Schnabl
- From the Department of Neurology (K.B., M.A., F.D.P., A.Z., F.D., H.H.), Medical University of Innsbruck; Department of Neurology (G.B., T.B.), Medical University of Vienna; Department of Neuroradiology (A.G., P.P.), Medical University of Innsbruck; FH Campus Wien (D.M., C.S.), University of Applied Sciences, Vienna; Department of Neurology (S.W.), Medical University of Graz; and Department of Statistics (J.W.), Faculty of Economics and Statistics, University of Innsbruck, Austria
| | - Sebastian Wurth
- From the Department of Neurology (K.B., M.A., F.D.P., A.Z., F.D., H.H.), Medical University of Innsbruck; Department of Neurology (G.B., T.B.), Medical University of Vienna; Department of Neuroradiology (A.G., P.P.), Medical University of Innsbruck; FH Campus Wien (D.M., C.S.), University of Applied Sciences, Vienna; Department of Neurology (S.W.), Medical University of Graz; and Department of Statistics (J.W.), Faculty of Economics and Statistics, University of Innsbruck, Austria
| | - Anne Zinganell
- From the Department of Neurology (K.B., M.A., F.D.P., A.Z., F.D., H.H.), Medical University of Innsbruck; Department of Neurology (G.B., T.B.), Medical University of Vienna; Department of Neuroradiology (A.G., P.P.), Medical University of Innsbruck; FH Campus Wien (D.M., C.S.), University of Applied Sciences, Vienna; Department of Neurology (S.W.), Medical University of Graz; and Department of Statistics (J.W.), Faculty of Economics and Statistics, University of Innsbruck, Austria
| | - Thomas Berger
- From the Department of Neurology (K.B., M.A., F.D.P., A.Z., F.D., H.H.), Medical University of Innsbruck; Department of Neurology (G.B., T.B.), Medical University of Vienna; Department of Neuroradiology (A.G., P.P.), Medical University of Innsbruck; FH Campus Wien (D.M., C.S.), University of Applied Sciences, Vienna; Department of Neurology (S.W.), Medical University of Graz; and Department of Statistics (J.W.), Faculty of Economics and Statistics, University of Innsbruck, Austria
| | - Janette Walde
- From the Department of Neurology (K.B., M.A., F.D.P., A.Z., F.D., H.H.), Medical University of Innsbruck; Department of Neurology (G.B., T.B.), Medical University of Vienna; Department of Neuroradiology (A.G., P.P.), Medical University of Innsbruck; FH Campus Wien (D.M., C.S.), University of Applied Sciences, Vienna; Department of Neurology (S.W.), Medical University of Graz; and Department of Statistics (J.W.), Faculty of Economics and Statistics, University of Innsbruck, Austria
| | - Florian Deisenhammer
- From the Department of Neurology (K.B., M.A., F.D.P., A.Z., F.D., H.H.), Medical University of Innsbruck; Department of Neurology (G.B., T.B.), Medical University of Vienna; Department of Neuroradiology (A.G., P.P.), Medical University of Innsbruck; FH Campus Wien (D.M., C.S.), University of Applied Sciences, Vienna; Department of Neurology (S.W.), Medical University of Graz; and Department of Statistics (J.W.), Faculty of Economics and Statistics, University of Innsbruck, Austria
| | - Harald Hegen
- From the Department of Neurology (K.B., M.A., F.D.P., A.Z., F.D., H.H.), Medical University of Innsbruck; Department of Neurology (G.B., T.B.), Medical University of Vienna; Department of Neuroradiology (A.G., P.P.), Medical University of Innsbruck; FH Campus Wien (D.M., C.S.), University of Applied Sciences, Vienna; Department of Neurology (S.W.), Medical University of Graz; and Department of Statistics (J.W.), Faculty of Economics and Statistics, University of Innsbruck, Austria.
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18
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Tjernberg I, Johansson M, Henningsson AJ. Diagnostic performance of cerebrospinal fluid free light chains in Lyme neuroborreliosis - a pilot study. Clin Chem Lab Med 2020; 57:2008-2018. [PMID: 31199760 DOI: 10.1515/cclm-2019-0315] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2019] [Accepted: 05/18/2019] [Indexed: 11/15/2022]
Abstract
Background The aim of this study was to evaluate the diagnostic performance of cerebrospinal fluid (CSF) free light chains (FLCs) in the diagnosis of Lyme neuroborreliosis (LNB). Methods Serum and CSF levels of κ- and λ-FLC, albumin and total concentration of immunoglobulin M (IgM) were determined together with CSF chemokine CXCL13 in 23 patients with definite LNB, 35 inflammatory neurological disease control (INDC) and 18 non-inflammatory control (NIC) patients. Indices and intrathecal fractions (IFs) of FLC and IgM were calculated. Results Significant differences in FLC indices and IFs were found between the LNB group and both control groups, p ≤ 0.007. Sensitivity of intrathecal κ- and λ-FLC synthesis reached 78%-87% in LNB patients with a specificity of 94%-100% in NIC patients, whereas specificity in INDC patients was 69%. The corresponding frequencies of positive results for IF and index of IgM and CSF CXCL13 in these three diagnostic groups were 74%-96% in LNB patients, 0% in NIC patients and 3%-6% in INDC patients at the chosen cut-off levels. Conclusions The findings of this study show a moderate to high sensitivity of CSF κ- and λ-FLC in LNB patients with a high specificity in NIC patients. However, overlap in CSF κ- and λ-FLC levels between LNB and INDC patients calls for caution in the interpretation and limits the diagnostic usefulness in the LNB diagnosis. CSF CXCL13 appears to be the most valuable additional biomarker of LNB aside from routine parameters such as CSF pleocytosis and anti-Borrelia antibody index.
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Affiliation(s)
- Ivar Tjernberg
- Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden.,Department of Clinical Chemistry and Transfusion Medicine, Region Kalmar County, Kalmar, Sweden
| | - Marcus Johansson
- Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden.,Department of Clinical Microbiology, Region Kalmar County, Kalmar, Sweden
| | - Anna J Henningsson
- Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden.,Clinical Microbiology, Region Jönköping County, Jönköping, Sweden.,Clinical Microbiology, Region Östergötland, Linköping, Sweden
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19
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Hegen H, Walde J, Milosavljevic D, Aboulenein-Djamshidian F, Senel M, Tumani H, Deisenhammer F, Presslauer S. Free light chains in the cerebrospinal fluid. Comparison of different methods to determine intrathecal synthesis. Clin Chem Lab Med 2020; 57:1574-1586. [PMID: 31112501 DOI: 10.1515/cclm-2018-1300] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2018] [Accepted: 04/12/2019] [Indexed: 12/25/2022]
Abstract
Background Free light chains (FLC) have been proposed as diagnostic biomarkers in the cerebrospinal fluid (CSF) of patients with inflammatory central nervous system (CNS) diseases. However, which method to use for determining an intrathecal FLC synthesis has not yet been clarified. The objective of this study was to compare the diagnostic performance of CSF FLC concentration, FLC quotient (QFLC), FLC index and FLC intrathecal fraction (FLCIF). Methods κ- and λ-FLC were measured by nephelometry under blinded conditions in CSF and serum sample pairs of patients with clinically isolated syndrome (CIS; n = 60), multiple sclerosis (MS; n = 60) and other neurological diseases (n = 60) from four different MS centers. QFLC was calculated as the ratio of CSF/serum FLC concentration, the FLC index as QFLC/albumin quotient and the percentage FLCIF by comparing QFLC to a previously empirically determined, albumin quotient-dependent reference limit. Results CSF FLC concentration, QFLC, FLC index and FLCIF of both the κ- and λ-isotype were significantly higher in patients with CIS and MS than in the control group, as well as in oligoclonal bands (OCB) positive than in OCB negative patients. Each parameter was able to identify MS/CIS patients and OCB positivity, however, diagnostic performance determined by receiver operating characteristic (ROC) analyses differed and revealed superiority of FLC index and FLCIF. Conclusions These findings support the diagnostic value of FLC measures that correct for serum FLC levels and albumin quotient, i.e. blood-CSF barrier function.
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Affiliation(s)
- Harald Hegen
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Janette Walde
- Department of Statistics, Faculty of Economics and Statistics, University of Innsbruck, Innsbruck, Austria
| | | | - Fahmy Aboulenein-Djamshidian
- Department of Neurology, SMZ-Ost Donauspital, Karl Landsteiner Institute for Neuroimmunological and Neurodegenerative Disorders, Vienna, Austria
| | - Makbule Senel
- Department of Neurology, University Hospital Ulm, Ulm, Germany
| | - Hayrettin Tumani
- Department of Neurology, University Hospital Ulm, Ulm, Germany.,Specialty Clinic of Neurology Dietenbronn, Schwendi, Germany
| | | | - Stefan Presslauer
- Department of Neurology, Wilhelminenspital, Montleartstrasse 37, 1160 Vienna, Austria
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20
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Lotan I, Ganelin-Cohen E, Tartakovsky E, Khasminsky V, Hellmann MA, Steiner I, Ben-Zvi I, Livneh A, Golderman S, Kaplan B. Saliva immunoglobulin free light chain analysis for monitoring disease activity and response to treatment in multiple sclerosis. Mult Scler Relat Disord 2020; 44:102339. [PMID: 32599469 DOI: 10.1016/j.msard.2020.102339] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Revised: 06/14/2020] [Accepted: 06/23/2020] [Indexed: 11/25/2022]
Abstract
BACKGROUND Immunoglobulin free light chains (FLC) have recently gained considerable interest as new promising intrathecal biomarkers of multiple sclerosis (MS). However, lumbar puncture is invasive and not practical for monitoring disease course. This study aimed to assess the utility of saliva FLC as a biomarker of disease activity and response to treatment in MS METHODS: Western blotting was used to study saliva FLC monomers and dimers. The intensity of immunoreactive FLC bands was quantified by electrophoresis analysis, and the obtained values were used as FLC indices to account for kappa and lambda FLC monomer and dimer levels. Firth's logistic regression analysis suitable to study small cohorts was applied to compare FLC levels between M.S. patients in relapse, MS patients in remission, and healthy controls. Association between FLC levels and clinical and radiological parameters was analyzed. RESULTS 55 MS patients and 40 healthy controls were evaluated. Saliva FLC levels were significantly higher in relapse compared to remission. Logistic regression analysis employing a combination of FLC indices confirmed the significant difference between these two groups. The FLC levels were significantly reduced by treatment with corticosteroids. During remission, patients treated with disease-modifying therapies had lower levels of FLC compared to untreated patients. The increased FLC levels were associated with the presence of gadolinium-enhancing lesions, but not with MRI T2 lesion load and EDSS scores. During individual patient follow-up, the changes of the saliva FLC levels were in concordance with the disease activity status. CONCLUSIONS Saliva FLC levels may be a useful biomarker for discriminating between stable remission and active disease. The developed test may serve as a new, non-invasive, and inexpensive tool for monitoring disease activity and response to treatment in MS.
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Affiliation(s)
- Itay Lotan
- Department of Neurology, Rabin Medical Center, Beilinson Hospital, Israel; Sackler Faculty of Medicine, Tel-Aviv University, Israel.
| | - Esther Ganelin-Cohen
- Sackler Faculty of Medicine, Tel-Aviv University, Israel; Institute of Pediatric Neurology, Schneider Children's Medical Center, Petach Tikva 49202, Israel
| | - Evgeny Tartakovsky
- Tartakovsky MLD Consultancy, P.O. Box 71, Rishon Lezion, 7510001, Israel
| | - Vadim Khasminsky
- Sackler Faculty of Medicine, Tel-Aviv University, Israel; Department of Radiology, Rabin Medical Center, Beilinson Hospital, Israel
| | - Mark A Hellmann
- Department of Neurology, Rabin Medical Center, Beilinson Hospital, Israel; Sackler Faculty of Medicine, Tel-Aviv University, Israel
| | - Israel Steiner
- Department of Neurology, Rabin Medical Center, Beilinson Hospital, Israel; Tartakovsky MLD Consultancy, P.O. Box 71, Rishon Lezion, 7510001, Israel
| | - Ilan Ben-Zvi
- Sackler Faculty of Medicine, Tel-Aviv University, Israel; Heller Institute of Medical Research, Sheba Medical Center, Tel-Hashomer, Israel
| | - Avi Livneh
- Sackler Faculty of Medicine, Tel-Aviv University, Israel; Heller Institute of Medical Research, Sheba Medical Center, Tel-Hashomer, Israel
| | - Sizilia Golderman
- Heller Institute of Medical Research, Sheba Medical Center, Tel-Hashomer, Israel
| | - Batia Kaplan
- Heller Institute of Medical Research, Sheba Medical Center, Tel-Hashomer, Israel
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21
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Kappa free light chains index in the differential diagnosis of Multiple Sclerosis from Neuromyelitis optica spectrum disorders and other immune-mediated central nervous system disorders. J Neuroimmunol 2020; 339:577122. [DOI: 10.1016/j.jneuroim.2019.577122] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2019] [Revised: 11/30/2019] [Accepted: 12/02/2019] [Indexed: 11/20/2022]
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22
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Reiber H, Zeman D, Kušnierová P, Mundwiler E, Bernasconi L. Diagnostic relevance of free light chains in cerebrospinal fluid - The hyperbolic reference range for reliable data interpretation in quotient diagrams. Clin Chim Acta 2019; 497:153-162. [PMID: 31351929 DOI: 10.1016/j.cca.2019.07.027] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Revised: 07/24/2019] [Accepted: 07/24/2019] [Indexed: 10/26/2022]
Abstract
BACKGROUND Free light chains, type kappa (FLC-K), in cerebrospinal fluid (CSF) were compared to oligoclonal IgG in many studies for sensitive detection of immune reactions in brain. The missing consensus about CSF data interpretation prevents reliable conclusions. This can be overcome by a theory-based hyperbolic reference range in CSF/serum quotient diagrams. METHODS Mean Quotients for FLC-K, QKappa, and albumin, QAlb, of grouped, biochemically defined controls (N = 433) are fitted with the hyperbolic function QKappa(mean) = a/b (QAlb2 + b2)0.5 - c by a generally applicable procedure excluding outliers. RESULTS With QKappa(mean), the coefficient of variation CV (22.5%) and the reference range (QKappa(mean) ± 3 CV) we got the discrimination line QKappa(lim) = (3.27(QAlb2 + 33)0.5-8.2) ×10-3 in a FLC-K Reibergram. Intrathecal FLC-K was found in 8% of another control group without OCB (N = 388) but was missed in 7% of patients with definite Multiple sclerosis (N = 95). In MS the mean intrathecal fraction was threefold larger for FLC-K (95%) compared to total IgG (36%). Similar mean quantities of intrathecal FLC-K contradict an immunological conversion between a Clinically isolated syndrome and MS. DISCUSSION The hyperbolic reference range is superior to linear FLC-K Index (10 to 15% false negatives) and exponential curves (30% false positive interpretations for controls) in the analytical range of MS data, with excellent data fit for up to ten-fold larger QAlb values. Dynamics of the small molecule FLC-K contribute to the understanding of molecular size dependent barrier functions.
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Affiliation(s)
| | - David Zeman
- Department of Biomedical Sciences, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic; Clinic of Neurology, University Hospital Ostrava, Ostrava, Poruba, Czech Republic.
| | - Pavlína Kušnierová
- Department of Biomedical Sciences, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic.
| | - Esther Mundwiler
- Institute of Laboratory Medicine, Kantonsspital Aarau, Switzerland.
| | - Luca Bernasconi
- Institute of Laboratory Medicine, Kantonsspital Aarau, Switzerland.
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23
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Lo Sasso B, Agnello L, Bivona G, Bellia C, Ciaccio M. Cerebrospinal Fluid Analysis in Multiple Sclerosis Diagnosis: An Update. ACTA ACUST UNITED AC 2019; 55:medicina55060245. [PMID: 31167509 PMCID: PMC6630948 DOI: 10.3390/medicina55060245] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2019] [Revised: 04/10/2019] [Accepted: 05/30/2019] [Indexed: 01/11/2023]
Abstract
Multiple sclerosis (MS) is an immune-mediated demyelinating disease of the central nervous system (CNS) with brain neurodegeneration. MS patients present heterogeneous clinical manifestations in which both genetic and environmental factors are involved. The diagnosis is very complex due to the high heterogeneity of the pathophysiology of the disease. The diagnostic criteria have been modified several times over the years. Basically, they include clinical symptoms, presence of typical lesions detected by magnetic resonance imaging (MRI), and laboratory findings. The analysis of cerebrospinal fluid (CSF) allows an evaluation of inflammatory processes circumscribed to the CNS and reflects changes in the immunological pattern due to the progression of the pathology, being fundamental in the diagnosis and monitoring of MS. The detection of the oligoclonal bands (OCBs) in both CSF and serum is recognized as the “gold standard” for laboratory diagnosis of MS, though presents analytical limitations. Indeed, current protocols for OCBs assay are time-consuming and require an operator-dependent interpretation. In recent years, the quantification of free light chain (FLC) in CSF has emerged to assist clinicians in the diagnosis of MS. This article reviews the current knowledge on CSF biomarkers used in the diagnosis of MS, in particular on the validated assays and on the alternative biomarkers of intrathecal synthesis.
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Affiliation(s)
- Bruna Lo Sasso
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, 90100 Palermo, Italy.
| | - Luisa Agnello
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, 90100 Palermo, Italy.
| | - Giulia Bivona
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, 90100 Palermo, Italy.
| | - Chiara Bellia
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, 90100 Palermo, Italy.
| | - Marcello Ciaccio
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, 90100 Palermo, Italy.
- Department Laboratory Medicine, University-Hospital, 90100 Palermo, Italy.
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24
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Hegen H, Zinganell A, Auer M, Deisenhammer F. The clinical significance of single or double bands in cerebrospinal fluid isoelectric focusing. A retrospective study and systematic review. PLoS One 2019; 14:e0215410. [PMID: 30986255 PMCID: PMC6464233 DOI: 10.1371/journal.pone.0215410] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2019] [Accepted: 04/01/2019] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND The presence of ≥3 oligoclonal bands (OCB) in the cerebrospinal fluid (CSF) without corresponding bands in serum represents a definite pathological pattern, whereas the clinical significance of 1-2 CSF bands (borderline pattern) is poorly investigated. METHODS We screened 1986 consecutive CSF and serum samples which were collected over a four-year time period and had results of isoelectric focusing (IEF) available. Of patients with borderline OCB we reviewed individual medical charts for assessment of clinical diagnoses. Where feasible, IEF was replicated and results of follow-up samples were obtained. IEF was performed using polyacrylamide gel followed by immunoblotting and IgG-specific antibody staining. Additionally, we performed a systematic literature review of the diagnostic specificity of OCB using different cut-offs for CSF-restricted bands. RESULTS Out of 253 patients with borderline OCB, 21.7% had an inflammatory neurological disease (IND) of the central nervous system, comprising 4% multiple sclerosis patients, and 14.2% had a peripheral IND, whereas the remaining 64.1% of patients showed non-inflammatory diseases. Frequency of one or two CSF bands without corresponding serum bands did not differ between the disease groups. In a subgroup of 100 patients IEF was repeated. Of those, 73% were OCB negative, while no sample was positive. In 26 patients IEF results were available of a follow-up sample collected after a median of 27 months. Of those, 4 (15.4%) turned positive. Systematic literature review revealed a diagnostic specificity of OCB of 97% and 92% using a cut-off ≥3 and ≥2 CSF bands in patients with mainly non-inflammatory neurological diseases. CONCLUSION The clinical significance of one or two CSF-restricted bands is moderate and, hence, indicates a possible but not reliable proof of intrathecal B-cell activity. Sample re-testing, introduction of an additional diagnostic category, e.g. "possible intrathecal IgG synthesis", and follow-up lumbar puncture might be possible options to address this scenario.
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Affiliation(s)
- Harald Hegen
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Anne Zinganell
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Michael Auer
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
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25
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Shedko ED, Tyumentseva MA. Cerebrospinal fluid molecular biomarkers of multiple sclerosis. Zh Nevrol Psikhiatr Im S S Korsakova 2019; 119:95-102. [DOI: 10.17116/jnevro201911907195] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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26
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Relevance of KFLC quantification to differentiate clinically isolated syndrome from multiple sclerosis at clinical onset. Clin Neurol Neurosurg 2018; 174:220-229. [DOI: 10.1016/j.clineuro.2018.09.031] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2018] [Revised: 09/13/2018] [Accepted: 09/22/2018] [Indexed: 11/22/2022]
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