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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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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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Tortosa-Carreres J, Quiroga-Varela A, Castillo-Villalba J, Piqueras-Rodríguez M, Ramió-Torrenta L, Cubas-Núñez L, Gasqué-Rubio R, Quintanilla-Bordas C, Huertas-Pons JM, Miguela A, Casanova B, Laiz-Marro B, Pérez-Miralles FC. Improving the efficiency of free kappa light chains as diagnostic biomarker of Multiple Sclerosis by using a novel algorithm. Mult Scler Relat Disord 2023; 79:104997. [PMID: 37714099 DOI: 10.1016/j.msard.2023.104997] [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: 08/01/2023] [Revised: 08/21/2023] [Accepted: 09/04/2023] [Indexed: 09/17/2023]
Abstract
BACKGROUND Intrathecal immunoglobulin synthesis (ITS) plays a crucial role in the diagnosis of multiple sclerosis (MS). Traditionally, the gold standard method for detecting ITS has been through the analysis of oligoclonal bands (OCB). However, the paradigm has shifted with the introduction of the free kappa light chains (FKLC) method. In fact, a recent consensus recommends evaluating FKLC index (FKLCi) as the primary approach and reserving oligoclonal bands with borderline results. The objective of our study is to investigate the diagnostic efficiency of combining FKLC with other methods to predict ITS while minimizing the reliance on OCB. METHODS A total of 192 patients were included in the study, consisting of 145 individuals diagnosed with multiple sclerosis (pwMS) and 46 with other neurological diseases (controls). Among the MS cases, 100 patients were assigned to the Training Cohort (TC), while an external Validation Cohort (VC) comprised of 45 MS patients was established. Diagnostic efficiency was assessed for FKLCi, OCB, Link index, and the Reiber formula for IgG and FKLC. Optimal cutoff values for Link index and FKLCi were also determined. The last procedure was developed for diverse algorithms using the parameters mentioned above, which included the optimal cutoffs previously obtained. The calculations were conducted independently for both the TC and the VC, as well as for a composite cohort formed by combining data from all patients (OC) RESULTS: One algorithm, named KRO, was developed based on the determination of FKLCi and Reiber Formula as the primary diagnostic parameters. For cases where the FKLCi result was mildly increased, OCB was utilized as a supplementary test. The KRO algorithm demonstrated superior diagnostic accuracy in the OC (89%), resulting in a reduction of OCB consumption by 91%. DISCUSSION The KRO algorithm demonstrated superior sensitivity and accuracy although lower specificity and NPV compared to the use of FKLCi and OCB alone. The present research aligns with the new consensus recommendations regarding the diagnostic approach. Our findings indicate that employing a combined marker approach via KRO could prove to be a proficient screening tool for multiple sclerosis. This approach also holds the potential to address inherent limitations associated with each individual marker. However, to further validate and solidify the efficacy of our algorithm, additional studies involving larger cohorts are warranted.
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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.
| | - Anna Quiroga-Varela
- Neurodegeneration and Neuroinflammation Research Group, Girona Biomedical Research Institute (IDIBGI), Girona, Spain
| | - Jessica Castillo-Villalba
- Grupo de investigación en Neuroinmunología, Instituto de Investigación Sanitaria La Fe (IISLAFE), Valencia, España; Medicine Department, University of Valencia, Valencia 46010, Spain
| | - Mónica Piqueras-Rodríguez
- Laboratory Department, La Fe University and Polytechnic Hospital, Valencia 46026, Spain; Medicine Department, University of Valencia, Valencia 46010, 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
| | - Laura Cubas-Núñez
- Grupo de investigación en Neuroinmunología, Instituto de Investigación Sanitaria La Fe (IISLAFE), Valencia, España
| | - Raquel Gasqué-Rubio
- Grupo de investigación en Neuroinmunología, Instituto de Investigación Sanitaria La Fe (IISLAFE), Valencia, España; Medicine Department, University of Valencia, Valencia 46010, Spain
| | - Carlos Quintanilla-Bordas
- Neurology Department, La Fe University and Polytechnic Hospital, Valencia 46026, Spain; Grupo de investigación en Neuroinmunología, Instituto de Investigación Sanitaria La Fe (IISLAFE), Valencia, España
| | - Joana María Huertas-Pons
- Neurodegeneration and Neuroinflammation Research Group, Girona Biomedical Research Institute (IDIBGI), Girona, Spain
| | - Albert Miguela
- Neurodegeneration and Neuroinflammation Research Group, Girona Biomedical Research Institute (IDIBGI), Girona, Spain
| | - Bonaventura Casanova
- Neurology Department, La Fe University and Polytechnic Hospital, Valencia 46026, Spain; Grupo de investigación en Neuroinmunología, Instituto de Investigación Sanitaria La Fe (IISLAFE), Valencia, España
| | - Begoña Laiz-Marro
- Laboratory Department, La Fe University and Polytechnic Hospital, Valencia 46026, Spain
| | - Francisco Carlos Pérez-Miralles
- Neurology Department, La Fe University and Polytechnic Hospital, Valencia 46026, Spain; Grupo de investigación en Neuroinmunología, Instituto de Investigación Sanitaria La Fe (IISLAFE), Valencia, España
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Monreal E, Fernández-Velasco JI, García-Soidán A, Sainz de la Maza S, Espiño M, Villarrubia N, Rodríguez-Jorge F, Chico-García JL, Sainz-Amo R, Masjuan J, Costa-Frossard L, Villar LM. Establishing the best combination of the kappa free light chain index and oligoclonal bands for an accurate diagnosis of multiple sclerosis. Front Immunol 2023; 14:1288169. [PMID: 37954589 PMCID: PMC10634415 DOI: 10.3389/fimmu.2023.1288169] [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: 09/03/2023] [Accepted: 10/09/2023] [Indexed: 11/14/2023] Open
Abstract
Introduction The immunoglobulin kappa free light chain (KFLC) index has been proposed as a potentially suitable alternative to oligoclonal IgG bands (OCGB) for diagnosing multiple sclerosis (MS), offering automation and reduced processing time. However, there is no consensus on the preferred approach or how to combine both techniques. Methods This prospective cohort study aimed to determine the best utilization of OCGB and KFLC index in patients with a clinically isolated syndrome (CIS) followed for at least two years. OCGB and KFLC were assessed using isoelectric focusing and immunoblotting and turbidimetry, respectively. Sensitivity, specificity, and accuracy for diagnosing MS were calculated for each method. Results The study included 371 patients, with 260 (70.1 %) being women, and a median age of 34.9 (27.8 - 43.9) years. Using a cut-off value of 6.1, the KFLC index demonstrated a sensitivity and specificity of 86.3% and 93.9%, respectively. The sensitivity of OCGB (95.3%) was higher (p < 0.001 vs. KFLC index) and the specificity (100%) was comparable to that of the KFLC index (p = 0.5). The concordance between the methods was not uniform across all patients, with 97.8% agreement in patients with KFLC index ≥ 6.1 and 56.0 % in patients with KFLC index < 6.1. In patients with a KFLC index < 6.1, OCGB still identified 75.0 % of MS patients due to its higher sensitivity. An algorithm using the KFLC index as a screening tool and OCGB as an alternative for patients with a negative KFLC index result achieved an accuracy of 96.3 %. Discussion Combining the KFLC index and OCGB can provide an easily reproducible and accurate method for diagnosing MS, with OCGB primarily reserved for patients with a KFLC index < 6.1.
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Affiliation(s)
- Enric Monreal
- Department of Neurology, Hospital Universitario Ramón y Cajal, Red Española de Esclerosis Múltiple (REEM), Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Universidad de Alcalá, Madrid, Spain
| | - José Ignacio Fernández-Velasco
- Department of Immunology, Hospital Universitario Ramón y Cajal, Red Española de Esclerosis Múltiple (REEM), Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Universidad de Alcalá, Madrid, Spain
| | - Ana García-Soidán
- Department of Immunology, Hospital Universitario Ramón y Cajal, Red Española de Esclerosis Múltiple (REEM), Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Universidad de Alcalá, Madrid, Spain
| | - Susana Sainz de la Maza
- Department of Neurology, Hospital Universitario Ramón y Cajal, Red Española de Esclerosis Múltiple (REEM), Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Universidad de Alcalá, Madrid, Spain
| | - Mercedes Espiño
- Department of Immunology, Hospital Universitario Ramón y Cajal, Red Española de Esclerosis Múltiple (REEM), Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Universidad de Alcalá, Madrid, Spain
| | - Noelia Villarrubia
- Department of Immunology, Hospital Universitario Ramón y Cajal, Red Española de Esclerosis Múltiple (REEM), Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Universidad de Alcalá, Madrid, Spain
| | - Fernando Rodríguez-Jorge
- Department of Neurology, Hospital Universitario Ramón y Cajal, Red Española de Esclerosis Múltiple (REEM), Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Universidad de Alcalá, Madrid, Spain
| | - Juan Luís Chico-García
- Department of Neurology, Hospital Universitario Ramón y Cajal, Red Española de Esclerosis Múltiple (REEM), Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Universidad de Alcalá, Madrid, Spain
| | - Raquel Sainz-Amo
- Department of Neurology, Hospital Universitario Ramón y Cajal, Red Española de Esclerosis Múltiple (REEM), Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Universidad de Alcalá, Madrid, Spain
| | - Jaime Masjuan
- Department of Neurology, Hospital Universitario Ramón y Cajal, Red Española de Esclerosis Múltiple (REEM), Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Universidad de Alcalá, Madrid, Spain
| | - Lucienne Costa-Frossard
- Department of Neurology, Hospital Universitario Ramón y Cajal, Red Española de Esclerosis Múltiple (REEM), Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Universidad de Alcalá, Madrid, Spain
| | - Luisa María Villar
- Department of Immunology, Hospital Universitario Ramón y Cajal, Red Española de Esclerosis Múltiple (REEM), Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Universidad de Alcalá, Madrid, Spain
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Bertram D, Tsaktanis T, Berthele A, Korn T. The role of intrathecal free light chains kappa for the detection of autoimmune encephalitis in subacute onset neuropsychiatric syndromes. Sci Rep 2023; 13:17224. [PMID: 37821561 PMCID: PMC10567819 DOI: 10.1038/s41598-023-44427-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Accepted: 10/08/2023] [Indexed: 10/13/2023] Open
Abstract
Intrathecal synthesis of free light chains kappa (FLCK) is increasingly recognized as a marker of inflammatory CNS pathologies. Here, we tested the performance of FLCK in differentiating autoimmune encephalitis (AIE) from non-inflammatory etiologies in subacute onset neuropsychiatric syndromes. Patients undergoing diagnostic work-up for suspected autoimmune encephalitis at our department between 2015 and 2020 were retrospectively assessed for definitive diagnosis, available CSF and blood samples, as well as complete clinical records. Intrathecal FLCK was measured along with established CSF markers of CNS inflammation. The study cohort consisted of 19 patients with antibody-mediated AIE (AIE+), 18 patients with suspected AIE but without detectable autoantibodies (AIE-), 10 patients with infectious (viral) encephalitis (INE), and 15 patients with degenerative encephalopathies (DGE). 25 age- and sex-matched patients with non-inflammatory neurological diseases (NIND) were used as a control group. All AIE+ patients exhibited intrathecal synthesis of FLCK compared to only 39% of AIE- patients and 81% of patients in the INE group. No intrathecal synthesis of FLCK was found in DGE and NIND patients. While intrathecal FLCK was equally specific for an inflammatory etiology as oligoclonal bands (OCB) in the cerebrospinal fluid (CSF), the sensitivity of intrathecal FLCK for any inflammatory intrathecal process was higher than that of OCB (83% vs. 38%). Intrathecal FLCK synthesis was found to discriminate AIE+ from non-inflammatory encephalopathies and AIE- when the CSF cell count was normal [receiver operating characteristic (ROC) analysis area under the curve (AUC): 0.867, p = 0.002], while it failed to differentiate between AIE+ and INE in the presence of CSF pleocytosis (AUC: 0.561, p = 0.607). In conclusion, in the absence of CSF pleocytosis, intrathecal FLCK discriminated AIE+ from competing diagnoses in our cohort of subacute onset neuropsychiatric syndromes. In addition to established markers of CSF inflammation, intrathecal FLCK might support clinical decision-making and contribute to selecting patients for (repeated) antibody testing.
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Affiliation(s)
- Dominic Bertram
- Department of Neurology, Technical University of Munich School of Medicine, Ismaninger Str. 22, 81675, Munich, Germany
| | - Thanos Tsaktanis
- Department of Neurology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
| | - Achim Berthele
- Department of Neurology, Technical University of Munich School of Medicine, Ismaninger Str. 22, 81675, Munich, Germany
| | - Thomas Korn
- Department of Neurology, Technical University of Munich School of Medicine, Ismaninger Str. 22, 81675, Munich, Germany.
- Institute for Experimental Neuroimmunology, Technical University of Munich School of Medicine, Ismaninger Str. 22, 81675, Munich, Germany.
- Munich Cluster for Systems Neurology (SyNergy), Feodor-Lynen-Str. 17, 81377, Munich, Germany.
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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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7
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Thevarkalam M, Krishnan S, Shanmughan LI, Mathai A, Leelamani JV, Kannoth S, Bhaskaran R, Iype T, Panda S. Determination of sensitivities and specificities of cerebrospinal fluid free light chains to diagnose multiple sclerosis- a multicentric case-control study. Mult Scler Relat Disord 2023; 74:104717. [PMID: 37062197 DOI: 10.1016/j.msard.2023.104717] [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: 08/10/2022] [Revised: 04/06/2023] [Accepted: 04/10/2023] [Indexed: 04/18/2023]
Abstract
BACKGROUND CSF free light chains help diagnose multiple sclerosis, but no data is available on the Asian population. Our objective was to study the diagnostic utility of CSF free light chains for diagnosing multiple sclerosis in Indian patients. METHODS Prospective multicentric case-control study. Cases included those who were tested for oligoclonal bands and fulfilled the modified McDonald criteria 2017 for multiple sclerosis and clinically isolated syndromes. Those tested for oligoclonal bands (OCB) but with other diagnoses- inflammatory and non-inflammatory were included as controls. Clinical details were collected from electronic medical records. CSF and serum kappa and lambda free light chains were measured, apart from oligoclonal bands, immunoglobulin, and albumin in paired serum and CSF samples. RESULTS There were 70 patients (31 cases and 39 controls). The mean age was 43.41(SD 16.073) years, and 43(61.4%) were females. CSF kappa showed highest specificity 97.4%, at a cut off 2.06 mg/L (sensitivity 71%) and highest sensitivity 90.3%, at a cut off 0.47 mg/L (specificity 79.5%). Best balance of sensitivity and specificity for CSF kappa was seen at a cut-off of ≥ 0.63 mg/L {sensitivity 87·1 (CI - 70.17-96.37), and specificity 87·18 (CI -72.57-95.70)}. The ratio of Kappa/lambda showed highest specificity of 100%(similar to OCB) with a sensitivity of 71% at a cut off of 1.72. The ratio of sum of kappa and lambda light chains, and Qalb (∑CSF FLC/Qalb), showed the highest specificity (94.87%)among the blood brain barrier corrected ratios. CONCLUSION This study showed that the diagnostic utility of CSF kappa was comparable to OCB to diagnose multiple sclerosis in sensitivity, but not specificity, so can be a screening test before testing for OCB in our population.
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Affiliation(s)
- Meena Thevarkalam
- Department of Biochemistry, Amrita Institute of Medical Sciences, Amrita Viswavidyapeetham University, Kochi, Kerala, India 682041
| | - Sajitha Krishnan
- Department of Biochemistry, Amrita Institute of Medical Sciences, Amrita Viswavidyapeetham University, Kochi, Kerala, India 682041.
| | - Layana I Shanmughan
- Department of Biochemistry, Amrita Institute of Medical Sciences, Amrita Viswavidyapeetham University, Kochi, Kerala, India 682041
| | - Annamma Mathai
- Neuroimmunology Laboratory, Department of Neurology, Amrita Institute of Medical Sciences, Amrita Viswavidyapeetham University, Kochi, Kerala, India 682041
| | - Jyothi V Leelamani
- Neuroimmunology Laboratory, Department of Neurology, Amrita Institute of Medical Sciences, Amrita Viswavidyapeetham University, Kochi, Kerala, India 682041
| | - Sudheeran Kannoth
- Neuroimmunology Laboratory, Department of Neurology, Amrita Institute of Medical Sciences, Amrita Viswavidyapeetham University, Kochi, Kerala, India 682041
| | - Renjitha Bhaskaran
- Department of biostatistics, Amrita Institute of Medical Sciences, Amrita Viswavidyapeetham University, Kochi, Kerala, India 682041
| | - Thomas Iype
- Department of Neurology, Government Medical College, Thiruvananthapuram, Kerala, India. 695011
| | - Samhita Panda
- Department of Neurology, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India 342005
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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: 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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9
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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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10
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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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11
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Boufidou F, Vakrakou AG, Anagnostouli M, Patas K, Paraskevas G, Chatzipanagiotou S, Stefanis L, Evangelopoulos ME. An Updated Evaluation of Intrathecal IgG Synthesis Markers in Relation to Oligoclonal Bands. Diagnostics (Basel) 2023; 13:diagnostics13030389. [PMID: 36766494 PMCID: PMC9913896 DOI: 10.3390/diagnostics13030389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 12/29/2022] [Accepted: 01/16/2023] [Indexed: 01/22/2023] Open
Abstract
The aim was to evaluate the performance of the latest quantitative marker for intrathecal IgG synthesis and to compare it with other established markers used for the same purpose. We retrospectively applied Auer's and Reiber's intrathecal IgG synthesis formulae in a cohort of 372 patients under investigation for central nervous system demyelination who had undergone lumbar puncture and oligoclonal bands (OCBs) detection for demonstrating intrathecal IgG synthesis. A ROC analysis revealed Auer's formula had lower sensitivity (68%) compared to Reiber's formula (83%) and IgG index (89%), in our cohort of patients that exhibited normal to mildly elevated albumin quotients (4.48 ± 3.93). By excluding possible sources of errors, we assume that Auer's formula is less sensitive than other established tools for the "prediction" of the detection of OCBs in routine cerebrospinal fluid (CSF) analyses due to the mathematical model used. Given the ability of Reiber's hyperbolic formula to describe the blood-CSF IgG distribution across a wide range of blood-brain barrier functionality, its use and the use of similar formulae are recommended for the discrimination between CNS-derived and blood-derived molecules in clinical laboratories.
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Affiliation(s)
- Fotini Boufidou
- Neurochemistry and Biological Markers Unit, 1st Department of Neurology, Eginition Hospital, Medical School, National and Kapodistrian University of Athens, 115 28 Athens, Greece
- Department of Biopathology, Eginition Hospital, Medical School, National and Kapodistrian University of Athens, 115 28 Athens, Greece
- Correspondence: ; Tel.: +30-2107289125
| | - Aigli G. Vakrakou
- 1st Department of Neurology, Eginition Hospital, Medical School, National and Kapodistrian University of Athens, 115 28 Athens, Greece
| | - Maria Anagnostouli
- 1st Department of Neurology, Eginition Hospital, Medical School, National and Kapodistrian University of Athens, 115 28 Athens, Greece
| | - Kostas Patas
- Department of Biopathology, Eginition Hospital, Medical School, National and Kapodistrian University of Athens, 115 28 Athens, Greece
| | - Georgios Paraskevas
- 2nd Department of Neurology, Attikon University Hospital, Medical School, National and Kapodistrian University of Athens, 12462 Athens, Greece
| | - Stylianos Chatzipanagiotou
- Department of Biopathology, Eginition Hospital, Medical School, National and Kapodistrian University of Athens, 115 28 Athens, Greece
| | - Leonidas Stefanis
- 1st Department of Neurology, Eginition Hospital, Medical School, National and Kapodistrian University of Athens, 115 28 Athens, Greece
| | - Maria-Eleftheria Evangelopoulos
- 1st Department of Neurology, Eginition Hospital, Medical School, National and Kapodistrian University of Athens, 115 28 Athens, Greece
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Kappa Free Light Chain Biomarkers Are Efficient for the Diagnosis of Multiple Sclerosis. NEUROLOGY - NEUROIMMUNOLOGY NEUROINFLAMMATION 2023; 10:10/1/e200049. [PMCID: PMC9663206 DOI: 10.1212/nxi.0000000000200049] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 09/07/2022] [Indexed: 11/16/2022]
Abstract
Background and ObjectivesKappa free light chains (KFLC) seem to efficiently diagnose MS. However, extensive cohort studies are lacking to establish consensus cut-offs, notably to rule out non-MS autoimmune CNS disorders. Our objectives were to (1) determine diagnostic performances of CSF KFLC, KFLC index, and KFLC intrathecal fraction (IF) threshold values that allow us to separate MS from different CNS disorder control populations and compare them with oligoclonal bands' (OCB) performances and (2) to identify independent factors associated with KFLC quantification in MS.MethodsWe conducted a retrospective multicenter study involving 13 French MS centers. Patients were included if they had a noninfectious and nontumoral CNS disorder, eligible data concerning CSF and serum KFLC, albumin, and OCB. Patients were classified into 4 groups according to their diagnosis: MS, clinically isolated syndrome (CIS), other inflammatory CNS disorders (OIND), and noninflammatory CNS disorder controls (NINDC).ResultsOne thousand six hundred twenty-one patients were analyzed (675 MS, 90 CIS, 297 OIND, and 559 NINDC). KFLC index and KFLC IF had similar performances in diagnosing MS from nonselected controls and OIND (p= 0.123 andp= 0.991 for area under the curve [AUC] comparisons) and performed better than CSF KFLC (p< 0.001 for all AUC comparisons). A KFLC index of 8.92 best separated MS/CIS from the entire nonselected control population, with better performances than OCB (p< 0.001 for AUC comparison). A KFLC index of 11.56 best separated MS from OIND, with similar performances than OCB (p= 0.065). In the multivariate analysis model, female gender (p= 0.003), young age (p= 0.013), and evidence of disease activity (p< 0.001) were independent factors associated with high KFLC index values in patients with MS, whereas MS phenotype, immune-modifying treatment use at sampling, and the FLC analyzer type did not influence KFLC index.DiscussionKFLC biomarkers are efficient tools to separate patients with MS from controls, even when compared with other patients with CNS autoimmune disorder. Given these results, we suggest using KFLC index or KFLC IF as a criterion to diagnose MS.Classification of EvidenceThis study provides Class III evidence that KFLC index or IF can be used to differentiate patients with MS from nonselected controls and from patients with other autoimmune CNS disorders.
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13
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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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14
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Hannich MJ, Abdullah MR, Budde K, Petersmann A, Nauck M, Dressel A, Süße M. A New Laboratory Workflow Integrating the Free Light Chains Kappa Quotient into Routine CSF Analysis. Biomolecules 2022; 12:1690. [PMID: 36421703 PMCID: PMC9687331 DOI: 10.3390/biom12111690] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 11/11/2022] [Accepted: 11/14/2022] [Indexed: 11/14/2023] Open
Abstract
We performed this cohort study to test whether further analysis of intrathecal inflammation can be omitted if the free light chain kappa (FLCκ) quotient is within the reference range in the corresponding quotient diagram. FLCκ concentrations were measured in serum and cerebrospinal fluid (CSF) samples. The intrathecal fraction (IF) of FLCκ was calculated in relation to the hyperbolic reference range. 679 patient samples were used as a discovery cohort (DC). The sensitivity and negative predictive value (NPV) of the FLCκ-IF for the detection of an intrathecal humoral immune response (CSF-specific OCB and/or IF IgG/A/M > 0%) was determined. Based on these data, a diagnostic algorithm was developed and prospectively validated in an independent validation cohort (VC, n = 278). The sensitivity of the FLCκ-IF was 98% in the DC and 97% in the VC with a corresponding NPV of 99%. The use of the FLCκ-IF as a first line analysis would have reduced the Ig and OCB analysis by 62% in the DC and 74% in the VC. The absence of a FLCκ-IF predicts the absence of a humoral intrathecal immune response with a very high NPV of 99%. Thus, integration of our proposed algorithm into routine CSF laboratory analysis could help to reduce analytical efforts.
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Affiliation(s)
- Malte Johannes Hannich
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, 17475 Greifswald, Germany
- Friedrich Loeffler-Institute of Medical Microbiology, University Medicine Greifswald, 17475 Greifswald, Germany
| | - Mohammed R. Abdullah
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, 17475 Greifswald, Germany
| | - Kathrin Budde
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, 17475 Greifswald, Germany
| | - Astrid Petersmann
- Institute for Clinical Chemistry and Laboratory Medicine, University Oldenburg, 26133 Oldenburg, Germany
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, 17475 Greifswald, Germany
| | - Alexander Dressel
- Department of Neurology, Carl-Thiem Klinikum Cottbus, 03048 Cottbus, Germany
| | - Marie Süße
- Department of Neurology, University Medicine Greifswald, 17475 Greifswald, Germany
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15
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Evidence for an Intrathecal Immunoglobulin Synthesis by Kappa Free Light Chains in Neurological Patients with an Isolated Band in Isoelectric Focusing. Biomedicines 2022; 10:biomedicines10092202. [PMID: 36140302 PMCID: PMC9496576 DOI: 10.3390/biomedicines10092202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Revised: 09/02/2022] [Accepted: 09/03/2022] [Indexed: 11/17/2022] Open
Abstract
The gold standard for detecting intrathecal immunoglobulin synthesis is the determination of the oligoclonal band (OCB) in the cerebrospinal fluid (CSF) using isoelectric focusing (IEF). Controversy still exists regarding the significance of an isolated band in the CSF. A highly promising alternative method for the assessment of intrathecal inflammation is the quantification of kappa free light chains (k-FLC). Our aim was to evaluate the clinical significance of quantitative k-FLC in patients with an isolated band in the CSF. Using the Human Kappa Freelite Mx Kit on a turbidimetric Optilite®, we quantified the k-FLCs in paired CSF and serum samples in 47 patients with a single band in IEF. We classified patients into 27× inflammatory neurological disorders (IND), 2× peripheral inflammatory neurological disorders (PIND), 9× non-inflammatory neurological disorders (NIND) and 9× symptomatic controls (SC) based on their medical diagnosis. k-FLC were below the lower measurement limit of the analyser (LML) in all SC and PIND, as well as in 8 out of 9 NIND and 11 IND. Only 1 NIND and 16 IND were above the LML, and of these, only 14 IND were above the upper discrimination limit (Qlim). A neuroinflammatory nature of the diseases can be indicated in many cases by positive k-FLC in patients with an isolated band in IEF. The measurement of k-FLC can support the diagnosis of neurological diseases if they are included in the routine work-up.
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Diagnostic Cerebrospinal Fluid Biomarker in Early and Late Onset Multiple Sclerosis. Biomedicines 2022; 10:biomedicines10071629. [PMID: 35884934 PMCID: PMC9312908 DOI: 10.3390/biomedicines10071629] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 07/01/2022] [Accepted: 07/04/2022] [Indexed: 11/28/2022] Open
Abstract
Background: The intrathecal humoral response is the characteristic diagnostic finding in the cerebrospinal fluid (CSF) analysis of patients with multiple sclerosis (MS). Although the average age of MS patients increases, little is known about the sensitivity of diagnostic markers in elderly MS patients. Methods: In this retrospective two-center study, intrathecal free light chains kappa fraction (FLCk IF) and oligoclonal bands (OCB) were studied in a large cohort of patients with early and late onset relapsing (RMS) and progressive (PMS) MS. Furthermore, the humoral immune profile in CSF was analyzed, including the polyspecific intrathecal immune response measured as the MRZ reaction. Results: While the frequency of CSF-specific OCB did not differ between early and late onset RMS and PMS, the sensitivity of positive FLCk IF and absolute FLCk IF values were lower in PMS. The positivity of the MRZ reaction was equally frequent in early and late onset RMS and PMS. PMS patients had higher local IgA concentrations than RMS patients (p = 0.0123). Conclusions: OCB are slightly superior to FLCk IF in progressive MS in terms of sensitivity for detecting intrathecal immunoglobulin synthesis. The MRZ reaction, as the most specific parameter for MS, is also applicable in patients with late onset and progressive MS.
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Arrambide G, Espejo C, Carbonell-Mirabent P, Dieli-Crimi R, Rodríguez-Barranco M, Castillo M, Auger C, Cárdenas-Robledo S, Castilló J, Cobo-Calvo Á, Galán I, Midaglia L, Nos C, Otero-Romero S, Río J, Rodríguez-Acevedo B, Ruiz-Ortiz M, Salerno A, Tagliani P, Tur C, Vidal-Jordana A, Zabalza A, Sastre-Garriga J, Rovira A, Comabella M, Hernández-González M, Montalban X, Tintore M. The kappa free light chain index and oligoclonal bands have a similar role in the McDonald criteria. Brain 2022; 145:3931-3942. [PMID: 35727945 DOI: 10.1093/brain/awac220] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 05/10/2022] [Accepted: 05/29/2022] [Indexed: 11/13/2022] Open
Abstract
Intrathecal production of kappa free light chains (KFLC) occurs in multiple sclerosis and can be measured using the KFLC index. KFLC index values can be determined more easily than oligoclonal bands (OB) detection and seem more sensitive than the immunoglobulin (Ig)G index to diagnose multiple sclerosis. We assessed the value of OB, KFLC index cut-offs 5.9, 6.6, and 10.61, and IgG index to diagnose multiple sclerosis with prospectively acquired data from a clinically isolated syndrome (CIS) inception cohort. We selected patients with sufficient data to determine OB positivity, MRI dissemination in space (DIS) and time (DIT), IgG index, and sufficient quantities of paired CSF and blood samples to determine KFLC indexes (n = 214). We used Kendall´s Tau coefficient to estimate concordance; calculated the number of additional diagnoses when adding each positive index to DIS and positive OB; performed survival analyses for OB and each index with the outcomes second attack and 2017 MRI DIS and DIT; and estimated the diagnostic properties of OB and the different indexes for the abovementioned outcomes at five years. OB were positive in 138 patients (64.5%), KFLC-5.9 in 136 (63.6%), KFLC-6.6 in 135 (63.1%), KFLC-10.61 in 126 (58.9%) and IgG index in 101 (47.2%). The highest concordance was between OB and KFLC-6.6 (τ=0.727) followed by OB and KFLC-5.9 (τ=0.716). Combining DIS plus OB or KFLC-5.9 increased the number of diagnosed patients by 11 (5.1%), with KFLC-6.6 by 10 (4.7%), with KFLC-10.61 by 9 (4.2%), and with IgG index by 3 (1.4%). Patients with positive OB or indexes reached second attack and MRI DIS and DIT faster than patients with negative results (P < 0.0001 except IgG index in second attack: P = 0.016). In multivariable Cox models [aHR (95% CI)], the risk for second attack was very similar between KFLC-5.9 [2.0 (0.9-4.3), P = 0.068] and KFLC-6.6 [2.1 (1.1-4.2), P = 0.035]. The highest risk for MRI DIS and DIT was demonstrated with KFLC-5.9 [4.9 (2.5-9.6), P < 0.0001], followed by KFLC-6.6 [3.4 (1.9-6.3), P < 0.0001]. KFLC-5.9 and KFLC-6.6 had a slightly higher diagnostic accuracy than OB for second attack (70.5, 71.1, and 67.8) and MRI DIS and DIT (85.7, 85.1, and 81.0). KFLC indexes 5.9 and 6.6 performed slightly better than OB to assess multiple sclerosis risk and in terms of diagnostic accuracy. Given the concordance between OB and these indexes, we suggest using DIS plus positive OB or positive KFLC index as a modified criterion to diagnose multiple sclerosis.
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Affiliation(s)
- Georgina Arrambide
- Servei de Neurologia-Neuroimmunologia. Centre d'Esclerosi Múltiple de Catalunya, (Cemcat). Vall d'Hebron Institut de Recerca, Vall d'Hebron Hospital Universitari. Universitat Autònoma de Barcelona. 08035 Barcelona, Spain
| | - Carmen Espejo
- Servei de Neurologia-Neuroimmunologia. Centre d'Esclerosi Múltiple de Catalunya, (Cemcat). Vall d'Hebron Institut de Recerca, Vall d'Hebron Hospital Universitari. Universitat Autònoma de Barcelona. 08035 Barcelona, Spain
| | - Pere Carbonell-Mirabent
- Servei de Neurologia-Neuroimmunologia. Centre d'Esclerosi Múltiple de Catalunya, (Cemcat). Vall d'Hebron Institut de Recerca, Vall d'Hebron Hospital Universitari. Universitat Autònoma de Barcelona. 08035 Barcelona, Spain
| | - Romina Dieli-Crimi
- Immunology Department, Vall d'Hebron Hospital Universitari. 08035 Barcelona, Spain
| | - Marta Rodríguez-Barranco
- Servei de Neurologia-Neuroimmunologia. Centre d'Esclerosi Múltiple de Catalunya, (Cemcat). Vall d'Hebron Institut de Recerca, Vall d'Hebron Hospital Universitari. Universitat Autònoma de Barcelona. 08035 Barcelona, Spain
| | - Mireia Castillo
- Servei de Neurologia-Neuroimmunologia. Centre d'Esclerosi Múltiple de Catalunya, (Cemcat). Vall d'Hebron Institut de Recerca, Vall d'Hebron Hospital Universitari. Universitat Autònoma de Barcelona. 08035 Barcelona, Spain
| | - Cristina Auger
- Section of Neuroradiology and Magnetic Resonance Unit. Department of Radiology (IDI). Vall d'Hebron Institut de Recerca, Vall d'Hebron Hospital Universitari. Universitat Autònoma de Barcelona. 08035 Barcelona, Spain
| | - Simón Cárdenas-Robledo
- Servei de Neurologia-Neuroimmunologia. Centre d'Esclerosi Múltiple de Catalunya, (Cemcat). Vall d'Hebron Institut de Recerca, Vall d'Hebron Hospital Universitari. Universitat Autònoma de Barcelona. 08035 Barcelona, Spain.,Department of Neurology, Multiple Sclerosis Center (CEMHUN), Hospital Universitario Nacional de Colombia. 111321 Bogotá, Colombia
| | - Joaquín Castilló
- Servei de Neurologia-Neuroimmunologia. Centre d'Esclerosi Múltiple de Catalunya, (Cemcat). Vall d'Hebron Institut de Recerca, Vall d'Hebron Hospital Universitari. Universitat Autònoma de Barcelona. 08035 Barcelona, Spain
| | - Álvaro Cobo-Calvo
- Servei de Neurologia-Neuroimmunologia. Centre d'Esclerosi Múltiple de Catalunya, (Cemcat). Vall d'Hebron Institut de Recerca, Vall d'Hebron Hospital Universitari. Universitat Autònoma de Barcelona. 08035 Barcelona, Spain
| | - Ingrid Galán
- Servei de Neurologia-Neuroimmunologia. Centre d'Esclerosi Múltiple de Catalunya, (Cemcat). Vall d'Hebron Institut de Recerca, Vall d'Hebron Hospital Universitari. Universitat Autònoma de Barcelona. 08035 Barcelona, Spain
| | - Luciana Midaglia
- Servei de Neurologia-Neuroimmunologia. Centre d'Esclerosi Múltiple de Catalunya, (Cemcat). Vall d'Hebron Institut de Recerca, Vall d'Hebron Hospital Universitari. Universitat Autònoma de Barcelona. 08035 Barcelona, Spain
| | - Carlos Nos
- Servei de Neurologia-Neuroimmunologia. Centre d'Esclerosi Múltiple de Catalunya, (Cemcat). Vall d'Hebron Institut de Recerca, Vall d'Hebron Hospital Universitari. Universitat Autònoma de Barcelona. 08035 Barcelona, Spain
| | - Susana Otero-Romero
- Servei de Neurologia-Neuroimmunologia. Centre d'Esclerosi Múltiple de Catalunya, (Cemcat). Vall d'Hebron Institut de Recerca, Vall d'Hebron Hospital Universitari. Universitat Autònoma de Barcelona. 08035 Barcelona, Spain
| | - Jordi Río
- Servei de Neurologia-Neuroimmunologia. Centre d'Esclerosi Múltiple de Catalunya, (Cemcat). Vall d'Hebron Institut de Recerca, Vall d'Hebron Hospital Universitari. Universitat Autònoma de Barcelona. 08035 Barcelona, Spain
| | - Breogán Rodríguez-Acevedo
- Servei de Neurologia-Neuroimmunologia. Centre d'Esclerosi Múltiple de Catalunya, (Cemcat). Vall d'Hebron Institut de Recerca, Vall d'Hebron Hospital Universitari. Universitat Autònoma de Barcelona. 08035 Barcelona, Spain
| | - Mariano Ruiz-Ortiz
- Servei de Neurologia-Neuroimmunologia. Centre d'Esclerosi Múltiple de Catalunya, (Cemcat). Vall d'Hebron Institut de Recerca, Vall d'Hebron Hospital Universitari. Universitat Autònoma de Barcelona. 08035 Barcelona, Spain.,Department of Neurology, Hospital Universitario Doce de Octubre, 28041 Madrid, Spain
| | - Annalaura Salerno
- Section of Neuroradiology and Magnetic Resonance Unit. Department of Radiology (IDI). Vall d'Hebron Institut de Recerca, Vall d'Hebron Hospital Universitari. Universitat Autònoma de Barcelona. 08035 Barcelona, Spain
| | - Paula Tagliani
- Servei de Neurologia-Neuroimmunologia. Centre d'Esclerosi Múltiple de Catalunya, (Cemcat). Vall d'Hebron Institut de Recerca, Vall d'Hebron Hospital Universitari. Universitat Autònoma de Barcelona. 08035 Barcelona, Spain
| | - Carmen Tur
- Servei de Neurologia-Neuroimmunologia. Centre d'Esclerosi Múltiple de Catalunya, (Cemcat). Vall d'Hebron Institut de Recerca, Vall d'Hebron Hospital Universitari. Universitat Autònoma de Barcelona. 08035 Barcelona, Spain
| | - Angela Vidal-Jordana
- Servei de Neurologia-Neuroimmunologia. Centre d'Esclerosi Múltiple de Catalunya, (Cemcat). Vall d'Hebron Institut de Recerca, Vall d'Hebron Hospital Universitari. Universitat Autònoma de Barcelona. 08035 Barcelona, Spain
| | - Ana Zabalza
- Servei de Neurologia-Neuroimmunologia. Centre d'Esclerosi Múltiple de Catalunya, (Cemcat). Vall d'Hebron Institut de Recerca, Vall d'Hebron Hospital Universitari. Universitat Autònoma de Barcelona. 08035 Barcelona, Spain
| | - Jaume Sastre-Garriga
- Servei de Neurologia-Neuroimmunologia. Centre d'Esclerosi Múltiple de Catalunya, (Cemcat). Vall d'Hebron Institut de Recerca, Vall d'Hebron Hospital Universitari. Universitat Autònoma de Barcelona. 08035 Barcelona, Spain
| | - Alex Rovira
- Section of Neuroradiology and Magnetic Resonance Unit. Department of Radiology (IDI). Vall d'Hebron Institut de Recerca, Vall d'Hebron Hospital Universitari. Universitat Autònoma de Barcelona. 08035 Barcelona, Spain
| | - Manuel Comabella
- Servei de Neurologia-Neuroimmunologia. Centre d'Esclerosi Múltiple de Catalunya, (Cemcat). Vall d'Hebron Institut de Recerca, Vall d'Hebron Hospital Universitari. Universitat Autònoma de Barcelona. 08035 Barcelona, Spain
| | - Manuel Hernández-González
- Immunology Department, Vall d'Hebron Hospital Universitari. 08035 Barcelona, Spain.,Diagnostic Immunology Research Group, Vall d'Hebron Institut de Recerca, Vall d'Hebron Hospital Universitari. Universitat Autònoma de Barcelona. 08035 Barcelona, Spain
| | - Xavier Montalban
- Servei de Neurologia-Neuroimmunologia. Centre d'Esclerosi Múltiple de Catalunya, (Cemcat). Vall d'Hebron Institut de Recerca, Vall d'Hebron Hospital Universitari. Universitat Autònoma de Barcelona. 08035 Barcelona, Spain
| | - Mar Tintore
- Servei de Neurologia-Neuroimmunologia. Centre d'Esclerosi Múltiple de Catalunya, (Cemcat). Vall d'Hebron Institut de Recerca, Vall d'Hebron Hospital Universitari. Universitat Autònoma de Barcelona. 08035 Barcelona, Spain
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18
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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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19
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Zeman D, Revendova K, Bunganic R, Ryzi M, Masarovicova P, Kusnierova P, Kotrlova V, Hradilek P, Stejskal D, Thon V. Analysis of cerebrospinal fluid cells by flow cytometry: Comparison to conventional cytology. Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub 2022. [PMID: 35510294 DOI: 10.5507/bp.2022.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
AIMS This study compared the results obtained by basic immunophenotyping of cerebrospinal fluid (CSF) cells by flow cytometry (FC) to the results of conventional cytology and evaluated the possibility of detailed analyses of CSF B-cell subpopulations. METHODS Samples from 42 patients were examined by conventional cytology (native and/or pre-centrifuged CSF) and FC. The results from 15 patients without evidence of organic neurological disease were used to estimate reference ranges. RESULTS Pre-centrifugated CSF had significantly higher cell yield on the cytologic slide, but cell subpopulation percentages were altered; the percentage of lymphocytes was significantly higher and monocytes significantly lower compared to both native CSF slides and FC. The percentage of granulocytes was higher in FC compared to cytology. For leukocyte count, the following reference ranges were estimated for Fuchs-Rosenthal chamber (FR) counting and FC, respectively: leukocytes ≤4.7/μL and ≤2.5/μL, lymphocytes ≤4.1/μL and ≤1.8/μL, monocytes ≤1.2/μL and ≤0.9/μL, and granulocytes 0/μL and ≤0.2/μL. The following reference ranges were estimated for basic subpopulations: T-lymphocytes 84.1 - 100%, B lymphocytes 0.0 - 1.5%, NK cells 0.0 - 6.3%, NKT cells 0 - 9.5%, and CD3+CD4+/CD3+CD8+ 0.8 - 4.9. Using a volume of 1.2-2.4 mL, the number of B lymphocytes was too low (<20) in samples with ≤2.7 cells/μL in the FR. CONCLUSIONS Even normal CSF samples are amenable to basic mononuclear cell subpopulation analysis by FC. However, analysis of the B-cell subpopulations requires either a larger sample volume or selection of samples with ≥ 3 cells/μL.
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Affiliation(s)
- David Zeman
- Department of Clinical Neurosciences, Faculty of Medicine, University of Ostrava, Czech Republic.,Department of Biomedical Sciences, Faculty of Medicine, University of Ostrava, Czech Republic.,Institute of Laboratory Medicine, University Hospital Ostrava, Czech Republic.,Clinic of Neurology, University Hospital Ostrava, Czech Republic
| | - Kamila Revendova
- Department of Clinical Neurosciences, Faculty of Medicine, University of Ostrava, Czech Republic.,Clinic of Neurology, University Hospital Ostrava, Czech Republic
| | - Radovan Bunganic
- Clinic of Neurology, University Hospital Ostrava, Czech Republic
| | - Marketa Ryzi
- Institute of Laboratory Medicine, University Hospital Ostrava, Czech Republic
| | - Petra Masarovicova
- Institute of Laboratory Medicine, University Hospital Ostrava, Czech Republic
| | - Pavlina Kusnierova
- Department of Biomedical Sciences, Faculty of Medicine, University of Ostrava, Czech Republic.,Institute of Laboratory Medicine, University Hospital Ostrava, Czech Republic
| | - Vera Kotrlova
- Department of Biomedical Sciences, Faculty of Medicine, University of Ostrava, Czech Republic.,Institute of Laboratory Medicine, University Hospital Ostrava, Czech Republic
| | - Pavel Hradilek
- Department of Clinical Neurosciences, Faculty of Medicine, University of Ostrava, Czech Republic.,Clinic of Neurology, University Hospital Ostrava, Czech Republic
| | - David Stejskal
- Department of Biomedical Sciences, Faculty of Medicine, University of Ostrava, Czech Republic.,Institute of Laboratory Medicine, University Hospital Ostrava, Czech Republic
| | - Vojtech Thon
- Department of Biomedical Sciences, Faculty of Medicine, University of Ostrava, Czech Republic.,RECETOX, Faculty of Science, Masaryk University, Brno, Czech Republic
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Levraut M, Landes C, Mondot L, Cohen M, Bresch S, Brglez V, Seitz-Polski B, Lebrun-Frenay C. Kappa Free Light Chains, Soluble Interleukin-2 Receptor, and Interleukin-6 Help Explore Patients Presenting With Brain White Matter Hyperintensities. Front Immunol 2022; 13:864133. [PMID: 35401550 PMCID: PMC8990749 DOI: 10.3389/fimmu.2022.864133] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 03/01/2022] [Indexed: 12/17/2022] Open
Abstract
Introduction Many patients are referred to multiple sclerosis (MS) tertiary centers to manage brain white matter hyperintensities (WMH). Multiple diagnoses can match in such situations, and we lack proper tools to diagnose complex cases. Objective This study aimed to prospectively analyze and correlate with the final diagnosis, cerebrospinal fluid (CSF) interleukin (IL)-1β, soluble IL-2 receptor (CD25), IL-6, IL-10, and kappa free light chains (KFLC) concentrations in patients presenting with brain WMH. Methods All patients over 18 years addressed to our MS tertiary center for the diagnostic workup of brain WMH were included from June 1, 2020, to June 1, 2021. Patients were separated into three groups—MS and related disorder (MSARD), other inflammatory neurological disorder (OIND), and non-inflammatory neurological disorder (NIND) groups—according to clinical presentation, MRI characteristics, and biological workup. Results A total of 176 patients (129 women, mean age 45.8 ± 14.7 years) were included. The diagnosis was MSARD (n = 88), OIND (n = 35), and NIND (n = 53). Median CSF KFLC index and KFLC intrathecal fraction (IF) were higher in MSARD than in the OIND and NIND groups; p < 0.001 for all comparisons. CSF CD25 and IL-6 concentrations were higher in the OIND group than in both the MSARD and NIND groups; p < 0.001 for all comparisons. KFLC index could rule in MSARD when compared to NIND (sensitivity, 0.76; specificity, 0.91) or OIND (sensitivity, 0.73; specificity, 0.76). These results were similar to those with oligoclonal bands (sensitivity, 0.59; specificity, 0.98 compared to NIND; sensitivity, 0.59; specificity, 0.88 compared to OIND). In contrast, elevated CSF CD25 and IL-6 could rule out MSARD when compared to OIND (sensitivity, 0.58 and 0.88; specificity, 0.95 and 0.74, respectively). Discussion Our results show that, as OCBs, KFLC biomarkers are helpful tools to rule in MSARD, whereas elevated CSF CD25 and IL-6 rule out MSARD. Interestingly, CSF IL-6 concentration could help identify neuromyelitis optica spectrum disorder, myelin oligodendrocyte glycoprotein antibody-associated disease, and central nervous system (CNS) vasculitis. These results need to be confirmed within more extensive and multicentric studies. Still, they sustain that KFLC, CSF CD25, and CSF IL-6 could be reliable biomarkers in brain WMH diagnostic workup for differentiating MSARD from other brain inflammatory MS mimickers.
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Affiliation(s)
- Michael Levraut
- URRIS-UR2CA, Centre Hospitalier Universitaire de Nice, Nice, France.,Département de Médecine Interne, Centre Hospitalier Universitaire de Nice, Nice, France
| | - Cassandre Landes
- URRIS-UR2CA, Centre Hospitalier Universitaire de Nice, Nice, France
| | - Lydiane Mondot
- URRIS-UR2CA, Centre Hospitalier Universitaire de Nice, Nice, France.,Département de Neurologie, CRC SEP, Centre Hospitalier Universitaire de Nice, Nice, France.,Département de Radiologie, Centre Hospitalier Universitaire de Nice, Nice, France
| | - Mikael Cohen
- URRIS-UR2CA, Centre Hospitalier Universitaire de Nice, Nice, France.,Département de Neurologie, CRC SEP, Centre Hospitalier Universitaire de Nice, Nice, France
| | - Saskia Bresch
- Département de Neurologie, CRC SEP, Centre Hospitalier Universitaire de Nice, Nice, France
| | - Vesna Brglez
- ImmunoPredict-UR2CA, Centre Hospitalier Universitaire de Nice, Nice, France.,Laboratoire d'Immunologie, Centre Hospitalier Universitaire de Nice, Nice, France
| | - Barbara Seitz-Polski
- ImmunoPredict-UR2CA, Centre Hospitalier Universitaire de Nice, Nice, France.,Laboratoire d'Immunologie, Centre Hospitalier Universitaire de Nice, Nice, France
| | - Christine Lebrun-Frenay
- URRIS-UR2CA, Centre Hospitalier Universitaire de Nice, Nice, France.,Département de Neurologie, CRC SEP, Centre Hospitalier Universitaire de Nice, Nice, France
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21
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Kappa Free Light Chains in Cerebrospinal Fluid in Inflammatory and Non-Inflammatory Neurological Diseases. Brain Sci 2022; 12:brainsci12040475. [PMID: 35448006 PMCID: PMC9030640 DOI: 10.3390/brainsci12040475] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 04/01/2022] [Accepted: 04/02/2022] [Indexed: 11/17/2022] Open
Abstract
Background: Oligoclonal bands represent intrathecal immunoglobulin G (IgG) synthesis and play an important role in the diagnosis of multiple sclerosis (MS). Kappa free light chains (KFLC) are increasingly recognized as an additional biomarker for intrathecal Ig synthesis. However, there are limited data on KFLC in neurological diseases other than MS. Methods: This study, conducted at two centers, retrospectively enrolled 346 non-MS patients. A total of 182 patients were diagnosed with non-inflammatory and 84 with inflammatory neurological diseases other than MS. A further 80 patients were classified as symptomatic controls. Intrathecal KFLC production was determined using different approaches: KFLC index, Reiber’s diagram, Presslauer’s exponential curve, and Senel’s linear curve. Results: Matching results of oligoclonal bands and KFLC (Reiber’s diagram) were frequently observed (93%). The Reiber’s diagram for KFLC detected intrathecal KFLC synthesis in an additional 7% of the patient samples investigated (4% non-inflammatory; 3% inflammatory), which was not found by oligoclonal band detection. Conclusions: The determination of both biomarkers (KFLC and oligoclonal bands) is recommended for routine diagnosis and differentiation of non-inflammatory and inflammatory neurological diseases. Due to the high sensitivity and physiological considerations, the assessment of KFLC in the Reiber’s diagram should be preferred to other evaluation methods.
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22
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Saadeh RS, Bryant SC, McKeon A, Weinshenker B, Murray DL, Pittock SJ, Willrich MAV. CSF Kappa Free Light Chains: Cutoff Validation for Diagnosing Multiple Sclerosis. Mayo Clin Proc 2022; 97:738-751. [PMID: 34893322 DOI: 10.1016/j.mayocp.2021.09.014] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 08/09/2021] [Accepted: 09/09/2021] [Indexed: 11/28/2022]
Abstract
OBJECTIVE To determine and validate a cerebrospinal fluid (CSF) κ (KCSF) value statistically comparable to detection of CSF-specific oligoclonal bands (OCB) to support the diagnosis of multiple sclerosis (MS). PATIENTS AND METHODS A total of 702 retrospective and 657 prospective paired CSF/serum samples from residual waste samples of physician-ordered OCB tests were obtained and tested for KCSF at Mayo Clinic. Charts were reviewed by a neurologist blinded to KCSF results. Specificity and sensitivity for MS diagnosis were evaluated to establish a diagnostic cutoff value for KCSF in the retrospective cohort and then validated in the prospective cohort. RESULTS Retrospective and prospective subgroups, respectively, included MS (n=85, 70), non-MS (n=615, 585), and undetermined diagnosis (excluded, n=2, 2). The retrospective data established a KCSF cutoff value of 0.1 mg/dL to be comparable to OCB testing. In the retrospective subgroup, KCSF vs OCB sensitivities for diagnosis of MS were 68.2% vs 75.0% (P=.08) and specificities were 86.1% vs 87.6% (P=.27). The KCSF area under the receiver operating characteristic curve was 0.772 (95% CI, 0.720 to 0.824), and for OCB was 0.813 (95% CI, 0.764 to 0.861). The prospective cohort was then used to validate the diagnostic KCSF value of 0.1 mg/dL; KCSF vs OCB sensitivities were 78.6% for both (P>.99) and specificities were 87.1% vs 89.4% (P=.09). CONCLUSION The KCSF value of 0.1 mg/dL is a valid alternative to OCB testing, offering a standardized quantitative measure, eliminating human error, reducing cost and turnaround time, with no significant difference in sensitivity and specificity. This study provides class I evidence that a KCSF value of 0.1 mg/dL can be used in place of OCB testing to support the diagnosis of MS.
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Affiliation(s)
- Ruba S Saadeh
- Departments of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN; Neurology, Mayo Clinic, Rochester, MN
| | | | - Andrew McKeon
- Departments of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN; Neurology, Mayo Clinic, Rochester, MN
| | | | - David L Murray
- Departments of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Sean J Pittock
- Departments of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN; Neurology, Mayo Clinic, Rochester, MN
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23
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Decreased Intrathecal Concentrations of Free Light Chains Kappa in Multiple Sclerosis Patients Taking Very High Effective Disease-Modifying Treatment. Diagnostics (Basel) 2022; 12:diagnostics12030720. [PMID: 35328273 PMCID: PMC8947149 DOI: 10.3390/diagnostics12030720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 03/11/2022] [Accepted: 03/13/2022] [Indexed: 11/30/2022] Open
Abstract
Free light chains kappa (FLCκ) in cerebrospinal fluid (CSF) are a part of the intrathecal immune response. This observational study was conducted to investigate the effects of different disease-modifying therapies (DMT) on the humoral intrathecal immune response in the CSF of patients with multiple sclerosis (MS). FLCκ were analyzed in CSF and serum samples from MS patients taking DMT (n = 60) and those in a control cohort of treatment-naïve MS patients (n = 90). DMT was classified as moderately effective (including INFß-1a, INFß-1b, glatiramer acetate, dimethyl fumarate, teriflunomide, triamcinolone); highly effective (including fingolimod, daclizumab) and very highly effective (alemtuzumab, natalizumab, rituximab/ocrelizumab, mitoxantrone). FLCκ were measured using a nephelometric FLCκ kit. Intrathecal FLCκ and IgG concentrations were assessed in relation to the hyperbolic reference range in quotient diagrams. Intrathecal FLCκ concentrations and IgG concentrations were significantly lower in samples from the cohort of MS patients taking very highly effective DMT than in samples from the cohort of MS patients taking highly effective DMT and in the treatment-naïve cohort (FLCκ: p = 0.004, p < 0.0001 respectively/IgG: p = 0.013; p = 0.021). The reduction in FLCκ could contribute to an anti-inflammatory effect in the CNS through this mechanism. There was no difference in the appearance of CSF-specific oligoclonal bands (p = 0.830). Longitudinal analyses are required to confirm these results.
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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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Jarius S, Pache F, Körtvelyessy P, Jelčić I, Stettner M, Franciotta D, Keller E, Neumann B, Ringelstein M, Senel M, Regeniter A, Kalantzis R, Willms JF, Berthele A, Busch M, Capobianco M, Eisele A, Reichen I, Dersch R, Rauer S, Sandner K, Ayzenberg I, Gross CC, Hegen H, Khalil M, Kleiter I, Lenhard T, Haas J, Aktas O, Angstwurm K, Kleinschnitz C, Lewerenz J, Tumani H, Paul F, Stangel M, Ruprecht K, Wildemann B. Cerebrospinal fluid findings in COVID-19: a multicenter study of 150 lumbar punctures in 127 patients. J Neuroinflammation 2022; 19:19. [PMID: 35057809 PMCID: PMC8771621 DOI: 10.1186/s12974-021-02339-0] [Citation(s) in RCA: 74] [Impact Index Per Article: 37.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 12/02/2021] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Comprehensive data on the cerebrospinal fluid (CSF) profile in patients with COVID-19 and neurological involvement from large-scale multicenter studies are missing so far. OBJECTIVE To analyze systematically the CSF profile in COVID-19. METHODS Retrospective analysis of 150 lumbar punctures in 127 patients with PCR-proven COVID-19 and neurological symptoms seen at 17 European university centers RESULTS: The most frequent pathological finding was blood-CSF barrier (BCB) dysfunction (median QAlb 11.4 [6.72-50.8]), which was present in 58/116 (50%) samples from patients without pre-/coexisting CNS diseases (group I). QAlb remained elevated > 14d (47.6%) and even > 30d (55.6%) after neurological onset. CSF total protein was elevated in 54/118 (45.8%) samples (median 65.35 mg/dl [45.3-240.4]) and strongly correlated with QAlb. The CSF white cell count (WCC) was increased in 14/128 (11%) samples (mostly lympho-monocytic; median 10 cells/µl, > 100 in only 4). An albuminocytological dissociation (ACD) was found in 43/115 (37.4%) samples. CSF L-lactate was increased in 26/109 (24%; median 3.04 mmol/l [2.2-4]). CSF-IgG was elevated in 50/100 (50%), but was of peripheral origin, since QIgG was normal in almost all cases, as were QIgA and QIgM. In 58/103 samples (56%) pattern 4 oligoclonal bands (OCB) compatible with systemic inflammation were present, while CSF-restricted OCB were found in only 2/103 (1.9%). SARS-CoV-2-CSF-PCR was negative in 76/76 samples. Routine CSF findings were normal in 35%. Cytokine levels were frequently elevated in the CSF (often associated with BCB dysfunction) and serum, partly remaining positive at high levels for weeks/months (939 tests). Of note, a positive SARS-CoV-2-IgG-antibody index (AI) was found in 2/19 (10.5%) patients which was associated with unusually high WCC in both of them and a strongly increased interleukin-6 (IL-6) index in one (not tested in the other). Anti-neuronal/anti-glial autoantibodies were mostly absent in the CSF and serum (1509 tests). In samples from patients with pre-/coexisting CNS disorders (group II [N = 19]; including multiple sclerosis, JC-virus-associated immune reconstitution inflammatory syndrome, HSV/VZV encephalitis/meningitis, CNS lymphoma, anti-Yo syndrome, subarachnoid hemorrhage), CSF findings were mostly representative of the respective disease. CONCLUSIONS The CSF profile in COVID-19 with neurological symptoms is mainly characterized by BCB disruption in the absence of intrathecal inflammation, compatible with cerebrospinal endotheliopathy. Persistent BCB dysfunction and elevated cytokine levels may contribute to both acute symptoms and 'long COVID'. Direct infection of the CNS with SARS-CoV-2, if occurring at all, seems to be rare. Broad differential diagnostic considerations are recommended to avoid misinterpretation of treatable coexisting neurological disorders as complications of COVID-19.
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Affiliation(s)
- Sven Jarius
- Molecular Neuroimmunology Group, Department of Neurology, University of Heidelberg, Heidelberg, Germany
| | - Florence Pache
- Department of Neurology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Peter Körtvelyessy
- Department of Neurology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- German Center for Neurodegenerative Diseases (DZNE) in Magdeburg, Magdeburg, Germany
| | - Ilijas Jelčić
- Neuroimmunology and Multiple Sclerosis Research Section, Department of Neurology, University Hospital Zurich, Zurich, Switzerland
| | - Mark Stettner
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Medicine Essen, University of Duisburg-Essen, Essen, Germany
| | | | - Emanuela Keller
- Neurocritical Care Unit, Department of Neurosurgery and Institute of Intensive Care, University Hospital and University of Zurich, Zurich, Switzerland
| | - Bernhard Neumann
- Department of Neurology, University of Regensburg, Regensburg, Germany
- Department of Neurology, DONAUISAR Klinikum Deggendorf, Deggendorf, Germany
| | - Marius Ringelstein
- Department of Neurology, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
- Department of Neurology, Center for Neurology and Neuropsychiatry, LVR-Klinikum, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Makbule Senel
- Department of Neurology, Ulm University, Ulm, Germany
| | - Axel Regeniter
- Medica Medical Laboratories Dr. F. Kaeppeli AG, Zurich, Switzerland
| | - Rea Kalantzis
- Department of Neurology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Jan F. Willms
- Institute of Intensive Care Medicine, University Hospital and University of Zurich, Zurich, Switzerland
| | - Achim Berthele
- Department of Neurology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Markus Busch
- Department of Gastroenterology, Hepatology and Endocrinology, Hannover Medical School, Hannover, Germany
| | - Marco Capobianco
- Regional Referral Multiple Sclerosis Centre, Department of Neurology, University Hospital S. Luigi - Orbassano (I), Orbassano, Italy
| | - Amanda Eisele
- Department of Neurology, University Hospital Zurich, Zurich, Switzerland
| | - Ina Reichen
- Neuroimmunology and Multiple Sclerosis Research Section, Department of Neurology, University Hospital Zurich, Zurich, Switzerland
| | - Rick Dersch
- Clinic of Neurology and Neurophysiology, Medical Center University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Sebastian Rauer
- Clinic of Neurology and Neurophysiology, Medical Center University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Katharina Sandner
- Department of Neurology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Ilya Ayzenberg
- Department of Neurology, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Germany
- Department of Neurology, Sechenov First Moscow State Medical University, Moscow, Russia
| | - Catharina C. Gross
- Department of Neurology with Institute of Translational Neurology, University and University Hospital Münster, Münster, Germany
| | - Harald Hegen
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Michael Khalil
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Ingo Kleiter
- Department of Neurology, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Germany
| | - Thorsten Lenhard
- Neuroinfectiology Group, Department of Neurology, University of Heidelberg, Heidelberg, Germany
| | - Jürgen Haas
- Molecular Neuroimmunology Group, Department of Neurology, University of Heidelberg, Heidelberg, Germany
| | - Orhan Aktas
- Department of Neurology, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Klemens Angstwurm
- Department of Neurology, University of Regensburg, Regensburg, Germany
| | - Christoph Kleinschnitz
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Medicine Essen, University of Duisburg-Essen, Essen, Germany
| | - Jan Lewerenz
- Department of Neurology, Ulm University, Ulm, Germany
| | - Hayrettin Tumani
- Department of Neurology, Ulm University, Ulm, Germany
- Specialty Hospital of Neurology Dietenbronn, Schwendi, Germany
| | - Friedemann Paul
- Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Medicine and Charité—Universitätsmedizin Berlin, Berlin, Germany
| | - Martin Stangel
- Clinical Neuroimmunology and Neurochemistry, Department of Neurology, Hannover Medical School, Hanover, Germany
| | - Klemens Ruprecht
- Department of Neurology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Brigitte Wildemann
- Molecular Neuroimmunology Group, Department of Neurology, University of Heidelberg, Heidelberg, Germany
| | - ; in cooperation with the German Society for Cerebrospinal Fluid Diagnostics and Clinical Neurochemistry
- Molecular Neuroimmunology Group, Department of Neurology, University of Heidelberg, Heidelberg, Germany
- Department of Neurology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- German Center for Neurodegenerative Diseases (DZNE) in Magdeburg, Magdeburg, Germany
- Neuroimmunology and Multiple Sclerosis Research Section, Department of Neurology, University Hospital Zurich, Zurich, Switzerland
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Medicine Essen, University of Duisburg-Essen, Essen, Germany
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Neurocritical Care Unit, Department of Neurosurgery and Institute of Intensive Care, University Hospital and University of Zurich, Zurich, Switzerland
- Department of Neurology, University of Regensburg, Regensburg, Germany
- Department of Neurology, DONAUISAR Klinikum Deggendorf, Deggendorf, Germany
- Department of Neurology, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
- Department of Neurology, Center for Neurology and Neuropsychiatry, LVR-Klinikum, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
- Department of Neurology, Ulm University, Ulm, Germany
- Medica Medical Laboratories Dr. F. Kaeppeli AG, Zurich, Switzerland
- Institute of Intensive Care Medicine, University Hospital and University of Zurich, Zurich, Switzerland
- Department of Neurology, School of Medicine, Technical University of Munich, Munich, Germany
- Department of Gastroenterology, Hepatology and Endocrinology, Hannover Medical School, Hannover, Germany
- Regional Referral Multiple Sclerosis Centre, Department of Neurology, University Hospital S. Luigi - Orbassano (I), Orbassano, Italy
- Department of Neurology, University Hospital Zurich, Zurich, Switzerland
- Clinic of Neurology and Neurophysiology, Medical Center University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Department of Neurology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
- Department of Neurology, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Germany
- Department of Neurology, Sechenov First Moscow State Medical University, Moscow, Russia
- Department of Neurology with Institute of Translational Neurology, University and University Hospital Münster, Münster, Germany
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
- Department of Neurology, Medical University of Graz, Graz, Austria
- Neuroinfectiology Group, Department of Neurology, University of Heidelberg, Heidelberg, Germany
- Specialty Hospital of Neurology Dietenbronn, Schwendi, Germany
- Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Medicine and Charité—Universitätsmedizin Berlin, Berlin, Germany
- Clinical Neuroimmunology and Neurochemistry, Department of Neurology, Hannover Medical School, Hanover, Germany
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26
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Konen FF, Schwenkenbecher P, Wurster U, Jendretzky KF, Möhn N, Gingele S, Sühs KW, Hannich MJ, Grothe M, Witte T, Stangel M, Süße M, Skripuletz T. The Influence of Renal Function Impairment on Kappa Free Light Chains in Cerebrospinal Fluid. J Cent Nerv Syst Dis 2021; 13:11795735211042166. [PMID: 34840504 PMCID: PMC8619759 DOI: 10.1177/11795735211042166] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 08/07/2021] [Indexed: 11/15/2022] Open
Abstract
Background The determination of kappa free light chains (KFLC) in cerebrospinal fluid (CSF) is an upcoming biomarker for the detection of an intrathecal immunoglobulin synthesis. Since renal function impairment leads to altered serum KFLC and albumin concentrations, interpretation of KFLC in CSF may be influenced by these parameters. Methods In this two-center study, the influence of renal function (according to the CKD-EPI creatinine equation) on KFLC and albumin concentrations was investigated in patients with "physiological" (n = 139), "non-inflammatory" (n = 146), and "inflammatory" (n = 172) CSF profiles in respect to the KFLC index and the evaluation in quotient diagrams in reference to the hyperbolic reference range (KFLC IF). Results All sample groups displayed declining KFLC indices and KFLC IF values with decreasing renal function (P-values between <.0001 and .0209). In "inflammatory" CSF profile samples, 15% of the patients presented a KFLC index <5.9 while 10% showed an intrathecal KFLC fraction below QKappa(lim), suggesting possible false negative KFLC results. Conclusions The influence of renal function should be considered while interpreting KFLC results in patients with neuroinflammatory diseases. The interpretation of KFLC in quotient diagrams is less susceptible to renal function impairment than the KFLC index and should be preferentially used.
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Affiliation(s)
- Franz F Konen
- Department of Neurology, Hannover Medical School, Hannover, Germany
| | | | - Ulrich Wurster
- Department of Neurology, Hannover Medical School, Hannover, Germany
| | | | - Nora Möhn
- Department of Neurology, Hannover Medical School, Hannover, Germany
| | - Stefan Gingele
- Department of Neurology, Hannover Medical School, Hannover, Germany
| | | | - Malte J Hannich
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Matthias Grothe
- Department of Neurology, University Medicine Greifswald, Greifswald, Germany
| | - Torsten Witte
- Department of Clinical Immunology & Rheumatology, Hannover Medical School, Hannover, Germany
| | - Martin Stangel
- Department of Neurology, Hannover Medical School, Hannover, Germany
| | - Marie Süße
- Department of Neurology, University Medicine Greifswald, Greifswald, Germany
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27
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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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28
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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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Sanz Diaz CT, de Las Heras Flórez S, Carretero Perez M, Hernández Pérez MÁ, Martín García V. Evaluation of Kappa Index as a Tool in the Diagnosis of Multiple Sclerosis: Implementation in Routine Screening Procedure. Front Neurol 2021; 12:676527. [PMID: 34456842 PMCID: PMC8386692 DOI: 10.3389/fneur.2021.676527] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Accepted: 06/29/2021] [Indexed: 11/13/2022] Open
Abstract
Multiple sclerosis (MS) is an inflammatory demyelinating disease of the central nervous system. Previous studies have shown that cerebrospinal fluid (CSF) kappa free light chains (K-FLCs) may have a role in MS diagnosis. In this regard, the kappa index (K-Index) has demonstrated higher sensitivity, and slightly lower specificity than oligoclonal bands (OCBs), the gold standard for the detection of intrathecal immunoglobulin synthesis, a feature of MS. Here, we evaluated the performance of the K-Index (K-Index = CSF/serum K-FLC divided by CSF/serum albumin) for the differential diagnosis of MS in a cohort of patients with suspected MS. K-FLCs were quantitatively measured in parallel serum and CSF samples by turbidimetry (Freelite Mx reagent on an Optilite system, The Binding Site Group Ltd). From 160 (63.4%) of a total of 252 patients who had K-FLC in CSF <0.03 mg/dl, below the sensitivity limit of the technique, only one had a diagnosis of MS. However, the absence of OCB in this same patient suggested no synthesis of intrathecal immunoglobulin. Globally, MS patients presented significantly higher K-Index levels than patients without an MS diagnosis (66.96 vs. 0.025, respectively; p < 0.0001). In agreement, patients with positive OCB testing also exhibited higher K-Index levels than patients negative for OCB (65.02 vs. 0.024, respectively; p < 0.0001). An optimal K-Index cutoff of 3.045 was defined by receiver operating characteristic (ROC) analysis for screening suspected MS, achieving a higher diagnostic sensitivity and slightly lower specificity than OCB (Sens. 0.9778 and Spec. 0.8629 vs. Sens. 0.8889 and Spec. 0.9086, respectively). A previously reported K-Index cutoff of 6.6 also showed good diagnostic performance (Sens. 0.9333; Spec. 0.8731), validating its power as a diagnostic biomarker for MS. Finally, a time- and cost-effective algorithm for MS screening is proposed that would offer an initial rapid evaluation of the intrathecal immunoglobulin synthesis through the K-FLC in CSF and K-Index analysis, followed by reflexing OCB testing that may be ordered more selectively.
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Affiliation(s)
- Carmen Teresa Sanz Diaz
- Clinical Analysis Laboratory, Hospital Nuestra Señora de Candelaria, Santa Cruz de Tenerife, Spain
| | | | - Mercedes Carretero Perez
- Clinical Analysis Laboratory, Hospital Nuestra Señora de Candelaria, Santa Cruz de Tenerife, Spain
| | | | - Vicente Martín García
- Radiodiagnosis Department, Hospital Nuestra Señora de Candelaria, Santa Cruz de Tenerife, Spain
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30
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Zelzer S, Meinitzer A, Herrmann M, Goessler W, Enko D. A Novel Method for the Determination of Vitamin D Metabolites Assessed at the Blood-Cerebrospinal Fluid Barrier. Biomolecules 2021; 11:biom11091288. [PMID: 34572501 PMCID: PMC8470512 DOI: 10.3390/biom11091288] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Revised: 08/25/2021] [Accepted: 08/26/2021] [Indexed: 11/17/2022] Open
Abstract
The brain’s supply with vitamin D is poorly understood. Therefore, the present study aimed to determine 25-hydroxy vitamin D3 (25(OH)D) and 24,25-dihydroxy vitamin D (24,25(OH)2D3) in serum and cerebrospinal fluid (CSF) from individuals with intact and disturbed brain-CSF-barrier (BCB) function. In 292 pairs of serum and CSF samples the vitamin D metabolites were measured with liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS). CSF/serum ratios (QALB, Q25(OH)D, Q24,25(OH)2D3) were calculated. Median (IQR) serum concentrations of 25(OH)D and 24,25(OH)2D3 were 63.8 (43.4–83.9) nmol/L and 4.2 (2.2–6.2) nmol/L. The CSF concentrations of both metabolites accounted for 3.7 and 3.3% of the respective serum concentrations. Serum 25(OH)D correlated inversely with Q25(OH)D and Q24,25(OH)2D3 implying a more efficient transport of both metabolites across the BCB when the serum concentration of 25(OH)D is low. In patients with BCB dysfunction, the CSF concentrations and the CSF/serum ratios of both vitamin D metabolites were higher than in individuals with intact BCB. The CSF concentrations of 25(OH)D and 24,25(OH)2D3 depend on BCB function and the respective serum concentrations of both metabolites. Higher vitamin D metabolite concentrations in CSF of patients with impaired BCB function may be due to passive diffusion across the BCB.
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Affiliation(s)
- Sieglinde Zelzer
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, 8036 Graz, Austria; (A.M.); (D.E.)
- Correspondence: (S.Z.); (M.H.); Tel.: +43-316-385-13145 (S.Z. & M.H.); Fax: +43-316-385-13430 (S.Z. & M.H.)
| | - Andreas Meinitzer
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, 8036 Graz, Austria; (A.M.); (D.E.)
| | - Markus Herrmann
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, 8036 Graz, Austria; (A.M.); (D.E.)
- Correspondence: (S.Z.); (M.H.); Tel.: +43-316-385-13145 (S.Z. & M.H.); Fax: +43-316-385-13430 (S.Z. & M.H.)
| | - Walter Goessler
- Institute of Chemistry, University of Graz, 8010 Graz, Austria;
| | - Dietmar Enko
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, 8036 Graz, Austria; (A.M.); (D.E.)
- Institute of Clinical Chemistry and Laboratory Medicine, General Hospital Hochsteiermark, 8700 Leoben, Austria
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Reiber H. Blood-cerebrospinal fluid (CSF) barrier dysfunction means reduced CSF flow not barrier leakage - conclusions from CSF protein data. ARQUIVOS DE NEURO-PSIQUIATRIA 2021; 79:56-67. [PMID: 33656113 DOI: 10.1590/0004-282x-anp-2020-0094] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Accepted: 05/20/2020] [Indexed: 12/11/2022]
Abstract
BACKGROUND Increased concentrations of serum proteins in cerebrospinal fluid (CSF) are interpreted as blood-CSF barrier dysfunction. Frequently used interpretations such as barrier leakage, disruption or breakdown contradict CSF protein data, which suggest a reduced CSF flow rate as the cause. RESULTS Even the severest barrier dysfunctions do not change the molecular size-dependent selectivity or the interindividual variation of the protein transfer across barriers. Serum protein concentrations in lumbar CSF increase with hyperbolic functions, but the levels of proteins that do not pass the barrier remain constant (brain proteins) or increase linearly (leptomeningal proteins). All CSF protein dynamics above and below a lumbar blockade can also be explained, independent of their barrier passage, by a reduced caudally directed flow. Local accumulation of gadolinium in multiple sclerosis (MS) is now understood as due to reduced bulk flow elimination by interstitial fluid (ISF). Nonlinear change of the steady state in barrier dysfunction and along normal rostro-caudal gradients supports the diffusion/flow model and contradicts obstructions of diffusion pathways. Regardless of the cause of the disease, pathophysiological flow blockages are found in bacterial meningitis, leukemia, meningeal carcinomatosis, Guillain-Barré syndrome, MS and experimental allergic encephalomyelitis. In humans, the fortyfold higher albumin concentrations in early fetal development decrease later with maturation of the arachnoid villi, i.e., with beginning CSF outflow, which contradicts a relevant outflow to the lymphatic system. Respiration- and heartbeat-dependent oscillations do not disturb net direction of CSF flow. CONCLUSION Blood-CSF and blood-brain barrier dysfunctions are an expression of reduced CSF or ISF flow rate.
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Affiliation(s)
- Hansotto Reiber
- Georg-August-Universitaet Goettingen, Universitaetsmedizin - Neurochemistry, Goettingen, Niedersachsen, Germany
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Kappa Free Light Chains in the Context of Blood Contamination, and Other IgA- and IgM-Related Cerebrospinal Fluid Disease Pattern. Cells 2021; 10:cells10030616. [PMID: 33799494 PMCID: PMC7998777 DOI: 10.3390/cells10030616] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 03/05/2021] [Accepted: 03/05/2021] [Indexed: 11/16/2022] Open
Abstract
In this retrospective, monocentric cohort study, we tested if an intrathecal free light chain kappa (FLC-k) synthesis reflects not only an IgG but also IgA and IgM synthesis. We also analysed if FLC-k can help to distinguish between an inflammatory process and a blood contamination of cerebrospinal fluid (CSF). A total of 296 patient samples were identified and acquired from patients of the department of Neurology, University Medicine Greifswald (Germany). FLC-k were analysed in paired CSF and serum samples using the Siemens FLC-k kit. To determine an intrathecal FLC-k and immunoglobulin (Ig) A/-M-synthesis we analysed CSF/serum quotients in quotient diagrams, according to Reiber et al. Patient samples were grouped into three cohorts: cohort I (n = 41), intrathecal IgA and/or IgM synthesis; cohort II (n = 16), artificial blood contamination; and the control group (n = 239), no intrathecal immunoglobulin synthesis. None of the samples had intrathecal IgG synthesis, as evaluated with quotient diagrams or oligoclonal band analysis. In cohort I, 98% of patient samples presented an intrathecal synthesis of FLC-k. In cohort II, all patients lacked intrathecal FLC-k synthesis. In the control group, 6.5% presented an intrathecal synthesis of FLC-k. The data support the concept that an intrathecal FLC-k synthesis is independent of the antibody class produced. In patients with an artificial intrathecal Ig synthesis due to blood contamination, FLC-k synthesis is lacking. Thus, additional determination of FLC-k in quotient diagrams helps to discriminate an inflammatory process from a blood contamination of CSF.
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Reiber H. Non-linear ventriculo – Lumbar protein gradients validate the diffusion-flow model for the blood-CSF barrier. Clin Chim Acta 2021; 513:64-67. [DOI: 10.1016/j.cca.2020.12.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 12/01/2020] [Indexed: 10/22/2022]
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Intrathecal kappa free light chains as markers for multiple sclerosis. Sci Rep 2020; 10:20329. [PMID: 33230241 PMCID: PMC7683527 DOI: 10.1038/s41598-020-77029-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Accepted: 10/29/2020] [Indexed: 11/08/2022] Open
Abstract
Cerebrospinal fluid (CSF) kappa free light chain (KFLC) index has been described as a reliable marker of intrathecal IgG synthesis to diagnose multiple sclerosis (MS). Our aims were: (1) to compare the efficiency of KFLC through different interpretation approaches in diagnosing MS. (2) to evaluate the prognostic value of KFLC in radiologically and clinically isolated syndromes (RIS-CIS). We enrolled 133 MS patients and 240 with other neurological diseases (93 inflammatory including 18 RIS-CIS, 147 non-inflammatory). Albumin, lambda free light chain (LFLC) and KFLC were measured in the CSF and serum by nephelometry. We included two groups of markers: (a) corrected for blood-CSF barrier permeability: immunoglobulin G (IgG), KFLC and LFLC indexes. (b) CSF ratios (not including albumin and serum-correction): CSF KFLC/LFLC, CSF KFLC/IgG, CSF LFLC/IgG. KFLC were significantly higher in MS patients compared to those with other diseases (both inflammatory or not). KFLC index and CSF KFLC/IgG ratio showed high sensitivity (93% and 86.5%) and moderate specificity (85% and 88%) in diagnosing MS. RIS-CIS patients who converted to MS showed greater KFLC index and CSF KFLC/IgG. Despite OB are confirmed to be the gold-standard to detect intrathecal IgG synthesis, the KFLC confirmed their accuracy in MS diagnosis. A “kappa-oriented” response characterizes MS and has a prognostic impact in the RIS-CIS population.
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Ferraro D, Bedin R, Natali P, Franciotta D, Smolik K, Santangelo M, Immovilli P, Camera V, Vitetta F, Gastaldi M, Trenti T, Meletti S, Sola P. Kappa Index Versus CSF Oligoclonal Bands in Predicting Multiple Sclerosis and Infectious/Inflammatory CNS Disorders. Diagnostics (Basel) 2020; 10:diagnostics10100856. [PMID: 33096861 PMCID: PMC7589948 DOI: 10.3390/diagnostics10100856] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 10/12/2020] [Accepted: 10/19/2020] [Indexed: 01/03/2023] Open
Abstract
Background: Cerebrospinal fluid (CSF) kappa free light chains (KFLC) are gaining increasing interest as markers of intrathecal immunoglobulin synthesis. The main aim of this study was to assess the diagnostic accuracy (AUC) of the kappa index (CSF/serum KFLC divided by the CSF/serum albumin ratio) compared to CSF oligoclonal IgG bands (OCB) in predicting Multiple Sclerosis (MS) or a central nervous system infectious/inflammatory disorder (CNSID). Methods: We enrolled patients who underwent a diagnostic spinal tap throughout two years. KFLC levels were determined using a Freelite assay (Binding Site) and the turbidimetric Optilite analyzer. Results: Of 540 included patients, 223 had a CNSID, and 84 had MS. The kappa index was more sensitive (0.89 versus 0.85) and less specific (0.84 versus 0.89), with the same AUC (0.87) as OCB for MS diagnosis (optimal cut-off: 6.2). Adding patients with a single CSF IgG band to the OCB-positive group slightly increased the AUC (0.88). Likewise, the kappa index (cut-off: 3.9) was more sensitive (0.67 versus 0.50) and less specific (0.81 versus 0.97), with the same AUC (0.74) as OCB, for a CNSID diagnosis. Conclusion: The kappa index and CSF OCB have comparable diagnostic accuracies for a MS or CNSID diagnosis and supply the clinician with useful, complementary information.
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Affiliation(s)
- Diana Ferraro
- Neurology Unit, Azienda Ospedaliero-Universitaria of Modena, 41126 Modena, Italy; (V.C.); (F.V.); (S.M.); (P.S.)
- Department of Biomedical, Metabolic and Neurosciences, University of Modena and Reggio Emilia, 41126 Modena, Italy; (R.B.); (K.S.)
- Correspondence: ; Tel.: +39-0593961678
| | - Roberta Bedin
- Department of Biomedical, Metabolic and Neurosciences, University of Modena and Reggio Emilia, 41126 Modena, Italy; (R.B.); (K.S.)
| | - Patrizia Natali
- Department of Laboratory Medicine, Azienda Ospedaliero-Universitaria and Azienda Unità Sanitaria Locale, Ospedale Civile, 41126 Modena, Italy; (P.N.); (T.T.)
| | - Diego Franciotta
- Neuroimmunology Laboratory, IRCCS Mondino Foundation, 27100 Pavia, Italy; (D.F.); (M.G.)
| | - Krzysztof Smolik
- Department of Biomedical, Metabolic and Neurosciences, University of Modena and Reggio Emilia, 41126 Modena, Italy; (R.B.); (K.S.)
| | | | - Paolo Immovilli
- Neurology Unit, Ospedale G. da Saliceto, 29121 Piacenza, Italy;
| | - Valentina Camera
- Neurology Unit, Azienda Ospedaliero-Universitaria of Modena, 41126 Modena, Italy; (V.C.); (F.V.); (S.M.); (P.S.)
- Department of Biomedical, Metabolic and Neurosciences, University of Modena and Reggio Emilia, 41126 Modena, Italy; (R.B.); (K.S.)
| | - Francesca Vitetta
- Neurology Unit, Azienda Ospedaliero-Universitaria of Modena, 41126 Modena, Italy; (V.C.); (F.V.); (S.M.); (P.S.)
| | - Matteo Gastaldi
- Neuroimmunology Laboratory, IRCCS Mondino Foundation, 27100 Pavia, Italy; (D.F.); (M.G.)
| | - Tommaso Trenti
- Department of Laboratory Medicine, Azienda Ospedaliero-Universitaria and Azienda Unità Sanitaria Locale, Ospedale Civile, 41126 Modena, Italy; (P.N.); (T.T.)
| | - Stefano Meletti
- Neurology Unit, Azienda Ospedaliero-Universitaria of Modena, 41126 Modena, Italy; (V.C.); (F.V.); (S.M.); (P.S.)
- Department of Biomedical, Metabolic and Neurosciences, University of Modena and Reggio Emilia, 41126 Modena, Italy; (R.B.); (K.S.)
| | - Patrizia Sola
- Neurology Unit, Azienda Ospedaliero-Universitaria of Modena, 41126 Modena, Italy; (V.C.); (F.V.); (S.M.); (P.S.)
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Süße M, Feistner F, Grothe M, Nauck M, Dressel A, Hannich MJ. Free light chains kappa can differentiate between myelitis and noninflammatory myelopathy. NEUROLOGY(R) NEUROIMMUNOLOGY & NEUROINFLAMMATION 2020; 7:7/6/e892. [PMID: 32948648 PMCID: PMC7524577 DOI: 10.1212/nxi.0000000000000892] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Accepted: 08/17/2020] [Indexed: 12/12/2022]
Abstract
OBJECTIVE To test the hypothesis that the intrathecal synthesis of free light chain kappa (FLC-k) can be used as a CSF biomarker to differentiate patients with myelitis due to multiple sclerosis (MS), myelitis due to neuromyelitis optica spectrum disease (NMOSD), and noninflammatory myelopathy, we analyzed FLC-k in 26 patients with MS myelitis, 9 patients with NMOSD myelitis, and 14 patients with myelopathy. METHODS This is a retrospective monocentric cohort study. FLC-k were analyzed using the nephelometric Siemens FLC-k kit in paired samples of CSF and sera. Intrathecal fraction (IF) of FLC-k was plotted in a FLC-k quotient diagram. RESULTS Ninety-six percent of patients with MS myelitis had an intrathecal synthesis of FLC-k in comparison with 55.6% for NMOSD and 14.3% of patients with noninflammatory myelopathy. The locally synthesized absolute amount of FLC-k was significantly higher in patients with myelitis due to MS than in patients with NMOSD (p = 0.038) or noninflammatory myelopathy (p < 0.0001). The sensitivity of FLC-k synthesis to detect inflammation in patients with myelitis is 85.7%. Using a receiver operating characteristic analysis, FLC-k IF >78% can discriminate patients with myelitis due to MS and NMOSD with a sensitivity of 88.5% and a specificity of 88.9% CONCLUSIONS: With the hyperbolic reference range in quotient diagrams for FLC-k, it is possible to distinguish inflammatory myelitis from noninflammatory myelopathies. An FLC-k IF >78% can be a hint to suspect myelitis due to MS rather than NMOSD.
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Affiliation(s)
- Marie Süße
- From the Department of Neurology (M.S., F.F., M.G.), and Institute of Clinical Chemistry and Laboratory Medicine (M.N., M.J.H.), University Medicine Greifswald; and Department of Neurology (A.D.), Carl-Thiem-Klinikum Cottbus, Germany.
| | - Fritz Feistner
- From the Department of Neurology (M.S., F.F., M.G.), and Institute of Clinical Chemistry and Laboratory Medicine (M.N., M.J.H.), University Medicine Greifswald; and Department of Neurology (A.D.), Carl-Thiem-Klinikum Cottbus, Germany
| | - Matthias Grothe
- From the Department of Neurology (M.S., F.F., M.G.), and Institute of Clinical Chemistry and Laboratory Medicine (M.N., M.J.H.), University Medicine Greifswald; and Department of Neurology (A.D.), Carl-Thiem-Klinikum Cottbus, Germany
| | - Matthias Nauck
- From the Department of Neurology (M.S., F.F., M.G.), and Institute of Clinical Chemistry and Laboratory Medicine (M.N., M.J.H.), University Medicine Greifswald; and Department of Neurology (A.D.), Carl-Thiem-Klinikum Cottbus, Germany
| | - Alexander Dressel
- From the Department of Neurology (M.S., F.F., M.G.), and Institute of Clinical Chemistry and Laboratory Medicine (M.N., M.J.H.), University Medicine Greifswald; and Department of Neurology (A.D.), Carl-Thiem-Klinikum Cottbus, Germany
| | - Malte Johannes Hannich
- From the Department of Neurology (M.S., F.F., M.G.), and Institute of Clinical Chemistry and Laboratory Medicine (M.N., M.J.H.), University Medicine Greifswald; and Department of Neurology (A.D.), Carl-Thiem-Klinikum Cottbus, Germany
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Duell F, Evertsson B, Al Nimer F, Sandin Å, Olsson D, Olsson T, Khademi M, Hietala MA, Piehl F, Hansson M. Diagnostic accuracy of intrathecal kappa free light chains compared with OCBs in MS. NEUROLOGY-NEUROIMMUNOLOGY & NEUROINFLAMMATION 2020; 7:7/4/e775. [PMID: 32527760 PMCID: PMC7309528 DOI: 10.1212/nxi.0000000000000775] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Accepted: 04/20/2020] [Indexed: 11/15/2022]
Abstract
OBJECTIVE To determine what kappa free light chain (KFLC) metric has the highest capacity to separate healthy patients from patients with MS, we evaluated the sensitivity, specificity, and the overall diagnostic accuracy of 4 different KFLC metrics. To assess the usefulness of KFLC in the diagnostics of MS, we compared the different KFLC metrics with oligoclonal bands (OCBs), the current gold standard biochemical method to demonstrate intrathecal antibody production. METHODS CSF and plasma were collected from patients with confirmed or suspected MS, other neurological diseases, as well as symptomatic and healthy controls between May 2017 and May 2018 (n = 335) at the Department of Neurology, Karolinska University Hospital, as part of routine diagnostic workup. KFLC analysis and isoelectric focusing for the detection of oligoclonal bands (OCB) were determined and correlated with diagnosis. Receiver operating characteristic (ROC) curve analysis was used to determine accuracy. RESULTS OCBs yielded a sensitivity of 87% and a specificity of 100%. All KFLC metrics showed a high sensitivity (89%-95%) and specificity (95%-100%). Using the optimal cutoff according to the Youden Index resulted for the KFLC intrathecal fraction in a cutoff of -0.41 with a sensitivity of 95% and a specificity of 97% and for CSF KFLC/CSF albumin with a cutoff of 1.93 × 10-3 with a sensitivity of 94% and specificity of 100%. CONCLUSION All evaluated KFLC metrics have excellent accuracy, and both KFLC intrathecal fraction and CSF KFLC/CSF albumin are at least as good as OCB in separating patients with MS from a control group. CLASSIFICATION OF EVIDENCE This study provides Class III evidence that CSF KFLC accurately distinguishes patients with MS from healthy controls.
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Affiliation(s)
- Frida Duell
- From the Department of Neurobiology, Care Sciences and Society (F.D.), Department of Clinical Neuroscience (B.E., F.A.N., T.O., M.K., M.A.H., F.P.), and Department of Laboratory Medicine (M.H.), Karolinska Institutet; Department of Clinical Chemistry (F.D., A.S., M.H.) and Department of Neurology (B.E., T.O., M.K., M.A.H., F.P.), Karolinska University Hospital; and Unit of Medical Statistics (D.O.), Department of Learning, Informatics, Management and Ethics (LIME), Karolinska Institutet, Stockholm, Sweden.
| | - Björn Evertsson
- From the Department of Neurobiology, Care Sciences and Society (F.D.), Department of Clinical Neuroscience (B.E., F.A.N., T.O., M.K., M.A.H., F.P.), and Department of Laboratory Medicine (M.H.), Karolinska Institutet; Department of Clinical Chemistry (F.D., A.S., M.H.) and Department of Neurology (B.E., T.O., M.K., M.A.H., F.P.), Karolinska University Hospital; and Unit of Medical Statistics (D.O.), Department of Learning, Informatics, Management and Ethics (LIME), Karolinska Institutet, Stockholm, Sweden
| | - Faiez Al Nimer
- From the Department of Neurobiology, Care Sciences and Society (F.D.), Department of Clinical Neuroscience (B.E., F.A.N., T.O., M.K., M.A.H., F.P.), and Department of Laboratory Medicine (M.H.), Karolinska Institutet; Department of Clinical Chemistry (F.D., A.S., M.H.) and Department of Neurology (B.E., T.O., M.K., M.A.H., F.P.), Karolinska University Hospital; and Unit of Medical Statistics (D.O.), Department of Learning, Informatics, Management and Ethics (LIME), Karolinska Institutet, Stockholm, Sweden
| | - Åsa Sandin
- From the Department of Neurobiology, Care Sciences and Society (F.D.), Department of Clinical Neuroscience (B.E., F.A.N., T.O., M.K., M.A.H., F.P.), and Department of Laboratory Medicine (M.H.), Karolinska Institutet; Department of Clinical Chemistry (F.D., A.S., M.H.) and Department of Neurology (B.E., T.O., M.K., M.A.H., F.P.), Karolinska University Hospital; and Unit of Medical Statistics (D.O.), Department of Learning, Informatics, Management and Ethics (LIME), Karolinska Institutet, Stockholm, Sweden
| | - Daniel Olsson
- From the Department of Neurobiology, Care Sciences and Society (F.D.), Department of Clinical Neuroscience (B.E., F.A.N., T.O., M.K., M.A.H., F.P.), and Department of Laboratory Medicine (M.H.), Karolinska Institutet; Department of Clinical Chemistry (F.D., A.S., M.H.) and Department of Neurology (B.E., T.O., M.K., M.A.H., F.P.), Karolinska University Hospital; and Unit of Medical Statistics (D.O.), Department of Learning, Informatics, Management and Ethics (LIME), Karolinska Institutet, Stockholm, Sweden
| | - Tomas Olsson
- From the Department of Neurobiology, Care Sciences and Society (F.D.), Department of Clinical Neuroscience (B.E., F.A.N., T.O., M.K., M.A.H., F.P.), and Department of Laboratory Medicine (M.H.), Karolinska Institutet; Department of Clinical Chemistry (F.D., A.S., M.H.) and Department of Neurology (B.E., T.O., M.K., M.A.H., F.P.), Karolinska University Hospital; and Unit of Medical Statistics (D.O.), Department of Learning, Informatics, Management and Ethics (LIME), Karolinska Institutet, Stockholm, Sweden
| | - Mohsen Khademi
- From the Department of Neurobiology, Care Sciences and Society (F.D.), Department of Clinical Neuroscience (B.E., F.A.N., T.O., M.K., M.A.H., F.P.), and Department of Laboratory Medicine (M.H.), Karolinska Institutet; Department of Clinical Chemistry (F.D., A.S., M.H.) and Department of Neurology (B.E., T.O., M.K., M.A.H., F.P.), Karolinska University Hospital; and Unit of Medical Statistics (D.O.), Department of Learning, Informatics, Management and Ethics (LIME), Karolinska Institutet, Stockholm, Sweden
| | - Max Albert Hietala
- From the Department of Neurobiology, Care Sciences and Society (F.D.), Department of Clinical Neuroscience (B.E., F.A.N., T.O., M.K., M.A.H., F.P.), and Department of Laboratory Medicine (M.H.), Karolinska Institutet; Department of Clinical Chemistry (F.D., A.S., M.H.) and Department of Neurology (B.E., T.O., M.K., M.A.H., F.P.), Karolinska University Hospital; and Unit of Medical Statistics (D.O.), Department of Learning, Informatics, Management and Ethics (LIME), Karolinska Institutet, Stockholm, Sweden
| | - Fredrik Piehl
- From the Department of Neurobiology, Care Sciences and Society (F.D.), Department of Clinical Neuroscience (B.E., F.A.N., T.O., M.K., M.A.H., F.P.), and Department of Laboratory Medicine (M.H.), Karolinska Institutet; Department of Clinical Chemistry (F.D., A.S., M.H.) and Department of Neurology (B.E., T.O., M.K., M.A.H., F.P.), Karolinska University Hospital; and Unit of Medical Statistics (D.O.), Department of Learning, Informatics, Management and Ethics (LIME), Karolinska Institutet, Stockholm, Sweden
| | - Magnus Hansson
- From the Department of Neurobiology, Care Sciences and Society (F.D.), Department of Clinical Neuroscience (B.E., F.A.N., T.O., M.K., M.A.H., F.P.), and Department of Laboratory Medicine (M.H.), Karolinska Institutet; Department of Clinical Chemistry (F.D., A.S., M.H.) and Department of Neurology (B.E., T.O., M.K., M.A.H., F.P.), Karolinska University Hospital; and Unit of Medical Statistics (D.O.), Department of Learning, Informatics, Management and Ethics (LIME), Karolinska Institutet, Stockholm, Sweden
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Süße M, Reiber H, Grothe M, Petersmann A, Nauck M, Dressel A, Hannich MJ. Free light chain kappa and the polyspecific immune response in MS and CIS - Application of the hyperbolic reference range for most reliable data interpretation. J Neuroimmunol 2020; 346:577287. [PMID: 32599341 DOI: 10.1016/j.jneuroim.2020.577287] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Revised: 06/03/2020] [Accepted: 06/05/2020] [Indexed: 11/18/2022]
Abstract
OBJECTIVES Free light chain kappa (FLC-k) in cerebrospinal fluid (CSF) is involved in intrathecal immune responses and is being investigated frequently for its diagnostic sensitivity. The objective of this study was the application and interpretation of FLC-k data in quotient diagrams with a hyperbolic reference range and to confirm the superior evaluation in comparison with another proposed reference method and cut-off values. Secondly, the performance of the FLC-k quotient diagram was analyzed in respect to MS and CIS patients and in relation to the polyspecific immune response. MATERIALS AND METHODS FLC-k was analyzed in a control cohort (n = 302) and in patients with MS/CIS (n = 98) using a nephelometric FLC-k kit. The intrathecal fraction of FLC-k based on the hyperbolic reference range was calculated in comparison to various linear FLC-k indices and routine CSF parameters [oligoclonal bands (OCB), polyspecific antiviral immune response]. RESULTS Using the new hyperbolic reference range, intrathecal FLC-k synthesis was found in 20 / 302 OCB negative controls. The sensitivity in the definitive MS cohort was 100%, compared to 93% positive OCB. The linear FLC-k Index interpretation with similar sensitivity for MS, however, bares the risk for the control samples,depending on the reference range, of false positive interpretations (up to 7 at low QAlb) or false negative interpretations (up to 17/20 FLC-k positives at high QAlb). The quantitative mean intrathecal FLC-k synthesis in the CIS cohort (later MS) was even slightly higher than in initially definitive MS questioning a pathophysiological difference. A positive MRZ reaction found in 53% percent of CIS patients with intrathecal FLC-k synthesis could have allowed diagnosis of MS immediately, i.e. earlier than with the Mc Donald criteria. CONCLUSIONS The evaluation of FLC-k with hyperbolic reference range in quotient diagrams is superior to other analytical methods like the linear FLC-k index. We suggest a sequential CSF testing with FLC-k Reibergram evaluation, potentially followed by isoelectric focusing. With the MRZ reaction we obtain highest specificity for MS diagnosis.
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Affiliation(s)
- Marie Süße
- Departement of Neurology, University Medicine Greifswald, Greifswald, Germany
| | - Hansotto Reiber
- CSF and Complexity Studies, Göttingen and University Göttingen, Germany
| | - Matthias Grothe
- Departement of Neurology, University Medicine Greifswald, Greifswald, Germany
| | | | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | | | - Malte Johannes Hannich
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany.
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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: 1.5] [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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Süße M, Feistner F, Holbe C, Grothe M, Nauck M, Dressel A, Hannich MJ. Diagnostic value of kappa free light chains in patients with one isolated band in isoelectric focusing. Clin Chim Acta 2020; 507:205-209. [PMID: 32353362 DOI: 10.1016/j.cca.2020.04.029] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Revised: 04/02/2020] [Accepted: 04/26/2020] [Indexed: 02/01/2023]
Abstract
OBJECTIVES Oligoclonal band (OCB) determination in cerebrospinal fluid (CSF) is the gold standard to detect intrathecal inflammation. However, there is uncertainty about the significance of one isolated band in CSF. Free light chains kappa (FLC-k) are gaining interest as a complementary method to detect intrathecal inflammation. The aim of this study was to investigate the performance of an additive measurement of FLC-k in patients with one isolated band in CSF. MATERIALS & METHODS FLC-k were analyzed using the nephelometric Siemens FLC-k kit in paired samples of CSF and sera (n = 56) in patients with one isolated band in isoelectric focusing. According to medical diagnosis, samples were subdivided in inflammatory neurological disease, non-inflammatory neurological disease controls and symptomatic controls. Intrathecal fraction of FLC-k was plotted in a FLC-k quotient diagram. OCB interpretation was done blinded by three experienced raters. RESULTS Of 6695 OCB analyses, 91 (1.4%) had one isolated band in CSF. After exclusion of patient samples due to unclear OCB pattern after reevaluation and sample availability, 56 patient samples were included in the study. All patients with an inflammatory origin of disease (n = 13) had FLC-k values above the upper discrimination line (Qlim) in the FLC-k quotient diagram, resulting in a sensitivity of 100% with a positive predictive value of 52% and a negative predictive value of 100%. Fourteen patients (36%) with a non-inflammatory origin of disease (n = 39) had FLC-k values above Qlim. CONCLUSIONS In patients with one isolated band in CSF, a lack of intrathecal fraction of FLC-k strongly favors a non-inflammatory orgin of disease. Implementation of FLC-k measurement can help the clinician in the diagnostic process of neurological diseases.
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Affiliation(s)
- Marie Süße
- Department of Neurology, University Medicine Greifswald, Greifswald, Germany.
| | - Fritz Feistner
- Department of Neurology, University Medicine Greifswald, Greifswald, Germany
| | - Christine Holbe
- Department of Neurology, University Medicine Greifswald, Greifswald, Germany
| | - Matthias Grothe
- Department of Neurology, University Medicine Greifswald, Greifswald, Germany
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | | | - Malte Johannes Hannich
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
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The Impact of Immunomodulatory Treatment on Kappa Free Light Chains as Biomarker in Neuroinflammation. Cells 2020; 9:cells9040842. [PMID: 32244362 PMCID: PMC7226742 DOI: 10.3390/cells9040842] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Revised: 03/24/2020] [Accepted: 03/28/2020] [Indexed: 12/14/2022] Open
Abstract
Background: Kappa free light chains (KFLC) are a promising new biomarker to detect neuroinflammation. Still, the impact of pre-analytical effects on KFLC concentrations was not investigated. Methods: KFLC concentrations were measured in serum and cerebrospinal fluid (CSF) of patients with a newly diagnosed multiple sclerosis (MS) or clinically isolated syndrome (CIS) before (n = 42) or after therapy with high-dose methylprednisolone (n = 65). In prospective experiments, KFLC concentrations were analyzed in the same patients in serum before and after treatment with high-dose methylprednisolone (n = 16), plasma exchange (n = 12), immunoadsorption (n = 10), or intravenous immunoglobulins (n = 10). In addition, the influence of storage time, sample method, and contamination of CSF with blood were investigated. Results: Patients diagnosed with MS/CIS and treated with methylprednisolone showed significantly lower KFLC concentrations in serum as untreated patients. Repeated longitudinal investigations revealed that serum KFLC concentrations continuously decreased after each application of methylprednisolone. In contrast, other immune therapies and further pre-analytical conditions did not influence KFLC concentrations. Conclusion: Our results show prominent effects of steroids on KFLC concentrations. In contrast, various other pre-analytical conditions did not influence KFLC concentrations, indicating the stability of this biomarker.
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Schwenkenbecher P, Konen FF, Wurster U, Witte T, Gingele S, Sühs KW, Stangel M, Skripuletz T. Reiber's Diagram for Kappa Free Light Chains: The New Standard for Assessing Intrathecal Synthesis? Diagnostics (Basel) 2019; 9:E194. [PMID: 31744096 PMCID: PMC6963502 DOI: 10.3390/diagnostics9040194] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2019] [Revised: 11/01/2019] [Accepted: 11/12/2019] [Indexed: 11/17/2022] Open
Abstract
Oligoclonal bands are the gold standard for determination of an intrathecal immunoglobulin G synthesis and were recently included in the McDonald criteria of 2017 to diagnose relapsing multiple sclerosis (MS) as a substitute for dissemination in time. Intrathecally produced kappa free light chains (KFLC) are a novel promising biomarker with similar characteristics and the advantage for automated determination. However, different approaches exist to determine the intrathecal KFLC fraction. The most common method is to calculate the CSF/serum KFLC quotient with reference to the albumin CSF/serum quotient (QKappa/QAlb) the so-called KFLC index. Recently, Reiber developed a theoretically and empirically founded hyperbolic function similar to his traditional hyperbolic function for the immunoglobulins A, G, M. Our study included a total of 168 patients with either MS according to the McDonald criteria of 2017, clinically isolated syndrome (CIS) with conversion to MS during follow-up, or stable CIS. Positive oligoclonal bands were compared with the KFLC index, Reiber's KFLC diagram, Presslauer's KFLC exponential curve, and Senel's linear curve for KFLC. Reiber's diagram detected an intrathecal production of KFLC in 98/100 patients with MS, only one patient fewer than oligoclonal bands positivity (99/100). By using the KFLC index ≥ 5.9, Presslauer's KFLC exponential function, and Senel's linear curve two more patients would not have been identified (96/100). For the group of patients who converted from CIS to MS similar results were obtained for both the oligoclonal bands and the Reiber graph (21/24, 88%). The KFLC index ≥ 5.9, Presslauer's method, and Senel's linear function each identified two patients fewer (19/24, 79%). In patients with stable CIS, 11/44 patients (25%) displayed oligoclonal bands in contrast to 9/44 patients (20%) with elevated KFLC by using Reiber's diagram and Presslauer's method, 8/44 patients (18%) with elevated KFLC as detected by Senel's linear function, and 7/44 patients (16%) with KFLC index ≥ 5.9. In conclusion, Reiber's KFLC diagram shows a great diagnostic performance to detect an intrathecal KFLC production in patients with MS.
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Affiliation(s)
- Philipp Schwenkenbecher
- Department of Neurology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625 Hanover, Germany; (P.S.); (F.F.K.); (U.W.); (S.G.); (K.-W.S.); (M.S.)
| | - Franz Felix Konen
- Department of Neurology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625 Hanover, Germany; (P.S.); (F.F.K.); (U.W.); (S.G.); (K.-W.S.); (M.S.)
| | - Ulrich Wurster
- Department of Neurology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625 Hanover, Germany; (P.S.); (F.F.K.); (U.W.); (S.G.); (K.-W.S.); (M.S.)
| | - Torsten Witte
- Department of Clinical Immunology & Rheumatology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625 Hanover, Germany;
| | - Stefan Gingele
- Department of Neurology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625 Hanover, Germany; (P.S.); (F.F.K.); (U.W.); (S.G.); (K.-W.S.); (M.S.)
| | - Kurt-Wolfram Sühs
- Department of Neurology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625 Hanover, Germany; (P.S.); (F.F.K.); (U.W.); (S.G.); (K.-W.S.); (M.S.)
| | - Martin Stangel
- Department of Neurology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625 Hanover, Germany; (P.S.); (F.F.K.); (U.W.); (S.G.); (K.-W.S.); (M.S.)
| | - Thomas Skripuletz
- Department of Neurology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625 Hanover, Germany; (P.S.); (F.F.K.); (U.W.); (S.G.); (K.-W.S.); (M.S.)
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