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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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Toscano S, Chisari CG, Lo Fermo S, Gulino G, Zappia M, Patti F. A dynamic interpretation of κFLC index for the diagnosis of multiple sclerosis: a change of perspective. J Neurol 2023; 270:6010-6020. [PMID: 37639016 PMCID: PMC10632300 DOI: 10.1007/s00415-023-11952-3] [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: 07/07/2023] [Revised: 08/16/2023] [Accepted: 08/17/2023] [Indexed: 08/29/2023]
Abstract
BACKGROUND Previous studies attempted to define the best threshold for κ free light chains (κFLC) index, confirming higher sensitivity (Se) but less specificity (Sp) compared with IgG oligoclonal bands (OCB) for the diagnosis of MS. OBJECTIVE To evaluate the diagnostic accuracy of different κFLC index intervals in a miscellaneous cohort of neurological patients, proposing a procedural flowchart for MS diagnosis. METHODS We analyzed data from 607 patients diagnosed with MS (179), CIS (116), other inflammatory (94) or non-inflammatory neurological diseases (218). Measures of diagnostic accuracy were reported for different potential thresholds of κFLC index, and for IgG OCB and IgG index. Binary logistic regression was to used to calculate the odds of being diagnosed with MS based on each increase of κFLC index. RESULTS CSF IgG OCB showed 72.2% Se (CI 95% 68.4-75.7) and 95.2% Sp (CI 95% 93.1-96.7) in discriminating between MS/CIS and controls, with an AUC of 0.84 (CI 95% 0.80-0.87). The highest diagnostic accuracy was reported for κFLC index cut-off of 5.0 (Se = 85.4%, Sp = 90.4%, AUC = 0.88), while a threshold of 11.0 exhibited higher Sp (95.5%, 95% CI 93.1-97.1) than IgG OCB. AUCs for all thresholds between 4.25 and 6.6 were not significantly different from each other, but were significantly higher than the AUC of IgG OCB (p < 0.05). The odds of being diagnosed with MS/CIS increased by 17.1% for each unit increase of κFLC index (OR = 1.17; 95% CI 1.12-1.23; p < 0.001). CONCLUSION κFLC index performed better than CSF IgG OCB in supporting the diagnosis of MS/CIS, with the advantage of being a cost-effective and quantitative analysis.
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Affiliation(s)
- Simona Toscano
- Department of Biomedical and Biotechnological Sciences, University of Catania, Via Santa Sofia 97, 95123, Catania, Italy
- Multiple Sclerosis Unit, University-Hospital G. Rodolico-San Marco, Via Santa Sofia 78, 95123, Catania, Italy
| | - Clara Grazia Chisari
- Multiple Sclerosis Unit, University-Hospital G. Rodolico-San Marco, Via Santa Sofia 78, 95123, Catania, Italy
- Department "GF Ingrassia", Section Neuroscience, University of Catania, Via Santa Sofia 87, 95123, Catania, Italy
| | - Salvatore Lo Fermo
- Multiple Sclerosis Unit, University-Hospital G. Rodolico-San Marco, Via Santa Sofia 78, 95123, Catania, Italy
- Department "GF Ingrassia", Section Neuroscience, University of Catania, Via Santa Sofia 87, 95123, Catania, Italy
| | - Giuseppa Gulino
- Central Laboratory, A.O.U. Policlinico-San Marco, Via Santa Sofia 78, 95123, Catania, Italy
| | - Mario Zappia
- Department "GF Ingrassia", Section Neuroscience, University of Catania, Via Santa Sofia 87, 95123, Catania, Italy
| | - Francesco Patti
- Multiple Sclerosis Unit, University-Hospital G. Rodolico-San Marco, Via Santa Sofia 78, 95123, Catania, Italy.
- Department "GF Ingrassia", Section Neuroscience, University of Catania, Via Santa Sofia 87, 95123, Catania, Italy.
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López-Gómez J, Sacristán Enciso B, Caro Miró MA, Querol Pascual MR. Clinically isolated syndrome: Diagnosis and risk of developing clinically definite multiple sclerosis. Neurologia 2023; 38:663-670. [PMID: 37858891 DOI: 10.1016/j.nrleng.2021.01.010] [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: 11/08/2020] [Accepted: 01/01/2021] [Indexed: 10/21/2023] Open
Abstract
INTRODUCTION In most cases, multiple sclerosis (MS) initially presents as clinically isolated syndrome (CIS). Differentiating CIS from other acute or subacute neurological diseases and estimating the risk of progression to clinically definite MS is essential since presenting a second episode in a short time is associated with poorer long-term prognosis. DEVELOPMENT We conducted a literature review to evaluate the usefulness of different variables in improving diagnostic accuracy and predicting progression from CIS to MS, including magnetic resonance imaging (MRI) and such biofluid markers as oligoclonal IgG and IgM bands, lipid-specific oligoclonal IgM bands in the CSF, CSF kappa free light-chain (KFLC) index, neurofilament light chain (NfL) in the CSF and serum, and chitinase 3-like protein 1 (CHI3L1) in the CSF and serum. CONCLUSIONS Codetection of oligoclonal IgG bands and MRI lesions reduces diagnostic delays and suggests a high risk of CIS progression to MS. A KFLC index > 10.6 and CSF NfL concentrations > 1150 ng/L indicate that CIS is more likely to progress to MS within one year (40%-50%); 90% of patients with CIS and serum CHI3L1 levels > 33 ng/mL and 100% of those with lipid-specific oligoclonal IgM bands present MS within one year of CIS onset.
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Affiliation(s)
- J López-Gómez
- Unidad de Proteínas, Servicio de Análisis Clínicos, Hospital Universitario de Badajoz, Badajoz, Spain.
| | - B Sacristán Enciso
- Sección de Proteínas y Autoinmunidad, Servicio de Análisis Clínicos, Hospital de Mérida, Badajoz, Spain
| | - M A Caro Miró
- Servicio de Análisis Clínicos, Hospital Universitario de Badajoz, Badajoz, Spain
| | - M R Querol Pascual
- Servicio de Neurología, Hospital Universitario de Badajoz, Badajoz, Spain
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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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Maroto-García J, Martínez-Escribano A, Delgado-Gil V, Mañez M, Mugueta C, Varo N, García de la Torre Á, Ruiz-Galdón M. Biochemical biomarkers for multiple sclerosis. Clin Chim Acta 2023; 548:117471. [PMID: 37419300 DOI: 10.1016/j.cca.2023.117471] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 07/04/2023] [Accepted: 07/04/2023] [Indexed: 07/09/2023]
Abstract
INTRODUCTION Multiple sclerosis (MS) is the most frequent demyelinating disease of the central nervous system. Although there is currently no definite cure for MS, new therapies have recently been developed based on a continuous search for new biomarkers. DEVELOPMENT MS diagnosis relies on the integration of clinical, imaging and laboratory findings as there is still no singlepathognomonicclinical feature or diagnostic laboratory biomarker. The most commonly laboratory test used is the presence of immunoglobulin G oligoclonal bands (OCB) in cerebrospinal fluid of MS patients. This test is now included in the 2017 McDonald criteria as a biomarker of dissemination in time. Nevertheless, there are other biomarkers currently in use such as kappa free light chain, which has shown higher sensitivity and specificity for MS diagnosis than OCB. In addition, other potential laboratory tests involved in neuronal damage, demyelination and/or inflammation could be used for detecting MS. CONCLUSIONS CSF and serum biomarkers have been reviewed for their use in MS diagnosis and prognosis to stablish an accurate and prompt MS diagnosis, crucial to implement an adequate treatment and to optimize clinical outcomes over time.
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Affiliation(s)
- Julia Maroto-García
- Biochemistry Department, Clínica Universidad de Navarra, Spain; Department of Biochemistry and Molecular Biology. Faculty of Medicine. University of Malaga, Spain.
| | - Ana Martínez-Escribano
- Department of Biochemistry and Molecular Biology. Faculty of Medicine. University of Malaga, Spain; Laboratory Medicine, Hospital Clínico Universitario Virgen de la Arrixaca, IMIB-ARRIXACA, Murcia, Spain
| | - Virginia Delgado-Gil
- Neurology Department, Hospital Universitario Virgen de la Victoria, Malaga, Spain
| | - Minerva Mañez
- Neurology Department, Hospital Universitario Virgen de la Victoria, Malaga, Spain
| | - Carmen Mugueta
- Biochemistry Department, Clínica Universidad de Navarra, Spain
| | - Nerea Varo
- Biochemistry Department, Clínica Universidad de Navarra, Spain
| | - Ángela García de la Torre
- Clinical Analysis Service, Hospital Universitario Virgen de la Victoria, Malaga, Spain; The Biomedical Research Institute of Malaga (IBIMA), Malaga, Spain
| | - Maximiliano Ruiz-Galdón
- Department of Biochemistry and Molecular Biology. Faculty of Medicine. University of Malaga, Spain; Clinical Analysis Service, Hospital Universitario Virgen de la Victoria, Malaga, Spain; The Biomedical Research Institute of Malaga (IBIMA), Malaga, Spain
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Baskaran AB, Grebenciucova E, Shoemaker T, Graham EL. Current Updates on the Diagnosis and Management of Multiple Sclerosis for the General Neurologist. J Clin Neurol 2023; 19:217-229. [PMID: 37151139 PMCID: PMC10169923 DOI: 10.3988/jcn.2022.0208] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 11/04/2022] [Accepted: 01/04/2023] [Indexed: 05/09/2023] Open
Abstract
Multiple sclerosis (MS) is an immune-driven disease that affects the central nervous system and is characterized by acute-on-chronic demyelination attacks. It is a major cause of global neurological disability, and its prevalence has increased in the United States. Conceptual understandings of MS have evolved over time, including the identification of B cells as key factors in its pathophysiology. The foundation of MS management involves preventing flares so as to avoid long-term functional decline. Treatments may be categorized into low-, middle-, and high-efficacy medications based on their efficacy in relapse prevention. With 24 FDA-approved treatments for MS, individual therapy is chosen based on distinct mechanisms and potential side effects. This review provides a detailed update on the epidemiology, diagnosis, treatment advances, and major ongoing research investigations in MS.
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Affiliation(s)
| | - Elena Grebenciucova
- Division of Neuroimmunology, Division of Neuroinfectious Diseases, Northwestern University, Chicago, IL, USA
| | | | - Edith L Graham
- Division of Neuroimmunology, Division of Neuroinfectious Diseases, Northwestern University, Chicago, IL, USA.
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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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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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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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10
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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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11
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Cutellè C, Balducci C, Cereda D, Fusco ML, Iacobucci D, Perugini J, Pirro F, Brivio R, Bernasconi DP, Ferrarese C, Frigo M, Cavaletti G. K index utility as diagnostic and prognostic biomarker in the assessment of patients with suspected Multiple Sclerosis. J Neuroimmunol 2022; 373:577992. [PMID: 36335693 DOI: 10.1016/j.jneuroim.2022.577992] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 09/02/2022] [Accepted: 10/23/2022] [Indexed: 11/06/2022]
Abstract
The aim of the present study is to evaluate the composite role of k index in the initial assessment of Multiple Sclerosis (MS) patients and to select useful cut-offs exportable in clinical practice. We analysed CSF/serum samples of 140 patients and followed-up the CIS/MS subgroup for 7 years. Our results suggest κ index as a quantitative diagnostic and prognostic biomarker in MS, significantly associated to baseline lesion load and to successive clinical course. We propose k index ≥106 as a prognostic cut-off to select patients at major risk of relapse, potentially influencing initial therapeutic decisions.
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Affiliation(s)
- Claudia Cutellè
- Neuroimmunology Unit and Department of Neurology, San Gerardo Hospital, Monza, Italy; Experimental Neurology Unit, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy; NeuroMI (Milan Center for Neuroscience), Milan, Italy.
| | - Claudia Balducci
- Neuroimmunology Unit and Department of Neurology, San Gerardo Hospital, Monza, Italy
| | - Diletta Cereda
- Neuroimmunology Unit and Department of Neurology, San Gerardo Hospital, Monza, Italy
| | - Maria Letizia Fusco
- Neuroimmunology Unit and Department of Neurology, San Gerardo Hospital, Monza, Italy
| | - Davide Iacobucci
- Neuroimmunology Unit and Department of Neurology, San Gerardo Hospital, Monza, Italy; Experimental Neurology Unit, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Jacopo Perugini
- Neuroimmunology Unit and Department of Neurology, San Gerardo Hospital, Monza, Italy; Experimental Neurology Unit, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Fiammetta Pirro
- Neuroimmunology Unit and Department of Neurology, San Gerardo Hospital, Monza, Italy; Experimental Neurology Unit, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Rinaldo Brivio
- Biochemistry Laboratory, San Gerardo Hospital, Monza, Italy
| | - Davide Paolo Bernasconi
- Bicocca Bioinformatics Biostatistics and Bioimaging Centre - B4, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Carlo Ferrarese
- Neuroimmunology Unit and Department of Neurology, San Gerardo Hospital, Monza, Italy; Experimental Neurology Unit, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy; NeuroMI (Milan Center for Neuroscience), Milan, Italy
| | - Maura Frigo
- Neuroimmunology Unit and Department of Neurology, San Gerardo Hospital, Monza, Italy
| | - Guido Cavaletti
- Neuroimmunology Unit and Department of Neurology, San Gerardo Hospital, Monza, Italy; Experimental Neurology Unit, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy; NeuroMI (Milan Center for Neuroscience), Milan, Italy
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12
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Arneth B, Kraus J. The Use of Kappa Free Light Chains to Diagnose Multiple Sclerosis. Medicina (B Aires) 2022; 58:medicina58111512. [PMID: 36363469 PMCID: PMC9698214 DOI: 10.3390/medicina58111512] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 10/10/2022] [Accepted: 10/20/2022] [Indexed: 11/06/2022] Open
Abstract
Background: The positive implications of using free light chains in diagnosing multiple sclerosis have increasingly gained considerable interest in medical research and the scientific community. It is often presumed that free light chains, particularly kappa and lambda free light chains, are of practical use and are associated with a higher probability of obtaining positive results compared to oligoclonal bands. The primary purpose of the current paper was to conduct a systematic review to assess the up-to-date methods for diagnosing multiple sclerosis using kappa and lambda free light chains. Method: An organized literature search was performed across four electronic sources, including Google Scholar, Web of Science, Embase, and MEDLINE. The sources analyzed in this systematic review and meta-analysis comprise randomized clinical trials, prospective cohort studies, retrospective studies, controlled clinical trials, and systematic reviews. Results: The review contains 116 reports that includes 1204 participants. The final selection includes a vast array of preexisting literature concerning the study topic: 35 randomized clinical trials, 21 prospective cohort studies, 19 retrospective studies, 22 controlled clinical trials, and 13 systematic reviews. Discussion: The incorporated literature sources provided integral insights into the benefits of free light chain diagnostics for multiple sclerosis. It was also evident that the use of free light chains in the diagnosis of clinically isolated syndrome (CIS) and multiple sclerosis is relatively fast and inexpensive in comparison to other conventional state-of-the-art diagnostic methods, e.g., using oligoclonal bands (OCBs).
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Affiliation(s)
- Borros Arneth
- Institute of Laboratory Medicine and Pathobiochemistry, Molecular Diagnostics, Justus Liebig University, Feulgenstr. 12, 35392 Giessen, Germany
- Correspondence:
| | - Jörg Kraus
- Department of Laboratory Medicine, Paracelsus Medical University and Salzburger Landeskliniken, Strubergasse 21, 5020 Salzburg, Austria
- Department of Neurology, Medical Faculty, Heinrich-Heine-University Düsseldorf, Bergische Landstraße 2, 40629 Düsseldorf, Germany
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13
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Intrathecal B cell-related markers for an optimized biological investigation of multiple sclerosis patients. Sci Rep 2022; 12:16425. [PMID: 36180495 PMCID: PMC9525661 DOI: 10.1038/s41598-022-19811-3] [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: 05/31/2022] [Accepted: 09/05/2022] [Indexed: 11/13/2022] Open
Abstract
In multiple sclerosis (MS) disease, the importance of the intrathecal B cell response classically revealed as IgG oligoclonal bands (OCB) in cerebrospinal fluid (CSF) was reaffirmed again in the recently revised diagnostic criteria. We aimed to optimize Laboratory investigation by testing the performance of new B cell-related molecules in CSF (Ig free light chains (FLCκ and λ) and CXCL13 (B-Cell Attracting chemokine1)) for MS diagnosis. 320 paired (CSF-serum) samples were collected from 160 patients with MS (n = 82) and non-MS diseases (n = 78). All patients benefited from IgG index determination, OCB detection, CSF CXCL13 and FLC (κ and λ) measurement in CSF and serum for metrics calculation (κ/λ ratio, FLC-related indexes, and κFLC-intrathecal fraction (IF)). CXCL13 and FLC metrics in CSF were higher in patients with MS and positive OCB. As expected, κFLC metrics—in particular, κFLC index and κFLC IF—had the highest accuracy for MS diagnosis. κ index showed the best performance (sensitivity 83% and specificity 91.7%) at a cut-off of 14.9. Most of the FLC-related parameters were positively correlated with IgG index and the level of CXCL13. In conclusion, the quantitative, standardizable, and technically simple CSF FLCκ metrics seem to be reliable for MS diagnosis, but could not replace OCB detection. CXCL13 appears to be an effective parameter reflecting the intrathecal B cell response. An optimized way for CSF testing combining the conventional and the new B cell-related parameters is proposed in this study.
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14
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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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15
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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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16
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Alves Martins D, Lopes J, Martins da Silva A, Morais CI, Vasconcelos J, Lima I, Carneiro C, Neves E. Kappa free light chains: Diagnostic performance in multiple sclerosis and utility in a clinical laboratory. Clin Chim Acta 2022; 528:56-64. [DOI: 10.1016/j.cca.2022.01.017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 01/12/2022] [Accepted: 01/24/2022] [Indexed: 01/05/2023]
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17
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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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18
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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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López-Gómez J, Sacristán-Enciso B, Caro-Miró MA, Querol Pascual MR. Clinically isolated syndrome: diagnosis and risk of developing clinically definite multiple sclerosis. Neurologia 2021; 38:S0213-4853(21)00028-1. [PMID: 33757657 DOI: 10.1016/j.nrl.2021.01.011] [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: 11/08/2020] [Accepted: 01/01/2021] [Indexed: 11/26/2022] Open
Abstract
INTRODUCTION In most cases, multiple sclerosis (MS) initially presents as clinically isolated syndrome (CIS). Differentiating CIS from other acute or subacute neurological diseases and estimating the risk of progression to clinically definite MS is essential since presenting a second episode in a short time is associated with poorer long-term prognosis. DEVELOPMENT We conducted a literature review to evaluate the usefulness of different variables in improving diagnostic accuracy and predicting progression from CIS to MS, including magnetic resonance imaging (MRI) and such biofluid markers as oligoclonal IgG and IgM bands, lipid-specific oligoclonal IgM bands in the CSF, CSF kappa free light-chain (KFLC) index, neurofilament light chain (NfL) in the CSF and serum, and chitinase 3-like protein 1 (CHI3L1) in the CSF and serum. CONCLUSIONS Codetection of oligoclonal IgG bands and MRI lesions reduces diagnostic delays and suggests a high risk of CIS progression to MS. A KFLC index > 10.6 and CSF NfL concentrations > 1150 ng/L indicate that CIS is more likely to progress to MS within one year (40-50%); 90% of patients with CIS and serum CHI3L1 levels > 33 ng/mL and 100% of those with lipid-specific oligoclonal IgM bands present MS within one year of CIS onset.
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Affiliation(s)
- J López-Gómez
- Unidad de Proteínas, Servicio de Análisis Clínicos, Hospital Universitario de Badajoz, Badajoz, España.
| | - B Sacristán-Enciso
- Sección de Proteínas y Autoinmunidad, Servicio de Análisis Clínicos, Hospital de Mérida, Badajoz, España
| | - M A Caro-Miró
- Servicio de Análisis Clínicos, Hospital Universitario de Badajoz, Badajoz, España
| | - M R Querol Pascual
- Servicio de Neurología. Hospital Universitario de Badajoz, Badajoz, España
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20
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Wienholt L, Kane A, Adelstein S, Richardson A, Kothur K, Brilot F, Dale RC. Cerebrospinal fluid free light chain quantitation is a specific biomarker for inflammatory neurological disorders in a paediatric patient cohort. Pathology 2021; 53:753-758. [PMID: 33745701 DOI: 10.1016/j.pathol.2020.11.011] [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: 06/03/2020] [Revised: 08/24/2020] [Accepted: 11/23/2020] [Indexed: 11/19/2022]
Abstract
The analysis of cerebrospinal fluid (CSF) is routinely used in the diagnostic work-up of a range of inflammatory, infective, and congenital neurological conditions. Many diagnostic tests used in this analysis have poor sensitivity; as such, we investigated the utility of CSF free light chain (FLC) analysis as an adjunct to currently used assays in a paediatric population with neurological disorders. Kappa (κ) and lambda (λ) FLC levels were quantitated in blinded CSF samples by two nephelometric platforms. Results were correlated to clinical diagnoses and classified according to inflammatory/infective or non-inflammatory pathogenesis. FLC results were also compared to currently used CSF diagnostic tests including oligoclonal bands (OCB), CSF IgG and albumin levels, and differential cell count. Of 70 samples analysed, 29 (41%) had an inflammatory or infective diagnosis and 41 (59%) presented with a range of non-inflammatory aetiologies. Thirteen patients had elevated κFLC or λFLC as detected on the IMMAGE 800, defined as greater than the detection limit of the assay (0.600 mg/L for CSF κFLC, and 0.490 mg/L for CSF λFLC), and of these 12 (92%) had an inflammatory disease (sensitivity 41.4%, specificity 97.6%). On the BN II using optimal cut-offs of 0.27 mg/L and 0.12 mg/L for CSF κFLC and λFLC respectively, 24 (34%) patients had elevated results, of which 21 (88%) had an inflammatory disease (sensitivity 72.4%, specificity 92.7%). Analysis of FLC correlated better with diagnostic classification of the diseases than OCB, cell counts and CSF IgG levels. The results of this study support the use of CSF FLC analysis in the diagnosis of paediatric neuroinflammatory conditions.
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Affiliation(s)
- Louise Wienholt
- Department of Clinical Immunology and Allergy, Royal Prince Alfred Hospital, Camperdown, NSW, Australia; Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.
| | - Alisa Kane
- Department of Clinical Immunology and Allergy, Royal Prince Alfred Hospital, Camperdown, NSW, Australia; Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Stephen Adelstein
- Department of Clinical Immunology and Allergy, Royal Prince Alfred Hospital, Camperdown, NSW, Australia; Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Alexander Richardson
- Department of Clinical Immunology and Allergy, Royal Prince Alfred Hospital, Camperdown, NSW, Australia
| | - Kavitha Kothur
- Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia; School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Fabienne Brilot
- School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia; Brain Autoimmunity Lab, Kids Neuroscience Centre, Kids Research, The Children's Hospital at Westmead, Westmead, NSW, Australia
| | - Russell C Dale
- Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia; Brain Autoimmunity Lab, Kids Neuroscience Centre, Kids Research, The Children's Hospital at Westmead, Westmead, NSW, Australia; T.Y. Nelson Department of Neurology and Neurosurgery, The Children's Hospital at Westmead, Westmead, NSW, Australia
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21
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Salavisa M, Paixão P, Ladeira AF, Mendes A, Correia AS, Viana JF, Viana-Baptista M. Prognostic value of kappa free light chains determination in first-ever multiple sclerosis relapse. J Neuroimmunol 2020; 347:577355. [PMID: 32795735 DOI: 10.1016/j.jneuroim.2020.577355] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Revised: 07/16/2020] [Accepted: 07/31/2020] [Indexed: 02/02/2023]
Abstract
Given its highly variable clinical course, an unmet need for objective prognostic assessment in Multiple Sclerosis (MS) persists. In this work, we suggest that CSF kappa free light chains (KFLC) determination at first relapse may provide insight into future disease activity and disability worsening. We quantified KFLC by nephelometry in paired CSF/serum samples of 28 patients, collected within one month of first-ever MS relapse, and explored correlations with clinical data on disease activity, retrospectively registered across a median follow-up time of 79 months. We documented KFLC ratio (CSF-FKLC/Serum-KFLC) as an independent predictor of second relapse occurrence and disability worsening at follow-up, in this cohort.
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Affiliation(s)
- Manuel Salavisa
- Neurology Department, Hospital Egas Moniz, Centro Hospitalar Lisboa Ocidental, Portugal.
| | - Pedro Paixão
- Clinical Pathology Department, Hospital São Francisco Xavier, Centro Hospitalar Lisboa Ocidental, Portugal
| | - Ana Filipa Ladeira
- Neurology Department, Hospital dos Capuchos, Centro Hospitalar Lisboa Central, Portugal
| | - Alexandra Mendes
- Clinical Pathology Department, Hospital São Francisco Xavier, Centro Hospitalar Lisboa Ocidental, Portugal
| | - Ana Sofia Correia
- Neurology Department, Hospital Egas Moniz, Centro Hospitalar Lisboa Ocidental, Portugal; NOVA Medical School, Universidade Nova de Lisboa, Portugal
| | - João Faro Viana
- Clinical Pathology Department, Hospital São Francisco Xavier, Centro Hospitalar Lisboa Ocidental, Portugal; NOVA Medical School, Universidade Nova de Lisboa, Portugal
| | - Miguel Viana-Baptista
- Neurology Department, Hospital Egas Moniz, Centro Hospitalar Lisboa Ocidental, Portugal; NOVA Medical School, Universidade Nova de Lisboa, Portugal
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22
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Wilf-Yarkoni A, Alkalay Y, Brenner T, Karni A. High κ free light chain is a potential biomarker for double seronegative and ocular myasthenia gravis. NEUROLOGY-NEUROIMMUNOLOGY & NEUROINFLAMMATION 2020; 7:7/5/e831. [PMID: 32665296 PMCID: PMC7371374 DOI: 10.1212/nxi.0000000000000831] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/29/2020] [Accepted: 05/29/2020] [Indexed: 12/21/2022]
Abstract
OBJECTIVE To investigate the hypothesis that free light chain (FLC) sera levels could serve as a biomarker for myasthenia gravis (MG), especially for the subgroups of seronegative MG and ocular MG. METHODS Sera from 73 patients with MG (20 seronegative for antiacetylcholine receptor [AChR] and anti-muscle-specific kinase and 53 positive for anti-AChR, which were clinically divided into 24 patients with ocular type, 45 with generalized type, and 4 with unequivocal clinical manifestation) and 49 healthy controls were studied for κ FLC and λ FLC levels with the Freelite human FLC kits. RESULTS The κ but not the λ levels of FLC were significantly increased in the patients with MG, including those with double seronegative MG and ocular MG, compared with the healthy controls. The specificity for double seronegative MG and ocular MG were both 98.0% when κ FLC was ≥25.0 mg/L. Increased κ FLC levels were not affected by the patient's sex, age at MG onset, the presence of thymic pathology, or different treatments. CONCLUSIONS Elevated serum κ FLC may serve as a biomarker for MG in suspected patients who are double seronegative and in those with only ocular manifestations when serology is inconclusive. CLASSIFICATION OF EVIDENCE This study provides Class III evidence that high κ FLC levels distinguished patients with MG, including those who were double seronegative, from healthy controls.
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Affiliation(s)
- Adi Wilf-Yarkoni
- From the Neuroimmunology and Multiple Sclerosis Unit of the Neurology Division (A.W.-Y., A.K.), Tel Aviv Sourasky Medical Center; Clinical Immunology Laboratory (Y.A.), Tel Aviv Sourasky Medical Center; Laboratory of Neuroimmunology (T.B.), Department of Neurology, the Agnes Ginges Center for Human Neurogenetics, Hadassah-Hebrew University Medical Center, Jerusalem; Sackler Faculty of Medicine (A.K.), Tel Aviv University; and Sagol School of Neuroscience (A.K.), Tel Aviv University, Israel
| | - Yifat Alkalay
- From the Neuroimmunology and Multiple Sclerosis Unit of the Neurology Division (A.W.-Y., A.K.), Tel Aviv Sourasky Medical Center; Clinical Immunology Laboratory (Y.A.), Tel Aviv Sourasky Medical Center; Laboratory of Neuroimmunology (T.B.), Department of Neurology, the Agnes Ginges Center for Human Neurogenetics, Hadassah-Hebrew University Medical Center, Jerusalem; Sackler Faculty of Medicine (A.K.), Tel Aviv University; and Sagol School of Neuroscience (A.K.), Tel Aviv University, Israel
| | - Talma Brenner
- From the Neuroimmunology and Multiple Sclerosis Unit of the Neurology Division (A.W.-Y., A.K.), Tel Aviv Sourasky Medical Center; Clinical Immunology Laboratory (Y.A.), Tel Aviv Sourasky Medical Center; Laboratory of Neuroimmunology (T.B.), Department of Neurology, the Agnes Ginges Center for Human Neurogenetics, Hadassah-Hebrew University Medical Center, Jerusalem; Sackler Faculty of Medicine (A.K.), Tel Aviv University; and Sagol School of Neuroscience (A.K.), Tel Aviv University, Israel
| | - Arnon Karni
- From the Neuroimmunology and Multiple Sclerosis Unit of the Neurology Division (A.W.-Y., A.K.), Tel Aviv Sourasky Medical Center; Clinical Immunology Laboratory (Y.A.), Tel Aviv Sourasky Medical Center; Laboratory of Neuroimmunology (T.B.), Department of Neurology, the Agnes Ginges Center for Human Neurogenetics, Hadassah-Hebrew University Medical Center, Jerusalem; Sackler Faculty of Medicine (A.K.), Tel Aviv University; and Sagol School of Neuroscience (A.K.), Tel Aviv University, Israel.
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23
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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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24
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Kappa free light chains index in the differential diagnosis of Multiple Sclerosis from Neuromyelitis optica spectrum disorders and other immune-mediated central nervous system disorders. J Neuroimmunol 2020; 339:577122. [DOI: 10.1016/j.jneuroim.2019.577122] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2019] [Revised: 11/30/2019] [Accepted: 12/02/2019] [Indexed: 11/20/2022]
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25
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Ferraro D, Trovati A, Bedin R, Natali P, Franciotta D, Santangelo M, Camera V, Vitetta F, Varani M, Trenti T, Gastaldi M, De Biasi S, Nasi M, Pinti M, Meletti S, Sola P. Cerebrospinal fluid kappa and lambda free light chains in oligoclonal band‐negative patients with suspected multiple sclerosis. Eur J Neurol 2019; 27:461-467. [DOI: 10.1111/ene.14121] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Accepted: 11/04/2019] [Indexed: 12/20/2022]
Affiliation(s)
- D. Ferraro
- Neurology Unit Azienda Ospedaliero‐Universitaria of Modena Modena
- Department of Biomedical, Metabolic and Neurosciences University of Modena and Reggio Emilia Modena
| | - A. Trovati
- Neurology Unit Azienda Ospedaliero‐Universitaria of Modena Modena
| | - R. Bedin
- Department of Biomedical, Metabolic and Neurosciences University of Modena and Reggio Emilia Modena
| | - P. Natali
- Department of Laboratory Medicine Azienda Ospedaliero‐Universitaria and Azienda Unità Sanitaria Locale Modena
| | - D. Franciotta
- Neuroimmunology Laboratory IRCCS Mondino Foundation Pavia
| | | | - V. Camera
- Department of Biomedical, Metabolic and Neurosciences University of Modena and Reggio Emilia Modena
| | - F. Vitetta
- Neurology Unit Azienda Ospedaliero‐Universitaria of Modena Modena
| | - M. Varani
- Department of Laboratory Medicine Azienda Ospedaliero‐Universitaria and Azienda Unità Sanitaria Locale Modena
| | - T. Trenti
- Department of Laboratory Medicine Azienda Ospedaliero‐Universitaria and Azienda Unità Sanitaria Locale Modena
| | - M. Gastaldi
- Neuroimmunology Laboratory IRCCS Mondino Foundation Pavia
| | - S. De Biasi
- Department of Life Sciences University of Modena and Reggio Emilia Modena
| | - M. Nasi
- Department of Surgery, Medicine Dentistry and Morphological Sciences University of Modena and Reggio Emilia Modena Italy
| | - M. Pinti
- Department of Life Sciences University of Modena and Reggio Emilia Modena
| | - S. Meletti
- Neurology Unit Azienda Ospedaliero‐Universitaria of Modena Modena
- Department of Biomedical, Metabolic and Neurosciences University of Modena and Reggio Emilia Modena
| | - P. Sola
- Neurology Unit Azienda Ospedaliero‐Universitaria of Modena Modena
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26
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Mancini A, Brunetti A, Bruno C, Vergani E, Pocino K, Napodano C, Gulli F, Santini SA, Basile U. Plasmatic free light chains in polycystic ovary syndrome. Gynecol Endocrinol 2019; 35:710-713. [PMID: 30835572 DOI: 10.1080/09513590.2019.1581759] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Polycystic ovary syndrome (PCOS), as systemic disease, is accompanied by different indexes of inflammation. Free light chains of immunoglobulins (FLCs), produced by plasmacells, are released in slight excess for the immune requests, with still poorly defined physiological role but surely they represent a marker of inflammation. In order to evaluate their levels and correlate them with hyperandrogenism, we have studied a group of PCOS patients, age range 18-37 yrs, mean ± SEM body mass index (BMI) 24.1 ± 0.9 kg/m2), compared with age- and BMI-matched controls, with assay of k and λ FLCs, by turbidimetric method, and their ratio in blood plasma. PCOs exhibited higher levels vs. controls: (mean ± SEM λ: 10.0 ± 0.85 mg/L vs. 8.41 ± 0.45 mg/L; k: 12.45 ± 0.72 mg/L vs. 6.41 ± 0.34 mg/L; k/λ: 1.31 ± 0.07 vs. 0.78 ± 0.04). A significant direct correlation was observed between λ-FLCs and testosterone levels, no correlation was indeed found with HOMA-IR index. These data confirm high levels of FLCs in PCOS, suggesting systemic inflammatory state and a possible role in the pathophysiology of such complex syndrome.
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Affiliation(s)
- Antonio Mancini
- a Operative Unit of Endocrinology , Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore , Rome , Italy
| | - Alessandro Brunetti
- a Operative Unit of Endocrinology , Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore , Rome , Italy
| | - Carmine Bruno
- a Operative Unit of Endocrinology , Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore , Rome , Italy
| | - Edoardo Vergani
- a Operative Unit of Endocrinology , Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore , Rome , Italy
| | - Krizia Pocino
- b Department of Internal Medicine , Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore , Rome , Italy
| | - Cecilia Napodano
- b Department of Internal Medicine , Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore , Rome , Italy
| | | | - Stefano Angelo Santini
- d Institute of Biochemistry and Clinical Biochemistry , Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore , Rome , Italy
| | - Umberto Basile
- e Area di Medicina di Laboratorio , Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore , Rome , Italy
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27
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Castle D, Wynford-Thomas R, Loveless S, Bentley E, Howell OW, Tallantyre EC. Using biomarkers to predict clinical outcomes in multiple sclerosis. Pract Neurol 2019; 19:342-349. [PMID: 31243138 DOI: 10.1136/practneurol-2018-002000] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/25/2019] [Indexed: 11/04/2022]
Abstract
Long-term outcomes in multiple sclerosis (MS) are highly varied and treatment with disease-modifying therapies carries significant risks. Finding tissue biomarkers that can predict clinical outcomes would be valuable in individualising treatment decisions for people with MS. Several candidate biomarkers-reflecting inflammation, neurodegeneration and glial pathophysiology-show promise for predicting outcomes. However, many candidates still require validation in cohorts with long-term follow-up and evaluation for their independent contribution in predicting outcome when models are adjusted for known demographic, clinical and radiological predictors. Given the complexity of MS pathophysiology, heterogeneous panels comprising a combination of biomarkers that encompass the various aspects of neurodegenerative, glial and immune pathology seen in MS, may enhance future predictions of outcome.
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Affiliation(s)
- Daniel Castle
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK.,Helen Durham Centre for Neuroinflammation, University Hospital of Wales, Cardiff, UK
| | - Ray Wynford-Thomas
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK.,Helen Durham Centre for Neuroinflammation, University Hospital of Wales, Cardiff, UK
| | - Sam Loveless
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK.,Helen Durham Centre for Neuroinflammation, University Hospital of Wales, Cardiff, UK
| | - Emily Bentley
- Helen Durham Centre for Neuroinflammation, University Hospital of Wales, Cardiff, UK
| | - Owain W Howell
- Institute of Life Science (ILS), Swansea University Medical School, Swansea, UK
| | - Emma C Tallantyre
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK .,Helen Durham Centre for Neuroinflammation, University Hospital of Wales, Cardiff, UK
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28
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Lo Sasso B, Agnello L, Bivona G, Bellia C, Ciaccio M. Cerebrospinal Fluid Analysis in Multiple Sclerosis Diagnosis: An Update. ACTA ACUST UNITED AC 2019; 55:medicina55060245. [PMID: 31167509 PMCID: PMC6630948 DOI: 10.3390/medicina55060245] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2019] [Revised: 04/10/2019] [Accepted: 05/30/2019] [Indexed: 01/11/2023]
Abstract
Multiple sclerosis (MS) is an immune-mediated demyelinating disease of the central nervous system (CNS) with brain neurodegeneration. MS patients present heterogeneous clinical manifestations in which both genetic and environmental factors are involved. The diagnosis is very complex due to the high heterogeneity of the pathophysiology of the disease. The diagnostic criteria have been modified several times over the years. Basically, they include clinical symptoms, presence of typical lesions detected by magnetic resonance imaging (MRI), and laboratory findings. The analysis of cerebrospinal fluid (CSF) allows an evaluation of inflammatory processes circumscribed to the CNS and reflects changes in the immunological pattern due to the progression of the pathology, being fundamental in the diagnosis and monitoring of MS. The detection of the oligoclonal bands (OCBs) in both CSF and serum is recognized as the “gold standard” for laboratory diagnosis of MS, though presents analytical limitations. Indeed, current protocols for OCBs assay are time-consuming and require an operator-dependent interpretation. In recent years, the quantification of free light chain (FLC) in CSF has emerged to assist clinicians in the diagnosis of MS. This article reviews the current knowledge on CSF biomarkers used in the diagnosis of MS, in particular on the validated assays and on the alternative biomarkers of intrathecal synthesis.
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Affiliation(s)
- Bruna Lo Sasso
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, 90100 Palermo, Italy.
| | - Luisa Agnello
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, 90100 Palermo, Italy.
| | - Giulia Bivona
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, 90100 Palermo, Italy.
| | - Chiara Bellia
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, 90100 Palermo, Italy.
| | - Marcello Ciaccio
- Institute of Clinical Biochemistry, Clinical Molecular Medicine and Laboratory Medicine, Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, 90100 Palermo, Italy.
- Department Laboratory Medicine, University-Hospital, 90100 Palermo, Italy.
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29
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Martellosio JP, Leleu X, Roblot P, Martin M, Puyade M. Dosage des chaînes légères libres : indications et méthodes. Rev Med Interne 2019; 40:297-305. [DOI: 10.1016/j.revmed.2019.01.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2018] [Revised: 01/04/2019] [Accepted: 01/20/2019] [Indexed: 12/18/2022]
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30
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Senel M, Mojib-Yezdani F, Braisch U, Bachhuber F, Lewerenz J, Ludolph AC, Otto M, Tumani H. CSF Free Light Chains as a Marker of Intrathecal Immunoglobulin Synthesis in Multiple Sclerosis: A Blood-CSF Barrier Related Evaluation in a Large Cohort. Front Immunol 2019; 10:641. [PMID: 30984199 PMCID: PMC6449445 DOI: 10.3389/fimmu.2019.00641] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2018] [Accepted: 03/08/2019] [Indexed: 01/22/2023] Open
Abstract
Objectives: The importance of immunoglobulin G (IgG) oligoclonal bands (OCB) in the diagnosis of multiple sclerosis (MS) was reaffirmed again in the recently revised MS diagnostic criteria. Since OCB testing is based on non-quantitative techniques and demands considerable methodological experience, measurement of CSF immunoglobulin free light chains (FLC) has been suggested as quantitative alternative to OCB. We aimed to establish reference values for FLC measures and evaluate their diagnostic accuracy with regard to the diagnosis of MS. Methods: Immunoglobulin kappa (KFLC) and lambda (LFLC) free light chains were prospectively measured by nephelometry in CSF and serum sample pairs in 1,224 patients. The analyzed cohort included patients with MS, other autoimmune or infectious inflammatory diseases of the nervous system as well as 989 patients without signs for nervous system inflammation. Results: Regarding diagnosis of MS, the diagnostic sensitivity and specificity of intrathecal KFLC ratio were 93.3 and 93.7% using the CSF-serum albumin ratio-dependent reference values, 92.0 and 95.9% for intrathecal KFLC ratio applying the ROC-curve determined cut-off levels, 62.7 and 98.3% for IgG index, 64.0 and 98.8% for intrathecal IgG synthesis according to Reiber diagrams, and 94.7 and 93.3% for OCB. Diagnostic sensitivity and specificity of intrathecal LFLC were clearly lower than KFLC. Conclusions: Intrathecal KFLC and OCB showed the highest diagnostic sensitivities for MS. However, specificity was slightly lower compared to other quantitative IgG parameters. Consequently, CSF FLC may not replace OCB, but it may support diagnosis in MS as a quantitative parameter.
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Affiliation(s)
- Makbule Senel
- Department of Neurology, University of Ulm, Ulm, Germany
| | | | - Ulrike Braisch
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | | | - Jan Lewerenz
- Department of Neurology, University of Ulm, Ulm, Germany
| | | | - Markus Otto
- Department of Neurology, University of Ulm, Ulm, Germany
| | - Hayrettin Tumani
- Department of Neurology, University of Ulm, Ulm, Germany.,Specialty Hospital of Neurology Dietenbronn, Schwendi, Germany
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31
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Kaplan B, Ganelin-Cohen E, Golderman S, Livneh A. Diagnostic utility of kappa free light chains in multiple sclerosis. Expert Rev Mol Diagn 2019; 19:277-279. [DOI: 10.1080/14737159.2019.1586535] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Affiliation(s)
- Batia Kaplan
- Heller Institute of Medical Research, Sheba Medical Center, Tel-Hashomer, Ramat Gan, Israel
| | - Esther Ganelin-Cohen
- Institute of Pediatric Neurology, Schneider Children’s Medical Center, Petach Tikva, Israel
- Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Sizilia Golderman
- Heller Institute of Medical Research, Sheba Medical Center, Tel-Hashomer, Ramat Gan, Israel
| | - Avi Livneh
- Heller Institute of Medical Research, Sheba Medical Center, Tel-Hashomer, Ramat Gan, Israel
- Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel
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32
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Menéndez-Valladares P, García-Sánchez MI, Adorna Martínez M, García De Veas Silva JL, Bermudo Guitarte C, Izquierdo Ayuso G. Validation and meta-analysis of kappa index biomarker in multiple sclerosis diagnosis. Autoimmun Rev 2019; 18:43-49. [DOI: 10.1016/j.autrev.2018.07.010] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2018] [Accepted: 07/19/2018] [Indexed: 01/23/2023]
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33
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Shedko ED, Tyumentseva MA. Cerebrospinal fluid molecular biomarkers of multiple sclerosis. Zh Nevrol Psikhiatr Im S S Korsakova 2019; 119:95-102. [DOI: 10.17116/jnevro201911907195] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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34
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Intrathecal immunoglobulin synthesis: The potential value of an adjunct test. Clin Chim Acta 2018; 489:109-116. [PMID: 30529605 DOI: 10.1016/j.cca.2018.12.006] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2018] [Revised: 11/14/2018] [Accepted: 12/07/2018] [Indexed: 10/27/2022]
Abstract
BACKGROUND Detection of cerebrospinal fluid (CSF) specific oligoclonal bands (OCB) supports the diagnosis of multiple sclerosis (MS), but the method is technically demanding and gives only qualitative information. Kappa free light chains (KFLC) quantification could represent a convenient alternative. We evaluated the diagnostic accuracy of OCB and KFLC in our cohort to further estimate the gain in diagnostic performance when combining both of them. METHODS KFLC were measured in paired serum and CSF samples of 80 patients with MS and 50 patients with non-inflammatory neurological disorders. OCB were detected using an in-house alkaline phosphatase assay. Likelihood ratio (LR) was used to explore the benefit of the combined KFLC and OCB test. RESULTS Sensitivity of KFLC index (≥5.3) and intrathecal KFLC fraction (≥10%) was 96% and 95% respectively, compared to 91% sensitivity of OCB assay. Specificity was 96% for intrathecal KFLC synthesis and 98% for OCB. Probability of MS in the absence of OCB was further reduced with concurrently normal KFLC index. CONCLUSIONS Normal KFLC parameters allow confident exclusion of intrathecal inflammation, but probability of MS is greater with positive OCB. Use of KFLC as an adjunct test might be beneficial in specialized MS centers with larger pretest probability.
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35
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Valencia-Vera E, Martinez-Escribano Garcia-Ripoll A, Enguix A, Abalos-Garcia C, Segovia-Cuevas MJ. Application of κ free light chains in cerebrospinal fluid as a biomarker in multiple sclerosis diagnosis: development of a diagnosis algorithm. Clin Chem Lab Med 2018; 56:609-613. [PMID: 29087953 DOI: 10.1515/cclm-2017-0285] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2017] [Accepted: 09/18/2017] [Indexed: 01/05/2023]
Abstract
BACKGROUND The determination of κ free light chains (KFLC) in cerebrospinal fluid (CSF) by nephelometry is a feasible alternative to immunoglobulin G oligoclonal bands (OCB) in the evaluation of intrathecal synthesis of immunoglobulin in multiple sclerosis (MS) and other demyelinating diseases. The aim of this study was to assess the diagnostic value of KFLC and its inclusion in a procedure algorithm along with OCB interpretation. METHODS A cross-sectional study, which included 123 patients with a CSF OCB request, was carried out. Isoelectric focusing followed by immunofixation was used to detect OCB, and nephelometry was used to analyze KFLC. The KFLC index was calculated using CSF/serum quotient of KFLC and albumin. The KFLC index was compared with MS diagnosis to find the optimal cutoff. It was obtained from the receiver operating characteristic (ROC) curves and the Youden method. RESULTS The CSF KFLC median was 1.66 mg/L in the MS group, whereas in other central nervous system diseases, KFLC showed generally no or only moderate increase in CSF (median 0.10 mg/L). KFLC index showed a significant difference between groups. ROC analysis for CSF KFLC concentration, and KFLC indexes were 91.88% and 93.94%, respectively. The best cutoff for the KFLC index was 2.91 for MS diagnosis (sensitivity: 83.78%; specificity: 85.88%). The proposed algorithm showed high sensitivity (89.19%) and specificity (84.71%). CONCLUSIONS KFLC determination is rapid and automatized, but it has no higher sensitivity and specificity than OCB in MS diagnosis. Nevertheless, when used in screening, it could reduce the number of manual OCB tests.
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Affiliation(s)
- Estefania Valencia-Vera
- Hospital Universitario Virgen de la Victoria, Laboratorio Clinico, Distrito Universitario Teatinos, Campus Teatinos s/n, Málaga 29010, Spain
| | | | - Alfredo Enguix
- Hospital Universitario Virgen de la Victoria, Laboratorio Clinico, Distrito Universitario Teatinos, Málaga, Spain
| | - Carmen Abalos-Garcia
- Hospital Universitario Virgen de la Victoria, Laboratorio Clinico, Distrito Universitario Teatinos, Málaga, Spain
| | - Maria Jesus Segovia-Cuevas
- Hospital Universitario Virgen de la Victoria, Laboratorio Clinico, Distrito Universitario Teatinos, Málaga, Spain
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36
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Validation of CSF free light chain in diagnosis and prognosis of multiple sclerosis and clinically isolated syndrome: prospective cohort study in Buenos Aires. J Neurol 2018; 266:112-118. [PMID: 30386877 DOI: 10.1007/s00415-018-9106-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2018] [Revised: 10/26/2018] [Accepted: 10/27/2018] [Indexed: 10/28/2022]
Abstract
BACKGROUND The objective was to evaluate the precision of kappa and lambda free light chains (KFLC and LFLC) in CSF for the diagnosis of multiple sclerosis (MS) and prognosis of clinically isolated syndrome (CIS). METHODS CSF and serum samples from CIS, MS and other neurological non-MS disease were collected between 2015 and 2017. FLC concentrations were measured using immunoassay Freelite™. Results were correlated with the patients' diagnoses and ROC curve analysis was used to determine accuracy. In CIS patients, analysis of FLC were compared in CIS converters vs. non-converter during follow-up. RESULTS In the MS group (n = 41), the optimal cut-off for KFLC determined was 7 mg/L, with a diagnostic sensitivity and specificity of 95% and 97%, respectively. The optimal cut-off for LFLC was 0.7 mg/L, with a diagnostic sensitivity and specificity of 71% and 81%, respectively. 36 CIS patients were included; mean follow-up time was 28 ± 9 months, and 22 (61.1%) patients converted to MS. The median concentration of CSF K and LFLCs at CIS diagnosis was slightly higher in CIS-converters compared to non-converters, but this did not reach statistical significance (KFLC: median 7 ± 5.3 mg/L vs. 5 ± 2.3 mg/L, p = 0.11; LFLC 0.7 ± 0.33 mg/L vs. 0.5 ± 0.23 mg/L p = 0.16). A strong correlation was observed between the concentration of K and L FLCs at diagnosis and the change in PBVC during follow-up (r = 0.72 and r = 0.65, respectively). CONCLUSION KFLCs have a high sensitivity and specificity for the diagnosis of MS. FLC concentrations at CIS diagnosis were not significantly higher in CIS-converters.
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Rathbone E, Durant L, Kinsella J, Parker AR, Hassan-Smith G, Douglas MR, Curnow SJ. Cerebrospinal fluid immunoglobulin light chain ratios predict disease progression in multiple sclerosis. J Neurol Neurosurg Psychiatry 2018; 89:1044-1049. [PMID: 29743290 PMCID: PMC6166608 DOI: 10.1136/jnnp-2018-317947] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2018] [Revised: 03/19/2018] [Accepted: 04/04/2018] [Indexed: 12/16/2022]
Abstract
OBJECTIVE To determine whether the ratio of cerebrospinal fluid (CSF) immunoglobulin kappa to lambda light chains at time of multiple sclerosis (MS) diagnosis predicts disease progression and whether this was intrinsic to CSF plasmablasts. METHODS CSF and peripheral blood were obtained from patients undergoing elective diagnostic lumbar puncture and included clinically isolated syndrome (CIS) (n=43), relapsing remitting MS (RRMS; n=50), primary progressive MS (PPMS; n=20) and other neurological disease controls, both inflammatory (ONID; n=23) and non-inflammatory (OND; n=114). CSF samples were assayed for free and immunoglobulin-associated light chains and on B cells and plasmablasts. Clinical follow-up data were collected during a 5-year follow-up period where available. RESULTS There was an increased median CSF κ:λ free light chain (FLC) in all MS groups (CIS: 18.2, 95% CI 6.8 to 30.3; RRMS: 4.4, 95% CI 2.7 to 11.4; PPMS: 12.0, 95% CI 3.6 to 37.1) but not controls (OND: 1.61, 95% CI 1.4 to 1.9; ONID: 1.7, 95% CI 1.3 to 2.2; p<0.001). This ratio predicted Expanded Disability Status Scores (EDSS) progression at 5 years, with a lower median EDSS in the group with high (>10) CSF κ:λ FLC (0.0, 95% CI 0 to 2.5 vs 2.5, 95% CI 0 to 4, high vs low; p=0.049). CSF κ:λ FLC correlated with CSF IgG1 κ:λ (r=0.776; p<0.0001) and was intrinsic to CSF plasmablasts (r=0.65; p=0.026). CONCLUSIONS These data demonstrate that CSF immunoglobulin κ:λ ratios, determined at the time of diagnostic lumbar puncture, predict MS disease progression and may therefore be useful prognostic markers for early therapeutic stratification.
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Affiliation(s)
- Emma Rathbone
- Centre for Translational Inflammation Research Institute of Inflammation and Ageing, College of Medical and Dental Sciences University of Birmingham, Birmingham, UK
| | - Lindsay Durant
- Centre for Translational Inflammation Research Institute of Inflammation and Ageing, College of Medical and Dental Sciences University of Birmingham, Birmingham, UK
| | - James Kinsella
- Centre for Translational Inflammation Research Institute of Inflammation and Ageing, College of Medical and Dental Sciences University of Birmingham, Birmingham, UK
| | | | - Ghaniah Hassan-Smith
- Centre for Translational Inflammation Research Institute of Inflammation and Ageing, College of Medical and Dental Sciences University of Birmingham, Birmingham, UK
| | - Michael R Douglas
- Department of Neurology, Dudley Group NHS Foundation Trust, Russells Hall Hospital, Birmingham, UK.,School of Life and Health Sciences, Aston University, Birmingham, UK
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Bayart JL, Muls N, van Pesch V. Free Kappa light chains in neuroinflammatory disorders: Complement rather than substitute? Acta Neurol Scand 2018; 138:352-358. [PMID: 29900542 DOI: 10.1111/ane.12969] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/23/2018] [Indexed: 12/22/2022]
Abstract
OBJECTIVES The detection of cerebrospinal fluid (CSF)-specific IgG oligoclonal bands (OCB) by isoelectric focusing (IEF) is widely used to help diagnose inflammatory neurological disorders (IND), including multiple sclerosis. However, the quantification of free light chains (FLC) is increasingly evaluated as a surrogate method to determine the presence of an intrathecal inflammatory process. The objective of this study was to evaluate the diagnostic performance of kappa (κ) FLC measurement in comparison with OCB detection by IEF. MATERIAL AND METHODS We measured serum and CSF κFLCs by turbidimetry using the SPAplus automated analyser and calculated the κ index in 142 samples from OCB-positive and negative MS, as well as from patients with inflammatory and non-inflammatory neurological disorders (IND and NIND). RESULTS The κFLC index was significantly increased in OCB-positive MS and IND patients versus OCB-negative patients. Its performance was relatively comparable to that of IEF for MS diagnosis. When using a κFLC index cutoff value of 6.29, sensitivity increased from 61.2% to 75.7% in comparison with IEF for diagnosing IND (P = .0051), with a slightly lower non-statistically significant specificity (82.1% vs 100%). When considering both OCB status positivity or a κFLC index superior to 6.29 to diagnose IND status, sensitivity raised to 80.6% (P < .05) with an equal specificity. CONCLUSION Our results demonstrate that the κFLC index does not discriminate MS from other IND patients, but is a reliable technique to detect intrathecal inflammation. However, κFLC quantification should probably be considered as a complementary method, rather than a substitute, to OCB detection.
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Affiliation(s)
- J.-L. Bayart
- Cliniques Universitaires Saint-Luc; Department of Laboratory Medicine; Université Catholique de Louvain; Brussels Belgium
| | - N. Muls
- Neurochemistry Unit; Institute of Neuroscience; Université Catholique de Louvain; Brussels Belgium
| | - V. van Pesch
- Cliniques Universitaires Saint-Luc; Department of Laboratory Medicine; Université Catholique de Louvain; Brussels Belgium
- Neurochemistry Unit; Institute of Neuroscience; Université Catholique de Louvain; Brussels Belgium
- Cliniques Universitaires Saint-Luc; Neurology Department; Université Catholique de Louvain; Brussels Belgium
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39
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Christiansen M, Gjelstrup MC, Stilund M, Christensen T, Petersen T, Jon Møller H. Cerebrospinal fluid free kappa light chains and kappa index perform equal to oligoclonal bands in the diagnosis of multiple sclerosis. ACTA ACUST UNITED AC 2018; 57:210-220. [DOI: 10.1515/cclm-2018-0400] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2018] [Accepted: 06/25/2018] [Indexed: 11/15/2022]
Abstract
Abstract
Background
Detection of intrathecal immunoglobulin G (IgG) synthesis by gold standard oligoclonal bands (OCB) or IgG index remains an integral part of multiple sclerosis (MS) diagnostics, although both methods have weaknesses. Emerging evidence suggests that automated detection of free light chains (FLC) in the cerebrospinal fluid (CSF) has diagnostic performance equal to OCB. The objective of this study was to compare the diagnostic performance of CSF FLC with OCB and IgG index in a large cohort of Scandinavian patients referred for MS evaluation.
Methods
We prospectively included 230 patients suspected for MS. They are composed of patients with MS (n=96), clinically isolated syndrome (n=37), other neurological diseases (OND, n=31) and symptomatic controls (SC, n=66). CSF and serum samples were analyzed for kappa and lambda FLC, OCB and IgG index. Diagnostic performance was evaluated by receiver operating characteristic (ROC) analysis.
Results
Both the absolute concentration of CSF-kappa and the kappa index had excellent MS diagnostic performances with ROC area under the curve of 0.93 and 0.94 (MS vs. SC+OND). At the 0.42 mg/L cutoff, CSF-kappa had sensitivity and specificity of 93.8% and 85.6%, whereas sensitivity and specificity for OCB was 82.3% and 93.8% (72.9% and 95.9% for IgG index at cutoff 0.64). CSF-lambda and lambda index performed inferior to CSF-kappa and kappa index.
Conclusions
CSF-kappa and kappa index represent automated, rapid and low-cost alternatives to OCB. Using merely the absolute concentration of CSF-kappa is a logistic advantage in the clinical laboratories.
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Affiliation(s)
- Mikael Christiansen
- Department of Clinical Biochemistry , Aarhus University Hospital , Aarhus N , Denmark
| | | | - Morten Stilund
- Department of Biomedicine , Aarhus University, Bartholin Building , Aarhus C , Denmark
- Department of Neurology , Aarhus University Hospital , Aarhus C , Denmark
| | - Tove Christensen
- Department of Biomedicine , Aarhus University , Aarhus C , Denmark
| | - Thor Petersen
- Department of Neurology , Aarhus University Hospital , Aarhus C , Denmark
| | - Holger Jon Møller
- Department of Clinical Biochemistry , Aarhus University Hospital , Aarhus N , Denmark
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40
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Gurtner KM, Shosha E, Bryant SC, Andreguetto BD, Murray DL, Pittock SJ, Willrich MAV. CSF free light chain identification of demyelinating disease: comparison with oligoclonal banding and other CSF indexes. ACTA ACUST UNITED AC 2018; 56:1071-1080. [DOI: 10.1515/cclm-2017-0901] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2017] [Accepted: 01/11/2018] [Indexed: 11/15/2022]
Abstract
Abstract
Background:
Cerebrospinal fluid (CSF) used in immunoglobulin gamma (IgG) index testing and oligoclonal bands (OCBs) are common laboratory tests used in the diagnosis of multiple sclerosis. The measurement of CSF free light chains (FLC) could pose as an alternative to the labor-intensive isoelectric-focusing (IEF) gels used for OCBs.
Methods:
A total of 325 residual paired CSF and serum specimens were obtained after physician-ordered OCB IEF testing. CSF kappa (cKFLC) and lambda FLC (cLFLC), albumin and total IgG were measured. Calculations were performed based on combinations of analytes: CSF sum of kappa and lambda ([cKFLC+cLFLC]), kappa-index (K-index) ([cKFLC/sKFLC]/[CSF albumin/serum albumin]), kappa intrathecal fraction (KFLCIF) {([cKFLC/sKFLC]–[0.9358×CSF albumin/serum albumin]^[0.6687×sKFLC]/cKFLC)} and IgG-index ([CSF IgG/CSF albumin]/[serum IgG/serum albumin]).
Results:
Patients were categorized as: demyelination (n=67), autoimmunity (n=53), non-inflammatory (n=50), inflammation (n=38), degeneration (n=28), peripheral neuropathy (n=24), infection (n=13), cancer (n=11), neuromyelitis optica (n=10) and others (n=31). cKFLC measurement used alone at a cutoff of 0.0611 mg/dL showed >90% agreement to OCBs, similar or better performance than all other calculations, reducing the number of analytes and variables. When cases of demyelinating disease were reviewed, cKFLC measurements showed 86% clinical sensitivity/77% specificity.
Conclusions:
cKFLC alone demonstrates comparable performance to OCBs along with increased sensitivity for demyelinating diseases. Replacing OCB with cKFLC would alleviate the need for serum and CSF IgG and albumin and calculated conversions. cKFLC can overcome challenges associated with performance, interpretation, and cost of traditional OCBs, reducing costs and maintaining sensitivity and specificity supporting MS diagnosis.
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Bosello S, Basile U, De Lorenzis E, Gulli F, Canestrari G, Napodano C, Parisi F, Pocino K, Di Mario C, Tolusso B, Ferraccioli G, Gremese E. Free light chains of immunoglobulins in patients with systemic sclerosis: correlations with lung involvement and inflammatory milieu. J Clin Pathol 2018; 71:620-625. [PMID: 29447111 DOI: 10.1136/jclinpath-2017-204656] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2017] [Revised: 12/20/2017] [Accepted: 01/05/2018] [Indexed: 01/07/2023]
Abstract
AIM Humoral immunity and B cells are thought to play an important role in the pathophysiology of the systemic sclerosis (SSc). The production of free light chains (FLC) of immunoglobulins is abnormally high in several pathological autoimmune conditions and reflects B cell activation. Furthermore, FLCs demonstrated different biological activities including their capability to modulate the immune system, proteolytic activity and complement cascade activation. The aims of this study are to determine the FLC levels in patients with SSc compared with healthy controls (HC) and to study their possible association with organ involvement and disease characteristics. METHODS Sixty-five patients with SSc and 20 HC were studied. Clinical and immunological inflammatory characteristics were assessed for all the patients with SSc. κ-FLC and λ-FLC, interleukin 6 (IL-6) and B cell activating factor levels were measured. RESULTS The mean serum κ-FLC levels and FLC ratio were significantly higher in patients with SSc compared with HC, while the serum λ-FLC levels were comparable.The levels of FLC were comparable in patients with diffuse skin disease and limited skin involvement, while κ-FLC levels were increased in patients with restrictive lung (forced vital capacity (FVC) <80%) disease (26.4±7.4 mg/L) when compared with patients with FVC ≥80% (19.6±7.3 mg/L, P=0.009). In patients with SSc, the levels of serum κ-FLC level directly correlated with the IL-6 levels (R=0.3, P=0.001) and disease activity (R=0.4, P=0.003). CONCLUSIONS FLC levels are elevated in SSc and high levels are associated with lung involvement and with a higher degree of inflammation, supporting a possible role of B cell activation in the pathophysiology of the disease.
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Affiliation(s)
- Silvia Bosello
- Institute of Rheumatology and Affine Sciences, Department of Rheumatology, Fondazione Policlinico Universitario Agostino Gemelli, School of Medicine, Catholic University of the Sacred Heart, Rome, Italy
| | - Umberto Basile
- Department of Laboratory Medicine, Fondazione Policlinico Universitario Agostino Gemelli, Catholic University of the Sacred Heart, Rome, Italy
| | - Enrico De Lorenzis
- Institute of Rheumatology and Affine Sciences, Department of Rheumatology, Fondazione Policlinico Universitario Agostino Gemelli, School of Medicine, Catholic University of the Sacred Heart, Rome, Italy
| | - Francesca Gulli
- Department of Laboratory Medicine, Fondazione Policlinico Universitario Agostino Gemelli, Catholic University of the Sacred Heart, Rome, Italy
| | - Giovanni Canestrari
- Institute of Rheumatology and Affine Sciences, Department of Rheumatology, Fondazione Policlinico Universitario Agostino Gemelli, School of Medicine, Catholic University of the Sacred Heart, Rome, Italy
| | - Cecilia Napodano
- Department of Laboratory Medicine, Fondazione Policlinico Universitario Agostino Gemelli, Catholic University of the Sacred Heart, Rome, Italy
| | - Federico Parisi
- Institute of Rheumatology and Affine Sciences, Department of Rheumatology, Fondazione Policlinico Universitario Agostino Gemelli, School of Medicine, Catholic University of the Sacred Heart, Rome, Italy
| | - Krizia Pocino
- Department of Laboratory Medicine, Fondazione Policlinico Universitario Agostino Gemelli, Catholic University of the Sacred Heart, Rome, Italy
| | - Clara Di Mario
- Institute of Rheumatology and Affine Sciences, Department of Rheumatology, Fondazione Policlinico Universitario Agostino Gemelli, School of Medicine, Catholic University of the Sacred Heart, Rome, Italy
| | - Barbara Tolusso
- Institute of Rheumatology and Affine Sciences, Department of Rheumatology, Fondazione Policlinico Universitario Agostino Gemelli, School of Medicine, Catholic University of the Sacred Heart, Rome, Italy
| | - Gianfranco Ferraccioli
- Institute of Rheumatology and Affine Sciences, Department of Rheumatology, Fondazione Policlinico Universitario Agostino Gemelli, School of Medicine, Catholic University of the Sacred Heart, Rome, Italy
| | - Elisa Gremese
- Institute of Rheumatology and Affine Sciences, Department of Rheumatology, Fondazione Policlinico Universitario Agostino Gemelli, School of Medicine, Catholic University of the Sacred Heart, Rome, Italy
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Makshakov GS, Nazarov VD, Totolyan NA, Lapin SV, Mazing AV, Emanuel VL, Krasnov VS, Shumilina MV, Skoromets AA, Evdoshenko EP. [The association of intrathecal production of immunoglobulin free light chains and progression of multiple sclerosis]. Zh Nevrol Psikhiatr Im S S Korsakova 2018; 117:4-10. [PMID: 29359727 DOI: 10.17116/jnevro20171171024-10] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
AIM To assess an impact of immunoglobulin free light chains (FLC) on short-term and long-term prognosis of clinical and radiological activity and progression of disability in multiple sclerosis (MS). MATERIAL AND METHODS A sample of 381 patients with definite MS was divided into 2 groups. In group 1, lumbar puncture was performed at the time of clinically isolated syndrome, and patients were prospectively followed up to 2 years (short-term prognosis group, n=97). In group 2, MS was diagnosed immediately after lumbar puncture, and retrospective analysis of the disease course with the duration not less than 5 years was performed (long-term prognosis group, n=284). The Expanded Disability Status Scale (EDSS) and the Multiple Sclerosis Severity Score (MSSS) were used to assess patient's status. Concentrations of kappa and lambda FLC in the CSF (K-FLCCSF, L-FLCCSF) and serum (K-FLCSERUM, L-FLCSERUM) as well as quotients of concentrations (Q-K and Q-L) were determined. Patients were stratified into subgroups with high and low concentrations of K-FLC and L-FLC using cut-offs from our previous studies: K-FLCCSF=0.595 mcg/l and L-FLCCSF=0.127 mcg/l. RESULTS In group 1, significant correlations were found only between EDSS score and concentrations of K-FLCCSF (r=0.377, p=0.00019) and Q-K (r=0.366, p=0.0012). FLC concentrations did not correlate with the number of relapses and new T2 lesions. The age and EDSS score at the disease onset didn't differ between patients with high and low K-FLC and L-FLC (K-FLCCSF: р=0.2658; L-FLCCSF: р=0.5502). A significant decrease of EDSS score after the disease onset was observed in all groups except for patients with high concentrations of K-FLCCSF (p=0.1844), so the EDSS score after 2 years was significantly higher in this subgroup of patients (p=0.0006). In group 2, significant correlations of K-FLC with EDSS score (r=0.181, p=0.002) and MSSS score (r=0.121, р=0.044) for long-term prognosis (median (IQR) = 8 (6-13) years) were found. No correlations of FLC concentrations with the number of relapses during the first 5 years were found. Survival analysis showed that high concentrations of K-FLCCSF were associated with the high risk of progression to EDSS 6 (HR=2.055, p=0.026) but not with EDSS 4 (HR=2.388, p=0.08). CONCLUSION Concentrations of kappa FLC can help to define the prognosis of MS early at the disease course. Although low concentrations of FLC do not exclude a severe disease phenotype, patients with high K-FLCCSF concentrations are at greater risk for faster MS progression, probably, due to impaired reparation of neural tissue. Measurement of FLC concentrations can be used to determine a therapeutic tactics in patients with MS.
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Affiliation(s)
- G S Makshakov
- City Center of Multiple Sclerosis and Other Autoimmune Diseases, City Clinical Hospital #31, St. Petersburg, Russia; Pavlov First St. Petersburg State Medical University, St. Petersburg, Russia
| | - V D Nazarov
- Pavlov First St. Petersburg State Medical University, St. Petersburg, Russia
| | - N A Totolyan
- Pavlov First St. Petersburg State Medical University, St. Petersburg, Russia
| | - S V Lapin
- Pavlov First St. Petersburg State Medical University, St. Petersburg, Russia
| | - A V Mazing
- Pavlov First St. Petersburg State Medical University, St. Petersburg, Russia
| | - V L Emanuel
- Pavlov First St. Petersburg State Medical University, St. Petersburg, Russia
| | - V S Krasnov
- Pavlov First St. Petersburg State Medical University, St. Petersburg, Russia
| | - M V Shumilina
- City Center of Multiple Sclerosis and Other Autoimmune Diseases, City Clinical Hospital #31, St. Petersburg, Russia; Pavlov First St. Petersburg State Medical University, St. Petersburg, Russia
| | - A A Skoromets
- Pavlov First St. Petersburg State Medical University, St. Petersburg, Russia
| | - E P Evdoshenko
- City Center of Multiple Sclerosis and Other Autoimmune Diseases, City Clinical Hospital #31, St. Petersburg, Russia
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Høglund RA, Lossius A, Johansen JN, Homan J, Benth JŠ, Robins H, Bogen B, Bremel RD, Holmøy T. In Silico Prediction Analysis of Idiotope-Driven T-B Cell Collaboration in Multiple Sclerosis. Front Immunol 2017; 8:1255. [PMID: 29038659 PMCID: PMC5630699 DOI: 10.3389/fimmu.2017.01255] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2017] [Accepted: 09/20/2017] [Indexed: 12/02/2022] Open
Abstract
Memory B cells acting as antigen-presenting cells are believed to be important in multiple sclerosis (MS), but the antigen they present remains unknown. We hypothesized that B cells may activate CD4+ T cells in the central nervous system of MS patients by presenting idiotopes from their own immunoglobulin variable regions on human leukocyte antigen (HLA) class II molecules. Here, we use bioinformatics prediction analysis of B cell immunoglobulin variable regions from 11 MS patients and 6 controls with other inflammatory neurological disorders (OINDs), to assess whether the prerequisites for such idiotope-driven T–B cell collaboration are present. Our findings indicate that idiotopes from the complementarity determining region (CDR) 3 of MS patients on average have high predicted affinities for disease associated HLA-DRB1*15:01 molecules and are predicted to be endosomally processed by cathepsin S and L in positions that allows such HLA binding to occur. Additionally, complementarity determining region 3 sequences from cerebrospinal fluid (CSF) B cells from MS patients contain on average more rare T cell-exposed motifs that could potentially escape tolerance and stimulate CD4+ T cells than CSF B cells from OIND patients. Many of these features were associated with preferential use of the IGHV4 gene family by CSF B cells from MS patients. This is the first study to combine high-throughput sequencing of patient immune repertoires with large-scale prediction analysis and provides key indicators for future in vitro and in vivo analyses.
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Affiliation(s)
- Rune A Høglund
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Andreas Lossius
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway.,Faculty of Medicine, Department of Immunology and Transfusion Medicine, University of Oslo and Oslo University Hospital Rikshospitalet, Oslo, Norway
| | - Jorunn N Johansen
- Faculty of Medicine, Department of Immunology and Transfusion Medicine, University of Oslo and Oslo University Hospital Rikshospitalet, Oslo, Norway
| | - Jane Homan
- EigenBio LLC, Madison, WI, United States
| | - Jūratė Šaltytė Benth
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Health Services Research Unit, Akershus University Hospital, Lørenskog, Norway
| | - Harlan Robins
- Adaptive Biotechnologies, Seattle, WA, United States
| | - Bjarne Bogen
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Faculty of Medicine, Department of Immunology and Transfusion Medicine, University of Oslo and Oslo University Hospital Rikshospitalet, Oslo, Norway.,Centre for Immune Regulation, University of Oslo, Oslo, Norway
| | | | - Trygve Holmøy
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
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44
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Basile U, Gulli F, Gragnani L, Napodano C, Pocino K, Rapaccini GL, Mussap M, Zignego AL. Free light chains: Eclectic multipurpose biomarker. J Immunol Methods 2017; 451:11-19. [PMID: 28931470 DOI: 10.1016/j.jim.2017.09.005] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2017] [Revised: 07/21/2017] [Accepted: 09/15/2017] [Indexed: 12/14/2022]
Abstract
The production of antibodies is accompanied by a slight excess of synthesis of κ and λ immunoglobulin light chains; small amounts of them are released in the peripheral blood and can also be found in various body fluids, such as synovial fluid, cerebrospinal fluid, urine and saliva. They are rapidly filtered by the glomerulus and >99% are reabsorbed from the cells of the proximal convoluted tubule, making them present in the urine in only trace amounts. The production of an excess of protein without a reason or a specific function in a biological system is rare. Free light chains, considered for years a waste product of Ig synthesis, are currently known to be very active molecules, able to bind antigens as well as whole immunoglobulin and helping to develop specific antibody affinity. The ability of free light chains to activate mast cells and then become an active part of the pathogenic mechanisms of chronic inflammatory diseases has increased interest in their clinical use, both as an attractive therapeutic target or as a biochemical marker of disease evolution or remission. This is an overview of relevant scientific interest that immunoglobulin light chains κ and λ have attracted over the years, a report on the progress in knowledge about their structure and function, with a special focus on their biological meaning and potential clinical utility in different diseases.
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Affiliation(s)
- Umberto Basile
- Department of Laboratory Medicine of the Catholic University of Sacred Heart, Rome, Italy.
| | - Francesca Gulli
- Department of Laboratory Medicine of the Catholic University of Sacred Heart, Rome, Italy
| | - Laura Gragnani
- Center for Systemic Manifestations of Hepatitis Viruses (MaSVE), Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Cecilia Napodano
- Department of Laboratory Medicine of the Catholic University of Sacred Heart, Rome, Italy
| | - Krizia Pocino
- Department of Laboratory Medicine of the Catholic University of Sacred Heart, Rome, Italy
| | | | - Michele Mussap
- Department of Laboratory Medicine, IRCCS-AOU San Martino, Genoa, Italy
| | - Anna Linda Zignego
- Center for Systemic Manifestations of Hepatitis Viruses (MaSVE), Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
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Pieri M, Storto M, Pignalosa S, Zenobi R, Buttari F, Bernardini S, Centonze D, Dessi M. KFLC Index utility in multiple sclerosis diagnosis: Further confirmation. J Neuroimmunol 2017; 309:31-33. [DOI: 10.1016/j.jneuroim.2017.05.007] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2017] [Revised: 05/10/2017] [Accepted: 05/11/2017] [Indexed: 11/24/2022]
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46
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Free Light Chains and Intrathecal B Cells Activity in Multiple Sclerosis: A Prospective Study and Meta-Analysis. Mult Scler Int 2017; 2016:2303857. [PMID: 28116160 PMCID: PMC5225376 DOI: 10.1155/2016/2303857] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2016] [Revised: 11/17/2016] [Accepted: 11/30/2016] [Indexed: 11/20/2022] Open
Abstract
Background. The presence of CSF oligoclonal bands (OBs) is an independent prognostic factor for multiple sclerosis (MS), but the difficulties in the standardization of the test and the interlaboratory variation in reporting have contributed to its limited use in the diagnosis of the disease. Standard nephelometric assays to measure free light chains (FLC) levels have been recently developed and the test may improve the detection of intrathecal B cells activity. Methods. The presence of OBs, kappa and lambda FLC levels, and standard indices of intrathecal inflammation were assessed in 100 consecutive patients, including patients with MS, clinically isolated syndromes (CIS), other inflammatory diseases of the CNS, and other noninflammatory diseases. Results. Both KFLC and LFLC correlated strongly with the presence of OCBs and with all common tests for intrathecal inflammation (p < 0.001 for all comparisons). KFLC and LFLC were significantly different in patients with MS and CIS compared to the other groups (p < 0.001 and p < 0.001, resp.) and had a better diagnostic accuracy than all the other tests (area under the curve 82.3 % for KFLC index and 79.3 % for LFLC index). Conclusion. Nephelometric assays for KFLC in CSF reliably detect intrathecal immunoglobulin synthesis and discriminate MS patients.
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47
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Nazarov VD, Makshakov GS, Mazing AV, Surkova EA, Krasnov VS, Shumilina MV, Totolyan NA, Evdoshenko EP, Lapin SV, Emanuel VL, Skoromets AA. Diagnostic value of immunoglobulin free light chains at the debut of multiple sclerosis. Zh Nevrol Psikhiatr Im S S Korsakova 2017; 117:60-65. [DOI: 10.17116/jnevro20171172260-65] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
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48
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Gastaldi M, Zardini E, Franciotta D. An update on the use of cerebrospinal fluid analysis as a diagnostic tool in multiple sclerosis. Expert Rev Mol Diagn 2016; 17:31-46. [DOI: 10.1080/14737159.2017.1262260] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Affiliation(s)
- Matteo Gastaldi
- Laboratory of Neuroimmunology, and Dept. of General Neurology, C. Mondino National Neurological Institute, University of Pavia, Pavia, Italy
| | - Elisabetta Zardini
- Laboratory of Neuroimmunology, and Dept. of General Neurology, C. Mondino National Neurological Institute, University of Pavia, Pavia, Italy
| | - Diego Franciotta
- Laboratory of Neuroimmunology, and Dept. of General Neurology, C. Mondino National Neurological Institute, University of Pavia, Pavia, Italy
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49
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Voortman MM, Stojakovic T, Pirpamer L, Jehna M, Langkammer C, Scharnagl H, Reindl M, Ropele S, Seifert-Held T, Archelos JJ, Fuchs S, Enzinger C, Fazekas F, Khalil M. Prognostic value of free light chains lambda and kappa in early multiple sclerosis. Mult Scler 2016; 23:1496-1505. [DOI: 10.1177/1352458516681503] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background: Cerebrospinal fluid (CSF) immunoglobulin free light chains (FLC) have been suggested as quantitative alternative to oligoclonal bands (OCB) in the diagnosis of multiple sclerosis (MS). However, little is known on their role in predicting clinical and paraclinical disease progression, particularly in early stages. Objective: To assess the prognostic value of FLC in OCB-positive patients with clinically isolated syndrome (CIS) suggestive of MS and early MS. Methods: We determined FLC kappa (KFLC) and lambda (LFLC) in CSF and serum by nephelometry in 61 patients (CIS ( n = 48), relapsing-remitting multiple sclerosis ( n = 13)) and 60 non-inflammatory neurological controls. Median clinical follow-up time in CIS was 4.8 years (interquartile range (IQR), 1.5–6.5 years). Patients underwent 3T magnetic resonance imaging (MRI) at baseline and follow-up (median time interval, 2.2 years; IQR, 1.0–3.7 years) to determine T2 lesion load (T2LL) and percent brain volume change (PBVC). Results: CSF FLC were significantly increased in CIS/MS compared to controls (all p < 0.001). A lower KFLC/LFLC CSF ratio was associated with CIS-clinically definite multiple sclerosis (CDMS) conversion (hazard ratio (HR) = 2.89; 95% confidence interval (CI) = 1.17–7.14; p < 0.05). No correlations were found for FLC variables with T2LL or PBVC. Conclusion: Our study confirms increased intrathecal synthesis of FLC in CIS/MS which supports their diagnostic contribution. The KFLC/LFLC CSF ratio appears to have a prognostic value in CIS beyond OCB.
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Affiliation(s)
| | - Tatjana Stojakovic
- Clinical Institute of Medical and Chemical
Laboratory Diagnostics, Medical University of Graz, Graz, Austria
| | - Lukas Pirpamer
- Department of Neurology, Medical University of
Graz, Graz, Austria
| | - Margit Jehna
- Division of Neuroradiology, Vascular and
Interventional Radiology, Medical University of Graz, Graz, Austria
| | | | - Hubert Scharnagl
- Clinical Institute of Medical and Chemical
Laboratory Diagnostics, Medical University of Graz, Graz, Austria
| | - Markus Reindl
- Clinical Department of Neurology, Medical
University of Innsbruck, Innsbruck, Austria
| | - Stefan Ropele
- Department of Neurology, Medical University of
Graz, Graz, Austria
| | | | | | - Siegrid Fuchs
- Department of Neurology, Medical University of
Graz, Graz, Austria
| | - Christian Enzinger
- Department of Neurology, Medical University of
Graz, Graz, Austria/Division of Neuroradiology, Vascular and Interventional
Radiology, Medical University of Graz, Graz, Austria
| | - Franz Fazekas
- Department of Neurology, Medical University of
Graz, Graz, Austria
| | - Michael Khalil
- Department of Neurology, Medical University of
Graz, Graz, Austria
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50
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Assessment of Intrathecal Free Light Chain Synthesis: Comparison of Different Quantitative Methods with the Detection of Oligoclonal Free Light Chains by Isoelectric Focusing and Affinity-Mediated Immunoblotting. PLoS One 2016; 11:e0166556. [PMID: 27846293 PMCID: PMC5112955 DOI: 10.1371/journal.pone.0166556] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2016] [Accepted: 10/31/2016] [Indexed: 11/19/2022] Open
Abstract
Objectives We aimed to compare various methods for free light chain (fLC) quantitation in cerebrospinal fluid (CSF) and serum and to determine whether quantitative CSF measurements could reliably predict intrathecal fLC synthesis. In addition, we wished to determine the relationship between free kappa and free lambda light chain concentrations in CSF and serum in various disease groups. Methods We analysed 166 paired CSF and serum samples by at least one of the following methods: turbidimetry (Freelite™, SPAPLUS), nephelometry (N Latex FLC™, BN ProSpec), and two different (commercially available and in-house developed) sandwich ELISAs. The results were compared with oligoclonal fLC detected by affinity-mediated immunoblotting after isoelectric focusing. Results Although the correlations between quantitative methods were good, both proportional and systematic differences were discerned. However, no major differences were observed in the prediction of positive oligoclonal fLC test. Surprisingly, CSF free kappa/free lambda light chain ratios were lower than those in serum in about 75% of samples with negative oligoclonal fLC test. In about a half of patients with multiple sclerosis and clinically isolated syndrome, profoundly increased free kappa/free lambda light chain ratios were found in the CSF. Conclusions Our results show that using appropriate method-specific cut-offs, different methods of CSF fLC quantitation can be used for the prediction of intrathecal fLC synthesis. The reason for unexpectedly low free kappa/free lambda light chain ratios in normal CSFs remains to be elucidated. Whereas CSF free kappa light chain concentration is increased in most patients with multiple sclerosis and clinically isolated syndrome, CSF free lambda light chain values show large interindividual variability in these patients and should be investigated further for possible immunopathological and prognostic significance.
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