Kappa Free Light Chain Biomarkers Are Efficient for the Diagnosis of Multiple Sclerosis: A Large Multicenter Cohort Study.
Fiche publication
Date publication
janvier 2023
Journal
Neurology(R) neuroimmunology & neuroinflammation
Auteurs
Membres identifiés du Cancéropôle Est :
Pr DE SEZE Jérôme
Tous les auteurs :
Levraut M, Laurent-Chabalier S, Ayrignac X, Bigaut K, Rival M, Squalli S, Zéphir H, Alberto T, Pekar JD, Ciron J, Biotti D, Puissant-Lubrano B, Camdessanché JP, Tholance Y, Casez O, Toussaint B, Marion J, Moreau T, Lakomy D, Thomasset A, Maillart E, Sterlin D, Maurousset A, Rocher A, Laplaud DA, Bigot-Corbel E, Bertho PO, Pelletier J, Boucraut J, Labauge P, Vincent T, De Sèze J, Jahn I, Seitz-Polski B, Thouvenot E, Lebrun-Frenay C,
Lien Pubmed
Résumé
Kappa free light chains (KFLC) seem to efficiently diagnose MS. However, extensive cohort studies are lacking to establish consensus cut-offs, notably to rule out non-MS autoimmune CNS disorders. Our objectives were to (1) determine diagnostic performances of CSF KFLC, KFLC index, and KFLC intrathecal fraction (IF) threshold values that allow us to separate MS from different CNS disorder control populations and compare them with oligoclonal bands' (OCB) performances and (2) to identify independent factors associated with KFLC quantification in MS.
Mots clés
Female, Humans, Multiple Sclerosis, Immunoglobulin kappa-Chains, Oligoclonal Bands, Demyelinating Diseases, diagnosis, Biomarkers, Cohort Studies, Central Nervous System Diseases
Référence
Neurol Neuroimmunol Neuroinflamm. 2023 01;10(1):