Enedina Maria Lobato de Oliveira1, Daniela Antunes Montani2, Diogo Oliveira-Silva3, André Filipe Rodrigues-Oliveira3, Sandro Luiz de Andrade Matas1, Gustavo Bruniera Peres Fernandes4, Ismael Dale Cotrim Guerreiro da Silva5, Edson Guimarães Lo Turco2. 1. Universidade Federal de São Paulo, Departamento de Neurologia e Neurocirurgia Disciplina de Neurologia, São Paulo SP, Brasil. 2. Universidade Federal de São Paulo, Centro de Pesquisa em Urologia, Departamento de Cirurgia. Disciplina de Urologia, São Paulo SP, Brasil. 3. Universidade Federal de São Paulo, Instituto de Ciências Ambientais, Químicas e Farmacêuticas, Departamento de Química, São Paulo SP, Brasil. 4. Universidade Federal de São Paulo, Departamento de Psicobiologia, Disciplina de Psicobiologia, São Paulo SP, Brasil. 5. Universidade Federal de São Paulo, Laboratório de Ginecologia Molecular, Departamento de Ginecologia e Obstetrícia, São Paulo SP, Brasil.
Abstract
OBJECTIVE: The diagnosis of multiple sclerosis (MS) has changed over the last decade, but remains a composite of clinical assessment and magnetic resonance imaging to prove dissemination of lesions in time and space. The intrathecal synthesis of immunoglobulin may be a nonspecific marker and there are no plasma biomarkers that are useful in the diagnosis of MS, presenting additional challenges to their early detection. METHODS: We performed a preliminary untargeted qualitative lipidomics mass spectrometry analysis, comparing cerebrospinal fluid (CSF) and plasma samples from patients with MS, other inflammatory neurological diseases and idiopathic intracranial hypertension. RESULTS: Lipid identification revealed that fatty acids and sphingolipids were the most abundant classes of lipids in the CSF and that glycerolipids and fatty acids were the main class of lipids in the plasma of patients with MS. The area under the curve was 0.995 (0.912-1) and 0.78 (0.583-0.917), respectively. The permutation test indicated that this ion combination was useful for distinguishing MS from other inflammatory diseases (p < 0.001 and 0.055, respectively). CONCLUSION: This study concluded that the CSF and plasma from patients with MS bear a unique lipid signature that can be useful as a diagnostic biomarker.
OBJECTIVE: The diagnosis of multiple sclerosis (MS) has changed over the last decade, but remains a composite of clinical assessment and magnetic resonance imaging to prove dissemination of lesions in time and space. The intrathecal synthesis of immunoglobulin may be a nonspecific marker and there are no plasma biomarkers that are useful in the diagnosis of MS, presenting additional challenges to their early detection. METHODS: We performed a preliminary untargeted qualitative lipidomics mass spectrometry analysis, comparing cerebrospinal fluid (CSF) and plasma samples from patients with MS, other inflammatory neurological diseases and idiopathic intracranial hypertension. RESULTS: Lipid identification revealed that fatty acids and sphingolipids were the most abundant classes of lipids in the CSF and that glycerolipids and fatty acids were the main class of lipids in the plasma of patients with MS. The area under the curve was 0.995 (0.912-1) and 0.78 (0.583-0.917), respectively. The permutation test indicated that this ion combination was useful for distinguishing MS from other inflammatory diseases (p < 0.001 and 0.055, respectively). CONCLUSION: This study concluded that the CSF and plasma from patients with MS bear a unique lipid signature that can be useful as a diagnostic biomarker.
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Authors: Maria Podbielska; Zdzislaw M Szulc; Toshio Ariga; Anna Pokryszko-Dragan; Wojciech Fortuna; Małgorzata Bilinska; Ryszard Podemski; Ewa Jaskiewicz; Ewa Kurowska; Robert K Yu; Edward L Hogan Journal: J Lipid Res Date: 2020-08-07 Impact factor: 5.922
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