Literature DB >> 31394405

The predictive value of CSF multiple assay in multiple sclerosis: A single center experience.

C De Fino1, M Lucchini1, D Lucchetti2, V Nociti1, F A Losavio1, A Bianco1, F Colella2, C Ricciardi-Tenore2, A Sgambato2, M Mirabella3.   

Abstract

BACKGROUND: Multiple sclerosis (MS) is a chronic, immune-mediated, inflammatory, neurodegenerative disorder. Many studies are investigating the potential role of body fluid biomarkers as prognostic factors for early identification of patients presenting with clinical isolated syndrome (CIS) at high risk for conversion to MS or to recognize RRMS patients at high risk for progression.
OBJECTIVES: To evaluate the correlation between levels of BAFF, chitinase 3-like 1 (CHI3L1), sCD163, Osteopontin (OPN), both on serum and cerebral spinal fluid (CSF), and the disease activity and progression. We also want to explore a possible relationship between serological and CSF biomarker's levels. PATIENTS AND METHODS: We enrolled 82 patients between June 2014 and June 2016. Seventy-one received a diagnosis of demyelinating disease of CNS (46 RRMS and 25 CIS), while 11 were affected by other neurological diseases. All patients underwent a neural axis MRI, lumbar puncture and blood samples. Levels of BAFF, CHI3L1, sCD163, OPN on serum and CSF were analyzed by Luminex xMAP system, with a kit 11-plex ad hoc.
RESULTS: The CSF CHI3L1, sCD163 and OPN levels were significantly higher in MS patients than in controls. We did not find significant differences in serum CHI3L1, sCD163 and OPN levels, nor CSF or serum BAFF levels between patient and control groups. We found significantly higher CSF level of sCD163 and CHI3L1 in all patients' subgroups compared with controls, while OPN was higher in CIS and RR subgroups. We did not find significant differences for serum and CSF levels of all the markers between patients with or without clinical or radiological disease activity. CSF sCD163 and CHI3L1 levels was significant higher in CIS patients who converted to MS (p < 0.05). Using ROC curve analysis, CSF sCD163 resulted the best predictive factor. CSF CHI3L1 and OPN levels resulted useful independent predictors too. Combined ROCs of those three analytes demonstrated a better predictive value, with sCD163 and CHI3L1 resulting as the best combination.
CONCLUSIONS: CSF sCD163 CHI3L1 and OPN levels were higher in MS patients whereas serum CHI3L1, sCD163 and OPN levels did not show differences compared with controls. This finding confirms the high CSF specificity with regards to the analysis of processes, inflammatory and non-inflammatory, that occur within the CNS.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  BAFF; CHI3L1; Multiple Sclerosis; Osteopontin; sCD163

Mesh:

Substances:

Year:  2019        PMID: 31394405     DOI: 10.1016/j.msard.2019.07.030

Source DB:  PubMed          Journal:  Mult Scler Relat Disord        ISSN: 2211-0348            Impact factor:   4.339


  6 in total

1.  CSF CXCL13 and Chitinase 3-like-1 Levels Predict Disease Course in Relapsing Multiple Sclerosis.

Authors:  Matteo Lucchini; Valeria De Arcangelis; Geny Piro; Viviana Nociti; Assunta Bianco; Chiara De Fino; Gabriele Di Sante; Francesco Ria; Paolo Calabresi; Massimiliano Mirabella
Journal:  Mol Neurobiol       Date:  2022-10-10       Impact factor: 5.682

Review 2.  An Update on Diagnostic Laboratory Biomarkers for Multiple Sclerosis.

Authors:  Marwa Kaisey; Ghazal Lashgari; Justyna Fert-Bober; Daniel Ontaneda; Andrew J Solomon; Nancy L Sicotte
Journal:  Curr Neurol Neurosci Rep       Date:  2022-10-21       Impact factor: 6.030

3.  Psoriatic arthritis and depressive symptoms: does systemic inflammation play a role?

Authors:  Enrico De Lorenzis; Gerlando Natalello; Dario Bruno; Giacomo Tanti; Maria Rosaria Magurano; Donatella Lucchetti; Clara Di Mario; Barbara Tolusso; Giusy Peluso; Elisa Gremese
Journal:  Clin Rheumatol       Date:  2020-10-03       Impact factor: 2.980

4.  Circulating Soluble CD163: A Potential Predictor for the Functional Outcome of Acute Ischemic Stroke.

Authors:  Houchao Sun; Xiaogang Zhang; Jingxi Ma; Zhao Liu; Yunwen Qi; Li Fang; Yongling Zheng; Zhiyou Cai
Journal:  Front Neurol       Date:  2021-12-14       Impact factor: 4.003

5.  Role of Chitinase 3-like 1 as a Biomarker in Multiple Sclerosis: A Systematic Review and Meta-analysis.

Authors:  Stefano Floro; Tiziana Carandini; Anna Margherita Pietroboni; Milena Alessandra De Riz; Elio Scarpini; Daniela Galimberti
Journal:  Neurol Neuroimmunol Neuroinflamm       Date:  2022-05-09

Review 6.  Emerging Biomarkers of Multiple Sclerosis in the Blood and the CSF: A Focus on Neurofilaments and Therapeutic Considerations.

Authors:  Tamás Biernacki; Zsófia Kokas; Dániel Sandi; Judit Füvesi; Zsanett Fricska-Nagy; Péter Faragó; Tamás Zsigmond Kincses; Péter Klivényi; Krisztina Bencsik; László Vécsei
Journal:  Int J Mol Sci       Date:  2022-03-21       Impact factor: 5.923

  6 in total

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