Leukocyte profiles in blood and CSF distinguish neurosarcoidosis from multiple sclerosis

Heming M, Lohmann L, Schulte-Mecklenbeck A, Brix T, Gross CC, Wiendl H, Klotz L, Hörste G

Research article (journal) | Peer reviewed

Abstract

Distinguishing neurosarcoidosis (NS) from multiple sclerosis (MS) remains challenging and available parameters lack discriminatory power. Comprehensive flow cytometry data of blood and CSF leukocytes of patients with NS (n = 24), MS (n = 49) and idiopathic intracranial hypertension (IIH, n = 52) were analyzed by machine learning algorithms. NS featured a specific immune cell pattern with increased activated CD4+ T cells in CSF and increased plasma cells in blood. Combining blood and CSF parameters improved the differentiation. We thereby identify and independently validate a multi-dimensional model of blood and CSF supporting the difficult differential diagnosis between NS and MS.

Details about the publication

JournalJournal of Neuroimmunology (J Neuroimmunol)
Volume341
StatusPublished
Release year2020
Language in which the publication is writtenEnglish
DOI10.1016/j.jneuroim.2020.577171
KeywordsNeurosarcoidosis; Multiple sclerosis; Neuroinflammation; Immune cell profile; Flow cytometry

Authors from the University of Münster

Groß, Catharina
Department for Neurology
Heming, Michael Oleg
Department for Neurology
Klotz, Luisa Hildegard
Department for Neurology
Meyer zu Hörste, Gerd Heinrich Rudolf
Department for Neurology
Revie, Lisa Maria
Department for Neurology
Schulte-Mecklenbeck, Andreas
Department for Neurology
Wiendl, Heinz Siegfried
Department for Neurology