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

Forschungsartikel (Zeitschrift) | Peer reviewed

Zusammenfassung

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 zur Publikation

FachzeitschriftJournal of Neuroimmunology (J Neuroimmunol)
Jahrgang / Bandnr. / Volume341
StatusVeröffentlicht
Veröffentlichungsjahr2020
Sprache, in der die Publikation verfasst istEnglisch
StichwörterNeurosarcoidosis; Multiple sclerosis; Neuroinflammation; Immune cell profile; Flow cytometry

Autor*innen der Universität Münster

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