A single-cell compendium of human cerebrospinal fluid identifies disease-associated immune cell populations.

Cantoni C; Smirnov RA; Firulyova M; Andhey PS; Bradstreet TR; Esaulova E; Terekhova M; Schwarzkopf EA; Abdalla NM; Kleverov M; Sabatino JJ; Liu K; Schwab N; Meyer Zu Hörste G; Cross AH; Artyomov MN; Edelson BT; Wu GF

Forschungsartikel (Zeitschrift) | Peer reviewed

Zusammenfassung

Single-cell transcriptomics applied to cerebrospinal fluid (CSF) for elucidating the pathophysiology of neurologic diseases has produced only a preliminary characterization of CSF immune cells. CSF derives from and borders central nervous system (CNS) tissue, allowing for comprehensive accounting of cell types along with their relative abundance and immunologic profiles relevant to CNS diseases. Using integration techniques applied to publicly available datasets in combination with our own studies, we generated a compendium with 139 subjects encompassing 135 CSF and 58 blood samples. Healthy subjects and individuals across a wide range of diseases, such as multiple sclerosis (MS), Alzheimer's disease, Parkinson's disease, COVID-19, and autoimmune encephalitis, were included. We found differences in lymphocyte and myeloid subset frequencies across different diseases as well as in their distribution between blood and CSF. We identified what we believe to be a new subset of AREG+ dendritic cells exclusive to the CSF that was more abundant in subjects with MS compared with healthy controls. Finally, transcriptional cell states in CSF microglia-like cells and lymphoid subsets were elucidated. Altogether, we have created a reference compendium for single-cell transcriptional profiling encompassing CSF immune cells useful to the scientific community for future studies on neurologic diseases.

Details zur Publikation

FachzeitschriftJournal of Clinical Investigation (J Clin Invest)
Jahrgang / Bandnr. / Volume135
Ausgabe / Heftnr. / Issue1
StatusVeröffentlicht
Veröffentlichungsjahr2025 (02.01.2025)
Sprache, in der die Publikation verfasst istEnglisch
DOI10.1172/JCI177793
StichwörterHumans; Single-Cell Analysis; Male; Female; COVID-19; Multiple Sclerosis; Middle Aged; Alzheimer Disease; Adult; Dendritic Cells; Parkinson Disease; SARS-CoV-2; Transcriptome; Aged; Microglia

Autor*innen der Universität Münster

Meyer zu Hörste, Gerd Heinrich Rudolf
Klinik für Neurologie mit Institut für Translationale Neurologie