Go to JCI Insight
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Advertising
  • Job board
  • Contact
  • Clinical Research and Public Health
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Gastroenterology
    • Immunology
    • Metabolism
    • Nephrology
    • Neuroscience
    • Oncology
    • Pulmonology
    • Vascular biology
    • All ...
  • Videos
    • ASCI Milestone Awards
    • Video Abstracts
    • Conversations with Giants in Medicine
  • Reviews
    • View all reviews ...
    • The cGAS-STING pathway: DNA sensing in health and disease (Jun 2026)
    • Neurodegeneration (Mar 2026)
    • Clinical innovation and scientific progress in GLP-1 medicine (Nov 2025)
    • Pancreatic Cancer (Jul 2025)
    • Complement Biology and Therapeutics (May 2025)
    • Evolving insights into MASLD and MASH pathogenesis and treatment (Apr 2025)
    • Microbiome in Health and Disease (Feb 2025)
    • View all review series ...
  • Viewpoint
  • Collections
    • In-Press Preview
    • Clinical Research and Public Health
    • Research Letters
    • Letters to the Editor
    • Editorials
    • Commentaries
    • Editor's notes
    • Reviews
    • Viewpoints
    • 100th anniversary
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • Reviews
  • Review series
  • ASCI Milestone Awards
  • Video Abstracts
  • Conversations with Giants in Medicine
  • In-Press Preview
  • Clinical Research and Public Health
  • Research Letters
  • Letters to the Editor
  • Editorials
  • Commentaries
  • Editor's notes
  • Reviews
  • Viewpoints
  • 100th anniversary
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Advertising
  • Job board
  • Contact
A single-cell compendium of human cerebrospinal fluid identifies disease-associated immune cell populations
Claudia Cantoni, Roman A. Smirnov, Maria Firulyova, Prabhakar S. Andhey, Tara R. Bradstreet, Ekaterina Esaulova, Marina Terekhova, Elizabeth A. Schwarzkopf, Nada M. Abdalla, Maksim Kleverov, Joseph J. Sabatino Jr., Kang Liu, Nicholas Schwab, Gerd Meyer zu Hörste, Anne H. Cross, Maxim N. Artyomov, Brian T. Edelson, Gregory F. Wu
Claudia Cantoni, Roman A. Smirnov, Maria Firulyova, Prabhakar S. Andhey, Tara R. Bradstreet, Ekaterina Esaulova, Marina Terekhova, Elizabeth A. Schwarzkopf, Nada M. Abdalla, Maksim Kleverov, Joseph J. Sabatino Jr., Kang Liu, Nicholas Schwab, Gerd Meyer zu Hörste, Anne H. Cross, Maxim N. Artyomov, Brian T. Edelson, Gregory F. Wu
View: Text | PDF
Research Article Immunology Neuroscience

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

  • Text
  • PDF
Abstract

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.

Authors

Claudia Cantoni, Roman A. Smirnov, Maria Firulyova, Prabhakar S. Andhey, Tara R. Bradstreet, Ekaterina Esaulova, Marina Terekhova, Elizabeth A. Schwarzkopf, Nada M. Abdalla, Maksim Kleverov, Joseph J. Sabatino Jr., Kang Liu, Nicholas Schwab, Gerd Meyer zu Hörste, Anne H. Cross, Maxim N. Artyomov, Brian T. Edelson, Gregory F. Wu

×

Figure 4

Cell population diversity and trajectory analysis of CSF microglia-like cells.

Options: View larger image (or click on image) Download as PowerPoint
Cell population diversity and trajectory analysis of CSF microglia-like ...
(A) UMAP of the myeloid object is shown colored based on the enrichment score of the transcriptional signature obtained from murine microglia (31). (B) UMAP of CSF microglia-like cell subsets. Each subset is designated MG for microglia-like cells. (C) Dot plot of select marker genes for the microglia-like cell subclusters. (D) Heatmap of aggregated and log-normalized gene expression in each microglia-like cell subcluster. Top 10 genes for each subcluster are shown. (E) Proportions of CSF microglia-like cell subclusters across disease groups. (F) UMAP plot representing select CSF myeloid populations inclusive of CD14+ monocytes, BAMs, and microglia-like cells color-coded by subclusters. (G) UMAP plot of the pseudotime trajectory of the object shown in F. In E, significance for pairwise comparisons between HC and all other disease groups was determined by post hoc Dunn’s test with Benjamini-Hochberg adjustment. *Padj < 0.05.

Copyright © 2026 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

Sign up for email alerts