Immunologic Profiling of CSF in Subarachnoid Neurocysticercosis Reveals Specific Interleukin-10-Producing Cell Populations During Treatment.


Journal

Neurology(R) neuroimmunology & neuroinflammation
ISSN: 2332-7812
Titre abrégé: Neurol Neuroimmunol Neuroinflamm
Pays: United States
ID NLM: 101636388

Informations de publication

Date de publication:
Nov 2024
Historique:
medline: 31 10 2024
pubmed: 30 10 2024
entrez: 30 10 2024
Statut: ppublish

Résumé

Subarachnoid neurocysticercosis (SANCC) is the most severe form of Eight samples of CSF cells collected from 5 patients with SANCC during treatment were evaluated using single-cell RNA sequencing. Matched CSF and peripheral blood mononuclear cells from 4 patients were assessed using flow cytometry. Staining for extracellular and intracellular markers allowed for the characterization of IL-10-producing T cells. The CSF during SANCC contains a diversity of immune cell populations including multiple myeloid and lymphoid populations. Although there were changes in the composition of CSF cells during treatment, the largest population at both early and late time points was CD4 This profile of immune cell populations in the CSF provides a comprehensive blueprint of the local and systemic immunology associated with SANCC. The identification of IL-10-producing cells in the CSF and peripheral blood deepens our understanding of the immunosuppressive phenotype that deters SANCC treatment success. Finally, the discovery that these IL-10 producers persist throughout treatment highlights the endurance of these populations in the CNS.

Sections du résumé

BACKGROUND AND OBJECTIVES OBJECTIVE
Subarachnoid neurocysticercosis (SANCC) is the most severe form of
METHODS METHODS
Eight samples of CSF cells collected from 5 patients with SANCC during treatment were evaluated using single-cell RNA sequencing. Matched CSF and peripheral blood mononuclear cells from 4 patients were assessed using flow cytometry. Staining for extracellular and intracellular markers allowed for the characterization of IL-10-producing T cells.
RESULTS RESULTS
The CSF during SANCC contains a diversity of immune cell populations including multiple myeloid and lymphoid populations. Although there were changes in the composition of CSF cells during treatment, the largest population at both early and late time points was CD4
DISCUSSION CONCLUSIONS
This profile of immune cell populations in the CSF provides a comprehensive blueprint of the local and systemic immunology associated with SANCC. The identification of IL-10-producing cells in the CSF and peripheral blood deepens our understanding of the immunosuppressive phenotype that deters SANCC treatment success. Finally, the discovery that these IL-10 producers persist throughout treatment highlights the endurance of these populations in the CNS.

Identifiants

pubmed: 39475624
doi: 10.1212/NXI.0000000000200320
doi:

Substances chimiques

Interleukin-10 130068-27-8
IL10 protein, human 0
Anthelmintics 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e200320

Auteurs

Nina L Tang (NL)

From the Laboratory of Parasitic Diseases (N.L.T., P.G.-G., L.T., E.M., T.E.N., T.B.N., E.M.O.C.), Integrated Data Sciences Section (P.S., J.L.), National Institute of Allergy and Infectious Diseases; and Clinical Monitoring Research Program Directorate (L.T.), Frederick National Laboratory for Cancer Research.

Paul Schaughency (P)

From the Laboratory of Parasitic Diseases (N.L.T., P.G.-G., L.T., E.M., T.E.N., T.B.N., E.M.O.C.), Integrated Data Sciences Section (P.S., J.L.), National Institute of Allergy and Infectious Diseases; and Clinical Monitoring Research Program Directorate (L.T.), Frederick National Laboratory for Cancer Research.

Pedro Gazzinelli-Guimaraes (P)

From the Laboratory of Parasitic Diseases (N.L.T., P.G.-G., L.T., E.M., T.E.N., T.B.N., E.M.O.C.), Integrated Data Sciences Section (P.S., J.L.), National Institute of Allergy and Infectious Diseases; and Clinical Monitoring Research Program Directorate (L.T.), Frederick National Laboratory for Cancer Research.

Justin Lack (J)

From the Laboratory of Parasitic Diseases (N.L.T., P.G.-G., L.T., E.M., T.E.N., T.B.N., E.M.O.C.), Integrated Data Sciences Section (P.S., J.L.), National Institute of Allergy and Infectious Diseases; and Clinical Monitoring Research Program Directorate (L.T.), Frederick National Laboratory for Cancer Research.

Lauren Thumm (L)

From the Laboratory of Parasitic Diseases (N.L.T., P.G.-G., L.T., E.M., T.E.N., T.B.N., E.M.O.C.), Integrated Data Sciences Section (P.S., J.L.), National Institute of Allergy and Infectious Diseases; and Clinical Monitoring Research Program Directorate (L.T.), Frederick National Laboratory for Cancer Research.

Emily Miltenberger (E)

From the Laboratory of Parasitic Diseases (N.L.T., P.G.-G., L.T., E.M., T.E.N., T.B.N., E.M.O.C.), Integrated Data Sciences Section (P.S., J.L.), National Institute of Allergy and Infectious Diseases; and Clinical Monitoring Research Program Directorate (L.T.), Frederick National Laboratory for Cancer Research.

Theodore E Nash (TE)

From the Laboratory of Parasitic Diseases (N.L.T., P.G.-G., L.T., E.M., T.E.N., T.B.N., E.M.O.C.), Integrated Data Sciences Section (P.S., J.L.), National Institute of Allergy and Infectious Diseases; and Clinical Monitoring Research Program Directorate (L.T.), Frederick National Laboratory for Cancer Research.

Thomas B Nutman (TB)

From the Laboratory of Parasitic Diseases (N.L.T., P.G.-G., L.T., E.M., T.E.N., T.B.N., E.M.O.C.), Integrated Data Sciences Section (P.S., J.L.), National Institute of Allergy and Infectious Diseases; and Clinical Monitoring Research Program Directorate (L.T.), Frederick National Laboratory for Cancer Research.

Elise M O'Connell (EM)

From the Laboratory of Parasitic Diseases (N.L.T., P.G.-G., L.T., E.M., T.E.N., T.B.N., E.M.O.C.), Integrated Data Sciences Section (P.S., J.L.), National Institute of Allergy and Infectious Diseases; and Clinical Monitoring Research Program Directorate (L.T.), Frederick National Laboratory for Cancer Research.

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