Evidence map›Paper›PMID 40417848›Full record

ArticleBrain : a journal of neurology2025

Mapping the peripheral immune landscape of Parkinson's disease patients with single-cell sequencing.

Gael Moquin-Beaudry, Lovatiana Andriamboavonjy, Sebastien Audet, Laura K Hamilton, Antoine Duquette, Sylvain Chouinard, Michel Panisset, Martine Tetreault

Abstract read
In one paragraph

Article in Brain : a journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Review
  2. Roles of mitophagy and immune infiltration in Parkinson's disease: new perspectives from bioinformatics analysis and A53T transgenic mice.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026
    Article
  3. Peripheral inflammation predicts motor, cognitive, and disease progression in Parkinson's disease: A 4-year longitudinal study from the PPMI cohorts.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Gael Moquin-BeaudryDepartment of Neuroscience, University of Montreal Hospital Research Center (CRCHUM), Montreal, Canada H2X 0A9.ORCID 0000-0003-3286-3188
Lovatiana AndriamboavonjyDepartment of Neuroscience, University of Montreal Hospital Research Center (CRCHUM), Montreal, Canada H2X 0A9.ORCID 0009-0006-3527-9066
Sebastien AudetDepartment of Neuroscience, University of Montreal Hospital Research Center (CRCHUM), Montreal, Canada H2X 0A9.ORCID 0000-0002-4870-0781
Laura K HamiltonDepartment of Neuroscience, University of Montreal Hospital Research Center (CRCHUM), Montreal, Canada H2X 0A9.ORCID 0000-0001-7520-8306
Antoine DuquetteDepartment of Neuroscience, University of Montreal, Montreal, Canada H3T 1J4.ORCID 0000-0002-8313-4068
Sylvain ChouinardDepartment of Neuroscience, University of Montreal, Montreal, Canada H3T 1J4.
Michel PanissetDepartment of Neuroscience, University of Montreal, Montreal, Canada H3T 1J4.ORCID 0000-0002-6191-5955
Martine TetreaultDepartment of Neuroscience, University of Montreal Hospital Research Center (CRCHUM), Montreal, Canada H2X 0A9.ORCID 0000-0001-7124-5919

Funding

CIHRCourtois FoundationFonds de recherche du Québec - SantéSchlumberger FoundationWeston Family Foundation #211112
6 · The paper itself

Abstract

Parkinson's disease is most recognized for its impact on the CNS. However, recent breakthroughs underscore the crucial role of interactions between central and peripheral systems in Parkinson's disease pathogenesis. The spotlight is now shifting as we explore beyond the CNS, discovering that peripheral changes such as inflammatory dysfunctions may predict the rate of disease progression and severity. Despite more than 200 years of research on Parkinson's disease, reliable diagnostic or progression biomarkers and effective disease-modifying treatments are still lacking. Additionally, the cellular mechanisms that drive changes in immunity are largely unknown. Thus, understanding peripheral immune signatures could lead to earlier diagnosis and more effective treatments for Parkinson's disease. Here, we sought to define the transcriptomic alterations of the complete peripheral immune cell compartment by single-cell RNA and T-cell-receptor sequencing with hopes of uncovering Parkinson's disease signatures and potential peripheral blood biomarkers. Following transcriptional profiling of 78 876 cells from 10 healthy controls and 14 Parkinson's disease donors, we observed all expected major classes of immune cells; the myeloid (monocytes, dendritic cells) and lymphoid (T lymphocytes, B lymphocytes, natural killer) compartments were further analysed through bioinformatics re-clustering to obtain the final 38 cellular subtypes. Comparing immune cell subtypes and phenotypes between patients with Parkinson's disease and healthy control subjects revealed notable features of Parkinson's disease: (i) a significant shift of classical CD14+ monocytes towards an activated CD14+/CD83+ state; (ii) changes in lymphocyte subtype abundance, including a significant decrease in CD4+ naive and mucosal-associated invariant T-cell subtypes, along with an increase in CD56+ natural killer cells; (iii) the identification of several specific T-cell clones shared between multiple patients, suggesting the implication of common epitopes in Parkinson's disease pathogenesis; and (iv) a notable increase in the expression of activation signature genes, including the AP-1 stress-response transcription factor complex, across all Parkinson's disease cell types. This signal was not present in atypical parkinsonism patients with multiple system atrophy or progressive supranuclear palsy. Overall, we present a comprehensive atlas of peripheral blood mononuclear cells from healthy and Parkinson's disease donors which should serve as a tool to improve our understanding of the role the immune cell landscape plays in Parkinson's disease pathogenesis.

Indexed as

Parkinson DiseaseAgedBiomarkersDendritic CellsFemaleHumansMaleMiddle AgedSingle-Cell AnalysisTranscriptomeBiomarkersinflammationmonocyte activationParkinson's diseasesingle-cell sequencingstress responseTCR sequencing

Identifiers

PMID40417848
PMCPMC12316021

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.