Evidence map›Paper›PMID 39509331›Full record

ArticleBrain : a journal of neurology2025

Perivascular space dysfunction in cerebral small vessel disease is related to neuroinflammation.

Hui Hong, Daniel J Tozer, Yutong Chen, Robin B Brown, Audrey Low, Hugh S Markus

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 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Roles of Microglia in Cerebral Small Vessel Disease.CNS neuroscience & therapeutics · 2026
    Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

6 authors.

Hui HongDepartment of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0QQ, UK.
Daniel J TozerDepartment of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0QQ, UK.
Yutong ChenDepartment of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0QQ, UK.ORCID 0000-0001-8024-8775
Robin B BrownDepartment of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0QQ, UK.
Audrey LowDepartment of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0QQ, UK.ORCID 0000-0002-2520-454X
Hugh S MarkusDepartment of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0QQ, UK.

Funding

Cambridge British Heart Foundation Centre of Research Excellence RE/18/1/34212Cambridge University Hospitals NIHR Biomedical Research Centre BRC-1215-20014Medical Research Council experimental medicine MR/N026896/1
6 · The paper itself

Abstract

Enlarged perivascular spaces are a feature of cerebral small vessel disease, and it has been hypothesized that they might reflect impaired glymphatic drainage. The mechanisms underlying enlargement of perivascular spaces are not fully understood, but both increased inflammation and blood-brain barrier (BBB) permeability have been hypothesized to play a role. We investigated the relationship between perivascular spaces and both CNS and peripheral inflammation, in addition to BBB permeability, in cerebral small vessel disease. Fifty-four symptomatic sporadic cerebral small vessel disease patients were studied. Perivascular spaces were quantified both using a visual rating scale and by measurement of the volume of perivascular spaces in the white matter and the basal ganglia. PET-MRI was used to measure microglial activation using the radioligand 11C-PK11195, and simultaneously, BBB permeability was acquired using dynamic contrast-enhanced MRI. We determined 11C-PK11195 binding and BBB permeability in the local vicinity of individual perivascular spaces in concentric shells surrounding the perivascular spaces. In addition, both mean 11C-PK11195 binding and BBB permeability in both the white matter and the basal ganglia were determined. To assess systemic inflammation, a panel of 93 blood biomarkers relating to cardiovascular disease, inflammation and endothelial activation were measured. Within the white matter, tissue in closest proximity to perivascular spaces displayed greater 11C-PK11195 binding (P < 0.001) in the vicinity of perivascular spaces. Higher white matter perivascular spaces burden on the visual rating scale was associated with higher white matter 11C-PK11195 binding (ρ = 0.469, false discovery rate-corrected P = 0.009); values for the volume of perivascular spaces showed a similar trend. In contrast, there were no associations between the burden of basal ganglia perivascular spaces and 11C-PK11195 binding. No marker of perivascular spaces was correlated with blood-brain barrier permeability. There was no association between markers of perivascular spaces and blood biomarkers of systemic inflammation. Our findings demonstrate that white matter perivascular spaces are associated with increased 11C-PK11195 binding, consistent with neuroinflammation playing a role in enlargement of white matter perivascular spaces. Further longitudinal and intervention studies are required to determine whether the relationship between neuroinflammation and enlarged perivascular spaces is causal.

Indexed as

Cerebral Small Vessel DiseasesGlymphatic SystemNeuroinflammatory DiseasesAgedAged, 80 and overBlood-Brain BarrierFemaleHumansIsoquinolinesMagnetic Resonance ImagingMaleMiddle AgedPositron-Emission TomographyWhite MatterIsoquinolinesPK 11195blood–brain barriercerebral small vessel diseaseneuroinflammationperivascular space

Identifiers

PMID39509331
PMCPMC12073995

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.