Evidence map›Paper›PMID 33006604›Full record

ArticleBrain : a journal of neurology2020

Brain TSPO-PET predicts later disease progression independent of relapses in multiple sclerosis.

Marcus Sucksdorff, Markus Matilainen, Jouni Tuisku, Eero Polvinen, Anna Vuorimaa, Johanna Rokka, Marjo Nylund, Eero Rissanen, Laura Airas

Open access · bronzeAbstract read
In one paragraph

Article in Brain : a journal of neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
95citing papers in PubMed, 1 pooled it
10.3field-weighted citation impact, top 1% of its field
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

95 citing papers in PubMed, 1 synthesis or guideline pooled it, 137 citations in OpenAlex.

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  16. Progression Independent of the Triggering Event in Neurologic Diseases.Neurology(R) neuroimmunology & neuroinflammation · 2025
    Article
  17. A scoping review on potential of novel developments in fever of unknown origin and inflammation of unknown origin: long-axial-field-of-view positron emission tomography/computed tomography and novel radiotracers.The quarterly journal of nuclear medicine and molecular imaging : official publication of the Italian Association of Nuclear Medicine (AIMN) [and] the International Association of Radiopharmacology (IAR), [and] Section of the Society of... · 2025
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35 more citing papers are in PubMed but not listed here.

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

9 authors at 1 institution in 1 country.

Marcus SucksdorffTurku PET Centre, Turku University Hospital and University of Turku, Turku, Finland.
Markus MatilainenTurku PET Centre, Turku University Hospital and University of Turku, Turku, Finland.
Jouni TuiskuTurku PET Centre, Turku University Hospital and University of Turku, Turku, Finland.
Eero PolvinenTurku PET Centre, Turku University Hospital and University of Turku, Turku, Finland.
Anna VuorimaaTurku PET Centre, Turku University Hospital and University of Turku, Turku, Finland.
Johanna RokkaTurku PET Centre, Turku University Hospital and University of Turku, Turku, Finland.
Marjo NylundTurku PET Centre, Turku University Hospital and University of Turku, Turku, Finland.
Eero RissanenTurku PET Centre, Turku University Hospital and University of Turku, Turku, Finland.
Laura AirasTurku PET Centre, Turku University Hospital and University of Turku, Turku, Finland.
University of Turku · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Overactivation of microglia is associated with most neurodegenerative diseases. In this study we examined whether PET-measurable innate immune cell activation predicts multiple sclerosis disease progression. Activation of microglia/macrophages was measured using the 18-kDa translocator protein (TSPO)-binding radioligand 11C-PK11195 and PET imaging in 69 patients with multiple sclerosis and 18 age- and sex-matched healthy controls. Radioligand binding was evaluated as the distribution volume ratio from dynamic PET images. Conventional MRI and disability measurements using the Expanded Disability Status Scale were performed for patients at baseline and 4.1 ± 1.9 (mean ± standard deviation) years later. Fifty-one (74%) of the patients were free of relapses during the follow-up period. Patients had increased activation of innate immune cells in the normal-appearing white matter and in the thalamus compared to the healthy control group (P = 0.033 and P = 0.003, respectively, Wilcoxon). Forward-type stepwise logistic regression was used to assess the best variables predicting disease progression. Baseline innate immune cell activation in the normal-appearing white matter was a significant predictor of later progression when the entire multiple sclerosis cohort was assessed [odds ratio (OR) = 4.26; P = 0.048]. In the patient subgroup free of relapses there was an association between macrophage/microglia activation in the perilesional normal-appearing white matter and disease progression (OR = 4.57; P = 0.013). None of the conventional MRI parameters measured at baseline associated with later progression. Our results strongly suggest that innate immune cell activation contributes to the diffuse neural damage leading to multiple sclerosis disease progression independent of relapses.

Indexed as

AdultBrainCohort StudiesDisability EvaluationDisease ProgressionFemaleHumansIsoquinolinesMagnetic Resonance ImagingMaleMiddle AgedMultiple SclerosisPositron-Emission TomographyPredictive Value of TestsRadioligand AssayReceptors, GABAIsoquinolinesPK 11195Receptors, GABATSPO protein, humanmicrogliaPET imagingpredictionprogressive multiple sclerosisTSPO

Identifiers

PMID33006604
PMCPMC7719021
OpenAlexW3091544934

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.