Evidence map›Paper›PMID 33452402›Full record

ArticleScientific reports2021

Quantitative MRI phenotypes capture biological heterogeneity in multiple sclerosis patients.

Ide Smets, An Goris, Marijne Vandebergh, Jelle Demeestere, Stefan Sunaert, Patrick Dupont, Bénédicte Dubois

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Lysophosphatidic acid signaling via LPAJournal of neurochemistry · 2022
    Article
  4. Article
  5. 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

7 authors.

Ide Smets *Laboratory for Neuroimmunology, Department of Neurosciences, KU Leuven, Herestraat 49, Box 1022, 3000, Leuven, Belgium.ORCID http://orcid.org/0000-0001-8174-2898
An Goris *Laboratory for Neuroimmunology, Department of Neurosciences, KU Leuven, Herestraat 49, Box 1022, 3000, Leuven, Belgium. an.goris@kuleuven.be.ORCID http://orcid.org/0000-0002-1276-6682
Marijne VandeberghLaboratory for Neuroimmunology, Department of Neurosciences, KU Leuven, Herestraat 49, Box 1022, 3000, Leuven, Belgium.ORCID http://orcid.org/0000-0001-9645-2615
Jelle DemeestereDepartment of Neurology, University Hospitals Leuven, 3000, Leuven, Belgium.ORCID http://orcid.org/0000-0001-8186-0237
Stefan SunaertLeuven Brain Institute KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0002-1177-4680
Patrick DupontLeuven Brain Institute KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0003-1980-2540
Bénédicte DuboisLaboratory for Neuroimmunology, Department of Neurosciences, KU Leuven, Herestraat 49, Box 1022, 3000, Leuven, Belgium.ORCID http://orcid.org/0000-0003-0604-8702

Funding

Wellcome TrustWellcome Trust 090532/Z/09/Z
6 · The paper itself

Abstract

Magnetization transfer ratio (MTR) and brain volumetric imaging are (semi-)quantitative MRI markers capturing demyelination, axonal degeneration and/or inflammation. However, factors shaping variation in these traits are largely unknown. In this study, we collected a longitudinal cohort of 33 multiple sclerosis (MS) patients and extended it cross-sectionally to 213. We measured MTR in lesions, normal-appearing white matter (NAWM), normal-appearing grey matter (NAGM) and total brain, grey matter, white matter and lesion volume. We also calculated the polygenic MS risk score. Longitudinally, inter-patient differences at inclusion and intra-patient changes during follow-up together explained > 70% of variance in MRI, with inter-patient differences at inclusion being the predominant source of variance. Cross-sectionally, we observed a moderate correlation of MTR between NAGM and NAWM and, less pronounced, with lesions. Age and gender explained about 30% of variance in total brain and grey matter volume. However, they contributed less than 10% to variance in MTR measures. There were no significant associations between MRI traits and the genetic risk score. In conclusion, (semi-)quantitative MRI traits change with ongoing disease activity but this change is modest in comparison to pre-existing inter-patient differences. These traits reflect individual variation in biological processes, which appear different from those involved in genetic MS susceptibility.

Indexed as

AdultAgedBiological Variation, IndividualBrainCerebral CortexCohort StudiesCross-Sectional StudiesFemaleGray MatterHumansLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle AgedMultiple SclerosisPhenotype

Identifiers

PMID33452402
PMCPMC7811013

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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.