Evidence map›Paper›PMID 31368890›Full record

ArticleeLife2019

Multiplexed imaging of immune cells in staged multiple sclerosis lesions by mass cytometry.

Valeria Ramaglia, Salma Sheikh-Mohamed, Karen Legg, Calvin Park, Olga L Rojas, Stephanie Zandee, Fred Fu, Olga Ornatsky, Eric C Swanson, David Pitt and 3 more

Abstract readCase Reports
In one paragraph

Article in eLife, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing 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

56 citing papers in PubMed.

  1. Emerging technologies in the spatial proteomics landscape.Analytical and bioanalytical chemistry · 2026
    Review
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  3. Article
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  5. Article
  6. Review
  7. Article
  8. Article
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  10. Article
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  13. How Early Is Early Multiple Sclerosis?Journal of clinical medicine · 2023
    Review
  14. Article
  15. Dissecting the brain with spatially resolved multi-omics.Journal of pharmaceutical analysis · 2023
    Review
  16. Review
  17. Toxins · 2023
    Article
  18. Review
  19. Review
  20. 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

13 authors.

Valeria RamagliaDepartment of Immunology, University of Toronto, Toronto, Canada.ORCID 0000-0002-9401-5988
Salma Sheikh-MohamedDepartment of Immunology, University of Toronto, Toronto, Canada.
Karen LeggDepartment of Immunology, University of Toronto, Toronto, Canada.
Calvin ParkDepartment of Neurology, Yale School of Medicine, New Haven, United States.
Olga L RojasDepartment of Immunology, University of Toronto, Toronto, Canada.
Stephanie ZandeeDepartment of Neuroscience, Faculty of Medicine, Université de Montréal, Montreal, Canada.
Fred FuSTTARR Innovation Centre, University Health Network, Toronto, Canada.
Olga OrnatskyFluidigm Canada Inc, Markham, Canada.
Eric C SwansonFluidigm Canada Inc, Markham, Canada.ORCID 0000-0001-8454-1207
David PittDepartment of Neurology, Yale School of Medicine, New Haven, United States.ORCID 0000-0002-6407-9542
Alexandre PratDepartment of Neuroscience, Faculty of Medicine, Université de Montréal, Montreal, Canada.ORCID 0000-0001-6188-0580
Trevor D McKeeSTTARR Innovation Centre, University Health Network, Toronto, Canada.
Jennifer L GommermanDepartment of Immunology, University of Toronto, Toronto, Canada.ORCID 0000-0003-4576-6168

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Defining the contribution of astrocytes to genetic MS susceptibilityR01NS112907 · NINDS · YALE UNIVERSITY · PI PITT, DAVID · 2019 to 2023
$2.2M
Detection, characterization and treatment of chronic microglial inflammation in established MS lesionsR01NS102267 · NINDS · YALE UNIVERSITY · PI PITT, DAVID · 2017 to 2021
$2.0M
National Multiple Sclerosis Society RR-1602-07777NCATS NIH HHS UL1 TR001863NINDS NIH HHS R01 NS102267NINDS NIH HHS R01 NS112907
6 · The paper itself

Abstract

Multiple sclerosis (MS) is characterized by demyelinated and inflammatory lesions in the brain and spinal cord that are highly variable in terms of cellular content. Here, we used imaging mass cytometry (IMC) to enable the simultaneous imaging of 15+ proteins within staged MS lesions. To test the potential for IMC to discriminate between different types of lesions, we selected a case with severe rebound MS disease activity after natalizumab cessation. With post-acquisition analysis pipelines we were able to: (1) Discriminate demyelinating macrophages from the resident microglial pool; (2) Determine which types of lymphocytes reside closest to blood vessels; (3) Identify multiple subsets of T and B cells, and (4) Ascertain dynamics of T cell phenotypes vis-à-vis lesion type and location. We propose that IMC will enable a comprehensive analysis of single-cell phenotypes, their functional states and cell-cell interactions in relation to lesion morphometry and demyelinating activity in MS patients.

Indexed as

AdultFemaleHumansImage CytometryImmunologic FactorsLeukocytesMultiple SclerosisNatalizumabProteinsImmunologic FactorsNatalizumabProteinshumanimaging mass cytometryimmunologyimmunopathologyinflammationlesionsmultiple sclerosis

Identifiers

PMID31368890
PMCPMC6707785

What OpenQuestion holds

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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.