Evidence map›Paper›PMID 39896815›Full record

ReviewFrontiers in immunology2024

Mass cytometry: exploring the immune landscape of systemic autoimmune and inflammatory diseases in the past fourteen years.

Aïcha Kante, Mathieu F Chevalier, Damien Sène, Jeanne Chauffier, Stéphane Mouly, Benjamin Glenn Chousterman, Fériel Azibani, Benjamin Terrier, Théo Pezel, Cloé Comarmond

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Resetting immunometabolic set points in autoimmune disease.Journal of translational autoimmunity · 2026
    Review
  2. Review
  3. 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

10 authors.

Aïcha KanteDepartment of Internal Medicine, Lariboisière Hospital, Assistance Publique - Hôpitaux de Paris (AP-HP), Université Paris Cité, Paris, France.
Mathieu F ChevalierINSERM UMR-S 976, Institut de Recherche Saint-Louis, Université Paris Cité, Paris, France.
Damien SèneDepartment of Internal Medicine, Lariboisière Hospital, Assistance Publique - Hôpitaux de Paris (AP-HP), Université Paris Cité, Paris, France.
Jeanne ChauffierDepartment of Internal Medicine, Lariboisière Hospital, Assistance Publique - Hôpitaux de Paris (AP-HP), Université Paris Cité, Paris, France.
Stéphane MoulyDepartment of Internal Medicine, Lariboisière Hospital, Assistance Publique - Hôpitaux de Paris (AP-HP), Université Paris Cité, Paris, France.
Benjamin Glenn ChoustermanDepartment of Anesthesiology and Intensive Care, Lariboisière Hospital, Assistance Publique - Hôpitaux de Paris (AP-HP), Paris, France.
Fériel AzibaniINSERM UMR-S 942 MASCOT - Université Paris Cité, Paris, France.
Benjamin TerrierDepartment of Internal Medicine, Cochin Hospital, Assistance Publique - Hôpitaux de Paris (AP-HP), Université Paris Cité, Paris, France.
Théo PezelINSERM UMR-S 942 MASCOT - Université Paris Cité, Paris, France.
Cloé ComarmondDepartment of Internal Medicine, Lariboisière Hospital, Assistance Publique - Hôpitaux de Paris (AP-HP), Université Paris Cité, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Auto-immune and inflammatory diseases are heterogenous in their clinical manifestations and prognosis, even among individuals presenting with the same pathology. Understanding the immunological alterations involved in their pathogenesis provides valuable insights in different clinical phenotypes and treatment responses. Immunophenotyping could lead to significant improvements in diagnosis, monitoring, initial treatment decisions and follow-up in autoimmune and inflammatory diseases. Mass cytometry provides measurement of over 40 simultaneous cellular parameters at single-cell resolution, and therefore holds immense potential to evaluate complex cellular systems and for high-dimensional single-cell analysis. The high dimensionality of mass cytometry provides better coverage of immune populations dynamics, with sufficient power to identify rare cell types compared to flow cytometry. In this comprehensive review, we explore how mass cytometry findings contributed in the past decade to a deeper understanding of the cellular actors involved in systemic auto-immune and auto-inflammatory diseases with their respective therapeutic and prognostic impact. We also delve into the bioinformatical approaches applied to mass cytometry to analyze the high volumes of data generated, as well as the impact of the use of complementary single cell RNA sequencing, and their spatial modalities. Our analysis highlights the fact that mass cytometry captures major information on cell populations providing insights on the complex pathogenesis of autoimmune diseases. Future research designs could include mass cytometry findings in association to other -omics to stratify patients in adequate therapeutic arms and provide advancements in personalized therapies in the field of auto-immune and inflammatory diseases.

Indexed as

Autoimmune DiseasesFlow CytometryImmunophenotypingInflammationAnimalsHumansSingle-Cell AnalysisCyTOFimaging mass cytometrymass cytometryscRNA seqsingle-cellsystemic autoimmune diseasessystemic inflammatory diseases

Identifiers

PMID39896815
PMCPMC11782038

What OpenQuestion holds

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Registered trials

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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.