Evidence map›Paper›PMID 37927302›Full record

ArticleClinical & translational immunology2023

Mass cytometry analysis reveals altered immune profiles in patients with coronary artery disease.

Katharine A Kott, Adam S Chan, Stephen T Vernon, Thomas Hansen, Taiyun Kim, Macha de Dreu, Bavani Gunasegaran, Andrew J Murphy, Ellis Patrick, Peter J Psaltis and 5 more

Open access · goldAbstract read
In one paragraph

Article in Clinical & translational immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 5 citations in OpenAlex.

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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

15 authors at 4 institutions in 1 country.

Katharine A KottCardiothoracic and Vascular Health Kolling Institute of Medical Research Sydney NSW Australia.ORCID https://orcid.org/0000-0001-9923-2722
Adam S ChanSchool of Mathematics and Statistics University of Sydney Sydney NSW Australia.
Stephen T VernonCardiothoracic and Vascular Health Kolling Institute of Medical Research Sydney NSW Australia.
Thomas HansenCardiothoracic and Vascular Health Kolling Institute of Medical Research Sydney NSW Australia.
Taiyun KimSchool of Mathematics and Statistics University of Sydney Sydney NSW Australia.
Macha de DreuSchool of Medical Sciences, Faculty of Medicine and Health University of Sydney Sydney NSW Australia.
Bavani GunasegaranCharles Perkins Centre University of Sydney Sydney NSW Australia.
Andrew J MurphyBaker Heart and Diabetes Institute Melbourne VIC Australia.
Ellis PatrickSchool of Mathematics and Statistics University of Sydney Sydney NSW Australia.
Peter J PsaltisMonash Cardiovascular Research Centre Clayton VIC Australia.
Stuart M GrieveCharles Perkins Centre University of Sydney Sydney NSW Australia.
Jean Y YangSchool of Mathematics and Statistics University of Sydney Sydney NSW Australia.
Barbara Fazekas de St GrothCharles Perkins Centre University of Sydney Sydney NSW Australia.
Helen M McGuireCharles Perkins Centre University of Sydney Sydney NSW Australia.ORCID https://orcid.org/0000-0003-2047-6543
Gemma A FigtreeCardiothoracic and Vascular Health Kolling Institute of Medical Research Sydney NSW Australia.
The University of Sydney · AUBaker Heart and Diabetes Institute · AUMonash Medical Centre · AUNew South Wales Department of Health · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The importance of inflammation in atherosclerosis is well accepted, but the role of the adaptive immune system is not yet fully understood. To further explore this, we assessed the circulating immune cell profile of patients with coronary artery disease (CAD) to identify discriminatory features by mass cytometry. Methods: Mass cytometry was performed on patient samples from the BioHEART-CT study, gated to detect 82 distinct cell subsets. CT coronary angiograms were analysed to categorise patients as having CAD (CAD Results: The discovery cohort included 117 patients (mean age 61 ± 12 years, 49% female); 79 patients (68%) were CAD Conclusion: We identified differences within immune subpopulations of CAD

Indexed as

atherosclerosisimmune signatureinflammationmass cytometryT regulatory cells

Identifiers

PMID37927302
PMCPMC10621005
OpenAlexW4388223153

What OpenQuestion 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 OpenQuestion graph.