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

Author:

Kott Katharine A123ORCID,Chan Adam S45,Vernon Stephen T123,Hansen Thomas1,Kim Taiyun45,de Dreu Macha6,Gunasegaran Bavani56,Murphy Andrew J7,Patrick Ellis45,Psaltis Peter J8,Grieve Stuart M56910,Yang Jean Y45,Fazekas de St Groth Barbara5611,McGuire Helen M5611ORCID,Figtree Gemma A1235

Affiliation:

1. Cardiothoracic and Vascular Health Kolling Institute of Medical Research Sydney NSW Australia

2. Department of Cardiology, Royal North Shore Hospital Northern Sydney Local Health District Sydney NSW Australia

3. Northern Clinical School, Faculty of Medicine and Health University of Sydney Sydney NSW Australia

4. School of Mathematics and Statistics University of Sydney Sydney NSW Australia

5. Charles Perkins Centre University of Sydney Sydney NSW Australia

6. School of Medical Sciences, Faculty of Medicine and Health University of Sydney Sydney NSW Australia

7. Baker Heart and Diabetes Institute Melbourne VIC Australia

8. Monash Cardiovascular Research Centre Clayton VIC Australia

9. Department of Radiology Royal Prince Alfred Hospital Sydney NSW Australia

10. Imaging and Phenotyping Laboratory, Charles Perkins Centre, Faculty of Medicine and Health University of Sydney Sydney NSW Australia

11. Ramaciotti Facility for Human Systems Biology University of Sydney Sydney NSW Australia

Abstract

AbstractObjectiveThe 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.MethodsMass 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+) or having normal coronary arteries (CAD).ResultsThe discovery cohort included 117 patients (mean age 61 ± 12 years, 49% female); 79 patients (68%) were CAD+. Mass cytometry identified changes in 15 T‐cell subsets, with higher numbers of proliferating, highly differentiated and cytotoxic cells and decreases in naïve T cells. Five T‐regulatory subsets were related to an age and gender‐independent increase in the odds of CAD incidence when expressing CCR2 (OR 1.12), CCR4 (OR 1.08), CD38 and CD45RO (OR 1.13), HLA‐DR (OR 1.06) and Ki67 (OR 1.22). Markers of proliferation and differentiation were also increased within B cells, while plasmacytoid dendritic cells were decreased. This combination of changes was assessed using SVM models in discovery and validation cohorts (area under the curve = 0.74 for both), confirming the robust nature of the immune signature detected.ConclusionWe identified differences within immune subpopulations of CAD+ patients which are indicative of a systemic immune response to coronary atherosclerosis. This immune signature needs further study via incorporation into risk scoring tools for the precision diagnosis of CAD.

Funder

Heart Research Australia

Publisher

Wiley

Subject

General Nursing,Immunology,Immunology and Allergy

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