Integrated single-cell analysis-based classification of vascular mononuclear phagocytes in mouse and human atherosclerosis

Author:

Zernecke Alma1ORCID,Erhard Florian2ORCID,Weinberger Tobias34ORCID,Schulz Christian34,Ley Klaus567ORCID,Saliba Antoine-Emmanuel8ORCID,Cochain Clément19ORCID

Affiliation:

1. Institute of Experimental Biomedicine, University Hospital Würzburg , Josef Schneider Str. 2, 97080 Würzburg , Germany

2. Institute for Virology and Immunobiology, Julius-Maximilians-University Würzburg , Versbacher Straße 7, 97078 Würzburg , Germany

3. Medizinische Klinik und Poliklinik I, Klinikum der Universität, Ludwig-Maximilians-Universität , Campus Großhadern Marchioninistraße 15, 81377 Munich , Germany

4. DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance , Munich , Germany

5. La Jolla Institute for Immunology , 9420 Athena Circle La Jolla, CA 92037 , USA

6. Department of Bioengineering, University of California , San Diego, La Jolla, CA 92093 , USA

7. Immunology Center of Georgia, Augusta University , Augusta, GA 30912 , USA

8. Helmholtz Institute for RNA-based Infection Research (HIRI), Helmholtz-Center for Infection Research (HZI) , Josef Schneider Str. 2, 97080 Würzburg , Germany

9. Comprehensive Heart Failure Center Würzburg, University Hospital Würzburg , Am Schwarzenberg 15, 97078 Würzburg , Germany

Abstract

Abstract Aims Accumulation of mononuclear phagocytes [monocytes, macrophages, and dendritic cells (DCs)] in the vessel wall is a hallmark of atherosclerosis. Using integrated single-cell analysis of mouse and human atherosclerosis, we here aimed to refine the nomenclature of mononuclear phagocytes in atherosclerotic vessels and to compare their transcriptomic profiles in mouse and human disease. Methods and results We integrated 12 single-cell RNA-sequencing (scRNA-seq) datasets of immune cells isolated from healthy or atherosclerotic mouse aortas, and data from 11 patients (n = 4 coronary vessels, n = 7 carotid endarterectomy specimens) from two studies. Integration of mouse data identified subpopulations with discrete transcriptomic signatures within previously described populations of aortic resident (Lyve1), inflammatory (Il1b), as well as foamy (Trem2hi) macrophages. We identified unique transcriptomic features distinguishing aortic intimal resident macrophages from atherosclerosis-associated Trem2hi macrophages. Also, populations of Xcr1+ Type 1 classical DCs (cDC1), Cd209a+ cDC2, and mature DCs (Ccr7, Fscn1) with a ‘mreg-DC’ signature were detected. In humans, we uncovered macrophage and DC populations with gene expression patterns similar to those observed in mice. In particular, core transcripts of the foamy/Trem2hi signature (TREM2, SPP1, GPNMB, CD9) mapped to a specific population of macrophages in human lesions. Comparison of mouse and human data and direct cross-species data integration suggested transcriptionally similar macrophage and DC populations in mice and humans. Conclusions We refined the nomenclature of mononuclear phagocytes in mouse atherosclerotic vessels, and show conserved transcriptomic features of macrophages and DCs in atherosclerosis in mice and humans, emphasizing the relevance of mouse models to study mononuclear phagocytes in atherosclerosis.

Funder

Interdisciplinary Center for Clinical Research

University Hospital Würzburg

Deutsche Forschungsgemeinschaft

German Research Foundation

BMBF

EMBO

SFB

German Centre for Cardiovascular Research

Ministry of Education and Research

NIH

Publisher

Oxford University Press (OUP)

Subject

Physiology (medical),Cardiology and Cardiovascular Medicine,Physiology

Reference76 articles.

1. Atherosclerosis;Libby;Nat Rev Dis Primers,2019

2. Immunity and inflammation in atherosclerosis;Wolf;Circ Res,2019

3. Macrophages in vascular inflammation and atherosclerosis;Cochain;Pflugers Arch,2017

4. Dendritic cells in atherosclerosis: evidence in mice and humans;Zernecke;Arterioscler Thromb Vasc Biol,2015

5. Abandoning M1/M2 for a network model of macrophage function;Nahrendorf;Circ Res,2016

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