Cell Reports (Nov 2023)

Integrative single-cell meta-analysis reveals disease-relevant vascular cell states and markers in human atherosclerosis

  • Jose Verdezoto Mosquera,
  • Gaëlle Auguste,
  • Doris Wong,
  • Adam W. Turner,
  • Chani J. Hodonsky,
  • Astrid Catalina Alvarez-Yela,
  • Yipei Song,
  • Qi Cheng,
  • Christian L. Lino Cardenas,
  • Konstantinos Theofilatos,
  • Maxime Bos,
  • Maryam Kavousi,
  • Patricia A. Peyser,
  • Manuel Mayr,
  • Jason C. Kovacic,
  • Johan L.M. Björkegren,
  • Rajeev Malhotra,
  • P. Todd Stukenberg,
  • Aloke V. Finn,
  • Sander W. van der Laan,
  • Chongzhi Zang,
  • Nathan C. Sheffield,
  • Clint L. Miller

Journal volume & issue
Vol. 42, no. 11
p. 113380

Abstract

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Summary: Coronary artery disease (CAD) is characterized by atherosclerotic plaque formation in the arterial wall. CAD progression involves complex interactions and phenotypic plasticity among vascular and immune cell lineages. Single-cell RNA-seq (scRNA-seq) studies have highlighted lineage-specific transcriptomic signatures, but human cell phenotypes remain controversial. Here, we perform an integrated meta-analysis of 22 scRNA-seq libraries to generate a comprehensive map of human atherosclerosis with 118,578 cells. Besides characterizing granular cell-type diversity and communication, we leverage this atlas to provide insights into smooth muscle cell (SMC) modulation. We integrate genome-wide association study data and uncover a critical role for modulated SMC phenotypes in CAD, myocardial infarction, and coronary calcification. Finally, we identify fibromyocyte/fibrochondrogenic SMC markers (LTBP1 and CRTAC1) as proxies of atherosclerosis progression and validate these through omics and spatial imaging analyses. Altogether, we create a unified atlas of human atherosclerosis informing cell state-specific mechanistic and translational studies of cardiovascular diseases.

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