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CITE-Seq Analysis Reveals a Differential Natural Killer Cell SPON2 Expression in Cardiovascular Disease Patients Impacted by Human-Cytomegalovirus Serostatus and Diabetes

  • Sujit Silas Armstrong
  • , Daniel G. Chen
  • , Sunil Kumar
  • , James R. Heath
  • , Matthew J. Feinstein
  • , John R. Greenland
  • , Daniel R. Calabrese
  • , Lewis L. Lanier
  • , Klaus Ley
  • , Avishai Shemesh

Research output: Contribution to journalArticlepeer-review

Abstract

Coronary artery disease (CAD) is linked to atherosclerosis plaque formation. In pro-inflammatory conditions, human Natural Killer (NK) cell frequencies in blood or plaque decrease; however, NK cells are underexplored in CAD pathogenesis, inflammatory mechanisms, and CAD comorbidities, such as human cytomegalovirus (HCMV) infection and diabetes. Analysis of PBMC CITE-seq data from sixty-one CAD patients revealed higher blood NK cell SPON2 expression in CAD patients with higher stenosis severity. Conversely, NK cell SPON2 expression was lower in pro-inflammatory atherosclerosis plaque tissue with an enriched adaptive NK cell gene signature. In CAD patients with higher stenosis severity, peripheral blood NK cell SPON2 expression was lower in patients with high HCMV-induced adaptive NK cell frequencies and corresponded to lower PBMC TGFβ transcript expression with dependency on diabetes status. These results suggest that high NK cell SPON2 expression is linked to atherosclerosis pro-homeostatic status and may have diagnostic and prognostic implications in cardiovascular disease.

Original languageEnglish (US)
Article number1369
JournalInternational journal of molecular sciences
Volume26
Issue number3
DOIs
StatePublished - Feb 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • SPON2
  • cardiovascular disease
  • cytomegalovirus
  • diabetes
  • natural killer cells

ASJC Scopus subject areas

  • Catalysis
  • Molecular Biology
  • Computer Science Applications
  • Spectroscopy
  • Physical and Theoretical Chemistry
  • Organic Chemistry
  • Inorganic Chemistry

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