Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Clinical Outlook
  • Published:

Identifying leukocyte phenotypes by scRNA-seq to predict cardiovascular risk

Nature Reviews Cardiology volume 20, pages 439–440 (2023)Cite this article

Subjects

Contemporary tools to predict cardiovascular risk lack accuracy on an individual-patient level. The use of single-cell RNA sequencing to identify specific leukocyte patterns might overcome some of these limitations, propelling us towards a precision medicine approach.

This is a preview of subscription content, access via your institution

Access options

Buy this article

  • Purchase on Springer Link
  • Instant access to full article PDF
Buy now

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Identifying leukocyte phenotypes by scRNA-seq to predict cardiovascular risk.

References

  1. Bohula, E. A. et al. Inflammatory and cholesterol risk in the FOURIER trial. Circulation 138, 131–140 (2018).

    Article  CAS  PubMed  Google Scholar 

  2. Bugger, H. & Zirlik, A. Anti-inflammatory strategies in atherosclerosis. Hamostaseologie 41, 433–442 (2021).

    Article  PubMed  Google Scholar 

  3. Stone, G. W. et al. A prospective natural-history study of coronary atherosclerosis. N. Engl. J. Med. 364, 226–235 (2011).

    Article  CAS  PubMed  Google Scholar 

  4. Erlinge, D. et al. Identification of vulnerable plaques and patients by intracoronary near-infrared spectroscopy and ultrasound (PROSPECT II): a prospective natural history study. Lancet 397, 985–995 (2021).

    Article  CAS  PubMed  Google Scholar 

  5. Wolf, D., Zirlik, A. & Ley, K. Beyond vascular inflammation-recent advances in understanding atherosclerosis. Cell. Mol. Life Sci. 72, 3853–3869 (2015).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Kim, C. et al. Chemoresistance evolution in triple-negative breast cancer delineated by single-cell sequencing. Cell 173, 879–893.e13 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Winkels, H. et al. Atlas of the immune cell repertoire in mouse atherosclerosis defined by single-cell RNA-sequencing and mass cytometry. Circ. Res. 122, 1675–1688 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Wolf, D. et al. Pathogenic autoimmunity in atherosclerosis evolve from initially protective apolipoprotein B100-reactive CD4+ T-regulatory cells. Circulation 142, 1279–1293 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Fernandez, D. M. et al. Single-cell immune landscape of human atherosclerotic plaques. Nat. Med. 25, 1576–1588 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Leistner, D. M. et al. Differential immunological signature at the culprit site distinguishes acute coronary syndrome with intact from acute coronary syndrome with ruptured fibrous cap: results from the prospective translational OPTICO-ACS study. Eur. Heart J. 41, 3549–3560 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University Heart Center Graz, Department of Cardiology, Medical University Graz, Graz, Austria

    Johannes Gollmer & Andreas Zirlik

Authors
  1. Johannes Gollmer
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Andreas Zirlik
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Andreas Zirlik.

Ethics declarations

Competing interests

The authors declare no competing interests.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gollmer, J., Zirlik, A. Identifying leukocyte phenotypes by scRNA-seq to predict cardiovascular risk. Nat Rev Cardiol 20, 439–440 (2023). https://doi.org/10.1038/s41569-023-00891-1

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41569-023-00891-1

Search

Advanced search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing