Journal of Cardiovascular Translational Research

, Volume 6, Issue 1, pp 81–93

Transcriptome Analysis in Patients with Progressive Coronary Artery Disease: Identification of Differential Gene Expression in Peripheral Blood

Authors

    • Klinik für Kardiologie und Angiologie IIUniversitäts-Herzzentrum Freiburg • Bad Krozingen
  • Nicole Langwieser
    • Medizinische Klinik mit Schwerpunkt Kardiologie, Campus Virchow KlinikumCharité
    • Berlin-Brandenburg Center for Regenerative Therapies
  • Harald Binder
    • Institut für Medizinische Biometrie, Epidemiologie und InformatikUniversitätsmedizin der Johannes-Gutenberg-Universität Mainz
    • Institut für Medizinische Biometrie und Medizinische InformatikUniversitätsklinikum Freiburg
  • Thorsten Kurz
    • Zentrum für Biosystemanalyse der Universität Freiburg
  • Christian Stratz
    • Klinik für Kardiologie und Angiologie IIUniversitäts-Herzzentrum Freiburg • Bad Krozingen
  • Rolf-Peter Kienzle
    • Klinik für Kardiologie und Angiologie IIUniversitäts-Herzzentrum Freiburg • Bad Krozingen
  • Dietmar Trenk
    • Klinik für Kardiologie und Angiologie IIUniversitäts-Herzzentrum Freiburg • Bad Krozingen
  • Dietlind Zohlnhöfer-Momm
    • Medizinische Klinik mit Schwerpunkt Kardiologie, Campus Virchow KlinikumCharité
    • Berlin-Brandenburg Center for Regenerative Therapies
  • Franz-Josef Neumann
    • Klinik für Kardiologie und Angiologie IIUniversitäts-Herzzentrum Freiburg • Bad Krozingen
Article

DOI: 10.1007/s12265-012-9420-5

Cite this article as:
Nührenberg, T.G., Langwieser, N., Binder, H. et al. J. of Cardiovasc. Trans. Res. (2013) 6: 81. doi:10.1007/s12265-012-9420-5

Abstract

Inflammation as a systemic process plays a central role in atherosclerotic plaque progression (PP). Here we investigated other systemic correlates of PP by global gene expression profiling (GEP) in peripheral blood. From a database of 45,727 coronary angiograms, we identified two patient groups with good risk factor control, but different clinical evolution: First, 16 patients had significant PP leading to repeated coronary interventions, and second, 16 patients had angiographically documented stable courses. GEP revealed 93 differentially expressed genes, of which 23 have unknown function. Among the remaining 70 genes, 10 were associated with progenitor and pluripotent cells, but only three genes with atherosclerosis. We developed a risk prediction gene signature by a multivariable statistical model integrating comprehensive laboratory and clinical patient data. This signature identified PP with high sensitivity and specificity for new patients, as estimated by resampling techniques. GEP results were validated by qPCR for ANK2 and GSTT1.

Keywords

Coronary artery diseaseAtherosclerosisPlaque progressionGene expression

Supplementary material

12265_2012_9420_MOESM1_ESM.ppt (120 kb)
ESM 1(PPT 119 kb)

Copyright information

© Springer Science+Business Media New York 2012