ATP2A3 in Primary Aldosteronism: Machine Learning-Based Discovery and Functional Validation.

Journal: Hypertension (Dallas, Tex. : 1979)
PMID:

Abstract

BACKGROUND: Aldosterone-producing adenomas (APAs) are a common cause of primary aldosteronism that can lead to cardiovascular complications if left untreated. Machine learning-based bioinformatics approaches have emerged as powerful tools for identifying potential disease markers, gaining widespread recognition in biomedical research. We aimed to use machine learning to discover novel biomarkers of APAs to identify new pathophysiological mechanisms.

Authors

  • Zhuolun Sun
    Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, Ludwig-Maximilians-Universität München, Germany (Z.S., Y.P., M.B., M.R., T.A.W.).
  • Elisabeth Kemter
    Institute of Molecular Animal Breeding and Biotechnology, Gene Center, Ludwig Maximilian University of Munich (LMU), 81377 Munich, Germany; Center for Innovative Medical Models (CiMM), 85764 Oberschleißheim, Germany; German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany.
  • Yingxian Pang
    Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, Ludwig-Maximilians-Universität München, Germany (Z.S., Y.P., M.B., M.R., T.A.W.).
  • Martin Bidlingmaier
    Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, Ludwig-Maximilians-Universität München, Germany (Z.S., Y.P., M.B., M.R., T.A.W.).
  • Eckhard Wolf
    Institute of Molecular Animal Breeding and Biotechnology, Gene Center, Ludwig Maximilian University of Munich (LMU), 81377 Munich, Germany; Center for Innovative Medical Models (CiMM), 85764 Oberschleißheim, Germany; German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany.
  • Martin Reincke
    Medizinische Klinik und Poliklinik IV, Klinikum der Ludwig-Maximilians-Universität München, Munich, Germany.
  • Tracy Ann Williams
    Division of Internal Medicine and Hypertension, Department of Medical Sciences, University of Turin, Turin, Italy.