Circulating miRNAs and Machine Learning for Lateralizing Primary Aldosteronism.

Journal: Hypertension (Dallas, Tex. : 1979)
PMID: 39417220

Abstract

BACKGROUND: Distinguishing between unilateral and bilateral primary aldosteronism, a major cause of secondary hypertension, is crucial due to different treatment approaches. While adrenal venous sampling is the gold standard, its invasiveness, limited availability, and often difficult interpretation pose challenges. This study explores the utility of circulating microRNAs (miRNAs) and machine learning in distinguishing between unilateral and bilateral forms of primary aldosteronism.

Authors

  • Bálint Vékony
    Department of Endocrinology (B.V., G.N., N.S., B.K.S., P.I.), Faculty of Medicine, Semmelweis University, Budapest, Hungary.
  • Gábor Nyirő
    Department of Endocrinology (B.V., G.N., N.S., B.K.S., P.I.), Faculty of Medicine, Semmelweis University, Budapest, Hungary.
  • Zoltan Herold
    Department of Internal Medicine and Oncology (B.V., G.N., Z.H., N.S., B.K.S., M.D., P.I.), Faculty of Medicine, Semmelweis University, Budapest, Hungary.
  • János Fekete
    Department of Bioinformatics (J.F.), Faculty of Medicine, Semmelweis University, Budapest, Hungary.
  • Filippo Ceccato
    Endocrinology Unit, Department of Medicine, University of Padova, Italy (F.C.).
  • Sven Gruber
    Department of Endocrinology, Diabetology and Clinical Nutrition, University Hospital and University of Zurich, Switzerland (S.G., F. Beuschlein).
  • Lydia Kürzinger
    Department of Internal Medicine I, Division of Endocrinology and Diabetes, University of Würzburg, Germany (L.K.).
  • Mirko Parasiliti-Caprino
    Endocrinology, Diabetes and Metabolism, Department of Medical Sciences, University of Turin, Italy (M.P.-C., F. Bioletto).
  • Fabio Bioletto
    Endocrinology, Diabetes and Metabolism, Department of Medical Sciences, University of Turin, Italy (M.P.-C., F. Bioletto).
  • Nikolette Szücs
    Department of Endocrinology (B.V., G.N., N.S., B.K.S., P.I.), Faculty of Medicine, Semmelweis University, Budapest, Hungary.
  • Attila Doros
    Centre for Translational Medicine, Semmelweis University, Üllői út 26, Budapest, 1085, Hungary.
  • Bálint Kende Szeredás
    Department of Endocrinology (B.V., G.N., N.S., B.K.S., P.I.), Faculty of Medicine, Semmelweis University, Budapest, Hungary.
  • Siti Khadijah Syed Mohammed Nazri
    Department of Medicine, Faculty of Medicine, The National University of Malaysia, Kuala Lumpur (S.K.S.M.N., E.A.A.).
  • Vanessa Fell
    Division of Endocrinology, Diabetes, Metabolism and Nutrition, Department of Internal Medicine (V.F., M.B., I.B.), Mayo Clinic, Rochester, MN.
  • Mohamed Bassiony
    Division of Endocrinology, Diabetes, Metabolism and Nutrition, Department of Internal Medicine (V.F., M.B., I.B.), Mayo Clinic, Rochester, MN.
  • Magdolna Dank
    Department of Internal Medicine and Oncology (B.V., G.N., Z.H., N.S., B.K.S., M.D., P.I.), Faculty of Medicine, Semmelweis University, Budapest, Hungary.
  • Elena Aisha Azizan
    Department of Medicine, Faculty of Medicine, The National University of Malaysia, Kuala Lumpur (S.K.S.M.N., E.A.A.).
  • Irina Bancos
    Division of Endocrinology, Metabolism and Nutrition, Mayo Clinic, Rochester, MN, USA.
  • Felix Beuschlein
    Medizinische Klinik and Poliklinik IV, Ludwig-Maximilians-Universität München, Munich, Germany.
  • Peter Igaz
    Department of Endocrinology (B.V., G.N., N.S., B.K.S., P.I.), Faculty of Medicine, Semmelweis University, Budapest, Hungary.

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