Machine learning approach on plasma proteomics identifies signatures associated with obesity in the KORA FF4 cohort.

Journal: Diabetes, obesity & metabolism
PMID:

Abstract

AIMS: This study investigated the role of plasma proteins in obesity to identify predictive biomarkers and explore underlying biological mechanisms.

Authors

  • Jiefei Niu
    Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany.
  • Jonathan Adam
    Research Unit of Molecular Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.
  • Thomas Skurk
    School of Medicine, Technical University of Munich, Munich, Germany.
  • Jochen Seissler
    German Center for Diabetes Research (DZD), Neuherberg, Germany.
  • Qiuling Dong
    Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany.
  • Esienanwan Efiong
    Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany.
  • Christian Gieger
    Research Unit of Molecular Epidemiology and Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany.
  • Annette Peters
    Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.
  • Sapna Sharma
    German Center for Diabetes Research, Neuherberg, Germany.
  • Harald Grallert
    Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany.