The urinary proteome as correlate and predictor of renal function in a population study

Yu-Mei Gu, Lutgarde Thijs, Yan-Ping Liu, Zhenyu Zhang, Lotte Jacobs, Thomas Koeck, Petra Zuerbig, Ralf Lichtinghagen, Korbinian Brand, Tatiana Kuznetsova, Laura Olivi, Peter Verhamme, Christian Delles, Harald Mischak, Jan A. Staessen

Research output: Contribution to journalArticleAcademicpeer-review

Original languageEnglish
Pages (from-to)2260-2268
JournalNephrology Dialysis Transplantation
Volume29
Issue number12
DOIs
Publication statusPublished - Dec 2014

Keywords

  • chronic kidney disease
  • eGFR
  • population science
  • renal function
  • urinary proteomics

Cite this

Gu, Y-M., Thijs, L., Liu, Y-P., Zhang, Z., Jacobs, L., Koeck, T., Zuerbig, P., Lichtinghagen, R., Brand, K., Kuznetsova, T., Olivi, L., Verhamme, P., Delles, C., Mischak, H., & Staessen, J. A. (2014). The urinary proteome as correlate and predictor of renal function in a population study. Nephrology Dialysis Transplantation, 29(12), 2260-2268. https://doi.org/10.1093/ndt/gfu234