Assessment and Risk Prediction of Chronic Kidney Disease and Kidney Fibrosis Using Non-Invasive Biomarkers.

Rupprecht H, Catanese L, Amann KU, Hengel FE, Huber TB, Latosinska A, Lindenmeyer MT, Mischak H, Siwy J, Wendt R, Beige J (2024)

Publication Type: Journal article, Review article

Publication year: 2024

Journal

International Journal of Molecular Sciences MDPI

Book Volume: 25

Journal Issue: 7

DOI: 10.3390/ijms25073678

Abstract

Effective management of chronic kidney disease (CKD), a major health problem worldwide, requires accurate and timely diagnosis, prognosis of progression, assessment of therapeutic efficacy, and, ideally, prediction of drug response. Multiple biomarkers and algorithms for evaluating specific aspects of CKD have been proposed in the literature, many of which are based on a small number of samples. Based on the evidence presented in relevant studies, a comprehensive overview of the different biomarkers applicable for clinical implementation is lacking. This review aims to compile information on the non-invasive diagnostic, prognostic, and predictive biomarkers currently available for the management of CKD and provide guidance on the application of these biomarkers. We specifically focus on biomarkers that have demonstrated added value in prospective studies or those based on prospectively collected samples including at least 100 subjects. Published data demonstrate that several valid non-invasive biomarkers of potential value in the management of CKD are currently available.

Authors with CRIS profile

Kerstin Ute Amann Department of Nephropathology

Involved external institutions

Klinikum Bayreuth DE Germany (DE) Klinikum St. Georg DE Germany (DE) Universitätsklinikum Hamburg-Eppendorf (UKE) DE Germany (DE) mosaiques diagnostics and therapeutics AG DE Germany (DE)

How to cite

APA:

Rupprecht, H., Catanese, L., Amann, K.U., Hengel, F.E., Huber, T.B., Latosinska, A.,... Beige, J. (2024). Assessment and Risk Prediction of Chronic Kidney Disease and Kidney Fibrosis Using Non-Invasive Biomarkers. International Journal of Molecular Sciences, 25(7). https://doi.org/10.3390/ijms25073678

MLA:

Rupprecht, Harald, et al. "Assessment and Risk Prediction of Chronic Kidney Disease and Kidney Fibrosis Using Non-Invasive Biomarkers." International Journal of Molecular Sciences 25.7 (2024).

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