Literature DB >> 26235490

Metabolic biomarkers for chronic kidney disease.

Marc Breit1, Klaus M Weinberger2.   

Abstract

Chronic kidney disease (CKD) is an increasingly recognized burden for patients and health care systems with high (and growing) global incidence and prevalence, significant mortality, and disproportionately high treatment costs. Yet, the available diagnostic tools are either impractical in clinical routine or have serious shortcomings impeding a well-informed disease management although optimized treatment strategies with proven benefits for the patients have become available. Advances in bioanalytical technologies have facilitated studies that identified genomic, proteomic, and metabolic biomarker candidates, and confirmed some of them in independent cohorts. This review summarizes the CKD-related markers discovered so far, and focuses on compounds and pathways, for which there is quantitative data, substantiating evidence from translational research, and a mechanistic understanding of the processes involved. Also, multiparametric marker panels have been suggested that showed promising diagnostic and prognostic performance in initial analyses although the data basis from prospective trials is very limited. Large-scale studies, however, are underway and will provide the information for validating a set of parameters and discarding others. Finally, the path from clinical research to a routine application is discussed, focusing on potential obstacles such as the use of mass spectrometry, and the feasibility of obtaining regulatory approval for targeted metabolomics assays.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biomarker discovery; Chronic kidney disease; Clinical validation; Metabolic biomarker; Multiparametric marker panels; Targeted metabolomics

Mesh:

Substances:

Year:  2015        PMID: 26235490     DOI: 10.1016/j.abb.2015.07.018

Source DB:  PubMed          Journal:  Arch Biochem Biophys        ISSN: 0003-9861            Impact factor:   4.013


  12 in total

1.  Metabolomic Markers of Kidney Function Decline in Patients With Diabetes: Evidence From the Chronic Renal Insufficiency Cohort (CRIC) Study.

Authors:  Brian Kwan; Tobias Fuhrer; Jing Zhang; Manjula Darshi; Benjamin Van Espen; Daniel Montemayor; Ian H de Boer; Mirela Dobre; Chi-Yuan Hsu; Tanika N Kelly; Dominic S Raj; Panduranga S Rao; Santosh L Saraf; Julia Scialla; Sushrut S Waikar; Kumar Sharma; Loki Natarajan
Journal:  Am J Kidney Dis       Date:  2020-05-05       Impact factor: 8.860

2.  Association Between Newborn Metabolic Profiles and Pediatric Kidney Disease.

Authors:  Manish M Sood; Malia S Q Murphy; Steven Hawken; Coralie A Wong; Beth K Potter; Kevin D Burns; Anne Tsampalieros; Katherine M Atkinson; Pranesh Chakraborty; Kumanan Wilson
Journal:  Kidney Int Rep       Date:  2018-02-10

3.  The relationship between blood metabolites of the tryptophan pathway and kidney function: a bidirectional Mendelian randomization analysis.

Authors:  Yurong Cheng; Yong Li; Paula Benkowitz; Claudia Lamina; Anna Köttgen; Peggy Sekula
Journal:  Sci Rep       Date:  2020-07-29       Impact factor: 4.379

4.  Meprin β metalloproteases associated with differential metabolite profiles in the plasma and urine of mice with type 1 diabetes and diabetic nephropathy.

Authors:  Jessica Gooding; Lei Cao; Courtney Whitaker; Jean-Marie Mwiza; Mizpha Fernander; Faihaa Ahmed; Zach Acuff; Susan McRitchie; Susan Sumner; Elimelda Moige Ongeri
Journal:  BMC Nephrol       Date:  2019-04-25       Impact factor: 2.388

5.  Plasma acylcarnitines could predict prognosis and evaluate treatment of IgA nephropathy.

Authors:  Fang-Ying Xia; Li Zhu; Chao Xu; Qing-Qing Wu; Wan-Jia Chen; Rong Zeng; Yue-Yi Deng
Journal:  Nutr Metab (Lond)       Date:  2019-01-08       Impact factor: 4.169

6.  Targeted Metabolomic Profiling of Peritoneal Dialysis Effluents Shows Anti-oxidative Capacity of Alanyl-Glutamine.

Authors:  Florian M Wiesenhofer; Rebecca Herzog; Michael Boehm; Anja Wagner; Markus Unterwurzacher; David C Kasper; Seth L Alper; Andreas Vychytil; Christoph Aufricht; Klaus Kratochwill
Journal:  Front Physiol       Date:  2019-01-21       Impact factor: 4.566

7.  Identification of biomarkers for development of end-stage kidney disease in chronic kidney disease by metabolomic profiling.

Authors:  Tomonori Kimura; Keiko Yasuda; Ryohei Yamamoto; Tomoyoshi Soga; Hiromi Rakugi; Terumasa Hayashi; Yoshitaka Isaka
Journal:  Sci Rep       Date:  2016-05-18       Impact factor: 4.379

8.  Proteomic Biomarkers Panel: New Insights in Chronic Kidney Disease.

Authors:  Simona Mihai; Elena Codrici; Ionela Daniela Popescu; Ana-Maria Enciu; Elena Rusu; Diana Zilisteanu; Radu Albulescu; Gabriela Anton; Cristiana Tanase
Journal:  Dis Markers       Date:  2016-09-07       Impact factor: 3.434

9.  The metabolomic quest for a biomarker in chronic kidney disease.

Authors:  Robert Davies
Journal:  Clin Kidney J       Date:  2018-06-02

Review 10.  Potential for Novel Biomarkers in Diabetes-Associated Chronic Kidney Disease: Epigenome, Metabolome, and Gut Microbiome.

Authors:  Ashani Lecamwasam; Elif I Ekinci; Richard Saffery; Karen M Dwyer
Journal:  Biomedicines       Date:  2020-09-10
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