Literature DB >> 26897037

Metabonomic biomarkers for risk factors of chronic kidney disease.

Libing Ye1, Wei Mao2.   

Abstract

PURPOSE: Chronic kidney disease, characterized by gradual loss of renal function and irreversible progression, is becoming a major public health problem worldwide. Chronic kidney disease may lead to end-stage renal disease, as well as increase the morbidity and mortality associated with cardiovascular disease.
METHODS: This review focuses on identifying risk factors indicating the need for intervention in early stages of chronic kidney disease, as well as determining factors that may improve patient prognosis. However, all the risk factors giving rise to the progression of chronic kidney disease have not yet been identified.
RESULTS: Metabonomics is a new type of omics that reflects the real-time pathophysiology of disease and focuses on endogenous metabolites of low molecular weight. This new and powerful tool has recently been used to explore metabonomic biomarkers of chronic kidney disease, enabling early diagnosis and timely intervention and treatment to slow the progression of chronic kidney disease.
CONCLUSIONS: This review summarizes recent findings on the identification, using a metabonomic approach, of biomarkers associated with risk factors for the development and progression of chronic kidney disease.

Entities:  

Keywords:  Biomarker; Chronic kidney disease; Metabonomics; Risk factor

Mesh:

Substances:

Year:  2016        PMID: 26897037     DOI: 10.1007/s11255-016-1239-6

Source DB:  PubMed          Journal:  Int Urol Nephrol        ISSN: 0301-1623            Impact factor:   2.370


  29 in total

Review 1.  'Metabonomics': understanding the metabolic responses of living systems to pathophysiological stimuli via multivariate statistical analysis of biological NMR spectroscopic data.

Authors:  J K Nicholson; J C Lindon; E Holmes
Journal:  Xenobiotica       Date:  1999-11       Impact factor: 1.908

Review 2.  Metabolomics--the link between genotypes and phenotypes.

Authors:  Oliver Fiehn
Journal:  Plant Mol Biol       Date:  2002-01       Impact factor: 4.076

3.  K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification.

Authors: 
Journal:  Am J Kidney Dis       Date:  2002-02       Impact factor: 8.860

4.  Systems biology: Metabonomics.

Authors:  Jeremy K Nicholson; John C Lindon
Journal:  Nature       Date:  2008-10-23       Impact factor: 49.962

5.  Metabolic phenotyping in health and disease.

Authors:  Elaine Holmes; Ian D Wilson; Jeremy K Nicholson
Journal:  Cell       Date:  2008-09-05       Impact factor: 41.582

6.  Clinical metabolomics and urinary NGAL for the early prediction of chronic kidney disease in healthy adults born ELBW.

Authors:  Luigi Atzori; Michele Mussap; Antonio Noto; Luigi Barberini; Melania Puddu; Elisabetta Coni; Federica Murgia; Milena Lussu; Vassilios Fanos
Journal:  J Matern Fetal Neonatal Med       Date:  2011-10

7.  Plasma metabolomic profiles in different stages of CKD.

Authors:  Vallabh O Shah; Raymond R Townsend; Harold I Feldman; Kirk L Pappan; Elizabeth Kensicki; David L Vander Jagt
Journal:  Clin J Am Soc Nephrol       Date:  2012-12-06       Impact factor: 8.237

Review 8.  Biomarkers in native and transplant kidneys: opportunities to improve prediction of outcomes in chronic kidney disease.

Authors:  Sacha A De Serres; Jay C Varghese; Adeera Levin
Journal:  Curr Opin Nephrol Hypertens       Date:  2012-11       Impact factor: 2.894

Review 9.  Metabolomics in chronic kidney disease.

Authors:  Ying-Yong Zhao
Journal:  Clin Chim Acta       Date:  2013-04-06       Impact factor: 3.786

10.  Risk factors for chronic kidney disease: an update.

Authors:  Rumeyza Kazancioğlu
Journal:  Kidney Int Suppl (2011)       Date:  2013-12
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  4 in total

1.  Shenkang Injection for Treating Renal Fibrosis-Metabonomics and Regulation of E3 Ubiquitin Ligase Smurfs on TGF-β/Smads Signal Transduction.

Authors:  Junju Zou; Xiaotao Zhou; Xian Chen; Yuerong Ma; Rong Yu
Journal:  Front Pharmacol       Date:  2022-06-02       Impact factor: 5.988

2.  NMR-based urine metabolic profiling and immunohistochemistry analysis of nephron changes in a mouse model of hypoxia-induced acute kidney injury.

Authors:  Tafadzwa Chihanga; Hannah N Ruby; Qing Ma; Sabina Bashir; Prasad Devarajan; Michael A Kennedy
Journal:  Am J Physiol Renal Physiol       Date:  2018-07-11

3.  Plasma metabolites associated with chronic kidney disease and renal function in adults from the Baltimore Longitudinal Study of Aging.

Authors:  Yuko Yamaguchi; Marta Zampino; Ruin Moaddel; Teresa K Chen; Qu Tian; Luigi Ferrucci; Richard D Semba
Journal:  Metabolomics       Date:  2021-01-11       Impact factor: 4.747

4.  Protection Effect of Exogenous Fibroblast Growth Factor 21 on the Kidney Injury in Vascular Calcification Rats.

Authors:  Yu-Chen Shi; Wei-Wei Lu; Yue-Long Hou; Kun Fu; Feng Gan; Shu-Juan Cheng; Shao-Ping Wang; Yong-Fen Qi; Jing-Hua Liu
Journal:  Chin Med J (Engl)       Date:  2018-03-05       Impact factor: 2.628

  4 in total

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