Literature DB >> 23538740

Applications of metabolomics for kidney disease research: from biomarkers to therapeutic targets.

Hiromi I Wettersten1, Robert H Weiss.   

Abstract

Metabolomics is one of the relative newcomers of the omics techniques and is likely the one most closely related to actual real-time disease pathophysiology. Hence, it has the power to yield not only specific biomarkers but also insight into the pathophysiology of disease. Despite this power, metabolomics as applied to kidney disease is still in its early adolescence and has not yet reached the mature stage of clinical application, i.e., specific biomarker and therapeutic target discovery. On the other hand, the insight gained from hints into what makes these diseases tick, as is evident from the metabolomics pathways which have been found to be altered in kidney cancer, are now beginning to bear fruit in leading to potential therapeutic targets. It is quite likely that, with greater numbers of clinical materials and with more investigators jumping into the field, metabolomics may well change the course of kidney disease research.

Entities:  

Keywords:  biomarker; kidney disease; metabolomics; therapeutic target

Mesh:

Substances:

Year:  2013        PMID: 23538740      PMCID: PMC3674034          DOI: 10.4161/org.24322

Source DB:  PubMed          Journal:  Organogenesis        ISSN: 1547-6278            Impact factor:   2.500


  31 in total

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Authors:  Karsten Suhre; Christa Meisinger; Angela Döring; Elisabeth Altmaier; Petra Belcredi; Christian Gieger; David Chang; Michael V Milburn; Walter E Gall; Klaus M Weinberger; Hans-Werner Mewes; Martin Hrabé de Angelis; H-Erich Wichmann; Florian Kronenberg; Jerzy Adamski; Thomas Illig
Journal:  PLoS One       Date:  2010-11-11       Impact factor: 3.240

6.  Discovery of metabolomics biomarkers for early detection of nephrotoxicity.

Authors:  Kurt J Boudonck; Matthew W Mitchell; László Német; Lilla Keresztes; Abraham Nyska; Doron Shinar; Moti Rosenstock
Journal:  Toxicol Pathol       Date:  2009-04       Impact factor: 1.902

Review 7.  Aminoglycoside-induced Fanconi's syndrome.

Authors:  J Z Melnick; M Baum; J R Thompson
Journal:  Am J Kidney Dis       Date:  1994-01       Impact factor: 8.860

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Authors:  Ethan Yixun Xu; Ally Perlina; Heather Vu; Sean P Troth; Richard J Brennan; Amy G Aslamkhan; Qiuwei Xu
Journal:  Chem Res Toxicol       Date:  2008-07-26       Impact factor: 3.739

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Authors:  Timothy D Veenstra
Journal:  Genome Med       Date:  2012-04-30       Impact factor: 11.117

10.  Metabolic profiling reveals key metabolic features of renal cell carcinoma.

Authors:  Gareth Catchpole; Alexander Platzer; Cornelia Weikert; Carsten Kempkensteffen; Manfred Johannsen; Hans Krause; Klaus Jung; Kurt Miller; Lothar Willmitzer; Joachim Selbig; Steffen Weikert
Journal:  J Cell Mol Med       Date:  2011-01       Impact factor: 5.310

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  8 in total

Review 1.  Metabonomic biomarkers for risk factors of chronic kidney disease.

Authors:  Libing Ye; Wei Mao
Journal:  Int Urol Nephrol       Date:  2016-02-20       Impact factor: 2.370

2.  UPLC-MS-based metabolomics reveals metabolic dysregulation in ALDH1A1-overexpressed lung adenocarcinoma cells.

Authors:  Yang Wang; Cong-Hui Wang; Yu-Fei Zhang; Liang Zhu; Hui-Min Lei; Ya-Bin Tang
Journal:  Metabolomics       Date:  2019-03-25       Impact factor: 4.290

3.  Kidney harvesting and metabolite extraction for metabolomics studies in rodents.

Authors:  Igor Maksimovic; Song Zhang; Ivan Vuckovic; Maria V Irazabal
Journal:  Methods Cell Biol       Date:  2019-07-26       Impact factor: 1.441

4.  Serum metabolic profile of postoperative acute kidney injury following infant cardiac surgery with cardiopulmonary bypass.

Authors:  Jesse A Davidson; Benjamin S Frank; Tracy T Urban; Mark Twite; James Jaggers; Ludmila Khailova; Jelena Klawitter
Journal:  Pediatr Nephrol       Date:  2021-05-05       Impact factor: 3.651

5.  Tryptophan as a surrogate prognostic marker for diabetic nephropathy.

Authors:  Chien-An Chou; Chia-Ni Lin; Daniel Tsun-Yee Chiu; I-Wen Chen; Szu-Tah Chen
Journal:  J Diabetes Investig       Date:  2017-08-08       Impact factor: 4.232

6.  Urinary metabolites associate with the rate of kidney function decline in patients with autosomal dominant polycystic kidney disease.

Authors:  Shosha E I Dekker; Aswin Verhoeven; Darius Soonawala; Dorien J M Peters; Johan W de Fijter; Oleg A Mayboroda
Journal:  PLoS One       Date:  2020-05-22       Impact factor: 3.240

7.  Integrated Metabolomics and Network Pharmacology Approach to Explain Possible Action Mechanisms of Xin-Sheng-Hua Granule for Treating Anemia.

Authors:  Han-Qing Pang; Shi-Jun Yue; Yu-Ping Tang; Yan-Yan Chen; Ya-Jie Tan; Yu-Jie Cao; Xu-Qin Shi; Gui-Sheng Zhou; An Kang; Sheng-Liang Huang; Ya-Jun Shi; Jing Sun; Zhi-Shu Tang; Jin-Ao Duan
Journal:  Front Pharmacol       Date:  2018-03-02       Impact factor: 5.810

8.  Diagnostic value of plasma tryptophan and symmetric dimethylarginine levels for acute kidney injury among tacrolimus-treated kidney transplant patients by targeted metabolomics analysis.

Authors:  Feng Zhang; Qinghua Wang; Tianyi Xia; Shangxi Fu; Xia Tao; Yan Wen; Shen'an Chan; Shouhong Gao; Xiaojuan Xiong; Wansheng Chen
Journal:  Sci Rep       Date:  2018-10-02       Impact factor: 4.379

  8 in total

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