Literature DB >> 24217804

Metabolomics insights into pathophysiological mechanisms of nephrology.

Aihua Zhang1, Hui Sun, Shi Qiu, Xijun Wang.   

Abstract

Kidney diseases (KD), a major public health problem that affects about 10 % of the general population, manifest in progressive loss of renal function, which ultimately leads to complete kidney failure. However, current approaches based on renal histopathological results and clinical parameters lack sensitivity and are not sufficient to characterize the category and progression of nephrology or to predict nephrology progression risk reliably or to guide preventive interventions. The high incidence and financial burden of KD make it imperative to diagnose KD at early stages when therapeutic interventions are far more effective. Nowadays, the appearance of metabolomics (the high-throughput measurement and analysis of metabolites) has provided the framework for a comprehensive analysis of KD and serves as a starting point for generating novel molecular diagnostic tools for use in nephrology. Changes in the concentration profiles of a number of small-molecule metabolites found in either blood or urine can be used to localize kidney damage or assess kidneys suffering from injury. The power of metabolomics allows unparalleled opportunity to query the molecular mechanisms of KD. Novel metabolomics technologies have the ability to provide a deeper understanding of the disease beyond classical histopathology, redefine the characteristics of the disease state, and identify novel approaches to reduce renal failure. This review gives an overview of its application to important areas in clinical nephrology, with a particular focus on biomarker discovery. Great strides forward are being made in breaking down important barriers to the successful prevention and treatment of this devastating disorder.

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Year:  2013        PMID: 24217804     DOI: 10.1007/s11255-013-0600-2

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


  40 in total

Review 1.  Urine metabolomics for kidney cancer detection and biomarker discovery.

Authors:  Sheila Ganti; Robert H Weiss
Journal:  Urol Oncol       Date:  2011 Sep-Oct       Impact factor: 3.498

2.  Urinary metabolic phenotyping the slc26a6 (chloride-oxalate exchanger) null mouse model.

Authors:  Isabel Garcia-Perez; Alma Villaseñor; Anisha Wijeyesekera; Joram M Posma; Zhirong Jiang; Jeremiah Stamler; Peter Aronson; Robert Unwin; Coral Barbas; Paul Elliott; Jeremy Nicholson; Elaine Holmes
Journal:  J Proteome Res       Date:  2012-08-28       Impact factor: 4.466

Review 3.  Marking renal injury: can we move beyond serum creatinine?

Authors:  Jessica L Slocum; Michael Heung; Subramaniam Pennathur
Journal:  Transl Res       Date:  2012-02-03       Impact factor: 7.012

4.  Metabolic profiling reveals new serum biomarkers for differentiating diabetic nephropathy.

Authors:  Akiyoshi Hirayama; Eitaro Nakashima; Masahiro Sugimoto; Shin-ichi Akiyama; Waichi Sato; Shoichi Maruyama; Seiichi Matsuo; Masaru Tomita; Yukio Yuzawa; Tomoyoshi Soga
Journal:  Anal Bioanal Chem       Date:  2012-09-29       Impact factor: 4.142

Review 5.  Molecular diagnostic trends in urological cancer: biomarkers for non-invasive diagnosis.

Authors:  V Urquidi; C J Rosser; S Goodison
Journal:  Curr Med Chem       Date:  2012       Impact factor: 4.530

6.  Metabolomic changes and protective effect of (L)-carnitine in rat kidney ischemia/reperfusion injury.

Authors:  Ye Liu; Shikai Yan; Chengcheng Ji; Weixing Dai; Wenjuan Hu; Weidong Zhang; Changlin Mei
Journal:  Kidney Blood Press Res       Date:  2012-04-04       Impact factor: 2.687

7.  A metabolomics approach using juvenile cystic mice to identify urinary biomarkers and altered pathways in polycystic kidney disease.

Authors:  Sandra L Taylor; Sheila Ganti; Nikolay O Bukanov; Arlene Chapman; Oliver Fiehn; Michael Osier; Kyoungmi Kim; Robert H Weiss
Journal:  Am J Physiol Renal Physiol       Date:  2010-02-03

8.  Exploratory urinary metabolic biomarkers and pathways using UPLC-Q-TOF-HDMS coupled with pattern recognition approach.

Authors:  Aihua Zhang; Hui Sun; Ying Han; Ye Yuan; Ping Wang; Gaochen Song; Xiaoxia Yuan; Miao Zhang; Ning Xie; Xijun Wang
Journal:  Analyst       Date:  2012-07-31       Impact factor: 4.616

9.  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

10.  Urinary metabolic biomarker and pathway study of hepatitis B virus infected patients based on UPLC-MS system.

Authors:  Aihua Zhang; Hui Sun; Ying Han; Guangli Yan; Xijun Wang
Journal:  PLoS One       Date:  2013-05-16       Impact factor: 3.240

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  12 in total

1.  Metabolomic profile of amniotic fluid to evaluate lung maturity: the diaphragmatic hernia lamb model.

Authors:  Gloria Pelizzo; Maurizio Ballico; Maria Chiara Mimmi; José Louis Peirò; Mario Marotta; Costanzo Federico; Erika Andreatta; Ghassan Nakib; Maurilio Sampaolesi; Elisa Zambaiti; Valeria Calcaterra
Journal:  Multidiscip Respir Med       Date:  2014-11-04

2.  Exploring the metabolic biomarkers and pathway changes in crucian under carbonate alkalinity exposure using high-throughput metabolomics analysis based on UPLC-ESI-QTOF-MS.

Authors:  Yan-Chun Sun; Shi-Cheng Han; Ming-Zhu Yao; Hong-Bai Liu; Yu-Mei Wang
Journal:  RSC Adv       Date:  2020-01-09       Impact factor: 4.036

3.  Comparative metabolomics unveils molecular changes and metabolic networks of syringin against hepatitis B mice by untargeted mass spectrometry.

Authors:  Yi-Chang Jiang; Yuan-Feng Li; Ling Zhou; Da-Peng Zhang
Journal:  RSC Adv       Date:  2020-01-02       Impact factor: 4.036

4.  High-throughput untargeted metabolomics and chemometrics reveals pharmacological action and molecular mechanism of chuanxiong by ultra performance liquid chromatography combined with quadrupole-time-of-flight-mass spectrometry.

Authors:  Wen Luo; Jia-Wen Zhang; Li-Juan Zhang; Wei Zhang
Journal:  RSC Adv       Date:  2019-11-28       Impact factor: 4.036

5.  Untargeted metabolomics using liquid chromatography coupled with mass spectrometry for rapid discovery of metabolite biomarkers to reveal therapeutic effects of Psoralea corylifolia seeds against osteoporosis.

Authors:  Fu-Jiang Zhao; Zhao-Bo Zhang; Ning Ma; Xiao Teng; Zhen-Cheng Cai; Ming-Xi Liu
Journal:  RSC Adv       Date:  2019-11-01       Impact factor: 4.036

Review 6.  Targeting regulation of tryptophan metabolism for colorectal cancer therapy: a systematic review.

Authors:  Hong-Lian Zhang; Ai-Hua Zhang; Jian-Hua Miao; Hui Sun; Guang-Li Yan; Fang-Fang Wu; Xi-Jun Wang
Journal:  RSC Adv       Date:  2019-01-23       Impact factor: 4.036

7.  Ultra-performance liquid chromatography-mass spectrometry-based metabolomics reveals Huangqiliuyi decoction attenuates abnormal metabolism as a novel therapeutic opportunity for type 2 diabetes.

Authors:  Jiao Xu; Zhe-Hui Jiang; Xiu-Bo Liu; Yan Ma; Wei Ma; Ling Ma
Journal:  RSC Adv       Date:  2019-12-02       Impact factor: 4.036

8.  Changes in metabolic profiles during acute kidney injury and recovery following ischemia/reperfusion.

Authors:  Qingqing Wei; Xiao Xiao; Paul Fogle; Zheng Dong
Journal:  PLoS One       Date:  2014-09-05       Impact factor: 3.240

9.  Nuclear Magnetic Resonance Metabolomic Profiling of Mouse Kidney, Urine and Serum Following Renal Ischemia/Reperfusion Injury.

Authors:  François Jouret; Justine Leenders; Laurence Poma; Jean-Olivier Defraigne; Jean-Marie Krzesinski; Pascal de Tullio
Journal:  PLoS One       Date:  2016-09-22       Impact factor: 3.240

Review 10.  Metabolomic Laboratory-Developed Tests: Current Status and Perspectives.

Authors:  Steven Lichtenberg; Oxana P Trifonova; Dmitry L Maslov; Elena E Balashova; Petr G Lokhov
Journal:  Metabolites       Date:  2021-06-26
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