Literature DB >> 22512077

Metabonomics for discovering biomarkers of hepatotoxicity and nephrotoxicity.

Aihua Zhang1, Hui Sun, Ping Wang, Ying Han, Xijun Wang.   

Abstract

Metabonomics has played increasingly important roles in pharmaceutical research and development. Safety assessment of drugs is a key stage in drug development and one which represents a significant attritional hurdle. However, characterization of the molecular mechanisms of drug toxicity still remains an enormous challenge. Recent advancements in 'omics' sciences, and in particular metabonomics, has enabled some elucidation or insights into toxicological sequelae. Metabonomics is a global metabolic profiling framework which utilizes high resolution analytics together with chemometric statistical tools to derive an integrated picture of both endogenous and xenobiotic metabolism. Hepatotoxicity and nephrotoxicity are major reasons that drugs are withdrawn post-market, and hence it is of major concern to both the Food and Drug Administration and pharmaceutical companies. There is a strong need to develop reliable biomarkers that can accurately predict toxicity in the drug discovery and development process and are translatable to the clinic. A deeper understanding of global perturbations in biochemical pathways and useful biomarkers could provide valuable insights about mechanisms of toxicity. This review summarizes some current progress in the application of metabonomic in understanding drug-induced hepatotoxicity and nephrotoxicity, with an emphasis on identifying early toxicity biomarkers.

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Year:  2012        PMID: 22512077

Source DB:  PubMed          Journal:  Pharmazie        ISSN: 0031-7144            Impact factor:   1.267


  13 in total

Review 1.  Postgenomics diagnostics: metabolomics approaches to human blood profiling.

Authors:  Oxana Trifonova; Petr Lokhov; Alexander Archakov
Journal:  OMICS       Date:  2013-09-17

2.  Metabolomics as a tool to evaluate the toxicity of formulations containing amphotericin B, an antileishmanial drug.

Authors:  Délia C M Santos; Marta L Lima; Juliano S Toledo; Paula A Fernandes; Marta M G Aguiar; Ángeles López-Gonzálvez; Lucas A M Ferreira; Ana Paula Fernandes; Coral Barbas
Journal:  Toxicol Res (Camb)       Date:  2016-10-12       Impact factor: 3.524

3.  Genome-Scale Model-Based Identification of Metabolite Indicators for Early Detection of Kidney Toxicity.

Authors:  Venkat R Pannala; Kalyan C Vinnakota; Shanea K Estes; Irina Trenary; Tracy P OˈBrien; Richard L Printz; Jason A Papin; Jaques Reifman; Tatsuya Oyama; Masakazu Shiota; Jamey D Young; Anders Wallqvist
Journal:  Toxicol Sci       Date:  2020-02-01       Impact factor: 4.849

4.  Retracted Article: High-throughput metabolomics identifies serum metabolic signatures in acute kidney injury using LC-MS combined with pattern recognition approach.

Authors:  Hai-Hong Li; Jian-Liang Pan; Su Hui; Xiao-Wei Ma; Zhi-Long Wang; Hui-Xin Yao; Jun-Feng Wang; Hong Li
Journal:  RSC Adv       Date:  2018-04-18       Impact factor: 4.036

Review 5.  Metabolomics insights into pathophysiological mechanisms of nephrology.

Authors:  Aihua Zhang; Hui Sun; Shi Qiu; Xijun Wang
Journal:  Int Urol Nephrol       Date:  2013-11-12       Impact factor: 2.370

6.  Exploration of Biomarkers for Amoxicillin/Clavulanate-Induced Liver Injury: Multi-Omics Approaches.

Authors:  J Lee; S C Ji; B Kim; S Yi; K H Shin; J Y Cho; K S Lim; S H Lee; S H Yoon; J Y Chung; K S Yu; H S Park; S H Kim; I J Jang
Journal:  Clin Transl Sci       Date:  2016-10-26       Impact factor: 4.689

Review 7.  Drug-Induced Liver Injury: Biomarkers, Requirements, Candidates, and Validation.

Authors:  Lucy Meunier; Dominique Larrey
Journal:  Front Pharmacol       Date:  2019-12-11       Impact factor: 5.810

8.  High-throughput system metabolomics method reveals new mechanistic insights of chlorogenic acid by using liquid chromatography coupled to high resolution mass spectrometry.

Authors:  Yu Zhang; Yunxia Xiu; Chunna Ren; Cui Chen
Journal:  RSC Adv       Date:  2018-02-14       Impact factor: 3.361

9.  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

10.  Identification of metabolites, clinical chemistry markers and transcripts associated with hepatotoxicity.

Authors:  Andreas Buness; Adrian Roth; Annika Herrmann; Oliver Schmitz; Hennicke Kamp; Kristina Busch; Laura Suter
Journal:  PLoS One       Date:  2014-05-16       Impact factor: 3.240

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