Literature DB >> 19171931

The liver toxicity biomarker study: phase I design and preliminary results.

Robert N McBurney1, Wade M Hines, Linda S Von Tungeln, Laura K Schnackenberg, Richard D Beger, Carrie L Moland, Tao Han, James C Fuscoe, Ching-Wei Chang, James J Chen, Zhenqiang Su, Xiao-Hui Fan, Weida Tong, Shelagh A Booth, Raji Balasubramanian, Paul L Courchesne, Jennifer M Campbell, Armin Graber, Yu Guo, Peter J Juhasz, Tricin Y Li, Moira D Lynch, Nicole M Morel, Thomas N Plasterer, Edward J Takach, Chenhui Zeng, Frederick A Beland.   

Abstract

Drug-induced liver injury (DILI) is the primary adverse event that results in withdrawal of drugs from the market and a frequent reason for the failure of drug candidates in development. The Liver Toxicity Biomarker Study (LTBS) is an innovative approach to investigate DILI because it compares molecular events produced in vivo by compound pairs that (a) are similar in structure and mechanism of action, (b) are associated with few or no signs of liver toxicity in preclinical studies, and (c) show marked differences in hepatotoxic potential. The LTBS is a collaborative preclinical research effort in molecular systems toxicology between the National Center for Toxicological Research and BG Medicine, Inc., and is supported by seven pharmaceutical companies and three technology providers. In phase I of the LTBS, entacapone and tolcapone were studied in rats to provide results and information that will form the foundation for the design and implementation of phase II. Molecular analysis of the rat liver and plasma samples combined with statistical analyses of the resulting datasets yielded marker analytes, illustrating the value of the broad-spectrum, molecular systems analysis approach to studying pharmacological or toxicological effects.

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Year:  2009        PMID: 19171931     DOI: 10.1177/0192623308329287

Source DB:  PubMed          Journal:  Toxicol Pathol        ISSN: 0192-6233            Impact factor:   1.902


  12 in total

1.  Science letters: Proteomic analysis of differentially expressed proteins in mice with concanavalin A-induced hepatitis.

Authors:  Xu-fei Tan; Feng Chen; Shan-shan Wu; Yu Shi; Dong-cheng Liu; Zhi Chen
Journal:  J Zhejiang Univ Sci B       Date:  2010-03       Impact factor: 3.066

2.  The Microphysiology Systems Database for Analyzing and Modeling Compound Interactions with Human and Animal Organ Models.

Authors:  Albert Gough; Lawrence Vernetti; Luke Bergenthal; Tong Ying Shun; D Lansing Taylor
Journal:  Appl In Vitro Toxicol       Date:  2016-06-01

3.  Redrawing the map to novel DILI biomarkers in circulation: Where are we, where should we go, and how can we get there?

Authors:  Joel H Vazquez; Mitchell R McGill
Journal:  Livers       Date:  2021-12-01

4.  Sample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification algorithms.

Authors:  Yu Guo; Armin Graber; Robert N McBurney; Raji Balasubramanian
Journal:  BMC Bioinformatics       Date:  2010-09-03       Impact factor: 3.169

Review 5.  The metabolomic window into hepatobiliary disease.

Authors:  Diren Beyoğlu; Jeffrey R Idle
Journal:  J Hepatol       Date:  2013-05-25       Impact factor: 25.083

6.  Bisphenol A alters n-6 fatty acid composition and decreases antioxidant enzyme levels in rat testes: a LC-QTOF-based metabolomics study.

Authors:  Minjian Chen; Bin Xu; Wenliang Ji; Shanlei Qiao; Nan Hu; Yanhui Hu; Wei Wu; Lianglin Qiu; Ruyang Zhang; Yubang Wang; Shoulin Wang; Zuomin Zhou; Yankai Xia; Xinru Wang
Journal:  PLoS One       Date:  2012-09-14       Impact factor: 3.240

7.  Candidate proteins, metabolites and transcripts in the Biomarkers for Spinal Muscular Atrophy (BforSMA) clinical study.

Authors:  Richard S Finkel; Thomas O Crawford; Kathryn J Swoboda; Petra Kaufmann; Peter Juhasz; Xiaohong Li; Yu Guo; Rebecca H Li; Felicia Trachtenberg; Suzanne J Forrest; Dione T Kobayashi; Karen S Chen; Cynthia L Joyce; Thomas Plasterer
Journal:  PLoS One       Date:  2012-04-27       Impact factor: 3.240

Review 8.  Functional toxicogenomics: mechanism-centered toxicology.

Authors:  Matthew North; Chris D Vulpe
Journal:  Int J Mol Sci       Date:  2010-11-24       Impact factor: 5.923

9.  Identification and categorization of liver toxicity markers induced by a related pair of drugs.

Authors:  Ching-Wei Chang; Frederick A Beland; Wade M Hines; James C Fuscoe; Tao Han; James J Chen
Journal:  Int J Mol Sci       Date:  2011-07-15       Impact factor: 5.923

10.  A panel of serum microRNAs as specific biomarkers for diagnosis of compound- and herb-induced liver injury in rats.

Authors:  Yu-Wen Su; Xi Chen; Zhen-Zhou Jiang; Tao Wang; Cheng Wang; Yun Zhang; Jing Wen; Mei Xue; Dan Zhu; Yue Zhang; Yi-Jing Su; Tong-Yue Xing; Chen-Yu Zhang; Lu-Yong Zhang
Journal:  PLoS One       Date:  2012-05-18       Impact factor: 3.240

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