Literature DB >> 16099942

Use of proteomic methods to identify serum biomarkers associated with rat liver toxicity or hypertrophy.

David E Amacher1, Rick Adler, Athula Herath, R Reid Townsend.   

Abstract

BACKGROUND: Our objectives were to identify serum marker proteins in rats that might serve as sensitive indicators of hepatomegaly, hepatocellular necrosis, or hepatobiliary injury and to use them to analyze data from a collaborative proteomics project.
METHODS: In each of 4 studies comprising the collaborative project, rats were given 1 of 4 compounds that target the liver through different mechanisms. Sera and liver samples were collected by terminal bleeds at 1 of 3 postdose time points. Sera were depleted of major secretory proteins and then separated into protein features by 2-dimensional gel electrophoresis (2DGE). Liver specimens were also processed and subjected to 2DGE. Protein spots that significantly increased or decreased in quantity after drug treatment were recovered, digested, analyzed by mass spectroscopy, and compared with available databases for identification. Criteria for further consideration were (a) temporal expression (i.e., increase or decrease at early, fulminant, or recovery periods), (b) known biological function, (c) probable hepatic origin, and (d) any previous association with toxicity in published studies. Markers that changed significantly at the early time point were important because of their potential sensitivity for signaling minimal damage.
RESULTS: Vitamin D-binding protein, paraoxonase, cellular retinol-binding protein, malate dehydrogenase, F-protein, and purine nucleoside phosphorylase were identified as empirically confirmed serum markers for hepatic effects in drug-treated rats.
CONCLUSION: Proteomics can be applied for the identification and confirmation of peripheral biomarkers for altered liver function after toxicant exposure.

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Year:  2005        PMID: 16099942     DOI: 10.1373/clinchem.2005.049908

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  27 in total

1.  Serum proteomic profiling in patients with drug-induced liver injury.

Authors:  L N Bell; R Vuppalanchi; P B Watkins; H L Bonkovsky; J Serrano; R J Fontana; M Wang; J Rochon; N Chalasani
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Review 2.  The evolution of bioinformatics in toxicology: advancing toxicogenomics.

Authors:  Cynthia A Afshari; Hisham K Hamadeh; Pierre R Bushel
Journal:  Toxicol Sci       Date:  2010-12-22       Impact factor: 4.849

3.  Genomic indicators in the blood predict drug-induced liver injury.

Authors:  J Huang; W Shi; J Zhang; J W Chou; R S Paules; K Gerrish; J Li; J Luo; R D Wolfinger; W Bao; T-M Chu; Y Nikolsky; T Nikolskaya; D Dosymbekov; M O Tsyganova; L Shi; X Fan; J C Corton; M Chen; Y Cheng; W Tong; H Fang; P R Bushel
Journal:  Pharmacogenomics J       Date:  2010-08       Impact factor: 3.550

4.  Serum miR-181b Is Correlated with Hepatitis B Virus Replication and Disease Progression in Chronic Hepatitis B Patients.

Authors:  Fujun Yu; Guangyao Zhou; Guojun Li; Bicheng Chen; Peihong Dong; Jianjian Zheng
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5.  Alterations in the rat serum proteome during liver injury from acetaminophen exposure.

Authors:  B Alex Merrick; Maribel E Bruno; Jennifer H Madenspacher; Barbara A Wetmore; Julie Foley; Rembert Pieper; Ming Zhao; Anthony J Makusky; Andrew M McGrath; Jeff X Zhou; John Taylor; Kenneth B Tomer
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6.  Emodin induces liver injury by inhibiting the key enzymes of FADH/NADPH transport in rat liver.

Authors:  Xiaowei Yang; Yinhuan Zhang; Yan Liu; Chang Chen; Wenjuan Xu; Hongbin Xiao
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7.  Glycocapture-assisted global quantitative proteomics (gagQP) reveals multiorgan responses in serum toxicoproteome.

Authors:  Bingyun Sun; Angelita G Utleg; Zhiyuan Hu; Shizhen Qin; Andrew Keller; Cynthia Lorang; Li Gray; Amy Brightman; Denis Lee; Vinita M Alexander; Jeffrey A Ranish; Robert L Moritz; Leroy Hood
Journal:  J Proteome Res       Date:  2013-04-11       Impact factor: 4.466

8.  Deciphering diseases and biological targets for environmental chemicals using toxicogenomics networks.

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Journal:  PLoS Comput Biol       Date:  2010-05-20       Impact factor: 4.475

Review 9.  Development of blood biomarkers for drug-induced liver injury: an evaluation of their potential for risk assessment and diagnostics.

Authors:  David E Amacher; Shelli J Schomaker; Jiri Aubrecht
Journal:  Mol Diagn Ther       Date:  2013-12       Impact factor: 4.074

10.  Global liver proteomics of rats exposed for 5 days to phenobarbital identifies changes associated with cancer and with CYP metabolism.

Authors:  Mary B Dail; L Allen Shack; Janice E Chambers; Shane C Burgess
Journal:  Toxicol Sci       Date:  2008-09-16       Impact factor: 4.849

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