Literature DB >> 19420014

Population-based discovery of toxicogenomics biomarkers for hepatotoxicity using a laboratory strain diversity panel.

Alison H Harrill1, Pamela K Ross, Daniel M Gatti, David W Threadgill, Ivan Rusyn.   

Abstract

Toxicogenomic studies are increasingly used to uncover potential biomarkers of adverse health events, enrich chemical risk assessment, and to facilitate proper identification and treatment of persons susceptible to toxicity. Current approaches to biomarker discovery through gene expression profiling usually utilize a single or few strains of rodents, limiting the ability to detect biomarkers that may represent the wide range of toxicity responses typically observed in genetically heterogeneous human populations. To enhance the utility of animal models to detect response biomarkers for genetically diverse populations, we used a laboratory mouse strain diversity panel. Specifically, mice from 36 inbred strains derived from Mus mus musculus, Mus mus castaneous, and Mus mus domesticus origins were treated with a model hepatotoxic agent, acetaminophen (300 mg/kg, ig). Gene expression profiling was performed on liver tissue collected at 24 h after dosing. We identified 26 population-wide biomarkers of response to acetaminophen hepatotoxicity in which the changes in gene expression were significant across treatment and liver necrosis score but not significant for individual mouse strains. Importantly, most of these biomarker genes are part of the intracellular signaling involved in hepatocyte death and include genes previously associated with acetaminophen-induced hepatotoxicity, such as cyclin-dependent kinase inhibitor 1A (p21) and interleukin 6 signal transducer (Il6st), and genes not previously associated with acetaminophen, such as oncostatin M receptor (Osmr) and MLX interacting protein like (Mlxipl). Our data demonstrate that a multistrain approach may provide utility for understanding genotype-independent toxicity responses and facilitate identification of novel targets of therapeutic intervention.

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Year:  2009        PMID: 19420014      PMCID: PMC2696330          DOI: 10.1093/toxsci/kfp096

Source DB:  PubMed          Journal:  Toxicol Sci        ISSN: 1096-0929            Impact factor:   4.849


  38 in total

1.  Standardizing global gene expression analysis between laboratories and across platforms.

Authors:  Theodore Bammler; Richard P Beyer; Sanchita Bhattacharya; Gary A Boorman; Abee Boyles; Blair U Bradford; Roger E Bumgarner; Pierre R Bushel; Kabir Chaturvedi; Dongseok Choi; Michael L Cunningham; Shibing Deng; Holly K Dressman; Rickie D Fannin; Fredrico M Farin; Jonathan H Freedman; Rebecca C Fry; Angel Harper; Michael C Humble; Patrick Hurban; Terrance J Kavanagh; William K Kaufmann; Kathleen F Kerr; Li Jing; Jodi A Lapidus; Michael R Lasarev; Jianying Li; Yi-Ju Li; Edward K Lobenhofer; Xinfang Lu; Renae L Malek; Sean Milton; Srinivasa R Nagalla; Jean P O'malley; Valerie S Palmer; Patrick Pattee; Richard S Paules; Charles M Perou; Ken Phillips; Li-Xuan Qin; Yang Qiu; Sean D Quigley; Matthew Rodland; Ivan Rusyn; Leona D Samson; David A Schwartz; Yan Shi; Jung-Lim Shin; Stella O Sieber; Susan Slifer; Marcy C Speer; Peter S Spencer; Dean I Sproles; James A Swenberg; William A Suk; Robert C Sullivan; Ru Tian; Raymond W Tennant; Signe A Todd; Charles J Tucker; Bennett Van Houten; Brenda K Weis; Shirley Xuan; Helmut Zarbl
Journal:  Nat Methods       Date:  2005-04-21       Impact factor: 28.547

Review 2.  Pharmacogenetics: using DNA to optimize drug therapy.

Authors:  David E Lanfear; Howard L McLeod
Journal:  Am Fam Physician       Date:  2007-10-15       Impact factor: 3.292

3.  Future of toxicogenomics and safety signatures: balancing public access to data with proprietary drug discovery.

Authors:  Jennifer M Fostel
Journal:  Pharmacogenomics       Date:  2007-05       Impact factor: 2.533

Review 4.  Intracellular signaling mechanisms of acetaminophen-induced liver cell death.

Authors:  Hartmut Jaeschke; Mary Lynn Bajt
Journal:  Toxicol Sci       Date:  2005-09-21       Impact factor: 4.849

Review 5.  Idiosyncratic drug hepatotoxicity.

Authors:  Neil Kaplowitz
Journal:  Nat Rev Drug Discov       Date:  2005-06       Impact factor: 84.694

6.  Optimal sampling of rat liver tissue for toxicogenomic studies.

Authors:  Julie F Foley; Jennifer B Collins; David M Umbach; Sherry Grissom; Gary A Boorman; Alexandra N Heinloth
Journal:  Toxicol Pathol       Date:  2006       Impact factor: 1.902

7.  Multicenter study of acetaminophen hepatotoxicity reveals the importance of biological endpoints in genomic analyses.

Authors:  Richard P Beyer; Rebecca C Fry; Michael R Lasarev; Lisa A McConnachie; Lisiane B Meira; Valerie S Palmer; Christine L Powell; Pamela K Ross; Theo K Bammler; Blair U Bradford; Alex B Cranson; Michael L Cunningham; Rickie D Fannin; Gregory M Higgins; Patrick Hurban; Robert J Kayton; Kathleen F Kerr; Oksana Kosyk; Edward K Lobenhofer; Stella O Sieber; Portia A Vliet; Brenda K Weis; Russel Wolfinger; Courtney G Woods; Jonathan H Freedman; Elwood Linney; William K Kaufmann; Terrance J Kavanagh; Richard S Paules; Ivan Rusyn; Leona D Samson; Peter S Spencer; William Suk; Raymond J Tennant; Helmut Zarbl
Journal:  Toxicol Sci       Date:  2007-06-11       Impact factor: 4.849

8.  Genome-level analysis of genetic regulation of liver gene expression networks.

Authors:  Daniel Gatti; Akira Maki; Elissa J Chesler; Roumyana Kirova; Oksana Kosyk; Lu Lu; Kenneth F Manly; Robert W Williams; Andy Perkins; Michael A Langston; David W Threadgill; Ivan Rusyn
Journal:  Hepatology       Date:  2007-08       Impact factor: 17.425

9.  The polymorphism architecture of mouse genetic resources elucidated using genome-wide resequencing data: implications for QTL discovery and systems genetics.

Authors:  Adam Roberts; Fernando Pardo-Manuel de Villena; Wei Wang; Leonard McMillan; David W Threadgill
Journal:  Mamm Genome       Date:  2007-08-03       Impact factor: 2.957

10.  Sequence polymorphisms cause many false cis eQTLs.

Authors:  Rudi Alberts; Peter Terpstra; Yang Li; Rainer Breitling; Jan-Peter Nap; Ritsert C Jansen
Journal:  PLoS One       Date:  2007-07-18       Impact factor: 3.240

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  39 in total

1.  Evaluation of an in vitro toxicogenetic mouse model for hepatotoxicity.

Authors:  Stephanie M Martinez; Blair U Bradford; Valerie Y Soldatow; Oksana Kosyk; Amelia Sandot; Rafal Witek; Robert Kaiser; Todd Stewart; Kirsten Amaral; Kimberly Freeman; Chris Black; Edward L LeCluyse; Stephen S Ferguson; Ivan Rusyn
Journal:  Toxicol Appl Pharmacol       Date:  2010-09-24       Impact factor: 4.219

Review 2.  Use of transcriptomics in understanding mechanisms of drug-induced toxicity.

Authors:  Yuxia Cui; Richard S Paules
Journal:  Pharmacogenomics       Date:  2010-04       Impact factor: 2.533

3.  Interstrain differences in the severity of liver injury induced by a choline- and folate-deficient diet in mice are associated with dysregulation of genes involved in lipid metabolism.

Authors:  Volodymyr Tryndyak; Aline de Conti; Tetyana Kobets; Kristy Kutanzi; Igor Koturbash; Tao Han; James C Fuscoe; John R Latendresse; Stepan Melnyk; Svitlana Shymonyak; Leonard Collins; Sharon A Ross; Ivan Rusyn; Frederick A Beland; Igor P Pogribny
Journal:  FASEB J       Date:  2012-08-07       Impact factor: 5.191

4.  Differential susceptibility to acetaminophen-induced liver injury in sub-strains of C57BL/6 mice: 6N versus 6J.

Authors:  Luqi Duan; John S Davis; Benjamin L Woolbright; Kuo Du; Mala Cahkraborty; James Weemhoff; Hartmut Jaeschke; Mohammed Bourdi
Journal:  Food Chem Toxicol       Date:  2016-10-20       Impact factor: 6.023

5.  Tissue- and strain-specific effects of a genotoxic carcinogen 1,3-butadiene on chromatin and transcription.

Authors:  Jennifer W Israel; Grace A Chappell; Jeremy M Simon; Sebastian Pott; Alexias Safi; Lauren Lewis; Paul Cotney; Hala S Boulos; Wanda Bodnar; Jason D Lieb; Gregory E Crawford; Terrence S Furey; Ivan Rusyn
Journal:  Mamm Genome       Date:  2018-02-10       Impact factor: 2.957

6.  MicroRNA expression in the livers of inbred mice.

Authors:  Daniel M Gatti; Lu Lu; Robert W Williams; Wei Sun; Fred A Wright; David W Threadgill; Ivan Rusyn
Journal:  Mutat Res       Date:  2011-05-14       Impact factor: 2.433

7.  Acetaminophen Test Battery (ATB): A Comprehensive Method to Study Acetaminophen-Induced Acute Liver Injury.

Authors:  Bharat Bhushan; Udayan Apte
Journal:  Gene Expr       Date:  2020-05-22

8.  Acetaminophen Hepatotoxicity.

Authors:  Anup Ramachandran; Hartmut Jaeschke
Journal:  Semin Liver Dis       Date:  2019-03-08       Impact factor: 6.115

9.  Acetaminophen-induced acute liver injury in HCV transgenic mice.

Authors:  Takeki Uehara; Oksana Kosyk; Emmanuelle Jeannot; Blair U Bradford; Katherine Tech; Jeffrey M Macdonald; Gary A Boorman; Saurabh Chatterjee; Ronald P Mason; Stepan B Melnyk; Volodymyr P Tryndyak; Igor P Pogribny; Ivan Rusyn
Journal:  Toxicol Appl Pharmacol       Date:  2012-11-29       Impact factor: 4.219

Review 10.  Models of drug-induced liver injury for evaluation of phytotherapeutics and other natural products.

Authors:  Hartmut Jaeschke; C David Williams; Mitchell R McGill; Yuchao Xie; Anup Ramachandran
Journal:  Food Chem Toxicol       Date:  2013-01-22       Impact factor: 6.023

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