Science & Research

Liver Toxicity Knowledge Base Publications

Publications by Year

2014    |    2013    |    2012    |    2011    |    2010    |    2009


  • Yu, K., Geng, X., Chen, M., Zhang, J., Wang, B., and Tong, W. HighDaily Dose and Being a Substrate of Cytochrome P450 Enzymes are Two Important Predictors of Drug-induced Liver Injury. Drug Metabolism and Disposition, 2014, 42(4):744-750. Abstractdisclaimer icon
  • Chen, M., J. Borlak, and W. Tong, Predicting idiosyncratic drug-induced liver injury-some recent advances. Expert review of gastroenterology & hepatology, 2014. 8(7):721-723. Abstractdisclaimer icon
  • Chen, M., Tung, C., Shi, Q., Guo, L., Shi, L., Fang, H., Borlak, J., and Tong, W. A Testing Strategy to Predict Risk for Drug-induced Liver Injury in humans using High-content Screening Assays and the 'Rule-of-two' Model. Arch Toxicol, 2014, 88(7):1439-1449. Abstractdisclaimer icon
  • Chen, M., Bisgin, H., Tong, L., Hong, H., Fang, H., Borlak, J. and Tong, W. Toward predictive models for drug-induced liver injury in humans: are we there yet? Biomark Med, 2014, 8(2):201-213. Abstractdisclaimer icon
  • Wang, Y., Chen, T. and Tong, W. MicroRNAs and their application in drug-induced liver injury. Biomark Med, 2014, 8(2):161-172. Abstractdisclaimer icon

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  • Bisgin, H., Chen, M., Wang, Y., Kelly, R., Fang, H., Xu, X. and Tong, W. A systems approach for analysis of high content screening assay data with topic modeling. BMC Bioinformatics, 2013;14 Suppl 14:S11. Abstractdisclaimer icon
  • Chen, M., Borlak, J. and Tong, W. High lipophilicity and high daily dose of oral medications are associated with significant risk for drug-induced liver injury. Hepatology, 2013 Jul;58(1):388-396. Abstractdisclaimer icon
  • Chen, M., Hong, H., Fang, H., Zhou, G., Kelly, R., Borlak, J. and Tong, W. Quantitative Structure-Activity Relationship Models for Predicting Drug-Induced Liver Injury Based on FDA-Approved Drug Labeling Annotation and Using a Large Collection of Drugs. Toxicological Sciences, 2013 Nov;136(1):242-249. Abstractdisclaimer icon
  • Chen, M., Kelly, R., Tong, L., Borlak, J. and Tong, W. Phenotypic anchoring of liver injury in rats by gene expression profiling. Microarrays: Principles, Applications and Technologies, Nova Science Publishers, in press.
  • Chen, M., Zhang, J., Wang, Y., Liu, Z., Kelly, R., Zhou, G., Fang, H., Borlak, J. and Tong, W. Liver Toxicity Knowledge Base (LTKB) – A Systems Approach to a Complex Endpoint. Clinical Pharmacology & Therapeutics, 2013 May;93(5):409-412. (pmid: 23486446) Abstractdisclaimer icon
  • Uehara, T., Wang, Y., and Tong, W. Toxicogenomic and Pharmacogenomic Biomarkers for Drug Discovery and Personalized Medicine. Biomarkers in Disease: Methods, Discoveries and Applications. Springer, in press.
  • Wang, Y., Borlak, J., and Tong, W.  Toxicogenomics—A Drug Development Perspective. Genomic Biomarkers for Pharmaceutical Development. Elsevier 2013 Abstractdisclaimer icon
  • Wang, Y., Lin, Z., Liu, Z., Harris, S., Kelly, R., Zhang, J., Ge, W., Chen, M., Borlak, J. and Tong, W. A Unifying Ontology to Integrate Histological and Clinical Observations for Drug-Induced Liver Injury. American Journal of Pathology, 2013 Apr;182(4):1180-1187. Abstractdisclaimer icon

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  • Chen, M., Zhang, M., Borlak, J. and Tong, W. A Decade of Toxicogenomic Research and Its Contribution to Toxicological Science. Toxicological Sciences, 2012 Dec;130(2):217-228. Abstractdisclaimer icon
  • Ding, Y., Chen, M., Liu, Z., Ding, D., Ye, Y., Zhang, M., Kelly, R., Guo, L., Su, Z., Harris, S. C., Qian, F., Ge, W., Fang, H., Xu, X. and Tong, W. atBioNet - an integrated network analysis tool for genomics and biomarker discovery. BMC Genomics 2012 Jul 20;13:325. Abstract
  • Zhang, M., Chen, M. and Tong, W. Is toxicogenomics a more reliable and sensitive biomarker than conventional indicators from rats to predict drug-induced liver injury in humans? Chem Res Toxicol,  2012 Jan 13;25(1):122-129. Abstractdisclaimer icon

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  • Chen, M.J., Vijay, V., Shi, Q., Liu, Z.C., Fang, H., and Tong, W.D. "FDA-Approved Drug Labeling for the Study of Drug-Induced Liver Injury," Drug Discovery Today, 16(15-16):697-703, 2011. Abstractdisclaimer icon
  • Liu, Z., Shi, Q., Ding, D., Kelly, R., Fang, H. and Tong, W. Translating clinical findings into knowledge in drug safety evaluation--drug induced liver injury prediction system (DILIps). PLoS Comput Biol, 2011 Dec;7(12):e1002310. Abstractdisclaimer icon
  • Tong, W. D., Shi, Q., Salminenm, W., Chen, M., Fang, H., Suzuki, A. and Mendrick, D. L. Unravelling Sex Differences in Drug-Induced Liver Injury. General, Applied and Systems Toxicology, John Wiley & Sons, Ltd., 2011

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  • Huang, J., Shi, W., Zhang, J., Chou, J. W., Paules, R. S., Gerrish, K., Li, J., Luo, J., Wolfinger, R. D., Bao, W., Chu, T. M., Nikolsky, Y., Nikolskaya, T., Dosymbekov, D., Tsyganova, M. O., Shi, L., Fan, X., Corton, J. C., Chen, M., Cheng, Y., Tong, W., Fang, H., Bushel, P. R. Genomic indicators in the blood predict drug-induced liver injury. Pharmacogenomics J, 2010 Aug; 10(4): 267-277  Abstractdisclaimer icon
  • Shi, Q., Hong, H., Senior, J., Tong, W. Biomarkers for drug-induced liver injury. Expert Rev Gastroenterol Hepatol. 2010 Apr;4(2):225-34  Abstractdisclaimer icon

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  • McBurney, R. N., Hines, W. M., Von Tungeln, L. S., Schnackenberg, L. K., Beger, R. D., Moland, C. L., Han, T., Fuscoe, J. C., Chang, C. W., Chen, J. J., Su, Z., Fan, X. H., Tong, W., Booth, S. A., Balasubramanian, R., Courchesne, P. L., Campbell, J. M., Graber, A., Guo, Y., Juhasz, P. J., Li, T. Y., Lynch, M. D., Morel, N. M., Plasterer, T. N., Takach, E. J., Zeng, C., Beland, F. A. The liver toxicity biomarker study: phase I design and preliminary results. Toxicol Pathol, 2009; 37(1):52-64. Epub 2009 Jan26  Abstractdisclaimer icon

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Food and Drug Administration

3900 NCTR Road

Jefferson, AR 72079

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