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  1. Liver Toxicity Knowledge Base (LTKB)

Liver Toxicity Knowledge Base Publications

LTKB 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. Abstract
  • 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. Abstract
  • 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. Abstract
  • 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. Abstract
  • Wang, Y., Chen, T. and Tong, W. MicroRNAs and their application in drug-induced liver injury. Biomark Med, 2014, 8(2):161-172. Abstract

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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. Abstract
  • 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. Abstract
  • 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. Abstract
  • 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) Abstract
  • 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 Abstract
  • 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. Abstract

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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. Abstract
  • 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. Abstract

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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. Abstract
  • 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. Abstract
  • 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  Abstract
  • Shi, Q., Hong, H., Senior, J., Tong, W. Biomarkers for drug-induced liver injury. Expert Rev Gastroenterol Hepatol. 2010 Apr;4(2):225-34  Abstract

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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  Abstract

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