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Serum proteomic profiling in patients with drug‐induced liver injury
dc.contributor.authorBell, L. N.en_US
dc.contributor.authorVuppalanchi, R.en_US
dc.contributor.authorWatkins, Paul B.en_US
dc.contributor.authorBonkovsky, Herbert L.en_US
dc.contributor.authorSerrano, Joseen_US
dc.contributor.authorFontana, Robert Johnen_US
dc.contributor.authorWang, M.en_US
dc.contributor.authorRochon, Jamesen_US
dc.contributor.authorChalasani, Nagaen_US
dc.date.accessioned2012-03-16T16:00:02Z
dc.date.available2013-05-01T17:24:41Zen_US
dc.date.issued2012-03en_US
dc.identifier.citationBell, L. N.; Vuppalanchi, R.; Watkins, P. B.; Bonkovsky, H. L.; Serrano, J.; Fontana, R. J.; Wang, M.; Rochon, J.; Chalasani, N. (2012). "Serum proteomic profiling in patients with drug‐induced liver injury." Alimentary Pharmacology & Therapeutics 35(5): 600-612. <http://hdl.handle.net/2027.42/90324>en_US
dc.identifier.issn0269-2813en_US
dc.identifier.issn1365-2036en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/90324
dc.publisherWiley Periodicals, Inc.en_US
dc.publisherSaunders‐Elsevieren_US
dc.titleSerum proteomic profiling in patients with drug‐induced liver injuryen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelPharmacy and Pharmacologyen_US
dc.subject.hlbsecondlevelOtolaryngologyen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.identifier.pmid22403816en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/90324/1/apt4982.pdf
dc.identifier.doi10.1111/j.1365-2036.2011.04982.xen_US
dc.identifier.sourceAlimentary Pharmacology & Therapeuticsen_US
dc.identifier.citedreferenceCraig A, Sidaway J, Holmes E, et al. Systems toxicology: integrated genomic, proteomic and metabonomic analysis of methapyrilene induced hepatotoxicity in the rat. J Proteome Res 2006; 5: 1586 – 601.en_US
dc.identifier.citedreferenceEng J, McCormack A, Yates RR. An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein database. J Am Soc Mass Spectrom 1994; 5: 976 – 89.en_US
dc.identifier.citedreferenceHiggs RE, Knierman MD, Freeman AB, et al. Estimating the statistical significance of peptide identifications from shotgun proteomics experiments. J Proteome Res 2007; 6: 1758 – 67.en_US
dc.identifier.citedreferenceBolstad BM, Irizarry RA, Astrand M, et al. A comparison of normalization methods for high density oligonucleotide array data based on variance and bias. Bioinformatics 2003; 19: 185 – 93.en_US
dc.identifier.citedreferenceTujios S, Fontana RJ. Mechanisms of drug‐induced liver injury: from bedside to bench. Nat Rev Gastroenterol Hepatol 2011; 8: 202 – 11.en_US
dc.identifier.citedreferenceKienhuis AS, Bessems JG, Pennings JL, et al. Application of toxicogenomics in hepatic systems toxicology for risk assessment: acetaminophen as a case study. Toxicol Appl Pharmacol 2011; 250: 96 – 107.en_US
dc.identifier.citedreferenceEllinger‐Ziegelbauer H, Adler M, Amberg A, et al. The enhanced value of combining conventional and “omics” analyses in early assessment of drug‐induced hepatobiliary injury. Toxicol Appl Pharmacol 2011; 252: 97 – 111.en_US
dc.identifier.citedreferenceLewis JA, Dennis WE, Hadix J, et al. Analysis of secreted proteins as an in vitro model for discovery of liver toxicity markers. J Proteome Res 2010; 9: 5794 – 802.en_US
dc.identifier.citedreferenceShimada T, Nakanishi T, Toyama A, et al. Potential implications for monitoring serum bile acid profiles in circulation with serum proteome for carbon tetrachloride‐induced liver injury/regeneration model in mice. J Proteome Res 2010; 9: 4490 – 500.en_US
dc.identifier.citedreferenceWang Y, Yang B, Wu C, et al. Plasma and liver proteomic analysis of 3Z‐3‐[(1H‐pyrrol‐2‐yl)‐methylidene]‐1‐(1‐piperidinylmethyl)‐1,3‐2H‐indol‐2‐one‐induced hepatotoxicity in Wistar rats. Proteomics 2010; 10: 2927 – 41.en_US
dc.identifier.citedreferenceAndersson U, Lindberg J, Wang S, et al. A systems biology approach to understanding elevated serum alanine transaminase levels in a clinical trial with ximelagatran. Biomarkers 2009; 14: 572 – 86.en_US
dc.identifier.citedreferenceJia N, Liu X, Wen J, et al. A proteomic method for analysis of CYP450s protein expression changes in carbon tetrachloride induced male rat liver microsomes. Toxicology 2007; 237: 1 – 11.en_US
dc.identifier.citedreferenceMerrick BA, Bruno ME, Madenspacher JH, et al. Alterations in the rat serum proteome during liver injury from acetaminophen exposure. J Pharmacol Exp Ther 2006; 318: 792 – 802.en_US
dc.identifier.citedreferenceRodriguez‐Ariza A, Lopez‐Sanchez LM, Gonzalez R, et al. Altered protein expression and protein nitration pattern during d‐galactosamine‐induced cell death in human hepatocytes: a proteomic analysis. Liver Int 2005; 25: 1259 – 69.en_US
dc.identifier.citedreferenceAmacher DE, Adler R, Herath A, et al. Use of proteomic methods to identify serum biomarkers associated with rat liver toxicity or hypertrophy. Clin Chem 2005; 51: 1796 – 803.en_US
dc.identifier.citedreferenceWelch KD, Wen B, Goodlett DR, et al. Proteomic identification of potential susceptibility factors in drug‐induced liver disease. Chem Res Toxicol 2005; 18: 924 – 33.en_US
dc.identifier.citedreferenceKleno TG, Kiehr B, Baunsgaard D, et al. Combination of ‘omics’ data to investigate the mechanism(s) of hydrazine‐induced hepatotoxicity in rats and to identify potential biomarkers. Biomarkers 2004; 9: 116 – 38.en_US
dc.identifier.citedreferenceO'Connell TM, Watkins PB. The application of metabonomics to predict drug‐induced liver injury. Clin Pharmacol Ther 2010; 88: 394 – 9.en_US
dc.identifier.citedreferenceCui Y, Paules RS. Use of transcriptomics in understanding mechanisms of drug‐induced toxicity. Pharmacogenomics 2010; 11: 573 – 85.en_US
dc.identifier.citedreferenceScott CR. The genetic tyrosinemias. Am J Med Genet C Semin Med Genet 2006; 142C: 121 – 6.en_US
dc.identifier.citedreferenceManiratanachote R, Shibata A, Kaneko S, et al. Detection of autoantibody to aldolase B in sera from patients with troglitazone‐induced liver dysfunction. Toxicology 2005; 216: 15 – 23.en_US
dc.identifier.citedreferenceLaverty HG, Antoine DJ, Benson C, et al. The potential of cytokines as safety biomarkers for drug‐induced liver injury. Eur J Clin Pharmacol 2010; 66: 961 – 76.en_US
dc.identifier.citedreferenceFerre N, Martinez‐Clemente M, Lopez‐Parra M, et al. Increased susceptibility to exacerbated liver injury in hypercholesterolemic ApoE‐deficient mice: potential involvement of oxysterols. Am J Physiol Gastrointest Liver Physiol 2009; 296: G553 – 62.en_US
dc.identifier.citedreferenceNavarro VJ, Senior JR. Drug‐related hepatotoxicity. N Engl J Med 2006; 354: 731 – 9.en_US
dc.identifier.citedreferenceWatkins PB, Seeff LB. Drug‐induced liver injury: summary of a single topic clinical research conference. Hepatology 2006; 43: 618 – 31.en_US
dc.identifier.citedreferenceAbboud G, Kaplowitz N. Drug‐induced liver injury. Drug Saf 2007; 30: 277 – 94.en_US
dc.identifier.citedreferenceBonkovsky HL, Shedlofsky SI, Jones DP, et al. Drug‐induced liver injury. In: Boyer TD, Manns MP, Sanyal A, eds. Zakim and Boyer's Hepatology – A Textbook of Liver Disease, 6th ed. Philadelphia: Saunders‐Elsevier, 2011.en_US
dc.identifier.citedreferenceOstapowicz G, Fontana RJ, Schiodt FV, et al. Results of a prospective study of acute liver failure at 17 tertiary care centers in the United States. Ann Intern Med 2002; 137: 947 – 54.en_US
dc.identifier.citedreferenceReuben A, Koch DG, Lee WM. Drug‐induced acute liver failure: results of a U.S. multicenter, prospective study. Hepatology 2010; 52: 2065 – 76.en_US
dc.identifier.citedreferenceBjornsson E. Drug‐induced liver injury in clinical practice. Aliment Pharmacol Ther 2010; 32: 3 – 13.en_US
dc.identifier.citedreferenceChalasani N, Bjornsson E. Risk factors for idiosyncratic drug‐induced liver injury. Gastroenterology 2010; 138: 2246 – 59.en_US
dc.identifier.citedreferenceAu JS, Navarro VJ, Rossi S. Drug‐induced liver injury – its pathophysiology and evolving diagnostic tools. Aliment Pharmacol Ther 2011; 34: 11 – 20.en_US
dc.identifier.citedreferenceFontana RJ, Watkins PB, Bonkovsky HL, et al. Drug‐Induced Liver Injury Network (DILIN) prospective study: rationale, design and conduct. Drug Saf 2009; 32: 55 – 68.en_US
dc.identifier.citedreferenceRockey DC, Seeff LB, Rochon J, et al. Causality assessment in drug‐induced liver injury using a structured expert opinion process: comparison to the Roussel‐Uclaf causality assessment method. Hepatology 2010; 51: 2117 – 26.en_US
dc.identifier.citedreferenceChalasani N, Fontana RJ, Bonkovsky HL, et al. Causes, clinical features, and outcomes from a prospective study of drug‐induced liver injury in the United States. Gastroenterology 2008; 135: 1924 – 34.en_US
dc.identifier.citedreferenceVuppalanchi R, Hayashi PH, Chalasani N, et al. Duloxetine hepatotoxicity: a case‐series from the drug‐induced liver injury network. Aliment Pharmacol Ther 2010; 32: 1174 – 83.en_US
dc.identifier.citedreferenceOrman ES, Conjeevaram HS, Vuppalanchi R, et al. Clinical and histopathologic features of fluoroquinolone‐induced liver injury. Clin Gastroenterol Hepatol 2011; 9: 517 – 23.en_US
dc.identifier.citedreferenceWang M, You J, Bemis KG, et al. Label‐free mass spectrometry‐based protein quantification technologies in proteomic analysis. Brief Funct Genomic Proteomic 2008; 7: 329 – 39.en_US
dc.identifier.citedreferenceBell LN, Theodorakis JL, Vuppalanchi R, et al. Serum proteomics and biomarker discovery across the spectrum of nonalcoholic fatty liver disease. Hepatology 2010; 51: 111 – 20.en_US
dc.identifier.citedreferenceBradford MM. A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein‐dye binding. Anal Biochem 1976; 72: 248 – 54.en_US
dc.identifier.citedreferenceHale JE, Butler JP, Gelfanova V, et al. A simplified procedure for the reduction and alkylation of cysteine residues in proteins prior to proteolytic digestion and mass spectral analysis. Anal Biochem 2004; 333: 174 – 81.en_US
dc.identifier.citedreferenceHiggs RE, Knierman MD, Gelfanova V, et al. Comprehensive label‐free method for the relative quantification of proteins from biological samples. J Proteome Res 2005; 4: 1442 – 50.en_US
dc.identifier.citedreferenceCraig R, Beavis RC. TANDEM: matching proteins with tandem mass spectra. Bioinformatics 2004; 20: 1466 – 7.en_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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