@article{(Open Science Index):https://publications.waset.org/pdf/9481,
	  title     = {Protein Profiling in Alanine Aminotransferase Induced Patient cohort using Acetaminophen},
	  author    = {Gry M and  Bergström J and  Lengquist J and  Lindberg J and  Drobin K and  Schwenk J and  Nilsson P and  Schuppe-Koistinen I.},
	  country	= {},
	  institution	= {},
	  abstract     = {Sensitive and predictive DILI (Drug Induced Liver
Injury) biomarkers are needed in drug R&D to improve early
detection of hepatotoxicity. The discovery of DILI biomarkers that
demonstrate the predictive power to identify individuals at risk to
DILI would represent a major advance in the development of
personalized healthcare approaches. In this healthy volunteer
acetaminophen study (4g/day for 7 days, with 3 monitored nontreatment
days before and 4 after), 450 serum samples from 32
subjects were analyzed using protein profiling by antibody
suspension bead arrays. Multiparallel protein profiles were generated
using a DILI target protein array with 300 antibodies, where the
antibodies were selected based on previous literature findings of
putative DILI biomarkers and a screening process using pre dose
samples from the same cohort. Of the 32 subjects, 16 were found to
develop an elevated ALT value (2Xbaseline, responders). Using the
plasma profiling approach together with multivariate statistical
analysis some novel findings linked to lipid metabolism were found
and more important, endogenous protein profiles in baseline samples
(prior to treatment) with predictive power for ALT elevations were
identified.},
	    journal   = {International Journal of Medical and Health Sciences},
	  volume    = {6},
	  number    = {4},
	  year      = {2012},
	  pages     = {94 - 96},
	  ee        = {https://publications.waset.org/pdf/9481},
	  url   	= {https://publications.waset.org/vol/64},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 64, 2012},
	}