Imperial College London
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ProfessorHectorKeun

Faculty of Medicine, Department of Surgery & Cancer

Professor of Biochemistry
 
 
 
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Contact

 

+44 (0)20 7594 3161h.keun

 
 
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Location

 

officesInstitute of Reproductive and Developmental BiologyHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Kuepfer:2017:10.1007/s00204-017-2041-7,
author = {Kuepfer, L and Clayton, O and Thiel, C and Cordes, H and Nudischer, R and Blank, LM and Baier, V and Heymans, S and Caiment, F and Roth, A and Fluri, DA and Kelm, JM and Castell, J and Selevsek, N and Schlapbach, R and Keun, H and Hynes, J and Sarkans, U and Gmuender, H and Herwig, R and Niederer, S and Schuchhardt, J and Segall, M and Kleinjans, J},
doi = {10.1007/s00204-017-2041-7},
journal = {Archives of Toxicology},
pages = {553--555},
title = {A model-based assay design to reproduce in vivo patterns of acute drug-induced toxicity.},
url = {http://dx.doi.org/10.1007/s00204-017-2041-7},
volume = {92},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - For more than a decade pharmaceutical R&D has been hampered by considerable attrition rates during clinical trials. The main reasons for drug failure is related to the lack of efficacy, limitations with respect to ADME (absorption, distribution, metabolism and excretion) properties, and—in approximately 30% of the cases—unforeseen toxicity (Kola and Landis 2004). The majority of adverse drug reactions observed in the clinical phase refer to organ injuries, e.g. of the cardiovascular system, the liver, the central nervous system and skeletal muscle (Cook et al. 2014). This clearly demonstrates the limited predictive accuracy of current preclinical models such as the rodent bioassay in evaluating repeated dose toxicity for predicting human toxic risks. It has been argued that overall, only 43% of toxic effects in humans may be correctly predicted by applying rodent-based safety evaluation protocols due to the fact that these assays tend to generate relatively large numbers of false negative as well as false positive read outs (Hartung 2009).
AU  - Kuepfer,L
AU  - Clayton,O
AU  - Thiel,C
AU  - Cordes,H
AU  - Nudischer,R
AU  - Blank,LM
AU  - Baier,V
AU  - Heymans,S
AU  - Caiment,F
AU  - Roth,A
AU  - Fluri,DA
AU  - Kelm,JM
AU  - Castell,J
AU  - Selevsek,N
AU  - Schlapbach,R
AU  - Keun,H
AU  - Hynes,J
AU  - Sarkans,U
AU  - Gmuender,H
AU  - Herwig,R
AU  - Niederer,S
AU  - Schuchhardt,J
AU  - Segall,M
AU  - Kleinjans,J
DO  - 10.1007/s00204-017-2041-7
EP  - 555
PY  - 2017///
SN  - 0340-5761
SP  - 553
TI  - A model-based assay design to reproduce in vivo patterns of acute drug-induced toxicity.
T2  - Archives of Toxicology
UR  - http://dx.doi.org/10.1007/s00204-017-2041-7
UR  - http://hdl.handle.net/10044/1/53952
VL  - 92
ER  -
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