Abstract:
:One application of genomics in drug safety assessment is the identification of biomarkers to predict compound toxicity before it is detected using traditional approaches, such as histopathology. However, many genomic approaches have failed to demonstrate superiority to traditional methods, have not been appropriately validated on external samples, or have been derived using small data sets, thus raising concerns of their general applicability. Using kidney gene expression profiles from male SD rats treated with 64 nephrotoxic or non-nephrotoxic compound treatments, a gene signature consisting of only 35 genes was derived to predict the future development of renal tubular degeneration weeks before it appears histologically following short-term test compound administration. By comparison, histopathology or clinical chemistry fails to predict the future development of tubular degeneration, thus demonstrating the enhanced sensitivity of gene expression relative to traditional approaches. In addition, the performance of the signature was validated on 21 independent compound treatments structurally distinct from the training set. The signature correctly predicted the ability of test compounds to induce tubular degeneration 76% of the time, far better than traditional approaches. This study demonstrates that genomic data can be more sensitive than traditional methods for the early prediction of compound-induced pathology in the kidney.
journal_name
Toxicol Patholjournal_title
Toxicologic pathologyauthors
Fielden MR,Eynon BP,Natsoulis G,Jarnagin K,Banas D,Kolaja KLdoi
10.1080/01926230500321213subject
Has Abstractpub_date
2005-01-01 00:00:00pages
675-83issue
6eissn
0192-6233issn
1533-1601pii
T06867K6170G4R68journal_volume
33pub_type
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