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2019/10/15
C3orf70 Is Involved in Neural and Neurobehavioral Development

2019/09/22
Generation of a Triple-Transgenic Zebrafish Line for Assessment of Developmental Neurotoxicity during Neuronal Differentiation

2019/07/17
Aging-associated microstructural deterioration of vertebra in zebrafish

2019/03/18
Zebrafish yolk sac microinjection of thalidomide for assessment of developmental toxicology

2019/02/18
Toxicological Evaluation of SiO2 Nanoparticles by Zebrafish Embryo Toxicity Test

tPharmacogenomics of cardiovascular pharmacology: pharmacogenomic network of cardiovascular disease models.

                     
2008/05/01

Tanaka T, Oka T, Shimada Y, Umemoto N, Kuroyanagi J, Sakamoto C, Zang L, Wang Z, Nishimura Y
J Pharmacol Sci. 2008 May;107(1):8-14.


Abstract

The most important strategies in pharmacogenomics are gene expression profiling and the network analysis of human disease models. We have previously discovered novel drug target candidates in cardiovascular diseases through investigations of these pharmacogenomics. The significant induction of S100C mRNA and protein expression was detected in the rat pulmonary hypertension and myocardial infarction model. We also found increased taurine in hypoxia, a calcium-associated cytoprotective compound, to suppress the hypoxia-induced S100C gene expression and vascular remodeling. These results suggest that S100C may be one of the potential novel drug targets in hypoxic or ischemic diseases. Delayed cerebral vasospasm after aneurysmal subarachnoid hemorrhage causes cerebral ischemia and infarction. Using a DNA microarray, a prominant upregulation of heme oxygenase-1 (HO-1) and heat shock protein (HSP) 72 mRNAs were observed in the basilar artery of a murine vasospasm model. Antisense HO-1 and HSP 72 oligodeoxynucleotide inhibited HO-1 and HSP 72 induction, respectively, and significantly aggravated cerebral vasospasm. Moreover, we have also developed a unique heart failure model in zebrafish and identified several candidate genes as novel drug targets. These results suggest that pharmacogenomic network analysis has the potential to bridge the gap between in vitro and in vivo studies and could define strategies for identifying novel drug targets in various cardiovascular diseases.


PMID: 18490853 [PubMed - indexed for MEDLINE] Free full text

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