[Role of biomarkers in toxicity treatment "metabonomics" as a new biomarker discovery method].

For the treatment of clinical toxicity, investigations to determine the offending substance and rapid treatment are required. Particularly in the case of drug development, the side-effect biomarkers anticipated in a clinical study are based on various toxicological information gleaned from non-clinical studies. In fact, drug development may be discontinued if no biomarkers can be detected using conventional clinical laboratory methodology; therefore, new approaches for finding biomarkers are needed. The use of molecular toxicological methods using omics technology is expected to be an effective future approach. Metabonomics is the omics approach that inspects the movement of endogenous metabolites comprehensively and searches for a toxicological mechanism or biomarker. It is expected to become a useful biomarker discovery tool; in fact, reports about new biomarker discoveries made using metabonomics have already been published; however, the rate of metabolite identification and metabolism map development are not yet sufficient. Therefore, the development of a database containing this type of information as well as clinical information is necessary to be able to apply this technology to toxicological biomarker discovery. Further, studies for translation from the non-clinical to the clinical setting are very important for discovering useful metabonomic side-effect biomarkers. Therefore, building new collaborative relationships between pharmaceutical companies, doctors, medical technologists, and diagnostic agent companies is considered to be important.

The evolutionarily conserved G protein-coupled receptor SREB2/GPR85 influences brain size, behavior, and vulnerability to schizophrenia.

The G protein-coupled receptor (GPCR) family is highly diversified and involved in many forms of information processing. SREB2 (GPR85) is the most conserved GPCR throughout vertebrate evolution and is expressed abundantly in brain structures exhibiting high levels of plasticity, e.g., the hippocampal dentate gyrus. Here, we show that SREB2 is involved in determining brain size, modulating diverse behaviors, and potentially in vulnerability to schizophrenia. Mild overexpression of SREB2 caused significant brain weight reduction and ventricular enlargement in transgenic (Tg) mice as well as behavioral abnormalities mirroring psychiatric disorders, e.g., decreased social interaction, abnormal sensorimotor gating, and impaired memory. SREB2 KO mice showed a reciprocal phenotype, a significant increase in brain weight accompanying a trend toward enhanced memory without apparent other behavioral abnormalities. In both Tg and KO mice, no gross malformation of brain structures was observed. Because of phenotypic overlap between SREB2 Tg mice and schizophrenia, we sought a possible link between the two. Minor alleles of two SREB2 SNPs, located in intron 2 and in the 3' UTR, were overtransmitted to schizophrenia patients in a family-based sample and showed an allele load association with reduced hippocampal gray matter volume in patients. Our data implicate SREB2 as a potential risk factor for psychiatric disorders and its pathway as a target for psychiatric therapy.

Differences in gene expression profile among SH-SY5Y neuroblastoma subclones with different neurite outgrowth responses to nerve growth factor.

Nerve growth factor (NGF) plays a key role in the differentiation of neurons. In this study, we established three NGF-induced neurite-positive (NIN+) subclones that showed high responsiveness to NGF-induced neurite outgrowth and three NGF-induced neurite-negative (NIN-) subclones that abolished NGF-induced neurite outgrowth from parental SH-SY5Y cells, and analyzed differences in the NGF signaling cascade. The NIN+ subclones showed enhanced responsiveness to FK506-mediated neurite outgrowth as well. To clarify the mechanism behind the high frequency of NGF-induced neurite outgrowth, we investigated differences in NGF signaling cascade among subclones. Expression levels of the NGF receptor TrkA, and NGF-induced increases in mRNAs for the immediate-early genes (IEGs) c-fos and NGF inducible (NGFI) genes NGFI-A, NGFI-B and NGFI-C, were identical among subclones. Microarray analysis revealed that the NIN+ cell line showed a very different gene expression profile to the NIN- cell line, particularly in terms of axonal vesicle-related genes and growth cone guidance-related genes. Thus, the difference in NGF signaling cascade between the NIN+ and NIN- cell lines was demonstrated by the difference in gene expression profile. These differentially expressed genes might play a key role in neurite outgrowth of SH-SY5Y cells in a region downstream from the site of induction of IEGs, or in a novel NGF signaling cascade.