Biomedical subjects

Akira Yokoi

Publications and source records attributed to Akira Yokoi.

4 recordsLinked to original sources

PubMed2006

Chronic intracerebroventricular administration of relaxin-3 increases body weight in rats.

Bolus-administered intracerebroventricular (ICV) relaxin-3 has been reported to increase feeding. In this study, to examine the role of relaxin-3 signaling in energy homeostasis, we studied the effects of chronically administered ICV relaxin-3 on body weight gain and locomotor activity in rats. Two groups of animals received vehicle or relaxin-3 at 600 pmol/head/day, delivered with Alzet osmotic minipumps. In animals receiving relaxin-3, food consumption and weight gain were statistically significantly higher than those in the vehicle group during the 14-day infusion. During the light phase on days 2 and 7 and the dark phase on days 3 and 8, there was no difference in locomotor activity between the two groups. Plasma concentrations of leptin and insulin in rats chronically injected with relaxin-3 were significantly higher than in the vehicle-injected controls. These results indicate that relaxin-3 up-regulates food intake, leading to an increase of body weight and that relaxin-3 antagonists might be candidate antiobesity agents.

Animals↗

PubMed2003

Quantitative chemical proteomics for identifying candidate drug targets.

We have developed a systematic strategy for drug target identification. This consists of the following sequential steps: (1) enrichment of total binding proteins using two differential affinity matrixes upon which are immobilized positive and negative chemical structures for drug activity, respectively; (2) covalent labeling of the proteins with a new cleavable isotope-coded affinity tag (ICAT) reagent, followed by proteolysis of the combined proteins; (3) isolation, identification, and relative quantification of the tagged peptides by liquid chromatography-mass spectrometry; (4) array-based transcription profiling to select candidate proteins; and (5) confirmation of direct interaction between the activity-associated structure and the selected proteins by using surface plasmon resonance. We present a typical application to identify the primary binding protein of a novel class of anticancer agents exemplified by E7070. Our results suggest that this approach provides a new aspect of quantitative proteomics to find specific binding proteins from protein mixture and should be applicable to a wide variety of biologically active small molecules with unidentified target proteins.

Antineoplastic Agents↗

PubMed2002

Array-based structure and gene expression relationship study of antitumor sulfonamides including N-[2-[(4-hydroxyphenyl)amino]-3-pyridinyl]-4-methoxybenzenesulfonamide and N-(3-chloro-7-indolyl)-1,4-benzenedisulfonamide.

Compounds from sulfonamide-focused libraries have been evaluated in cell-based antitumor screens using the COMPARE analysis with a panel of 39 human cancer cell lines and flow cytometric cell cycle analysis. Thus far, 2 (N-[2-[(4-hydroxyphenyl)amino]-3-pyridinyl]-4-methoxybenzenesulfonamide (E7010)) and 3 (N-(3-chloro-7-indolyl)-1,4-benzenedisulfonamide (E7070)) have been selected from the collections as potent cell cycle inhibitors, which have progressed to clinical trials. Compound 2 is an orally active antimitotic agent disrupting tubulin polymerization, whereas compound 3 belongs to a novel class of antiproliferative agents causing a decrease in the S phase fraction along with G1 and/or G2 accumulation in various cancer cell lines. Because both compounds exhibited preliminary clinical activities in the phase I setting, we decided to examine further this series of oncolytic small molecules, particularly by using high-density oligonucleotide microarray analysis. The array data have enabled us to characterize these two classes of antitumor sulfonamides on the basis of gene expression changes, illuminating the essential pharmacophore structure and drug-sensitive cellular pathways for each class. Moreover, the dual character of 5 (N-(3-chloro-7-indolyl)-4-methoxybenzenesulfonamide (ER-67880)), resembling both 2 and 3, was revealed by array-based transcription profiling, though the 3-type profile of this molecule had not been apparent in the cell-based phenotypic screens. These results provide an example of the utility of structure and gene expression relationship studies in medicinal genomics.

Algorithms↗

PubMed2002

Profiling novel sulfonamide antitumor agents with cell-based phenotypic screens and array-based gene expression analysis.

A series of small molecules from sulfonamide-focused libraries have been evaluated in these laboratories to discover novel antitumor agents. Cell-based screens using flow cytometric analysis revealed the presence of two distinct classes of cell cycle inhibitors in this series; one (including E7010 and ER-67865) arrested mitosis by preventing tubulin polymerization; and the other (including E7070 and ER-68487) caused a decrease in the S-phase fraction along with cell cycle perturbation in G1 and/or G2 via an unknown mechanism(s). To further characterize both classes of antitumor sulfonamides with respect to their effects on gene expression, we used oligonucleotide microarray analysis for representative compounds. Consistent with the phenotypic observations, essentially the same transcription profiles were found between E7010 and ER-67865 and also between E7070 and ER-68487. However, there was very little overlap between genes affected by E7010 and E7070. As a characteristic expression change for microtubule-depolymerizing agents, the down-regulation of alpha-tubulin transcripts was evident in both E7010- and ER-67865-treated cells. On the other hand, E7070 and ER-68487 repressed significantly the expression of a variety of genes involved in metabolic processes, cell cycle progression, immune response, and signal transduction. Of the compounds examined, E7010 and E7070 have progressed to clinical trials, demonstrating some objective responses in the Phase I setting. Described herein is profiling of novel anticancer drug candidates from the sulfonamide class based on phenotypic screens and gene expression analysis. This includes a translational research that may suggest potentially useful markers for pharmacodynamic drug assessment in clinic.

Antineoplastic Agents↗