Effect of chronic valproic Acid treatment on hepatic gene expression profile in wfs1 knockout mouse

Valproic acid (VPA) is a widely used anticonvulsant and mood-stabilizing drug whose use is often associated with drug-induced weight gain. Treatment with VPA has been shown to upregulate Wfs1 expression in vitro. Aim of the present study was to compare the effect of chronic VPA treatment in wild type (WT) and Wfs1 knockout (KO) mice on hepatic gene expression profile. Wild type, Wfs1 heterozygous, and homozygous mice were treated with VPA for three months (300?mg/kg i.p. daily) and gene expression profiles in liver were evaluated using Affymetrix Mouse GeneChip 1.0?ST array. We identified 42 genes affected by Wfs1 genotype, 10 genes regulated by VPA treatment, and 9 genes whose regulation by VPA was dependent on genotype. Among the genes that were regulated differentially by VPA depending on genotype was peroxisome proliferator-activated receptor delta (Ppard), whose expression was upregulated in response to VPA treatment in WT, but not in Wfs1 KO mice. Thus, regulation of Ppard by VPA is dependent on Wfs1 genotype

Wfs1 mutation makes mice sensitive to insulin-like effect of acute valproic acid and resistant to streptozocin

Valproic acid (VLP) is a widely used anticonvulsant and mood-stabilizing drug that relieves the endoplasmic reticulum (ER) stress response, a pathogenetic process related to diabetes. The aim of the present study was to evaluate whether acute valproic acid is able to interfere with glucose intolerance in two different diabetes models: The first model was a Wfs1 mutant mouse with an elevated ER stress response and the second model a streptozocin-induced diabetic mouse. VLP (300 mg/kg, i.p.) was administered to Wfs1 knockout (KO) mice and glucose tolerance test was performed 15 min later. VLP did not have an effect on the course of the glucose tolerance test in wild-type mice, while it did normalize the glucose intolerance in Wfs1 knockout mice. Acute valproic acid also lowered the blood glucose levels in streptozocin-treated mice and potentiated the effect of insulin in these mice. Thus, acute valproic acid is effective in lowering blood glucose levels possibly by potentiating insulin action in both Wfs1 KO mice and in streptozocin-induced type 1 diabetic mice

The G Protein-Coupled Receptor Heterodimer Network (GPCR-HetNet) and Its Hub Components.

G protein-coupled receptors (GPCRs) oligomerization has emerged as a vital characteristic of receptor structure. Substantial experimental evidence supports the existence of GPCR-GPCR interactions in a coordinated and cooperative manner. However, despite the current development of experimental techniques for large-scale detection of GPCR heteromers, in order to understand their connectivity it is necessary to develop novel tools to study the global heteroreceptor networks. To provide insight into the overall topology of the GPCR heteromers and identify key players, a collective interaction network was constructed. Experimental interaction data for each of the individual human GPCR protomers was obtained manually from the STRING and SCOPUS databases. The interaction data were used to build and analyze the network using Cytoscape software. The network was treated as undirected throughout the study. It is comprised of 156 nodes, 260 edges and has a scale-free topology. Connectivity analysis reveals a significant dominance of intrafamily versus interfamily connections. Most of the receptors within the network are linked to each other by a small number of edges. DRD2, OPRM, ADRB2, AA2AR, AA1R, OPRK, OPRD and GHSR are identified as hubs. In a network representation 10 modules/clusters also appear as a highly interconnected group of nodes. Information on this GPCR network can improve our understanding of molecular integration. GPCR-HetNet has been implemented in Java and is freely available at http://www.iiia.csic.es/~ismel/GPCR-Nets/index.html

In situ proximity ligation assay to study and understand the distribution and balance of GPCR homo- and heteroreceptor complexes in the brain

The existence of homo- and heteroreceptor complexes with allosteric receptor-receptor interactions increases the diversity of receptor function including recognition, traffi cking, and signaling. This phenomenon increases our understanding of how brain function is altered through molecular integration of receptor signals. An alteration in specifi c heteroreceptor complexes or their balance/equilibrium with the corresponding homoreceptors is considered to have a role in the pathogenic mechanisms that lead to mental and neurological diseases, including drug addiction, depression, Parkinson’s disease, and schizophrenia. However, despite extensive experimental work supporting the formation of these receptor complexes in cellular models, their detection and visualization in the brain remained largely unknown until recent years, when a well-characterized in situ proximity ligation assay (in situ PLA) was adapted to validate the existence of GPCR homo- and heteroreceptor complexes in their native environment. In this chapter we will describe the in situ PLA procedure as a high selectivity and sensitivity assay to detect and characterize GPCR homo- and heteroreceptor complexes and their balance and distribution ex vivo in the brain by confocal laser microscopy. Herein, we outlined in detail the in situ PLA assay and how to use it in an optimal way on work with formalin-fixed free-floating rat brain sections

The G protein-coupled receptor heterodimer network (GPCR-HetNet) and its hub components

G protein-coupled receptors (GPCRs) oligomerization has emerged as a vital characteristic of receptor structure. Substantial experimental evidence supports the existence of GPCR-GPCR interactions in a coordinated and cooperative manner. However, despite the current development of experimental techniques for large-scale detection of GPCR heteromers, in order to understand their connectivity it is necessary to develop novel tools to study the global heteroreceptor networks. To provide insight into the overall topology of the GPCR heteromers and identify key players, a collective interaction network was constructed. Experimental interaction data for each of the individual human GPCR protomers was obtained manually from the STRING and SCOPUS databases. The interaction data were used to build and analyze the network using Cytoscape software. The network was treated as undirected throughout the study. It is comprised of 156 nodes, 260 edges and has a scale-free topology. Connectivity analysis reveals a significant dominance of intrafamily versus interfamily connections. Most of the receptors within the network are linked to each other by a small number of edges. DRD2, OPRM, ADRB2, AA2AR, AA1R, OPRK, OPRD and GHSR are identified as hubs. In a network representation 10 modules/clusters also appear as a highly interconnected group of nodes. Information on this GPCR network can improve our understanding of molecular integration. GPCR-HetNet has been implemented in Java and is freely available at http://www.iiia.csic.es/~ismel/GPCR-Nets/index.html. © 2014 by the authors; licensee MDPI, Basel, Switzerland