Efficacy in diet-induced obese mice of the hepatotropic, peripheral cannabinoid 1 receptor inverse agonist TM38837.

Background And Purpose: The cannabinoid CB receptor has a well-established role in appetite regulation. Drugs antagonizing central CB receptors, most notably rimonabant, induced weight loss and improved the metabolic profile in obese individuals but were discontinued due to psychiatric side effects. However, metabolic benefits were only partially attributable to weight loss, implying a role for peripheral receptors, and peripherally restricted CB receptor antagonists have since been of interest.

Optimizing and characterizing 4-methyl substituted pyrazol-3-carboxamides leading to the peripheral cannabinoid 1 receptor inverse agonist TM38837.

Several series of diverse pyrazole-3-carboxamides functionalized with 4-methylamides, 4-methylcarboxylic acids and 4-methyltetrazoles were prepared from the corresponding 4-cyanomethylpyrazoles and investigated as Cannabinoid receptor 1 (CB1) antagonists and inverse agonists with the aim of making compounds with less CNS (Central Nervous System) mediated side-effects compared to rimonabant. The compounds were evaluated and optimized with respect to lipophilicity, solubility, CB1 potency, metabolism, distribution to brain and liver, effect on weight loss in diet-induced mice models. A few carboxylic acids and tetrazoles were selected as especially promising with the tetrazole TM38837 subsequently demonstrating impressive efficacy in various animal models of obesity, producing considerable weight loss and improvements on plasma markers of inflammation and glucose homeostasis, at doses apparently producing negligible brain exposure.

Avoidance behaviour and toxicological impact of sunscreens in the teleost Chelon auratus.

There is increasing evidence that sunscreen, more specifically the organic ultra-violet filters (O-UVFs), are toxic for aquatic organisms. In the present study, we simulated an environmental sunscreen exposure on the teleost fish, Chelon auratus. The first objective was to assess their spatial avoidance of environmental concentrations of sunscreen products (i.

A guide to the BRAIN Initiative Cell Census Network data ecosystem.

Characterizing cellular diversity at different levels of biological organization and across data modalities is a prerequisite to understanding the function of cell types in the brain. Classification of neurons is also essential to manipulate cell types in controlled ways and to understand their variation and vulnerability in brain disorders. The BRAIN Initiative Cell Census Network (BICCN) is an integrated network of data-generating centers, data archives, and data standards developers, with the goal of systematic multimodal brain cell type profiling and characterization.