Literature DB >> 21510840

The histamine H₃ receptor as a therapeutic drug target for metabolic disorders: status, challenges and opportunities.

Jean-Marc Plancher1.   

Abstract

Since the histamine-3 receptor (H₃R) was cloned in 1999, huge efforts have been made by most of the key players in the pharmaceutical industry as well as in smaller biotech companies to increase the knowledge on this peculiar receptor, with the ultimate goal of bringing new drugs to the market. This review gives a survey on the most valuable chemical tools discovered so far and the significant pharmacological experiments on metabolic disease models published to date. Pharmacology of H₃R antagonists turns out to be very complex due to various functional activities, species selectivity, presence of H₃R isoforms and the poorly understood dichotomy in efficacy between CNS and metabolic disease models. Adding an extra layer of complexity, researchers have to cope with some recurrent safety concerns, some of them being tightly linked to the nature of the H₃R pharmacophore. Therefore this review also strives to summarize the major hurdles and some of the contradictions seen in the H₃R field, together with a brief overview of the clinical trials currently running.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21510840     DOI: 10.2174/156802611795860906

Source DB:  PubMed          Journal:  Curr Top Med Chem        ISSN: 1568-0266            Impact factor:   3.295


  3 in total

1.  Influence of the novel histamine H₃ receptor antagonist ST1283 on voluntary alcohol consumption and ethanol-induced place preference in mice.

Authors:  Amine Bahi; Bassem Sadek; Stephan J Schwed; Miriam Walter; Holger Stark
Journal:  Psychopharmacology (Berl)       Date:  2013-03-09       Impact factor: 4.530

Review 2.  Cyclobutanes in Small-Molecule Drug Candidates.

Authors:  Marnix R van der Kolk; Mathilde A C H Janssen; Floris P J T Rutjes; Daniel Blanco-Ania
Journal:  ChemMedChem       Date:  2022-03-29       Impact factor: 3.540

3.  Improvement of the Prediction Power of the CoMFA and CoMSIA Models on Histamine H3 Antagonists by Different Variable Selection Methods.

Authors:  Jahan B Ghasemi; Hossein Tavakoli
Journal:  Sci Pharm       Date:  2012-05-24
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.