Cocaine Disrupts Histamine H3 Receptor Modulation of Dopamine D1 Receptor Signaling: 1-D1-H3 Receptor Complexes as Key Targets for Reducing Cocaine's Effects

Cocaine disrupts histamine H3 receptor modulation of dopamine D1 receptor signaling: σ1-D1-H3 receptor complexes as key targets for reducing cocaine's effects.

The general effects of cocaine are not well understood at the molecular level. What is known is that the dopamine D1 receptor plays an important role. Here we show that a key mechanism may be cocaine's blockade of the histamine H3 receptor-mediated inhibition of D1 receptor function. This blockade requires the σ1 receptor and occurs upon cocaine binding to σ1-D1-H3 receptor complexes. The cocai...

Cocaine modulates dopamine D1-histamine H3 receptor heteromer function

Interactions between Histamine H1 and H3 and Dopamine D1 Receptors on feeding behavior in chicken

BACKGROUND: Brain monoamines (such as histamine and dopamine) play an important role in emotions, cognition, reward and feeding behavior. The interactions between histamine and dopamine were studied in many physiological functions but this correlation is unclear in feeding behavior of chickens. The aim of this study was to investigate the interaction of central histaminergic and dopaminergic sy...

GOLFa Mediates Dopamine D1 Receptor Signaling

It is generally assumed that the coupling of dopamine D1 receptors to adenylyl cyclase is mediated by the stimulatory GTP-binding protein Gs. However, the striatum contains little Gsa subunit, whereas it expresses high levels of Golfa, a close relative of Gsa that is also expressed in olfactory receptor neurons. We used Golfa knockout mice to examine the functional coupling of D1 receptors. We ...

Comparison of Different 2D and 3D-QSAR Methods on Activity Prediction of Histamine H3 Receptor Antagonists

     Histamine H3 receptor subtype has been the target of several recent drug development programs. Quantitative structure-activity relationship (QSAR) methods are used to predict the pharmaceutically relevant properties of drug candidates whenever it is applicable. The aim of this study was to compare the predictive powers of three different QSAR techniques, namely, multiple linear regression ...