α7 Nicotinic receptor-modulating agents reverse the hyperdopaminergic tone in the MAM model of schizophrenia.
Gilda A NevesAnthony A GracePublished in: Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology (2018)
Recent evidence has emerged supporting a role for the cholinergic system in schizophrenia, including the potential of α7 modulators as a treatment strategy. However, preclinical studies to date have relied on studies in normal systems rather than on a validated developmental model of schizophrenia. Furthermore, there have been only few studies on whether orthosteric and allosteric modulators have differential impacts in such models. Thus, we investigated the effects of α7 agonists and positive allosteric modulators (PAMs) on dopamine (DA) neuron activity in the ventral tegmental area (VTA) in the methylazoxymethanol acetate (MAM) developmental disruption model of schizophrenia. Four different drugs were evaluated: PNU282987 (full agonist), SSR180711 (partial agonist) NS1738 (PAM type I) and PNU120596 (PAM type II). PNU120596 increased the number of spontaneously active VTA DA neurons in normal rats. In contrast, PNU282987 and SSR180711 reduced the hyperdopaminergic tone in MAM rats. This appeared to be due to effects on DA afferent regulation, in that PNU282987 or SSR180711 infusion into the ventral hippocampus of MAM rats replicated the decrease in the number of spontaneously active VTA DA neurons. In contrast, infusion of the same drugs into the basolateral amygdala increased the number of spontaneously active VTA DA neurons in normal rats without impacting MAM rats. These data suggest that α7 receptors may represent a promising target in the development of new pharmacological therapies for schizophrenia.
Keyphrases
- bipolar disorder
- small molecule
- spinal cord
- prefrontal cortex
- magnetic resonance
- low dose
- spinal cord injury
- magnetic resonance imaging
- deep brain stimulation
- stem cells
- risk assessment
- functional connectivity
- machine learning
- metabolic syndrome
- artificial intelligence
- big data
- high resolution
- resting state
- human health
- combination therapy
- stress induced
- cell therapy
- subarachnoid hemorrhage
- atomic force microscopy