Principal Investigators

    Jakob Kisbye Dreyer

    Institution

    Københavns Universitet

    Contact information of lead PI

    Country

    Denmark

    Title of project or programme

    Testing predictions of quantitative models of dopamine signals in different stages of Parkinson's disease.

    Source of funding information

    Lundbeckfonden

    Total sum awarded (Euro)

    € 242,150

    Start date of award

    01/05/2014

    Total duration of award in years

    2

    Keywords

    Research Abstract

    Recent computational models have indentified a dual effect of DA denervation in striatum, the condition leading to Parkinson’s Disease (Jakob Dreyer, unpublished). Here we found that geometrical aspects of the DA lesion in striatum play a determining role in shaping the post synaptic response of the DA signal. The DA signal is radically different and opposite in partially denervated areas compared to fully denervated regions. Therefore the intuitive consensus model of Parkinson’s disease (Figure 1A) does not describe early and presymptomatic phases of the disease and fits only partially in the late stage. In early stages of PD, DA tone is conserved by passive stabilization and denervation leads to loss of phasic high and low DA levels and ‘paradoxical’ D2 hyperactivity. Based on an analysis of underlying physics of DA signals I propose a theory of DA signals in Parkinsons disease (The swiss Cheese Theory, SCT) and a post synaptic compensatory mechanism (Phasic Amplitude Compensation, PAC). Combination of SCT and PAC leads to super sensitivity of D1 and D2 receptors in partly innervated tissue and reduced D2 expression in fully depleted areas. The theory predicts the full behavioral spectrum of 6-OHDA lesioned animals including ‘paradoxical’ contraversive rotations in early stage when challenged with low dose psychostimulants, apomorphine induced contraversive rotations and amphetamine induced ipsilateral rotations. The project here aims at experimental verifications of theoretical predictions and development of a large scale computational model with the long term goal of analyzing DA signaling in human parkinson’s patients.

    Further information available at:

Types: Investments < €500k
Member States: Denmark
Diseases: N/A
Years: 2016
Database Categories: N/A
Database Tags: N/A

Export as PDF