Project description:In the present work, we aimed to investigate the expression of microRNAs (miRNAs) in routine colonic biopsies obtained from patients with idiopathic Parkinson's disease (iPD) and to address their value as a diagnostic biomarker for PD and their mechanistic contribution to PD onset and progression.
Project description:Kuznetsov2016(II) - α-syn aggregation
kinetics in Parkinson's
This theoretical model uses 2-step Finke-Watzky (FW) kinetics
todescribe the production, misfolding, aggregation, transport and
degradation of α-syn that may lead to Parkinson's Disease
(PD). Deregulated α-syn degradation is predicted to be
crucialfor PD pathogenesis.
This model is described in the article:
What can trigger the onset
of Parkinson's disease - A modeling study based on a
compartmental model of α-synuclein transport and aggregation in
neurons.
Kuznetsov IA, Kuznetsov AV.
Math Biosci 2016 Aug; 278: 22-29
Abstract:
The aim of this paper is to develop a minimal model
describing events leading to the onset of Parkinson's disease
(PD). The model accounts for α-synuclein (α-syn) production in
the soma, transport toward the synapse, misfolding, and
aggregation. The production and aggregation of polymeric α-syn
is simulated using a minimalistic 2-step Finke-Watzky model. We
utilized the developed model to analyze what changes in a
healthy neuron are likely to lead to the onset of α-syn
aggregation. We checked the effects of interruption of α-syn
transport toward the synapse, entry of misfolded (infectious)
α-syn into the somatic and synaptic compartments, increasing
the rate of α-syn synthesis in the soma, and failure of α-syn
degradation machinery. Our model suggests that failure of α-syn
degradation machinery is probably the most likely cause for the
onset of α-syn aggregation leading to PD.
This model is hosted on
BioModels Database
and identified by:
BIOMD0000000615.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
Project description:Identification of early Parkinson's disease events by developing methodology that utilizes recent innovations in human pluripotent stem cells and chemical sensors of HSP90-incorporating chaperome networks.
Project description:Transcriptional analysis of multiple brain regions in Parkinson's disease supports the involvement of specific protein processing, energy metabolism, and signaling pathways, and suggests novel disease mechanisms. This SuperSeries is composed of the following subset Series: GSE20168: Transcriptional analysis of prefrontal area 9 in Parkinson's disease GSE20291: Transcriptional analysis of putamen in Parkinson's disease GSE20292: Transcriptional analysis of whole substantia nigra in Parkinson's disease Refer to individual Series
Project description:Sneppen2009 - Modeling proteasome dynamics in
Parkinson's disease
This model is described in the article:
Modeling proteasome dynamics
in Parkinson's disease.
Sneppen K, Lizana L, Jensen MH,
Pigolotti S, Otzen D.
Phys Biol 2009; 6(3): 036005
Abstract:
In Parkinson's disease (PD), there is evidence that
alpha-synuclein (alphaSN) aggregation is coupled to
dysfunctional or overburdened protein quality control systems,
in particular the ubiquitin-proteasome system. Here, we develop
a simple dynamical model for the on-going conflict between
alphaSN aggregation and the maintenance of a functional
proteasome in the healthy cell, based on the premise that
proteasomal activity can be titrated out by mature alphaSN
fibrils and their protofilament precursors. In the presence of
excess proteasomes the cell easily maintains homeostasis.
However, when the ratio between the available proteasome and
the alphaSN protofilaments is reduced below a threshold level,
we predict a collapse of homeostasis and onset of oscillations
in the proteasome concentration. Depleted proteasome opens for
accumulation of oligomers. Our analysis suggests that the onset
of PD is associated with a proteasome population that becomes
occupied in periodic degradation of aggregates. This behavior
is found to be the general state of a proteasome/chaperone
system under pressure, and suggests new interpretations of
other diseases where protein aggregation could stress elements
of the protein quality control system.
This model is hosted on
BioModels Database
and identified by:
BIOMD0000000548.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.