Project

DOLORisk: Understanding risk factors and determinants for neuropathic pain

Acronym
DOLORisk
Duration
01 July 2015 → 30 September 2020
Funding
European funding: framework programme
Research disciplines
  • Humanities
    • Linguistics
  • Social sciences
    • Biological and physiological psychology
    • Cognitive science and intelligent systems
    • Developmental psychology and ageing
  • Medical and health sciences
    • Neurosciences
    • Neurosciences
    • Neurosciences
Keywords
risk factors neuropathology
 
Project description

Neuropathic pain (NP) is common (population prevalence of 7-8%) and will present a rising health burden in the future. NP results in significant morbidity, reduces quality of life and has a major deleterious impact on health in aging. The reason why some subjects develop neuropathic pain and others do not following the same injury is not
known. The exact nature of risk factors for NP and their interaction are currently poorly understood and will be the focus of this project. We will establish an international consortium of leading researchers in the field of NP (DOLORisk consortium) involving members of established academic European consortia studying pain/genomics and neuropathy as well as the SMEs Neuroscience Technologies and Mentis Cura. The project will be highly translational and the starting point will be the study of patients with NP or at risk of developing NP.
Specific objectives will be to:
1) Identify the influence of demographic factors, environmental/societal and clinical factors on the risk of developing
and maintenance of NP
2) To apply modern genomics to validate (using a targeted approach) and find novel (using genome wide association)
genetic risk factors for NP.
3) Use tissue samples and patient derived cells from Biobanks to validate of molecular pathways contributing to
chronic pain in patients.
4) To determine if patient stratification using physiological (sensory profile, endogenous analgesic mechanisms and
nerve excitability) and psychological factors can predict NP risk and progression.
5) Development of a risk model/algorithm for (severe) NP, combining measurable genetic and environmental factors.
Our aim is to understand pain pathophysiology in terms of risk factors and protective mechanisms ranging from molecular pathways to societal impacts. The desired impact is to provide a firm platform to improve diagnosis and stratify patients according to risk profile, employ preventive strategies and ultimately develop novel therapeutics.