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Opendata, web and dolomites

QSPainRelief SIGNED

Effective combinational treatment of chronic pain in individual patients, by an innovative quantitative systems pharmacology pain relief approach.

Total Cost €

EC-Contrib. €

Partnership

Views

QSPainRelief project word cloud

Explore the words cloud of the QSPainRelief project. It provides you a very rough idea of what is the project "QSPainRelief" about.

circuit binding adequately stratified providers world populations confounding pain predict suffered cns suffer treating cellular trials brain kinetic validated alternative 60 quantitative care adverse animal patients conceivable 20 time combinational few rank game efficacy suitable quantitate volunteers sex disease model cheaper proprietary centrally clinical platform changer pharmacokinetic mechanism signalling healthy integrates treatments rely physiologically relief predicts burden health neuronal drug consuming reduce therapies tolerability age chronic networks trigger status combinations vision formal individuals active patient physicians silico models sub qspainrelief human analgesic confirmed insights outcome europeans neural pharmacology genotypes combination pharmacokinetics

Project "QSPainRelief" data sheet

The following table provides information about the project.

Coordinator	UNIVERSITEIT LEIDEN Organization address address: RAPENBURG 70 city: LEIDEN postcode: 2311 EZ website: www.universiteitleiden.nl contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	Netherlands [NL]
Project website	https://www.qspainrelief.eu/
Total cost	6˙239˙539 €
EC max contribution	6˙239˙538 € (100%)
Programme	1. H2020-EU.3.1.1. (Understanding health, wellbeing and disease)
Code Call	H2020-SC1-2019-Two-Stage-RTD
Funding Scheme	RIA
Starting year	2020
Duration (year-month-day)	from 2020-01-01 to 2024-12-31

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	UNIVERSITEIT LEIDEN UNIVERSITEIT LEIDEN Organization address address: RAPENBURG 70 city: LEIDEN postcode: 2311 EZ website: www.universiteitleiden.nl contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	NL (LEIDEN)	coordinator	1˙404˙207.00
2	IN SILICO BIOSCIENCES, INC IN SILICO BIOSCIENCES, INC Organization address address: 405 WALTHAM STREET city: LEXINGTON MA postcode: 2421 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	US (LEXINGTON MA)	participant	1˙095˙875.00
3	UNIVERSITE CATHOLIQUE DE LOUVAIN UNIVERSITE CATHOLIQUE DE LOUVAIN Organization address address: PLACE DE L UNIVERSITE 1 city: LOUVAIN LA NEUVE postcode: 1348 website: www.uclouvain.be contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	BE (LOUVAIN LA NEUVE)	participant	848˙320.00
4	STICHTING CENTRE FOR HUMAN DRUG RESEARCH STICHTING CENTRE FOR HUMAN DRUG RESEARCH Organization address address: ZERNIKEDREEF 10 city: LEIDEN postcode: 2333 CL website: www.chdr.nl contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	NL (LEIDEN)	participant	677˙636.00
5	UNIVERSIDAD POMPEU FABRA UNIVERSIDAD POMPEU FABRA Organization address address: PLACA DE LA MERCE, 10-12 city: BARCELONA postcode: 8002 website: www.upf.edu contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	ES (BARCELONA)	participant	585˙875.00
6	Concentris Research Management GmbH Concentris Research Management GmbH Organization address address: Ludwigstr. 4 city: Fürstenfeldbruck postcode: D-82256 website: www.concentris.de contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DE (Fürstenfeldbruck)	participant	530˙000.00
7	ALMA MATER STUDIORUM - UNIVERSITA DI BOLOGNA ALMA MATER STUDIORUM - UNIVERSITA DI BOLOGNA Organization address address: VIA ZAMBONI 33 city: BOLOGNA postcode: 40126 website: www.unibo.it contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	IT (BOLOGNA)	participant	390˙875.00
8	UNIVERSIDAD AUTONOMA DE BARCELONA UNIVERSIDAD AUTONOMA DE BARCELONA Organization address address: CALLE CAMPUS UNIVERSITARIO SN CERDANYOLA V city: CERDANYOLA DEL VALLES postcode: 8290 website: http://www.uab.es contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	ES (CERDANYOLA DEL VALLES)	participant	340˙875.00
9	PD-VALUE BV PD-VALUE BV Organization address address: MOLENAARSERF 102 city: HOUTEN postcode: 3991 KT website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	NL (HOUTEN)	participant	298˙375.00
10	CLINIQUES UNIVERSITAIRES SAINT-LUC CLINIQUES UNIVERSITAIRES SAINT-LUC Organization address address: AVENUE HIPPOCRATE 10 city: BRUXELLES postcode: 1200 website: http://www.saintluc.be contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	BE (BRUXELLES)	participant	67˙500.00

Map

Project objective

Chronic pain is a complex disease suffered by about 20% of Europeans. Up to 60% of these patients do not experience adequate pain relief from currently available analgesic combinational therapies and/or suffer confounding adverse effects. Of the many conceivable combinations only a few have been studied in formal clinical trials. Thus, physicians have to rely on clinical experience when treating chronic pain patients. The vision of the QSPainRelief consortium is that alternative novel drug combinations with improved analgesic and reduced adverse effects can be identified and assessed by mechanism-based Quantitative Systems Pharmacology in silico modelling. This is far cheaper and less time-consuming than clinical trials. We will develop an in silico QSPainRelief platform which integrates recently developed 1) physiologically based pharmacokinetic model to quantitate and adequately predict drug pharmacokinetics in human CNS, 2) target-binding kinetic models; 3) cellular signalling models and 4) a proprietary neural circuit model to quantitate the drug effects on the activity of relevant brain neuronal networks, that also adequately predicts clinical outcome. This platform will include patient characteristics such as age, sex, disease status and genotypes, and will predict efficacy and tolerability of a wide range of analgesic and other centrally active drug combinations, and rank these. The best combinations will then be validated in a suitable animal model, in two clinical studies in healthy volunteers, as well as in real world clinical practice. Quantitative insights and confirmed effective combinational treatments will result in a game-changer by improving the management of pain in individuals and stratified sub-populations of chronic pain patients, and reduce the large burden on health-care providers greatly. It would also increase the understanding of chronic pain in general, and trigger the development of even better combination therapies in the future.

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The information about "QSPAINRELIEF" are provided by the European Opendata Portal: CORDIS opendata.