GAIT-2-OA

Can biomechanical measurements of joints predict severity of osteoarthritis?

 Coordinatore THE ROYAL VETERINARY COLLEGE 

 Organization address address: Royal College Street
city: LONDON
postcode: NW10TU

contact info
Titolo: Mrs.
Nome: Carol
Cognome: Lawson
Email: send email
Telefono: 442075000000
Fax: 442074000000

 Nazionalità Coordinatore United Kingdom [UK]
 Totale costo 154˙617 €
 EC contributo 154˙617 €
 Programma FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call FP7-PEOPLE-2012-IEF
 Funding Scheme MC-IEF
 Anno di inizio 2013
 Periodo (anno-mese-giorno) 2013-09-01   -   2014-08-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    THE ROYAL VETERINARY COLLEGE

 Organization address address: Royal College Street
city: LONDON
postcode: NW10TU

contact info
Titolo: Mrs.
Nome: Carol
Cognome: Lawson
Email: send email
Telefono: 442075000000
Fax: 442074000000

UK (LONDON) coordinator 154˙617.60

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

prone    degeneration    ort    drop    age    mouse    joint    osteoarthritis    model    mice    normal    gait    ageing    invasively    versus    oa    genetic    severity    str   

 Obiettivo del progetto (Objective)

'Osteoarthritis (OA) is a painful and disabling, multi-factorial disease with strong genetic and environmental determinants. The natural form of OA that arises spontaneously in Str/ort mice has been used as a model for human OA joint degeneration. This model is limited, however, because it is impossible to grade OA incidence and severity non-invasively in mice. Locomotor biomechanics provides a unique tool for non-invasively assessing knee dynamics, and has already been used to detect gait modifications in humans. Such gait analyses are directly transferable to mice. Our pilot data suggest that OA-prone Str/ort mice, in which the joints deteriorate rapidly with ageing, can readily be categorised by temporal changes in gait. Our hypothesis is that deterioration or deviation in individual mouse gait from normal will provide a non-invasive measure of joint degeneration. Our first aim is to examine the heritability of histological osteoarthritis (OA) severity and drop-out age, and their genetic and phenotypic correlations. Our second aim is to assess the relationship between different aspects of gait measurements and OA severity in Str/ort mice, and to assess the predictability of gait measurements on drop-out age. The third aim is to assess the degrees of asymmetry of individuals’ gait measurements (left versus right and front versus rear limbs) during the development of OA in Str/ort mice and compare these to changes in gait during normal healthy ageing in non OA-prone, mice. Identifying new statistically-defined and robust methods of OA detection in the mouse that do not require sacrifice would radically change how OA research might be conducted using this species and accelerate translation of new therapies.'

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