Biography
Biography: Denis Gris
Abstract
Multiple sclerosis is an autoimmune demyelinating disease that aff ects more that 2.5 million people worldwide. Biochemical and in vitro data put forward many therapeutic candidates that have to be verifi ed in vivo models of MS. Experimental autoimmune encephalomyelitis (EAE) is a widely utilized model that replicates many aspects of MS. Th e traditionally used assessment of behavioural outcomes is performed by two independent observers in the blind to experimental setup manner. Such way of assessment is person dependent and allow only evaluate a small number of parameters. Also, the scores oft en are different among different laboratories. Here we propose to utilize 40 parameters behavioural assessment during development and progression of EAE. We used 24hr/day recording of animals before and three weeks aft er induction of EAE. The films were analysed using Clever Sys soft ware. We found dramatic diff erences in behavioural outcomes even within the first week of the EAE induction. First, we noted a significant reduction of total distance walked per day. Mice with EAE walked two-fold less after 1-week post-EAE and four-fold less aft er two weeks of EAE. Hanging behaviour signifi cantly declined (up to 30 fold) in mice within two weeks of EAE. On the other hand, grooming behaviour signifi cantly increased in the fi rst week of EAE. Detailed analysis of mouse activity revealed that mice are most active between 20h and 24h and least active during 11hr and 15hr. In conclusion, we demonstrate that multiple parameter automated analysis of behavioural outcomes may help to validate therapeutic targets and give insights into the mechanisms of the neuroinfl ammation during MS.