Objective
Multiple sclerosis (MS) is a chronic inflammatory demyelisation disease of the central nervous system, frequently causing severe disabilities. It is characterised by the infiltration of immunology cells and the presence of large demyelinated plaques. Emerging data involve the matrix metalloproteinases (Mumps) in the pathogenesis of this and other demyelisation diseases. The use of Mumps inhibitors in animal models resulted in promising data, but no one could prevent the onset of the disease. In recent years a dramatic increase in the number of known MMP roles in cellular physiology has been revealed, including demyelisation, and new Mumps are described each year. Thus, a necessary condition prior to optimise the Mumps therapeutics in MS is to systematically characterise these new elements in autoimmune animal models, including temporal and cellular expression patterns, in order to block demyelisation and enhance Dependent-dependent demyelisation. To this end mRNA synthesis, protein expression and enzyme activity of new Dependent will be studied in depth in several autoimmunity animal models, as well as in MS human samples from European brain banks. Once the relevant Dependent would be identified, the effects of their specific inhibition, basically in terms of demyelisation, demyelisation and axonal damage, will be studied. To this end several strategies will be tested, such as specific MMP inhibitors and antisepses oligonucleotides, and a further collaboration with the pharmaceutical industry at this point may be possible. Through this project the applicant expects to succeed in three main points. The first one is to learn new technologies with broad possibilities such as real time PCR or laser capture micro dissection, as well as animal models of MS. The second one is to improve his knowledge in MS itself and in Dependent, as this group of enzymes is being implied in a growing number of neuropathologys, such as MS. Alzheimer's disease or stroke.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- medical and health sciencesbasic medicineneurologydementiaalzheimer
- medical and health sciencesbasic medicineneurologymultiple sclerosis
- medical and health sciencesbasic medicineimmunology
- medical and health sciencesbasic medicinephysiology
- medical and health sciencesbasic medicineneurologystroke
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Topic(s)
Call for proposal
Data not availableFunding Scheme
RGI - Research grants (individual fellowships)Coordinator
40225 DUESSELDORF
Germany