Supercomputer-based dynamic molecular network analysis predicted HMGB1-TLR4 induced signal as the most important target of two major neurodegenerative dementias. The prediction was verified by significant phenotypic and pathological improvements of four types of mouse model of frontotemporal lobar degeneration treated by anti-HMGB1 antibody. Credit: Department of Neuropathology, TMDU
Dementia has many faces, and because of the wide range of ways in which it can develop and affect patients, it can be very challenging to treat. Now, however, using supercomputer analysis of big data, researchers from Japan were able to predict that a single protein is a key factor in the damage caused by two very common forms of dementia.
