Universal clinical Parkinson's disease axes identify a major influence of neuroinflammation.

Authors

Cynthia Sandor, Stephanie Millin, Andrew Dahl, Ann-Kathrin Schalkamp, Michael Lawton, Leon Hubbard, Nabila Rahman, Nigel Williams, Yoav Ben-Shlomo, Donald G Grosset, Michele T Hu, Jonathan Marchini, Caleb Webber

Abstract

There is large individual variation in both clinical presentation and progression between Parkinson's disease patients. Generation of deeply and longitudinally phenotyped patient cohorts has enormous potential to identify disease subtypes for prognosis and therapeutic targeting.

PMID:36384636 | DOI:10.1186/s13073-022-01132-9

UK DRI Authors

Dr Cynthia Sandor

Group Leader

Developing new ways to detect and monitor Parkinson’s

Dr Cynthia Sandor

Prof Caleb Webber

Director of Data Science & Group Leader

Combining state-of-the-art stem cell models with bioinformatics techniques to boost our understanding of the biological mechanisms underlying Parkinson’s disease

Prof Caleb Webber