A biomarker found in spinal fluid can detect Parkinson’s disease in individuals with the disease and may flag those at risk years before symptoms develop, a study published in The Lancet Neurology found. The breakthrough, which could enable diagnosis of the disease for the first time in patients who do not exhibit a movement disorder, was achieved by an international coalition of scientists led by the Michael J. Fox Foundation (MJFF) as part of its landmark clinical study, the Parkinson’s Progression Markers Initiative (PPMI).
Tessara Therapeutics Pty Ltd. is developing a technology platform that builds three-dimensional models of the human brain to treat neurological diseases such as Parkinson’s disease.
Researchers from Biorchestra Ltd. presented preclinical data for BMD-001, a novel nanoparticle-formulated antisense oligonucleotide (ASO) being developed for the treatment of Parkinson’s disease (PD). miR-485-3p has been previously identified as a pathway and therapeutic target in neuroinflammatory disease, and the potential relevance of this target in PD was further confirmed through RNA-Seq and analysis of expression levels in animal models and patients with PD.
The accumulation of α-synuclein fibrils in the brain is the primary pathogenic hallmark in Parkinson’s disease (PD), the second most prevalent neurodegenerative disorder. Current therapies are mainly focused on late-stage symptoms and hence there is a need to find therapies tackling the disease at early stages. Recent studies validate that gut microbiome of PD patients as different from the one of healthy people.
Biohaven Ltd. has acquired global rights, excluding China regions, from Hangzhou Highlightll Pharmaceutical Co. Ltd. for TLL-041, now designated BHV-8000, an oral, brain-penetrant, highly selective, dual TYK2/JAK1 inhibitor, for neurological disorders.
A new study has uncovered a potential link between RNA regulation and the development of neurodegenerative diseases, such as Parkinson’s disease and dementia. This work, conducted by researchers at the University of Nottingham, used a combination of microscopy and machine learning techniques to examine the role of N6-methyladenosine modification of RNA (m6A) in the human brain.
