COVID-19 infection activates the same inflammatory response in the brain as Parkinson's disease, a new study reports.
People who lost weight soon after being diagnosed with Parkinson's disease had a more rapid decline in thinking skills compared to those who maintained their normal weight. Those who gained weight had a slower decline in cognitive skills.
Post-mortem analysis of the brains of those with Parkinson's disease revealed more than 200 genes with different epigenetic markers compared to healthy brains, but the affected genes were almost entirely different between women and men.
Researchers discovered personal odors can alter in people with Parkinson's disease. Based on this, they identified specific markers for Parkinson's in sebum, an oily substance secreted from the skin. They developed a new, non-invasive swab test that can identify Parkinson's with 95% accuracy.
A new in-home device that monitors movement and gait speed can evaluate Parkinson's disease severity, progression, and a patient's response to medication.
Researchers successfully turned skin cells from Parkinson's patients into dopaminergic neurons by introducing a combination of neural-inducing genes into the skin cells.
COVID-19 infection has been linked to a range of lasting neurological and psychological disorders, including depression, memory problems, and Parkinson's-like disorders, within the first year following infection.
Early-to-midlife infections that require hospital care are associated with an increased risk of developing Alzheimer's and Parkinson's disease later in life, a new study reports.
Irisin, a hormone secreted into the blood during high endurance and aerobic exercise, reduces levels of alpha-synuclein and restores movement in mouse models of Parkinson's disease.
Study reveals a novel mechanism in locus coeruleus neurons caused by the loss of the GPT2 mitochondrial enzyme that is implicated in the development and progression of neurodegenerative diseases.
Dampening retromer activity slows down the trafficking of tau in neurodegenerative disorders, a new study reports.
A newly developed artificial intelligence model can detect Parkinson's disease by reading a person's breathing patterns. The algorithm can also discern the severity of Parkinson's disease and track progression over time.
