Marisa Wexler, MS, senior science writer —

Marisa holds a Master of Science in cellular and molecular pathology from the University of Pittsburgh, where she studied novel genetic drivers of ovarian cancer. Her areas of expertise include cancer biology, immunology, and genetics, and she has worked as a science writing and communications intern for the Genetics Society of America.

Articles by Marisa Wexler

GBA1 mutation linked to higher Parkinson’s risk among Africans

A mutation in the GBA1 gene is associated with an increased risk of Parkinson’s disease among people of African ancestry, a new study shows. While other mutations in GBA1 have previously been linked with Parkinson’s, this mutation, which is particularly common in people of African ancestry, has not been associated before with…

ND0612 beat oral levodopa/carbidopa at controlling motor symptoms

ND0612, a formulation of levodopa/carbidopa delivered continuously under the skin by a pump, was more effective than standard oral levodopa/carbidopa at controlling motor symptoms of Parkinson’s disease without causing problematic side effects. Those top-line findings from the Phase 3 BouNDless clinical trial were announced earlier this year,…

COVID-19 pandemic affected patient well-being: UK survey

The COVID-19 pandemic has had some negative physical and social impacts on the overall well-being of people with Parkinson’s disease, a new study highlights. Therefore, it’s important for clinicians to help patients get social support, not just address physical symptoms of the disease as pandemic-related restrictions ease, researchers wrote…

Regular exercise aids balance, eases Parkinson’s motor symptoms

Regular physical exercise helps to improve balance and mobility in people with mild to moderate Parkinson’s disease, an analysis of published studies reports. Best results, in terms of this easing in disease motor symptoms, were seen with “consistent and sustained” participation in exercise sessions. “The findings of our…

AI analysis helps identify molecular subtypes of Parkinson’s

Using machine learning to analyze a patient-derived cell model may help to identify different molecular subtypes of Parkinson’s disease, a new study shows. “Using a model of the patient’s own neurons, and combining this with large numbers of images, we generated an algorithm to classify certain subtypes – a…