MS Research: Using Epigenetic Clocks and Biomarkers to Assess Biological Aging - podcast episode cover

MS Research: Using Epigenetic Clocks and Biomarkers to Assess Biological Aging

Feb 28, 20240
--:--
--:--
Download Metacast podcast app
Listen to this episode in Metacast mobile app
Don't just listen to podcasts. Learn from them with transcripts, summaries, and chapters for every episode. Skim, search, and bookmark insights. Learn more

Episode description

Guest: Yinan Zhang, MD

Chronological age is the biggest early driver of disease progression in patients with multiple sclerosis (MS). That’s why a team of researchers wanted to explore whether biomarkers like p16 and the epigenetic clock can be used to assess biological aging in patients with MS. They found that while patients with MS are aging faster than people without MS based on the epigenetic clock biomarker, no chronological age correlation in p16 expression has been identified in patients with MS. Dive further into these findings with Dr. Yinan Zhang, an Assistant Professor of Neurology at Ohio State University who presented this research at the 2024 ACTRIMS Forum.

For the best experience, listen in Metacast app for iOS or Android