معرفی
Marina Riefenstahl is an Assistant Professor at the University of Burgundy, affiliated with the Faculty of Health Sciences and INSERM U1093 CAPS research unit in Dijon, France. Her academic career spans neurophysiology, muscle biology, and aging research with particular emphasis on brain-derived neurotrophic factor (BDNF) as a key mediator in exercise-induced adaptations and neuroplasticity.
Education:
- PhD in Biochemistry (2016-2019), Université de Bourgogne-Franche Comté, Dijon
- Master's in Health Biology, Neuroscience specialization (2014-2016), Université de Montpellier
- Bachelor's in Animal Physiology and Neurosciences (2013-2014), Université de Montpellier
- D.U.T in Biological Engineering (2011-2013), University of Burgundy
- Postdoctoral Fellowship (2020-2024), University of Quebec in Montreal
Research Interests:
Dr. Riefenstahl's research investigates the complex muscle-brain crosstalk mechanisms, particularly focusing on myokines as signaling molecules that influence neuroplasticity. Her work examines how different exercise modalities affect BDNF production and distribution across tissues, with implications for cognitive function and healthy aging. She also studies age-related muscle atrophy and weakness, investigating mitochondrial biology and cellular mechanisms underlying these processes.
Publication Trends:
Her recent publications demonstrate consistent focus on BDNF signaling pathways, muscle physiology, and aging across multiple model systems. Her research spans from molecular mechanisms in rodent models to human physiological responses across the lifespan. A significant portion examines how exercise intensity and type influence neuroplasticity and muscle health, with translational applications for aging populations and disease prevention.
Research Collaborations:
- INSERM U1093 CAPS research unit (current affiliation)
- Laboratory of Professor G. Gouspillou at University of Quebec in Montreal (postdoctoral work)
- Multiple international collaborations across neuroscience and physiology fields
