Sungkyunkwan University · Medicine
Professor Jinyoung Youn's research lab focuses on advancing the understanding and management of Parkinson's disease (PD) through innovative biomedical technologies and biomarker discovery. The lab specializes in developing wearable device-based systems for real-time monitoring of motor fluctuations and medication states ('On'/'Off' states) in PD patients, aiming to improve clinical decision-making and quality of life. Additionally, the lab investigates autophagy-related and neurodegeneration-related biomarkers in cerebrospinal fluid to identify early diagnostic and prognostic indicators. The research also explores fall mechanisms in PD, particularly through directional analysis of recurrent falls, to inform targeted prevention strategies.
Figures are computed from collected data and may differ slightly.
Fluctuations in motor symptoms are mostly observed in Parkinson's disease (PD) patients. This characteristic is inevitable, and can affect the quality of life of the patients. However, it is difficult to collect precise data on the fluctuation characteristics using self-reported data from PD patients. Therefore, it is necessary to develop a suitable technology that can detect the medication state, also termed the "On"/"Off" state, automatically using wearable devices; at the same time, this coul
The roles of autophagy-related proteins as diagnostic or monitoring biomarkers in Parkinson's disease (PD) have not been clearly elucidated. We recruited 32 patients with early-stage PD and 28 control subjects, and evaluated parkinsonian motor symptoms and dopamine transporter imaging data. Cerebrospinal fluid (CSF) levels of LC3B, Beclin1, and LAMP-2 were estimated using ELISAs, and CSF levels of ATG5, ATG7, and p62 were examined by immunoblotting. Additionally, we also assessed the levels of α
Falls are a common and disabling symptom in patients with Parkinson's disease (PD). For prevention, it is important to understand the pathophysiology of falls in PD patients, but the predictors for the possible mechanisms underlying such falls have not been clearly elucidated. In this prospective observational study, we investigated the implications of falling direction to predict the mechanisms of recurrent falls in PD patients. We enrolled 62 recurrent fallers with PD and divided them into two
Awareness and knowledge of PD showed hierarchical gradients with respect to age, income and education level. Pertinent educational strategies and approaches targeting specific subgroups are necessary to improve public awareness and knowledge about PD.
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