Myung-jun Lee

Dr. Myung-jun Lee


Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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20 July 2021 in Scientific Reports
Verified
Journal Article
Open access
PDF file
MBMin Seok Baek
Min Seok Baek
MLMyung-jun Lee
Myung-jun Lee
HKHan-Kyeol Kim
Han-Kyeol Kim
CLChul Hyoung Lyoo
Chul Hyoung Lyoo
Full dynamics of biofluid biomarkers have been unknown in patients with Parkinson’s disease (PD). Using data from 396 PD patients and 182 controls in the Parkinson's Progression Markers Initiative (PPMI) database, we estimated long-term temporal trajectories of CSF α-synuclein (α-syn), amyloid-β (Aβ), total tau (t-tau), phosphorylated tau (p-tau) and serum neurofilament light chain (NfL) by integrating function between the baseline levels and annual changes. At baseline, PD patients showed lower CSF α-syn, Aβ, t-tau and p-tau levels than those of the controls. In all PD patients, CSF α-syn and Aβ decreased in a negative exponential pattern before the onset of motor symptoms, whereas CSF t-tau and p-tau, and serum NfL increased. Patients with cognitive impairment exhibited faster decline of Aβ and α-syn and faster rise of t-tau, p-tau and NfL, when compared to those without. Similarly, low Aβ group showed earlier decline of α-syn, faster rise of t-tau, p-tau and NfL, and faster decline of cognitive performances, when compared to high Aβ group. Our results suggest that longitudinal changes in biomarkers can be influenced by cognitive impairment and Aβ burden at baseline. PD patients with Aβ pathology may be associated with early appearance of α-synuclein pathology, rapid progression of axonal degeneration and neurodegeneration, and consequently greater cognitive decline.


1 June 2018 in Parkinsonism & Related Disorders
Verified
Journal Article
Closed access
KPKyoungjune Pak
Kyoungjune Pak
HSHae Kyung Shin
Hae Kyung Shin
EKEun-Joo Kim
Eun-Joo Kim
JLJae-Hyeok Lee
Jae-Hyeok Lee
CLChul Hyoung Lyoo
Chul Hyoung Lyoo
MLMyung-jun Lee
Myung-jun Lee

28 January 2021 in Journal of Neural Transmission
Verified
Journal Article
Closed access
PDF file
DPDong Jun Park
Dong Jun Park
JLJun Woo Lee
Jun Woo Lee
MLMyung-jun Lee
Myung-jun Lee
SASEJIN AHN
SEJIN AHN
JKJiyoung Kim
Jiyoung Kim
WJWeuibong Jeong
Weuibong Jeong

1 December 2021 in Radiology
Verified
Journal Article
Closed access
HLHansol Lee
Hansol Lee
HCHyungjoon Cho
Hyungjoon Cho
MLMyung-jun Lee
Myung-jun Lee
TKTae-Hyung Kim
Tae-Hyung Kim
JRJieun Roh
Jieun Roh
JLJae-Hyeok Lee
Jae-Hyeok Lee
Combining R2* and quantitative susceptibility mapping values in the substantia nigra subdivisions enabled diagnostic distinction of participants with Parkinson disease from healthy control subjects... Background The heterogeneous composition of substantia nigra (SN), including iron, nigrosome-1 substructure, and myelinated white matter, complicates the interpretation of MRI signals. Purpose To i...

26 November 2021 in npj Parkinson's Disease
Verified
Journal Article
Open access
PDF file
MLMyung-jun Lee
Myung-jun Lee
KPKyoungjune Pak
Kyoungjune Pak
HKHan-Kyeol Kim
Han-Kyeol Kim
KNKelly N. Nudelman
Kelly N. Nudelman
JKJong Hun Kim
Jong Hun Kim
CLChul Hyoung Lyoo
Chul Hyoung Lyoo
To estimate dopaminergic dysfunction in patients with Parkinson disease (PD) during the premotor stage and to investigate the effect of genetic factors on the trajectories. Using longitudinal dopamine transporter single-photon emission computed tomography data from 367 sporadic PD (sPD), 72 LRRK2 (G2019S), and 39 GBA (N370S) PD patients in the Parkinson’s Progression Markers Initiative (PPMI) study, we estimated the temporal trajectories of putaminal-specific binding ratios using an integrating function between baseline values and their annual change rates. In order to test reproducibility, we computed another trajectory for sPD using positron emission tomography data of 38 sPD patients at Gangnam Severance Hospital (GSH). Temporal trajectories of sPD were compared between the groups separated by age at onset (AAO) and polygenic load for common PD risk variants, and also compared with genetic PD. sPD patients in both the PPMI and GSH cohorts showed similar onset of dopaminergic degeneration around 10 years before motor onset. Early-onset PD patients exhibited later onset of degeneration and a faster decline in dopaminergic activity during the premotor period than late-onset patients. sPD patients with high polygenic load were associated with earlier onset and slower progression of dopaminergic dysfunction. Compared to the sPD and LRRK2 PD groups, GBA PD patients exhibited faster deterioration of dopaminergic function during the premotor stage. Dopaminergic dysfunction in PD appears to start about 10 years before motor onset. Genetic factors may be contributing to the heterogeneity of dopaminergic deterioration during the premotor stage.