BIN3rs2280104 T allele is associated with excessive daytime sleepiness and altered network topology in Parkinson’s disease

Author:

Chen Zhichun,Wu Bin,Li Guanglu,Zhou Liche,Zhang Lina,Liu Jun

Abstract

AbstractBackgroundExcessive daytime sleepiness (EDS) is one of the most common non-motor symptoms in Parkinson’s disease (PD). Previous studies showed that PD patients with EDS exhibited more severe motor and non-motor symptoms. Our recent studies revealed thatBIN3rs2280104 was negatively associated with scores of Epworth Sleepiness Scale (ESS) in PD patients. The objective of this study is to examine whetherBIN3rs2280104 shapes brain networks of PD patients and whether network metrics associated withBIN3rs2280104 mediate the effects ofBIN3rs2280104 on EDS.MethodsPD patients (n = 144) receiving functional magnetic resonance imaging in Parkinson’s Progression Markers Initiative (PPMI) database were investigated. The clinical manifestations and graphical metrics of structural and functional network were compared among different genotype groups ofBIN3rs2280104. The mediation analysis was used to explore the causal associations between network metrics modified byBIN3rs2280104 and EDS of PD patients.ResultsESS scores were associated with more severe motor and non-motor symptoms.BIN3rs2280104 T allele was negatively associated with ESS scores in PD patients. Additionally,BIN3rs2280104 significantly shaped structural and functional network metrics of PD patients. The nodal Cp of left superior temporal pole in functional network and the degree centrality of left calcarine in structural network were negatively associated with ESS scores, however, only the degree centrality of left calcarine in structural network mediated the effects ofBIN3rs2280104 on EDS of PD patients.ConclusionsTo summarize,BIN3rs2280104 is significantly associated with EDS and network topology of PD patients. Additionally, the degree centrality of left calcarine in structural network mediated the effects ofBIN3rs2280104 on EDS. Future studies were required to identify the molecular mechanisms underlying the effects ofBIN3rs2280104 on EDS and brain network metrics of PD patients.

Publisher

Cold Spring Harbor Laboratory

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