Jin Wang

Jin Wang


Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

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

Representative Publications

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1 November 2022 in BMC Public Health
Verified
Journal Article
Open access
PDF file
FGFan Gao
Fan Gao
SWShan Wei
Shan Wei
LDLiangjun Dang
Liangjun Dang
YGYao Gao
Yao Gao
LGLing Gao
Ling Gao
QQQiumin Qu
Qiumin Qu
Background: Sleep is conducive to the elimination of brain metabolites and the recovery of brain function. However, the relationship between sleep disturbance and Mild Cognitive Impairment is not fully been determined. Methods: This was a community population-based cross-sectional study. A total of 1,443 participants from a village in the suburbs of Xi’an, China were enrolled in 2017. Sleep quality was evaluated using the Pittsburgh sleep quality index (PSQI), and sleep disturbance was defined as a PSQI score > 5. Mini-Mental State Examination (MMSE) was used to assess cognitive function and Mild Cognitive Impairment(MCI) was defined as the MMSE score less than cutoff values and meets the diagnostic criteria. Univariate and multivariate analyses were used to analyze the relationships between sleep disturbance and MCI. Results: Among 1,443 subjects, 69(4.78%) had MCI, and 830 (57.52%) had sleep disturbance. In bivariate analysis, MCI was associated with sleep disturbance (ρ = 0.094, P<0.001). In the binary logistic regression, MCI was positively associated with the sleep disturbance (OR = 2.027, 95%CI = 1.112–3.698, P = 0.021). In the internal constitution of PSQI, MCI was negatively associated with the habitual sleep efficiency (OR = 0.447, 95%CI = 0.299–0.669, P < 0.001). Compared with waking up before or at 7 am, waking up after 7 am (OR = 0.555, 95%CI = 0.309–0.995, P = 0.048), or 8 am (OR = 0.296, 95%CI = 0.097–0.902, P = 0.032) was probably more likely to have normal cognition. However, people who slept more than 8 h a day might be more likely to suffer from MCI (OR = 5.560, 95%CI = 1.419–21.789, P = 0.014). Conclusion: Sleep disturbance is associated with Mild Cognitive Impairment. However, the causal relationship between them is not clear. It needs to be further studied.

3 July 2024 in Molecular Neurobiology
Verified
Journal Article
Closed access
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WPWei Peng
Wei Peng
YYYe Yuan
Ye Yuan
JLJingna Lei
Jingna Lei
YZYi Zhao
Yi Zhao
YLYan Li
Yan Li
JWJin Wang
Jin Wang

21 March 2024 in Molecular Neurobiology
Verified
Journal Article
Closed access
PDF file
YYYe Yuan
Ye Yuan
WPWei Peng
Wei Peng
JLJingna Lei
Jingna Lei
YZYi Zhao
Yi Zhao
BZBeiyu Zhao
Beiyu Zhao
QQQiumin Qu
Qiumin Qu

28 March 2023 in Nutritional Neuroscience
Verified
Journal Article
Closed access
YMYimeng Ma
Yimeng Ma
SWShan Wei
Shan Wei
LDLiangjun Dang
Liangjun Dang
LGLing Gao
Ling Gao
SSSuhang Shang
Suhang Shang
QQQiumin Qu
Qiumin Qu
Insulin resistance (IR) is a feature of metabolic syndrome and plays an important role in cognitive impairment (CI). The triglyceride-glucose (TyG) index is a convenient and cost-effective surrogat...

18 January 2021 in Frontiers in Aging Neuroscience
Verified
Journal Article
Open access
PDF file
YGYao Gao
Yao Gao
SWShan Wei
Shan Wei
FGFan Gao
Fan Gao
LGLing Gao
Ling Gao
LDLiangjun Dang
Liangjun Dang
QQQiumin Qu
Qiumin Qu
Objective: Growing evidence suggests that sleep disturbance is a risk factor for Alzheimer's disease (AD). Amyloid-β (Aβ) deposition in the brain is a main pathophysiology of AD. Considering that peripheral Aβ level is associated with brain Aβ deposition, the present study investigated the relationship between sleep disturbance and plasma Aβ levels.Methods: This is a population-based cross-sectional study. A total of 1,459 participants from a village in the suburbs of Xi'an, China, were enrolled from January 3, 2017 to March 26, 2017. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI), and a PSQI score of 10 points as poor sleep quality. Cognitive function was assessed with the Mini-Mental State Examination (MMSE). Fasting venous blood was taken in the morning, and the plasma Aβ levels were measured using ELISA. The relationships between plasma Aβ levels and sleep quality were analyzed using multiple linear regression.Results: Among the participants, 231 had poor sleep quality (15.83%). The log-transformed Aβ40 level had significant differences among the different sleep groups (F = 3.216, p = 0.040). The log-transformed Aβ40 level was higher in the poor sleep quality group than that in the general sleep quality group [87.17 (73.42, 107.34) vs. 89.69 (74.81, 125.79) pg/ml, p = 0.016]. In bivariate analysis, sleep quality was negatively associated with the log-transformed plasma Aβ40 level (β = −0.025, p = 0.011).Conclusion: In the community population, poorer sleep quality is associated with a higher plasma Aβ40 level. This indicated that sleep disturbance might also involve in dysfunction of peripheral Aβ clearance.

4 June 2021 in Frontiers in Aging Neuroscience
Verified
Journal Article
Open access
MSMeilin She
Meilin She
SSSuhang Shang
Suhang Shang
NHNingwei Hu
Ningwei Hu
CCChen Chen
Chen Chen
LDLiangjun Dang
Liangjun Dang
QQQiumin Qu
Qiumin Qu
Objectives: Amyloid-β (Aβ) deposition in the brain is the hallmark of Alzheimer’s disease (AD) pathology. Hypertension is a risk factor for AD, but the effects of hypertension on Aβ deposition are not fully determined. Considering peripheral Aβ closely relates to Aβ deposition in the brain, we investigated the relationships between blood pressure (BP) level and plasma Aβ concentrations.Methods: One-thousand and sixty-nine participants (age above 45) from a village in the suburbs of Xi’an, China were enrolled. Questionnaires and validated Chinese versions of the Mini-Mental State Examination (MMSE) were used to collect information about vascular risk factors and assess cognition function. The apolipoprotein E (ApoE) genotype was detected using PCR and sequencing. Plasma Aβ levels were measured using ELISA. The associations between BP and plasma Aβ levels were analyzed by using multivariate linear regression.Results: Plasma Aβ1–40 level was higher in high BP group than that in normal BP group (53.34 ± 8.50 pg/ml vs. 51.98 ± 8.96 pg/ml, P = 0.013), in high SBP group than that in normal SBP group (53.68 ± 8.69 pg/ml vs. 51.88 ± 8.80 pg/ml, P = 0.001) and in high MABP group than that in normal MABP group (54.05 ± 8.78 pg/ml vs. 52.04 ± 8.75 pg/ml, P = 0.001). After controlling for the confounding factors, SBP (b = 0.078, P < 0.001), DBP (b = 0.090, P = 0.008) and MABP (b = 0.104, P < 0.001) correlated with plasma Aβ1–40 level positively in ApoE ε4 non-carriers, but not ApoE ε4 carriers.Conclusions: Elevated BP levels were associated with increased plasma Aβ1–40 levels in middle-aged and elderly ApoE ε4 non-carriers.