4.5 Article

Clinical Characteristics, Iron Metabolism and Neuroinflammation: New Insight into Excessive Daytime Sleepiness in Parkinson's Disease

期刊

NEUROPSYCHIATRIC DISEASE AND TREATMENT
卷 17, 期 -, 页码 2041-2051

出版社

DOVE MEDICAL PRESS LTD
DOI: 10.2147/NDT.S272110

关键词

Parkinson disease; excessive daytime sleepiness; clinical features; iron metabolism; inflammation

资金

  1. National Key Research and Development Program of China [2016YFC1306000, 2016YFC1306300]
  2. National Key R&D Program of China European Commission Horizon 2020 [2017YFE0118800779238]
  3. National Natural Science Foundation of China [81571229, 81071015, 30770745]
  4. Key Project of National Natural Science Foundation of China [81030062]
  5. Key Project of Natural Science Foundation of Beijing, China [4161004, kz200910025001, kz201610025030]
  6. Natural Science Foundation of Beijing, China [7082032]
  7. National Key Basic Research Program of China [2011CB504100]
  8. Important National Science & Technology Specific Projects [2011ZX0910200301]
  9. National Key Technology Research and Development Program of the Ministry of Science and Technology of China [2013BAI09B03]
  10. Capital Clinical Characteristic Application Research, China [Z12110700100000, Z121107001012161]
  11. Project of Scientific and Technological Development of Traditional Chinese Medicine in Beijing, China [JJ201848]
  12. High Concentration Technical Personnel Training Project of Beijing Health System, China [2009326]
  13. Project of Beijing Institute for Brain Disorders, China [BIBD-PXM2013 _014226_07_000084]
  14. Project of Construction of Innovative Teams and Teacher Career Development for Universities and Colleges Under Beijing Municipality, China [IDHT20140514]
  15. Excellent Personnel Training Project of Beijing, China [20071D0300400076]
  16. Beijing Healthcare Research Project, China [JING152]
  17. BasicClinical Research Cooperation Funding of Capital Medical University, Beijing, China [2015JLPTX04, 10JL49, 14JL15]
  18. Natural Science Foundation of Capital Medical University, Beijing, China [PYZ2018077]
  19. Youth Research Funding, Beijing Tiantan Hospital, Capital Medical University, Beijing, China [2015YQN14, 2015YQN15, 2015YQN17]

向作者/读者索取更多资源

The study found that excessive daytime sleepiness is a common symptom in patients with Parkinson's disease, which is associated with more severe motor and non-motor symptoms, and overloaded iron-relevant inflammation in the brain might be an underlying mechanism of PD-EDS.
Background: To investigate the clinical characteristics, iron metabolism and neuroinflam-mation in Parkinson's disease (PD) patients with excessive daytime sleepiness (EDS). Methods: We studied 379 patients with PD and 30 age-matched controls. All subjects were evaluated by Epworth sleepiness scale (ESS) and a series of rating scales and were divided into PD-EDS and PD-NEDS groups according to ESS score. The concentrations of iron and iron-related proteins and inflammatory cytokines in both cerebrospinal fluid (CSF) and serum were examined. Results: 1. The occurrence rate of EDS in total PD patients was 16.09%. 2. PD-EDS group had significantly severer disease stages, more severe motor and non-motor features of the disease. 3. In CSF, the concentrations of iron and IL-1 beta in the PD-EDS group were significantly higher and ferritin concentration was prominently lower when compared with the PD-NEDS group and the control group; ESS score was significantly associated with high concentrations of iron and IL-1 beta and low concentration of ferritin in the PD group. Iron concentration was positively correlated with IL-1 beta concentration in the PD-EDS group. 4. In serum, no changes were observed in iron and iron-related proteins and inflammatory cytokines among the three groups. Conclusion: EDS was a common symptom in PD patients. PD patients with EDS had more severe motor and some non-motor symptoms. Overloaded iron-relevant inflammation in the brain might be an underlying mechanism of PD-EDS.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据