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Correlations between abnormal iron metabolism and non-motor symptoms in Parkinson’s disease

Overview of attention for article published in Journal of Neural Transmission, May 2018
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Title
Correlations between abnormal iron metabolism and non-motor symptoms in Parkinson’s disease
Published in
Journal of Neural Transmission, May 2018
DOI 10.1007/s00702-018-1889-x
Pubmed ID
Authors

Wu Xu, Yan Zhi, Yongsheng Yuan, Bingfeng Zhang, Yuting Shen, Hui Zhang, Kezhong Zhang, Yun Xu

Abstract

Despite a growing body of evidence suggests that abnormal iron metabolism plays an important role in the pathogenesis of Parkinson's disease (PD), few studies explored its role in non-motor symptoms (NMS) of PD. The present study aimed to investigate the relationship between abnormal iron metabolism and NMS of PD. Seventy PD patients and 64 healthy controls were consecutively recruited to compare serum iron, ceruloplasmin, ferritin, and transferrin levels. We evaluated five classic NMS, including depression, anxiety, pain, sleep disorder, and autonomic dysfunction in PD patients using the Hamilton Depression Scale (HAMD), the Hamilton Anxiety Scale (HAMA), the short form of the McGill Pain Questionnaire, the Pittsburgh Sleep Quality Index and the Scale for Outcomes in Parkinson's disease for Autonomic Symptoms, respectively. Hierarchical multiple regression analysis was used to investigate the correlations between abnormal iron metabolism and NMS. No differences in serum ceruloplasmin and ferritin levels were examined between PD patients and healthy controls, but we observed significantly decreased serum iron levels and increased serum transferrin levels in PD patients in comparison with healthy controls. After eliminating confounding factors, HAMD scores and HAMA scores were both negatively correlated with serum iron levels and positively correlated with serum transferrin levels. In summary, abnormal iron metabolism might play a crucial role in the pathogenesis of depression and anxiety in PD. Serums levels of iron and transferrin could be peripheral markers for depression and anxiety in PD.

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The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 17%
Student > Ph. D. Student 5 14%
Student > Master 3 8%
Other 2 6%
Student > Postgraduate 2 6%
Other 3 8%
Unknown 15 42%
Readers by discipline Count As %
Neuroscience 5 14%
Nursing and Health Professions 3 8%
Medicine and Dentistry 3 8%
Psychology 3 8%
Agricultural and Biological Sciences 2 6%
Other 2 6%
Unknown 18 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 May 2018.
All research outputs
#20,485,225
of 23,047,237 outputs
Outputs from Journal of Neural Transmission
#1,591
of 1,783 outputs
Outputs of similar age
#286,916
of 326,024 outputs
Outputs of similar age from Journal of Neural Transmission
#12
of 13 outputs
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