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Original Research

Elevated circulating magnesium levels in patients with Parkinson’s disease: a meta-analysis

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Pages 3159-3168 | Published online: 19 Nov 2018
 

Abstract

Background

The association between circulating magnesium (Mg) and Parkinson’s disease (PD) remains ambiguous and controversial. Thus, a meta-analysis was conducted to evaluate the circulating Mg levels in PD patients and to clarify whether high circulating Mg levels should be considered as a potential risk factor for PD.

Methods

In this study, 17 case–control published studies were selected in our meta-analysis by searching the electronic databases of Web of Science, PubMed, and China National Knowledge Infrastructure (CNKI) before June 1, 2018. Overall, 848 PD cases and 784 healthy controls (HC), 1,023 PD cases and 911 HC, and 180 PD cases and 144 HC met the inclusion criteria for this study Mg levels in serum, peripheral blood, and cerebrospinal fluid (CSF), respectively. Standardized mean difference (SMD) in random-effects model and 95% CI were used to assess the correlation strength through the comparison of the two groups.

Results

Meta-analysis showed that the serum Mg levels in PD cases were significantly higher than those in HC individuals (SMD =1.09, 95% CI =0.52, 1.66). Furthermore, this result was further confirmed by the combined analysis of serum and whole blood studies together (SMD =0.64, 95% CI =0.10, 1.19). In addition, the higher CSF Mg levels in patients of PD were observed in comparison with normal range (SMD =0.55, 95% CI =0.21, 0.88). However, this data did not further discuss and analyze because of the smaller sample size of CSF studies.

Conclusion

Our findings supported the notion that the increase of circulating Mg levels appears in the patients with PD.

Acknowledgments

This work was funded by the National High Technology Research and Development Program of China (2018ZX09711001-008-006), Scientific Research Fund of Liaoning Provincial Education Department (Grant Number: LK201608), National Natural Science Foundation of China (Grant Number: 81501098, 81603112, and 81803751), Program for Liaoning Innovation Research Team in University (Grant Number: LT2014016), Key Laboratory Foundation from Shenyang S&T Projects (Grant Number: F16-094-1-00), Double Hundred Program for Shenyang Scientific and Technological Innovation Projects (Grant Number: 100040), Liaoning Province Scientific Research Foundation (Grant Number: 2014226033), and National Science and Technology Major Projects for Significant New Drugs Development (Grant Number: 2017ZX09101003-008-006).

Author contributions

All authors contributed to data analysis, drafting or revising the article, gave final approval of the version to be published, and agree to be accountable for all aspects of the work.

Disclosure

The authors report no conflicts of interest in this work.