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Authors Jin X, Liu MY, Zhang DF, Gao H, Wei MJ
Received 2 September 2018
Accepted for publication 15 October 2018
Published 19 November 2018 Volume 2018:14 Pages 3159—3168
DOI https://doi.org/10.2147/NDT.S186209
Checked for plagiarism Yes
Review by Single-blind
Peer reviewers approved by Dr Andrew Yee
Peer reviewer comments 2
Editor who approved publication: Dr Yu-Ping Ning
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.
Keywords: magnesium,
serum, peripheral blood, CSF, Parkinson’s disease, meta-analysis