Research articleAssociation between NR4A2 genetic variation and schizophrenia: A comprehensive systematic review and meta-analysis
Introduction
Schizophrenia (SZ), a chronic, severe, and disabling brain disorder, affects approximately 1 of 100 people worldwide (about 26.3 millions of people) [41]. The underlying pathology of SZ remains unclear. Multiple hypotheses have been proposed to elucidate the pathogenic mechanism of SZ [12], [21], [31], among which, the dopamine hypothesis has been drawing growing attention during the past two decades [11].
The homo sapiens nuclear receptor subfamily 4, group A (NR4A2, also known as NURR1/NOT/TINUR/RNR-1/HZF-3), a member of the steroid/thyroid hormone nuclear receptor superfamily [40], [25], [38], plays a vital role in development, survival and functional maintenance of midbrain dopaminergic neurons [2], [7], [25], [37]. Recently, numerous studies indicated that NR4A2 might be a potential susceptibility gene for SZ. Some single nucleotide polymorphisms (SNPs) of NR4A2, which resulted in significant reduction of NR4A2 mRNA [45] and sharp decreased expression in cell density or staining intensity in the dorsolateral prefrontal cortex of SZ patients [16], were identified only in patients rather than in controls [5], [8]. The SZ patients who carried recessive genotypes of tag single nucleotide polymorphisms (SNPs) (rs1150143, rs1150144, rs834830, and rs707132) in NR4A2 showed worse performance on a sustained attention task [1]. Thus, we reasonably hypothesize that NR4A2 gene mutation induces gene expression as well as dopamine-related dysfunction and abnormal behavior of SZ afterwards. The same observations were made in animal research as well, and NR4A2 heterozygous (+/−) mice has been suggested as a potential animal model for the studies on some of the behavioral and molecular mechanisms underlying SZ [43], [35].
However, the results are inconsistent. Some other studies did not support the notion that NR4A2 gene played a major role in risk of SZ [14], [23], [36]. Whether the NR4A2 gene mutation is a risk factor for SZ remains conflicting. Therefore, we conducted a systematic review and meta-analysis by combining all the available studies to evaluate the overall effect between them in the present study.
Section snippets
Search strategy
The systematic review was conducted according to PRISMA (preferred reporting items for systematic reviews and meta-analyses) statement [32]. PubMed OVID, EBSCO, PsycINFO and ISI Web of Knowledge were searched up to September 2014 by two investigators independently using the following search terms: (“nuclear receptor subfamily 4, group A, member 2” or “nuclear receptor related 1” or “NURR1” or “NR4A2” or “TINUR” or “RNR-1” or “HZF-3”) and “schizophrenia”. Reference lists and supplemental
Study characteristics and quality
A total of 154 potentially relevant studies were retrieved with the initial search, and 1 study was obtained manually through reference lists. Nine studies were identified meeting the criteria [1], [5], [6], [8], [22], [23], [34], [36], [39], [44]. Two studies were discarded after further scrutiny because the genotype/allele distribution could not be obtained directly, calculated from the text or supplied by the authors [34], [39]. Thus, a total of 7 studies [1], [5], [6], [8], [22], [23], [36]
Discussion
In this study, we conducted a comprehensive literature search and included 7 studies with a total of 3027 participants to explore the association between NR4A2 gene variation and SZ risk. We systematically summarized all the genotype distribution of 17 genetic variants that have been reported up to now, and made a comprehensive meta-analysis of the 3 available variants (rs35479735, rs397706674 and rs3832066). Our quantitative analysis failed to reveal significant association based on the
Conclusions
In conclusion, we made a comprehensive systematic review and meta-analysis to explore the association between NR4A2 variation and SZ risk. We found five variants were present only in SZ patients, nevertheless we failed to reveal significant association between the available three SNPs and SZ risk based on current evidences. Thus, large-sized and well-designed studies with involvement of various genes and/or environment are warranted to validate our findings.
Conflict of interest
The authors certify no conflict of interest related to this study.
Contributors
Conceived and designed the mauscript: Hongmei Liu; Searched for and selected the publications: Hongbo Liu Hongmei Liu; Extract and analyzed the data: Yingmei Fu, Juanjuan Ren; Prepare figures: Juanjuan Ren Hongmei Liu; Contributed materials/analysis tools: Shunying Yu, Ping Jiang; Wrote and revised the paper: Hongmei Liu Juanjuan Ren Yi Dong; Supervised the study: Huafang Li. All authors contributed to and had approved the final manuscript.
Acknowledgements
We would like to thank Dr. Vishwajit L. Nimgaonkar for kindly reply to our request for the data necessary for the meta-analysis, and thank Dr. Qingzhong Wang for help with data analysis. This work was supported partly by Grant from the Shanghai Key Laboratory of Psychotic Disorders (13dz2260500), National Major Project for IND (2012ZX09303-003), and Shanghai Health Talent Professional Project (XBR2011049) for Huafang Li, and Shanghai Natural Science Fund Project (14ZR1435700) and Shanghai
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