Association of ADIPOQ polymorphisms with obesity risk: A meta-analysis
Introduction
Adiponectin is an important hormone of adipose tissue-derived. It represents a possible connection between obesity and insulin resistance [1], [2]. The circulating levels of adiponectin are decreased in patients with obesity and type 2 diabetes mellitus (T2DM) [3], [4]. Studies have demonstrated that patients with reduced adipose tissue mass markedly increased adiponectin levels [5], [6], [7]. The plasma levels of adiponectin are partly influenced by genetic factors, which account for about 40–70% [8]. The adiponectin (ADIPOQ) gene locates at chromosome 3 at q27, and spans 16 kb with three exons [9]. Recently, Dastani et al. [10] identified 10 loci associated with adiponectin levels, including ADIPOQ gene. In addition, they also revealed that mRNA levels of ADIPOQ were associated with plasma adiponectin levels. Moreover, Mente et al. [11] indicated that there was causal relationship between adiponectin and metabolic traits, and the rs266729 minor G allele of ADIPOQ was associated with lower adiponectin levels.
Epidemiological studies indicated that single-nucleotide polymorphisms (SNPs) and some haplotypes of ADIPOQ gene were associated with obesity risk in some ethnic populations, but these results were controversial [12]. The discrepancy might partly due to the ethnic specificity, the difference of entry criteria of subjects, limited number of subjects in each study. Previously, Yu et al. [13] systematic reviewed the association of ADIPOQ polymorphisms with the risk of obesity. However, the included articles were less, with the maximum number of included studies of three. In addition, only English studies included, the potential published bias will undermine the credibility of the pooling results. Thus, the conclusions of their study were unreliable and need to further analysis. In the present study, we performed a comprehensive meta-analysis to further evaluate the association between ADIPOQ polymorphisms and the risk of obesity.
Section snippets
Search strategy and study selection
All methods of this study were in accordance with the guidelines proposed by the Human Genome Epidemiology Network for systematic review of genetic-association studies and follow PRISMA guidelines [14]. A systematic literature search on PubMed, Embase, the Cochrane Library, Google Scholar databases, Chinese National Knowledge Infrastructure (CNKI) and conference proceedings were used to identify published genetic association studies that evaluating ADIPOQ polymorphisms with obesity risk in
Study selection process
The initial search yielded 54 studies. Through screening the titles and abstracts, 16 studies were excluded because they were review articles, animal studies, not a case–control design study or irrelevant to current analysis. Next by screening the full text for the remaining 38 studies, 20 studies were excluded. Among the 20 excluded studies, 10 explored by less than three publications, 6 did not provide the sufficient data of genotype frequency, 4 reported the same results of ADIPOQ
Discussion
Adiponectin has a variety of metabolic effects on obesity, insulin sensitivity and atherosclerosis. Two genome-wide association study (GWAS) studies have identified several SNPs that located within ADIPOQ can influence the serum levels of adiponectin [10], [39]. SNPs of ADIPOQ have been reported to be associated with metabolic traits, including HDL-C, triglycerides, total cholesterol, LDL-cholesterol, and waist-hip ratio [40], [41]. The four most common ADIPOQ SNPs are rs17300539 (−11391G>A),
Acknowledgment
This work benefitted from the helpful comments of the anonymous reviewers.
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2023, Journal of King Saud University - ScienceAssociation of the ADIPOQ-AS LncRNA polymorphism rs2241766 with obesity: A Meta-analysis
2022, Human GeneCitation Excerpt :SNP rs2241766 genotypes were reported to associate with decreasing levels of plasma adiponectin, developing obesity, T2D, and insulin disfunction, but its functional mechanism has not yet been elucidated (Ji et al., 2018; Elghazy et al., 2019). Prior studies (Wu et al., 2014; Lu et al., 2014) systematically evaluated the association of rs2241766 with the risk of obesity, and reported contradictory results. Since 2016, many case-control studies investigating the relationship between rs2241766 polymorphism and obesity have been conducted worldwide, but findings have been persistently conflicting in different ethnic and regional populations.
Association of LEP-rs7799039 and ADIPOQ-rs2241766 polymorphisms with sleep duration in preschool age children
2020, Sleep MedicineCitation Excerpt :Although the relationship between adipokines and sleep has not been clearly established in the literature, genetic predisposition is another factor potentially associated with adipokines that should be mentioned [37,38]. Variations in the LEP and ADIPOQ genes have been described to be associated with modifications in the expression and synthesis of the adipokines leptin and adiponectin, respectively [37,38]. In the case of a variation in these adipokines, leptin, and adiponectin exert a strong influence on the nutritional status of the individual, contributing to the development of excess body weight [40,69,70] and, subsequently, to sleep deprivation [54].
Polyphenols and nutrigenetic/nutrigenomic associations with obesity-related metabolic diseases
2019, Principles of Nutrigenetics and Nutrigenomics: Fundamentals of Individualized NutritionAdiponectin gene variants and decreased adiponectin plasma levels are associated with the risk of myocardial infarction in young age
2018, GeneCitation Excerpt :Nevertheless, meta-analysis of global studies showed that the associations between rs1501299:G > T as well as rs2241766:G > T (45G/T) and rs266729:C > G (11377C/G) variants in the ADIPOQ gene and cardiovascular risk were significant, though relatively weak (Zhang H et al., 2012). There are data clearly indicating the association of some ADIPOQ gene variants (rs1501299:G > T, rs17300539:G > A, rs17366743:T > C, rs822387:T > C, rs2241766:G > T) with CAD risk factors such as metabolic syndrome, DM2 or obesity (Gao et al., 2013; Lu et al., 2014; Kasim et al., 2016; Peters et al., 2013). There are also other interesting ADIPOQ variants, like rs17366743:T > C or rs72563731:C > T, associated with higher serum adiponectin levels, particularly in obese adolescent patients, not investigated for CAD risk (Nascimento et al., 2016; Hivert et al., 2008).
Association of the ADIPOQ Rs2241766 and Rs266729 Polymorphisms with Metabolic Syndrome in the Chinese Population: A Meta-analysis
2016, Biomedical and Environmental Sciences
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These authors contributed equally to this work.