Zinc Finger Protein 259 (ZNF259) Polymorphisms are Associated with the Risk of Metabolic Syndrome in a Han Chinese Population

Wu, Yanhua; Yu, S. B.; Wang, Shibin; Shi, Jieping; Xu, Ziqi; Zhang, Qingqing; Fu, Yingli; Qi, Yue; Liu, Jianwei; Fu, Rao; Kou, Changgui; Yu, Yaqin

doi:10.7754/clin.lab.2014.141138

Cited by 11 publications

(14 citation statements)

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“…Firstly, the threshold criteria for MetS, WC, etc. might be different in different studies [21,28,29,30]. Secondly, the climate of residence to survey population usually requires a special diet such as eating more animal fat, more salt and fewer fresh vegetables, while the diet patterns are believed to be associated with different degrees of MetS prevalence, and lower salt intake can reduce MetS [31,32,33].…”

Section: Discussionmentioning

confidence: 99%

“…diabetes mellitus (DM) was defined as the use of hypoglycemic agents or a self-reported history of DM or FBG of 7.0 mmol/L or more [20]. MetS was defined as three or more of the following conditions clustered in one subject: (a) WC ≥ 85 cm for males or ≥80 cm for females; (b) TG ≥ 1.7 mmol/L or ongoing hypertriglyceridemia treatment; (c) HDL-C < 1.0 mmol/L for males or <1.3 mmol/L for females, or ongoing treatment; (d) SBP ≥ 130 mmHg and DBP ≥ 85 mm Hg, or ongoing antihypertensive drug therapy; and (e) FBG ≥ 5.6 mmol/L or ongoing anti-diabetic drug treatment [21,22]. The optimal cut-off values of obesity indices recommended by others studies [23,24,25] as well as the present studies were listed in Table 1, where subscript “0/1” denoted normal/abnormal for the index.…”

Section: Methodsmentioning

confidence: 99%

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Comparison of the Combined Obesity Indices to Predict Cardiovascular Diseases Risk Factors and Metabolic Syndrome in Northeast China

Tao

Tao³

et al. 2016

IJERPH

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Background: Obesity is associated with cardiovascular disease (CVD) risk factors (hypertension, dyslipidemia and diabetes) and metabolic syndrome (MetS), and it may be flawed that most studies only use one obesity index to predict these risk factors. Therefore, our study aims to compare the various combined obesity indices systematically, and to find the optimal combined obesity indices to predict CVD risk factors and MetS. Methods: A total of 16,766 participants aged 18–79 years old were recruited in Jilin Province in 2012. Receiver operating characteristic curve (ROC) curves and multiple logistic regressions were used to evaluate the predictive capacity of the combined obesity indices for CVD risk factors and MetS. Results: The adjusted area under receiver operating characteristic (AUROC) with two combined obesity indices had been improved up to 19.45%, compared with one single obesity index. In addition, body mass index (BMI) and waist circumference (WC) were the optimal combinations, where the AUROC (95% confidence interval (CI)) for hypertension, dyslipidemia, diabetes and MetS in males were 0.730 (0.718, 0.740), 0.694 (0.682, 0.706), 0.725 (0.709, 0.742) and 0.820 (0.810, 0.830), and in females were 0.790 (0.780, 0.799), 0.727 (0.717, 0.738), 0.746 (0.731, 0.761) and 0.828 (0.820, 0.837), respectively. Conclusions: The more abnormal obesity indices that one has the higher the risk for CVD risk factors and MetS, especially in males. In addition, the combined obesity indices have better predictions than one obesity index, where BMI and WC are the optimal combinations.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Comparison of the Combined Obesity Indices to Predict Cardiovascular Diseases Risk Factors and Metabolic Syndrome in Northeast China

Tao

Tao³

et al. 2016

IJERPH

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“…This multisystem syndrome was the ZPR1 polymorphism rs964184C>G is associated with increased plasma triglyceride levels, [25][26][27] increased LDL cholesterol and decreased HDL cholesterol, 28 and increased risk of developing metabolic syndrome, although the precise molecular mechanism is unknown. 29,30 ZPR1 is a highly conserved protein with 2 ZnF motifs and 2 larger modular domains ( Figure 3A). The c.587T>C mutation lies outside of both ZnF motifs in a domain that has been shown to bind to eEF-1α.…”

Section: Discussionmentioning

confidence: 99%

A ZPR1 mutation is associated with a novel syndrome of growth restriction, distinct craniofacial features, alopecia, and hypoplastic kidneys

et al. 2018

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A novel autosomal recessive disorder characterized by pre- and postnatal growth restriction with microcephaly, distinctive craniofacial features, congenital alopecia, hypoplastic kidneys with renal insufficiency, global developmental delay, severe congenital sensorineural hearing loss, early mortality, hydrocephalus, and genital hypoplasia was observed in 4 children from 3 families of New Mexican Hispanic heritage. Three of the children died before 3 years of age from uremia and/or sepsis. Exome sequencing of the surviving individual identified a homozygous c.587T>C (p.Ile196Thr) mutation in ZPR1 Zinc Finger (ZPR1) that segregated appropriately in her family. In a second family, the identical variant was shown to be heterozygous in the affected individual's parents and not homozygous in any of her unaffected siblings. ZPR1 is a ubiquitously expressed, highly conserved protein postulated to transmit proliferative signals from the cell membrane to the nucleus. Structural modeling reveals that p.Ile196Thr disrupts the hydrophobic core of ZPR1. Patient fibroblast cells showed no detectable levels of ZPR1 and the cells showed a defect in cell cycle progression where a significant number of cells remained arrested in the G1 phase. We provide genetic and molecular evidence that a homozygous missense mutation in ZPR1 is associated with a rare and recognizable multisystem syndrome.

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“…Tag SNPs were selected from the Han Chinese data in Haploview (http://hapmap.ncbi.nlm.nih.gov/). Other functional or well-studied SNPs were simultaneously selected based on previous studies (Wu et al 2015;Wu et al 2016) that have documented associations between SNPs in the APOA1/C3/A4/A5-ZPR1-BUD13 gene cluster and lipid levels.…”

Section: Snp Selectionmentioning

confidence: 99%

“…Functional SNP may influence gene and protein expression. This study assessed the association of tag and well-studied SNPs (APOA1 rs5072, APOC3 rs5128, APOA4 rs5104, APOA5 rs651821, ZPR1 rs2075294 and BUD13 rs10488698) selected from the Han Chinese data in Haploview (http://hapmap.ncbi.nlm.nih.gov/) and based on previous studies (Wu et al 2015;Wu et al 2016) with dyslipidemia in the overall sample and stratified by genders in a large sample from a Han Chinese population.…”

Section: Introductionmentioning

confidence: 99%

Peer Review #2 of "Functional polymorphisms of the APOA1/C3/A4/A5-ZPR1-BUD13 gene cluster are associated with dyslipidemia in a sex-specific pattern (v0.1)"

2019

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Background. Dyslipidemia contributes to the risk of many diseases, including stroke, cardiovascular disease and metabolic-related diseases. Previous studies have indicated that single nucleotide polymorphisms (SNPs) are associated with different levels of serum lipid. Therefore, this study explored the relationship between the APOA1/C3/A4/A5-ZPR1-BUD13 gene cluster gene polymorphisms and dyslipidemia in the total sample population and stratified by genders in a northeast Chinese population. Methods. A total of 3850 participants from Jilin Province, China, were enrolled in our study, and their serum lipid levels were measured. Six functional SNPs (APOA1 rs5072, APOC3 rs5128, APOA4 rs5104, APOA5 rs651821, ZPR1 rs2075294 and BUD13 rs10488698) were genotyped using polymerase chain reaction and MALDI-TOF-MS. Logistic regression analysis was performed to explore the relationship of APOA1/C3/A4/A5-ZPR1-BUD13 gene cluster gene polymorphisms with dyslipidemia. Linkage disequilibrium and haplotype analyses were performed with SNPStats program and Haploview software. Results. All SNPs conformed to Hardy-Weinberg Equilibrium. Logistic regression analysis revealed that rs5072, rs5128 and rs651821 were associated with hypertriglyceridemia, rs5104 and rs651821 were associated with low-HDL cholesterolemia in overall group. rs651821 was associated with hypertriglyceridemia and low-HDL cholesterolemia in both the male and female group. However, among females, rs5072 was observed to be associated with hypertriglyceridemia. Haplotype analysis showed that haplotypes TGCCGC and CAGCGC were associated with dyslipidemia in the overall, male and female groups. Conclusion. SNPs in the APOA1/C3/A4/A5-ZPR1-BUD13 gene cluster were associated with dyslipidemia. Furthermore, the association of APOA1 rs5072 in this gene cluster with dyslipidemia differed between genders; thus, additional studies are needed to confirm this conclusion, and the mechanisms underlying these results warrant further exploration.

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Zinc Finger Protein 259 (ZNF259) Polymorphisms are Associated with the Risk of Metabolic Syndrome in a Han Chinese Population

Cited by 11 publications

References 0 publications

Comparison of the Combined Obesity Indices to Predict Cardiovascular Diseases Risk Factors and Metabolic Syndrome in Northeast China

Comparison of the Combined Obesity Indices to Predict Cardiovascular Diseases Risk Factors and Metabolic Syndrome in Northeast China

A ZPR1 mutation is associated with a novel syndrome of growth restriction, distinct craniofacial features, alopecia, and hypoplastic kidneys

Peer Review #2 of "Functional polymorphisms of the APOA1/C3/A4/A5-ZPR1-BUD13 gene cluster are associated with dyslipidemia in a sex-specific pattern (v0.1)"

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