RESEARCH ARTICLE
Interactions of Environmental Factors and APOA1-APOC3-APOA4-APOA5 Gene Cluster Gene Polymorphisms with Metabolic Syndrome Yanhua Wu1,2, Yaqin Yu1, Tiancheng Zhao3, Shibin Wang1, Yingli Fu1, Yue Qi1, Guang Yang1, Wenwang Yao1, Yingying Su1, Yue Ma1, Jieping Shi1, Jing Jiang2*, Changgui Kou1* 1 Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Street, Changchun, 130021, Jilin province, China, 2 Division of Clinical Epidemiology, First Hospital of Jilin University, Changchun, Jilin, 130021, China, 3 Department of Endoscopy Center, China-Japan Union Hospital of Jilin University, Changchun, Jilin, 130021, China
a11111
* [email protected] (CGK); [email protected] (JJ)
Abstract Objective OPEN ACCESS Citation: Wu Y, Yu Y, Zhao T, Wang S, Fu Y, Qi Y, et al. (2016) Interactions of Environmental Factors and APOA1-APOC3-APOA4-APOA5 Gene Cluster Gene Polymorphisms with Metabolic Syndrome. PLoS ONE 11(1): e0147946. doi:10.1371/journal.pone.0147946 Editor: Huiping Zhang, Yale University, UNITED STATES Received: September 17, 2015 Accepted: January 11, 2016 Published: January 29, 2016 Copyright: © 2016 Wu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Data Availability Statement: All relevant data are within the paper. Funding: This research was supported by grant 2011Z116 from the scientific research foundation of Jilin Provincial Health Department, China. Competing Interests: The authors have declared that no competing interests exist.
The present study investigated the prevalence and risk factors for Metabolic syndrome. We evaluated the association between single nucleotide polymorphisms (SNPs) in the apolipoprotein APOA1/C3/A4/A5 gene cluster and the MetS risk and analyzed the interactions of environmental factors and APOA1/C3/A4/A5 gene cluster polymorphisms with MetS.
Methods A study on the prevalence and risk factors for MetS was conducted using data from a large cross-sectional survey representative of the population of Jilin Province situated in northeastern China. A total of 16,831 participations were randomly chosen by multistage stratified cluster sampling of residents aged from 18 to 79 years in all nine administrative areas of the province. Environmental factors associated with MetS were examined using univariate and multivariate logistic regression analyses based on the weighted sample data. A subsample of 1813 survey subjects who met the criteria for MetS patients and 2037 controls from this case-control study were used to evaluate the association between SNPs and MetS risk. Genomic DNA was extracted from peripheral blood lymphocytes, and SNP genotyping was determined by MALDI-TOF-MS. The associations between SNPs and MetS were examined using a case-control study design. The interactions of environmental factors and APOA1/C3/A4/A5 gene cluster polymorphisms with MetS were assessed using multivariate logistic regression analysis.
Results The overall adjusted prevalence of MetS was 32.86% in Jilin province. The prevalence of MetS in men was 36.64%, which was significantly higher than the prevalence in women
PLOS ONE | DOI:10.1371/journal.pone.0147946 January 29, 2016
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Environmental Factors and APOA1/C3/A4/A5 Gene Cluster with MetS
(29.66%). MetS was more common in urban areas (33.86%) than in rural areas (31.80%). The prevalence of MetS significantly increased with age (OR = 8.621, 95%CI = 6.594– 11.272). Mental labor (OR = 1.098, 95%CI = 1.008–1.195), current smoking (OR = 1.259, 95%CI = 1.108–1.429), excess salt intake (OR = 1.252, 95%CI = 1.149–1.363), and a fruit and dairy intake less than 2 servings a week were positively associated with MetS (PC and c.56C>G polymorphisms on lipids, dyslipidemia and metabolic syndrome in Turkish adults. Clin Chem Lab Med 46: 778–784. doi: 10.1515/ CCLM.2008.161 PMID: 18601598
61.
Song KH, Cha S, Yu SG, Yu H, Oh SA, Kang NS (2013) Association of apolipoprotein A5 gene -1131T>C polymorphism with the risk of metabolic syndrome in Korean subjects. Biomed Res Int 2013: 585134. doi: 10.1155/2013/585134 PMID: 23509746
PLOS ONE | DOI:10.1371/journal.pone.0147946 January 29, 2016
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Environmental Factors and APOA1/C3/A4/A5 Gene Cluster with MetS
62.
Xu C, Bai R, Zhang D, Li Z, Zhu H, Lai M, et al. (2013) Effects of APOA5 -1131T>C (rs662799) on fasting plasma lipids and risk of metabolic syndrome: evidence from a case-control study in China and a meta-analysis. PLoS One 8: e56216. doi: 10.1371/journal.pone.0056216 PMID: 23468858
63.
Volcik KA, Ballantyne CM, Fuchs FD, Sharrett AR, Boerwinkle E (2008) Relationship of alcohol consumption and type of alcoholic beverage consumed with plasma lipid levels: differences between Whites and African Americans of the ARIC study. Ann Epidemiol 18: 101–107. PMID: 17855114
64.
Ruidavets JB, Ducimetiere P, Arveiler D, Amouyel P, Bingham A, Wagner A, et al. (2002) Types of alcoholic beverages and blood lipids in a French population. J Epidemiol Community Health 56: 24–28. PMID: 11801616
65.
Yin RX, Li YY, Wu JZ, Pan SL, Liu CW, Lin WX, et al. (2013) Interactions between the apolipoprotein a1/c3/a5 haplotypes and alcohol consumption on serum lipid levels. Alcohol Clin Exp Res 37: 234– 243. doi: 10.1111/j.1530-0277.2012.01918.x PMID: 22924697
PLOS ONE | DOI:10.1371/journal.pone.0147946 January 29, 2016
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Interactions of Environmental Factors and APOA1-APOC3-APOA4-APOA5 Gene Cluster Gene Polymorphisms with Metabolic Syndrome Yanhua Wu1,2, Yaqin Yu1, Tiancheng Zhao3, Shibin Wang1, Yingli Fu1, Yue Qi1, Guang Yang1, Wenwang Yao1, Yingying Su1, Yue Ma1, Jieping Shi1, Jing Jiang2*, Changgui Kou1* 1 Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Street, Changchun, 130021, Jilin province, China, 2 Division of Clinical Epidemiology, First Hospital of Jilin University, Changchun, Jilin, 130021, China, 3 Department of Endoscopy Center, China-Japan Union Hospital of Jilin University, Changchun, Jilin, 130021, China
a11111
* [email protected] (CGK); [email protected] (JJ)
Abstract Objective OPEN ACCESS Citation: Wu Y, Yu Y, Zhao T, Wang S, Fu Y, Qi Y, et al. (2016) Interactions of Environmental Factors and APOA1-APOC3-APOA4-APOA5 Gene Cluster Gene Polymorphisms with Metabolic Syndrome. PLoS ONE 11(1): e0147946. doi:10.1371/journal.pone.0147946 Editor: Huiping Zhang, Yale University, UNITED STATES Received: September 17, 2015 Accepted: January 11, 2016 Published: January 29, 2016 Copyright: © 2016 Wu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Data Availability Statement: All relevant data are within the paper. Funding: This research was supported by grant 2011Z116 from the scientific research foundation of Jilin Provincial Health Department, China. Competing Interests: The authors have declared that no competing interests exist.
The present study investigated the prevalence and risk factors for Metabolic syndrome. We evaluated the association between single nucleotide polymorphisms (SNPs) in the apolipoprotein APOA1/C3/A4/A5 gene cluster and the MetS risk and analyzed the interactions of environmental factors and APOA1/C3/A4/A5 gene cluster polymorphisms with MetS.
Methods A study on the prevalence and risk factors for MetS was conducted using data from a large cross-sectional survey representative of the population of Jilin Province situated in northeastern China. A total of 16,831 participations were randomly chosen by multistage stratified cluster sampling of residents aged from 18 to 79 years in all nine administrative areas of the province. Environmental factors associated with MetS were examined using univariate and multivariate logistic regression analyses based on the weighted sample data. A subsample of 1813 survey subjects who met the criteria for MetS patients and 2037 controls from this case-control study were used to evaluate the association between SNPs and MetS risk. Genomic DNA was extracted from peripheral blood lymphocytes, and SNP genotyping was determined by MALDI-TOF-MS. The associations between SNPs and MetS were examined using a case-control study design. The interactions of environmental factors and APOA1/C3/A4/A5 gene cluster polymorphisms with MetS were assessed using multivariate logistic regression analysis.
Results The overall adjusted prevalence of MetS was 32.86% in Jilin province. The prevalence of MetS in men was 36.64%, which was significantly higher than the prevalence in women
PLOS ONE | DOI:10.1371/journal.pone.0147946 January 29, 2016
1 / 17
Environmental Factors and APOA1/C3/A4/A5 Gene Cluster with MetS
(29.66%). MetS was more common in urban areas (33.86%) than in rural areas (31.80%). The prevalence of MetS significantly increased with age (OR = 8.621, 95%CI = 6.594– 11.272). Mental labor (OR = 1.098, 95%CI = 1.008–1.195), current smoking (OR = 1.259, 95%CI = 1.108–1.429), excess salt intake (OR = 1.252, 95%CI = 1.149–1.363), and a fruit and dairy intake less than 2 servings a week were positively associated with MetS (PC and c.56C>G polymorphisms on lipids, dyslipidemia and metabolic syndrome in Turkish adults. Clin Chem Lab Med 46: 778–784. doi: 10.1515/ CCLM.2008.161 PMID: 18601598
61.
Song KH, Cha S, Yu SG, Yu H, Oh SA, Kang NS (2013) Association of apolipoprotein A5 gene -1131T>C polymorphism with the risk of metabolic syndrome in Korean subjects. Biomed Res Int 2013: 585134. doi: 10.1155/2013/585134 PMID: 23509746
PLOS ONE | DOI:10.1371/journal.pone.0147946 January 29, 2016
16 / 17
Environmental Factors and APOA1/C3/A4/A5 Gene Cluster with MetS
62.
Xu C, Bai R, Zhang D, Li Z, Zhu H, Lai M, et al. (2013) Effects of APOA5 -1131T>C (rs662799) on fasting plasma lipids and risk of metabolic syndrome: evidence from a case-control study in China and a meta-analysis. PLoS One 8: e56216. doi: 10.1371/journal.pone.0056216 PMID: 23468858
63.
Volcik KA, Ballantyne CM, Fuchs FD, Sharrett AR, Boerwinkle E (2008) Relationship of alcohol consumption and type of alcoholic beverage consumed with plasma lipid levels: differences between Whites and African Americans of the ARIC study. Ann Epidemiol 18: 101–107. PMID: 17855114
64.
Ruidavets JB, Ducimetiere P, Arveiler D, Amouyel P, Bingham A, Wagner A, et al. (2002) Types of alcoholic beverages and blood lipids in a French population. J Epidemiol Community Health 56: 24–28. PMID: 11801616
65.
Yin RX, Li YY, Wu JZ, Pan SL, Liu CW, Lin WX, et al. (2013) Interactions between the apolipoprotein a1/c3/a5 haplotypes and alcohol consumption on serum lipid levels. Alcohol Clin Exp Res 37: 234– 243. doi: 10.1111/j.1530-0277.2012.01918.x PMID: 22924697
PLOS ONE | DOI:10.1371/journal.pone.0147946 January 29, 2016
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