Association between lipoprotein lipase gene polymorphisms and cardiovascular disease risk factors in European adolescents: The Healthy Lifestyle in Europe by Nutrition in Adolescence study.


Journal

Pediatric diabetes
ISSN: 1399-5448
Titre abrégé: Pediatr Diabetes
Pays: Denmark
ID NLM: 100939345

Informations de publication

Date de publication:
08 2020
Historique:
received: 27 12 2019
revised: 15 03 2020
accepted: 22 04 2020
pubmed: 26 4 2020
medline: 15 7 2021
entrez: 26 4 2020
Statut: ppublish

Résumé

To examine the association of lipoprotein lipase (LPL) polymorphisms with cardiovascular disease (CVD) risk factors in European adolescents, along with the influence of physical activity on these associations. A total of 13 LPL polymorphisms were genotyped in 1.057 European adolescents (12-18 years old) from the Healthy Lifestyle in Europe by Nutrition in Adolescence Cross-Sectional Study. Serum lipids, glucose, insulin, and leptin (LEP) levels were measured and a CVD risk score was computed. We also measured body weight and height, waist and hip circumferences, and triceps and subscapular skinfold thickness. Physical activity was objectively measured by accelerometry for 7 days. The rs1534649, rs258, rs320, and rs328 polymorphisms were associated with several CVD risk factors (ie, body mass index, triglycerides [TG], LEP, and cholesterol/high-density lipoprotein [HDL], low-density lipoprotein [LDL]/HDL, TG/HDL ratios). TG and TG/HDL were associated with haplotype blocks 3 (rs282, rs285 polymorphisms) and 4 (rs3126, rs320, rs328, rs10099160 polymorphisms), being the latter also associated with the CVD risk score. Physical activity modulated the association of adiposity with rs1534649 and rs258 polymorphisms. Polymorphisms rs1534649, rs258, rs320 and rs328, and two haplotypes of LPL were significantly associated with CVD risk factors in European adolescents. Higher levels of moderate to vigorous physical activity may attenuate the effects of rs1534649 and rs258 polymorphisms on adiposity.

Identifiants

pubmed: 32333632
doi: 10.1111/pedi.13035
doi:

Substances chimiques

Lipoprotein Lipase EC 3.1.1.34

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

747-757

Informations de copyright

© 2020 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Références

(WHO) TWHO. Cardiovascular diseases.
Farooqi IS, O'Rahilly S. Genetics of obesity in humans. Endocr Rev. 2006;27(7):710-718. https://doi.org/10.1210/er.2006-0040.
Scuteri A, Sanna S, Chen WM, et al. Genome-wide association scan shows genetic variants in the FTO gene are associated with obesity-related traits. PLoS Genet. 2007;3(7):1200-1210. https://doi.org/10.1371/journal.pgen.0030115.
Vogel CIG, Boes T, Reinehr T, et al. Common variants near MC4R: exploring gender effects in overweight and obese children and adolescents participating in a lifestyle intervention. Obes Facts. 2011;4(1):67-75. https://doi.org/10.1159/000324557.
Physical Activity and Cardiovascular Health. NIH consensus development panel on physical activity and cardiovascular health. JAMA. 1996;276(3):241-246.
Smith JK. Exercise and atherogenesis. Exerc Sport Sci Rev. 2001;29(2):49-53. https://doi.org/10.1097/00003677-200104000-00002.
Blair SN, Kampert JB, Kohl HW 3rd, et al. Influences of cardiorespiratory fitness and other precursors on cardiovascular disease and all-cause mortality in men and women. JAMA. 1996;276(3):205-210.
Ruiz JR, Labayen I, Ortega FB, et al. Attenuation of the effect of the FTO rs9939609 polymorphism on total and central body fat by physical activity in adolescents: the HELENA study. Arch Pediatr Adolesc Med. 2010;164(4):328-333. https://doi.org/10.1001/archpediatrics.2010.29.
Pascual-Gamarra JM, Salazar-Tortosa D, Martinez-Tellez B, et al. Association between UCP1, UCP2, and UCP3 gene polymorphisms with markers of adiposity in European adolescents: the HELENA study. Pediatr Obes. 2019;14(6):e12504. https://doi.org/10.1111/ijpo.12504.
Stein Y, Stein O. Lipoprotein lipase and atherosclerosis. Atherosclerosis. 2003;170(1):1-9. https://doi.org/10.1016/S0021-9150(03)00014-5.
Gotto AM. Triglyceride as a risk factor for coronary artery disease. Am J Cardiol. 1998;82(9A):22Q-25Q. https://doi.org/10.1093/oxfordjournals.aje.a115130.
Brown MS, Goldstein JL. A receptor-mediated pathway for cholesterol homeostasis. Science. 1986;232(4746):34-47. https://doi.org/10.1126/science.3513311.
Okubo M, Horinishi A, Saito M, et al. A novel complex deletion-insertion mutation mediated by Alu repetitive elements leads to lipoprotein lipase deficiency. Mol Genet Metab. 2007;92(3):229-233. https://doi.org/10.1016/j.ymgme.2007.06.018.
Mead JR, Irvine SA, Ramji DP. Lipoprotein lipase: structure, function, regulation, and role in disease. J Mol Med (Berl). 2002;80(12):753-769. https://doi.org/10.1007/s00109-002-0384-9.
Zhang X, Johnson AD, Hendricks AE, et al. Genetic associations with expression for genes implicated in GWAS studies for atherosclerotic cardiovascular disease and blood phenotypes. Hum Mol Genet. 2014;23(3):795-782. https://doi.org/10.1093/hmg/ddt461.
Cahua-Pablo JÁ, Cruz M, Méndez-Palacios A, et al. Polymorphisms in the LPL and CETP genes and haplotype in the ESR1 gene are associated with metabolic syndrome in women from Southwestern Mexico. Int J Mol Sci. 2015;16(9):21539-21554. https://doi.org/10.3390/ijms160921539.
Shimo-Nakanishi Y, Urabe T, Hattori N, et al. Polymorphism of the lipoprotein lipase gene and risk of atherothrombotic cerebral infarction in the Japanese. Stroke. 2001;32(7):1481-1486.
Nejati M, Atlasi MA, Karimian M, Nikzad H, Azami TA. Lipoprotein lipase gene polymorphisms as risk factors for stroke: a computational and meta-analysis. Iran J Basic Med Sci. 2018;21(7):701-708. https://doi.org/10.22038/IJBMS.2018.29009.7001.
Cao L, Li Q, Chen X. The HindIII and PvuII polymorphisms of lipoprotein lipase (LPL) gene reduce the risk of ischemic stroke (IS): a meta-analysis. Medicine (Baltimore). 2018;97(18):e0483. https://doi.org/10.1097/MD.0000000000010483.
Moreno LA, De Henauw S, González-Gross M, et al. Design and implementation of the healthy lifestyle in europe by nutrition in adolescence cross-sectional study. Int J Obes (Lond). 2008;32:S4-S11. https://doi.org/10.1038/ijo.2008.177.
Moreno LA, González-Gross M, Kersting M, et al. Assessing, understanding and modifying nutritional status, eating habits and physical activity in European adolescents: the HELENA (Healthy Lifestyle in Europe by Nutrition in Adolescence) Study. Public Health Nutr. 2008;11(3):288-299. https://doi.org/10.1017/S1368980007000535.
Beghin L, Castera M, Manios Y, et al. Quality assurance of ethical issues and regulatory aspects relating to good clinical practices in the HELENA cross-sectional study. Int J Obes (Lond). 2008;32(suppl. 5):S12-S18. https://doi.org/10.1038/ijo.2008.179.
Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: international survey. BMJ. 2000;320(7244):1240-1243. https://doi.org/10.1136/bmj.320.7244.1240.
Slaughter M, Lohman T, Boileau R, et al. Skinfold equations for estimation of body fatness in children and youth. Hum Biol. 1998;60:709-723.
Lobelo F, Pate RR, Dowda M, Liese AD, Ruiz JR. Validity of cardiorespiratory fitness criterion-referenced standards for adolescents. Med Sci Sports Exerc. 2009;41(6):1222-1229. https://doi.org/10.1249/MSS.0b013e318195d491.
Ruiz JR, Ortega FB, Martínez-Gómez D, et al. Objectively measured physical activity and sedentary time in european adolescents. Am J Epidemiol. 2011;174(2):173-184. https://doi.org/10.1093/aje/kwr068.
R Core Team. R: A Language And Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing; 2017.
Sham PC, Purcell SM. Statistical power and significance testing in large-scale genetic studies. Nat Rev Genet. 2014;15(5):335-346. https://doi.org/10.1038/nrg3706.
Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J Royal Stat Soc. 1995;57(1):289-300. https://doi.org/10.2307/2346101.
Qu H-QH-Q, Tien M, Polychronakos C. Statistical significance in genetic association studies. Clin Investig Med. 2010;33(5):E266-E270.
Sinnwell AJJason P, Sinnwell SD. Statistical Analysis of Haplotypes with Traits and Covariates when Linkage Phase Is Ambiguous. "Haplo.stats" R package.. 2016. http://www.mayo.edu/research/labs/statistical-genetics-genetic-epidemiology/.
González JR, Armengol L, Solé X, et al. SNPassoc: an R package to perform whole genome association studies. Bioinformatics. 2007;23(5):644-645. https://doi.org/10.1093/bioinformatics/btm025.
Wang N, Akey JM, Zhang K, Chakraborty R, Jin L. Distribution of recombination crossovers and the origin of haplotype blocks: the interplay of population history, recombination, and mutation. Am J Hum Genet. 2002;71(5):1227-1234. https://doi.org/10.1086/344398.
Cho YS, Go MJ, Han HR, et al. Association of lipoprotein lipase (LPL) single nucleotide polymorphisms with type 2 diabetes mellitus. Exp Mol Med. 2008;40(5):523-532. https://doi.org/10.3858/emm.2008.40.5.523.
Gao R-R, Wang M, Hu Y, et al. Impact of LPL gene rs283 polymorphism on exercise-induced changes in metabolism of obese adolescents and the regulatory mechanisms behind it. Exp Physiol. 2015;100(6):698-707. https://doi.org/10.1113/EP085127.
Palacio Rojas M, Prieto C, Bermúdez V, et al. Dyslipidemia: genetics, lipoprotein lipase and HindIII polymorphism. F1000Res. 2018;6(0):2073. https://doi.org/10.12688/f1000research.12938.2.
Velasquez Pereira LC, Vargas Castellanos CI, Silva Sieger FA. Polymorphisms of the lipoprotein lipase gene as genetic markers for stroke in Colombian population: a case control study. Colomb Med (Colomb). 2016;47(4):189-195.
Moghadasi M, Kelishadi R, Marateb HR, et al. Logic regression analysis of gene polymorphisms and HDL levels in a nationally representative sample of Iranian adolescents: the CASPIAN-III study. Int J Endocrinol Metab. 2017;15(3):e14037. https://doi.org/10.5812/ijem.14037.
Ariza M-J, Sanchez-Chaparro M-A, Baron F-J, et al. Additive effects of LPL, APOA5 and APOE variant combinations on triglyceride levels and hypertriglyceridemia: results of the ICARIA genetic sub-study. BMC Med Genet. 2010;11:66. https://doi.org/10.1186/1471-2350-11-66.
Shahid SU, Shabana , Cooper JA, et al. Genetic risk analysis of coronary artery disease in Pakistani subjects using a genetic risk score of 21 variants. Atherosclerosis. 2017;258:1-7. https://doi.org/10.1016/j.atherosclerosis.2017.01.024.
Bentley AR, Chen G, Shriner D, et al. Gene-based sequencing identifies lipid-influencing variants with ethnicity-specific effects in African Americans. PLoS Genet. 2014;10(3):e1004190. https://doi.org/10.1371/journal.pgen.1004190.
Frizzell JP. Acute stroke: pathophysiology, diagnosis, and treatment. AACN Clin Issues. 2005;16(4):421-428.
Hamel P, Simoneau JA, Lortie G, Boulay MR, Bouchard C. Heredity and muscle adaptation to endurance training. Med Sci Sports Exerc. 1986;18(6):690-696.
Prud'homme D, Bouchard C, Leblanc C, Landry F, Fontaine E. Sensitivity of maximal aerobic power to training is genotype-dependent. Med Sci Sports Exerc. 1984;16(5):489-493.
Despres JP, Bouchard C, Savard R, Prud'homme D, Bukowiecki L, Theriault G. Adaptive changes to training in adipose tissue lipolysis are genotype dependent. Int J Obes (Lond). 1984;8(1):87-95.
Timmons JA, Knudsen S, Rankinen T, et al. Using molecular classification to predict gains in maximal aerobic capacity following endurance exercise training in humans. J Appl Physiol. 2010;108(6):1487-1496. https://doi.org/10.1152/japplphysiol.01295.2009.
Davidsen PK, Gallagher IJ, Hartman JW, et al. High responders to resistance exercise training demonstrate differential regulation of skeletal muscle microRNA expression. J Appl Physiol. 2011;110(2):309-317. https://doi.org/10.1152/japplphysiol.00901.2010.

Auteurs

Diego F Salazar-Tortosa (DF)

PROFITH 'PROmoting FITness and Health through physical activity' research group, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain.
Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, Arizona, USA.
Department of Ecology, Faculty of Sciences, University of Granada, Spain.

Jose M Pascual-Gamarra (JM)

PROFITH 'PROmoting FITness and Health through physical activity' research group, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain.
Department of Medical Physiology, Faculty of Medicine, University of Granada, Spain.

Idoia Labayen (I)

Institute for Innovation & Sustainable Development in Food Chain (IS-FOOD), Department of Health Sciences, Navarra's Health Research Institute (IdiSNA), Public University of Navarra, Pamplona, Spain.

Azahara I Rupérez (AI)

Growth, Exercise, Nutrition and Development (GENUD) Research Group, University of Zaragoza, Zaragoza, Spain.
Instituto Agroalimentario de Aragón (IA2), Zaragoza, Spain.
Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza, Spain.

Laura Censi (L)

Council for Agricultural Research and Economics (CREA), Research Centre for Food and Nutrition, Rome, Italy.

Laurent Béghin (L)

Univ. Lille, Inserm, CHU Lille, CIC 1403 - Clinique Investigation Center and U1286 -INFINITE - Institute for Translational Research in Inflammation, Lille, France.

Nathalie Michels (N)

Department of Public Health and Primary Care, Ghent University, Belgium.

Marcela Gonzalez-Gross (M)

Department of Health and Human Performance, Universidad Politécnica de Madrid, Madrid, Spain.

Yannis Manios (Y)

Department of Nutrition and Dietetics, Harokopio University of Athens, Greece.

Christina-Paulina Lambrinou (CP)

Department of Nutrition and Dietetics, Harokopio University of Athens, Greece.

Ascension Marcos (A)

Spanish National Research Council (CSIC), Immunonutrition Group, Institute of Food Science, Technology and Nutrition (ICTAN), Madrid, Spain.

Luis A Moreno (LA)

Growth, Exercise, Nutrition and Development (GENUD) Research Group, University of Zaragoza, Zaragoza, Spain.
Instituto Agroalimentario de Aragón (IA2), Zaragoza, Spain.
Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza, Spain.
Instituto de Salud Carlos, Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBERObn), Madrid, Spain.
Instituto de Salud Carlos III, Madrid, Spain.
Faculty of Health Sciences, University of Zaragoza, Zaragoza, 50009, Spain.

Aline Meirhaeghe (A)

Inserm, Institut Pasteur de Lille, University Lille, UMR1167-RID-AGE-Risk factors and molecular determinants of aging-related diseases, Lille, France.

Manuel J Castillo (MJ)

Department of Medical Physiology, Faculty of Medicine, University of Granada, Spain.

Jonatan R Ruiz (JR)

PROFITH 'PROmoting FITness and Health through physical activity' research group, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain.
Department of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, Granada, Spain.
Department of Biosciences and Nutrition at NOVUM, Karolinska Institutet, Huddinge, Sweden.

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