Abstract
Background
Several studies identified genetic variants in FADS and ELOVL2 genes associated with obesity-related conditions, such as alterations in blood lipid parameters and insulin homeostasis. The aim of this cross-sectional study was to determine whether FADS and ELOVL2 genetic variants were associated with obesity and adiposity, besides dyslipidaemia and insulin resistance, in a large sample of obese children and adolescents.
Materials and methods
One thousand six hundred and forty-nine obese children underwent physical examination, anthropometry, fasting blood tests measuring plasma glucose, lipid and liver profile. Two genetic variants were genotyped: rs2236212 in ELOVL2 gene and rs1535 in FADS2, for the gene cluster FADS. In a subgroup of obese children (n = 105), erythrocyte fatty acid composition was measured. Generalized linear models were used to assess association between genotypes and variables.
Results
A positive association between zBMI and the minor allele of rs2236212 (p = 0.028), the major allele of rs1535 (p = 0.046) and the genetic score (p = 0.008), created by summing up both risk alleles, were found. The estimation of enzymatic activity revealed that minor alleles were associated significantly with a reduction of the enzymatic activity of elongase and desaturase (p = 0.048 and p = 0.0001, respectively).
Discussion and conclusions
Common variants in the FADS2 and ELOVL2 genes were associated with BMI in a large population of obese Italian children. These SNPs were associated with alterations in LC-PUFAs homeostasis, not accompanied by modifications of plasma lipids or HOMA-IR. These findings provide additional support to the genetics accounting for BMI interindividual variability and the molecular basis of obesity.
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References
Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2014;384:766–81. https://doi.org/10.1016/S0140-6736(14)60460-8.
Heymsfield SB, Wadden TA. Mechanisms, pathophysiology, and management of obesity. Longo DL, editor. N Engl J Med. 2017;376:254–66. https://doi.org/10.1056/NEJMra1514009.
Bender N, Portmann M, Heg Z, Hofmann K, Zwahlen M, Egger M. Fish or n3-PUFA intake and body composition: A systematic review and meta-analysis. Obes Rev. 2014;15:657–65. https://doi.org/10.1111/obr.12189.
Ells LJ, Rees K, Brown T, Mead E, Al-Khudairy L, Azevedo L, et al. Interventions for treating children and adolescents with overweight and obesity: an overview of Cochrane reviews. Int J Obes. 2018;42:1823–33. https://doi.org/10.1038/s41366-018-0230-y.
Pigeyre M, Yazdi FT, Kaur Y, Meyre D. Recent progress in genetics, epigenetics and metagenomics unveils the pathophysiology of human obesity. Clin Sci. 2016;130:943–86. https://doi.org/10.1042/CS20160136.
Stryjecki C, Alyass A, Meyre D. Ethnic and population differences in the genetic predisposition to human obesity. Obes Rev. 2018;19:62–80. https://doi.org/10.1111/obr.12604.
Yang J, Bakshi A, Zhu Z, Hemani G, Vinkhuyzen AAE, Lee SH, et al. Genetic variance estimation with imputed variants finds negligible missing heritability for human height and body mass index. Nat Genet. 2015;47:1114–20. https://doi.org/10.1038/ng.3390.
Fekete K, Györei E, Lohner S, Verduci E, Agostoni C, Decsi T. Long-chain polyunsaturated fatty acid status in obesity: A systematic review and meta-analysis. Obes Rev. 2015;16:488–97. https://doi.org/10.1111/obr.12280.
Kwong RY, Heydari B, Ge Y, Abdullah S, Fujikura K, Kaneko K, et al. Genetic profiling of fatty acid desaturase polymorphisms identifies patients who may benefit from high-dose omega-3 fatty acids in cardiac remodeling after acute myocardial infarction—post-hoc analysis from the OMEGA-REMODEL randomized controlled trial. PLoS ONE. 2019;14:1–17. https://doi.org/10.1371/journal.pone.0222061.
Vaittinen M, Männistö V, Käkelä P, Ågren J, Tiainen M, Schwab U, et al. Interorgan cross talk between fatty acid metabolism, tissue inflammation, and FADS2 genotype in humans with obesity. Obesity. 2017;25:545–52. https://doi.org/10.1002/oby.21753.
Lemaitre RN, Tanaka T, Tang W, Manichaikul A, Foy M, Kabagambe EK, et al. Genetic loci associated with plasma phospholipid N-3 fatty acids: a meta-analysis of genome-wide association studies from the charge consortium. PLoS Genet. 2011;7. https://doi.org/10.1371/journal.pgen.1002193.
Li Y, Sun T, Wu Y, Li C, Ling C, Zeng F, et al. Higher erythrocyte n-3 polyunsaturated fatty acid were associated with a better profile of DXA-derived body fat and fat distribution in adults. Int J Obes. 2020. https://doi.org/10.1038/s41366-020-0569-8.
Simopoulos AP. An increase in the Omega-6/Omega-3 fatty acid ratio increases the risk for obesity. Nutrients. 2016;8:1–17. https://doi.org/10.3390/nu8030128.
Alsaleh A, Maniou Z, Lewis FJ, Hall WL, Sanders TAB, O’Dell SD. ELOVL2 gene polymorphisms are associated with increases in plasma eicosapentaenoic and docosahexaenoic acid proportions after fish oil supplement. Genes Nutr. 2014;9:1–9. https://doi.org/10.1007/s12263-013-0362-6.
Steer CD, Hibbeln JR, Golding J, Davey smith G. Polyunsaturated fatty acid levels in blood during pregnancy, at birth and at 7 years: their associations with two common FADS2 polymorphisms. Hum Mol Genet. 2012;21:1504–12. https://doi.org/10.1093/hmg/ddr588.
Wolters M, Schlenz H, Börnhorst C, Risé P, Galli C, Moreno LA, et al. Desaturase activity is associated with weight status and metabolic risk markers in young children. J Clin Endocrinol Metab. 2015;100:3760–9. https://doi.org/10.1210/jc.2015-2693.
Warensjö E, Rosell M, Hellenius M-L, Vessby B, De Faire U, Risérus U. Associations between estimated fatty acid desaturase activities in serum lipids and adipose tissue in humans: links to obesity and insulin resistance. Lipids Health Dis. 2009;8:37. https://doi.org/10.1186/1476-511X-8-37.
Saito E, Okada T, Abe Y, Kuromori Y, Miyashita M, Iwata F, et al. Docosahexaenoic acid content in plasma phospholipids and desaturase indices in obese children. J Atheroscler Thromb. 2011;18:345–50. https://doi.org/10.5551/jat.6270.
Bonafini S, Tagetti A, Gaudino R, Cavarzere P, Montagnana M, Danese E, et al. Individual fatty acids in erythrocyte membranes are associated with several features of the metabolic syndrome in obese children. Eur J Nutr. 2019;58:731–42. https://doi.org/10.1007/s00394-018-1677-2.
Brayner B, Kaur G, Keske MA, Livingstone KM. FADS polymorphism, omega-3 fatty acids and diabetes risk: a systematic review. Nutrients. 2018;10:1–11. https://doi.org/10.3390/nu10060758.
Tanaka T, Shen J, Abecasis GR, Kisialiou A, Ordovas JM, Guralnik JM, et al. Genome-wide association study of plasma polyunsaturated fatty acids in the InCHIANTI study. PLoS Genet. 2009;5:1–8. https://doi.org/10.1371/journal.pgen.1000338.
Aulchenko YS, Ripatti S, Lindqvist I, Boomsma D, Heid IM, Pramstaller PP, et al. Loci influencing lipid levels and coronary heart disease risk in 16 European population cohorts. Nat Genet. 2009;41:47–55. https://doi.org/10.1038/ng.269.
Kim OY, Lim HH, Yang LI, Chae JS, Lee JH. Fatty acid desaturase (FADS) gene polymorphisms and insulin resistance in association with serum phospholipid polyunsaturated fatty acid composition in healthy Korean men: Cross-sectional study. Nutr Metab. 2011;8:1–11. https://doi.org/10.1186/1743-7075-8-24.
Hovsepian S, Javanmard SH, Mansourian M, Tajadini M, Hashemipour M, Kelishadi R. Relationship of lipid regulatory gene polymorphisms and dyslipidemia in a pediatric population: the CASPIAN III study. Hormones. 2018;17:97–105. https://doi.org/10.1007/s42000-018-0020-x.
Dupuis J, Langenberg C, Prokopenko I, Saxena R, Soranzo N, Jackson AU, et al. New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk. Nat Genet. 2010;42:105–16. https://doi.org/10.1038/ng.520.
Ingelsson E, Langenberg C, Hivert MF, Prokopenko I, Lyssenko V, Dupuis J, et al. Detailed physiologic characterization reveals diverse mechanisms for novel genetic loci regulating glucose and insulin metabolism in humans. Diabetes. 2010;59:1266–75. https://doi.org/10.2337/db09-1568.
ADLG Puentes, Goyanes RM, Tonato AMC, Torres-Espínola FJ, García MA, De Almeida LD, et al. Association of maternal weight with FADS and ELOVL genetic variants and fatty acid levels-The PREOBE follow-up. PLoS One. 2017;12:1–16. https://doi.org/10.1371/journal.pone.0179135.
Giontella A, Bonafini S, Tagetti A, Bresadola I, Minuz P, Gaudino R, et al. Relation between dietary habits, physical activity, and anthropometric and vascular parameters in children attending the primary school in the Verona South District. Nutrients. 2019;11. https://doi.org/10.3390/nu11051070.
De Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ. 2007;85:660–7. https://doi.org/10.2471/BLT.07.043497.
Association AD. Classification and diagnosis of diabetes. Diabetes Care. 2017;40:S11–S24. https://doi.org/10.2337/dc17-S005.
Olivieri F, Zusi C, Morandi A, Corradi M, Boselli ML, Fornari E, et al. “IGT-like” status in normoglucose tolerant obese children and adolescents: the additive role of glucose profile morphology and 2-hours glucose concentration during the oral glucose tolerance test. Int J Obes. 2019;43:1363–9. https://doi.org/10.1038/s41366-018-0297-5.
Maffeis C, Grezzani A, Pietrobelli A, Provera S, Tatò L. Does waist circumference predict fat gain in children? Int J Obes. 2001;25:978–83. https://doi.org/10.1038/sj.ijo.0801641.
Maffeis C, Banzato C, Talamini G. Waist-to-height ratio, a useful index to identify high metabolic risk in overweight children. J Pediatr. 2008;152:207–13. https://doi.org/10.1016/j.jpeds.2007.09.021.
Garn SM. Growth at adolescence. By J. M. Tanner. Pp. vii + 212. Blackwell Scientific Publications, Oxford. Publisher simultaneously by Charles C Thomas and the Ryerson Press. 1955. Am J Phys Anthropol. 1956;14:120–2. https://doi.org/10.1002/ajpa.1330140125.
Flynn JT, Kaelber DC, Baker-Smith CM, Blowey D, Carroll AE, Daniels SR, et al. Clinical practice guideline for screening and management of high blood pressure in children and adolescents. Pediatrics. 2017;140. https://doi.org/10.1542/peds.2017-1904.
Baack ML, Puumala SE, Messier SE, Pritchett DK, Harris WS. What is the relationship between gestational age and docosahexaenoic acid (DHA) and arachidonic acid (ARA) levels? Prostaglandins Leukot Essent Fat Acids. 2015;100:5–11. https://doi.org/10.1016/j.plefa.2015.05.003.
Sarter B, Kelsey KS, Schwartz TA, Harris WS. Blood docosahexaenoic acid and eicosapentaenoic acid in vegans: Associations with age and gender and effects of an algal-derived omega-3 fatty acid supplement. Clin Nutr. 2015;34:212–8. https://doi.org/10.1016/j.clnu.2014.03.003.
Johnston DT, Deuster PA, Harris WS, MacRae H, Dretsch MN. Red blood cell omega-3 fatty acid levels and neurocognitive performance in deployed U.S. Servicemembers. Nutr Neurosci. 2013;16:30–8. https://doi.org/10.1179/1476830512Y.0000000025.
Vessby B, Gustafsson I-B, Tengblad S, Boberg M, Andersson A. Desaturation and elongation of fatty acids and insulin action. Ann N Y Acad Sci. 2006;967:183–95. https://doi.org/10.1111/j.1749-6632.2002.tb04275.x.
Kröger J, Zietemann V, Enzenbach C, Weikert C, EHJM Jansen, Döring F, et al. Erythrocyte membrane phospholipid fatty acids, desaturase activity, and dietary fatty acids in relation to risk of type 2 diabetes in the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam Study. Am J Clin Nutr. 2011;93:127–42. https://doi.org/10.3945/ajcn.110.005447.
Zietemann V, Kröger J, Enzenbach C, Jansen E, Fritsche A, Weikert C, et al. Genetic variation of the FADS1 FADS2 gene cluster and n -6 PUFA composition in erythrocyte membranes in the European Prospective Investigation into Cancer and Nutrition-Potsdam study. Br J Nutr. 2010;104:1748–59. https://doi.org/10.1017/S0007114510002916
Warensjö E, Öhrvall M, Vessby B. Fatty acid composition and estimated desaturase activities are associated with obesity and lifestyle variables in men and women. Nutr Metab Cardiovasc Dis. 2006;16:128–36. https://doi.org/10.1016/j.numecd.2005.06.001.
Gregory MK, Gibson RA, Cook-Johnson RJ, Cleland LG, James MJ. Elongase reactions as control points in Long-Chain polyunsaturated fatty acid synthesis. PLoS ONE. 2011;6. https://doi.org/10.1371/journal.pone.0029662.
Kamat MA, Blackshaw JA, Young R, Surendran P, Burgess S, Danesh J, et al. PhenoScanner V2: an expanded tool for searching human genotype-phenotype associations. Bioinformatics. 2019;35:4851–3. https://doi.org/10.1093/bioinformatics/btz469.
Felix JF, Bradfield JP, Monnereau C, Van Der Valk RJP, Stergiakouli E, Chesi A, et al. Genome-wide association analysis identifies three new susceptibility loci for childhood body mass index. Hum Mol Genet. 2016;25:389–403. https://doi.org/10.1093/hmg/ddv472.
Stoffel W, Hammels I, Jenke B, Binczek E, Schmidt-Soltau I, Brodesser S, et al. Obesity resistance and deregulation of lipogenesis in Δ6-fatty acid desaturase (FADS2) deficiency. EMBO Rep. 2014;15:110–20. https://doi.org/10.1002/embr.201338041.
Albracht-Schulte K, Kalupahana NS, Ramalingam L, Wang S, Rahman SM, Robert-McComb J, et al. Omega-3 fatty acids in obesity and metabolic syndrome: a mechanistic update. J Nutr Biochem. 2018;58:1–16. https://doi.org/10.1016/j.jnutbio.2018.02.012.
Hanada H, Morikawa K, Hirota K, Nonaka M, Umehara Y. Induction of apoptosis and lipogenesis in human preadipocyte cell line by N-3 PUFAs. Cell Biol Int. 2010;35:51–9. https://doi.org/10.1042/cbi20100070.
Kalupahana NS, Claycombe KJ, Moustaid-Moussa N. (n-3) Fatty acids alleviate adipose tissue inflammation and insulin resistance: mechanistic insights. Adv Nutr. 2011;2:304–16. https://doi.org/10.3945/an.111.000505.
Barman M, Nilsson S, Naluai ÅT, Sandin A, Wold AE, Sandberg AS. Single nucleotide polymorphisms in the FADS gene cluster but not the ELOVL2 gene are associated with serum polyunsaturated fatty acid composition and development of allergy (in a Swedish birth cohort). Nutrients. 2015;7:10100–15. https://doi.org/10.3390/nu7125521.
Malerba G, Schaeffer L, Xumerle L, Klopp N, Trabetti E, Biscuola M, et al. SNPs of the FADS gene cluster are associated with polyunsaturated fatty acids in a cohort of patients with cardiovascular disease. Lipids. 2008;43:289–99. https://doi.org/10.1007/s11745-008-3158-5.
Kim W, Deik A, Gonzalez C, Gonzalez ME, Fu F, Ferrari M, et al. Polyunsaturated fatty acid desaturation is a mechanism for glycolytic NAD+ recycling. Cell Metab. 2019;29:856–70.e7. https://doi.org/10.1016/j.cmet.2018.12.023.
Acknowledgements
We kindly thank the patients and their families who participated in the study.
Funding
Supported by grants FUR MAFFEIS from the University of Verona to CM. Part of the study was supported by a grant of the Italian Ministry of Health (GR-2011-02349630) to CF in agreement with the “Regione Veneto” and the “Azienda Ospedaliera Universitaria Integrata di Verona.”
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A Maguolo, CZ, and AG researched and analyzed data and wrote the manuscript. A Maguolo, CZ, AG, AT, and A Morandi researched data and discussed the manuscript. EMDG, CF, A Morandi, and CM edited the manuscript, and provided substantial contribution to the overall discussion. CF and CM are the guarantor of this work and, as such, had full access to all the data in the study and take responsibility for the integrity and the accuracy of the data analysis.
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41366_2020_662_MOESM1_ESM.docx
Supplementary table 1. Differences between the two groups of children undergoing fatty acids measurement in different biological matrices.
41366_2020_662_MOESM2_ESM.docx
Supplementary table 2: Differences of desaturases and elongase activities and fatty acids dosages according to the genotypes of FADS2 and ELOVL2 SNPs in the two groups of children undergoing fatty acids measurement, separately.
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Maguolo, A., Zusi, C., Giontella, A. et al. Influence of genetic variants in FADS2 and ELOVL2 genes on BMI and PUFAs homeostasis in children and adolescents with obesity. Int J Obes 45, 56–65 (2021). https://doi.org/10.1038/s41366-020-00662-9
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DOI: https://doi.org/10.1038/s41366-020-00662-9
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