Obesity status modifies the association between rs7556897T>C in the intergenic region SLC19A3-CCL20 and blood pressure in French children.


Journal

Clinical chemistry and laboratory medicine
ISSN: 1437-4331
Titre abrégé: Clin Chem Lab Med
Pays: Germany
ID NLM: 9806306

Informations de publication

Date de publication:
25 10 2020
Historique:
received: 18 03 2019
accepted: 24 02 2020
pubmed: 3 4 2020
medline: 24 8 2021
entrez: 3 4 2020
Statut: ppublish

Résumé

Background Growing evidence reports an association between inflammatory markers, obesity and blood pressure (BP). Specifically, the intergenic single nucleotide polymorphism (SNP) rs7556897T > C (MAF = 0.34) located between SLC19A3 and the CCL20 was shown to be associated with chronic inflammatory diseases. In addition, CCL20 expression was found increased in pancreatic islets of obese rodents and human pancreatic β cells under the influence of inflammation. In this study, we hypothesized that SNP rs7556897 could affect BP levels, thus providing a link between inflammation, BP and obesity. Methods BP was measured under supine position with a manual sphygmomanometer; values reported were the means of three readings. We analyzed rs7556897 in 577 normal weight and 689 obese French children. Using real-time polymerase chain reaction (PCR), we quantified CCL20 and SLC19A3 expression in adipose tissue and peripheral blood mononuclear cells (PBMCs) of normal weight and overweight children. Results The rs7556897C allele was negatively associated with diastolic BP in normal weight children (β = -0.012 ± 0.004, p = 0.006) but positively associated in obese children (β = 2.178 ± 0.71, p = 0.002). A significant interaction between rs7556897T > C and the obesity status (obese or normal weight) was detected (β = 3.49, p = 9.79 × 10-5) for BP in a combined population analysis. CCL20 mRNA was only expressed in the adipose tissue of overweight children, and its expression levels were 10.7×  higher in PBMCs of overweight children than normal weight children. Finally, CCL20 mRNA levels were positively associated with rs7556897T > C in PBMCs of 58 normal weight children (β = 0.43, p = 0.002). SLC19A3 was not expressed in PBMCs, and in adipose tissue, it showed same levels of expression in normal weight and overweight children. The gene expression results may highlight a specific involvement of CCL20 via communicating obesity/inflammation pathways that regulate BP. Conclusions Childhood obesity reverses the effect of rs7556897T > C on diastolic BP, possibly via the modulation of CCL20 expression levels.

Identifiants

pubmed: 32238601
doi: 10.1515/cclm-2019-0292
pii: cclm-2019-0292
doi:

Substances chimiques

CCL20 protein, human 0
Chemokine CCL20 0
DNA, Intergenic 0
Membrane Transport Proteins 0
SLC19A3 protein, human 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1819-1827

Références

World Health Organization. A report about obesity and overweight. 2016. Retrieved from: https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight.
Park MH, Falconer C, Viner RM, Kinra S. The impact of childhood obesity on morbidity and mortality in adulthood: a systematic review. Obes Rev 2012;13:985–1000.
Reilly JJ, Kelly J. Long-term impact of overweight and obesity in childhood and adolescence on morbidity and premature mortality in adulthood: systematic review. Int J Obes (Lond) 2011;35:891–8.
Lawes CM, Vander Hoorn S, Rodgers A, International Society of H. Global burden of blood-pressure-related disease, 2001. Lancet 2008;371:1513–8.
Courtens W, Broeckx W, Ledoux M, Vamosa E. Oculocerebral hypopigmentation syndrome (Cross syndrome) in a Gipsy child. Acta Paediatr Scand 1989;78:806–10.
I’Allemand D, Wiegand S, Reinehr T, Muller J, Wabitsch M, Widhalm K, et al. Cardiovascular risk in 26,008 European overweight children as established by a multicenter database. Obesity (Silver Spring) 2008;16:1672–9.
Timpson NJ, Harbord R, Davey Smith G, Zacho J, Tybjaerg-Hansen A, Nordestgaard BG. Does greater adiposity increase blood pressure and hypertension risk?: Mendelian randomization using the FTO/MC4R genotype. Hypertension 2009;54:84–90.
Bender R, Jockel KH, Richter B, Spraul M, Berger M. Body weight, blood pressure, and mortality in a cohort of obese patients. Am J Epidemiol 2002;156:239–45.
Gundogdu Z. Relationship between BMI and blood pressure in girls and boys. Public Health Nutr 2008;11:1085–8.
Pi-Sunyer FX, Aronne LJ, Heshmati HM, Devin J, Rosenstock J, Group RI-NAS. Effect of rimonabant, a cannabinoid-1 receptor blocker, on weight and cardiometabolic risk factors in overweight or obese patients: RIO-North America: a randomized controlled trial. J Am Med Assoc 2006;295:761–75.
Siebenhofer A, Horvath K, Jeitler K, Berghold A, Stich AK, Matyas E, et al. Long-term effects of weight-reducing drugs in hypertensive patients. Cochrane Database Syst Rev 2009;3:CD007654.
Munoz M, Pong-Wong R, Canela-Xandri O, Rawlik K, Haley CS, Tenesa A. Evaluating the contribution of genetics and familial shared environment to common disease using the UK Biobank. Nat Genet 2016;48:980–3.
Levy D, DeStefano AL, Larson MG, O’Donnell CJ, Lifton RP, Gavras H, et al. Evidence for a gene influencing blood pressure on chromosome 17. Genome scan linkage results for longitudinal blood pressure phenotypes in subjects from the framingham heart study. Hypertension 2000;36:477–83.
Ehret GB. Genome-wide association studies: contribution of genomics to understanding blood pressure and essential hypertension. Curr Hypertens Rep 2010;12:17–25.
Evangelou E, Warren HR, Mosen-Ansorena D, Mifsud B, Pazoki R, Gao H, et al. Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits. Nat Genet 2018;50:1412–25.
El Shamieh S, Ndiaye NC, Stathopoulou MG, Murray HA, Masson C, Lamont JV, et al. Functional epistatic interaction between rs6046G>A in F7 and rs5355C>T in SELE modifies systolic blood pressure levels. PLoS One 2012;7:e40777.
Ndiaye NC, Azimi Nehzad M, El Shamieh S, Stathopoulou MG, Visvikis-Siest S. Cardiovascular diseases and genome-wide association studies. Clin Chim Acta 2011;412:1697–701.
Baba M, Imai T, Nishimura M, Kakizaki M, Takagi S, Hieshima K, et al. Identification of CCR6, the specific receptor for a novel lymphocyte-directed CC chemokine LARC. J Biol Chem 1997;272:14893–8.
Liu JZ, van Sommeren S, Huang H, Ng SC, Alberts R, Takahashi A, et al. Association analyses identify 38 susceptibility loci for inflammatory bowel disease and highlight shared genetic risk across populations. Nat Genet 2015;47:979–86.
Ellinghaus D, Jostins L, Spain SL, Cortes A, Bethune J, Han B, et al. Analysis of five chronic inflammatory diseases identifies 27 new associations and highlights disease-specific patterns at shared loci. Nat Genet 2016;48:510–8.
Burke SJ, Karlstad MD, Regal KM, Sparer TE, Lu D, Elks CM, et al. CCL20 is elevated during obesity and differentially regulated by NF-kappaB subunits in pancreatic beta-cells. Biochim Biophys Acta 2015;1849:637–52.
Nijhuis J, Rensen SS, Slaats Y, van Dielen FM, Buurman WA, Greve JW. Neutrophil activation in morbid obesity, chronic activation of acute inflammation. Obesity (Silver Spring) 2009;17:2014–8.
De Miguel C, Rudemiller NP, Abais JM, Mattson DL. Inflammation and hypertension: new understandings and potential therapeutic targets. Current hypertension reports 2015;17:507.
Savoia C, Schiffrin EL. Inflammation in hypertension. Curr Opin Nephrol Hypertens 2006;15:152–8.
Siest G, Visvikis S, Herbeth B, Gueguen R, Vincent-Viry M, Sass C, et al. Objectives, design and recruitment of a familial and longitudinal cohort for studying gene-environment interactions in the field of cardiovascular risk: the Stanislas cohort. Clin Chem Lab Med 1998;36:35–42.
Visvikis-Siest S, Siest G. The STANISLAS Cohort: a 10-year follow-up of supposed healthy families. Gene-environment interactions, reference values and evaluation of biomarkers in prevention of cardiovascular diseases. Clin Chem Lab Med 2008;46:733–47.
Rolland-Cachera MF, Cole TJ, Sempe M, Tichet J, Rossignol C, Charraud A. Body Mass Index variations: centiles from birth to 87 years. Eur J Clin Nutr 1991;45:13–21.
Meyre D, Delplanque J, Chevre JC, Lecoeur C, Lobbens S, Gallina S, et al. Genome-wide association study for early-onset and morbid adult obesity identifies three new risk loci in European populations. Nature genetics 2009;41:157–9.
Dedoussis GV, Kapiri A, Kalogeropoulos N, Samara A, Dimitriadis D, Lambert D, et al. Adipokine expression in adipose tissue and in peripheral blood mononuclear cells in children Correlation with BMI and fatty acid content. Clin Chim Acta 2009;410:85–9.
Marteau JB, Mohr S, Pfister M, Visvikis-Siest S. Collection and storage of human blood cells for mRNA expression profiling: a 15-month stability study. Clin Chem 2005;51:1250–2.
Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MA, Bender D, et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet 2007;81:559–75.
Zerbino DR, Achuthan P, Akanni W, Amode MR, Barrell D, Bhai J, et al. Ensembl 2018. Nucleic Acids Res 2018;46:D754-d61.
Bao W, Threefoot SA, Srinivasan SR, Berenson GS. Essential hypertension predicted by tracking of elevated blood pressure from childhood to adulthood: the Bogalusa Heart Study. Am J Hypertens 1995;8:657–65.
Mahoney LT, Burns TL, Stanford W, Thompson BH, Witt JD, Rost CA, et al. Coronary risk factors measured in childhood and young adult life are associated with coronary artery calcification in young adults: the Muscatine Study. J Am Coll Cardiol 1996;27:277–84.
Feinberg AP. Epigenetics at the epicenter of modern medicine. J Am Med Assoc 2008;299:1345–50.
Caulfield M, Munroe P, Pembroke J, Samani N, Dominiczak A, Brown M, et al. Genome-wide mapping of human loci for essential hypertension. Lancet 2003;361:2118–23.
Edwards KL, Hutter CM, Wan JY, Kim H, Monks SA. Genome-wide linkage scan for the metabolic syndrome: the GENNID study. Obesity (Silver Spring) 2008;16:1596–601.
Hsueh WC, Mitchell BD, Schneider JL, Wagner MJ, Bell CJ, Nanthakumar E, et al. QTL influencing blood pressure maps to the region of PPH1 on chromosome 2q31-34 in Old Order Amish. Circulation 2000;101:2810–6.
Koivukoski L, Fisher SA, Kanninen T, Lewis CM, von Wowern F, Hunt S, et al. Meta-analysis of genome-wide scans for hypertension and blood pressure in Caucasians shows evidence of susceptibility regions on chromosomes 2 and 3. Hum Mol Genet 2004;13:2325–32.
McArdle PF, Dytch H, O’Connell JR, Shuldiner AR, Mitchell BD, Abney M. Homozygosity by descent mapping of blood pressure in the Old Order Amish: evidence for sex specific genetic architecture. BMC Genet 2007;8:66.
Mocci E, Concas MP, Fanciulli M, Pirastu N, Adamo M, Cabras V, et al. Microsatellites and SNPs linkage analysis in a Sardinian genetic isolate confirms several essential hypertension loci previously identified in different populations. BMC Med Genet 2009;10:81.
Levy D, Ehret GB, Rice K, Verwoert GC, Launer LJ, Dehghan A, et al. Genome-wide association study of blood pressure and hypertension. Nat Genet 2009;41:677–87.
Newton-Cheh C, Johnson T, Gateva V, Tobin MD, Bochud M, Coin L, et al. Genome-wide association study identifies eight loci associated with blood pressure. Nat Genet 2009;41:666–76.
Levy D, Larson MG, Benjamin EJ, Newton-Cheh C, Wang TJ, Hwang SJ, et al. Framingham Heart Study 100K Project: genome-wide associations for blood pressure and arterial stiffness. BMC Med Genet 2007;8(Suppl 1):S3.
Duffaut C, Zakaroff-Girard A, Bourlier V, Decaunes P, Maumus M, Chiotasso P, et al. Interplay between human adipocytes and T lymphocytes in obesity: CCL20 as an adipochemokine and T lymphocytes as lipogenic modulators. Arterioscler Thromb Vasc Biol 2009;29:1608–14.
Purkayastha S, Zhang G, Cai D. Uncoupling the mechanisms of obesity and hypertension by targeting hypothalamic IKK-beta and NF-kappaB. Nat Med 2011;17:883–7.
Jafarzadeh A, Bagherzadeh S, Ebrahimi HA, Hajghani H, Bazrafshani MR, Khosravimashizi A, et al. Higher circulating levels of chemokine CCL20 in patients with multiple sclerosis: evaluation of the influences of chemokine gene polymorphism, gender, treatment and disease pattern. J Mol Neurosci 2014;53:500–5.
Joehanes R, Johnson AD, Barb JJ, Raghavachari N, Liu P, Woodhouse KA, et al. Gene expression analysis of whole blood, peripheral blood mononuclear cells, and lymphoblastoid cell lines from the Framingham Heart Study. Physiol Genomics 2012;44:59–75.
Visvikis-Siest S, Marteau JB, Samara A, Berrahmoune H, Marie B, Pfister M. Peripheral blood mononuclear cells (PBMCs): a possible model for studying cardiovascular biology systems. Clin Chem Lab Med 2007;45:1154–68.
Kontaraki JE, Marketou ME, Zacharis EA, Parthenakis FI, Vardas PE. Early cardiac gene transcript levels in peripheral blood mononuclear cells in patients with untreated essential hypertension. J Hypertens 2011;29:791–7.
Aziz H, Zaas A, Ginsburg GS. Peripheral blood gene expression profiling for cardiovascular disease assessment. Genomic Med 2007;1:105–12.

Auteurs

Said El Shamieh (S)

Research Unit EA_1122; IGE-PCV - Interactions Gène-Environnement en Physiopathologie Cardio-Vasculaire, Université de Lorraine, Faculté de Pharmacie, Nancy, France.
Department of Medical Laboratory Sciences, Faculty of Health Sciences, Beirut Arab University, Beirut, Lebanon.

Maria G Stathopoulou (MG)

Research Unit EA_1122; IGE-PCV - Interactions Gène-Environnement en Physiopathologie Cardio-Vasculaire, Université de Lorraine, Faculté de Pharmacie, Nancy, France.

Amélie Bonnefond (A)

Research Unit EA_1122; IGE-PCV - Interactions Gène-Environnement en Physiopathologie Cardio-Vasculaire, Université de Lorraine, Faculté de Pharmacie, Nancy, France.
CNRS 8199-University Lille North of France, Institut Pasteur de Lille, Lille, France.

Ndeye Coumba Ndiaye (NC)

Research Unit EA_1122; IGE-PCV - Interactions Gène-Environnement en Physiopathologie Cardio-Vasculaire, Université de Lorraine, Faculté de Pharmacie, Nancy, France.

Cécile Lecoeur (C)

CNRS 8199-University Lille North of France, Institut Pasteur de Lille, Lille, France.

David Meyre (D)

CNRS 8199-University Lille North of France, Institut Pasteur de Lille, Lille, France.
Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada.

Sébastien Dadé (S)

Research Unit EA_1122; IGE-PCV - Interactions Gène-Environnement en Physiopathologie Cardio-Vasculaire, Université de Lorraine, Faculté de Pharmacie, Nancy, France.

Pia Chedid (P)

Research Unit EA_1122; IGE-PCV - Interactions Gène-Environnement en Physiopathologie Cardio-Vasculaire, Université de Lorraine, Faculté de Pharmacie, Nancy, France.

Ali Salami (A)

Research Unit EA_1122; IGE-PCV - Interactions Gène-Environnement en Physiopathologie Cardio-Vasculaire, Université de Lorraine, Faculté de Pharmacie, Nancy, France.
Rammal Hassan Rammal Research Laboratory, Physio-toxicity (PhyTox) Research Group, Lebanese University, Faculty of Sciences (V), Nabatieh, Lebanon.

Payman Shahabi (P)

Research Unit EA_1122; IGE-PCV - Interactions Gène-Environnement en Physiopathologie Cardio-Vasculaire, Université de Lorraine, Faculté de Pharmacie, Nancy, France.

George V Dedoussis (GV)

Research Unit EA_1122; IGE-PCV - Interactions Gène-Environnement en Physiopathologie Cardio-Vasculaire, Université de Lorraine, Faculté de Pharmacie, Nancy, France.
Department of Nutrition - Dietetics, Harokopio University, Athens, Greece.

Philippe Froguel (P)

CNRS 8199-University Lille North of France, Institut Pasteur de Lille, Lille, France.
Department of Genomics of Common Disease, School of Public Health, Imperial College London, London, UK.

Sophie Visvikis-Siest (S)

Research Unit EA_1122; IGE-PCV - Interactions Gène-Environnement en Physiopathologie Cardio-Vasculaire, Université de Lorraine, Faculté de Pharmacie, Nancy, France.

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