Genetic analysis of single-minded 1 gene in early-onset severely obese children and adolescents

. 2017 ; 12 (5) : e0177222. [epub] 20170504

Jazyk angličtina Země Spojené státy americké Médium electronic-ecollection

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/pmid28472148

BACKGROUND: Inactivating mutations of the hypothalamic transcription factor singleminded1 (SIM1) have been shown as a cause of early-onset severe obesity. However, to date, the contribution of SIM1 mutations to the obesity phenotype has only been studied in a few populations. In this study, we screened the functional regions of SIM1 in severely obese children of Slovak and Moravian descent to determine if genetic variants within SIM1 may influence the development of obesity in these populations. METHODS: The SIM1 promoter region, exons and exon-intron boundaries were sequenced in 126 unrelated obese children and adolescents (2-18 years of age) and 41 adult lean controls of Slovak and Moravian origin. Inclusion criteria for the children and adolescents were a body mass index standard deviation score higher than 2 SD for an appropriate age and sex, and obesity onset at less than 5 years of age. The clinical phenotypes of the SIM1 variant carriers were compared with clinical phenotypes of 4 MC4R variant carriers and with 27 unrelated SIM1 and MC4R mutation negative obese controls that were matched for age and gender. RESULTS: Seven previously described SIM1 variants and one novel heterozygous variant p.D134N were identified. The novel variant was predicted to be pathogenic by 7 in silico software analyses and is located at a highly conserved position of the SIM1 protein. The p.D134N variant was found in an 18 year old female proband (BMI 44.2kg/m2; +7.5 SD), and in 3 obese family members. Regardless of early onset severe obesity, the proband and her brother (age 16 years) did not fulfill the criteria of metabolic syndrome. Moreover, the variant carriers had significantly lower preferences for high sugar (p = 0.02) and low fat, low carbohydrate, high protein (p = 0.02) foods compared to the obese controls. CONCLUSIONS: We have identified a novel SIM1 variant, p.D134N, in 4 obese individuals from a single pedigree which is also associated with lower preference for certain foods.

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Michaud JL, DeRossi C, May NR, Holdener BC, Fan CM. ARNT2 acts as the dimerization partner of SIM1 for the development of the hypothalamus. Mech Dev. 2000;90(2):253–61. PubMed

Michaud JL, Rosenquist T, May NR, Fan CM. Development of neuroendocrine lineages requires the bHLH-PAS transcription factor SIM1. Genes Dev. 1998;12(20):3264–75. Epub 1998/10/24. PubMed PMC

Kublaoui BM, Holder JL Jr., Gemelli T, Zinn AR. Sim1 haploinsufficiency impairs melanocortin-mediated anorexia and activation of paraventricular nucleus neurons. Mol Endocrinol. 2006;20(10):2483–92. 10.1210/me.2005-0483 PubMed DOI

Yang C, Gagnon D, Vachon P, Tremblay A, Levy E, Massie B, et al. Adenoviral-mediated modulation of Sim1 expression in the paraventricular nucleus affects food intake. J Neurosci. 2006;26(26):7116–20. Epub 2006/06/30. 10.1523/JNEUROSCI.0672-06.2006 PubMed DOI PMC

Holder JL Jr., Butte NF, Zinn AR. Profound obesity associated with a balanced translocation that disrupts the SIM1 gene. Hum Mol Genet. 2000;9(1):101–8. Epub 1999/12/10. PubMed

Faivre L, Cormier-Daire V, Lapierre JM, Colleaux L, Jacquemont S, Genevieve D, et al. Deletion of the SIM1 gene (6q16.2) in a patient with a Prader-Willi-like phenotype. J Med Genet. 2002;39(8):594–6. Epub 2002/08/06. 10.1136/jmg.39.8.594 PubMed DOI PMC

Ramachandrappa S, Raimondo A, Cali AM, Keogh JM, Henning E, Saeed S, et al. Rare variants in single-minded 1 (SIM1) are associated with severe obesity. J Clin Invest. 2013;123(7):3042–50. Epub 2013/06/20. 10.1172/JCI68016 PubMed DOI PMC

Bonnefond A, Raimondo A, Stutzmann F, Ghoussaini M, Ramachandrappa S, Bersten DC, et al. Loss-of-function mutations in SIM1 contribute to obesity and Prader-Willi-like features. J Clin Invest. 2013;123(7):3037–41. Epub 2013/06/20. 10.1172/JCI68035 PubMed DOI PMC

Farooqi IS, Keogh JM, Yeo GS, Lank EJ, Cheetham T, O'Rahilly S. Clinical spectrum of obesity and mutations in the melanocortin 4 receptor gene. N Engl J Med. 2003;348(12):1085–95. 10.1056/NEJMoa022050 PubMed DOI

Zegers D, Beckers S, Hendrickx R, Van Camp JK, de Craemer V, Verrijken A, et al. Mutation screen of the SIM1 gene in pediatric patients with early-onset obesity. Int J Obes (Lond). 2014;38(7):1000–4. Epub 2013/10/08. PubMed

Montagne L, Raimondo A, Delobel B, Duban-Bedu B, Noblet FS, Dechaume A, et al. Identification of two novel loss-of-function SIM1 mutations in two overweight children with developmental delay. Obesity (Silver Spring). 2014;22(12):2621–4. Epub 2014/09/23. PubMed

Swarbrick MM, Evans DS, Valle MI, Favre H, Wu SH, Njajou OT, et al. Replication and extension of association between common genetic variants in SIM1 and human adiposity. Obesity (Silver Spring). 2011;19(12):2394–403. PubMed PMC

Traurig M, Mack J, Hanson RL, Ghoussaini M, Meyre D, Knowler WC, et al. Common variation in SIM1 is reproducibly associated with BMI in Pima Indians. Diabetes. 2009;58(7):1682–9. 10.2337/db09-0028 PubMed DOI PMC

Kobzova J, Vignerova J, Blaha P, Krejcovsky L, Riedlova J. The 6th nationwide anthropological survey of children and adolescents in the Czech Republic in 2001. Cent Eur J Public Health. 2004;12(3):126–30. Epub 2004/10/29. PubMed

Yeo GS, Lank EJ, Farooqi IS, Keogh J, Challis BG, O'Rahilly S. Mutations in the human melanocortin-4 receptor gene associated with severe familial obesity disrupts receptor function through multiple molecular mechanisms. Hum Mol Genet. 2003;12(5):561–74. PubMed

Rosenbloom KR, Armstrong J, Barber GP, Casper J, Clawson H, Diekhans M, et al. The UCSC Genome Browser database: 2015 update. Nucleic Acids Res. 2015;43(Database issue):D670–81. 10.1093/nar/gku1177 PubMed DOI PMC

Cooper GM, Stone EA, Asimenos G, Program NCS, Green ED, Batzoglou S, et al. Distribution and intensity of constraint in mammalian genomic sequence. Genome Res. 2005;15(7):901–13. 10.1101/gr.3577405 PubMed DOI PMC

Davydov EV, Goode DL, Sirota M, Cooper GM, Sidow A, Batzoglou S. Identifying a high fraction of the human genome to be under selective constraint using GERP++. PLoS Comput Biol. 2010;6(12):e1001025 10.1371/journal.pcbi.1001025 PubMed DOI PMC

Kumar P, Henikoff S, Ng PC. Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm. Nat Protoc. 2009;4(7):1073–81. 10.1038/nprot.2009.86 PubMed DOI

Choi Y, Chan AP. PROVEAN web server: a tool to predict the functional effect of amino acid substitutions and indels. Bioinformatics. 2015;31(16):2745–7. 10.1093/bioinformatics/btv195 PubMed DOI PMC

Reva B, Antipin Y, Sander C. Determinants of protein function revealed by combinatorial entropy optimization. Genome Biol. 2007;8(11):R232 10.1186/gb-2007-8-11-r232 PubMed DOI PMC

Schwarz JM, Cooper DN, Schuelke M, Seelow D. MutationTaster2: mutation prediction for the deep-sequencing age. Nat Methods. 2014;11(4):361–2. 10.1038/nmeth.2890 PubMed DOI

Kircher M, Witten DM, Jain P, O'Roak BJ, Cooper GM, Shendure J. A general framework for estimating the relative pathogenicity of human genetic variants. Nat Genet. 2014;46(3):310–5. 10.1038/ng.2892 PubMed DOI PMC

Capriotti E, Calabrese R, Fariselli P, Martelli PL, Altman RB, Casadio R. WS-SNPs&GO: a web server for predicting the deleterious effect of human protein variants using functional annotation. BMC Genomics. 2013;14 Suppl 3:S6. PubMed PMC

Geistanger A, Arends S, Berding C, Hoshino T, Jeppsson JO, Little R, et al. Statistical methods for monitoring the relationship between the IFCC reference measurement procedure for hemoglobin A1c and the designated comparison methods in the United States, Japan, and Sweden. Clinical chemistry. 2008;54(8):1379–85. 10.1373/clinchem.2008.103556 PubMed DOI

Hoelzel W, Weykamp C, Jeppsson JO, Miedema K, Barr JR, Goodall I, et al. IFCC reference system for measurement of hemoglobin A1c in human blood and the national standardization schemes in the United States, Japan, and Sweden: a method-comparison study. Clinical chemistry. 2004;50(1):166–74. 10.1373/clinchem.2003.024802 PubMed DOI

Alberti KG, Zimmet PZ. Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation. Diabet Med. 1998;15(7):539–53. 10.1002/(SICI)1096-9136(199807)15:7<539::AID-DIA668>3.0.CO;2-S PubMed DOI

Zimmet P, Alberti KG, Kaufman F, Tajima N, Silink M, Arslanian S, et al. The metabolic syndrome in children and adolescents—an IDF consensus report. Pediatr Diabetes. 2007;8(5):299–306. 10.1111/j.1399-5448.2007.00271.x PubMed DOI

Hanson RL, Pratley RE, Bogardus C, Narayan KM, Roumain JM, Imperatore G, et al. Evaluation of simple indices of insulin sensitivity and insulin secretion for use in epidemiologic studies. Am J Epidemiol. 2000;151(2):190–8. PubMed

Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia. 1985;28(7):412–9. PubMed

Reaven GM, Chen YD, Hollenbeck CB, Sheu WH, Ostrega D, Polonsky KS. Plasma insulin, C-peptide, and proinsulin concentrations in obese and nonobese individuals with varying degrees of glucose tolerance. J Clin Endocrinol Metab. 1993;76(1):44–8. 10.1210/jcem.76.1.8421101 PubMed DOI

Retnakaran R, Qi Y, Goran MI, Hamilton JK. Evaluation of proposed oral disposition index measures in relation to the actual disposition index. Diabet Med. 2009;26(12):1198–203. 10.1111/j.1464-5491.2009.02841.x PubMed DOI

Matsuda M, DeFronzo RA. Insulin sensitivity indices obtained from oral glucose tolerance testing: comparison with the euglycemic insulin clamp. Diabetes Care. 1999;22(9):1462–70. PubMed

Kurdiova T, Balaz M, Vician M, Maderova D, Vlcek M, Valkovic L, et al. Effects of obesity, diabetes and exercise on Fndc5 gene expression and irisin release in human skeletal muscle and adipose tissue: in vivo and in vitro studies. J Physiol. 2014;592(Pt 5):1091–107. Epub 2013/12/04. PubMed PMC

Geiselman PJ, Anderson AM, Dowdy ML, West DB, Redmann SM, Smith SR. Reliability and validity of a macronutrient self-selection paradigm and a food preference questionnaire. Physiol Behav. 1998;63(5):919–28. PubMed

Tapia LU, Lizana PA, Orellana YZ, Villagran FS, Arias VF, Almagia AF, et al. Somatotype and intellectual ability (Raven Progressive Matrices Test) in Chilean school-age children. Nutr Hosp. 2013;28(5):1552–7. 10.3305/nh.2013.28.5.6735 PubMed DOI

Kewley RJ, Whitelaw ML, Chapman-Smith A. The mammalian basic helix-loop-helix/PAS family of transcriptional regulators. Int J Biochem Cell Biol. 2004;36(2):189–204. PubMed

Hossain MS, Asano F, Fujiyama T, Miyoshi C, Sato M, Ikkyu A, et al. Identification of mutations through dominant screening for obesity using C57BL/6 substrains. Sci Rep. 2016;6:32453 10.1038/srep32453 PubMed DOI PMC

Kublaoui BM, Holder JL Jr., Tolson KP, Gemelli T, Zinn AR. SIM1 overexpression partially rescues agouti yellow and diet-induced obesity by normalizing food intake. Endocrinology. 2006;147(10):4542–9. 10.1210/en.2006-0453 PubMed DOI

Balthasar N, Dalgaard LT, Lee CE, Yu J, Funahashi H, Williams T, et al. Divergence of melanocortin pathways in the control of food intake and energy expenditure. Cell. 2005;123(3):493–505. 10.1016/j.cell.2005.08.035 PubMed DOI

Farooqi IS, Yeo GS, Keogh JM, Aminian S, Jebb SA, Butler G, et al. Dominant and recessive inheritance of morbid obesity associated with melanocortin 4 receptor deficiency. J Clin Invest. 2000;106(2):271–9. 10.1172/JCI9397 PubMed DOI PMC

Melchior C, Schulz A, Windholz J, Kiess W, Schoneberg T, Korner A. Clinical and functional relevance of melanocortin-4 receptor variants in obese German children. Horm Res Paediatr. 2012;78(4):237–46. Epub 2012/11/14. 10.1159/000343816 PubMed DOI

Vaisse C, Clement K, Durand E, Hercberg S, Guy-Grand B, Froguel P. Melanocortin-4 receptor mutations are a frequent and heterogeneous cause of morbid obesity. J Clin Invest. 2000;106(2):253–62. 10.1172/JCI9238 PubMed DOI PMC

Thearle MS, Muller YL, Hanson RL, Mullins M, Abdussamad M, Tran J, et al. Greater impact of melanocortin-4 receptor deficiency on rates of growth and risk of type 2 diabetes during childhood compared with adulthood in Pima Indians. Diabetes. 2012;61(1):250–7. 10.2337/db11-0708 PubMed DOI PMC

Huszar D, Lynch CA, Fairchild-Huntress V, Dunmore JH, Fang Q, Berkemeier LR, et al. Targeted disruption of the melanocortin-4 receptor results in obesity in mice. Cell. 1997;88(1):131–41. PubMed

Xi D, Roizen J, Lai M, Gandhi N, Kublaoui B. Paraventricular nucleus Sim1 neuron ablation mediated obesity is resistant to high fat diet. PLoS One. 2013;8(11):e81087 10.1371/journal.pone.0081087 PubMed DOI PMC

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