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Machado ME, Porto LC, Nogueira JS, Sant Anna CC, Lapa E Silva JR. Genetic polymorphisms (FTO rs9939609 and TMEM18 rs6548238), adipokines (leptin and adiponectin) and adiposity in children and adolescents with asthma. J Pediatr (Rio J) 2025; 101:89-95. [PMID: 39159917 PMCID: PMC11763883 DOI: 10.1016/j.jped.2024.07.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 07/15/2024] [Accepted: 07/19/2024] [Indexed: 08/21/2024] Open
Abstract
OBJECTIVE To describe independent factors related to the interaction of FTO rs9939609, TMEM18 rs6548238, leptin, and adiponectin in children/adolescents with asthma, under the influence of obesity. METHODS The authors performed a cross-sectional study with 57 children/adolescents, ages 8-19 years, at a tertiary hospital, from 2017 to 2018. Participants were classified by nutritional status, performed spirometry with a bronchodilator test and completed an asthma questionnaire, higher scores indicated more asthma symptoms. Two asthma groups were formed: Group 1(G1)-normal-weight; Group 2(G2)-overweight/obese. Serum was collected for adipokines (n = 32) and genetic polymorphisms (n = 53) dosages. RESULTS Age and body mass index (BMI) correlated directly in normal-weight (p = 0.009) and obese participants (p = 0.004). Girls reported more asthma complaints (p = 0.044). Participants with negative bronchodilator responses presented lower BMI (14.55-17.16) than responders (19.4-26.84) (p = 0.049). Leptin dosages are related directly to BMI (5,34-40 ng/ml in obese × 0,54-42 ng/ml in nonobese) (p = 0.003). Levels were high in girls (4.78-17.55 µg/ml) (p = 0.029) and low in nonobese boys (0.54-6.92 µg/ml) (p = 0.006). In obese, low leptin levels (< 10 ng/ml) were found in small airway dysfunction carriers (p = 0.025); elevated adiponectin (> 5 µg/ml) correlated with FEV1/FVC > 80 % (p = 0.035) and positive bronchodilator tests (8.84-13 µg/ml) (p = 0.039); and FTO A allele correlated with low adiponectin 0-8.84 µg/ml (p = 0.021) and low FEV1/FVC (46 %-88 %) (p = 0.023). CONCLUSION BMI correlated directly with age and leptin levels. Obese participants presented high serum levels of leptin and FTO A allele correlated with low FEV1/FVC. Larger cohorts are necessary for better elucidation of the role of adipokines and polymorphisms in the pathophysiology of asthma and obesity.
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Affiliation(s)
- Marta Evangelho Machado
- Universidade Federal do Rio de Janeiro (UFRJ), Programa de Pós-graduação em Clínica Médica (PPGCM - HU), Rio de Janeiro, RJ, Brazil; Fundação Técnico-Educacional Souza Marques, Departamento de Pediatria - Pólo Itanhangá, Rio de Janeiro, RJ, Brazil.
| | - Luis C Porto
- Universidade do Estado do Rio de Janeiro (UERJ), Laboratório de Histocompatibilidade e Criopreservação (HLA - PPC), Rio de Janeiro, RJ, Brazil
| | - Jeane S Nogueira
- Universidade do Estado do Rio de Janeiro (UERJ), Laboratório de Histocompatibilidade e Criopreservação (HLA - PPC), Rio de Janeiro, RJ, Brazil
| | - Clemax C Sant Anna
- Universidade Federal do Rio de Janeiro (UFRJ), Programa de Pós-graduação em Clínica Médica (PPGCM - HU), Rio de Janeiro, RJ, Brazil
| | - José R Lapa E Silva
- Universidade Federal do Rio de Janeiro (UFRJ), Programa de Pós-graduação em Clínica Médica (PPGCM - HU), Rio de Janeiro, RJ, Brazil
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Singleton CMH, Brar S, Robertson N, DiTommaso L, Fuchs GJ, Schadler A, Radulescu A, Attia SL. Cardiometabolic risk factors in South American children: A systematic review and meta-analysis. PLoS One 2023; 18:e0293865. [PMID: 37992076 PMCID: PMC10664905 DOI: 10.1371/journal.pone.0293865] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 10/20/2023] [Indexed: 11/24/2023] Open
Abstract
BACKGROUND Cardiometabolic risk factors (impaired fasting glucose, abdominal obesity, high blood pressure, dyslipidemia) cluster in children, may predict adult disease burden, and are inadequately characterized in South American children. OBJECTIVES To quantify the burden of cardiometabolic risk factors in South American children (0-21 years) and identify knowledge gaps. METHODS We systematically searched PubMed, Google Scholar, and the Latin American and Caribbean Health Sciences Literature via Virtual Health Library from 2000-2021 in any language. Two independent reviewers screened and extracted all data. RESULTS 179 studies of 2,181 screened were included representing 10 countries (n = 2,975,261). 12.2% of South American children experienced obesity, 21.9% elevated waist circumference, 3.0% elevated fasting glucose, 18.1% high triglycerides, 29.6% low HDL cholesterol, and 8.6% high blood pressure. Cardiometabolic risk factor definitions varied widely. Chile exhibited the highest prevalence of obesity/overweight, low HDL, and impaired fasting glucose. Ecuador exhibited the highest prevalence of elevated blood pressure. Rural setting (vs. urban or mixed) and indigenous origin protected against most cardiometabolic risk factors. CONCLUSIONS South American children experience high rates of obesity, overweight, and dyslipidemia. International consensus on cardiometabolic risk factor definitions for children will lead to improved diagnosis of cardiometabolic risk factors in this population, and future research should ensure inclusion of unreported countries and increased representation of indigenous populations.
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Affiliation(s)
| | - Sumeer Brar
- University of Kentucky College of Medicine, Lexington, Kentucky, United States of America
| | - Nicole Robertson
- University of Kentucky College of Medicine, Lexington, Kentucky, United States of America
| | - Lauren DiTommaso
- University of Kentucky College of Medicine, Lexington, Kentucky, United States of America
| | - George J. Fuchs
- University of Kentucky College of Medicine Division of Pediatric Gastroenterology, Hepatology and Nutrition, Kentucky, United States of America
- University of Kentucky College of Public Health Department of Epidemiology, Kentucky, United States of America
| | - Aric Schadler
- University of Kentucky College of Medicine Department of Pediatrics, Kentucky, United States of America
| | - Aurelia Radulescu
- University of Kentucky College of Medicine Department of Pediatrics, Kentucky, United States of America
| | - Suzanna L. Attia
- University of Kentucky College of Medicine Division of Pediatric Gastroenterology, Hepatology and Nutrition, Kentucky, United States of America
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Fortes JS, Pinto RM, de Souza RF, Godoy FR, da Cruz RS, de M e Silva D, Filho HPL, da Cruz AD, Minasi LB. The influence of six polymorphisms of uncoupling protein 3 (UCP3) gene and childhood obesity: a case-control study. BMC Pediatr 2023; 23:87. [PMID: 36810017 PMCID: PMC9942342 DOI: 10.1186/s12887-023-03905-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Accepted: 02/13/2023] [Indexed: 02/24/2023] Open
Abstract
BACKGROUND Obesity is defined as a multifactorial disease, marked by excessive accumulation of body fat, responsible for compromising the individual's health over the years. The energy balance is essential for the proper functioning of the body, as the individual needs to earn and spend energy in a compensatory way. Mitochondrial Uncoupling Proteins (UCP) help in energy expenditure through heat release and genetic polymorphisms could be responsible for reducing energy consumption to release heat and consequently generate an excessive accumulation of fat in the body. Thus, this study aimed to investigate the potential association between six UCP3 polymorphisms, that have not yet been represented in ClinVar®, and pediatric obesity susceptibility. METHODS A case-control study was conducted with 225 children from Central Brazil. The groups were subdivided into obese (123) and eutrophic (102) individuals. The polymorphisms rs15763, rs1685354, rs1800849, rs11235972, rs647126, and rs3781907 were determined by real-time Polymerase Chain Reaction (qPCR). RESULTS Biochemical and anthropometric evaluation of obese group showed higher levels of triglycerides, insulin resistance, and LDL-C and low level of HDL-C. Insulin resistance, age, sex, HDL-C, fasting glucose, triglyceride levels, and parents' BMI explained up to 50% of body mass deposition in the studied population. Additionally, obese mothers contribute 2 × more to the Z-BMI of their children than the fathers. The SNP rs647126 contributed to 20% to the risk of obesity in children and the SNP rs3781907 contribute to 10%. Mutant alleles of UCP3 increase the risk for triglycerides, total cholesterol, and HDL-C levels. The polymorphism rs3781907 is the only one that could not be a biomarker for obesity as the risk allele seem to be protective gains the increase in Z-BMI in our pediatric population. Haplotype analysis demonstrated two SNP blocks (rs15763, rs647126, and rs1685534) and (rs11235972 and rs1800849) that showed linkage disequilibrium, with LOD 76.3% and D' = 0.96 and LOD 57.4% and D' = 0.97, respectively. CONCLUSIONS The causality between UCP3 polymorphism and obesity were not detected. On the other hand, the studied polymorphism contributes to Z-BMI, HOMA-IR, triglycerides, total cholesterol, and HDL-C levels. Haplotypes are concordant with the obese phenotype and contribute minimally to the risk of obesity.
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Affiliation(s)
- Jakeline S. Fortes
- Replicon Research Group, Genetics Graduate Program, School of Medical and Life Sciences, Pontifical Catholic University of Goiás, Rua 235, N. 40, Setor Leste Universitário, Goiânia, GO 74605-050 Brazil
- Genetics and Molecular Biology Graduate Program, Federal University of Goiás, Campus Samambaia, Goiânia, GO 74690-900 Brazil
| | - Renata M. Pinto
- Pediatrics Department, Federal University of Goiás, Câmpus Colemar Natal E Silva (Câmpus I), Rua 235, Setor Leste Universitário, Goiânia, GO Brazil
| | - Raissa F. de Souza
- Replicon Research Group, Genetics Graduate Program, School of Medical and Life Sciences, Pontifical Catholic University of Goiás, Rua 235, N. 40, Setor Leste Universitário, Goiânia, GO 74605-050 Brazil
| | - Fernanda R. Godoy
- Replicon Research Group, Genetics Graduate Program, School of Medical and Life Sciences, Pontifical Catholic University of Goiás, Rua 235, N. 40, Setor Leste Universitário, Goiânia, GO 74605-050 Brazil
- Genetics and Molecular Biology Graduate Program, Federal University of Goiás, Campus Samambaia, Goiânia, GO 74690-900 Brazil
| | - Raphael S. da Cruz
- Replicon Research Group, Genetics Graduate Program, School of Medical and Life Sciences, Pontifical Catholic University of Goiás, Rua 235, N. 40, Setor Leste Universitário, Goiânia, GO 74605-050 Brazil
- Physiotherapy Undergraduate Course, Centro Universitário de Goiânia – UNICEUG, Goiânia, GO Brazil
| | - Daniela de M e Silva
- Genetics and Molecular Biology Graduate Program, Federal University of Goiás, Campus Samambaia, Goiânia, GO 74690-900 Brazil
| | | | - Aparecido D. da Cruz
- Replicon Research Group, Genetics Graduate Program, School of Medical and Life Sciences, Pontifical Catholic University of Goiás, Rua 235, N. 40, Setor Leste Universitário, Goiânia, GO 74605-050 Brazil
- Genetics and Molecular Biology Graduate Program, Federal University of Goiás, Campus Samambaia, Goiânia, GO 74690-900 Brazil
- Human Cytogenetics and Molecular Genetics Laboratory/CRER, State Health Secretary of Goiás, Goiânia, GO Brazil
| | - Lysa B. Minasi
- Replicon Research Group, Genetics Graduate Program, School of Medical and Life Sciences, Pontifical Catholic University of Goiás, Rua 235, N. 40, Setor Leste Universitário, Goiânia, GO 74605-050 Brazil
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Kuang X, Li K, Shi Y, Shao X, Li H, Li D. Gene-diet interaction in response to defatted flaxseed flour supplementation on obesity-related traits in Chinese overweight and obese adults: A randomized controlled trial. Nutrition 2023; 105:111870. [PMID: 36368262 DOI: 10.1016/j.nut.2022.111870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 09/23/2022] [Accepted: 10/08/2022] [Indexed: 11/09/2022]
Abstract
Effects of dietary fiber on obesity-related traits in previous studies were inconsistent. The aim of the present study was to explore whether variants in genes related to satiety and appetite can modulate the effect of dietary fiber on obesity-related traits. Fifty-one overweight or obese adults were randomly allocated to two groups to consume control biscuits (n = 24) or biscuits containing defatted flaxseed flour (n = 27) at breakfast for 8 wk. Four single-nucleotide polymorphisms related to satiety and appetite were genotyped: rs11076023 on the FTO gene, rs16147 on the NPY gene, rs155971 on the PCSK1 gene, and rs6265 on the BDNF gene. A linear regression model was used to evaluate the gene-diet interaction between obesity-related traits. Compared with control biscuits, defatted flaxseed-flour biscuits significantly reduced body weight (P = 0.001) and body mass index (BMI) (P = 0.001) in A-allele carriers (AA + AT) of rs11076023 on the FTO gene but not in non-carriers (TT) (P for the interaction = 0.005 and 0.006) and decreased fasting serum glucose in participants with CC genotype (P = 0.019) but had less effect in T-allele carriers (TT + TC) (P = 0.021) of rs16147 on the NPY gene (P for the interaction = 0.002). Compared with the control biscuits, defatted flaxseed flour significantly reduced body weight (P < 0.001) in T-allele carriers (TT + TC) of rs155971 on the PCSK1 gene but not in non-carriers (CC) (P for the interaction = 0.041) and reduced body weight (P = 0.001) and BMI (P < 0.001) in A-allele carriers (AA + AG) of rs6265 on the BDNF gene but not non-carriers (GG) (P for the interaction = 0.017 and 0.018). Variants of genes related to satiety and appetite could modulate the effect of defatted flaxseed flour on obesity-related traits.
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Affiliation(s)
- Xiaotong Kuang
- Institute of Nutrition and Health, Qingdao University, China; School of Public Health, Qingdao University, Qingdao, China
| | - Kelei Li
- Institute of Nutrition and Health, Qingdao University, China; School of Public Health, Qingdao University, Qingdao, China
| | - Yan Shi
- Institute of Nutrition and Health, Qingdao University, China; School of Public Health, Qingdao University, Qingdao, China
| | - Xianfeng Shao
- Institute of Nutrition and Health, Qingdao University, China; School of Public Health, Qingdao University, Qingdao, China
| | - Huiying Li
- Institute of Nutrition and Health, Qingdao University, China; School of Public Health, Qingdao University, Qingdao, China
| | - Duo Li
- Institute of Nutrition and Health, Qingdao University, China; School of Public Health, Qingdao University, Qingdao, China.
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Nonino CB, Barato M, Ferreira FC, Delfino HBP, Noronha NY, Nicoletti CF, Junior WS, Welendorf CR, Souza DRS, Ferreira-Julio MA, Watanabe LM, de Souza Pinhel MA. DRD2 and BDNF polymorphisms are associated with binge eating disorder in patients with weight regain after bariatric surgery. Eat Weight Disord 2022; 27:1505-1512. [PMID: 34478125 DOI: 10.1007/s40519-021-01290-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 08/06/2021] [Indexed: 12/23/2022] Open
Abstract
AIM The aim of this study was to analyze the association and susceptibility of Single Nucleotide Polymorphisms (SNPs) in the DRD2 and BDNF genes with BED in patients with weight regain in the postoperative period of bariatric surgery. METHODS One hundred and seventy-seven individuals who underwent bariatric surgery with weight regain were evaluated and divided into two groups according to the BED diagnostic. The individuals were submitted to an anthropometric evaluation, analysis of the presence of BED using a validated questionnaire, and blood collection for genotyping of the polymorphisms rs6265 (BDNF) and rs1800497 (DRD2) by real-time polymerase chain reaction (RT-PCR). RESULTS The presence of wild-type alleles for rs1800497 (CC) and rs6265 (GG) was more frequent in patients without BED. Nevertheless, the presence of one or two variant alleles for rs1800497 (CT + TT) and rs6265 (GA + AA) was more frequent in patients with BED. The combination of the two studied SNPs prevailed in patients with BED. CONCLUSIONS The presence of allele frequency of rs1800497 SNP in the DRD2 gene and rs6265 SNP in the BDNF gene, isolated and/or combined, indicated an additional risk for the development of BED in patients with obesity, especially in the context of weight regain. LEVEL OF EVIDENCE III (evidence obtained from the case-control analytic study).
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Affiliation(s)
- Carla Barbosa Nonino
- Laboratory of Nutrigenomic Studies, FMRP/USP, Department of Health Sciences, Ribeirao Preto Medical School, University of Sao Paulo, Av Bandeirantes, 3900, Monte Alegre, Ribeirão Preto, SP, 14049-900, Brazil.
| | - Mariana Barato
- Department of Molecular Biology, Sao Jose Do Rio Preto Medical School, São José Do Rio Preto, SP, Brazil
| | - Flávia Campos Ferreira
- Laboratory of Nutrigenomic Studies, FMRP/USP, Department of Health Sciences, Ribeirao Preto Medical School, University of Sao Paulo, Av Bandeirantes, 3900, Monte Alegre, Ribeirão Preto, SP, 14049-900, Brazil
| | - Heitor Bernardes Pereira Delfino
- Laboratory of Nutrigenomic Studies, FMRP/USP, Department of Health Sciences, Ribeirao Preto Medical School, University of Sao Paulo, Av Bandeirantes, 3900, Monte Alegre, Ribeirão Preto, SP, 14049-900, Brazil
| | - Natalia Yumi Noronha
- Laboratory of Nutrigenomic Studies, FMRP/USP, Department of Health Sciences, Ribeirao Preto Medical School, University of Sao Paulo, Av Bandeirantes, 3900, Monte Alegre, Ribeirão Preto, SP, 14049-900, Brazil
| | - Carolina Ferreira Nicoletti
- Laboratory of Nutrigenomic Studies, FMRP/USP, Department of Health Sciences, Ribeirao Preto Medical School, University of Sao Paulo, Av Bandeirantes, 3900, Monte Alegre, Ribeirão Preto, SP, 14049-900, Brazil
| | - Wilson Salgado Junior
- Department of Surgery and Anatomy, Ribeirao Preto Medical School, Ribeirão Preto, SP, Brazil
| | - Caroline Rossi Welendorf
- Laboratory of Nutrigenomic Studies, FMRP/USP, Department of Health Sciences, Ribeirao Preto Medical School, University of Sao Paulo, Av Bandeirantes, 3900, Monte Alegre, Ribeirão Preto, SP, 14049-900, Brazil
| | - Doroteia Rossi Silva Souza
- Department of Molecular Biology, Sao Jose Do Rio Preto Medical School, São José Do Rio Preto, SP, Brazil
| | | | - Ligia Moriguchi Watanabe
- Laboratory of Nutrigenomic Studies, FMRP/USP, Department of Health Sciences, Ribeirao Preto Medical School, University of Sao Paulo, Av Bandeirantes, 3900, Monte Alegre, Ribeirão Preto, SP, 14049-900, Brazil
| | - Marcela Augusta de Souza Pinhel
- Laboratory of Nutrigenomic Studies, FMRP/USP, Department of Health Sciences, Ribeirao Preto Medical School, University of Sao Paulo, Av Bandeirantes, 3900, Monte Alegre, Ribeirão Preto, SP, 14049-900, Brazil
- Department of Molecular Biology, Sao Jose Do Rio Preto Medical School, São José Do Rio Preto, SP, Brazil
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Associations between Gene-Gene Interaction and Overweight/Obesity of 12-Month-Old Chinese Infants. BIOMED RESEARCH INTERNATIONAL 2022; 2022:1499454. [PMID: 35295960 PMCID: PMC8920651 DOI: 10.1155/2022/1499454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 02/07/2022] [Accepted: 02/12/2022] [Indexed: 11/18/2022]
Abstract
Background Childhood overweight and obesity (OW/OB) is a worldwide public health problem, and its genetic risks remain unclear. Objectives To investigate risks of OW/OB associated with genetic variances in SEC16B rs543874 and rs10913469, BDNF rs11030104 and rs6265, NT5C2 rs11191580, PTBP2 rs11165675, ADCY9 rs2531995, FAM120A rs7869969, KCNQ1 rs2237892, and C4orf33 rs2968990 in Chinese infants at 12-month old. Methods We conducted a case-control study with 734 infants included at delivery and followed up to 12-month old. The classification and regression tree analysis were used to generate the structure of the gene-gene interactions, while the unconditional multivariate logistic regression models were applied to analyze the single SNP, gene-gene interactions, and cumulative effects of the genotypes on OW/OB, adjusted for potential confounders. Results There were 219 (29.84%) OW/OB infants. Rs543874 G allele and rs11030104 AA genotype increased the risk of OW/OB in 12-month-old infants (P < 0.05). Those carrying both rs11030104 AA genotype and rs10913469 C allele had 4.3 times greater OW/OB than those carrying rs11030104 G allele, rs11191580 C allele, rs11165675 A allele, and rs543874 AA genotype. Meanwhile, the risk of OW/OB increased with the number of the risk genotypes individuals harbored. Conclusions Rs543874, rs11030104, and rs11191580 were associated with OW/OB in 12-month-old Chinese infants, and the three SNPs together with rs10913469 and rs11165675 had a combined effect on OW/OB.
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de Castilhos JK, Campagnolo PDB, de Almeida S, Vitolo MR, Mattevi VS. Impact of maternal dietary counseling in the first year of life on DNA methylation in a cohort of children. Genet Mol Biol 2021; 44:e20200330. [PMID: 34874049 PMCID: PMC8670011 DOI: 10.1590/1678-4685-gmb-2020-0330] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Accepted: 09/28/2021] [Indexed: 01/16/2023] Open
Abstract
Epigenetic modifications established during prenatal and early life, including DNA methylation, have been suggested as potential mediators of the interaction between environmental exposures during the perinatal period and adult metabolic health adverse outcomes, especially cardiometabolic complications and overweight. The effect of a dietary intervention in the first year of life on global methylation levels in leukocyte samples from a cohort of children born between 2001 and 2002 in southern Brazil was examined. Overall methylation measurements were performed using enzyme-linked immunosorbent assays on DNA samples from 237 children at 4 years old. Mean methylation values were higher in the intervention group (mean: 2.20 ± 1.31%) than in the control group (mean: 1.65 ± 1.11%; P = 0.001). It was observed that nutritional counseling in the first year increased breastfeeding duration and stimulated the development of healthier eating habits. Therefore, these factors might have contributed to increase global DNA methylation. The findings of the present study reinforce the notion that performing nutritional interventions in the early stages of life is important and provide further evidence of the interaction between the environment and epigenetic traits.
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Affiliation(s)
| | | | - Silvana de Almeida
- Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, RS, Brazil
| | - Márcia Regina Vitolo
- Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, RS, Brazil
| | - Vanessa Suñé Mattevi
- Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, RS, Brazil
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Castro GV, Latorre AFS, Korndorfer FP, de Carlos Back LK, Lofgren SE. The Impact of Variants in Four Genes: MC4R, FTO, PPARG and PPARGC1A in Overweight and Obesity in a Large Sample of the Brazilian Population. Biochem Genet 2021; 59:1666-1679. [PMID: 34057646 DOI: 10.1007/s10528-021-10079-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2020] [Accepted: 05/11/2021] [Indexed: 12/18/2022]
Abstract
Obesity and overweight are worldwide public health problems with an evident genetic predisposition that is still poorly understood. In addition, great variability has been described across populations. In this work, we analyzed the association of variants in four genes: PPARG (rs1801282), PPARGC1A (rs8192678), FTO (rs9939609) and MC4R (rs17782313) with overweight and obesity in a large sample of the Brazilian population. The case-control study involved 4084 individuals (1844 with overweight or obesity; and 2240 with normal BMI). Genotyping was performed by quantitative PCR. MC4R rs17782313-C was associated with obesity (OR = 1.27, p = 0.038) and when stratifying by sex associated only in women (OR = 1.36, p = 0.030). FTO rs9939609-A allele was associated with overweight however for women it represented a risk factor (OR = 1.24, p = 0.034) and for men, a protective factor (OR = 0.68, p = 0.033). PPARG was the strongest associated gene, with both overweight and obesity, and this association was also restricted to women (rs1801282-GG OR = 1.46, p = 0.027). The combined effect of the three risk alleles on overweight and obesity had an OR of 1.65 (p = 0.008) and when stratifying by sex again it was significant only in females (OR = 1.95, p = 0.0028). Our findings indicate that the three genes play a significant role in predisposing to overweight and/or obesity in the Brazilian population, reaching together a relatively high impact on these traits. Interestingly our results also suggest a strong sex-specific genetic effect of these variants.
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Affiliation(s)
- Gabriel Vaisam Castro
- Biogenetika Individualized Medicine, Florianopolis, Santa Catarina, Brazil.,Department of Cell Biology, Embriology and Genetics, Federal University of Santa Catarina, Florianopolis, Santa Catarina, Brazil
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Buch AM, Liston C. Dissecting diagnostic heterogeneity in depression by integrating neuroimaging and genetics. Neuropsychopharmacology 2021; 46:156-175. [PMID: 32781460 PMCID: PMC7688954 DOI: 10.1038/s41386-020-00789-3] [Citation(s) in RCA: 142] [Impact Index Per Article: 35.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 07/07/2020] [Accepted: 07/16/2020] [Indexed: 12/12/2022]
Abstract
Depression is a heterogeneous and etiologically complex psychiatric syndrome, not a unitary disease entity, encompassing a broad spectrum of psychopathology arising from distinct pathophysiological mechanisms. Motivated by a need to advance our understanding of these mechanisms and develop new treatment strategies, there is a renewed interest in investigating the neurobiological basis of heterogeneity in depression and rethinking our approach to diagnosis for research purposes. Large-scale genome-wide association studies have now identified multiple genetic risk variants implicating excitatory neurotransmission and synapse function and underscoring a highly polygenic inheritance pattern that may be another important contributor to heterogeneity in depression. Here, we review various sources of phenotypic heterogeneity and approaches to defining and studying depression subtypes, including symptom-based subtypes and biology-based approaches to decomposing the depression syndrome. We review "dimensional," "categorical," and "hybrid" approaches to parsing phenotypic heterogeneity in depression and defining subtypes using functional neuroimaging. Next, we review recent progress in neuroimaging genetics (correlating neuroimaging patterns of brain function with genetic data) and its potential utility for generating testable hypotheses concerning molecular and circuit-level mechanisms. We discuss how genetic variants and transcriptomic profiles may confer risk for depression by modulating brain structure and function. We conclude by highlighting several promising areas for future research into the neurobiological underpinnings of heterogeneity, including efforts to understand sexually dimorphic mechanisms, the longitudinal dynamics of depressive episodes, and strategies for developing personalized treatments and facilitating clinical decision-making.
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Affiliation(s)
- Amanda M Buch
- Department of Psychiatry and Brain and Mind Research Institute, Weill Cornell Medicine, 413 East 69th Street, Box 240, New York, NY, 10021, USA
| | - Conor Liston
- Department of Psychiatry and Brain and Mind Research Institute, Weill Cornell Medicine, 413 East 69th Street, Box 240, New York, NY, 10021, USA.
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Marcos-Pasero H, Aguilar-Aguilar E, Ikonomopoulou MP, Loria-Kohen V. BDNF Gene as a Precision Skill of Obesity Management. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1331:233-248. [PMID: 34453302 DOI: 10.1007/978-3-030-74046-7_15] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
The scarcity of the results obtained for the treatment of obesity leads us to consider new strategies, contemplating all the factors involved in the development of the disease. One of the key molecules for controlling body weight and energy homeostasis is the brain-derived neurotrophic factor (BDNF). This work summarizes the mechanisms in which BDNF gene regulates this multifactorial disease. In addition, we discuss the role of other BDNF polymorphisms as genetic determinants of obesity. In this context, a total of 14 SNPs near or inside BDNF/BDNF-AS related to BMI were identified in various GWASs. Finally, we assess gene-diet interaction as a novel tool to prevent obesity and formulate solid and personalized nutritional management. Our research group has performed the first study on the association of BDNF-AS rs925946 polymorphism and calcium intake as potential modulators of the nutritional status. Although these results should be confirmed in future studies, they open the path for new prevention opportunities.
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Affiliation(s)
- Helena Marcos-Pasero
- Nutrition and Clinical Trials Unit, GENYAL Platform, IMDEA-Food Institute, CEI UAM + CSIC, Madrid, Spain
| | - Elena Aguilar-Aguilar
- Nutrition and Clinical Trials Unit, GENYAL Platform, IMDEA-Food Institute, CEI UAM + CSIC, Madrid, Spain
| | - Maria P Ikonomopoulou
- Translational Venomics Group, IMDEA-Food, CEI UAM+CSIC, Madrid, Spain.,Institute for Molecular Bioscience, The University of Queensland, St Lucia, Australia
| | - Viviana Loria-Kohen
- Nutrition and Clinical Trials Unit, GENYAL Platform, IMDEA-Food Institute, CEI UAM + CSIC, Madrid, Spain. .,Department of Nutrition and Food Science, Faculty of Pharmacy, Complutense University of Madrid, Madrid, Spain.
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Rana S, Mobin M. Association of the NEGR1 rs2815752 with obesity and related traits in Pakistani females. Ups J Med Sci 2020; 125:226-234. [PMID: 32419576 PMCID: PMC7875551 DOI: 10.1080/03009734.2020.1756996] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Revised: 04/13/2020] [Accepted: 04/14/2020] [Indexed: 12/16/2022] Open
Abstract
Introduction: The variant NEGR1 rs2815752 has recently been linked with obesity in Caucasians. However, a very limited number of studies have examined the association of the NEGR1 rs2815752 with overweight/obesity in non-Caucasians with no such study ever performed in Pakistani population. Therefore, the present study was undertaken to seek the association of the rs2815752 with overweight, obesity, and related traits in Pakistanis.Subjects and methods: The study involved 112 overweight/control pairs (total 224) and 194 obese/control pairs (total 388). Anthropometric parameters were measured by employing standard procedures. Metabolic parameters were determined by biochemical assays. Behavioral information was collected through a questionnaire. The rs2815752 was genotyped via TaqMan allelic discrimination assay. Regression analyses were employed to analyze the data in SPSS software.Results: The study revealed significant gender-specific association of the rs2815752 with obesity (OR 3.03; CI 1.19-7.72, p = 0.020) and some obesity-related anomalous anthropometric traits (weight, BMI, waist circumference, hip circumference, and abdominal and supra-iliac skinfold thicknesses) in females according to dominant model (h = 0.023). However, no association of the rs2815752 with obesity-related behavioral and metabolic parameters was observed.Conclusion: The NEGR1 rs2815752 may be associated with obese phenotype and some of the related anthropometric traits in Pakistani females.
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Affiliation(s)
- Sobia Rana
- Molecular Biology and Human Genetics Laboratory, Dr. Panjwani Center for Molecular Medicine and Drug Research (PCMD), International Center for Chemical and Biological Sciences (ICCBS), University of Karachi, Karachi, Pakistan
| | - Maha Mobin
- Molecular Biology and Human Genetics Laboratory, Dr. Panjwani Center for Molecular Medicine and Drug Research (PCMD), International Center for Chemical and Biological Sciences (ICCBS), University of Karachi, Karachi, Pakistan
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12
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Evaluation of the Predictive Ability, Environmental Regulation and Pharmacogenetics Utility of a BMI-Predisposing Genetic Risk Score during Childhood and Puberty. J Clin Med 2020; 9:jcm9061705. [PMID: 32498346 PMCID: PMC7355743 DOI: 10.3390/jcm9061705] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Revised: 05/20/2020] [Accepted: 05/29/2020] [Indexed: 11/28/2022] Open
Abstract
Polygenetic risk scores (pGRSs) consisting of adult body mass index (BMI) genetic variants have been widely associated with obesity in children populations. The implication of such obesity pGRSs in the development of cardio-metabolic alterations during childhood as well as their utility for the clinical prediction of pubertal obesity outcomes has been barely investigated otherwise. In the present study, we evaluated the utility of an adult BMI predisposing pGRS for the prediction and pharmacological management of obesity in Spanish children, further investigating its implication in the appearance of cardio-metabolic alterations. For that purpose, we counted on genetics data from three well-characterized children populations (composed of 574, 96 and 124 individuals), following both cross-sectional and longitudinal designs, expanding childhood and puberty. As a result, we demonstrated that the pGRS is strongly associated with childhood BMI Z-Score (B = 1.56, SE = 0.27 and p-value = 1.90 × 10−8), and that could be used as a good predictor of obesity longitudinal trajectories during puberty. On the other hand, we showed that the pGRS is not associated with cardio-metabolic comorbidities in children and that certain environmental factors interact with the genetic predisposition to the disease. Finally, according to the results derived from a weight-reduction metformin intervention in children with obesity, we discarded the utility of the pGRS as a pharmacogenetics marker of metformin response.
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Araujo WRM, Santos IS, Menezes NA, de Souza MTCC, da Cunha AJLA, Matijasevich A. Brazilian cohorts with potential for life-course studies: a scoping review. Rev Saude Publica 2020; 54:48. [PMID: 32491093 PMCID: PMC7234216 DOI: 10.11606/s1518-8787.2020054001825] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2019] [Accepted: 08/19/2019] [Indexed: 12/22/2022] Open
Abstract
OBJECTIVE To identify the Brazilian cohorts that started either in the prenatal period or at birth, to describe their characteristics and the explored variables, and to map the cohorts with potential for studies on early determinants on health and the risk of falling ill on later stages of the life cycle. METHODS A scoping review was carried out. The articles were searched in the electronic databases PubMed and Virtual Health Library (VHL). The descriptors used were [((("Child" OR "Child, Preschool" OR "Infant" OR "Infant, Newborn") AND (Cohort Studies" OR "Longitudinal Studies")) AND "Brazil")]. The inclusion criteria were Brazilian cohorts that started the baseline in the prenatal period or at birth and with at least two follow-ups with the participants. In order to meet the concept of LCE, we excluded those cohorts whose follow-ups were restricted to the first year of life, as well as those that did not address biological, behavioral and psychosocial aspects, and cohorts with data collection of a single stage of the life cycle. RESULTS The search step identified 5,010 articles. Eighteen cohorts were selected for descriptive synthesis. The median number of baseline participants was 2,000 individuals and the median age at the last follow-up was 9 years. Sample loss at the last follow-up ranged from 9.2 to 87.5%. Most cohorts monitored two phases of the life cycle (the perinatal period and childhood). The Southern region had the highest number of cohorts. The main variables collected were sociodemographic and environmental aspects of the family, morbidity aspects, nutritional practices and lifestyle. CONCLUSIONS We recommend the continuity of these cohorts, the approach to different social contexts and the performance of follow-ups with participants in different phases of the life cycle for the strengthening and expansion of life course epidemiology analyses in Brazil.
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Affiliation(s)
- Waleska Regina Machado Araujo
- Universidade de São Paulo. Faculdade de MedicinaPrograma de Pós-Graduação em Saúde ColetivaSão PauloSPBrasilUniversidade de São Paulo. Faculdade de Medicina. Programa de Pós-Graduação em Saúde Coletiva. São Paulo, SP, Brasil
| | - Iná S. Santos
- Pontifícia Universidade Católica do Rio Grande do SulPrograma de Pós-Graduação em Pediatria e Saúde da CriançaPorto AlegreRSBrasilPontifícia Universidade Católica do Rio Grande do Sul. Programa de Pós-Graduação em Pediatria e Saúde da Criança. Porto Alegre, RS, Brasil
| | - Naercio Aquino Menezes
- Universidade de São PauloFaculdade de Economia e AdministraçãoDepartamento de Economia.São PauloSPBrasilUniversidade de São Paulo. Faculdade de Economia e Administração. Departamento de Economia. São Paulo, SP, Brasil
| | - Maria Thereza Costa Coelho de Souza
- Universidade de São PauloInstituto de PsicologiaDepartamento de Psicologia da aprendizagem, do desenvolvimento e da personalidadeSão PauloSPBrasilUniversidade de São Paulo. Instituto de Psicologia. Departamento de Psicologia da aprendizagem, do desenvolvimento e da personalidade. São Paulo, SP, Brasil
| | - Antonio Jose Ledo Alves da Cunha
- Universidade Federal do Rio de JaneiroFaculdade de MedicinaDepartamento de PediatriaRio de JaneiroRJBrasilUniversidade Federal do Rio de Janeiro. Faculdade de Medicina. Departamento de Pediatria. Rio de Janeiro, RJ, Brasil
| | - Alicia Matijasevich
- Universidade de São PauloFaculdade de MedicinaDepartamento de Medicina PreventivaSão PauloSPBrasilUniversidade de São Paulo. Faculdade de Medicina. Departamento de Medicina Preventiva. São Paulo, SP, Brasil
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Obesity-related loci in TMEM18, CDKAL1 and FAIM2 are associated with obesity and type 2 diabetes in Chinese Han patients. BMC MEDICAL GENETICS 2020; 21:65. [PMID: 32228543 PMCID: PMC7106578 DOI: 10.1186/s12881-020-00999-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/16/2019] [Accepted: 03/16/2020] [Indexed: 12/18/2022]
Abstract
Background Several obesity susceptibility loci in genes, including GNPDA2, SH2B1, TMEM18, MTCH2, CDKAL1, FAIM2, and MC4R, have been identified by genome-wide association studies. The purpose of this study was to investigate whether these loci are associated with the concurrence of obesity and type 2 diabetes in Chinese Han patients. Methods Using the SNaPshot technique, we genotyped seven single nucleotide polymorphisms (SNPs) in 439 Chinese patients living in Northeast China who presented at The Second Hospital of Jilin University. We analyzed the associations between these seven alleles and clinical characteristics. Results Risk alleles near TMEM18 (rs6548238) were associated with increased waist circumference, waist/hip ratio, body mass index (BMI), fasting plasma glucose, hemoglobin A1c, diastolic blood pressure, triglycerides, total cholesterol, and low-density lipoprotein-cholesterol; risk alleles of CDKAL1 (rs7754840) were associated with increased waist circumference and waist/hip ratio; and FAIM2 (rs7138803) risk alleles were linked to increased BMI, diastolic blood pressure, and triglycerides (all P < 0.05). After adjusting for sex and age, loci near TMEM18 (rs6548238) and FAIM2 (rs7138803), but not SH2B1 (rs7498665), near GNPDA2 (rs10938397), MTCH2 (rs10838738) and near MC4R (rs12970134), were associated with increased risk for type 2 diabetes in obese individuals. Conclusion We found that loci near TMEM18 (rs6548238), CDKAL1 (rs7754840), and FAIM2 (rs7138803) may be associated with obesity-related indicators, and loci near TMEM18 (rs6548238) and FAIM2 (rs7138803) may increase susceptibility of concurrent type 2 diabetes associated with obesity.
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Park S, Yoo HJ, Jee SH, Lee JH, Kim M. Weighting approaches for a genetic risk score and an oxidative stress score for predicting the incidence of obesity. Diabetes Metab Res Rev 2020; 36:e3230. [PMID: 31654550 DOI: 10.1002/dmrr.3230] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Revised: 09/09/2019] [Accepted: 10/06/2019] [Indexed: 12/20/2022]
Abstract
BACKGROUND We aimed to predict the incidence of obesity in a Korean population using a genetic risk score (GRS) constructed with obesity-related single nucleotide polymorphisms (SNPs) along with an oxidative stress score (OSS). METHODS A total of 9460 Korean subjects and 356 974 SNPs were included. The GRS was constructed using three significant obesity-related SNP loci, and the OSS was calculated with three reliable oxidative stress biomarkers. RESULTS The GRS showed a more significant association with increased obesity (OR = 2.879) than did individual SNPs after adjusting for age and sex. Three oxidative stress biomarkers, including malondialdehyde, oxidized low-density lipoprotein, and 8-epi-prostaglandin F2α , showed significantly high levels in the obese group. The OSS, which was the sum of each oxidative stress biomarker score, showed a markedly high association with the incidence of obesity, with an OR of 3.213. Based on the results of the regression tests and a receiver-operating characteristic (ROC) curve analysis, we found that HOMA-IR, high-sensitivity C-reactive protein (hs-CRP), the GRS, and the OSS were the most relevant factors for the increased risk of obesity and were significantly associated with the incidence of obesity. The area under the ROC curve was improved when the GRS was added to the model (from 74.2% to 75.1%). CONCLUSIONS We first identified that subjects with an obesity GRS and a high OSS might have a higher risk of obesity. Our findings and weighting approaches were effective in predicting the incidence of obesity; furthermore, the GRS is a relevant factor that significantly predicts the risk of obesity.
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Affiliation(s)
- Seonmin Park
- Department of Science for Aging, Graduate School of Yonsei University, Seoul, Korea
| | - Hye Jin Yoo
- Research Center for Silver Science, Institute of Symbiotic Life-TECH, Yonsei University, Seoul, Korea
- National Leading Research Laboratory of Clinical Nutrigenetics/Nutrigenomics, Department of Food and Nutrition, College of Human Ecology, Yonsei University, Seoul, Korea
| | - Sun Ha Jee
- Department of Epidemiology and Health Promotion, Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Korea
| | - Jong Ho Lee
- Research Center for Silver Science, Institute of Symbiotic Life-TECH, Yonsei University, Seoul, Korea
- National Leading Research Laboratory of Clinical Nutrigenetics/Nutrigenomics, Department of Food and Nutrition, College of Human Ecology, Yonsei University, Seoul, Korea
| | - Minjoo Kim
- Research Center for Silver Science, Institute of Symbiotic Life-TECH, Yonsei University, Seoul, Korea
- National Leading Research Laboratory of Clinical Nutrigenetics/Nutrigenomics, Department of Food and Nutrition, College of Human Ecology, Yonsei University, Seoul, Korea
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16
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Bradfield JP, Vogelezang S, Felix JF, Chesi A, Helgeland Ø, Horikoshi M, Karhunen V, Lowry E, Cousminer DL, Ahluwalia TS, Thiering E, Boh ETH, Zafarmand MH, Vilor-Tejedor N, Wang CA, Joro R, Chen Z, Gauderman WJ, Pitkänen N, Parra EJ, Fernandez-Rhodes L, Alyass A, Monnereau C, Curtin JA, Have CT, McCormack SE, Hollensted M, Frithioff-Bøjsøe C, Valladares-Salgado A, Peralta-Romero J, Teo YY, Standl M, Leinonen JT, Holm JC, Peters T, Vioque J, Vrijheid M, Simpson A, Custovic A, Vaudel M, Canouil M, Lindi V, Atalay M, Kähönen M, Raitakari OT, van Schaik BDC, Berkowitz RI, Cole SA, Voruganti VS, Wang Y, Highland HM, Comuzzie AG, Butte NF, Justice AE, Gahagan S, Blanco E, Lehtimäki T, Lakka TA, Hebebrand J, Bonnefond A, Grarup N, Froguel P, Lyytikäinen LP, Cruz M, Kobes S, Hanson RL, Zemel BS, Hinney A, Teo KK, Meyre D, North KE, Gilliland FD, Bisgaard H, Bustamante M, Bonnelykke K, Pennell CE, Rivadeneira F, Uitterlinden AG, Baier LJ, Vrijkotte TGM, Heinrich J, Sørensen TIA, Saw SM, Pedersen O, Hansen T, Eriksson J, Widén E, McCarthy MI, Njølstad PR, Power C, Hyppönen E, Sebert S, Brown CD, Järvelin MR, Timpson NJ, Johansson S, Hakonarson H, Jaddoe VWV, Struan F A Grant for the Early Growth Genetics Consortium. A trans-ancestral meta-analysis of genome-wide association studies reveals loci associated with childhood obesity. Hum Mol Genet 2019; 28:3327-3338. [PMID: 31504550 PMCID: PMC6859434 DOI: 10.1093/hmg/ddz161] [Citation(s) in RCA: 80] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Revised: 06/20/2019] [Accepted: 07/02/2019] [Indexed: 01/04/2023] Open
Abstract
Although hundreds of genome-wide association studies-implicated loci have been reported for adult obesity-related traits, less is known about the genetics specific for early-onset obesity and with only a few studies conducted in non-European populations to date. Searching for additional genetic variants associated with childhood obesity, we performed a trans-ancestral meta-analysis of 30 studies consisting of up to 13 005 cases (≥95th percentile of body mass index (BMI) achieved 2-18 years old) and 15 599 controls (consistently <50th percentile of BMI) of European, African, North/South American and East Asian ancestry. Suggestive loci were taken forward for replication in a sample of 1888 cases and 4689 controls from seven cohorts of European and North/South American ancestry. In addition to observing 18 previously implicated BMI or obesity loci, for both early and late onset, we uncovered one completely novel locus in this trans-ancestral analysis (nearest gene, METTL15). The variant was nominally associated with only the European subgroup analysis but had a consistent direction of effect in other ethnicities. We then utilized trans-ancestral Bayesian analysis to narrow down the location of the probable causal variant at each genome-wide significant signal. Of all the fine-mapped loci, we were able to narrow down the causative variant at four known loci to fewer than 10 single nucleotide polymorphisms (SNPs) (FAIM2, GNPDA2, MC4R and SEC16B loci). In conclusion, an ethnically diverse setting has enabled us to both identify an additional pediatric obesity locus and further fine-map existing loci.
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Affiliation(s)
- Jonathan P Bradfield
- Center for Applied Genomics, Children’s Hospital of Philadelphia, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Quantinuum Research LLC, San Diego, CA, USA
| | - Suzanne Vogelezang
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Janine F Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Alessandra Chesi
- Division of Human Genetics, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Center for Spatial and Functional Genomics, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Øyvind Helgeland
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Genetics and Bioinformatics, Health Data and Digitalization, Norwegian Institute of Public Health, Oslo, Norway
| | - Momoko Horikoshi
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
- RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan
| | - Ville Karhunen
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, W2 1PG, UK
| | - Estelle Lowry
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, PO Box 8000, FI-90014 Oulun yliopisto, Finland
| | - Diana L Cousminer
- Division of Human Genetics, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Center for Spatial and Functional Genomics, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Genetics, University of Pennsylvania, Philadelphia
| | - Tarunveer S Ahluwalia
- Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital 2820, University of Copenhagen, Copenhagen, Denmark
- Steno Diabetes Center Copenhagen, Gentofte, Denmark
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Elisabeth Thiering
- Helmholtz Zentrum München—German Research Center for Environmental Health, Institute of Epidemiology, Neuherberg, Germany
- Ludwig Maximilians University of Munich, Dr. von Hauner Children’s Hospital, Munich, Germany
| | - Eileen Tai-Hui Boh
- Saw Swee Hock School of Public Health, National University of Singapore, National University Health System, Singapore, Singapore
| | - Mohammad H Zafarmand
- Department of Public Health, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, The Netherlands
- Department of Clinical Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, The Netherlands
| | - Natalia Vilor-Tejedor
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Universitat Pompeu Fabra, Barcelona, Spain
- CIBER de Epidemiología y Salud Pública, Madrid, Spain
- Centre for Genomic Regulation, The Barcelona Institute of Science and Technology, Dr. Aiguader 88, 08003 Barcelona, Spain
- BarcelonaBeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain
| | - Carol A Wang
- School of Medicine and Public Health, Faculty of Medicine and Health, The University of Newcastle
| | - Raimo Joro
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio Campus, Finland
| | - Zhanghua Chen
- Department of Preventive Medicine, University of Southern California, Los Angeles, California, USA
| | - William J Gauderman
- Department of Preventive Medicine, University of Southern California, Los Angeles, California, USA
| | - Niina Pitkänen
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku 20521, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku 20014, Finland
| | - Esteban J Parra
- Department of Anthropology, University of Toronto at Mississauga, Mississauga, ON, Canada
| | - Lindsay Fernandez-Rhodes
- Department of Biobehavioral Health, Pennsylvania State University
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Akram Alyass
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
| | - Claire Monnereau
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - John A Curtin
- Division of Infection, Immunity and Respiratory Medicine, School of Biological Sciences, The University of Manchester, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust
| | - Christian T Have
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Shana E McCormack
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Division of Endocrinology and Diabetes, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Mette Hollensted
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Christine Frithioff-Bøjsøe
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- The Children’s Obesity Clinic, Department of Pediatrics, Copenhagen University Hospital Holbæk, Holbæk, Denmark
| | - Adan Valladares-Salgado
- Unidad de Investigacion Medica en Bioquımica, Hospital de Especialidades, Centro Medico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | - Jesus Peralta-Romero
- Unidad de Investigacion Medica en Bioquımica, Hospital de Especialidades, Centro Medico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | - Yik-Ying Teo
- Saw Swee Hock School of Public Health, National University of Singapore, National University Health System, Singapore, Singapore
- NUS Graduate School for Integrative Science and Engineering, National University of Singapore, Singapore, 119077, Singapore
- Department of Statistics and Applied Probability, National University of Singapore, Singapore, Singapore
- Life Sciences Institute, National University of Singapore, Singapore, 117456, Singapore
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, 138672, Singapore
| | - Marie Standl
- Helmholtz Zentrum München—German Research Center for Environmental Health, Institute of Epidemiology, Neuherberg, Germany
| | - Jaakko T Leinonen
- Institute for Molecular Medicine Finland, FIMM, University of Helsinki, Finland
| | - Jens-Christian Holm
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- The Children’s Obesity Clinic, Department of Pediatrics, Copenhagen University Hospital Holbæk, Holbæk, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Triinu Peters
- Department of Child and Adolescent Psychiatry, University Hospital Essen, University of Duisburg-Essen, Germany
| | - Jesus Vioque
- CIBER de Epidemiología y Salud Pública, Madrid, Spain
- University Miguel Hernandez, Alicante, Spain
- ISABIAL–FISABIO Foundation, Alicante, Spain
| | - Martine Vrijheid
- ISGlobal, Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- CIBER de Epidemiología y Salud Pública, Madrid, Spain
| | - Angela Simpson
- Division of Infection, Immunity and Respiratory Medicine, School of Biological Sciences, The University of Manchester, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust
| | | | - Marc Vaudel
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Mickaël Canouil
- CNRS UMR 8199, European Genomic Institute for Diabetes, Institut Pasteur de Lille, University of Lille, Lille, France
| | - Virpi Lindi
- University of Eastern Finland Library, Kuopio, Finland
| | - Mustafa Atalay
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio Campus, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, Tampere 33521, Finland
- Department of Clinical Physiology, Finnish Cardiovascular Research Center—Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere 33014, Finland
| | - Olli T Raitakari
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku 20521, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku 20014, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Finland
| | - Barbera D C van Schaik
- Department of Clinical Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, The Netherlands
| | - Robert I Berkowitz
- Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | | | - V Saroja Voruganti
- Department of Nutrition and Nutrition Research Institute, University of North Carolina at Chapel Hill
| | - Yujie Wang
- Department of Epidemiology, University of North Carolina at Chapel Hill
| | | | | | - Nancy F Butte
- Department of Pediatrics, Baylor College of Medicine
| | - Anne E Justice
- Department of Epidemiology, University of North Carolina at Chapel Hill
- Biomedical and Translational Informatics, Geisinger Health System
| | - Sheila Gahagan
- Center for Community Health, Department of Pediatrics, University of California at San Diego
| | - Estela Blanco
- Center for Community Health, Department of Pediatrics, University of California at San Diego
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere 33520, Finland
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center—Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere 33014, Finland
| | - Timo A Lakka
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio Campus, Finland
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland
- Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Johannes Hebebrand
- Department of Child and Adolescent Psychiatry, University Hospital Essen, University of Duisburg-Essen, Germany
| | - Amélie Bonnefond
- CNRS UMR 8199, European Genomic Institute for Diabetes, Institut Pasteur de Lille, University of Lille, Lille, France
- Department of Medicine, Section of Genomics of Common Disease, Imperial College London, London, UK
| | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Philippe Froguel
- CNRS UMR 8199, European Genomic Institute for Diabetes, Institut Pasteur de Lille, University of Lille, Lille, France
- Department of Medicine, Section of Genomics of Common Disease, Imperial College London, London, UK
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere 33520, Finland
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center—Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere 33014, Finland
- Department of Cardiology, Heart Center, Tampere University Hospital, Tampere 33521, Finland
| | - Miguel Cruz
- Unidad de Investigacion Medica en Bioquımica, Hospital de Especialidades, Centro Medico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | - Sayuko Kobes
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes Digestive and Kidney Diseases, NIH, USA
| | - Robert L Hanson
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes Digestive and Kidney Diseases, NIH, USA
| | - Babette S Zemel
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Division of Gastroenterology, Hepatology and Nutrition, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Anke Hinney
- Department of Child and Adolescent Psychiatry, University Hospital Essen, University of Duisburg-Essen, Germany
| | - Koon K Teo
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
- Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - David Meyre
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, ON, Canada
| | - Kari E North
- Department of Epidemiology, University of North Carolina at Chapel Hill
- Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill
| | - Frank D Gilliland
- Department of Preventive Medicine, University of Southern California, Los Angeles, California, USA
| | - Hans Bisgaard
- Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital 2820, University of Copenhagen, Copenhagen, Denmark
| | - Mariona Bustamante
- ISGlobal, Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- CIBER de Epidemiología y Salud Pública, Madrid, Spain
| | - Klaus Bonnelykke
- Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital 2820, University of Copenhagen, Copenhagen, Denmark
| | - Craig E Pennell
- School of Medicine and Public Health, Faculty of Medicine and Health, The University of Newcastle
| | - Fernando Rivadeneira
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - André G Uitterlinden
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Leslie J Baier
- Phoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes Digestive and Kidney Diseases, NIH, USA
| | - Tanja G M Vrijkotte
- Department of Public Health, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, The Netherlands
| | - Joachim Heinrich
- Helmholtz Zentrum München—German Research Center for Environmental Health, Institute of Epidemiology, Neuherberg, Germany
- Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, Ludwig Maximilians University of Munich, University Hospital Munich, Munich, Germany
- Allergy and Lung Health Unit, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Thorkild I A Sørensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Public Health, Section of Epidemiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Medical Research Council Integrative Epidemiology Unit, Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
| | - Seang-Mei Saw
- Saw Swee Hock School of Public Health, National University of Singapore, National University Health System, Singapore, Singapore
- Singapore Eye Research Institute, Singapore, Singapore
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Johan Eriksson
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Folkhälsan Research Center, Helsink Finland
- Chronic Disease Prevention Unit, National Institute for Health and Welfare, Helsinki, Finland
| | - Elisabeth Widén
- Institute for Molecular Medicine Finland, FIMM, University of Helsinki, Finland
| | - Mark I McCarthy
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
- Oxford NIHR Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford OX3 9DU
| | - Pål R Njølstad
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Pediatrics and Adolescents, Haukeland University Hospital, Bergen, Norway
| | - Christine Power
- Population, Policy and Practice, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Elina Hyppönen
- Population, Policy and Practice, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
- Australian Centre for Precision Health, University of South Australia Cancer Research Institute, Adelaide, Australia
- South Australian Health and Medical Research Institute, Adelaide, Australia
| | - Sylvain Sebert
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, PO Box 8000, FI-90014 Oulun yliopisto, Finland
- Biocenter Oulu, University of Oulu, Aapistie 5, 90220 Oulu, Finland
- Department for Genomics of Common Diseases, School of Medicine, Imperial College London, UK
| | - Christopher D Brown
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Marjo-Riitta Järvelin
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, W2 1PG, UK
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, PO Box 8000, FI-90014 Oulun yliopisto, Finland
- Biocenter Oulu, University of Oulu, Aapistie 5, 90220 Oulu, Finland
- Unit of Primary Health Care, Oulu University Hospital, OYS, Kajaanintie 50, 90220 Oulu, Finland
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, Kingston Lane, Uxbridge, Middlesex UB8 3PH, UK
| | - Nicholas J Timpson
- Medical Research Council Integrative Epidemiology Unit, Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN, UK
| | - Stefan Johansson
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Hakon Hakonarson
- Center for Applied Genomics, Children’s Hospital of Philadelphia, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Division of Human Genetics, Department of Pediatrics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Vincent W V Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Struan F A Grant for the Early Growth Genetics Consortium
- Center for Applied Genomics, Children’s Hospital of Philadelphia, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Division of Human Genetics, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Center for Spatial and Functional Genomics, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Genetics, University of Pennsylvania, Philadelphia
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Division of Endocrinology and Diabetes, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Division of Human Genetics, Department of Pediatrics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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17
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da Fonseca ACP, Abreu GM, Zembrzuski VM, Campos Junior M, Carneiro JRI, Nogueira Neto JF, Cabello GMK, Cabello PH. The association of the fat mass and obesity-associated gene (FTO) rs9939609 polymorphism and the severe obesity in a Brazilian population. Diabetes Metab Syndr Obes 2019; 12:667-684. [PMID: 31213864 PMCID: PMC6537458 DOI: 10.2147/dmso.s199542] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2018] [Accepted: 02/28/2019] [Indexed: 12/21/2022] Open
Abstract
Background: Obesity occurs due to the interaction between the genetic background and environmental factors, including an increased food intake and a sedentary lifestyle. Nowadays, it is clear that there is a specific circuit, called leptin-melanocortin pathway, which stimulates and suppresses food intake and energy expenditure. Therefore, the aim of this study was to evaluate the influence of genetic variants related to appetite regulation and energy expenditure on severe obesity susceptibility and metabolic phenotypes in a Brazilian cohort. Material and methods: A total of 490 participants were selected (298 severely obese subjects and 192 normal-weight individuals). Genomic DNA was extracted and polymorphisms in protein related to agouti (AGRP; rs5030980), ghrelin (GHRL; rs696217), neuropeptide Y (NPY; rs535870237), melanocortin 4 receptor (MC4R; rs17782313), brain-derived neurotrophic factor (BDNF; rs4074134) and fat mass and obesity-associated (FTO; rs9939609) genes were genotyped using TaqMan® probes. Demographic, anthropometric, biochemical and blood pressure parameters were obtained from the participants. Results: Our results showed that FTO rs9939609 was associated with severe obesity susceptibility. This polymorphism was also related to body weight, body mass index (BMI), waist to weight ratio (WWR) and inverted BMI. Individuals carrying the mutant allele (A) showed higher levels of BMI as well as lower values of WWR and inverted BMI. Conclusion: This study showed that FTO rs9939609 polymorphism plays a significant role in predisposing severe obesity in a Brazilian population.
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Affiliation(s)
| | | | | | - Mario Campos Junior
- Human Genetics Laboratory, Oswaldo Cruz Institute/FIOCRUZ, Rio de Janeiro, Brazil
| | - João Regis Ivar Carneiro
- Clementino Fraga Filho University Hospital, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | | | | | - Pedro Hernán Cabello
- Human Genetics Laboratory, Oswaldo Cruz Institute/FIOCRUZ, Rio de Janeiro, Brazil
- Human Genetics Laboratory, Grande Rio University, Rio de Janeiro, Brazil
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18
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de Lauzon-Guillain B, Koudou YA, Botton J, Forhan A, Carles S, Pelloux V, Clément K, Ong KK, Charles MA, Heude B. Association between genetic obesity susceptibility and mother-reported eating behaviour in children up to 5 years. Pediatr Obes 2019; 14:e12496. [PMID: 30702799 DOI: 10.1111/ijpo.12496] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2018] [Accepted: 11/05/2018] [Indexed: 02/06/2023]
Abstract
BACKGROUND Many genetic polymorphisms identified by genome-wide association studies for adult body mass index (BMI) have been suggested to regulate food intake. OBJECTIVE The objective was to study the associations between a genetic obesity risk score, appetitive traits, and growth of children up to age 5 years, with a longitudinal design. METHODS In 1142 children from the Etude des Déterminants pre et post natals de la santé de l'ENfant (EDEN) birth cohort, a combined obesity risk-allele score (BMI genetic risk score [GRS]) was related to appetitive traits (energy intake up to 12 mo, a single item on appetite from 4 mo to 3 y, a validated appetite score at 5 y) using Poisson regressions with robust standard errors. The potential mediation of appetitive traits on the association between BMI-GRS and growth was assessed by the Sobel test. RESULTS Children with a high BMI-GRS were more likely to have high energy intake at 1 year and high appetite at 2 and 5 years. High energy intake in infancy and high appetite from 1 year were related to higher subsequent BMI. High 2-year appetite seemed to partially mediate the associations between BMI-GRS and BMI from 2 to 5 years (all P ≤ 0.05). CONCLUSIONS Genetic susceptibility to childhood obesity seems to be partially explained by appetitive traits in infancy, followed by an early childhood rise in BMI.
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Affiliation(s)
- Blandine de Lauzon-Guillain
- INSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center, Early Origin of the Child's Health and Development Team (ORCHAD), Paris, France.,Paris Descartes University, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center, Paris, France.,INRA, U1125 Epidemiology and Biostatistics Sorbonne Paris Cité Center (CRESS), Early Origin of the Child's Health and Development Team (ORCHAD), Paris, France
| | - Yves Akoli Koudou
- INSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center, Early Origin of the Child's Health and Development Team (ORCHAD), Paris, France
| | - Jérémie Botton
- INSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center, Early Origin of the Child's Health and Development Team (ORCHAD), Paris, France.,Faculty of Pharmacy, University of Paris-Sud, Université Paris-Saclay, France
| | - Anne Forhan
- INSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center, Early Origin of the Child's Health and Development Team (ORCHAD), Paris, France.,Paris Descartes University, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center, Paris, France
| | - Sophie Carles
- INSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center, Early Origin of the Child's Health and Development Team (ORCHAD), Paris, France
| | - Véronique Pelloux
- Institute of Cardiometabolism and Nutrition (ICAN), Paris, France.,INSERM, UMRS 1166, Nutriomic Team 6, Paris, France.,Sorbonne Universités, UPMC Université Paris 06, UMRS1166, Paris, France
| | - Karine Clément
- Institute of Cardiometabolism and Nutrition (ICAN), Paris, France.,INSERM, UMRS 1166, Nutriomic Team 6, Paris, France.,Sorbonne Universités, UPMC Université Paris 06, UMRS1166, Paris, France
| | - Ken K Ong
- Medical Research Council Epidemiology Unit and Department of Paediatrics, University of Cambridge, Cambridge, UK
| | - Marie Aline Charles
- INSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center, Early Origin of the Child's Health and Development Team (ORCHAD), Paris, France.,Paris Descartes University, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center, Paris, France
| | - Barbara Heude
- INSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center, Early Origin of the Child's Health and Development Team (ORCHAD), Paris, France.,Paris Descartes University, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center, Paris, France
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19
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Ranaivoson FM, Turk LS, Ozgul S, Kakehi S, von Daake S, Lopez N, Trobiani L, De Jaco A, Denissova N, Demeler B, Özkan E, Montelione GT, Comoletti D. A Proteomic Screen of Neuronal Cell-Surface Molecules Reveals IgLONs as Structurally Conserved Interaction Modules at the Synapse. Structure 2019; 27:893-906.e9. [PMID: 30956130 DOI: 10.1016/j.str.2019.03.004] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Revised: 01/10/2019] [Accepted: 03/07/2019] [Indexed: 12/21/2022]
Abstract
In the developing brain, cell-surface proteins play crucial roles, but their protein-protein interaction network remains largely unknown. A proteomic screen identified 200 interactions, 89 of which were not previously published. Among these interactions, we find that the IgLONs, a family of five cell-surface neuronal proteins implicated in various human disorders, interact as homo- and heterodimers. We reveal their interaction patterns and report the dimeric crystal structures of Neurotrimin (NTRI), IgLON5, and the neuronal growth regulator 1 (NEGR1)/IgLON5 complex. We show that IgLONs maintain an extended conformation and that their dimerization occurs through the first Ig domain of each monomer and is Ca2+ independent. Cell aggregation shows that NTRI and NEGR1 homo- and heterodimerize in trans. Taken together, we report 89 unpublished cell-surface ligand-receptor pairs and describe structural models of trans interactions of IgLONs, showing that their structures are compatible with a model of interaction across the synaptic cleft.
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Affiliation(s)
| | - Liam S Turk
- Child Health Institute of New Jersey, New Brunswick, NJ 08901, USA
| | - Sinem Ozgul
- Child Health Institute of New Jersey, New Brunswick, NJ 08901, USA
| | - Sumie Kakehi
- Child Health Institute of New Jersey, New Brunswick, NJ 08901, USA
| | | | - Nicole Lopez
- Child Health Institute of New Jersey, New Brunswick, NJ 08901, USA
| | - Laura Trobiani
- Department of Biology and Biotechnology "Charles Darwin" and Pasteur Institute - Cenci Bolognetti Foundation, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy
| | - Antonella De Jaco
- Department of Biology and Biotechnology "Charles Darwin" and Pasteur Institute - Cenci Bolognetti Foundation, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy
| | - Natalia Denissova
- Department of Molecular Biology and Biochemistry and Center for Advanced Biotechnology and Medicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Borries Demeler
- Department of Chemistry and Biochemistry, University of Lethbridge, 4401 University Drive, Lethbridge, AB T1K 3M4, Canada
| | - Engin Özkan
- Department of Biochemistry and Molecular Biology, University of Chicago, Chicago, IL 60637, USA
| | - Gaetano T Montelione
- Department of Molecular Biology and Biochemistry and Center for Advanced Biotechnology and Medicine, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA; Department of Biochemistry and Molecular Biology, Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
| | - Davide Comoletti
- Child Health Institute of New Jersey, New Brunswick, NJ 08901, USA; Departments of Neuroscience and Cell Biology Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA; Department of Pediatrics, Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA; School of Biological Sciences, Victoria University of Wellington, Wellington 6140, New Zealand.
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20
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Ozdemir Erdoğan M, Avci K, Yildiz SH, Arikan Terzi ES, Söylemez Z, Varol N, Solak M. Effect of gene polymorphisms in transmembrane protein 18 ( TMEM18) and neuronal growth regulator 1 ( NEGR1) on body mass index in obese subjects. BIOTECHNOL BIOTEC EQ 2018. [DOI: 10.1080/13102818.2018.1533430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
Affiliation(s)
- Müjgan Ozdemir Erdoğan
- Faculty of Medicine, Department of Medical Biology, Afyon Kocatepe University, Afyonkarahisar, Turkey
| | - Kamuran Avci
- Faculty of Medicine, Department of Medical Genetics, Afyon Kocatepe University, Afyonkarahisar, Turkey
| | - Saliha Handan Yildiz
- Faculty of Medicine, Department of Medical Genetics, Afyon Kocatepe University, Afyonkarahisar, Turkey
| | - Evrim Suna Arikan Terzi
- Faculty of Medicine, Department of Medical Biology, Afyon Kocatepe University, Afyonkarahisar, Turkey
| | - Zafer Söylemez
- Faculty of Medicine, Department of Medical Genetics, Afyon Kocatepe University, Afyonkarahisar, Turkey
| | - Nuray Varol
- Faculty of Medicine, Department of Medical Genetics, Afyon Kocatepe University, Afyonkarahisar, Turkey
| | - Mustafa Solak
- Faculty of Medicine, Department of Medical Genetics, Afyon Kocatepe University, Afyonkarahisar, Turkey
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21
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Genetic risk score based on fat mass and obesity-associated, transmembrane protein 18 and fibronectin type III domain containing 5 polymorphisms is associated with anthropometric characteristics in South Brazilian children and adolescents. Br J Nutr 2018; 121:93-99. [DOI: 10.1017/s0007114518002738] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
AbstractThe prevalence of childhood obesity has increased worldwide. Although it is considered a polygenic inheritance disease, little is known about its susceptibility when the additive effect is considered. The aim of this study is to investigate whether the genetic risk score (GRS) based on previously associated obesity polymorphisms (SNP) rs9939609 (fat mass and obesity-associated (FTO)), rs6548238 (transmembrane protein 18 (TMEM18)) and rs16835198 (fibronectin type III domain containing 5 (FNDC5)) could serve as a predictor for anthropometric characteristics in a sample of Brazilian children and adolescents. This is a cross-sectional study with 1471 children and adolescents aged 6–17 years. BMI, waist circumference (WC) and percentage of body fat and metabolic parameters were verified. In all, three SNP were genotyped by TaqMan™ allelic discrimination. The metabolic and anthropometric parameters were compared between the genotypes, and the unweighted and weighted GRS (GRS and wGRS, respectively) were created to test the additive effect of these genetic polymorphisms on anthropometric parameters. The prevalence of overweight plus obesity was 41 %. Significant associations were identified forFTOrs9939609,TMEM18rs6548238 andFNDC5rs16835198 and for GRS and wGRS with anthropometric phenotypes. The higher score of wGRS was associated with obesity (OR: 2·65, 95 % CI 1·40, 5·04,P=0·003) and with greater WC (OR: 2·91, 95 % CI 1·57, 5·40,P=0·001). Our results suggest that these genetic variants contribute to obesity susceptibility in children and adolescents and reinforce the idea that the additive effect may be useful to elucidate the genetic component of obesity.
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