1
|
Ponce-Gonzalez JG, Martínez-Ávila Á, Velázquez-Díaz D, Perez-Bey A, Gómez-Gallego F, Marín-Galindo A, Corral-Pérez J, Casals C. Impact of the FTO Gene Variation on Appetite and Fat Oxidation in Young Adults. Nutrients 2023; 15:2037. [PMID: 37432153 DOI: 10.3390/nu15092037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 04/18/2023] [Accepted: 04/21/2023] [Indexed: 07/12/2023] Open
Abstract
The FTO rs9939609 gene, which presents three polymorphisms (AA, AT, and TT), has been associated with the development of obesity through an increased fat accumulation; however, the associations of the gene with other physiological mechanisms, such as appetite or fat oxidation, are still unclear. Therefore, this study aims to evaluate the influence of the FTO rs9939609 gene on different obesity-related factors in young adults. The FTO rs9939609 polymorphism was genotyped in 73 participants (28 women, 22.27 ± 3.70 years). Obesity-related factors included dietary assessment, physical activity expenditure, body composition, appetite sensation, resting metabolic rate, maximal fat oxidation during exercise (MFO), and cardiorespiratory fitness. Our results showed that TT allele participants expressed higher values of hunger (p = 0.049) and appetite (p = 0.043) after exercising compared to the AT allele group. Moreover, the TT allele group showed significantly higher values of MFO (p = 0.031) compared to the AT group, regardless of sex and body mass index. Thus, our results suggest that the FTO rs9939609 gene has an influence on appetite, hunger, and fat oxidation during exercise, with TT allele participants showing significantly higher values compared to the AT allele group. These findings may have practical applications for weight loss and exercise programs.
Collapse
Affiliation(s)
- Jesús G Ponce-Gonzalez
- ExPhy Research Group, Department of Physical Education, Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Universidad de Cádiz, 11519 Cádiz, Spain
| | | | - Daniel Velázquez-Díaz
- ExPhy Research Group, Department of Physical Education, Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Universidad de Cádiz, 11519 Cádiz, Spain
- AdventHealth Research Institute, Neuroscience Institute, Orlando, FL 32804, USA
| | - Alejandro Perez-Bey
- GALENO Research Group, Department of Physical Education, Faculty of Education Sciences, University of Cádiz, Puerto Real, 11519 Cádiz, Spain
| | - Félix Gómez-Gallego
- Faculty of Health Sciences, University Rey Juan Carlos, 28922 Alcorcón, Spain
| | - Alberto Marín-Galindo
- ExPhy Research Group, Department of Physical Education, Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Universidad de Cádiz, 11519 Cádiz, Spain
| | - Juan Corral-Pérez
- ExPhy Research Group, Department of Physical Education, Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Universidad de Cádiz, 11519 Cádiz, Spain
| | - Cristina Casals
- ExPhy Research Group, Department of Physical Education, Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Universidad de Cádiz, 11519 Cádiz, Spain
| |
Collapse
|
2
|
Ganeff IMM, Bos MM, van Heemst D, Noordam R. BMI-associated gene variants in FTO and cardiometabolic and brain disease: obesity or pleiotropy? Physiol Genomics 2019; 51:311-322. [PMID: 31199196 DOI: 10.1152/physiolgenomics.00040.2019] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Obesity is a causal risk factor for the development of age-related disease conditions, which includes Type 2 diabetes mellitus, cardiovascular disease, and dementia. In genome-wide association studies, genetic variation in FTO is strongly associated with obesity and has been described across different ethnic backgrounds and life stages. To date, much work has been devoted on determining the biological mechanisms via which FTO affects body weight regulation and ultimately contributes to age-related cardiometabolic and brain disease. The main hypotheses of the involved biological mechanisms include the involvement of FTO in habitual food intake and energy expenditure. In this narrative review, our overall aim is to provide an overview on how FTO gene variants could increase the risk of developing age-related disease conditions. Specifically, we will discuss the state of the literature based on the different hypotheses how FTO regulates body weight and ultimately contributes to cardiometabolic disease and brain disease.
Collapse
Affiliation(s)
- Ingeborg M M Ganeff
- Department of Internal Medicine, Section Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
| | - Maxime M Bos
- Department of Internal Medicine, Section Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
| | - Diana van Heemst
- Department of Internal Medicine, Section Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
| | - Raymond Noordam
- Department of Internal Medicine, Section Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
| |
Collapse
|
3
|
de Soysa AKH, Klevjer M, Grill V, Mostad IL. Impact of a FTO gene risk variant on variables of energy metabolism in adults with obesity class 2 and 3. Metabol Open 2019; 1:3-6. [PMID: 32812949 PMCID: PMC7424829 DOI: 10.1016/j.metop.2019.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Revised: 02/10/2019] [Accepted: 02/11/2019] [Indexed: 11/18/2022] Open
Abstract
Purpose The metabolic consequences of carrying a FTO obesity-promoting risk allele have not been fully elucidated and may be confounded by obesity per se. Against this background, we investigated the impact of FTO allele (SNP rs9939609) on fasting and postprandial energy expenditure and fasting substrate expenditure in a study population of uniformly and similarly obese individuals. Procedures We studied a similar number of participants with BMI classes 2–3 (median BMI 42.8 kg/m2) who were either homozygote for the non-risk allele TT (n = 33, numbers increased by enrichment), heterozygote (AT) (n = 32), or homozygote for the risk allele AA (n = 35). Major findings Basal metabolic rate and postprandial energy expenditure did not differ between FTO-groups. However, fasting respiratory quotient (RQ) was increased in those carrying ≥1 risk allele (p = 0.008), whereas postprandial RQ was not. Conclusion In this study population, the FTO-risk allele associates with fasting reduced fat and increased carbohydrate oxidation. Fasting RQ associates with FTO risk allele in comparably obese subjects. The association remained after adjusting for gender effects. FTO risk not associated with meal-related energy utilization.
Collapse
|
4
|
Javanrouh N, Soltanian AR, Tapak L, Azizi F, Ott J, Daneshpour MS. A novel association of rs13334070 in the RPGRIP1L gene with adiposity factors discovered by joint linkage and linkage disequilibrium analysis in Iranian pedigrees: Tehran Cardiometabolic Genetic Study (TCGS). Genet Epidemiol 2018; 43:342-351. [PMID: 30597647 DOI: 10.1002/gepi.22179] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2018] [Revised: 10/15/2018] [Accepted: 11/26/2018] [Indexed: 02/01/2023]
Abstract
Understanding the genetic and metabolic bases of obesity is helpful in planning and developing health strategies. Therefore, the first family-based joint linkage and linkage disequilibrium study was conducted in Iranian pedigrees to assess the relationship between obesity and single-nucleotide polymorphisms (SNPs) located in the 16q12.2 region. In the present study, a total of 13,344 individuals were included, of whom 12,502 individuals were within 3,109 pedigrees and 842 were unrelated singletons. To investigate the relationship between obesity and genetic variants, a joint model of linkage and linkage disequilibrium was applied. Moreover, a sequence kernel association test (SKAT) was used to evaluate the association of the SNP set with body size and lipid profile measurements. The joint model showed that rs13334070, in the intron 4 of the RPGRIP1L gene, has a significant association with obesity. According to the 4-gamete rule, which is a procedure for constructing SNP sets by considering recombination occurrence between SNPs, this polymorphism has a high correlation with six nearby SNPs that make an SNP set. SKAT showed that this SNP set has a significant association with body size factors, but almost no association with most of the lipid profile measurements. In conclusion, from the result of this study, it might be reasonable to consider RPGRIP1L as an important gene whose variations could be associated with obesity risk factors.
Collapse
Affiliation(s)
- Niloufar Javanrouh
- Department of Biostatistics and Epidemiology, Modeling of Non-Communicable Diseases Research Center, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.,Department of Cellular and Molecular, Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Ali R Soltanian
- Department of Biostatistics and Epidemiology, Modeling of Non-Communicable Diseases Research Center, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Leili Tapak
- Department of Biostatistics and Epidemiology, Modeling of Non-Communicable Diseases Research Center, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Fereidoun Azizi
- Department of Thyroid, Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Jurg Ott
- Department of Statistical Genomics Methodology, Laboratory of Statistical Genetics, Rockefeller University, New York, New York
| | - Maryam S Daneshpour
- Department of Cellular and Molecular, Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| |
Collapse
|
5
|
Zhang Q, Xia X, Fang S, Yuan X. Relationship Between Fat Mass and Obesity-Associated (FTO) Gene Polymorphisms with Obesity and Metabolic Syndrome in Ethnic Mongolians. Med Sci Monit 2018; 24:8232-8238. [PMID: 30442880 PMCID: PMC6251077 DOI: 10.12659/msm.910928] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Background The distribution of fat mass and obesity-associated gene (FTO) genes rs9939609 and rs1421085 in obese and normal ethnic Mongolians was analyzed to investigate the association of FTO gene polymorphisms with obesity and metabolic syndrome in ethnic Mongolians. Material/Methods The genotypes of FTO genes rs9939609 and rs1421085 in 500 subjects were detected by allele-specific PCR (AS-PCR). General characteristics and clinical biochemical indicators were compared between the obesity group and the control group. The correlation between different genotypes and obesity metabolic index was also analyzed. Results Body mass, body mass index (BMI), waist circumference (WC), hip circumference (HC), waist-hip ratio (WHR), SBP, DBP, FPG, triglyceride (TG), total cholesterol (TC), and low-density lipoprotein cholesterol (LDL-C) were higher, while HDL-C was lower in the obesity group compared with controls. The frequencies of TT genotype and T allele in the obesity group were higher than those in the control group. The frequencies of these 3 genotypes and allele frequencies of Rs1421085 were comparable between the 2 groups (P>0.05). The risk of obesity in Mongolian individuals carrying rs9939609 AT genotype was 1.312 times higher and the risk in those carrying AA genotype was 1.896 times higher than in individuals with TT genotype. The body weight, BMI, WC, HC, and WHR in individuals with rs9939609 AA and AT genotypes were significantly higher than in those with TT genotype. Conclusions The AT/AA genotype and allele A of rs9939609 are associated with an increased risk of obesity.
Collapse
Affiliation(s)
- Qiang Zhang
- Physical Examination Center of The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia, China (mainland)
| | - Xiayun Xia
- Physical Examination Center of The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia, China (mainland)
| | - Shixin Fang
- Physical Examination Center of The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia, China (mainland)
| | - Xiangzhen Yuan
- Physical Examination Center of The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia, China (mainland)
| |
Collapse
|
6
|
Repeat length variations in polyglutamine disease-associated genes affect body mass index. Int J Obes (Lond) 2018; 43:440-449. [PMID: 30120431 DOI: 10.1038/s41366-018-0161-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2017] [Revised: 05/15/2018] [Accepted: 06/15/2018] [Indexed: 11/08/2022]
Abstract
BACKGROUND The worldwide prevalence of obesity, a major risk factor for numerous debilitating chronic disorders, is increasing rapidly. Although a substantial amount of the variation in body mass index (BMI) is estimated to be heritable, the largest meta-analysis of genome-wide association studies (GWAS) to date explained only ~2.7% of the variation. To tackle this 'missing heritability' problem of obesity, here we focused on the contribution of DNA repeat length polymorphisms which are not detectable by GWAS. SUBJECTS AND METHODS We determined the cytosine-adenine-guanine (CAG) repeat length in the nine known polyglutamine disease-associated genes (ATXN1, ATXN2, ATXN3, CACNA1A, ATXN7, TBP, HTT, ATN1 and AR) in two large cohorts consisting of 12,457 individuals and analyzed their association with BMI, using generalized linear mixed-effect models. RESULTS We found a significant association between BMI and the length of CAG repeats in seven polyglutamine disease-associated genes (including ATXN1, ATXN2, ATXN3, CACNA1A, ATXN7, TBP and AR). Importantly, these repeat variations could account for 0.75% of the total BMI variation. CONCLUSIONS Our findings incriminate repeat polymorphisms as an important novel class of genetic risk factors of obesity and highlight the role of the brain in its pathophysiology.
Collapse
|
7
|
He H, Cao WT, Zeng YH, Huang ZQ, Du WR, Guan ND, Zhao YZ, Wei BR, Liu YH, Jing CX, Zeng FF. Lack of associations between the FTO polymorphisms and gestational diabetes: A meta-analysis and trial sequential analysis. Gene 2018; 677:169-175. [PMID: 30055308 DOI: 10.1016/j.gene.2018.07.064] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2018] [Revised: 07/24/2018] [Accepted: 07/25/2018] [Indexed: 01/07/2023]
Abstract
BACKGROUND Molecular epidemiological studies have sought associations between Fat mass and obesity associated (FTO) gene polymorphisms and gestational diabetes mellitus (GDM) risk, but findings are inconsistent. Hence, we performed a meta-analysis to clarify this problem. METHODS Case-control studies reporting the relationship of three FTO polymorphisms (rs9939609, rs8050136, and rs1421085) and GDM published before June 2018 were searched in 6 electronic databases such as PubMed and Embase. Pooled odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of associations. Trial sequential analysis (TSA) was performed to evaluate the type 1 and type 2 errors. RESULTS A total of 5 studies involving 703 GDM cases and 2700 controls for rs9939609, 3 studies involving 1144 GDM cases and 909 controls for rs8050136, and 2 studies involving 207 GDM cases and 205 controls for rs1421085, were included in the meta-analysis. No association was observed between the three polymorphisms with the GDM risk under all genetic models. For example, the ORs and its 95% CIs under dominant genetic model were 0.88 (0.59, 1.33) for rs9939609, 1.11 (0.91, 1.35) for rs8050136, and 0.91 (0.58, 1.41) for rs1421085, respectively. Under TSA, there are insufficient levels of evidence for all of these three polymorphisms. CONCLUSION The present meta-analysis provides statistical evidence indicating a lack of association between FTO polymorphismsand GDM risk. More studies with larger sample size are needed to confirm these null associations.
Collapse
Affiliation(s)
- Hong He
- Health Care and Physical Examination Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - Wen-Ting Cao
- Department of Medical Statistics & Epidemiology, School of Public Health,Hainan Medical University, Haikou 571199, China
| | - Yu-Hui Zeng
- Department of Obstetrics and Gynecology, Shangrao Fifth People's Hospital, Shangrao, Jiangxi 334000, China
| | - Zi-Qing Huang
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou 510630, China
| | - Wan-Rong Du
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou 510630, China
| | - Ni-di Guan
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou 510630, China
| | - Yu-Zhe Zhao
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou 510630, China
| | - Bo-Rui Wei
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou 510630, China
| | - Yan-Hua Liu
- Department of Nutrition, the First Affiliated Hospital of Zhengzhou University, No. 1 Jianshe East Road, Zhengzhou, 450052, China
| | - Chun-Xia Jing
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou 510630, China
| | - Fang-Fang Zeng
- Department of Epidemiology, School of Medicine, Jinan University, Guangzhou 510630, China..
| |
Collapse
|