Literature DB >> 28539834

Complex Relationship between Obesity and the Fat Mass and Obesity Locus.

Qingyun Yang1, Tiancun Xiao2,3, Jiao Guo1, Zhengquan Su1.   

Abstract

In the 21st century, obesity has become a serious problem because of increasing obese patients and numerous metabolic complications. The primary reasons for this situation are environmental and genetic factors. In 2007, FTO (fat mass and obesity associated) was the first gene identified through a genome-wide association study (GWAS) associated with obesity in humans. Subsequently, a cluster of single nucleotide polymorphisms (SNPs) in the first intron of the FTO gene was discovered to be associated with BMI and body composition. Various studies have explored the mechanistic basis behind this association. Thus, emerging evidence showed that FTO plays a key role regulating adipose tissue development and functions in body size and composition. Recent prevalent research topic concentrated in the three neighboring genes of FTO: RPGRIP1L, IRX3 and IRX5, as having a functional link between obesity-associated common variants within FTO and the observed human phenotypes. The purpose of this review is to present a comprehensive picture of the impact of FTO on obesity susceptibility and to illuminate these new studies of FTO function in adipose tissue.

Entities:  

Keywords:  FTO; IRX3; IRX5.; Rpgrip1l; adipogenesis; obesity

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Year:  2017        PMID: 28539834      PMCID: PMC5441178          DOI: 10.7150/ijbs.17051

Source DB:  PubMed          Journal:  Int J Biol Sci        ISSN: 1449-2288            Impact factor:   6.580


Introduction

According to the definition from the World Health Organization (WHO), overweight and obesity are likely to damage health due to excessive body fat and/or abnormal accumulation. In the clinic, body mass index (BMI) and waist circumference (WC) are measured directly by measuring the external features of the body. BMI is the most important index for the diagnosis of obesity. WC can reflect the degree of accumulation of abdominal fat. The current classification standard of the WHO for obesity is listed below (Table 1). Obesity has become a global problem of epidemic proportions in most emerging economies 1. The latest figures from the World Health Organization (WHO) provide a global estimate of 1.4 billion overweight individuals. Today, an important concern is the devastating socioeconomic impact of obesity and related metabolic disturbances 2, 3. A growing number of researchers have devoted themselves to the study of the molecular mechanisms of obesity and obesity-related diseases, with the purpose of ascertaining the real root of obesity to develop reasonable and effective therapies. Our research group has been devoted to exploring the effect and mechanism of chitosan and its degradation products in the treatment of obesity to alleviate the symptoms of obesity 4-12. According to the relevant literature, approximately 60% of obesity susceptibility is caused by the difference between genotypes 13, 14. Due to the rapid development of genomics, GWAS has confirmed 300 common human traits and diseases related to approximately 2,000 genes, which contain at least 75 obese genes 15, 16. Among them, the FTO gene is described as the first identified gene that has a strong association with obesity susceptibility by GWAS 17, 18. Since 2007, more studies have confirmed the association between SNPs in intron 1 of FTO and BMI in European populations, specifically, Asian populations 19, Africans 20 and Native Americans 21, clearly revealing that the influence of FTO SNPs on obesity is a worldwide epidemiology. This locus is an important gene that contributes to obesity throughout the lifespan and among different ethnic groups. In this paper, we reviewed the recent development of FTO as an obesity gene to illuminate the biological functional mechanisms from many studies that were based on the association between FTO and obesity. We selected the studies on the latest progress in the authoritative journals and others high quality paper with the high number (The data come from Web of Science: the number of citations times is about 21 to 170) of citations in general journals using PubMed database in the past 7 years. At the same time, we also selected the relevant literature about each perspective at home and ±abroad, for horizontal comparison.
Table 1

Grading standard of WHO on obesity

Grading standard( Unit: kg/m2)
UnderweightBMI<18.5
Normal Weight18.5≤BMI<25.0
Overweight25.0≤BMI<30.0
Obesity30.0≤BMI<35.0
Severe obesity35.0≤BMI<40.0
Morbid obesityBMI≥40

Discovery of FTO

FTO was first identified in Fused toes (Ft) mice in 1999, when it was first cloned by exon trap analysis, which was performed to assess the likelihood a partial deletion in Ft mutants 22. This gene is expressed throughout embryonic development, and variations in human chromosome 16 in the q12.2 region are associated with the development of anisomastia, dysmorphic facies, mental retardation, obesity and other phenotypes. This area includes a plurality of genes 23. Subsequently, FTO has been identified as a candidate gene that causes programmed cell death, craniofacial development and the establishment of left-right asymmetry 24. In 2007, researchers using genomic data from 38,759 European participants, including a population with type 2 diabetes and a control population, found that rs9939609 was representative of some SNPs in the first intron of FTO that were associated with obesity and overweight. In addition, the A allele of rs9939609 exhibited a significant correlation with type 2 diabetes 17. In this article, approximately 16% of subjects were homozygous for the risk allele of FTO, and their weight was 3 kilograms greater than that of non-risk allele subjects, with a 1.67-fold increased risk for obesity compared with non-risk allele subjects 17. Obesity is one of the leading causes of type 2 diabetes, so researchers have hypothesized that FTO may be linked to obesity. Subsequent studies have confirmed that a large number of FTO gene polymorphisms are also associated with differences in body mass index (BMI) 25, obesity 26, insulin resistance 27, diabetes (DM), metabolic syndrome 28, hypertension 29, atherosclerosis 30 and C-reactive protein levels 31 (Table 1). Because it was the first gene identified by GWAS to be closely related to obesity, the gene was officially named the fat mass and obesity-associated gene.

FTO in different species

The FTO gene has a long history that can be traced back 450 million years; sequence homology comparisons have revealed that the FTO gene exists in vertebrates, Ostreococcus and Diatoms 45. FTO genes are widely distributed in the biological world and expressed in a variety of animal tissues. FTO is expressed throughout embryonic and adult tissues, including wide expression in human tissues at different developmental stages. High expression is observed in adipose tissue and skeletal muscle 17, and the highest expression is noted in the area of hypothalamic 46 control of the energy balance, namely, the arcuate nucleus, suggesting that it plays a key role in regulating appetite and energy metabolism. The nucleotide and amino acid sequences of the FTO gene and protein are highly conserved in different species. The human FTO gene is located on chromosome 16ql2.2 17, and the mouse FTO gene is located on chromosome 8. Both contain nine exons 22. Homogeneous analysis demonstrated that these genes exhibit approximately 87% homology at the protein sequence level 24, 47. In addition, the FTO gene of the pig is located on chromosome 6, which is where many quantitative trait loci for the regulation of fat have been mapped 48. Homology analysis revealed that the cDNA sequence of FTO in the pig shared 88% and 83% homology with the cDNA sequences of mice and human, respectively 49, 50.

Discovery and structure of the FTO protein

The FTO locus, which spans approximately 417,979 base pairs on human chromosome 16q12.2, from 53,737,875 bp to 54,155,853 bp, contains 9 exons and encodes proteins 17, 46. The strongest genome-wide association signals lie in introns 1 and 2 of the FTO gene. This sequence includes 89 common variants, which makes confirmation of the causes of variations more difficult 51. The transcription start site of KIAA1005 lies only 200 base pairs from the 5′ end of the FTO gene and ~61 kb from the 47-kb interval containing the BMI associations (Figure 1) 17. Based on individual differences in SNPs, the risk alleles in the interval also vary. Some common variants within the first intron of the FTO gene include rs9926289 (G/A), rs9939609, rs8050136, rs9930501 (A/G), rs9930506 (A/G), rs17817449, rs9940646 (C/G), rs9940128 (G/A), rs1421085, and rs8043757 (A/T). These polymorphisms have a strong linkage disequilibrium in all subjects and are associated with increased body weight, body fat, BMI, waist circumference, hip circumference and energy intake 17, 52-56. The FTO protein belongs to the AlkB family of non-home Fe (II)/dioxygenases, which is part of the Escherichia coli AlkB and human ABH enzyme family 46, 57. Chinese researchers were the first to analyze the crystal structure of the FTO protein, and the structure further proves that the protein is a type of deoxyribonucleic acid (DNA) demethylase 58. The crystal structure of FTO reveals an N-terminal AlkB-like catalytic domain and a novel C-terminal domain, which is necessary for FTO catalytic activity. In addition, FTO possesses a specific loop covering one side of the conserved jelly roll motif, which selectively competes with the unmethylated strand of the DNA duplex for binding to FTO. The loop potentially plays an important role in FTO to select against double-stranded nucleic acids 59. FTO selects 3-meT or 3-meU from other nucleotides through a hydrogen-bonding interaction with the two carbonyl oxygen atoms in 3-meT or 3-meU. A histidine and an aspartate bind tightly to Fe(II) in the catalytic site, which includes five obligate amino acid residues.
Figure 1

View of the FTO chromosomal location and obesity-associated region with associated common SNPs in the first intron of FTO

FTO variants and BMI modified by physical activity

The obesity epidemic poses a considerable public health threat and is mainly due to one's lifestyle, such as a lack of exercise, sleeplessness and excessive energy intake 60 (Table 3). Numerous preventive strategies have been proposed to control the obesity epidemic 61. Previous data have consistently demonstrated that the relationship between FTO SNPs and BMI can be modified by physical activity in adults, which has been strongly demonstrated in numerous reported and unreported meta-analyses from 45 studies of 218,166 adults and nine studies of 19,268 children and adolescents 62. No such interaction was found in children and adolescents. This finding might be attributed to the inaccuracy of BMI as a method of measurement of obesity in young age groups 63. In another study, adolescents spent at least 1 hour partaking in moderate or intensive physical activity every day, and higher BMI or waist circumference were not affected by the A allele, which is in contrast with that noted in inactive subjects 64. However, current studies have reported that genetic predisposition for obesity can be modified by lifestyle factors, such as physical activity (PA). A meta-analysis revealed that FTO rs9939609 as a risk allele homozygous SNP can significantly increase the susceptibility to obesity compared with inactive subjects and can lead to a weight reduction of approximately 30% in PA 62. This meta-analysis of the observations of many individual studies emphasized the association between physical activity and FTO in adults and adolescents. A significant connection between variations in the first intron of FTO and PA has been demonstrated by numerous studies performed with children and adult populations of European, East Asian and African ancestry 65-67. Another study revealed a significant reduced effect of rs1121980 on both BMI and waist circumference in a group of physically active individuals compared with an inactive group composed of 20,374 European adults 68. The association with rs1421085 and PA was also observed in a prospective cohort that included approximately 17,400 people from 17 countries in six ethnic groups, including South Asian, European, East Asian, Latin American, African and Native American, who were followed for three years 69. Fourteen obesity-susceptibility genes were analyzed in this survey, and PA can greatly alleviate the genetic effect of FTO. This interaction was analyzed prospectively using a quantitative measure of PA compared with the recently developed BAI and BMI. Analyzing the impact of obesity-predisposing SNPs on PA revealed novel associations; however, further studies are needed to confirm these effects. The combination of genetic predisposition and environment factors led to variations of the body composition associated with the FTO genotype. An active lifestyle can significantly reduce the genetic effect of FTO on body weight, and this conclusion was applicable to different people. In sum, these data and the results showed that vigorous PA could prevent obesity caused by the powerful gene group, which may be a valuable contribution to the prevention of obesity as well as the global fight against obesity 70. Moreover, some studies have demonstrated that dietary habits 71 72, 73 and smoking 74 might also impair the influence of FTO on obesity susceptibility.
Table 3

Physical Activity Attenuates the Effect of the FTO Genotype on fat parameters

FTO singlenucleotidepolymorphismsdateStudy designThe risk allelesparticipantsNregionSubjects BMI(kg/m2)measurement parametersRef.
rs99396092011a literature-based meta-analysisA/TAdults (46±8 year)237,434EuropeNorth AmericaAsiaRisk of overweight and obesity: 25.0≤BMI<30.0;30.0≤BMI<35.0PA significantly(beta interaction = 20.14 kg/m2 per allele, P-interaction = 0.005) attenuated the association between the FTO variant and BMI of adults, but No such interaction was found in children and adolescents.[62]
rs99396092010Cross-sectional study from October 2006 to December 2007A/TAdolescents (15 year)752(339 Boys;413 Girls )EuropeRisk of overweight24.0≤BMIweight, height, WC( P =0.1), BMI( P =0.02)body fat percentage( P =0.06)[63]
rs99396092008Clinical TrialsA/Tadults17,508Danessubjects with BMI<25 and BMI≥25physicallyinactive homozygous risk A-allele carriers had an increase in BMI level by 1.95±0.3 kg/m2compared with homozygous T-allele carriers. ( P =0.007)[75]
rs14210852016a longitudinal multi-ethnic study (clinical trial)T/Cthe ages of18-85 years17,423(10,608 women and 6799 men)six ethnic groupsa mean BMI of 30.2 (SD= 6.22) kg/m2a mean BAI of 33.0 (SD= 7.49)BMI Reduced by 57%( P = 0.01)BAI Reduced by 56%( P =0.04)[69]
rs99396092011a prospective cohort studyA/Taged45-66 years12,523(6,894 women and 5,611 men)African &European Americanssubjects with 25.0≤BMI<30.0P ≤0.04 for all traits( BMI, WC) only in AA men and EA men[76]
rs99396092016randomized controlled trialA/TAdults (aged ≥18 years)1,280(537 women and 743 men)Europeana mean BMI of 25.5(SD= 4.80)Attenuated WC( P =0.02) and BMI(P= 0.005)[67]
rs99396092015randomized controlled trialA/T18-36 years old550(231 males and 319 females)PortugueseMen: 22.9% were overweight and 4.3% obese,Women: 12.2% were overweight and 4.4% obesedecreased in the body-fat percentage( P =0.0002)an increased in BMI[66]
rs11219802009prospective population-based cohortT/CAdults (39-79 y of age)20,374(10,059 males and 10,315 females)EuropeanMen BMI: (26.5±6.33)Women BMI: (26.1± 6.42)Attenuated WC( P =0.02) and BMI( P = 0.004)[68]
rs1121980201311 cohorts studyT/CAdults (aged ≥30 years)111,421(More than 50% females)Europeansubjects with 20.0≤BMI<35.0attenuated BMI ( P =0.003)almost 10-fold larger in North American than in European cohorts[70]
rs99396092015randomized trialA/Tchildren and adolescents (aged 10-18 years)135 (77 males and 61 females)ChineseBMI≥25BMI, insulin, TC, TG, HDL, RBC, HB and HCT were significantly declined by the combined intervention(P < 0.05)[77]

Abbreviations: BMI: body mass index, BAI: body adiposity index, SD: standard deviation, N: sample size, PA: physical activity, PAI: physical activity index, EA: European Americans; AA: African Americans, TC: total cholesterol, TG: triglyceride, HDL: high-density lipoprotein, RBC: red blood cell, HB: Hemoglobin, HCT: hematocrit

FTO variants with macronutrient intake

An increasing number of reports suggest that the FTO SNPs are associated with satiety, appetite ratings and overeating. Several studies have probed FTO SNPs associated with food intake to elucidate the mechanisms for variation in FTO and the risk of obesity (Table 4). A study of the link between rs1421085 and protein intake was observed by using the frequency of foods questionnaire in 7,724 subjects 78, and another study found that the A allele of rs8050136 was positively correlated with the percentage of fat in dairy foods and negatively correlated with energy from carbohydrates in 36,973 subjects 79. Moreover, a meta-analysis across 37 studies in 177,330 subjects confirmed that FTO rs9939609 played an important role in carbohydrate intake and total energy, especially when the risk allele carrier had a significantly reduced fiber intake and increased protein intake 80. A similar association was noted between the A allele of rs8050136 and total energy intake as measured using food diaries in Asian populations 56. In addition, children who were carriers of the A allele (AA or AT) exhibited a significantly increased energy intake compared with children who were TT allele carriers across the three conditions. However, only a very small effect on protein intake and no effect on carbohydrate intake were noted 81. A recent study of feeding behavior was conducted in 64 FTO SNPs. Overall, only rs1292170 and rs12446047 play an important role on total energy and among all macronutrients 82. The findings of the study indicate that the FTO gene has a potential role in dietary traits 83, 84. A report of macronutrient intake in more than 70,000 individuals illustrated that the BMI-increasing allele of FTO SNPs was also positively correlated with protein intake (P=10-9), which might explain the effect of FTO on BMI 78. The milestone study reported a mechanistic link between FTO SNPs and gut peptides 85. Researchers performed a considerable amount of work based on studying the mechanism of FTO in animals. Then, studies were performed in humans. Young and healthy participants were divided into risk-allele carriers (AA) and low risk-allele carriers (TT). After a test meal, comparisons between the TT group and AA group were made; the latter group was discovered to have a subtle increase in acyl ghrelin and a weak inhibitory effect on the visual analog hunger score. Compared with the TT group, the risk-allele carriers had an increase in both FTO expression and ghrelin precursor GHRL mRNA and, conversely, a decrease in m6A methylation of ghrelin mRNA from peripheral blood cells after two hours of fasting. In in vitro studies in which FTO was overexpressed, an increase in ghrelin and ghrelin O-acyltransferase mRNA, as well as total and acyl ghrelin concentrations in cell lysates, and a reduction in m6A methylation of ghrelin mRNA were noted. These results confirmed the suggestion that the association of the FTO risk allele with food intake might be regulated through ghrelin by increasing m6A ghrelin mRNA demethylation.
Table 4

The FTO variants on food intakes and related parameters

FTO single nucleotide polymorphismsdateStudy designThe risk allelessubjectsN(sex)regionTypes of food intake and related parametersRef.
rs1421085201312 prospective cohorts studyT/Cadults7,724Europeandescentthe BMI-increasing minor allele was associated with higher protein intake (P=9.96×10-10)[78]
rs80501362013prospective cohorts studyA/TMultiethnic adult (23-74y)36,9735 racial/ethnic groupsMacronutrient intake (carbohydrate, protein, ethanol, and fat) (P <0.01)positive correlation with protein (P =4×10-5)negatively correlated with carbohydrate (P=4×10-5)[79]
rs14210852012The Look AHEAD trialC/Taged 45-76 y2,075 (56% women)African Americaneating episodes per day (P =0.001 )total energy intake (P =0.031, P =0.067)FTO may bias meal patterning and perhaps total caloric intake and consumption of sweet or high-fat foods[80]
68 FTO SNPs2014The randomized trialmanyAdults (34.5±10.6 y)237 (117 males/120 females)Mixed ethnicmoderated the relationship between RRV food and energy intake to predict an additional 4.9-7.4% of variance in energy intake(p < 0.001)moderated the relationship between RRVfood and protein intake, sugar intake (p < 0.001)[82]
rs99396092014Prospective cohort studyA/Taged 30-75177,330 (51, 529 males/121, 700 females)Mixed ethnicTotal energy A allele lower ( P = 0.001) across all ethnicitieshigher Protein (P = 2.4×10-16)lower Carbohydrate A allele (P =0.004)no associated with Fat (P =0.24)associated with fried food consumption (p<0.001)[86]
rs1421085rs178174492014The randomized trialC/Tthe ages of25 and 40 years133 (21 males/ 112 females)Dutch, French, German, Britishassociated with poorer eating behaviors (p < 0.05), a higher intake of high fat foods and refined starches and more depressive symptoms (p < 0.05)[87]
rs80501362009The randomized trialA/TAdults (35 to 45 years of age)380 (171 males/ 209 females)Germansignificantly associated with higher energy intake( P =0.01)associated with fibre intake ( P =0.31)[88]
rs99396092008The randomized trialA/TChildren(4 to 10 years of age)2726ScottishA allele was associated with increased energy intake( P =0.006)with 30% higher fat intake after the low-energy premeal load in the A allele carriers (P = 0.004)with 16% greater energy density of food ingested by carriers ( P = 0.03)[89]
rs8050136rs110760232016case-control studyA/TIndividualsaged 30-651,618 (916 males/ 702 females)Asian Indiansinteraction between SNP rs8050136 and carbohydrate intake (% energy) (P = 0.04)SNP rs11076023 and dietary fiber intake (P=0.0008)the highest tertile of carbohydrate intake (P=1.0×10-5)[90]
According to the description, the FTO risk allele carriers can increase weight, through the movement of fat mass, so we can exercise to prevent obesity and other low calorie diet is the key to prevent obesity, in general, a healthy lifestyle to prevent obesity is essential.

FTO and energy metabolism

Despite the fact that FTO deficiency causes some serious developmental deformities, there are increasing reports that FTO might also affect energy homeostasis. Early experiments reported that FTO-/- and FTO+/- mice resist obesity induced by a high-fat diet and exhibited an obvious phenomenon of hyperphagia 91. Three mouse models with different additional copies of the FTO gene exhibited a positive correlation with body mass and fat mass measurements regardless of whether mice were fed a standard or high-fat diet 92. In a similar global knockout model, food intake was unaffected, but power consumption was elevated, despite the fact that physical activity was diminished. Thus, the lack of the FTO gene results in a lean phenotype 93. Mice with a point mutation in the FTO gene that reduced FTO activity were not developmentally compromised. They developed a lean phenotype and an increased rate of energy expenditure and respiratory exchange ratio (RER). However, no change in physical activity levels and food intake were noted 94-96. The food intake was significantly increased in mice with a knockout of the FTO gene (FTO-/-), and FTO+/- mice did not necessarily become obese with a high-fat diet 97. A mouse model with additional copies of FTO promoted increases in body weight and fat mass in a dose-dependent manner regardless of whether the mice were fed a standard or high-fat diet 98. However, other report indicated that mice deficient in Fto significantly increased their fat mass after exposure to a HFD and that FTO+/-and FTO-/- mice exhibited an obvious anorexigenic phenomenon due to the increase of leptin 99. According to these different mouse models, a complex connection is noted between FTO and food intake. In summary, changes in the content of FTO in mice regulate the energy changes in mice and subsequently affect the phenotype regarding body mass. It has been hypothesized that the effect of FTO on energy may be due to FTO being a 2-oxoglutarate sensor and the effect of the 2-oxoglutarate level, which is a member of the citric acid cycle. FTO enhanced TCA cycle activity by regulating 2-oxoglutarate levels to promote differences in body energy metabolism 100. However, at present, there is another hypothesis that FTO may be a sensor of circulating amino acids rather than a sensor of 2-oxoglutarate 101-106. This action mainly occurs in FTO-deficient mice that exhibit developmental deformities. Thus, presumably, some association between FTO and the translation of mRNA exists that impacts the multi-tRNA synthetase complex, which is composed of aminoacyl-tRNA 101, 107.

Deficiency and mutation of FTO in human/mice

Many genes that control the same phenotypes with lipid storage and obesity have been identified, such as PCSK1 108, 109, MCR4 110-112, BDNF 113, and POMC 114-116. Therefore, it was reasonable to determine the phenotype of FTO deficiency. FTO was one of six consecutive genes, including Ftl, Ftm, Irx3, Irx5, and Irx6, detected on the 1.6-Mb chromosome segment, which is missing in fusedtoe mice (Figure 2). The mutant homozygous mice died as embryos and exhibited underdeveloped facial structures, whereas heterozygous mutants had severe developmental malformations with damaged hypothalamic development, defective left-right asymmetry and hyperplasia of the thymus and fused digits 93. Compared with the above-mentioned facts, a specific targeted deletion of FTO in mice did not exhibit the above-mentioned features, but exhibited high postnatal mortality, decreased fat mass on a normal diet, and increased food consumption 93. Analogously, mice with a global germline loss of FTO displayed a high perinatal mortality as well as reduced body length and body weight after birth, whereas their weight increased with feeding and strengthen metabolism 117. Subsequently, two independent studies of FTO loss also confirmed the phenotypic characteristic of postnatal growth retardation 96, 118. One of the experiments used a conditional allele to delete FTO in the nervous system 96, and phenotypes were produced that were similar to those described if much of the research on a global germline loss. This finding suggested that FTO has a crucial role in the central nervous system to regulate growth development.
Figure 2

Schematic diagram of FTO and its neighboring genes on chromosome 16q12.2

The deletion of the FTO gene in humans also leads to a severe syndrome that is mainly characterized by postnatal growth retardation, facial dysmorphology, microcephaly, severe psychomotor delay and functional brain deficits 119. In some patients, the syndrome also includes structural abnormalities in the brain, cardiac defects, genital abnormalities and cleft palate. More severe symptoms may lead to infant death within 3 years 119. It is also possible that some individuals will carry a R316Q mutation in FTO, in which the arginine residue at position 316 is replaced by a glutamine. This mutation prevents 2oxyglutarate binding, resulting in a loss of FTO demethylase activity 120. An important study reported on a family with FTO loss with an unreported malformation syndrome that was characterized by poly-malformation and childhood mortality due to a homozygous R316Q mutation in the FTO gene at cDNA position 947 121. Other researchers have comprehensively investigated whether nonsynonymous variants of FTO might be represented in either obese or lean individuals 119. Complete sequencing of the FTO coding regions in obese participants and lean individuals revealed that the ratio of nonsynonymous mutations is uniform. In addition, heterozygous mutations were identified that severely damaged the enzymatic activity of FTO in both obese and lean cohorts 121. Recently, researchers investigated a 1-year-9-month-old girl who presented failure to thrive, distinctive facial features, left ventricular cardiac hypertrophy, global developmental delay, bilateral hearing loss and reduced vision. A novel FTO homozygous missense mutation was identified that affected a highly conserved residue in the functional domain (c.956C>T; p.(Ser319Phe)) in the patient and her parents upon sequencing 4,813 clinically relevant genes. The results of the biochemical experiments showed that p.(Ser319Phe) FTO had impaired N-methyl-nucleoside demethylase activity and 2-oxoglutarate accumulation 122, which were consistent with previous reports. These studies revealed that FTO homozygous mutations could cause developmental delay syndromes and rare growth retardation and further demonstrated that FTO plays a significant role in the development of the cardiovascular and central nervous systems in infants. The above studies in humans demonstrated that rare variants in FTO are distributed, with different proportions between lean or obese individuals, but no evidence has reported any particular variant in individuals. Thus, although many problems remain unresolved, it seems plausible that FTO plays an important role in the growth and development of humans and mice.

FTO and m6A demethylation

Similar to other members of the AlkB family, the FTO protein contains both an Fe2+ binding motif and a 2-oxyglutarate (2OG) AlkB dioxygenases demethylase and leads to non-syndromic human obesity 46, 59. The FTO protein is closely related to the bacterial DNA demethylase AlkB and the mammalian AlkB homologs ABH1 and ABH2 58, 123. However, FTO has a much weaker binding affinity to RNA molecules and a very different sensitivity to RNase treatment at the cellular level than ALKBH5 124, 125. FTO is mainly localized in the nucleoplasm, and it was originally shown to catalyze the oxidative demethylation of 3-methylthymidine (m3T) or 3-methyluracil (m3U) in single strand DNA/RNA, suggesting that nuclear RNAs are the main substrates of FTO. However, FTO has relatively reduced activities compared with other AlkB family enzymes that catalyze an extensive range of oxidative reactions 126, demonstrating another role for FTO in nucleic acid repair or modification 127. FTO overexpression results in a decrease in m6A levels in cultured cells, suggesting that m6A is a physiological substrate of FTO 128. A link between FTO-dependent m6A demethylation and gene expression was demonstrated in two independent studies. FTO-knockout mice exhibited changes in m6A levels in the midbrain and striatal, with an increased m6A methylation level of key genes in the dopaminergic pathway and reduced expression of these genes 98, 129. Hydrogen bonds between R96 and 3-meT as well as between Glu234 and 3-meT form the main structural interactions of the FTO protein for the specific identification of 3-methylation of U and T 130. The structure of the complex described above also provides a basis for the design of small-molecule inhibitors that interfere with the enzyme activity of FTO by interfering with fat metabolism 131. The FTO protein possesses strong demethylating activity for m6A in single-stranded RNA, both in vitro and in vivo, due to partial localization in nuclear speckles. It is positioned to demethylate m6A on nuclear RNA 132. Interestingly, m6A demethylation by FTO involves 2 intermediate products: N6-hydroxylmethyladenosine (hm6A) and N6-formyladenosine (f6A), which is a more oxidized product of hm6A. Moreover, m6A RNA decoration during adipogenesis is inversely correlated with FTO gene expression, and these findings are consistent with the recently demonstrated m6A-dependent mRNA decay mediated by YTHDF2. Recently, a pioneering study identified FTO as an important regulator of mRNA splicing by regulating the RNA-binding ability of SRSF2. FTO-regulated m6A demethylation is the regulatory mechanism by which RNA splicing is controlled, explaining its important role during the regulation of adipogenesis 133. Yet, the role of m6A demethylation by FTO in the regulation of energy homeostasis and body composition remains unclear. In addition, in neuron-specific FTO-deficient mice, a subset of mRNAs that are involved in dopaminergic (DA) signaling exhibits increased m6A levels 83, 134. In a mouse model in which FTO was knocked out only in DA neurons, FTO demethylates an mRNA subset that is involved in neuronal function, which provides more evidence for the critical role of FTO in RNA metabolism 135, 136. This research applied diazirine photo-cross-linking to m6A recognition mediated by the FTO demethylase. The α-KG co-substrate and Fe(II) cofactor formed activated FTO complexes that contributed to capturing dioxygen and recognizing m6A. In addition, the demethylation activity of FTO is related to the physiological process 137. A recent report showed that FTO overexpression might regulate 3T3-L1 differentiation by increasing Wnt signaling, suppressing PPARγ activity and decreasing m6A138. Collectively, the above studies provide valuable evidence for the role of FTO in modulating preadipocyte differentiation through m6A demethylation.

Novel mechanism of FTO

The role of RUNX1T1 and FTO

As a nucleic acid demethylase, FTO removes methyl groups from both DNA and RNA 134, 135, 139, 140. There is a prevalent belief that the most significant function of FTO is demethylating N6-methyladenosine (m6A), which could adjust the alternative splicing of mRNAs 141-143. Studies using 3T3-L1 cell culture verify that FTO regulates mRNA splicing by controlling the binding activity of the splicing factor SRSF2 to mRNA 138, 143. Runt-related transcription factor 1 (RUNX1T1), an adipogenesis-related transcription factor, is spliced by SRSF2 into two variants: a short (S) and a long (L) isoform. In 3T3-L1 cells, S isoform overexpression of RUNX1T1 promoted adipogenesis, indicating that FTO might enhance adipocyte formation by affecting RUNX1T1. However, previous studies investigated the role of FTO in regulating adipogenesis in mice primordial cells with FTO overexpression or deletion 118. Next, they demonstrated that FTO works early in adipogenesis to increase fat cell numbers during mitotic clonal expansion (MCE). The prerequisites for adipose differentiation that occurs within 48 hours is Mitotic clonal expansion (MCE). Mouse embryonic fibroblasts (MEFs) in which FTO was either deleted (FTOKO) or overexpressed (FTOO) were treated with a cocktail containing IBMX, insulin and dexamethasone to induce differentiation into mature adipocytes 144. The transcription factor C/EBPβ binds to DNA, resulting in the elevation of C/EBPα and PPARγ, which are the most important master regulators of adipogenesis. The results of the experiment validated that FTO knockdown suppresses adipogenesis immediately prior to MCE and that FTO overexpression enhances the expression of PPARγ and C/EBPα. These results indicate that FTO regulated RUNX1T1 and then affected adipogenesis. Mice with FTOKO in MEFs decreased RUNX1T1-S expression, and mice with FTOO in MEFs exhibited high RUNX1T1-S expression. WT MEFs with knockdown of RUNX1T1 aided in the further discovery of the reduction of the expression of cell cycle genes and cell proliferation during MCE. Previous studies in 3T3-L1 cells suggested that adipogenesis was impaired due to overexpression of RUNX1T1-L and that overexpression of RUNX1T1-S enhanced adipogenesis. These findings illustrated that adipocyte differentiation and proliferation depend on the relative abundances of the S and L isoforms of RUNX1T1 binding to C/EBPβ, but differences in the expression between L and S isoforms were not observed 145. RUNXT1-L exhibited higher expression levels than RUNXT1-S in 3T3-L1 cells. The reduction in adipogenesis is potentially due to the primary role of RUNXT1-L in WT MEFs with RUNX1T1 knockdown. Moreover, research now demonstrates that FTO acts as a transcriptional coactivator of C/EBPβ 146. These studies demonstrated that FTO acts on adipogenesis and that the fat mass (Figure 3) and body weight were further controlled.
Figure 3

The mechanism of FTO locus association with obesity, suggesting that the transition from T to C in FTO rs1421085 may regulate the expression of IRX3 and IRX5, reducing the mitochondrial heat production and increasing white adipocytes mass. The binding site of FTO intron 1 interacts with transcription factor CUX1 and then regulates the neighboring group RPGRIP1L to control the fat mass. The removal of m6A by FTO demethylation leads to a short product of Runx1t1, which enhances pre-adipocyte differentiation. Conversely, if no FTO exists, this results in a long product of Runx1t1, which inhibits pre-adipocyte differentiation.

Roles of IRX3 and IRX5

A follow-up study in mice showed that FTO expression influences weight and the body composition. However, the following experiment found that FTO expression and FTO intron variation in the area were not directly related. Irx3 within the FTO gene region was initially not remarkable. Then, a report by Ragvin et al sought to identify the relationship between the FTO gene 147. This team found that the FTO LD block seemingly contained a large number of highly conserved noncoding elements (HCNEs) and determined that potential regulatory elements may affect target genes. GFP reporter gene analysis confirmed the base sequence of zebra fish linkage disequilibrium with FTO, but the discovery and expression pattern matched those of IRX3. Given that Irx3 is highly expressed in the pancreas, it is possible that at least some of the effects ascribed to the FTO gene, such as susceptibility to type 2 diabetes, might be attributed to Irx3. Studies in murine and human genomes established that the in vitro development of Irx3 is involved in the association between human obesity and FTO. Chromatin conformation capture was used in both embryonic tissue and brain tissue from adult mice to investigate cis-regulatory interactions between FTO and IRX3 148. The results clearly indicate that IRX3 relied on long-range regulation from FTO, and the expression of this region in the remote enhancer and IRX3 protein expression followed the same trend. These findings indicate that the obesity-related area in FTO commonly regulated FTO and IRX3. Consistent with this finding, in human brain cells, the expression of obesity-related variability was associated with IRX3, but the expression of FTO was not relevant. The relations between IRX3 expression and body weight as well as weight composition in a mouse model have also been confirmed. The body weight of Irx3 deficient mice was at least 25 to 30% reduced compared with control mice, and the weight reduction was mainly due to the reduction in adipose tissue and the increase in basal metabolic rate. Finally, the hypothalamic expression of a dominant negative Irx3 gene resulted in a phenotype similar to that of Irx3-deficient mice. The study showed that the IRX3 gene is a functional long-range target of FTO SNPs and is one of the decisive factors of body mass and composition. Previous studies demonstrated a relation between FTO gene regulation associated with obesity and the hypothalamus, the area of the human brain that controls appetite or physical activity 149, 150. By contrast, new research has found that the FTO polymorphisms exhibited the strongest effect in preadipocytes, and this pathway is independent of the brain. Thermogenesis production is a method of energy consumption in adipocyte cells that is triggered by movement, diet or temperature 151. New pathways control the browning of white adipose and can affect the body's energy balance 152, 153. Compared with risk-allele carriers, non-risk-allele carriers exhibited reduced IRX3 and IRX5 expression. These results showed that FTO gene mutations promote increased expression of IRX3 and IRX5. Further experiments revealed that the obesity risk of the FTO area depends on a key nucleotide. When thymine (T) is replaced by cytosine (C), which leads to the derepression of a potent preadipocyte enhancer and a doubling of IRX3 and IRX5 expression during preadipocyte differentiation, there is a reduction in mitochondrial thermogenesis. This action results in body energy imbalance, lipid accumulation and subsequent obesity without a change in physical activity or appetite. When C is converted to T, IRX3 and IRX5 expression is repressed. Then, the thermogenesis process returns to normal, and the storage of excess lipids is halted. Researchers used CRISPR-Cas9 editing 154-156 in human cells and mice to manipulate these new pathways to reverse obesity. These results showed that regulation of IRX3 and IRX5 expression can alter the function of adipocytes, which shift from energy-dissipating beige adipocytes 153, 157 to energy-storing white adipocytes. Knockdown of IRX3 or IRX5 in primary adipocytes of mice significantly affects the energy balance of the entire body, leading to weight loss and a reduction in lipid storage. Above all, mice were completely resistant to high-fat diet. The researchers also summed these findings vividly using the phrases to "solve the case". First, they found that the direct "perpetrator" is not the FTO gene, but is IRX3 and IRX5. Second, the "crime locations" are preadipocytes. Third, the "crime" is that they inhibit lipid burning and energy metabolism. This pathway for the treatment of obesity offers new hope (Figure 3). The future of obesity treatment can be edited on the basis of an individual's risk for obesity by changing the genome; manipulating the body's metabolic master switch is expected to offset the environmental, lifestyle or genetic factors. However, the researchers also noted that although we understand the principle by which these genes lead to obesity, there is no simple method to develop a medication to control obesity. These discoveries will be crucial to move us toward the obesity treatment that we crave.

Role of Rpgrip1l

As mentioned earlier, originally of the FTO gene research, followed by the association of single nucleotide polymorphisms in intron 3 and intron 8, the formation of a large number of studies on the biology of the FTO gene 158-160. However, the Leibel group found another direction, choosing to focus on Rpgrip1l as being the potential target point 161, 162. They originally mainly studied two intronic single nucleotide polymorphisms, rs17817449 and rs8050136, and they predicted that these SNPs were located in a binding site for the transcription factor CUTL1, which acts as a transcriptional repressor by displacing activators and by recruitment of histone deacetylase 1. Preliminary in vitro data showed that siRNA-mediated reduction in cutl1 of 70% led to a decrease in FTO expression of 90% and a decrease in rpgrip1l of 65%; they are able to act as cux1 protein binding sites, and the FTO variation indirectly affects RPGRIP1L expression. Therefore, they determined that the two genes by cutl1/cux1 through the FTO gene first intron of a single adjustment possibility. Subsequently, researchers confirmed that RPGRIP1L plays a role in obesity. They used hemizygous RPGRIP1L mice, which reduced but did not eliminate the function of the gene (the loss of both copies of the gene in mice creates several serious defects, masking effects on food intake itself). The Rpgrip1l+/- mice had higher food intake and gained significantly more weight, with a higher percentage of body fat, than the control group. In subsequent experiments, the researchers found that RPGRIP1L deficient mice also had deficient leptin receptor signaling. The receptor was not properly set to the cell surface, so it was speculated that RPGRIP1L plays a role in the formation of leptin receptor clustering, which is important for efficient signaling. This model showed that decreased leptin receptor aggregation, negative energy balance, resulted in reduced CUX1 P200 and CUX1 P110 protein levels, showing that the cilia molecular abnormalities affect leptin receptor (a hormone that suppresses appetite), resulting in weight gain (Figure 3). Tests on mice show that is expected through the adjustment of intervention ciliary function so as to improve obesity. To understand the molecular mechanism of obesity, will help researchers to manipulate this mechanism, achieve the purpose of weight loss. The following Figure 3 shows the above three mechanisms of FTO locus association with the formation of fat cells and weight gain. It refers to FTO in relation to m6A demethylation, RUNX1T1, IRX3, IRX5, and Rpgrip1l, and the role of each.

Conclusions

Currently, we have a good understanding that multiple single nucleotide polymorphisms (SNPs) in intron 1 of FTO are strongly associated with obesity. More experiments on the mechanism of FTO SNPs on obesity should be performed due to the different alleles and different effects on different ethnic populations. The identification of a mechanistic basis for the association between the FTO locus and obesity in humans is now favorable; the relevant cell types and target genes have been partially identified. We also know that FTO is a DNA/RNA nucleic acid demethylase that localizes to the nucleus 139. Many studies have demonstrated that demethylation modification of m6A by FTO is required for inhibiting preadipocyte differentiation. However, there is still a need for further investigation into the molecular mechanisms underlying the involvement of FTO during adipogenesis. In addition, scientists have confirmed that FTO and mature fat cells interact, but the connection between these mechanisms and the FTO gene must be elucidated. Thus, additional studies are still required to explore the direct relevance of FTO SNPs and obesity. Moreover, understanding the interaction effects between FTO and its downstream partners could potentially offer new therapeutic directions to reverse the global trends towards fatness in combination with an FTO inhibitor. These bold visions will be essential to move us toward the world of precision medicine to which we aspire as well as the traditional treatment concept of transformation and innovations.
Table 2

Association between FTO SNPs and related diseases

FTO single nucleotide polymorphismsDateStudy samplesregionRelated diseasesRef.
rs1421085 (T/C)20132,077 T2DM patients and 3,085 healthy people (clinic-based)Europeandecreased insulin sensitivity index (P = 0.007)T2DM ( P = 0.001)[32]
201310447 men and women (population-based)African American and Europeandecline in cognitive function, assessed by performance on the Delayed Word Recall Test (P = 0.002)[33]
rs9939609(T/A)20113,919 T2D patients and 4,172 healthy people (clinic-based)South Asianincreased chances of T2DM ( P = 10-8)[34]
20122,858 PCOS patients and 2,358 healthy people (clinic-based)AsianT2DM ( P = 6 x 10-8)polycystic ovary syndrome( P = 1.3 x 10-11)[35]
200937,927 men and women (population-based)Europeanincreased systolic ( P = 4 x 10-5)increased diastolic blood pressure (P = 0.003)increased chances of hypertension ( P = 2 x 10-4)[36]
20122,816 patients and 2,932 healthy people (clinic-based)European and Asianincreased chances of pancreatic cancer[37]
rs8050136(C/A)20126,835 men and women (population-based)American Indianlower eGFR (P = 0.002)[38]
201021,674 women (population-based)Europeanincreased risk of cardiovascular disease[39]
rs804476920139764 OA patients and 5362 healthy people (clinic-based)Europeanincreased chances of knee osteoarthritis risk and body mass index[40]
2016196 OA cases and 442 healthy people (clinic-based)Chinesenot modify individual susceptibility to osteoarthritis (P = 0.791)[41]
rs11075995 rs9939609rs17817449(T/G) rs8050136(C/A) rs1477196 rs6499640 rs16953002 rs1121980(T/C)2015an overviewAfrican American and Europeanincreased chances of ER-negative breast cancer[42, 43]
rs16953002201312,313 patients and 55,667 healthy people (clinic-based)EuropeanIncreased chances of melanoma (P = 4 x 10-12)[44]

abbreviations: e-GFR, estimated glomerular filtration rate; ER, estrogen receptor; T2DM, type 2 diabetes mellitus

  144 in total

1.  FTO polymorphisms moderate the association of food reinforcement with energy intake.

Authors:  Jennifer L Scheid; Katelyn A Carr; Henry Lin; Kelly D Fletcher; Lara Sucheston; Prashant K Singh; Robbert Salis; Richard W Erbe; Myles S Faith; David B Allison; Leonard H Epstein
Journal:  Physiol Behav       Date:  2014-04-24

2.  Influence of physical activity on the association between the FTO variant rs9939609 and adiposity in young adults.

Authors:  Magdalena Muc; Cristina Padez; Licínio Manco
Journal:  Am J Hum Biol       Date:  2015-03-25       Impact factor: 1.937

3.  The obesity-associated Fto gene is a transcriptional coactivator.

Authors:  Qiong Wu; Rudel A Saunders; Maria Szkudlarek-Mikho; Ivana de la Serna; Khew-Voon Chin
Journal:  Biochem Biophys Res Commun       Date:  2010-09-19       Impact factor: 3.575

4.  FTO Obesity Variant Circuitry and Adipocyte Browning in Humans.

Authors:  Melina Claussnitzer; Simon N Dankel; Kyoung-Han Kim; Gerald Quon; Wouter Meuleman; Christine Haugen; Viktoria Glunk; Isabel S Sousa; Jacqueline L Beaudry; Vijitha Puviindran; Nezar A Abdennur; Jannel Liu; Per-Arne Svensson; Yi-Hsiang Hsu; Daniel J Drucker; Gunnar Mellgren; Chi-Chung Hui; Hans Hauner; Manolis Kellis
Journal:  N Engl J Med       Date:  2015-08-19       Impact factor: 91.245

Review 5.  Obesity and overweight in Canada: an updated cost-of-illness study.

Authors:  A H Anis; W Zhang; N Bansback; D P Guh; Z Amarsi; C L Birmingham
Journal:  Obes Rev       Date:  2009-04-21       Impact factor: 9.213

6.  Variability in the heritability of body mass index: a systematic review and meta-regression.

Authors:  Cathy E Elks; Marcel den Hoed; Jing Hua Zhao; Stephen J Sharp; Nicholas J Wareham; Ruth J F Loos; Ken K Ong
Journal:  Front Endocrinol (Lausanne)       Date:  2012-02-28       Impact factor: 5.555

7.  Knockdown of the fat mass and obesity gene disrupts cellular energy balance in a cell-type specific manner.

Authors:  Ryan T Pitman; Jason T Fong; Penny Billman; Neelu Puri
Journal:  PLoS One       Date:  2012-06-04       Impact factor: 3.240

8.  FTO-dependent demethylation of N6-methyladenosine regulates mRNA splicing and is required for adipogenesis.

Authors:  Xu Zhao; Ying Yang; Bao-Fa Sun; Yue Shi; Xin Yang; Wen Xiao; Ya-Juan Hao; Xiao-Li Ping; Yu-Sheng Chen; Wen-Jia Wang; Kang-Xuan Jin; Xing Wang; Chun-Min Huang; Yu Fu; Xiao-Meng Ge; Shu-Hui Song; Hyun Seok Jeong; Hiroyuki Yanagisawa; Yamei Niu; Gui-Fang Jia; Wei Wu; Wei-Min Tong; Akimitsu Okamoto; Chuan He; Jannie M Rendtlew Danielsen; Xiu-Jie Wang; Yun-Gui Yang
Journal:  Cell Res       Date:  2014-11-21       Impact factor: 25.617

9.  FTO is necessary for the induction of leptin resistance by high-fat feeding.

Authors:  Y C Loraine Tung; Pawan Gulati; Che-Hsiung Liu; Debra Rimmington; Rowena Dennis; Marcella Ma; Vladimir Saudek; Stephen O'Rahilly; Anthony P Coll; Giles S H Yeo
Journal:  Mol Metab       Date:  2015-02-07       Impact factor: 7.422

10.  A meta-analysis identifies new loci associated with body mass index in individuals of African ancestry.

Authors:  Keri L Monda; Gary K Chen; Kira C Taylor; Cameron Palmer; Todd L Edwards; Leslie A Lange; Maggie C Y Ng; Adebowale A Adeyemo; Matthew A Allison; Lawrence F Bielak; Guanjie Chen; Mariaelisa Graff; Marguerite R Irvin; Suhn K Rhie; Guo Li; Yongmei Liu; Youfang Liu; Yingchang Lu; Michael A Nalls; Yan V Sun; Mary K Wojczynski; Lisa R Yanek; Melinda C Aldrich; Adeyinka Ademola; Christopher I Amos; Elisa V Bandera; Cathryn H Bock; Angela Britton; Ulrich Broeckel; Quiyin Cai; Neil E Caporaso; Chris S Carlson; John Carpten; Graham Casey; Wei-Min Chen; Fang Chen; Yii-Der I Chen; Charleston W K Chiang; Gerhard A Coetzee; Ellen Demerath; Sandra L Deming-Halverson; Ryan W Driver; Patricia Dubbert; Mary F Feitosa; Ye Feng; Barry I Freedman; Elizabeth M Gillanders; Omri Gottesman; Xiuqing Guo; Talin Haritunians; Tamara Harris; Curtis C Harris; Anselm J M Hennis; Dena G Hernandez; Lorna H McNeill; Timothy D Howard; Barbara V Howard; Virginia J Howard; Karen C Johnson; Sun J Kang; Brendan J Keating; Suzanne Kolb; Lewis H Kuller; Abdullah Kutlar; Carl D Langefeld; Guillaume Lettre; Kurt Lohman; Vaneet Lotay; Helen Lyon; Joann E Manson; William Maixner; Yan A Meng; Kristine R Monroe; Imran Morhason-Bello; Adam B Murphy; Josyf C Mychaleckyj; Rajiv Nadukuru; Katherine L Nathanson; Uma Nayak; Amidou N'diaye; Barbara Nemesure; Suh-Yuh Wu; M Cristina Leske; Christine Neslund-Dudas; Marian Neuhouser; Sarah Nyante; Heather Ochs-Balcom; Adesola Ogunniyi; Temidayo O Ogundiran; Oladosu Ojengbede; Olufunmilayo I Olopade; Julie R Palmer; Edward A Ruiz-Narvaez; Nicholette D Palmer; Michael F Press; Evandine Rampersaud; Laura J Rasmussen-Torvik; Jorge L Rodriguez-Gil; Babatunde Salako; Eric E Schadt; Ann G Schwartz; Daniel A Shriner; David Siscovick; Shad B Smith; Sylvia Wassertheil-Smoller; Elizabeth K Speliotes; Margaret R Spitz; Lara Sucheston; Herman Taylor; Bamidele O Tayo; Margaret A Tucker; David J Van Den Berg; Digna R Velez Edwards; Zhaoming Wang; John K Wiencke; Thomas W Winkler; John S Witte; Margaret Wrensch; Xifeng Wu; James J Yang; Albert M Levin; Taylor R Young; Neil A Zakai; Mary Cushman; Krista A Zanetti; Jing Hua Zhao; Wei Zhao; Yonglan Zheng; Jie Zhou; Regina G Ziegler; Joseph M Zmuda; Jyotika K Fernandes; Gary S Gilkeson; Diane L Kamen; Kelly J Hunt; Ida J Spruill; Christine B Ambrosone; Stefan Ambs; Donna K Arnett; Larry Atwood; Diane M Becker; Sonja I Berndt; Leslie Bernstein; William J Blot; Ingrid B Borecki; Erwin P Bottinger; Donald W Bowden; Gregory Burke; Stephen J Chanock; Richard S Cooper; Jingzhong Ding; David Duggan; Michele K Evans; Caroline Fox; W Timothy Garvey; Jonathan P Bradfield; Hakon Hakonarson; Struan F A Grant; Ann Hsing; Lisa Chu; Jennifer J Hu; Dezheng Huo; Sue A Ingles; Esther M John; Joanne M Jordan; Edmond K Kabagambe; Sharon L R Kardia; Rick A Kittles; Phyllis J Goodman; Eric A Klein; Laurence N Kolonel; Loic Le Marchand; Simin Liu; Barbara McKnight; Robert C Millikan; Thomas H Mosley; Badri Padhukasahasram; L Keoki Williams; Sanjay R Patel; Ulrike Peters; Curtis A Pettaway; Patricia A Peyser; Bruce M Psaty; Susan Redline; Charles N Rotimi; Benjamin A Rybicki; Michèle M Sale; Pamela J Schreiner; Lisa B Signorello; Andrew B Singleton; Janet L Stanford; Sara S Strom; Michael J Thun; Mara Vitolins; Wei Zheng; Jason H Moore; Scott M Williams; Shamika Ketkar; Xiaofeng Zhu; Alan B Zonderman; Charles Kooperberg; George J Papanicolaou; Brian E Henderson; Alex P Reiner; Joel N Hirschhorn; Ruth J F Loos; Kari E North; Christopher A Haiman
Journal:  Nat Genet       Date:  2013-04-14       Impact factor: 38.330

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  19 in total

1.  FTO affects food cravings and interacts with age to influence age-related decline in food cravings.

Authors:  Linh C Dang; Gregory R Samanez-Larkin; Christopher T Smith; Jaime J Castrellon; Scott F Perkins; Ronald L Cowan; Daniel O Claassen; David H Zald
Journal:  Physiol Behav       Date:  2017-12-09

Review 2.  Genetic variation in satiety signaling and hypothalamic inflammation: merging fields for the study of obesity.

Authors:  Alexandria Maria Szalanczy; Chia-Chi Chuang Key; Leah Catherine Solberg Woods
Journal:  J Nutr Biochem       Date:  2021-12-20       Impact factor: 6.048

3.  The m6A demethylase FTO promotes the osteogenesis of mesenchymal stem cells by downregulating PPARG.

Authors:  Liu-Shan Chen; Meng Zhang; Peng Chen; Xiao-Feng Xiong; Pei-Qing Liu; Hai-Bin Wang; Jun-Jian Wang; Juan Shen
Journal:  Acta Pharmacol Sin       Date:  2021-08-30       Impact factor: 7.169

4.  Food preservative sorbic acid deregulates hepatic fatty acid metabolism.

Authors:  Chia-Hui Chen; Sin-Ni Ho; Po-An Hu; Yu Ru Kou; Tzong-Shyuan Lee
Journal:  J Food Drug Anal       Date:  2020-06-15       Impact factor: 6.157

5.  ANNORE: genetic fine-mapping with functional annotation.

Authors:  Virginia Fisher; Paola Sebastiani; L Adrienne Cupples; Ching-Ti Liu
Journal:  Hum Mol Genet       Date:  2021-12-17       Impact factor: 5.121

Review 6.  Converging vulnerability factors for compulsive food and drug use.

Authors:  Katherine M Serafine; Laura E O'Dell; Eric P Zorrilla
Journal:  Neuropharmacology       Date:  2021-04-20       Impact factor: 5.273

7.  Changes in Body Composition and FTO Whole Blood DNA Methylation Among Japanese Women: A Randomized Clinical Trial of Weight-Loss Program.

Authors:  Haruhiko Nishida; Katsuko Onishi; Satoshi Kurose; Hiromi Tsutsumi; Takumi Miyauchi; Nana Takao; Sawako Yoshiuchi; Aya Fujii; Yutaka Kimura
Journal:  Diabetes Metab Syndr Obes       Date:  2020-06-23       Impact factor: 3.168

8.  Methylation and Expression of FTO and PLAG1 Genes in Childhood Obesity: Insight into Anthropometric Parameters and Glucose-Lipid Metabolism.

Authors:  Wojciech Czogała; Małgorzata Czogała; Wojciech Strojny; Gracjan Wątor; Paweł Wołkow; Małgorzata Wójcik; Mirosław Bik Multanowski; Przemysław Tomasik; Andrzej Wędrychowicz; Wojciech Kowalczyk; Karol Miklusiak; Agnieszka Łazarczyk; Przemysław Hałubiec; Szymon Skoczeń
Journal:  Nutrients       Date:  2021-05-15       Impact factor: 5.717

9.  Genes associated with Type 2 Diabetes and vascular complications.

Authors:  Alberto Montesanto; Anna Rita Bonfigli; Roberto Testa; Fabiola Olivieri; Giuseppina Rose; Paolina Crocco; Paolo Garagnani; Maria De Luca; Massimo Boemi; Elena Marasco; Chiara Pirazzini; Cristina Giuliani; Claudio Franceschi; Giuseppe Passarino
Journal:  Aging (Albany NY)       Date:  2018-02-04       Impact factor: 5.682

10.  High fat diet consumption differentially affects adipose tissue inflammation and adipocyte size in obesity-prone and obesity-resistant rats.

Authors:  J M Poret; F Souza-Smith; S J Marcell; D A Gaudet; T H Tzeng; H D Braymer; L M Harrison-Bernard; S D Primeaux
Journal:  Int J Obes (Lond)       Date:  2017-11-20       Impact factor: 5.095

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