Seasonal effects of the UCP3 and the RPTOR gene polymorphisms on obesity traits in Japanese adults
© Nakayama et al.; licensee BioMed Central. 2014
Received: 1 October 2014
Accepted: 2 December 2014
Published: 22 December 2014
Non-shivering thermogenesis (NST) involves a substantial amount of energy expenditure in humans and, thus, contributes to reducing the risk for obesity. Molecular evolutionary studies have reported that SNPs in/near the uncoupling protein 3 gene (UCP3) and the regulatory associated protein of mTOR complex 1 gene (RPTOR) might influence NST and confer adaptive advantages for modern human dispersal into cold environments. In the present study, the impact of these SNPs on obesity-related traits was investigated.
Study subjects consisted of 2,834 Japanese adults (percentage of female: 46%, mean age: 51.5). Associations of the UCP3-55C/T and the RPTOR-26934C/T - the 2 potential genetic variations involved in cold adaptation and thermogenic mechanisms in mammals, with quantitative obesity-related traits including body mass index (BMI), waist circumference, visceral fat area (VFA), VFA adjusted for BMI, and selected blood parameters - were tested using multiple linear regression models. Sliding windowsampling analysis was applied to depict seasonal effects of the SNPs on the obesity-related phenotypes.
UCP3-55C/T and the RPTOR-26934C/T did not show any association with obesity traits and blood chemical parameters in multiple linear regression models consisting of the whole subjects. Moreover, sliding window sampling-based association analyses involving seasonality also failed to find associations between these two SNPs and obesity-related traits.
UCP3-55C/T and the RPTOR-26934C/T may only have subtle effects on the development of obesity-related traits in the present humans. These two SNPs might be irrelevant to inter-individual variations in energy metabolism and efficiency of NST.
KeywordsUncoupling protein 3 gene Single nucleotide polymorphism Visceral fat accumulation Seasonality
The principal cause of obesity in humans is the imbalance of energy intake and expenditure. Non-shivering thermogenesis (NST) currently draws much attention as a factor for reducing the risk of obesity through enhancement of energy expenditure. NST mainly occurs in thermogenic adipocytes including brown and beige/brite adipocytes (BAT) [1–4]. The amount of active BAT observed in the human body is strongly influenced by the age of the subject. The age-related decline of BAT is thought to increase risks for obesity in adults . Additionally, activation of BAT has frequently been observed in experiments performed in cold seasons compared to hot seasons . The seasonality of BAT activity would partly explain the enhancement of energy expenditure in winter [6, 7]. NST likely had an adaptive significance in the modern human dispersal into cold environments. The susceptibility to obesity in the present human populations is thus considered to have been partly shaped by past genetic adaptation to cold environments [8, 9].
A SNP near the uncoupling protein 1 gene (UCP1), namely UCP1-3826G/A, is a promising genetic variation linking cold adaptation and resistance to obesity. UCP1 is a mitochondrial protein highly expressed in BAT and dissipates the energy for ATP synthesis as heat. . The A allele of the -3826 site, which increased the UCP1 expression levels, was linked with higher BAT activity and reduced risks of obesity [10–13]. A worldwide survey of human genome variations revealed that the A allele was more prevalent in ethnic groups inhabiting higher latitudes. The cline was considered to be shaped by past adaptations to cold environments: the A allele was more adaptive at higher latitudes due to its enhanced activity in NST .
Besides the UCP1-3826G/A, genetic variations supporting the relationship between past cold adaptation and the present susceptibility to obesity have not been extensively studied . Evolutionary genetic studies have reported several SNPs that showed striking correlation between allele frequencies and geographic or climatic factors [15–17]. Among them, SNPs near uncoupling protein 3 gene (UCP3-55C/T) and the regulatory associated protein of the mTOR complex 1 gene (RPTOR-26934C/T) were considered to be potential adaptive genetic variation candidates, since molecular and animal studies have suggested relevance of these 2 genes in thermogenic mechanisms in mammals. UCP3 is a member of the uncoupling protein gene family and possibly takes part in the NST in skeletal muscles . RPTOR encodes an intracellular signaling protein that participates in regulation of cell growth . Adipocyte-specific knockout of Rptor (mouse homologue of RPTOR) induced enhanced mitochondrial respiration and lean phenotypes in mice . These SNPs, therefore, may contribute to susceptibility to obesity similar to UCP1-3826G/A. In the present study, we performed genetic associations using a large-scale cohort to assess the impact of the UCP3 and RPTOR SNPs on obesity-related traits in modern humans.
The study population comprised 3,013 Japanese adults who attended general health checkups in the Jichi Medical University Healthcare Center during January 2009 to March 2011[8, 13]. All participants provided written informed consent. Medical information from the health checkup and genome DNA were obtained from all participants. Visceral fat area (VFA) was measured with the bioelectrical impedance method at the umbilical level . Waist circumference (WC) at the umbilical level was measured using a tape measure. Blood medical traits including fasting plasma glucose (FPG), hemoglobin (Hb) A1c, plasma triglycerides (TG), total cholesterol (TC), high density lipoprotein cholesterol (HDL-c) were directly measured using standard methods. Low density lipoprotein cholesterol (LDL-c) levels were estimated using the Friedewald’s formula. Individuals who had undergone abdominal surgery were excluded from the analyses. The study design was approved by the Ethical Committee of Jichi Medical University.
Genotypes of UCP3-55C/T (rs1800849) and RPTOR-26934C/T (rs11868112) from each participant were determined using TaqMan SNP Genotyping Assays on a ViiA 7 Real Time PCR System (Thermo Fisher Scientific, Waltham, MA, USA), and KAPA PROBE FAST qPCR kit (Kapa Biosystems, Boston, MA, USA).
χ2 goodness-of-fit test was used to assess the Hardy-Weinberg equilibrium of the genotype distribution. In the association analyses, an additive model was assumed. Association of SNP genotypes and quantitative traits was assessed using multiple linear regression models . For body mass index (BMI), WC, and VFA, the number of T alleles (0, 1, and 2), sex, age, speed of walking (based on the health checkup questionnaire question: 'Do you walk faster than other people of same sex and about same ages?') of each participant  were included as explanatory variables. Associations of SNPs and obesity-related blood parameters including FPG, HbA1c, TG, TC, HDL-c and LDL-c were also tested. In addition to genotypes, sex, age, and BMI were also included as explanatory variables for the blood parameters. Seasonality of SNP effects on VFA was evaluated using the sliding window sampling, which was previously used to show the seasonal effect of UCP1-3826G/A on VFA. Briefly, associations of the SNPs with VFA were tested in 12 subsets of the populations, each consisting of individuals sampled during overlapping continuous 3-month periods. Monthly outdoor temperature data measured at the nearest observatory were obtained from the Japan Meteorological Agency. The above-described statistical tests were performed using SPSS version 22 (IBM Corporation, Armonk, NY, USA).
Results and Discussion
Characteristics of successfully genotyped individuals
Numbers of individuals
Association between obesity-related traits and the tested SNPs
Associations between the tested SNPs and selected blood parameters
There are certain limitations to our study. Our large-scale cohort allowed us to test seasonality of the effect of SNPs; however, longitudinal analyses, instead of the sliding window analysis, may be more preferable to depict seasonal effect. Moreover, precise information about physical activity and dietary intakes, which should be controlled in the association analyses of obesity-related traits, was unavailable in our cohort. The present multiple linear regression models were not adjusted for skeletal muscle mass, which would have a large impact on obesity-related traits [22, 23]. Moreover, winter temperature of the study site (Kanto, Japan) was possibly not low enough to stimulate NST in skeletal muscle. Considering the nature of NST in skeletal muscle might be required to test the association of the UCP3 and obesity-related traits. The present study tested a single SNP by a locus, but other SNPs influencing obesity-related traits have been reported for the UCP3 and the RPTOR[24–27]. Therefore, the nearby SNPs and their haplotypes should be assessed for their association with obesity-related traits. Relevance of these two SNPs to NST must be tested by precise physiological genetic experiments using a climate chamber .
Overall, our genetic association analyses including seasonality on a large-scale cohort showed that the UCP3-55C/T and the RPTOR-26934C/T did not influence obesity-related traits. Roles of the UCP3 and the RPTOR in NST remain unclear but the effects of these two SNPs on energy metabolism balance and, perhaps, on efficiency of NST in humans may be subtle. Climate-associated natural selection on the UCP3-55C/T and the RPTOR-26934C/T can be explained by physiological functions other than NST. UCP3 has been shown to be involved in the regulation of reactive oxygen species in mitochondria and, thus, may play a role in the maintenance of mitochondrial functions . RPTOR encodes a subunit of the mammalian target of rapamycin (mTOR) complex 1 (mTORC1), which is a protein complex regulating protein synthesis in response to nutrition, energy, and cellular redox status . The mTORC1 participates in various biological pathway including cell proliferation, angiogenesis, and various immune systems. Adaptation to pathogens, for instance, may explain the climate associated evolution of RPTOR-26934C/T . Associations of these two SNPs with other various physiological traits should be tested in future. Finally, the signature of adaptive evolution for the UCP3 and the RPTOR should be re-verified using molecular evolutionary methods other than those adopted by Hancock et al. and Sun et al. [14–17].
brown and beige/brite adipose tissues
body mass index
fasting plasma glucose
high density lipoprotein cholesterol
low density lipoprotein cholesterol
mammalian target of rapamycin complex 1
polymerase chain reaction
regulatory associated protein of mTOR complex 1
single nucleotide polymorphism
uncoupling protein 1
uncoupling protein 3
visceral fat area
We are grateful to the staff of the Jichi Medical University Health Care Center. This study was supported in part by MEXT KAKENHI: Grant Numbers 25291103, 26291096 (KN).
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