Diabetes 56:1468-1474, 2007 DOI: 10.2337/db06-1389 © 2007 by the American Diabetes Association
A Functional Variant of the Adipocyte Glycerol Channel Aquaporin 7 Gene Is Associated With Obesity and Related Metabolic Abnormalities
1 CSS-Mendel Institute, Rome, Italy Address correspondence and reprint requests to Sabrina Prudente, PhD, or Vincenzo Trischitta, MD, CSS-Mendel Institute, Viale Regina Margherita 261, 00198 Rome, Italy. E-mail: s.prudente{at}css-mendel.it (S.P.) or vincenzo.trischitta{at}uniroma1.it (V.T.)
Abbreviations:
AQP7, aquaporin 7; C/EBP, CCAAT/enhancer binding protein; FFA, free fatty acid; HWE, Hardy-Weinberg equilibrium; LD, linkage disequilibrium; MAF, minor allele frequency; PPAR, peroxisome proliferator–activated receptor; RXR, retinoid X receptor; SNP, single nucleotide polymorphism; UTR, untranslated region
Aquaporin 7 (AQP7), the gateway protein controlling glycerol release, has recently emerged as a modulator of adipocyte metabolism. AQP7 knockout mice develop obesity and hyperglycemia. The contribution of AQP7 to these abnormalities in humans is unknown. We examined whether common single nucleotide polymorphisms (SNPs) in the AQP7 gene modulate the risk of obesity and related abnormalities. Among several SNPs we identified, A-953G in the AQP7 promoter was associated with type 2 diabetes in 977 (530 female/447 male) Caucasians: odds ratio for XG (i.e., AG+GG) versus AA individuals was 1.36 (95% CI 1.01–1.84), P = 0.04. This finding was entirely due to the association among females (1.8 [1.2–2.6], P = 0.004), which was no longer significant when adjusted for BMI. In fact, BMI was higher in XG than in AA females (30.8 ± 6.6 vs. 28.9 ± 5.2, P = 0.002). This association was confirmed in independent case-control study (n = 299 female subjects) for morbid obesity (1.66 [1.01–2.74], P = 0.04). Luciferase and mobility shift assays showed that, compared with –953A, the –953G promoter had reduced transcriptional activity (P = 0.001) and impaired ability to bind CCAAT/enhancer binding protein (C/EBP)ß transcription factor (P = 0.01). Finally, AQP7 expression in adipose tissue decreased from AA to AG to GG individuals (P = 0.036). These data strongly suggest that AQP7 downregulation is pathogenic for obesity and/or type 2 diabetes. Obesity and related abnormalities, including type 2 diabetes and dyslipidemia, are becoming epidemic, thus representing major health care problems (1). Although these abnormalities have a clear genetic component, the involved genes are mostly unknown (2,3). Adipose tissue is an endocrine organ adapting metabolic fluxes to the amount of stored energy (4). When energy is required, adipose tissue triglycerides are hydrolyzed into free fatty acid (FFA) and glycerol (5). Glycerol serves as a substrate of gluconeogenesis into the liver and, under certain circumstances, also as a source of glycerol-3-phosphate for triglyceride resynthesis in adipocytes (6,7). Thus, glycerol production and its efflux from adipocytes modulates lipid and glucose homeostasis and, eventually, body weight control (6,8). Aquaporin 7 (AQP7/AQPap) is a unique adipocyte-specific glycerol channel (9) whose expression is tightly regulated by nutritional status and insulin levels being increased during fasting and insulin deficiency (10) and downregulated after refeeding and exposure to insulin (11). Both up- and downregulation of AQP7 expression play a role in the control of glucose and lipid homeostasis in animal models. Altered insulin signaling–mediated AQP7 overexpression and subsequent increased glycerol efflux from adipocyte have been proposed as molecular mechanisms linking obesity and insulin resistance to hyperglycemia in obese diabetic db/db mice (10). Conversely, intra-adipocyte glycerol accumulation and triglycerides resynthesis are responsible for increased fat mass (6,12) and subsequent hyperglycemia (6) in AQP7 knockout (KO) mice. By contrast, so far the role of AQP7 expression changes has been poorly investigated in humans where AQP7 downregulation was reported in a small sample of obese subjects (13). In addition, human AQP7 gene maps to a chromosomal region, 9p13.3-p21.1, reported to be linked to type 2 diabetes (14,15), increased BMI (14), and related abnormalities (16), thus pinpointing the gene as a candidate for these metabolic alterations. The aim of the present study was to investigate whether common variants of the AQP7 gene play a role in the risk modulation of type 2 diabetes and/or obesity.
Recruitment of a case-control study for the association with type 2 diabetes. Both case and control subjects were of Caucasian origin and resident in central Italy. Case subjects comprised 685 (340 male/345 female) patients with type 2 diabetes, consecutively recruited at the Endocrine Unit, Scientific Institute CSS in San Giovanni Rotondo, who met the following criteria: 1) diabetes diagnosed after age 30 years, 2) insulin treatment not required for at least 2 years after diabetes diagnosis, and 3) absence of clinically evident autoimmune disease. Clinical features of patients studied are shown in Table 1. The control group consisted in 292 (107 male/185 female, BMI 27.0 ± 4.5 kg/m2) unrelated subjects with the same age range (35–76 years, mean age 45.5 ± 8.2 years) as case subjects, being part of a larger sample of 661 healthy nondiabetic individuals thus far recruited for an ongoing study on the genetics of insulin resistance. In 541 individuals (203 male/338 female, age 36.6 ± 12 years, BMI 25.5 ± 4.6 kg/m2) from this sample, we had the opportunity to measure serum FFA levels (17), which were then compared between the different AQP7 genotypes at the A-953G single nucleotide polymorphism (SNP). Selection criteria of this control group were as follows: fasting plasma glucose <6.1 mmol/l, no medications known to affect glucose and lipid metabolism, and absence of systemic diseases.
Recruitment of a case-control study for association with morbid obesity. Both case (n = 211, age 38.8 ± 13 years, 67 male/144 female, BMI >40 kg/m2) and control (n = 270, age 37.3 ± 12 years, 120 male/155 female, BMI <30 kg/m2) subjects were of Caucasian origin and resident in central Italy. Selection criteria were as follows: fasting plasma glucose <6.1 mmol/l, no medications known to affect glucose and lipid metabolism, and absence of systemic diseases. All studies were performed according to the Declaration of Helsinki, and the protocol was approved by the local ethical committee. All subjects recruited provided written informed consent.
Resequencing and genotyping.
All PCRs were performed in 25-µl reaction volume containing 50 ng genomic DNA, 25 pmol of each oligonucleotide primer (forward 5'TGGATCCCAATTCCCTCC3' and reverse 5'GGTCTGCAGACACTGAGGA3'), and 2 units of Taq Gold (Applied Biosystem) in 1.5 mmol/l MgCl2. PCR conditions were as follows: denaturation at 94°C for 12 min; 35 cycles of denaturation (94°C, 30 s), annealing (64°C, 30 s), and extension (72°C, 30 s); and a final extension at 72°C for 7 min. Sequencing reactions were performed with the same primer sets used for amplification and big dyes v.3.1 sequencing reagents (Applied Biosystem) and then run on an automated DNA sequencer ABI Prism 3100 (Applied Biosystem).
Luciferase assay.
Both –953A wild-type and –953G promoter vectors were transiently cotransfected with the phRL-Renilla plasmid in addition to PPAR 2 and RXR pcDNA3.1 plasmids (both required for the promoter activity of AQP7 through its PPAR responsive element) in COS1 cells. Cells (1.5 x 105/well) were grown on a 12-well plate in Dulbecco's modified Eagle's medium supplemented with 10% fetal bovine serum, and rosiglitazone (BRL 49653; Cayman Chemical) was added 4 h after transfection at three different concentrations (50, 500, and 5,000 nmol/l). After 24 h, transfection mixture was removed, cells were harvested with passive lyses buffer (Promega), and luciferase activities were measured by a microplate luminometer (EG&G Berthold) using the dual luciferase reporter assay system (Promega) according to the manufacturer's protocol. Activity detected in cells transfected with empty vector was defined as nonspecific and subtracted from counts obtained in AQP7 promoter transfect cells stimulated with the same rosiglitazone concentration. The phRL-Renilla vector was used as an internal control for transfection efficiency and to normalize the results.
Electrophoretic mobility shift assay.
AQP7 expression in human subcutaneous adipose tissue.
Statistical analysis. Pairwise disequilibria measures (D' and r2) were calculated between polymorphisms by software programs PHASE (22) version 2.0 and Haploview (23) version 3.32. Haploview was also used to identify haploblocks, which were defined as solid spines of linkage disequilibrium (LD) (D' > 0.9).
PHASE was also used to reconstruct individual haplotypes. Haplotype association analyses were performed using Haplo Stats (24) and considered nonsignificant if the empirical global P value was
Resequencing and LD assessment. Using HapMap data (release 20/Gen06), the haploblock structure of the CEPH sample of Utah residents with European ancestry (CEU group) was evaluated. Defining a solid spine of LD as D' > 0.90, six haploblocks across 50 kb of genomic region encompassing the AQP7 locus (Fig. 1 and online appendix Table 1 [available at http://dx.doi.org/10.2337/db06-1389]) were identified. Pattern of LD observed along this region was rather modest. In detail, a highly preserved LD was observed in the 5' region of the AQP7 gene, while little significant LD was detected between 5' and 3' regions (online appendix Fig. 1). To verify and/or identify new AQP7 variants in our population, the entire coding region (seven exons) and regulatory sequences, both 5' and 3' UTRs and 2.5 kb of the promoter (18), were resequenced in a screening sample consisting of 50 individuals (25 healthy subjects and 25 obese type 2 diabetic patients). No variants, including previously described missense mutations (18), were identified in the coding region, while five SNPs, already reported in public database (National Center for Biotechnology Information dbSNP), were recognized in regulatory regions: rs13434 (minor allele frequency [MAF] = 0.04), rs2989924 (MAF = 0.46), rs3758269 (MAF = 0.11), rs3758268 (MAF = 0.07), and rs3758267 (MAF = 0.11); rs13434 was located in the 3' UTR and the other four in the promoter (Fig. 1). LD degree evaluated among the SNPs in our screening sample was very similar to that obtained with the CEU sample in the HapMap, with a highly preserved LD observed only in the 5' region of the gene (online appendix Fig. 2). Pairwise disequilibrium measures showed that rs3758269 (which was not genotyped in the HapMap sample) was in perfect LD (r2 = 1) with rs3758267 but not with rs2989924 (r2 = 0.1). Noteworthy, both rs3758269 and rs2989924 are close to a predicted binding site for C/EBPß transcription factor (18). Based on their MAF (i.e., excluding uncommon variants defined as having MAF < 0.1), LD degree, and possible biological significance, SNPs rs2989924 (A-953G) and rs3758269 (C-1123T) were tested in association studies.
Association studies.
At variance, the proportion of genotypes at the C-1123T SNP (CC, CT, and TT) (which was in HWE) did not differ between control subjects and type 2 diabetic patients: 232 (79.5%), 58 (19.9%), and 2 (0.7%) vs. 527 (76.9%), 142 (20.7%), and 16 (2.4%), respectively, P = 0.19. Also, no difference in BMI values was observed across the three different genotypes in all study subjects considered together (data not shown).
We then investigated the role of haplotypes given by the combination of both A-953G and C-1123T SNPs (i.e., the first within and the second outside the high LD region, respectively, online appendix Fig. 2) on type 2 diabetes and/or BMI. Computational phase inference indicated three possible haplotypes, namely AC, AT, and GC, whose proportions were not different between control subjects and type 2 diabetic patients (43.4, 10.7, and 45.9% vs. 38.8, 12.6, and 48.6%, respectively, P = 0.133). Similarly, a different BMI was not observed in individuals carrying the three different haplotypes (data not shown). Taken altogether, data from this first association study clearly suggest that, according to a dominant model, the –953G variant is a marker of increased BMI and eventually, through body weight changes, type 2 diabetes. To replicate the association with increased BMI, independently of type 2 diabetes, a second differently designed case-control study was performed by comparing nondiabetic individuals with extreme BMI phenotypes (25), namely nonobese (BMI <30 kg/m2, 24.8 ± 2; n = 275) versus morbid obese (BMI
KO mice for the AQP7 gene show increased serum FFA levels as a consequence of intracellular adipocyte metabolic derangement (6). To investigate whether the A-953G SNP had a role on serum FFA concentrations, 541 nondiabetic, healthy individuals (338 female subjects, aged 36 ± 12 years, BMI 24.9 ± 4.8 kg/m2 and 203 male subjects, aged 37 ± 12 years, BMI 26.4 ± 3.9 kg/m2) were studied. Compared with AA individuals, FFA levels were higher in XG carriers among female subjects (0.55 ± 0.2 vs. 0.60 ± 0.2 mmol/l, AA vs. XG, respectively, age-adjusted P = 0.040) but not among male subjects (0.58 ± 0.3 vs. 0.54 ± 0.2 mmol/l, AA vs. XG, respectively, P = 0.363, after adjusting for age). Statistical significance in female subjects did not change much (P = 0.045) after also adjusting for BMI, whose mean values were not different across the different genotype groups (24.9 ± 4.7 and 24.9 ± 4.9 kg/m2 in AA and XG individuals, respectively, P = 0.918) most likely because, according to selection criteria, these were healthy and mostly young and nonobese individuals (see RESEARCH DESIGN AND METHODS).
Functional and gene expression studies.
We also had the opportunity to measure AQP7 expression levels in subcutaneous adipose tissue of 13 nondiabetic untreated individuals: 8 (3 male/5 female, aged 40.4 ± 11.9 years) were nonobese (BMI <30 kg/m2, 23.7 ± 3.0) and 5 (2 male/3 female, aged 40.2 ± 16.4 years) were obese (BMI 30 kg/m2, 43.0 ± 12.2). Obese individuals showed a marked (P = 0.001) downregulation of AQP7 expression in respect to nonobese individuals (Fig. 4A). In addition, although data are obtained in a small number of individuals and have to be therefore interpreted with great caution, AQP7 mRNA levels seemed to progressively decrease according to the number of –953G alleles (from zero to two alleles in AA, AG, and GG individuals, respectively, P = 0.036 by linear regression analysis) with the A-953G SNP being able to predict 34% of AQP7 mRNA level variability (Fig. 4B). Although this association was no longer significant when adjusted for BMI (P = 0.085), it was still observable when only nonobese individuals were analyzed (r2 = 0.68, P = 0.012), thus leaving open the possibility of a direct effect of the –953G variant on in vivo AQP7 expression independent of BMI changes.
To the best of our knowledge, this is the first data to describe the association between a common polymorphism in the promoter region of the human AQP7 gene (i.e., the A-953G SNP) and several metabolic alterations including obesity, type 2 diabetes, and high circulating FFA levels. In addition, measurement of mRNA content in adipose tissue and functional studies in transfected cells clearly support a biological role of the –953G variant in negatively modulating AQP7 expression by reducing C/EBPß-DNA binding, which in turn impairs AQP7 promoter transcriptional activity. Of note, as shown in KO mice, the lack of AQP7 gene is responsible for reduced glycerol efflux from adipocyte, which has profound deleterious effects on lipid accumulation, body weight, and glucose homeostasis, resulting in a phenotype very similar to that observed here in individuals carrying the –953G variant. Based on our present data, it is therefore possible to speculate that also in humans AQP7 plays a role in metabolic pathophysiology. In detail, the entire set of our data suggests that subjects carrying the –953G variant have a reduced AQP7 expression in adipose tissue, which in turn increases the risk of obesity and eventually type 2 diabetes. A role of AQP7 in human metabolic derangements is also suggested by preliminary data showing a reduced AQP7 expression in obese individuals (13) (a finding we were able to replicate in this study) and by the observation that the only subject thus far described being homozygous for an AQP7 missense functional mutation showed a marked reduction in exercise-induced changes in serum glycerol concentration (18). Despite higher FFA levels, no evidence of insulin resistance (i.e., as indicated by surrogates of this condition including serum insulin levels and/or homeostasis model assessment index) was observed in nondiabetic untreated –953G carriers. This finding is likely to be due to the low sensitivity of surrogates in detecting subtle changes of insulin-resistance as those presumably given by the small increase in circulating FFA concentrations observed in –953G carriers. All the genotype-phenotype associations we observed seem to be sex-specific, being observable among female but not male subjects. As a matter of fact, a sex-specific genetic effect on BMI modulation has been previously reported in several animal models (28,29) as well as in humans (30). In addition, sexual dimorphism has been also reported in the modulation of circulating FFA concentration (31), a finding that might be due to a sex-specific genetic effect, like the one we here describe. Whether the sex specificity we observed is due to interaction of AQP7 gene with either sex-linked genes and/or sexual hormone effects is not known and deserves further, specifically designed, studies. It should be pointed out that we have performed a complete resequencing of coding and regulatory but not of intronic regions, which, according to the latest HapMap release (21 July 2006), contains only two intragenic common variants, one of which is located within a recombinant hot spot. Thus, due to these intrinsic limitations, the study we were able to design does not represent a comprehensive investigation of the entire AQP7 gene and is in fact mainly restricted to the promoter region. This leaves open the possibility that other yet unidentified SNPs may turn out to be associated with obesity and related abnormalities. We acknowledge that in complex disorders, genotype-phenotype associations may represent false-positive results due to population stratification and/or chance. This does not seem to be the case of the present study for the following reasons. First, the population studied is relatively homogeneous, all individuals being Caucasians from central Italy, making the possibility of population stratification remote. Second, the association with increased BMI was replicated in a second independent sample. Finally, expression data in adipose tissue and functional studies in transfected cells clearly support a biological role of the –953G variant in negatively modulating AQP7 expression. These data reinforce the plausibility of the observed genotype-phenotype association. Therefore, although our data cannot presently be claimed as definitive, they are unlikely to represent false-positive findings and might serve the function of new hypothesis generating to be unequivocally confirmed in further larger studies. In conclusion, present data obtained in –953G carriers highly resemble those obtained in AQP7 KO mice (6), thus suggesting that also in humans AQP7 downregulation is pathogenic for obesity and related abnormalities, which makes AQP7 a new attractive drug target. Of note, thiazolidinediones, the recently developed insulin sensitizer drugs currently used for the treatment of type 2 diabetes, upregulates AQP7 expression (26,32). If data on the –953G variant are confirmed in additional studies, they may serve an important function to help identify at-risk individuals whom targeting specific and early preventive strategies should be aimed.
This work was partly supported by Italian Ministry of Health (Ricerca Corrente 2005 to S.P.). We are grateful for the generous gift of C/EBPß plasmid from Dr. Michele Pelosi (EMBL Mouse Biology Unit, Monterotondo, Italy).
The following are a list of accession codes. GenBank: AQP7 NM_001170, PPAR
Published ahead of print at http://diabetes.diabetesjournals.org on 9 March 2007. DOI: 10.2337/db06-1389. Additional information for this article can be found in an online appendix at http://dx.doi.org/10.2337/db06-1389. The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact. Received for publication October 1, 2006 and accepted in revised form January 21, 2007
This article has been cited by other articles:
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||