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Obesity has become an increasingly important medical condition in children and adolescents. Many metabolic and cardiovascular complications associated with obesity, previously thought to be adult diseases, are now affecting children too.

Together with the increasing prevalence of obesity, primary hypertension has become more common in children than secondary hypertension (1). Obese children run a 4.5- and 2.4-fold greater risk of high systolic and diastolic blood pressure than nonobese children, and hypertension in childhood represents the major risk factor for cardiovascular morbidity and mortality in adults (1,2).

Determination of body weight and composition, blood pressure, and plasma triglycerides is multifactorial, both genetic and environmental factors contributing to it. A large number of genes, markers, and chromosomal regions have been associated with human obesity phenotype (35), essential hypertension (69), and high plasma TG levels (10).

Insulin-like growth factors type I (IGF-I) and type II (IGF-II), besides their major function in growth and cell differentiation, play a role in regulating glucose homeostasis, cardiovascular functions, and lipid metabolism (11,12).

In particular, the insulin-like growth factor 2 (IGF2) gene is candidate for association with obesity (1316). This imprinted gene lies in close proximity to the insulin and tyrosine hydroxylase genes on chromosome 11p15, in a genomic region related to regulation of both body weight and cardiovascular risk (15,1719). Moreover, a recent study conducted on Prague hypertriglyceridemic rats demonstrated a possible important role of IGF2 gene in lipid metabolism and blood pressure regulation (20). At least four polymorphisms within the IGF2 gene have shown a strong association with body weight, body mass index (BMI), and related metabolic changes in adult men (13,14,21). One of these variants, the 820 G/A (ApaI), has also been associated with circulating concentrations of the hormone.

Considering that IGF2 gene variants have a role in regulating body weight and metabolic profile and the lack of data in childhood obesity, we decided to screen two IGF2 single nucleotide polymorphisms (SNPs), the 6815 A/T in the P1 promoter region and the 820 G/A (ApaI) in the untranslated region (3′UTR) of exon 9, in a population of obese children and adolescents to evaluate the potential association between variants of this gene with either obesity or high blood pressure (assessed with a 24-h holter system) or both.

METHODS

This study has been approved by Review Board of Department of Pediatrics “F. Fede”, Second University of Naples, Naples, Italy.

Subjects.

Two independently recruited cohorts of obese children and adolescents were included in the study. The first cohort was composed by 227 subjects (128 girls; mean age 10.5 ± 2.9 y) recruited from 2005 to the end of 2006 at the Department of Pediatrics of the Second University of Naples. A second cohort composed by 200 obese subjects referred at the same department from February to September 2009 (86 girls; mean age 10.4 ± 3.0 y). Only subjects referred for the first time to our department, who were not under therapy for hypertension, were enrolled in the study. A control population of 200 subjects having normal weight for height (lean controls) (100 girls; mean age 10.3 ± 2.8 y) were enrolled in the study. The control population was chosen as previously described (22). Pubertal stage was evaluated according to Tanner staging (23).

Measurements.

Height was measured with a wall mounted Harpender stadiometer and SD scores for height were calculated according to Tanner and Whitehouse (23). Weight measure was performed with subjects in minimal clothes, with a scale accurate to the nearest 0.1 kg. BMI was calculated as weight in kilograms divided by the square of height in meters. Obesity was defined as BMI exceeding the 95th percentile for sex and age according to reference values, and the deviation from the mean reference value was evaluated by calculating the SD scores (z-scores) (24).

Protocol and data analysis.

All obese patients underwent an ambulatory blood pressure monitoring (ABPM) measurement. Systolic blood pressure (SBP) and diastolic blood pressure (DBP) were measured three times while the subjects were seated and the two last measurements were averaged for the analysis. A SpaceLabs model 90207 monitor (SpaceLabs, Inc., Redmond, WA) weighing 340 g (including batteries) was used for ABPM. This device uses an oscillometric method with a deflation rate of 8 mm Hg/s. The proper cuff was selected from among three sizes supplied by the manufacturer (10 3 13, 13 3 24, and 24 3 32 cm) according to the arm length of the subject. The cuff wrapped completely around the nondominant upper arm with the bladder covering at least two-third of it. The device was checked against a mercury sphygmomanometer by a Y-tube. Ambulatory blood pressure monitoring was performed on regular school days with normal recreational activities. SDs according to height were calculated for systolic and diastolic 24-h mean values and for day-time and night-time means by using as reference the LMS method according to Wuhl et al. (25). Hypertension in ABPM was defined as mean systolic or mean diastolic 24-h blood pressure higher than 95th percentile adjusted for height (25).

After informed consent, genomic DNA was collected from nucleated white blood cells of all subjects. Samples were obtained anonymously from controls undergoing routine analysis. The two IGF2 gene SNPs, 6815A/T (rs3842759) at nucleotide position 6815 in the GenBank sequence L15440 and 820 G/A (ApaI, rs680) at nucleotide position 820 in the GenBank sequence X07868, were PCR amplified. Genotype screening of the amplicons was performed by denaturing HPLC (DHPLC) on a WAVETM MD 4000 plusTM DNA fragment Analysis System (Transgenomic, Inc., Omaha, NE). PCR products were analyzed alone and mixed in approximately equimolar proportions with an amplified sample known to contain a GG genotype for 820 G/A polymorphism and AA genotype for 6815 A/T polymorphism, then denatured at 94°C for 5 min and cooled at room temperature, to allow heteroduplex formation. Samples with or without an altered chromatographic profile were randomly chosen to be sequenced. Direct sequencing was performed after purifying PCR products with QIAquick PCR purification kit (QIAGEN, Hilden, Germany). Both strands were sequenced using the BigDye Terminator v3.1 Cycle Sequencing Kit (Applied Biosystems, Foster City, CA) and analyzed on an ABI PRISM 310 automated sequencers (Applied Biosystem, Foster City, CA). Sequences were analyzed by the Sequencing Analysis 3.4 version software.

A χ2 test was generated to evaluate the linkage disequilibrium and to test the differences of genotypes and allele frequency. Hardy-Weinberg equilibrium test was applied on the nonobese and obese children separately. In the population of obese children, genotypes features were compared by using a general linear model. A multivariate analysis was used to evaluate the effect of the genotype on SBP and DBP singularly and the interaction between genotype and gender or pubertal status. Along with the interaction terms, the model included age, BMI, and height. A logistic regression was used to calculate the odds of obese subjects developing hypertension according to the genotype. Although raw values are shown, nonnormally distributed variables were log-transformed before analyzing them. Data are expressed as mean and SDs. A p value <0.05 was considered statistically significant.

RESULTS

One hundred eighteen obese subjects (53.6%, 58 girls) in the first cohort, 104 obese subjects in the second cohort (52%, 47 girls), and 115 lean controls (57.5%, 61 girls) were prepubertal (p = 0.8). Obese children showed higher values of systolic and diastolic blood pressure than lean subjects (p < 0.001). Among obese children, 49 (30 females; 22 prepubertal) showed a mean systolic or mean diastolic 24-h blood pressure higher than 95th percentile adjusted for height.

With regard to the 6815 A/T SNP, the A allele frequency was 0.61 (cohort 1) and 0.53 (cohort 2) in obese and 0.54 in controls (p = 0.5 and 0.9, respectively), whereas the T allele frequency in obese subjects was 0.39 (cohort 1) and 0.57 (cohort 2) and 0.46 in controls (p = 0.5 and 0.1, respectively). In addition, the genotype distribution was similar in obese and controls (obese: AA 42%, AT 43%, TT 15%; controls: AA 34%, AT 44%, TT 22%; p = 0.2). Allele frequencies were in Hardy-Weinberg equilibrium in all the populations (both p > 0.1).

Clinical features of obese subjects were compared according to IGF2 genotypes (Table 1). When the clinical features of obese children were evaluated according to the genotype, the three groups of genotype differed only for the systolic blood pressure (AA: 112.5 ± 11.6, AT: 114 ± 10.6, TT: 119 ± 15.3; p = 0.007). Although the same trend was observed, there were no statistically significant differences in diastolic blood pressure (AA: 64.4 ± 9.3, AT: 65.4 ± 9.2, 67.2 ± 10.7; p = 0.3). This observation was also confirmed by comparing the 24-h blood pressure values between the three groups of genotypes (Table 1). The evaluation performed in the second group of obese subjects confirmed and corroborated this observation (Table 2). Because differences in gender and pubertal status may influence changes in blood pressure, a multivariate analysis was performed separately in the two cohorts to assess whether there was an interaction between puberty and/or gender with the genotype. There was no interaction between genotype and gender or pubertal status in both cohorts (cohort 1: genotype × pubertal status, p = 0.09; genotype × gender, p = 0.2; cohort 2: genotype × pubertal status, p = 0.4; genotype × gender, p = 0.4). The association between the studied polymorphism and blood pressure was not seen in lean controls (Table 3).

Table 1 Comparison of the clinical features according to the three different IGF2 genotypes obtained by general linear model
Table 2 Comparison of the clinical features according to the three different IGF2 genotypes obtained by general linear model
Table 3 Comparison of the clinical features according to the three different IGF2 genotypes obtained by general linear model in the control population

Moreover, homozygote subjects for the rare allele showed a higher risk to develop hypertension than subjects carrying the other genotypes. In particular, 20 A/A (21%), 20 heterozygotes (20%), and 18 T allele (50%) homozygotes were hypertensive (χ2 11.1, p = 0.003; OR = 3.7, 95% CI: 1.59–8.66) (Fig. 1A). The same result was obtained in the second population of obese subjects (χ2 14.3, p = 0.001; OR = 4.1; 95% CI: 1.41–6.50) (Fig. 1B). No other differences between the IGF2 genotypes were observed.

Figure 1
figure 1

Prevalence of patients with hypertension according to the IGF2 genotypes in cohort 1 (A) and cohort 2 (B).

Concerning the 820 G/A (ApaI) polymorphism of the obese subjects, 45.2% were G homozygotes, 39.5% were heterozygotes, and 15.3% were A homozygotes, whereas among lean controls, 46.7% were G homozygotes, 48.9% were heterozygotes, and 5% were A homozygotes (p = 0.07). The G allele frequency was 0.65 in obese and 0.71 in lean controls (p = 0.6), whereas the A allele frequency was 0.35 in obese subjects and 0.29 in controls (p = 0.4). No association between the 820 G/A (ApaI) polymorphism and blood pressure was observed for both systolic (AA: 114.9 ± 15.6, AT: 116.1 ± 13.9, TT: 115 ± 18.3; p = 0.1) and diastolic blood pressure (AA: 66.1 ± 11.9, AT: 65.6 ± 13.1, 65.5 ± 15.1; p = 0.3). This observation was also confirmed by comparing the 24-h blood pressure values between the three groups of genotypes (data not shown).

None of the two SNPs tested showed significant association with BMI (p > 0.05).

DISCUSSION

In this study, we observed a significant association between the 6815 A/T IGF2 gene variant and high systolic blood pressure, assessed with a 24-h holter system, in obese children and adolescents.

In particular, obese homozygote subjects for the T6815 allele showed, even in 24-h measurements, higher systolic blood pressure than those carrying the A6815 allele. By contrast, we did not observe any difference in IGF2 variant genotype frequencies between lean and obese children and, in the subset of obese children, any statistically significant difference in terms of BMI between the genotype groups.

The hypothesis of a possible influence of IGF2 gene polymorphism on body weight is still being discussed. In previous studies conducted in adult men, three IGF2 polymorphisms were independently associated with BMI (13,14). However, other studies did not confirm this observation (18,26). Furthermore, O'Dell et al. (27) did not find an association between IGF2 ApaI polymorphism and body weight in their young adult population, but in older subjects (13). The authors therefore hypothesized that the effect of this polymorphism on BMI might occur only later in life, possibly as a consequence of the interaction with environmental factors related to age.

In our study, we did not find a significant association between BMI and the two IGF2 SNPs analyzed, confirming the data reported by other authors (26,28,29), but we found an interesting association between the 6815 A/T polymorphism of the promoter region of the IGF2 gene and systolic blood pressure in obese subjects. Specific haplotypes of IGF2-INS-TH gene cluster are associated with significantly fat mass and high blood pressure in humans, thus representing cardiovascular risk traits (19). Experiments in Prague hereditary hypertriglyceridemic (HTG) and hypertensive rats confirmed the importance of IGF2 gene for determining metabolic and cardiovascular phenotypes. In particular, polymorphism of IGF2 gene seems to play an important role in lipid metabolism and to be involved in blood pressure regulation through a particular vasoactive system (20).

In addition, the role of IGF-II in the central regulation of neuropeptide Y, a powerful vasoconstrictor peptide, has been demonstrated in vitro (30). Recently, some of us (31) demonstrated that Y2 receptor gene variants, encoding the Y2 receptor subtype binding both the NPY and YY (PPY) peptides, are involved in blood pressure regulation in obese children and adolescents.

A functional role of the 6815 A/T polymorphism in the P1 promoter of the IGF2 gene in effecting a conformational change in DNA has been suggested (14,32,33). In fact, as the CCAAT/enhancer binding protein α (C/EBP α) has been identified as a major contributor to postnatal liver-specific activation of the human IGF2 P1 promoter (its recognition site being situated 27 bp upstream of 6815 A/T) (34), we hypothesize that the alteration of IGF-II expression resulting from the A-T change could be involve in blood pressure regulation through a particular vasoactive system.

Unfortunately, the lack of data about blood pressure measurements in our cohort of lean subjects does not allows us to understand whether the effect of this variant is present in lean children too or linked to the presence of obesity. On the other hand, according to our results, the early clinical course of hypertension in obesity is initially characterized by a predominance of isolated systolic without diastolic hypertension (1), with elevated nocturnal systolic blood pressure values, and/or attenuation of the physiologic nocturnal blood pressure dip (35).

Thus, even if no correlations were found between the two IGF2 SNPs analyzed and BMI in our obese subjects, the differences between our and previous studies may be ascribed to the different ages of the studied cohorts, our study population being composed of children and adolescents. In other words, an age-dependent effect of IGF2 polymorphisms on body weight may be hypothesized, confirming previous data about other examples of gene variants influencing obese phenotype (31,36).

In conclusion, we demonstrated an association between 6815 A/T IGF2 gene variant and blood pressure in obese children and adolescents. Because primary hypertension has become increasingly common in association with obesity, and because isolated systolic hypertension has proved to be a major risk factor for cardiovascular morbidity and mortality in adults, further investigation of the causes and interventions for this pattern in obese children is clearly needed.