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The Journal of Clinical Endocrinology & Metabolism Vol. 89, No. 10 4846-4849
Copyright © 2004 by The Endocrine Society

An Insertional Polymorphism of the Proopiomelanocortin Gene Is Associated with Fasting Insulin Levels in Childhood Obesity

Nicola Santoro, Emanuele Miraglia del Giudice, Grazia Cirillo, Paolo Raimondo, Ivana Corsi, Alessandra Amato, Anna Grandone and Laura Perrone

Department of Pediatrics, Second University of Naples, 80138 Napoli, Italy

Address all correspondence and requests for reprints to: Emanuele Miraglia del Giudice, Dipartimento di Pediatria, Seconda Università di Napoli, Via Luigi De Crecchio Number 2, 80138 Napoli, Italy. E-mail: emanuele.miraglia{at}unina2.it.


    Abstract
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
Lines of evidence show a role of the melanocortinergic system in the regulation of glucose metabolism in obese subjects. The aim of this study was to investigate the influence of proopiomelanocortin (POMC) in the variability of insulin levels in early-onset obesity. To address this issue, an association study using a 9-bp insertional polymorphism, AGC AGC GGC, between nucleotides 6979 and 6998 of the POMC gene, was performed in 380 (185 girls) Italian obese children and adolescents.

Allelic frequencies were comparable in our patients (0.053) and in 300 lean controls of Mediterranean descent (0.045). Interestingly, we showed that this polymorphism, in the obese patients, was associated with differences in fasting insulin levels; this finding persisted after correction for age, sex, and pubertal stage. Heterozygotes had 24% higher mean insulin levels than those homozygous for the wild allele and showed a stronger correlation between insulin and body mass index (P < 0.001).

These findings support the hypothesis that the melanocortin pathway may modulate glucose metabolism in obese subjects and suggest that this common POMC variant may be involved in the natural history of polygenic obesity in late adolescence and adulthood, contributing to the link between type 2 diabetes and obesity.


    Introduction
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
AN INCREASE IN CHILDHOOD obesity has been accompanied by an increase in the prevalence of insulin resistance and type 2 diabetes among children and adolescents (1). Studies on twins suggested a strong genetic component in the development of obesity and type 2 diabetes (2, 3). Major obesity genes are located on chromosomes 2, 10, 11, and 20 (4). Linkage studies identified a quantitative trait locus determining obesity-related traits in a region of chromosome 2 containing the proopiomelanocortin (POMC) gene (5, 6, 7, 8).

POMC is the precursor of a number of hormones and neuropeptides. It is cleaved tissue specifically to yield peptides with different functions, such as ACTH; {alpha}-, ß-, and {gamma}- MSH; ß-lipotropin; and ß-endorphin (9). {alpha}-MSH acts on feeding behavior by binding its receptor melanocortin-4 receptor (MC4R) in the hypothalamus (4, 10).

Recently, some authors have reported a high prevalence of MC4R gene variants in obese children and adolescents (11, 12). Clinical features of obese children carrying MC4R mutations have been carefully described (12). These patients, although euglycemic, show significantly elevated plasma insulin concentrations compared with those observed in matched obese subjects carrying the MC4R wild type (12).

To examine the contribution of the POMC gene in the variability of serum insulin levels in obese children, we carried out an association study using a previously described polymorphism consisting of a 9-bp insertion, AGC AGC GGC, between nucleotides 6979 and 6998 (13, 14). This leads to the insertion of three amino acids (Ser-Ser-Gly) between codons 94 and 100 in the region of the 16-kDa fragment carboxy terminal to {gamma}-MSH (Fig. 1Go).



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FIG. 1. The polymorphism consisting of the 9-bp insertion, AGC AGC GGC, between nucleotides 6997 and 6998 leads to the insertion of three amino acids (Ser-Ser-Gly) between codons 99 and 100 in the region of the 16-kDa fragment carboxy terminal to {gamma}-MSH. The arrow indicates the placement of the polymorphism.

 

    Subjects and Methods
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
We studied 380 (185 girls) unrelated obese Italian children and adolescents (mean age, 10.7 ± 3.1 yr; range, 2–16 yr) consecutively referred to the Department of Pediatrics of the Second University of Naples (Napoli, Italy) from January 1998 to June 2001 for a weight reduction program. Mean z-score relative to body mass index (BMI; calculated as weight in kilograms divided by the square of height in meters) percentiles (15) was 3.9 ± 1.8 (range, 2.1–8.8). Pubertal status according to Tanner was assessed. Three hundred (150 females) unrelated nonobese children who were age and sex matched and belonged to the same geographic area were recruited as controls (mean age, 10.4 ± 2.8 yr; mean BMI z-score, 0.3 ± 0.4). They consulted the Department of Pediatrics of the Second University of Naples for presumed diseases and were found to be normal. Informed consent from parents and assent from children were obtained before participation in the study. The ethical committee of Second University of Study of Naples approved the study. A blood sample was drawn from each patient after an overnight fast. The serum was frozen at –10 C until analyzed. Immunoreactive insulin was assayed by IMX (Abbott Diagnostics, Santa Clara, CA). The mean intra- and interassay coefficients of variation were 4.7 and 7.2%, respectively. Plasma glucose levels were measured with the glucose oxidase method on the samples used to measure fasting insulin levels. Insulin resistance was assessed using the insulin resistance homeostasis model of assessment (IR-HOMA) as follows: fasting insulin (picomoles per liter) x fasting glucose (millimoles per liter)/135. According to American Diabetes Association guidelines, one patient with fasting glucose levels higher than 126 mg/dl was considered affected by type 2 diabetes and was therefore excluded from the study.

Genomic DNA was collected from nucleated white blood cells. Screening for the 9-bp insertional variant, 94-AGC AGC GGC-100, between nucleotides 6979 and 6998 of the POMC gene was performed by PCR amplification. A couple of primers, POMC-F (5'-CGAGAACCCCCGGAAGTACG-3') and POMC-R (5'-ACGTCCTCGCGCTTCTGCCC-3'), were used to amplify a 108-bp fragment (wild allele). Amplification of the mutated allele, on the contrary, produced a 117-bp fragment. PCRs were carried out using the following conditions: denaturation at 95 C for 5 min followed by 35 cycles of 30 sec at 94 C, 30 sec at 60 C, and 30 sec at 72 C. The amplified segments were analyzed on a 3% NouSieve (FMC BioProducts, Rockland, ME) agarose gel and stained with ethidium bromide (Fig. 2Go). In a few cases, to test the effectiveness of the separation with gel, PCR products were also sequenced with an automatic sequencer (ABI PRISM 310, Applied Biosystems, Foster City, CA) (Fig. 2Go).



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FIG. 2. A, Agarose gel electrophoresis of the PCR products from two patients (lanes 1 and 3) homozygous for the POMC wild allele (fragment of 108 bp) and from two patients (lanes 2 and 4) heterozygous for the mutated allele (two fragments of 108 and 117 bp). B, Partial double-stranded sequencing and deduced amino acid sequences of lanes 1 (upper sequence) and 2 (lower sequence) PCR products. The arrow indicates the position of the insertion. The bases inserted and the relative amino acids are underlined.

 
ANOVA was used to assess differences in plasma insulin levels between the two genotype subgroups; age, sex, and pubertal age were used as covariates. Insulin values were log transformed to improve normality, but geometric means are presented. The relationship between insulin and BMI was studied by Pearson’s product-moment correlation. Values are given as the mean ± SD.


    Results
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
Allelic frequencies of the variant characterized by 9-bp insertion were comparable in our patients (0.053, i.e. 40 heterozygotes of 380 patients) and in 300 (140 girls) lean controls (0.045, i.e. 27 heterozygotes of 300 subjects). In agreement with previously published observations (13, 14, 15), this suggests that this polymorphism is not primarily related to early onset obesity.

BMI z-scores of the heterozygote patients for the insertional polymorphism and of the homozygotes for the wild allele were comparable (Table 1Go). No differences were observed concerning the distribution of sex (i.e. 19 girls of 40 patients and 166 girls of 340 patients in heterozygotes and wild-type homozygotes, respectively) and Tanner puberty stages between the two groups (data not shown).


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TABLE 1. Characteristics of the studied genotype subgroups

 
Interestingly, we showed that this polymorphism was associated with differences in fasting insulin levels. Heterozygotes had 24% higher mean insulin levels than those homozygous for the wild allele, whereas plasma glucose levels were comparable (Table 1Go). The same finding was observed for IR-HOMA; heterozygotes showed 21% higher mean IR-HOMA values than wild-type homozygotes (Table 1Go). These differences persisted also when age, sex, and pubertal stage were used as covariates (F = 6.9; P = 0.01). The same finding was not observed in a subgroup of 150 of 300 controls (13 heterozygotes and 137 wild-type homozygotes). Insulin levels were not different between heterozygotes and wild-type homozygotes (26.5 ± 13.6 vs. 28 ± 15.8 pmol/l; F = 0.1; P = 0.7).

In the entire group of patients, as expected, BMI and insulin were correlated (r = 0.49; P < 0.001). However, the degree of hyperinsulinemia for a comparable BMI varied among patients, indicating that individual factors other than fatness might influence insulin levels. In fact, heterozygous children for the POMC 9-bp insertional polymorphism showed a stronger correlation between insulin and BMI than homozygotes for the wild allele (Fig. 3Go).



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FIG. 3. Genotypic variations in the relationship between fasting insulin levels and BMI z-scores in obese children and adolescents. A, Patients homozygous for the POMC wild allele (n = 340). B, Patients heterozygous for the POMC insertional polymorphism (n = 40).

 
A significant F ratio indicates that the slopes differ beyond chance between the groups (F ratio, 16.41; P < 0.001). Therefore, a significantly stronger influence on the increase in fasting insulin levels secondary to overweight has been demonstrated among heterozygotes for the 9-bp insertional polymorphism compared with homozygotes for the POMC wild allele.


    Discussion
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
Growing evidence suggests that the central nervous system plays a key role in glucose homeostasis via brain pathways that overlap with those controlling food intake and body weight (16).

Many findings suggest that the central melanocortin system may be independently involved in the regulation of glucose homeostasis in addition to its regulation of energy intake and energy expenditure. Hyperinsulinemia and impaired glucose tolerance are the earliest metabolic alterations observed in murine melanocortin obesity models (MC4R knockout mice), appearing before the onset of hyperphagia or obesity (17). Furthermore, centrally administered melatonin II, a MC4-R/MC3-R agonist, produces a dose-dependent inhibitory effect on basal plasma insulin levels in lean control mice, and phentolamine, a nonspecific {alpha}-adrenoreceptor antagonist, blocks the ability of centrally administered melanocortin to lower serum insulin in ob/ob mice (17). These experimental evidences suggest that melanocortin modulates insulin secretion by stimulating the sympathetic drive to the pancreas known to inhibit insulin release. Furthermore, a potent effect of melanocortinergic pathway on insulin-mediated glucose uptake and production has been demonstrated in the rat (18). In humans, it has been observed that subjects carrying mutations of the MC4R gene responsible for a loss or a reduction of function show higher plasma insulin levels than subjects carrying the wild allele (12).

Our findings, showing an influence of a POMC insertional polymorphism both on fasting insulin level and on insulin resistance evaluated by IR-HOMA, support the hypothesis for an involvement of the melanocortinergic system in the regulation of glucose metabolism in humans. One could hypothesize that obese children and adolescents carrying the POMC 9-bp insertion might experience both an increase of insulin secretion and a reduced insulin sensitivity.

No difference concerning fasting insulin levels between wild-type homozygous and heterozygous normal controls has been detected. This finding could be explained by the fact that the effect of POMC polymorphism on insulin levels may be noticed only when, as usually happens in obese children, an increasing insulin production in response to fat accumulation is required. Recently, Feng et al. (19) analyzed the association between the 9-bp insertion of the POMC gene and insulin levels in a multiracial cohort of obese children. The authors did not show a statistically significant difference concerning fasting insulin levels between wild-type homozygotes and obese subjects carrying the POMC variant. The discrepancy between our data and those of Feng et al. is likely due to a lower BMI in the patients of Feng et al. who were heterozygous for the 9-bp POMC variant compared with heterozygous patients reported in the present study (BMI SD score, 2.8 vs. 3.6).

This variant might produce a slight reduction of the gene function because of linkage with a mutation undetected until now in the POMC regulating region, but a direct action of the polymorphism cannot be excluded. In fact, a naturally deleted form of human POMC, characterized by three amino acid deletions (Ser-Ser-Gly) between residues 94–100, has been shown (20). The levels of expression of this variant were 5-fold decreased, suggesting that the integrity of this portion of the POMC 16-kDa fragment could play a primary role in POMC expression and/or secretion (20). This may be due to mRNA instability. Alternatively, the occurrence of two different POMC alleles in heterozygotes means that in these patients heterodimers of POMC occur, whereas homodimers occur in homozygotes (21). Therefore, heterozygotes may show defects in processing due to the structural configuration of the two subunits being different (20); for example, dibasic sites may show altered accessibility, resulting in less efficient cleavage.

We propose that, in the Italian population, the POMC variant characterized by the insertion of three amino acids (Ser-Ser-Gly) between codons 94 and 100, inducing variation of fasting insulin levels, may be involved in the natural history of polygenic obesity in late adolescence and adulthood, contributing to the link between type 2 diabetes and obesity.


    Footnotes
 
Abbreviations: BMI, Body mass index; IR-HOMA, insulin resistance homeostasis model of assessment; MC4R, melanocortin-4 receptor; POMC, proopiomelanocortin.

Received February 25, 2004.

Accepted July 15, 2004.


    References
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 

  1. Sinha R, Fisch G, Teague B, Tamborlane WV, Banyas B, Allen K, Savoye M, Rieger V, Taksali S, Barbetta G, Sherwin RS, Caprio S 2002 Prevalence of impaired glucose tolerance among children and adolescents with marked obesity. N Engl J Med 346:802–810[Abstract/Free Full Text]
  2. Medici F, Hawa M, Ianari A, Pyke DA, Leslie RD 1999 Concordance rate for type II diabetes mellitus in monozygotic twins: actuarial analysis. Diabetologia 42:146–150[CrossRef][Medline]
  3. Stunkard AJ, Harris JR Pedersen NL, McClearen GE 1990 The body mass index of twins who have been reared apart. N Engl J Med 322:1438–1487
  4. Barsh GS, Farooqi IS, O’Rahilly S 2000 Genetics of body-weight regulation. Nature 404:644–651[Medline]
  5. Comuzzie AG, Hixson JE, Almasy L, Mitchell BD, Mahaney MC, Dyer TD, Stern MP, Maccluer JW, Blangero J 1997 A major quantitative trait locus determining serum leptin levels and fat mass is located on human chromosome 2. Nat Genet 15:273–276[CrossRef][Medline]
  6. Hager J, Dina C, Francke S, Dubois S, Houari M, Vatin V, Vaillant E, Lorentz N, Basdevant A, Clement K, Guy-Grand B, Froguel P 1998 A genome-wide scan for human obesity genes reveals a major susceptibility locus on chromosome 10. Nat Genet 20:304–308[CrossRef][Medline]
  7. Rotimi CN, Comuzzie AG, Lowe WL, Like A, Blangero J, Cooper RS 1999 The quantitative trait locus on chromosome 2 for serum leptin levels is confirmed in African-Americans. Diabetes 48:643–644[Medline]
  8. Hixson JE, Almasy L, Cole S, Birnbaum S, Mitchell BD, Mahaney MC, Stern MP, MacCluer JW, Banglero J, Comuzzie AG 1999 Normal variation in leptin levels is associated with polymorphisms in the proopiomelanocortin gene, POMC. J Clin Endocrinol Metab 84:3187–3191[Abstract/Free Full Text]
  9. Pritchard LE, Turnbull AV, White A 2002 Pro-opimelanocortin processing in the hypothalamus: impact on melanocortin signalling and obesity. J Endocrinol 172:411–421[Abstract]
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  14. Miraglia del Giudice E, Cirillo G, Santoro N, D’Urso L, Carbone MT, Di Toro R, Perrone L 2001 Molecular screening of the proopiomelanocortin (POMC) gene in Italian obese children: report of three new mutations. Int J Obes 25:61–65
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