help button home button Endocrine Society JCEM
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS

Journal of Clinical Endocrinology & Metabolism , doi:10.1210/jc.2007-1822
This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Submit a related Letter to the Editor
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow Request Copyright Permission
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Le Stunff, C.
Right arrow Articles by Bougnères, P.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Le Stunff, C.
Right arrow Articles by Bougnères, P.
Right arrowPubmed/NCBI databases
*Gene*GEO Profiles
*HomoloGene*OMIM
*SNP*UniGene
*Compound via MeSH
*Substance via MeSH
Related Collections
Right arrow Pediatric Endocrinology
Right arrow Diabetes and Insulin
Right arrow Metabolism
Right arrow Obesity
The Journal of Clinical Endocrinology & Metabolism Vol. 93, No. 1 212-215
Copyright © 2008 by The Endocrine Society

A Single-Nucleotide Polymorphism in the p110β Gene Promoter Is Associated with Partial Protection from Insulin Resistance in Severely Obese Adolescents

Catherine Le Stunff, Agnès Dechartres, Emanuele Miraglia Del Giudice, Philippe Froguel and Pierre Bougnères

Department of Pediatric Endocrinology (C.L.S., P.B.), Pôle d’Endocrinologie Enfants-Adultes Cochin-St. Vincent de Paul, APHP, Hôpital Saint Vincent de Paul, Paris V University, and Institut National de la Santé et de la Recherche Médicale U561 (C.L.S., P.B.), Hôpital Saint Vincent de Paul, 75014 Paris, France; Service de Biostatistique et d’Information Médicale (A.D.), Hôpital Necker, 75015 Paris, France; Department of Pediatrics (E.M.D.G.), Second University of Naples, 80138 Naples, Italy; and Centre National de la Recherche Scientifique UMR8090 (P.F.), Pasteur Institute, 59021 Lille, France

Address all correspondence and requests for reprints to: Pierre Bougnères, Pediatric Endocrinology, Hôpital Saint Vincent de Paul, 82 Avenue Denfert Rochereau, 75014 Paris, France. E-mail: pierre.bougneres{at}wanadoo.fr.


    Abstract
 Top
 Abstract
 Introduction
 Patients and Methods
 Results
 Discussion
 References
 
Objective: Severe juvenile obesity causes metabolic and cardiovascular complications in adulthood. The catalytic p110β subunit of phosphatidyl-inositol-3 kinase is a major effector of insulin action. We studied the p110β gene as a candidate gene for association with insulin resistance (IR) and fasting glycemia in severely obese children.

Methods: We conducted an association study in 580 severely obese European children (body mass index > 99.6th centile) and 606 nonobese control children, in whom glucose and insulin were measured in the fasting state. The homeostasis model assessment insulin resistance index was used to estimate IR.

Results: We found that a single-nucleotide polymorphism (rs361072) located in the promoter of the p110β gene was associated with fasting glucose (P = 0.0002), insulin (P = 2.6 10–8), and homeostasis model assessment insulin resistance index (P =1 10–9) in the severely obese children. The effect of rs361072 was marginal or not significant in nonobese children.

Conclusions: The C allele of rs361072 attenuates IR in superobese children.


    Introduction
 Top
 Abstract
 Introduction
 Patients and Methods
 Results
 Discussion
 References
 
The prevalence of childhood obesity is increasing worldwide, as is the prevalence of obesity-related comorbidity. Whereas severe juvenile obesity is often associated as a whole with insulin resistance (IR), wide individual variations in insulin sensitivity are noted in obese children (1, 2, 3). Altered glucose metabolism in obese youth is associated with defects in insulin sensitivity and insulin secretion. Peripheral IR in obese youth is an early phenomenon, strongly associated with a typical pattern of lipid partitioning. Lipid deposition in muscle and the visceral compartment, and not only adiposity per se, is related to increased peripheral IR (4).

IR is influenced by not only the degree of obesity but also ethnic and genetic factors. To search for these genetic factors, we focused on the initial steps of insulin signaling. Class IA phosphatidyl-inositol-3 kinase (PI3K) is a crucial effector of insulin action (5), and signaling through the PI3K pathway depends on a critical balance between catalytic p110 and regulatory p85 subunits (6). Individual variations in the degree of IR could thus be associated with variations in the content or function of p110{alpha} or p110β, the catalytic subunits expressed in insulin target tissues (7). We studied the association of a common p110β single-nucleotide polymorphism (SNP) (8) with IR, reflected by the homeostasis model assessment insulin resistance index (HOMA-IR) index, in a cohort of white superobese children of European ancestry. Our objective was to test genetic factors that can be predictors of IR in adolescents with severe obesity. To avoid the effects of treatments and hypocaloric diets on insulin-glucose homeostasis, we selected patients who have never received drugs, and whose obesity course was unabated since its onset in early ages.


    Patients and Methods
 Top
 Abstract
 Introduction
 Patients and Methods
 Results
 Discussion
 References
 
Studied cohorts

We enrolled only white Caucasian patients with all grandparents born in Europe and/or Mediterranean countries and having no known African or Asian ancestor. To match the natural history of IR in severe juvenile obesity, our study was performed during the dynamic phase of obesity, before patients were submitted to weight reduction attempts. Inclusion criteria were severe obesity defined as a body mass index (BMI) greater than the 99.6th centile, European ancestry, a BMI greater than the 85th centile before age 6 yr. Studies were approved by institutional ethics committees, and written informed consent was obtained from the parents and oral consent from the children. No subject had diabetes, all were considered healthy at the time of study, and none was taking any medication. Two hundred ninety-nine adolescents with severe obesity came from the SUPEROBGEN cohort, a hospital-based cohort recruited between 1996 and 2003 (9). The LILLE obese children cohort included 104 severely obese children from northern France (10). The NAPOLI obese children cohort included 177 superobese children recruited between 1999 and 2006 (11). We were careful that none of the studied obese or nonobese subjects were from the same siblingship, the same family, or even related families. Children belonging to isolated communities having a high level of consanguinity like French gypsies or Basques were excluded from the study as well as seven severely obese children with mutations of the MC4R gene (12).

The LEANGEN cohort of 606 nonobese European children was recruited from 1986 to 2007 among the investigators’, colleagues’, nurses’, and friends’ families as well as among patients hospitalized for reasons not interfering with insulin and glucose homeostasis (benign surgery, evaluation of familial mild short stature, or isolated cryptorchidism) (13), totaling 666 nonobese healthy children in whom fasting glucose and insulin measurements were available as well as DNA samples. Body weight had to be within 90–110% of ideal body weight for age. Among these 666, 51 children had missing or obviously erroneous phenotypic data or were too young and were excluded from analysis and nine samples could not be genotyped; thus, 606 children were genotyped and included in the study. In all of them, sexual maturation was consistent with chronological age, and physical examination was normal except for the aforementioned abnormalities. Subjects with a familial history of diabetes or abnormally high birth weights were excluded. Sexual maturation at puberty was staged according to Tanner (14).

Experimental procedures for clinical studies

All children had been gaining weight the 6 months preceding the study to ensure that sampled insulin values truly reflected the natural history of IR (9). These data were not available; thus, continuous weight gain was assumed by interviews in the NAPOLI and LILLE cohorts. During the 3 d preceding insulin measurements, children were asked to keep their usual feeding habits. Parents or nurses checked the diet, and children with insufficient intake were excluded. Children fasted 12 h overnight, from the end of dinner (2000 h) to time 0 of the test (0800 h).

Insulin and glucose measurements

Plasma glucose was determined with a glucose analyzer (Beckman glucose analyzer, Beckman Coulter, Fullerton, CA) and serum insulin by time-resolved fluoroimmunoassay using Wallac Delfia reagents (PerkinElmer SAS, Courtaboeuf, France). For insulin, the intra- and interassay coefficients of variation at the level of 10 µU/ml were 4.1 and 5.0%, respectively, at the level of 27.5 µU/ml 3.8 and 5.1%, and at the level of 65 µU/ml 3.7 and 4.9%. The detection limit was 0.5 µU/ml. The cross-reactivity of C-peptide was 0.01%, that of proinsulin 0.1%. Duplicate insulin measurements on following days in 100 children showed a 3–7% intraindividual coefficient of variation. Insulin measurements were performed in the same laboratory for the SUPEROBGEN and LEANGEN cohorts (9) and standardized by exchanging samples blindly with the LILLE and NAPOLI centers.

HOMA-IR index

IR was quantified in the studied children using the HOMA-IR index (15) calculated as the product of fasting plasma insulin (in microunits per milliliter) and fasting plasma glucose (in millimoles per liter), divided by 22.5. Higher HOMA values indicate higher IR. This index does not have the quality of the gold standard euglycemic clamp procedure to evaluate insulin sensitivity. It is, however, the only one that we could apply to the hundreds of studied children, including the nonobese controls, for both ethical and practicality reasons. As many authors (1, 2, 3, 16, 17, 18), we used the HOMA index to estimate IR because it is the only validated index than can be used in large cohorts of children.

Genotyping

Genomic DNA samples were prepared from peripheral blood using DNA extraction kit PureGene (Gentra, Minneapolis, MN) or by using a standard phenol/chloroform method. In the 374-kb region neighboring rs361072, we selected 11 SNPs with minor allele frequencies greater than 0.10 and tested them for association with IR. Two other SNPS, rs361080 in intron 10 of p110β and rs600590 in intron 5 of FAIM, were in near complete linkage disequilibrium with rs361072 and thus associated with HOMA-IR (P = 1.3 10–6 and 5 10–5). We were not able to assign any potential function to these SNPS, which together with rs361072 formed a haplotype block associated with HOMA-IR to the same extent as rs361072. Following these observations, our study focused on rs361072. The PCR for rs361072 was carried out in a volume of 50 µl containing 200 ng genomic DNA, 1 µM of each primer (forward, 5'-CCTGTCAAGTGCTGGTTAACTA-3' and reverse, 5'-CAATCCATACCACCAACTAAAG-3'), 0.2 mmol/liter of each deoxynucleotide triphosphate, 1.5 mM MgCl2, and 1.25 U Taq polymerase Fast Start (Roche, Stockholm, Sweden). Allele positivity (presence of a T at position –359) and allele negativity (a C in the same position) were identified through the AATATT sequence recognized by Ssp1. Eight internal controls were systematically introduced into each 96-well plate. These internal controls were made of samples that were previously genotyped. We genotyped a total of 1303 DNA samples including 96 internal controls and 21 samples that had to be rerun for uncertain results. The average error rate estimated by internal duplicates was less than 0.6% (one error among 168 duplicates). Allele frequency was in Hardy-Weinberg equilibrium in the superobese and nonobese cohorts.

Statistical analyses

All values are expressed as means ± SE. Variables that were not normally distributed (BMI, fasting glucose, and insulin, HOMA-IR index) were log transformed for ANOVA between the genotypic groups. However, for clarity of interpretation, results are expressed in the table as untransformed values. All P values were two sided, and P < 0.05 was considered significant. Data analyses involved use of R statistical software.


    Results
 Top
 Abstract
 Introduction
 Patients and Methods
 Results
 Discussion
 References
 
The distribution of rs361072 genotypes was comparable in superobese and nonobese cohorts, suggesting that rs361072 does not play a primary role in the susceptibility to severe juvenile obesity of early onset.

In the superobese children, we found that the –359 C/T SNP (rs361072) was strongly associated (1.10–6) with HOMA-IR (Table 1Go). HOMA-IR was 40% lower in the C/C, compared with T/T superobese children. The intermediate HOMA values in C/T obese children supported an additive effect of the C allele. Significant differences were observed in fasting glucose and insulin, which were both lower in C/C patients (Table 1Go).


View this table:
[in this window]
[in a new window]

 
TABLE 1. Main characteristics of the 580 studied adolescents with severe obesity (>99.6th centile) of early onset and the LEANGEN cohort of nonobese European children

 
In the nonobese children, rs361072 showed marginal association with fasting glycemia (P = 0.05), and a nonsignificant association with fasting insulin (P = 0.24) and HOMA-IR (P = 0.14) (Table 1Go).

In the studied cohorts, age, puberty, and gender showed no significant effect on HOMA-IR variation in superobese (P > 0.50) or nonobese children (P = 0.16 for age, P = 0.14 for puberty).


    Discussion
 Top
 Abstract
 Introduction
 Patients and Methods
 Results
 Discussion
 References
 
The catalytic p110β subunit of PI3K is a major effector of insulin action (5). According to public database information and our own studies (not shown), the p110β gene bears no common coding or intronic SNPs that can affect the structure of the p110β subunit. We elected to study rs361072 as a candidate SNP for association with severe obesity because it is very common in people of European ancestry and is located within the p110β gene promoter. In addition, we found that the C allele of rs361072 creates a potential binding motif for the GATA family of transcription factors (20).

Intramyocellular and intraabdominal lipid accumulation are associated with the development of IR in juvenile obesity (4). Our hypothesis is that p110β being a major effector of insulin action on adipocytes (5, 6, 7, 19), the p110β promoter variant could possibly affect adipose tissue development and partition between visceral and sc fat depots (4, 18) and hence modify IR in the liver and muscle as reflected by the HOMA-IR (21).

We found that the effect of rs361072 was present and of significant magnitude in severely obese adolescents. Although studied C/C children were slightly older and with a more advanced pubertal stage, they showed a clear tendency to have lower fasting glucose and insulin concentration and lower HOMA-IR. Obese adolescents have a narrow range of fasting glycemia, and thus, the magnitude of the effect of rs361072, although statistically detectable, was very small. Effects were minimal or absent in nonobese children, as previously reported in nonobese adults (8), which we interpreted as a strong dependence of the rs361072 association with IR on fat accumulation and mechanisms related to adipose tissue development and metabolism (4).

The found effects of rs361072 support that genetic markers could help identify superobese adolescents who are at greatest risk of developing IR and for whom more aggressive weight control is warranted (22, 23). Before being considered valid, however, the present association needs replication in further cohorts and different populations (24). It will also be interesting to test the effects of rs361072 on IR in superobese adults and evaluate its influence on IR complications in this rapidly expanding part of the population.


    Footnotes
 
This work was supported by Agence Nationale des Refusés 2005 and a NovoNordisk France grant.

Disclosure Statement: The authors have nothing to declare.

First Published Online October 30, 2007

Abbreviations: BMI, Body mass index; HOMA-IR, homeostasis model assessment insulin resistance index; IR, insulin resistance; PI3K, phosphatidyl-inositol-3 kinase; SNP, single-nucleotide polymorphism.

Received August 14, 2007.

Accepted October 22, 2007.


    References
 Top
 Abstract
 Introduction
 Patients 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. Weiss R, Dziura J, Burgert TS, Tamborlane WV, Taksali SE, Yeckel CW, Allen K, Lopes M, Savoye M, Morrison J, Sherwin RS, Caprio S 2004 Obesity and the metabolic syndrome in children and adolescents. N Engl J Med 350:2362–2374[Abstract/Free Full Text]
  3. Bacha F, Saad R, Gungor N, Arslanian SA 2006 Are obesity-related metabolic risk factors modulated by the degree of insulin resistance in adolescents? Diabetes Care 29:1599–1604[Abstract/Free Full Text]
  4. Weiss R, Dufour S, Taksali SE, Tamborlane WV, Petersen KF, Bonadonna RC, Boselli L, Barbetta G, Allen K, Rife F, Savoye M, Dziura J, Sherwin R, Shulman GI, Caprio S 2003 Prediabetes in obese youth: a syndrome of impaired glucose tolerance, severe insulin resistance, and altered myocellular and abdominal fat partitioning. Lancet 362:951–957[CrossRef][Medline]
  5. Katso R, Okkenhaug K, Ahmadi K, White S, Timms J, Waterfield MD 2001 Cellular function of phosphoinositide 3-kinases: implications for development, homeostasis, and cancer. Annu Rev Cell Dev Biol 17:615–675[CrossRef][Medline]
  6. Ueki K, Fruman DA, Brachmann SM, Tseng YH, Cantley LC, Kahn CR 2002 Molecular balance between the regulatory and catalytic subunits of phosphoinositide 3-kinase regulates cell signaling and survival. Mol Cell Biol 22:965–977[Abstract/Free Full Text]
  7. Hooshmand-Rad R, Hajkova L, Klint P, Karlsson R, Vanhaesebroeck B, Claesson-Welsh L, Heldin CH 2000 The PI 3-kinase isoforms p110({alpha}) and p110(β) have differential roles in PDGF- and insulin-mediated signaling. J Cell Sci 113(Pt 2):207–214
  8. Kossila M, Pihlajamaki J, Karkkainen P, Miettinen R, Kekalainen P, Vauhkonen I, Yla-Herttuala S, Laakso M 2003 Promoter polymorphisms –359T/C and –303A/G of the catalytic subunit p110β gene of human phosphatidylinositol 3-kinase are not associated with insulin secretion or insulin sensitivity in Finnish subjects. Diabetes Care 26:179–182[Abstract/Free Full Text]
  9. Le Stunff C, Fallin D, Schork NJ, Bougneres P 2000 The insulin gene VNTR is associated with fasting insulin levels and development of juvenile obesity. Nat Genet 26:444–446[CrossRef][Medline]
  10. Dina C, Meyre D, Samson C, Tichet J, Marre M, Jouret B, Charles MA, Balkau B, Froguel P 2007 A common genetic variant is associated with adult and childhood obesity. Science 315:187; author reply 187
  11. Santoro N, Cirillo G, Amato A, Luongo C, Raimondo P, D’Aniello A, Perrone L, Miraglia del Giudice E 2006 Insulin gene variable number of tandem repeats (INS VNTR) genotype and metabolic syndrome in childhood obesity. J Clin Endocrinol Metab 91:4641–4644[Abstract/Free Full Text]
  12. Lubrano-Berthelier C, Le Stunff C, Bougneres P, Vaisse C 2004 A homozygous null mutation delineates the role of the melanocortin-4 receptor in humans. J Clin Endocrinol Metab 89:2028–2032[Abstract/Free Full Text]
  13. Carel JC, Boitard C, Bougneres PF 1993 Decreased insulin response to glucose in islet cell antibody-negative siblings of type 1 diabetic children. J Clin Invest 92:509–513[Medline]
  14. Tanner J 1962 Growth at adolescence. Oxford, UK: Blackwell Scientific
  15. Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC 1985 Homeostasis model assessment: insulin resistance and β-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 28:412–419[CrossRef][Medline]
  16. Yeckel CW, Weiss R, Dziura J, Taksali SE, Dufour S, Burgert TS, Tamborlane WV, Caprio S 2004 Validation of insulin sensitivity indices from oral glucose tolerance test parameters in obese children and adolescents. J Clin Endocrinol Metab 89:1096–1101[Abstract/Free Full Text]
  17. Conwell LS, Trost SG, Brown WJ, Batch JA 2004 Indexes of insulin resistance and secretion in obese children and adolescents: a validation study. Diabetes Care 27:314–319[Abstract/Free Full Text]
  18. Bacha F, Saad R, Gungor N, Janosky J, Arslanian SA 2003 Obesity, regional fat distribution, and syndrome X in obese black versus white adolescents: race differential in diabetogenic and atherogenic risk factors. J Clin Endocrinol Metab 88:2534–2540[Abstract/Free Full Text]
  19. Asano T, Kanda A, Katagiri H, Nawano M, Ogihara T, Inukai K, Anai M, Fukushima Y, Yazaki Y, Kikuchi M, Hooshmand-Rad R, Heldin CH, Oka Y, Funaki M 2000 p110β is up-regulated during differentiation of 3T3–L1 cells and contributes to the highly insulin-responsive glucose transport activity. J Biol Chem 275:17671–17676[Abstract/Free Full Text]
  20. Le Stunff C, Dechartes A, Mariot V, Lotton C, Trainor C, Miraglia Del Guidice E, Meyre D, Bieche I, Laurendeau I, Froguel P, Zelenika D, Fallin D, Lathrop M, Roméo PH, Bougnères P,Association analysis indicates that a variant GATA-binding site in the PIK3CB promoter is a cis-acting expression quantitative trait locus (eQTL) for this gene and attenuates insulin resistance (IR) in obese children. Diabetes, in press
  21. Abdul-Ghani MA, Tripathy D, DeFronzo RA 2006 Contributions of β-cell dysfunction and insulin resistance to the pathogenesis of impaired glucose tolerance and impaired fasting glucose. Diabetes Care 29:1130–1139[Abstract/Free Full Text]
  22. Barlow SE, Dietz WH 1998 Obesity evaluation and treatment: Expert Committee recommendations. The Maternal and Child Health Bureau, Health Resources and Services Administration and the Department of Health and Human Services. Pediatrics 102:E29
  23. Jones KL 2002 Why test the children? Understanding insulin resistance, its complications, and its progression. Diabetes Care 25:2350–2351[Free Full Text]
  24. Moonesinghe R, Khoury MJ, Janssens AC 2007 Most published research findings are false-but a little replication goes a long way. PLoS Med 4:e28




This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Submit a related Letter to the Editor
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow Request Copyright Permission
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Le Stunff, C.
Right arrow Articles by Bougnères, P.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Le Stunff, C.
Right arrow Articles by Bougnères, P.
Right arrowPubmed/NCBI databases
*Gene*GEO Profiles
*HomoloGene*OMIM
*SNP*UniGene
*Compound via MeSH
*Substance via MeSH
Related Collections
Right arrow Pediatric Endocrinology
Right arrow Diabetes and Insulin
Right arrow Metabolism
Right arrow Obesity


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Endocrinology Endocrine Reviews J. Clin. End. & Metab.
Molecular Endocrinology Recent Prog. Horm. Res. All Endocrine Journals