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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptNIH Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
 
J Pediatr. Author manuscript; available in PMC Aug 17, 2006.
Published in final edited form as:
PMCID: PMC1550350
NIHMSID: NIHMS10647
INSULIN DYNAMICS PREDICT BODY MASS INDEX AND Z-SCORE RESPONSE TO INSULIN SUPPRESSION OR SENSITIZATION PHARMACOTHERAPY IN OBESE CHILDREN
Robert H. Lustig, MD, Michele L. Mietus-Snyder, MD, Peter Bacchetti, PhD, Ann A. Lazar, MS, Pedro A. Velasquez-Mieyer, MD, and Michael L. Christensen, PharmD
From the Departments of Pediatrics and Epidemiology and Biostatistics, University of California, San Francisco, and Pediatrics, University of Tennessee Health Science Center, Memphis. Presented in part at the North American Association for the Study of Obesity, Las Vegas, NV, November 2004.
Reprint requests: Robert H. Lustig, MD, Division of Pediatric Endocrinology, University of California San Francisco, Box 0434, 513 Parnassus Ave, San Francisco, CA 94143-0434. E-mail: rlustig/at/peds.ucsf.edu.
Objective
To assess the use of oral glucose tolerance testing (OGTT) to predict efficacy of insulin sensitization (metformin) or suppression (octreotide) because insulin resistance and insulin hypersecretion may impact pharmacotherapeutic efficacy in obese children.
Study design
Forty-three and 24 obese children, with and without central nervous system (CNS) insult, underwent OGTT. Insulin sensitivity was expressed as composite insulin sensitivity index (CISI), and secretion as corrected insulin response (CIRgp). Those without CNS insult received metformin (weight-based dosing) for 6 to 16 months. Those with CNS insult received octreotide SQ 15 μg/kg/d for 6 months. Body mass index (BMI) and z-score responses were modeled using CIRgp and CISI.
Results
Metformin: With CIRgp and CISI = 1, BMI z-score in white children declined by 0.23 over the first 4 months (P < .001), and by 0.14 over the next year (P = .33). Each 2-fold increase in CIRgp or CISI attenuated BMI z-score reduction, but with wide uncertainty (P = .24). Black children exhibited little response. Octreotide: With CIRgp and CISI = 1, BMI z-score decreased by 0.23 in the first 4 months (P = .052). Efficacy was dependent on an interaction between CIRgp and CISI (P = .051).
Conclusions
Efficacy of metformin was predicted by pretreatment insulin resistance. Efficacy of octreotide was predicted by insulin hypersecretion and sensitivity.
Keywords: BMI Body mass index, CIRgp Corrected Insulin Response, CISI Composite Insulin Sensitivity Index, CNS Central nervous system, GLP-1 Glucagon-like peptide-1, OGTT Oral glucose tolerance testing, UCSF University of California San Francisco, U.T. University of Tennessee
Obesity is not one disease, but rather a phenotype of many different diseases.1,2 When targeted to the specific pathology, pharmacotherapy, such as leptin for leptin deficiency,3 can be effective. However, when therapy is not targeted, efficacy tends to be suboptimal.4 Indeed, pharmacotherapies for childhood obesity have been shown to possess variable inter-individual responsiveness.58 A corollary is that determining the causes of specific types of obesity may lead to effective therapies that target the specific causes. Such strategies must currently rely on the use of pretreatment “predictor variables.”
Insulin is an important factor in the genesis of childhood obesity. Most obese children have hyperinsulinemia.9 There are two forms of euglycemic hyperinsulinemia: (1) fasting hyperinsulinemia caused by defective hepatic and muscle insulin signal transduction, a manifestation of what is commonly called “insulin resistance”1012; and (2) glucose-stimulated hyperinsulinemia, also termed “insulin hypersecretion,” which occurs as a result of neural dysregulation of the β-cell as seen in subjects with hypothalamic obesity caused by central nervous system (CNS) insult.13,14 We have previously demonstrated in obese children that insulin secretion and insulin sensitivity are distinct phenomena and are predicted both by race and cause.15
The biguanide metformin, an insulin sensitizer, has been used to promote weight loss in obese adolescents.5,6,1619 The standard deviation of body mass index (BMI) and BMI z-score change in these studies, however, is equivalent to the magnitude of the response, indicating considerable variability in efficacy. Similarly, we have reported that the somatostatin analog octreotide suppresses insulin secretion and promotes BMI loss in patients with hypothalamic obesity20,21 but with variable efficacy. We postulated that the pretreatment insulin dynamics in these patients reflected the cause of their obesity and might be used as a predictor of weight response to pharmacotherapy. We therefore modeled the changes in BMI and BMI z-score in obese children receiving metformin or octreotide on the basis of their pretreatment insulin sensitivity and secretion.
Patients were subjects within 3 individual studies performed at the University of Tennessee (U.T.) General Clinical Research Center and the University of California San Francisco (UCSF) Pediatric Clinical Research Center. Institutional Review Board and Scientific Advisory Committee approvals were obtained at each site. For the metformin study, inclusion criteria were as follows age 2 to 18 years, BMI (defined as weight ÷ height2 [kg/m2]) above the 95th percentile for the BMI-for-age curve (Centers for Disease Control and Prevention, 1999), continued BMI gain for at least 3 months after outpatient exercise and nutritional counseling, and desire by the patient and parent to try adjunct pharmacotherapy. Exclusion criteria included voluntary weight maintenance or loss for the 3 months before initiation of pharmacotherapy, diabetes mellitus, kidney or liver disease (or significant elevation of liver enzymes greater than 3 times the upper limit of normal), history of CNS insult, antidepressant medication, or any glucocorticoid therapy. For the two octreotide studies reported previously,20,21 inclusion criteria were age 8 to 18 years, and intractable weight gain after CNS insult (surgery or cranial radiation for brain tumor or cranial radiation for acute lymphoblastic leukemia). Exclusion criteria included diabetes mellitus, kidney or liver disease, antidepressant medication, or receipt of supraphysiological doses of glucocorticoid therapy (greater than 11 mg/m2/d). Only 2 of 24 subjects were black, and exclusion of their data did not alter the analysis, so they are included for completeness. Sex (male/female) and pubertal status (prepubertal [Tanner I] or no sex hormone replacement/pubertal [Tanner II–V] or sex hormone replacement) were also documented.22,23
Informed consent was obtained from each subject and parent. Subjects were counseled to continue their routine caloric intake in the days before the oral glucose tolerance test (OGTT). Recruited subjects were admitted to either the U.T. GCRC or UCSF PCRC after an overnight fasted state. Subjects underwent a 3-hour OGTT.24 Each subject drank 1.75 gm/kg dextrose (maximum 75 gm), and blood samples for glucose and insulin were obtained at 0, 30, 60, 90, 120, and 180 minutes.25
Subjects without CNS insult (n = 45) received oral metformin on the basis of weight (30–50 kg, 500 mg 2 times daily; 50 to 70 kg, 500 in AM, to 1000 mg in PM; > 70 kg, 1000 mg 2 times daily), along with a daily multivitamin tablet to protect against lactic acidosis.26 Height and weight were monitored every 3 months, with a period of study that ranged from 6 to 16 months. Subjects with CNS insult (n = 24) received subcutaneous octreotide for 6 months on the basis of weight, with an escalating dose of 5 μg/kg/d divided 3 times daily for the first 2 months, 10 μg/kg/d divided 3 times daily for the second 2 months and 15 μg/kg/d for the final 2 months. Height and weight were monitored every 2 months.
Chemical Analyses
Plasma glucose concentrations were measured by the glucose oxidase method.27 Plasma insulin concentrations were measured by radioimmunoassay at each site. The interassay and intraassay coefficients of variation were 9.2% and 4.5%, and 8.4% and 4.3% at U.T. and UCSF, respectively.
Insulin Indexes
From the pretreatment OGTT, the following insulin indexes were obtained or computed:
Corrected Insulin Response at Glucose Peak (CIRgp),25 an indicator of β-cell activity: the higher the CIRgp, the greater the insulin secretion for the same glucose stimulus.
equation M1
Composite Insulin Sensitivity Index (CISI),28 a measure of insulin sensitivity obtained from the OGTT: the higher the CISI, the higher the insulin sensitivity.
equation M2
Statistical Analysis
There were 45 patients who received metformin. Of these, 43 were categorized by race as either white or black. There was one Asian and one Pacific Islander; these 2 patients were excluded from the final analysis. Of the 24 patients with CNS insult receiving octreotide, 22 were white. Although 2 subjects were black, their exclusion did not alter the results, so they are included for completeness.
The insulin indices CIRgp and CISI were both skewed, so they were transformed by logarithm base 2 for all analyses. BMI and BMI z-score in subjects receiving metformin or octreotide therapy were modeled over time using linear regression with random intercepts and slopes for each person.29 The effect of treatment was modeled as an initial rate of change over the first 4 months of treatment, followed by a different rate of change over the next 12 months for metformin; and up to 6 months for octreotide, after which treatment was discontinued per protocol. Pretreatment CIRgp and CISI, race, sex, and pubertal status were assessed to determine if they modified the estimated rates of change. Because the effects of several predictors appeared to differ by race for metformin treatment, separate models of white children and black children are presented. Graphical assessment of residuals did not show any overly-influential points that would invalidate the models.
Demographics, anthropometrics, and baseline insulin dynamics of the patients who received metformin or octreotide are listed in Table I. As denoted previously, black children exhibited higher CIRgp and lower CISI than did white children, despite similar BMIs and BMI z-scores.15
Table I
Table I
Demographics, anthropometrics, and insulin dynamics of subjects treated with metformin or octreotide (±SD)
Metformin
Multiple linear regression modeling for white children (n = 26) is shown in Table IIA and andB.B. We found a diphasic response curve, which altered its trajectory at the month 4 time point; therefore the model includes separate estimates of predictors’ effects for the first 4 months, and the next 12 months. For a pubertal white female with a CIRgp of 1.0 and a CISI of 1.0, the average BMI and z-score change was − 2.7 kg/m2 and − 0.23, respectively, over the first 4 months (P < .001). The rates of change then reduced to − 1.6 kg/m2/yr and − 0.14/yr for the next 12 months (P = .32, .33). Increasing insulin sensitivity (eg, doubling the CISI) mitigated the BMI response to metformin (P = .027), although its effect on BMI z-score was not as robust (P = .24). Results for doubling the CISI were similar for the less biologically rigorous outcomes of raw and percent change in weight: +0.6 kg (P = .023) and +0.9% (P = .009). Male sex attenuated metformin efficacy (P = .013). Prepubertal status accentuated metformin efficacy (P = .023).
Table II, A
Table II, A
Modeling of changes in BMI with metformin therapy in 26 white children
Table II, B
Table II, B
Modeling of changes in BMI z-score with metformin therapy in 26 white children
Multiple linear regression modeling in black children (n = 17) is shown in Table IIC and andD.D. There did not appear to be significant improvement in either BMI or BMI z-score in this population in the first 4 months or in the next year, although a higher CIRgp appeared to predict better response. This also held for raw and percent change in weight: − 0.7 kg (P = .032) and − 1.3% (P = .009) per doubling of CIRgp.
Table II, C
Table II, C
Modeling of changes in BMI with metformin therapy in 17 black children
Table II, D
Table II, D
Modeling of changes in BMI z-score with metformin therapy in 17 black children
Octreotide
Multiple linear regression modeling in obese children with CNS insult receiving octreotide for the first 4 months (n = 24) is shown in Table IIIA and andB.B. Estimates for rate of change in the succeeding 2 months were highly variable and are not reported. For a pubertal or sex hormone-supplemented female with a CIRgp of 1.0 and a CISI of 1.0, the rate of BMI and z-score decrements were 4.3 kg/m2 (P = .014) and 0.23 (P = .052), respectively, over 4 months. Interestingly, for every doubling of the CIRgp with CISI = 1.0, the change in BMI and BMI z-score was severely mitigated (P < .001 and .036, respectively); whereas for every doubling of the CISI with CIRgp = 1.0, mitigation was much less. Finally, there was a strong interaction between CIRgp and CISI in this analysis (BMI: P = .001; BMI z-score: P = .051), such that doublings of both CIRgp and CISI reduced the BMI and z-score response less than did a doubling of CIRgp alone with an unchanged CISI, suggesting greater efficacy of octreotide in subjects who were insulin hypersecretors but remained insulin sensitive. Sex and pubertal status did not appear to have meaningful effects on response to octreotide therapy, although there was some indication that males did not reduce BMI z-score as rapidly as females.
Table III, A
Table III, A
Modeling of changes in BMI with octreotide therapy in 24 patients with hypothalamic obesity
Table III, B
Table III, B
Modeling of changes in BMI z-score with octreotide therapy in 24 patients with hypothalamic obesity
Insulin promotes adipogenesis and weight gain through effects mediated directly at the adipocyte. Specifically, insulin up-regulates Glut4, acetyl-CoA carboxylase, fatty acid synthase, and lipoprotein lipase.30 Insulin resistance caused by hepatic/muscle dysfunction promotes reflex hyperinsulinemia and can promote the metabolic syndrome in children.31,32 Insulin hypersecretion caused by CNS/pancreatic dysfunction is less common and usually exists as an effector of “hypothalamic obesity” because of brain tumor or cranial radiation.33 We have previously shown that these two insulin disorders can be dissociated from each other by assessing the insulin response to OGTT and measuring insulin secretion with the CIRgp and insulin sensitivity with the CISI.15 We have also shown that insulin hypersecretion is the predominant insulin abnormality both in obese black children, and in children with hypothalamic obesity.15
Previous studies of pharmacotherapy in obese children have yielded considerable variability in efficacy. We postulated that insulin dynamics might offer a method for “triaging” patients to therapy on the basis of the cause of their obesity. Therefore we evaluated patients within clinical observational protocols who had received metformin for insulin resistance and octreotide for insulin hypersecretion. Although these studies are suboptimal because of their open-label nature, possible placebo effects, and inconsistent compliance, the ability of an a priori pretreatment metabolic parameter variable to distinguish the clinical response validates this approach. By using multiple linear regression analysis, we were able to determine which of the different predictor variables modified the efficacy of each medication. In addition to insulin dynamics, demographic variables such as age, sex, pubertal status, and initial BMI and z-score were also evaluated but were not as predictive.
Metformin improves insulin sensitivity, predictably decreases fasting hyperinsulinemia, and prevents the onset of type 2 diabetes mellitus34 but demonstrates variable efficacy in promoting weight loss in adults.17,35 The mechanism of action of metformin on body weight remains unclear. Although some postulate that metformin promotes weight loss though a primary anorectic effect,36 it is more likely that the decline in caloric intake observed with metformin is related to its reduction in insulin resistance through its enhancement of hepatic glucose turnover, reduction of hepatic glucose output37,38 and through its actions on hepatic AMP kinase.39 Another possible mechanism of metformin action is through central effects on glucagon-like peptide-1 (GLP-1),40 which would reduce food intake.
In white children, metformin was effective in promoting loss of BMI and BMI z-score, provided that the patient was insulin resistant (ie, a low CISI) but not an insulin hypersecretor. As the CISI increased, the effect of metformin was mitigated. Most of the response was achieved in the first 4 months of therapy, but a beneficial effect was observed for the next year as well. Interestingly, metformin had greater effect in females than in males. Our results suggest efficacy of metformin in prepubertal children with severe obesity caused by insulin resistance. Most practitioners have reserved metformin for treatment of adolescents only, because its current Food and Drug Administration indication in pediatric type 2 diabetes mellitus extends down to 10 years of age.
Octreotide binds to a somatostatin receptor on the β-cell membrane,41 which is coupled to a voltage-gated calcium channel, which limits its opening, thus attenuating insulin release.4244 Insulin suppression using octreotide has been shown to be effective in reducing BMI in children with hypothalamic obesity caused by CNS insult20,21; however, patients have demonstrated variable responsiveness. The results of this study demonstrate that both insulin hypersecretion and insulin sensitivity (as measured by CIRgp and CISI) are necessary to predict a beneficial BMI response to octreotide.
Studies by Bergman et al45 using intravenous glucose tolerance testing have suggested that insulin secretion is merely an epiphenomenon of insulin resistance, obeying a hyperbolic relationship known as the “disposition index.” However, the intravenous glucose tolerance testing does not take into account other stimuli to β-cell insulin release, such as vagal innervation46 and intestinal incretins such as GLP-1,47 which would only activate with an oral challenge. By performing OGTT, we have shown that insulin hypersecretion is a phenomenon that is separate and distinct from insulin resistance.15 This study also supports this contention, in that metformin’s efficacy on BMI reduction is predicted by insulin resistance, whereas octreotide’s efficacy is predicted by both insulin hypersecretion and insulin sensitivity.
With our data, an adjusted disposition index can be defined such that when logarithmically transformed, it would equal the sum of log(CIRgp) and log(CISI). This implies that it would work well in the models of Tables II and III when the coefficients shown for CIRgp and CISI are approximately equal and there is no interaction between the 2. This appears to be the case in Table IIB and andDD but is suspect for II, C, and clearly violated for II, A (because the coefficients differ) and III, A and B (because of the interaction between CIRgp and CISI).
One conundrum posed by these results is that despite marked insulin resistance (mean CISI of 1.6), black children did not respond to metformin with BMI or BMI z-score reduction.48 Other investigators have documented excessive insulin secretion49,50 and defective insulin clearance51 in black children, which is not explained by either the degree of insulin sensitivity or adiposity. Although the reasons for this are still not completely clear, our previous study demonstrated that when controlled for the degree of insulin secretion, the difference in insulin resistance between black and white children is obviated, but when controlled for the degree of insulin resistance, the difference in insulin secretion between the 2 races remains dichotomous.15 This suggests that the primary defect in black children is actually insulin hypersecretion, and that insulin resistance may be an epiphenomenon. We have previously shown that obese black adults have an accentuated GLP-1 response to OGTT,52,53 which may account for the insulin hypersecretion directly at the β-cell, and would not be amenable to metformin therapy, whose primary effects are on the liver. Other possible reasons for this racial dichotomy in efficacy include differences in dietary choices or compliance with medication.
Lifestyle intervention continues to be the standard of care for pediatric obesity and should remain the initial option for therapy. However, the results of most studies suggest that efficacies of lifestyle approaches are quite variable. We have noted that individual differences in insulin dynamics may also contribute to this variability.54 Our results support the concept of using the OGTT with insulin dynamics to discern both insulin hypersecretion and resistance and as a method for directing adjunct pharmacotherapeutic decisions in obese children who have not responded to lifestyle intervention alone. However, before OGTT with insulin dynamics can be proposed as a clinical tool for general use, randomized controlled trials of pharmacotherapy in childhood obesity will be required. Neither metformin nor octreotide has been approved by the FDA for the treatment of pediatric obesity. However, a randomized controlled study of metformin efficacy with pre-hoc insulin dynamics is currently ongoing within the Glaser Pediatric Research Network, as is a study of efficacy of the long-acting octreotide-LAR in hypothalamic obesity conducted by its manufacturer.
Last, our results suggest a “decision-tree” evaluation point in the workup and treatment of obese children. It is clear that “one size does not fit all” when it comes to obesity therapy. There is clearly a role for pharmacotherapy in select patients, and it appears that assessing the biologic mechanism of the weight gain is an important consideration in terms of predicting response. Assessing insulin dynamics by OGTT is simple, relatively inexpensive, and prescient in terms of understanding the causes of obesity and targeting of patients with available medical therapies.
Acknowledgments
We acknowledge the administrative assistance of Faith Sanders. The authors would like to thank the nurses of the LeBonheur Children’s Medical Center CRC/Metabolic Unit and of the UCSF PCRC for their assistance in the enactment of these studies. The authors acknowledge the support of Novartis Pharmaceuticals Corp. in providing octreotide.
Footnotes
Supported in part by GCRC M01-RR00211, University of Tennessee, Memphis, and PCRC 5 M01 RR-01271, University of California, San Francisco, with funds provided by the National Center for Research Resources, U.S. Public Health Service.
1. Lustig RH. The neuroendocrinology of childhood obesity. Pediatr Clin N Am. 2001;48:909–30. [PubMed]
2. Lustig RH, Preeyasombat C, Velasquez-Mieyer PA. Childhood obesity. In: Pescovitz OH, Eugster EA, eds. Pediatric endocrinology: mechanisms, manifestations, and management. Philadelphia: Lippincott, Williams, and Wilkins; 2004. p. 693–714.
3. Farooqi IS, Jebb SA, Langmack G, Lawrence E, Cheetham CH, Prentice AM, et al. Effects of recombinant leptin therapy in a child with congenital leptin deficiency. N Engl J Med. 1999;341:913–5. [PubMed]
4. Heymsfield SB, Greenberg AS, Fujioka K, Dixon RM, Kushner R, Hunt T, et al. Recombinant leptin for weight loss in obese and lean adults: a randomized, controlled, dose-escalation trial. JAMA. 1999;282:1568–75. [PubMed]
5. Freemark M, Bursey D. The effects of metformin on body mass index and glucose tolerance in obese adolescents with fasting hyperinsulinemia and a family history of Type 2 diabetes. Pediatrics. 2001;107:e55. [PubMed]
6. Kay JP, Alemzadeh R, Langley G, D’Angelo L, Smith P, Holshouser S. Beneficial effects of metformin in normoglycemic morbidly obese adolescents. Metabolism. 2001;50:1457–61. [PubMed]
7. Berkowitz RI, Wadden TA, Tershakovec AM, Cronquist JL. Behavior therapy and sibutramine for the treatment of adolescent obesity: a randomized controlled trial. JAMA. 2003;289:1805–12. [PubMed]
8. McDuffie JR, Calis KA, Uwaifo GI, Sebring NG, Fallon EM, Frazer TE, et al. Efficacy of orlistat as an adjunct to behavioral treatment in overweight African-American and Caucasian adolescents with obesity-related co-morbid conditions. J Pediatr Endocrinol Metabol. 2003;17:307–19. [PMC free article] [PubMed]
9. Quattrin T, Liu E, Shaw N, Shine B, Chiang E. Obese children who are referred to the pediatric endocrinologist: characteristics and outcome. Pediatrics. 2005;115:348–51. [PubMed]
10. Caprio S, Tamborlane WV. Metabolic impact of obesity in childhood. Endocrinol Metab Clin N Am. 1999;28:731–47. [PubMed]
11. Michael MD, Kulkarni RN, Postic C, Previs SF, Shulman GI, Magnuson MA, et al. Loss of insulin signaling in hepatocytes leads to severe insulin resistance and progressive hepatic dysfunction. Molecular Cell. 2000;6:87–97. [PubMed]
12. Rothman DL, Magnusson I, Cline G, Gerard D, Kahn CR, Shulman RG, et al. Decreased muscle glucose transport/phosphorylation is an early defect in the pathogenesis of non-insulin-dependent diabetes mellitus. Proc Natl Acad Sci. 1995;92:983–7. [PubMed]
13. Bray GA, Inoue S, Nishizawa Y. Hypothalamic obesity. Diabetologia. 1981;20:366–77. [PubMed]
14. Lustig RH. Hypothalamic obesity: the sixth cranial endocrinopathy. Endocrinol. 2002;12:210–7.
15. Preeyasombat C, Bacchetti P, Lazar AA, Lustig RH. Racial and etiopathologic dichotomies in insulin secretion and resistance in obese children. J Pediatr. 2005;146:474–81. [PubMed]
16. Lutjens A, Smit JL. Effect of biguanide treatment in obese children. Helvetica Paediatrica Acta. 1977;31:473–80. [PubMed]
17. Mogul HR, Peterson SJ, Weinstein BI, Zhang S, Southren AL. Metformin and carbohydrate-modified diet: a novel obesity treatment protocol: preliminary findings from a case series of nondiabetic women with midlife weight gain and hyperinsulinemia. Heart Disease. 2001;3:285–92. [PubMed]
18. Morrison JA, Cottingham EM, Barton BA. Metformin for weight loss in pediatric patients taking psychotropic drugs. Am J Psychiatr. 2002;159:655–7. [PubMed]
19. Freemark M. Pharmacologic approaches to the prevention of Type 2 diabetes in high risk pediatric patients. J Clin Endocrinol Metab. 2003;88:3–13. [PubMed]
20. Lustig RH, Rose SR, Burghen GA, Velasquez-Mieyer P, Broome DC, Smith K, et al. Hypothalamic obesity in children caused by cranial insult: altered glucose and insulin dynamics, and reversal by a somatostatin agonist. J Pediatr. 1999;135:162–8. [PubMed]
21. Lustig RH, Hinds PS, Ringwald-Smith K, Christensen RK, Kaste SC, Schreiber RE, et al. Octreotide therapy of pediatric hypothalamic obesity: a double-blind, placebo-controlled trial. J Clin Endocrinol Metab. 2003;88:2586–92. [PubMed]
22. Marshall WA, Tanner JM. Variations in the pattern of pubertal changes in boys. Arch Dis Child. 1970;45:13–23. [PMC free article] [PubMed]
23. Marshall WA, Tanner JM. Variations in pattern of pubertal changes in girls. Arch Dis Child. 1969;44:291–303. [PMC free article] [PubMed]
24. Reaven GM, Brand RJ, Chen YDI, Mathur AK, Goldfine I. Insulin resistance and insulin secretion are determinants of oral glucose tolerance in normal individuals. Diabetes. 1993;42:1324–32. [PubMed]
25. Sluiter WJ, Erkelens DW, Terpstra P, Reitsma WD, Doorendos H. Glucose intolerance and insulin release, a mathematical approach.1. Assay of the beta-cell response after glucose loading. Diabetes. 1976;25:241–4. [PubMed]
26. Silverman B, Franklin GM, Bolin R. Lactic acidosis traced to thiamine deficiency related to nationwide shortage of multivitamins for total parenteral nutrition. MMWR. 1997;46:523–8. [PubMed]
27. Kadish AH, Little RH, Sternberg JC. A new and rapid method for the determination of glucose by measurement of rate of oxygen consumption. Clin Chem. 1968;14:116–9.
28. Matsuda M, DeFronzo RA. Insulin sensitivity indices obtained from oral glucose tolerance testing: comparison with the euglycemic insulin clamp. Diabetes Care. 1999;22:1462–70. [PubMed]
29. Laird NM, Ware JH. Random-effects models for longitudinal data. Biometrics. 1982;38:963–74. [PubMed]
30. Ramsay TG. Fat cells. Endocrinol Metab Clin N Am. 1996;25:847–70. [PubMed]
31. Weiss R, Dziura J, Burgert TS, Tamborlane WV, Taksali SE, Yeckel CW, et al. Obesity and the metabolic syndrome in children and adolescents. N Engl J Med. 2004;350:2362–74. [PubMed]
32. Kohen-Avramoglu R, Theriault A, Adeli K. Emergence of the metabolic syndrome in childhood: an epidemiological overview and mechanistic link to dyslipidemia. Clin Biochem. 2003;36:413–20. [PubMed]
33. Lustig RH. Autonomic dysfunction of the β-cell and the pathogenesis of obesity. Rev Endocr Metab Dis. 2003;4:23–32. [PubMed]
34. Diabetes Prevention Program Research Group. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med. 2002;346:393–403. [PMC free article] [PubMed]
35. Lee A, Morley JE. Metformin decreases food-consumption and induces weight-loss in subjects with obesity with type-II non-insulin-dependent diabetes. Obes Res. 1998;6:47–53. [PubMed]
36. Paolisso G, Amato L, Eccellente R, Gambardella A, Tagliamonte MR, Varricchio G, et al. Effect of metformin on food intake in obese subjects. Eur J Clin Invest. 1998;28:441–6. [PubMed]
37. Bailey CJ, Turner RC. Metformin. N Engl J Med. 1996;334:574–9. [PubMed]
38. Lenhard JM, Kliewer SA, Paulik MA, Plunket KD, Lehmann JM, Weiel JE. Effects of troglitazone and metformin on glucose and lipid metabolism: alterations of two distinct molecular pathways. Biochem Pharmacol. 1997;54:801–8. [PubMed]
39. Zhou G, Myers R, Li Y, Chen Y, Shen X, Fenyk-Melody J, et al. Role of AMP-activated protein kinase in mechanism of metformin action. J Clin Invest. 2001;108:1167–74. [PMC free article] [PubMed]
40. Mannucci E, Ognibene A, Cemasco F, Bardini G, Mencucci A, Pierazzuoli E, et al. Effect of metformin on glucagon-like peptide-1 (GLP-1) and leptin levels in obese nondiabetic subjects. Diabetes Care. 2001;24:489–94. [PubMed]
41. Mitra SW, Mezey E, Hunyady B, Chamberlain L, Hayes E, Foor F, et al. Colocalization of somatostatin receptor sst5 and insulin in rat pancreatic β-cells. Endocrinology. 1999;140:3790–6. [PubMed]
42. Hsu WH, Xiang HD, Rajan AS, Kunze DL, Boyd AE. Somatostatin inhibits insulin secretion by a G-protein-mediated decrease in Ca2+ entry through voltage-dependent Ca2+ channels in the beta-cell. J Biologic Chem. 1991;266:837–43. [PubMed]
43. Lamberts SWJ, Van Der Lely AJ, De Herder WW, Hofland LJ. Drug therapy: octreotide. N Engl J Med. 1996;334:246–54. [PubMed]
44. Orskov L, Moller N, Bak JF, Porksen N, Schmitz O. Effects of the somatostatin analog, octreotide, on glucose metabolism and insulin sensitivity in insulin-dependent diabetes mellitus. Metabolism. 1996;45:211–7. [PubMed]
45. Bergman RN, Ader M, Huecking K, Van Citters G. Accurate assessment of beta-cell function: the hyperbolic correction. Diabetes. 2002;51(Supp1):S212–20. [PubMed]
46. D’Alessio DA, Kieffer TJ, Taborsky GJ, Havel PJ. Activation of the parasympathetic nervous system is necessary for normal meal induced-insulin secretion in rhesus macaques. J Clin Endocrinol Metab. 2001;86:1253–9. [PubMed]
47. Kiefer TJ, Habener JF. The glucagon-like peptides. Endocrine Rev. 1999;20:876–913. [PubMed]
48. Lustig RH, Christensen ML, Tosson HM, Velasquez-Mieyer PA, Arheart KL, Danish RK, et al. Racial dichotomy in the body mass index (BMI) response to metformin pharmacotherapy for obesity/insulin resistance in children. Soc Ped Research. 2001;46:550. [abstract]
49. Uwaifo GI, Nguyen TT, Keil MF, Russell DL, Nicholson JC, Bonat SH, et al. Differences in insulin secretion and sensitivity of Caucasian and African-American prepubertal children. J Pediatr. 2002;140:673–80. [PubMed]
50. Gower BA, Granger WM, Franklin F, Shewchuk RM, Goran MI. Contribution of insulin secretion and clearance to glucose-induced insulin concentration in African-American and Caucasian children. J Clin Endocrinol Metab. 2002;87:2218–24. [PubMed]
51. Arslanian SA, Saad R, Lewy V, Danadian K, Janosky JE. Hyperinsulinemia in African-American children: decreased insulin clearance and increased insulin secretion and its relationship to insulin sensitivity. Diabetes. 2002;51:3014–9. [PubMed]
52. Velasquez-Mieyer PA, Cowan PA, Umpierrez GE, Lustig RH, Cashion AK, Burghen GA. Racial differences in glucagon-like peptide-1 (GLP-1) concentrations and insulin dynamics during oral glucose tolerance testing in obese subjects. Int J Obes. 2003;27:1359–64. [PMC free article] [PubMed]
53. Velasquez-Mieyer PA, Umpierrez GE, Lustig RH, Cashion AK, Cowan PA, Christensen ML, et al. Race affects insulin and GLP-1 secretion and response to a long-acting somatostatin analogue in obese adults. Int J Obes. 2004;28:1–4. [PMC free article] [PubMed]
54. De La Torre RI, Garber AK, Mietus-Snyder ML, Tran CT, Madsen K, Orrell-Valente JK, et al. Predictors of efficacy of a biochemically-based pediatric weight management program. Ped Acad Soc. 2005;50:237. [abstract]