Vitamin D and Glucose Metabolism in Pediatrics
Vitamin D Concentrations and Their Effect on Glucose Metabolism in Pediatrics
1 other identifier
interventional
110
1 country
1
Brief Summary
The discovery that the vitamin D receptor is expressed in more than 30 tissues indicates that the physiologic functions of vitamin D are much broader than its well-known role in the regulation of calcium absorption and bone metabolism. There is evidence that vitamin D is involved in the pathogenesis of cancer, cardiovascular disease, multiple sclerosis, and type I diabetes. Recent epidemiological evidence points to a strong association between vitamin D insufficiency and insulin resistance, the metabolic syndrome, and type II diabetes. The investigators would like to examine the role of vitamin D in the development of insulin resistance in overweight children and adolescents, which represent a high risk population for cardiovascular and metabolic complications. The investigators propose a prospective randomized clinical trial of vitamin D supplementation in overweight, insulin resistant, vitamin D deficient children. The investigators objective is to assess if changes in insulin resistance, fasting lipid profiles, blood pressure, and inflammatory markers occur in these patients post treatment with vitamin D. Additionally, concomitant changes in calcium and bone metabolism after vitamin D treatment will be evaluated. This is because, contrary to adults, the optimal vitamin D concentrations that regulate calcium and bone metabolism have not been established in pediatrics.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for phase_4
Started Apr 2011
Shorter than P25 for phase_4
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
April 1, 2011
CompletedFirst Submitted
Initial submission to the registry
April 18, 2011
CompletedFirst Posted
Study publicly available on registry
July 1, 2011
CompletedPrimary Completion
Last participant's last visit for primary outcome
March 1, 2012
CompletedStudy Completion
Last participant's last visit for all outcomes
March 1, 2012
CompletedJuly 1, 2011
June 1, 2011
11 months
April 18, 2011
June 30, 2011
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
To determine changes in insulin sensitivity induced by vitamin D supplementation in obese children with insulin resistance.
To our knowledge, there are no prospective randomized clinical trials on examining the effects of vitamin D treatment on insulin resistance and bone metabolism in vitamin D deficient, insulin resistant, obese children. We would like to determine if giving Vitamin D supplementation to obese children will help reduce their insulin resistance. We plan to measure Vitamin D levels and HOMA-IR at baseline and compare this to levels post-supplementation. Our timeframe is baseline and 4 months.
4 months
Secondary Outcomes (1)
To quantify the associations between vitamin D 25 concentration, insulin resistance, and calcium metabolism in overweight children.
4 months
Study Arms (2)
Vitamin D
ACTIVE COMPARATORSubjects will randomly be assigned to Vitamin D drops versus placebo drops.
Placebo
PLACEBO COMPARATORSubjects will randomly be assigned to Vitamin D drops versus placebo drops.
Interventions
Subjects will be randomly assigned to Vitamin D 3,000 Units per day or Placebo drops.
Subjects will be randomly assigned to Vitamin D 3,000 Units per day or Placebo drops.
Eligibility Criteria
You may qualify if:
- BMI\>85th% for age \& sex
- Vitamin D25 between 10-20ng/ml
- Normal serum Ca concentrations \>8.5mg/dl
- Evidence of insulin resistance (measured by HOMA-IR, and QUICKI indices)
You may not qualify if:
- Vitamin D25\<10ng/ml
- No parental consent
- No evidence of insulin resistance
- BMI \< 85th percentile
- Known diagnosis of type 1 or 2 diabetes
- Severe underlying disease such as liver disease, end-stage renal disease, or malignancy
- Present medication that affects insulin sensitivity such as steroids or Metformin
- Any chronic illness or administration of medications that is associated with fat malabsorption as they may interfere with vitamin D absorption.
- Known history of hypocalcemia, calcium disorder (such as Di George syndrome)
- Serum Calcium concentration \< 8.5mg/dl
- Other drugs that might effect vitamin D metabolism due to induction of P450 enzyme activity.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Weill Cornell Medical College
New York, New York, 10021, United States
Related Publications (12)
Alemzadeh R, Kichler J, Babar G, Calhoun M. Hypovitaminosis D in obese children and adolescents: relationship with adiposity, insulin sensitivity, ethnicity, and season. Metabolism. 2008 Feb;57(2):183-91. doi: 10.1016/j.metabol.2007.08.023.
PMID: 18191047BACKGROUNDHolick MF. Vitamin D deficiency. N Engl J Med. 2007 Jul 19;357(3):266-81. doi: 10.1056/NEJMra070553. No abstract available.
PMID: 17634462BACKGROUNDChiu KC, Chu A, Go VL, Saad MF. Hypovitaminosis D is associated with insulin resistance and beta cell dysfunction. Am J Clin Nutr. 2004 May;79(5):820-5. doi: 10.1093/ajcn/79.5.820.
PMID: 15113720BACKGROUNDSmotkin-Tangorra M, Purushothaman R, Gupta A, Nejati G, Anhalt H, Ten S. Prevalence of vitamin D insufficiency in obese children and adolescents. J Pediatr Endocrinol Metab. 2007 Jul;20(7):817-23. doi: 10.1515/jpem.2007.20.7.817.
PMID: 17849744BACKGROUNDMunns C, Zacharin MR, Rodda CP, Batch JA, Morley R, Cranswick NE, Craig ME, Cutfield WS, Hofman PL, Taylor BJ, Grover SR, Pasco JA, Burgner D, Cowell CT; Paediatric Endocrine Group; Paediatric Bone Australasia. Prevention and treatment of infant and childhood vitamin D deficiency in Australia and New Zealand: a consensus statement. Med J Aust. 2006 Sep 4;185(5):268-72. doi: 10.5694/j.1326-5377.2006.tb00558.x.
PMID: 16948623BACKGROUNDKeskin M, Kurtoglu S, Kendirci M, Atabek ME, Yazici C. Homeostasis model assessment is more reliable than the fasting glucose/insulin ratio and quantitative insulin sensitivity check index for assessing insulin resistance among obese children and adolescents. Pediatrics. 2005 Apr;115(4):e500-3. doi: 10.1542/peds.2004-1921. Epub 2005 Mar 1.
PMID: 15741351BACKGROUNDKatz A, Nambi SS, Mather K, Baron AD, Follmann DA, Sullivan G, Quon MJ. Quantitative insulin sensitivity check index: a simple, accurate method for assessing insulin sensitivity in humans. J Clin Endocrinol Metab. 2000 Jul;85(7):2402-10. doi: 10.1210/jcem.85.7.6661.
PMID: 10902785BACKGROUNDMatsuda M, DeFronzo RA. Insulin sensitivity indices obtained from oral glucose tolerance testing: comparison with the euglycemic insulin clamp. Diabetes Care. 1999 Sep;22(9):1462-70. doi: 10.2337/diacare.22.9.1462.
PMID: 10480510BACKGROUNDRadikova Z, Koska J, Huckova M, Ksinantova L, Imrich R, Vigas M, Trnovec T, Langer P, Sebokova E, Klimes I. Insulin sensitivity indices: a proposal of cut-off points for simple identification of insulin-resistant subjects. Exp Clin Endocrinol Diabetes. 2006 May;114(5):249-56. doi: 10.1055/s-2006-924233.
PMID: 16804799BACKGROUNDPittas AG, Lau J, Hu FB, Dawson-Hughes B. The role of vitamin D and calcium in type 2 diabetes. A systematic review and meta-analysis. J Clin Endocrinol Metab. 2007 Jun;92(6):2017-29. doi: 10.1210/jc.2007-0298. Epub 2007 Mar 27.
PMID: 17389701BACKGROUNDPalomer X, Gonzalez-Clemente JM, Blanco-Vaca F, Mauricio D. Role of vitamin D in the pathogenesis of type 2 diabetes mellitus. Diabetes Obes Metab. 2008 Mar;10(3):185-97. doi: 10.1111/j.1463-1326.2007.00710.x.
PMID: 18269634BACKGROUNDForouhi NG, Luan J, Cooper A, Boucher BJ, Wareham NJ. Baseline serum 25-hydroxy vitamin d is predictive of future glycemic status and insulin resistance: the Medical Research Council Ely Prospective Study 1990-2000. Diabetes. 2008 Oct;57(10):2619-25. doi: 10.2337/db08-0593. Epub 2008 Jun 30.
PMID: 18591391BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Maria Vogiatzi, MD
Weill Medical College of Cornell University
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- phase 4
- Allocation
- RANDOMIZED
- Masking
- QUADRUPLE
- Who Masked
- PARTICIPANT, CARE PROVIDER, INVESTIGATOR, OUTCOMES ASSESSOR
- Purpose
- PREVENTION
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
Study Record Dates
First Submitted
April 18, 2011
First Posted
July 1, 2011
Study Start
April 1, 2011
Primary Completion
March 1, 2012
Study Completion
March 1, 2012
Last Updated
July 1, 2011
Record last verified: 2011-06