Glucose Metabolism in Sickle Cell Disease
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ClinicalTrials.gov Identifier: NCT02922296 |
Recruitment Status :
Recruiting
First Posted : October 4, 2016
Last Update Posted : June 13, 2023
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Tracking Information | |||||
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First Submitted Date | July 31, 2016 | ||||
First Posted Date | October 4, 2016 | ||||
Last Update Posted Date | June 13, 2023 | ||||
Study Start Date | May 1, 2015 | ||||
Estimated Primary Completion Date | May 1, 2024 (Final data collection date for primary outcome measure) | ||||
Current Primary Outcome Measures |
Metabolic status of adult SCD subjects [ Time Frame: through study completion, approximately one year after subject participation ] The investigator will use the ATP III guidelines for definition of metabolic syndrome. A combination of any three of the following criteria will lead to the designation of metabolic syndrome:
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Original Primary Outcome Measures | Same as current | ||||
Change History | |||||
Current Secondary Outcome Measures |
Genetic and genomic predictors in SCD subjects [ Time Frame: through study completion, approximately one year after subject participation ] This will be accomplished by DNA linkage analysis and/or mutation analysis. In addition RNA will be isolated from from PBMCs and fractions of platelets, granulocytes and reticulocytes. The investigators will analyze the expression of transcripts to determine if alterations can explain the clinical observations.
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Original Secondary Outcome Measures | Same as current | ||||
Current Other Pre-specified Outcome Measures | Not Provided | ||||
Original Other Pre-specified Outcome Measures | Not Provided | ||||
Descriptive Information | |||||
Brief Title | Glucose Metabolism in Sickle Cell Disease | ||||
Official Title | Glucose Metabolism in Sickle Cell Disease | ||||
Brief Summary | The purpose of the study is to better understand how the body handles sugars glucose and fats, such as cholesterol and triglycerides in sickle cell disease, and what puts certain persons at risk to develop diabetes. This understanding may help us to find new treatments to control blood sugar and prevent diabetes in people with and without sickle cell disease (SCD). In this research, DNA and RNA will be isolated from blood cells. DNA will be used to find genes that cause or protect from diabetes, high cholesterol and high triglyceride, and RNA will be used for studies designed to find out how genes are doing their job of eventually producing proteins. |
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Detailed Description | Sickle cell disease (SCD) is due to homozygosity for a Glu6Val mutation in HBB (sickle cell anemia; hemoglobin SS) or to compound heterozygous forms like hemoglobin SC disease and hemoglobin S-β thalassemia. Past studies suggested a low prevalence of diabetes in patients with SCD.10 Improvements in treatment and care have increased the life span of patients. This, along with the wide availability of high calorie diets and increasing adiposity in SCD raises that possibility that the prevalence of diabetes is increasing in SCD. Our study is designed to characterize the changes in metabolism that occur in sickle cell disease and to identify clinical, genetic and genomic risk factors for the development of diabetes. Our hypothesis is that non-overweight subjects with SCD have relative protection from diabetes and metabolic syndrome, but that those individuals who do become overweight have a dramatic increase in the rates of diabetes and metabolic syndrome. Lean SCD subjects will not have simply a neutral, but an overtly anti-diabetic phenotype (e.g. better glucose tolerance and lower metabolic syndrome markers). The two main study aims are as follows; Aim 1. Define the metabolic status of adult SCD subjects according to normal or increased BMI. Aim 2. Determine genetic and genomic predictors of overweight, metabolic syndrome and diabetes in SCD subjects. |
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Study Type | Observational | ||||
Study Design | Observational Model: Other Time Perspective: Prospective |
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Target Follow-Up Duration | Not Provided | ||||
Biospecimen | Retention: Samples With DNA Description: Blood samples will be stored temporarily in the laboratory of the Principal Investigator at the University of Illinois at Chicago, long term storage of specimens will be at the UIC Biobank. The research data will be stored in a locked file cabinet in the PI's research office. The patient's name or other identifying data will not be revealed, except to those directly involved in this study.
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Sampling Method | Non-Probability Sample | ||||
Study Population | Adult sickle cell disease subjects, with or without diabetes. | ||||
Condition |
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Intervention | Not Provided | ||||
Study Groups/Cohorts | Not Provided | ||||
Publications * | Not Provided | ||||
* Includes publications given by the data provider as well as publications identified by ClinicalTrials.gov Identifier (NCT Number) in Medline. |
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Recruitment Information | |||||
Recruitment Status | Recruiting | ||||
Estimated Enrollment |
75 | ||||
Original Estimated Enrollment | Same as current | ||||
Estimated Study Completion Date | December 1, 2025 | ||||
Estimated Primary Completion Date | May 1, 2024 (Final data collection date for primary outcome measure) | ||||
Eligibility Criteria | Inclusion Criteria:
Exclusion Criteria:
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Sex/Gender |
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Ages | 18 Years and older (Adult, Older Adult) | ||||
Accepts Healthy Volunteers | No | ||||
Contacts |
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Listed Location Countries | United States | ||||
Removed Location Countries | |||||
Administrative Information | |||||
NCT Number | NCT02922296 | ||||
Other Study ID Numbers | 2015-0366 | ||||
Has Data Monitoring Committee | No | ||||
U.S. FDA-regulated Product | Not Provided | ||||
IPD Sharing Statement |
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Current Responsible Party | Victor Gordeuk, University of Illinois at Chicago | ||||
Original Responsible Party | Same as current | ||||
Current Study Sponsor | University of Illinois at Chicago | ||||
Original Study Sponsor | Same as current | ||||
Collaborators | Not Provided | ||||
Investigators |
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PRS Account | University of Illinois at Chicago | ||||
Verification Date | June 2023 |