Validation of a Predictive Risk Equation for Type 2 Diabetes in Families With Risk (DESCENDANCE)
Validation of a Predictive Risk Equation for Type 2 Diabetes in Children With Diabetes to Achieve a Predictive Diagnostic Biochip for the Early Detection of Individuals at Risk in Families.
Considering its epidemic-like development worldwide, associated with modifications in lifestyle, as well as its enormous social and economic weight, the prevention of type II diabetes is certain to be a central concern of health systems within the developed countries in the decades to come. However, while simple obesity concerns the entire population, type 2 diabetes affects only one sub-population at high genetic risk. To be effective and realistic in economic terms, efforts at prevention must be thus targeted towards these subjects at high risk. The key issue involves identifying such subjects early enough so that a strategy of effective prevention can be organized in good time.
Until now, efforts have been concentrated on individuals at risk for diabetes readily identifiable within the general population, typically subjects in the second half of adulthood, presenting abdominal obesity and mild abnormalities of blood sugar. Preventive lifestyle and dietary measures are proposed but are constrictive and difficult to maintain over time, and the results, although they may be significant, remain disappointing, with mere postponement of an outcome which at this stage appears inevitable. The reason is ascribable to excessively tardy intervention, when the pathogenic process has already been ongoing for some ten years and the endocrine function of the pancreas is probably already irreparably impaired.
The alternative thus is earlier intervention, in childhood, adolescence or early adulthood. The problem is to identify individuals at high risk of becoming diabetic at a time when they are presenting no simple clinical or laboratory abnormalities allowing easy diagnosis. The familial character of type 2 diabetes is now well established, and future diabetic subjects are themselves above all the children of diabetic subjects. However, the prevalence of the disease among the descendants of type 2 diabetic subjects is around 20-30% and predictive tools are needed to combat diabetes in these high-risk families.
We propose to create a risk equation using an algorithm to reliably predict children most likely to develop diabetes later in life.
The algorithm will include 3 classes of data:
- The genotype stemming from the genetic characterization of individuals and those their parents;
- Environmental data concerning childhood, especially eating habits and physical activity;
- Data of the mother who was eventually diabetic during pregnancy.
From a methodological standpoint, it would be rather difficult to take blood samples from children and wait some 50 years to determine whether or not they develop diabetes. To circumvent this difficulty, we will recruit subjects in families with a history of type II diabetes:
- Parents alive, including at least one type 2 diabetic subject
- Adult children (aged over 35 years), some of whom are already presenting type II diabetes, and healthy brothers and sisters, who form the control population. Test will be done to determine whether healthy subjects are really safe from the risk of diabetes (HbA1c measurement and glucose load test).
The Descendence study will include 500 families at risk involving about 3000 subjects (1000 subjects with diabetes and 2000 healthy subjects). It is expected to answer the following question: for a child born in such families at risk, what is the probability of developing diabetes later in life, so that early preventive action may be taken
研究概览
研究类型
注册 (实际的)
阶段
- 不适用
联系人和位置
学习地点
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Liege、比利时、4000
- CHU Sart Tilman Liege
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Besancon、法国、25030
- Chu Jean Minjoz
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Bobigny、法国、93000
- CHU Avicenne
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Bondy、法国
- CHU de Bondy
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Brest、法国
- CHU de Brest
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Caen、法国、14000
- CHU de Caen
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Evry、法国、91000
- Ch Sud Francilien
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Grenoble、法国、38043
- University Hospital Grenoble
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Le Kremlin-Bicêtre、法国、94270
- CHU de Bicêtre
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Lille、法国、59037
- CHRU Lille
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Marseille、法国、13274
- CHU Marseille Hôpitaux Sud
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Nancy、法国、54500
- CHU de Nancy
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Nantes、法国、44000
- CHU de Nantes
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Paris、法国、75877
- CHU Bichat
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Reims、法国
- CHU de Reims
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Strasbourg、法国、67000
- Centre Hospitalier Strasbourg
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Toulouse、法国、31403
- CHU Toulouse
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参与标准
资格标准
适合学习的年龄
接受健康志愿者
有资格学习的性别
描述
Inclusion Criteria:
- Families at risk for diabetes defined by the existence of the disease in two successive generations and consists with healthy subject in the two generations.
- Subjects must be aged over 25 years
Exclusion Criteria:
- subject refusing to participate
- pregnant women
学习计划
研究是如何设计的？
设计细节
- 主要用途：预防
- 分配：非随机化
- 介入模型：并行分配
- 屏蔽：无（打开标签）
武器和干预
参与者组/臂 |
干预/治疗 |
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其他：Type 2 diabetic subject
Subject with type 2 diabetes
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其他：healthy subject
Healthy subjet from family where there is the existence of the disease (type 2 diabetes) in two successive generations
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Oral Glucoce Tolerance Test
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研究衡量的是什么？
主要结果指标
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
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Measure of risk of developing type 2 diabetes in at-risk families
大体时间：participants will be followed from the moment where they sign consent form and until they have sent back questionnary and done the blood test, an expected average of 4 weeks
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Oral Glucose Tolerance Test (only for health volunteers) HbA1c assay (for type 2 diabetic subject)
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participants will be followed from the moment where they sign consent form and until they have sent back questionnary and done the blood test, an expected average of 4 weeks
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合作者和调查者
研究记录日期
研究主要日期
学习开始 (实际的)
初级完成 (实际的)
研究完成 (实际的)
研究注册日期
首次提交
首先提交符合 QC 标准的
首次发布 (估计)
研究记录更新
最后更新发布 (实际的)
上次提交的符合 QC 标准的更新
最后验证
更多信息
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