Personalizing Mediterranean Diet in Children: the Ferrero Pilot Trial.
试验速览
- 阶段
- 不适用
- 状态
- 进行中(未招募)
- 入组人数
- 200
- 试验地点
- 1
- 主要终点
- Postprandial glycemic response
研究概览
简要总结
Investigating glucose response to Mediterranean and regular diets in healthy children in order to develop specific pediatric machine-learning for predicting the personalized glucose response to food for individual children.
The prediction will be based on multiple measurements, including blood tests, personal lifestyle and gut microbiome. This will allow investigators to design personalized Mediterranean machine-learning-based diets which may potentially reduce the burden of disease in adulthood as well as the burden of obesity in the pediatric age.
详细描述
Early-life nutrition plays a critical role in mid-term and long-term metabolic and nutritional outcomes. However, the mechanisms underlying the effects of early nutrition on health are yet to be fully understood. Recently, it has been shown that alterations in intestinal microbiota and modulation of the immune response induced by food serve as the main mechanisms involved in the development of inflammatory conditions such as asthma, inflammatory bowel diseases, and cardiovascular disease. The Mediterranean diet has been shown to reduce the risk of cardiovascular disease, cancer, depression, colorectal cancer, diabetes, obesity, asthma, cognitive decline and premature death in general. Some studies also reported a positive effect of Mediterranean diet on glycemic control. However, whether this diet is a benefit to all individuals is unknown. Likewise, whether gut microbiome and its responses to diet is involved in these effects, or whether different Mediterranean diets may be optimized at the individualized level remains unstudied.
Recently, the investigators developed an algorithm enabling to predict the personalized postprandial glucose responses to food in adult healthy individuals. However, personalized nutrition was never tested on children.
In this study, children will be followed up in different bio-geographical locations. The primary aim of the study is to develop specific pediatric algorithms for predicting the personalized glucose response to food for individual children. This prediction will be based on multiple measurements, including blood and urine tests, anthropometric measurements, personal lifestyle and gut microbiome. This may allow the investigators to design personalized Mediterranean algorithm-based diets which may potentially reduce the burden of non-communicable disease in adulthood as well as the burden of obesity in the pediatric age.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 6 Years 至 11 Years(Child)
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Healthy children
- •6-11 years of age
排除标准
- •Acute disease 2 months prior to enrollment
- •Chronic illness in the past 5 years, including inflammatory, metabolic, neoplastic, congenital and infectious disease.
- •Use of medications (e.g. Antibiotics/antifungal, PPI, analgesics) and any antibiotics 3 months prior to the first visit, PPI one month prior to the beginning of the study or use of medication during the study.
- •Treatment with anti-diabetic medications;
- •Neuro-psychiatric disorders
- •Cancer and recent anticancer treatment
- •Eating disorders (Anorexia nervosa. Bulimia nervosa. Binge eating disorder, Night eating syndrome).
- •Inability of the participant and/or nuclear family to follow and utilize the smartphone application.
- •Dietary restrictions or specific dietary regimen
结局指标
主要结局
Postprandial glycemic response
时间窗: 1-3 years
Continuous glucose monitor
次要结局
- Microbiome composition and function(1-3 years)
研究者
Eran Elinav
Prof. Eran Elinav
Weizmann Institute of Science
