Institute for Nutritional Sciences, Chinese Academy of Sciences
Shanghai, Shanghai Municipality, 200031, China
NCT Number: NCT03231618
This study is a randomized crossover (2 × 3) dietary intervention. 40 male volunteers(20 normal weight, 20 overweight / obesity, no other serious disease or metabolic abnormalities) aged 18-45 years are required to take 3 kinds of isocaloric diets with different amounts of macronutrients: low-fat high-carbohydrate diets, low-carbohydrate high-fat diets and high-protein low-fat diets. The comparison is made within subject before and after the test meal. Each subject takes 6 meals of 3 kinds of diets on 6 separate days with a washout period between different diets. The study protocol was approved by the Ethics Committee of Shanghai Institutes for Biological Sciences and all participants provided written informed consents. The study is the first to investigate among overweight / obesity and normal weight in China to clarify:
1. the relationship between the proportion of macronutrients in diets and the energy metabolism efficiency. 2. the main genetic and non-genetic factors that impact individual energy metabolism, the characteristics of metabolic profiling and relative regulatory pathways.
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Notify Me18 year–45 year
Male
Interventional
Not applicable
Shanghai, Shanghai Municipality, 200031, China
With the largest population of obesity and diabetes, China is suffering from heavy burden of obesity and major complications such as cardiovascular disease, type 2 diabetes and other major metabolic diseases ,which have become the major cause of disease death and continued to endanger the public health. In order to curb the incidence of obesity and its complications, more effective strategies are required to "prevent the move forward." With the arrival of "precise nutrition" era, precise weight management strategy for different sub-groups has become a hotspot of international research in this field.
Healthy diet and lifestyle are worldwide recognized as the most important and effective ways of preventing chronic metabolic diseases such as obesity. Recently, different combinations of macronutrients including "low-fat + high carbon", "low carbon + high fat", and "high protein + low fat" draw much more attention instead of restriction on the total energy intake in the study of diet weight reduction strategy. However, it is noteworthy that most studies are focused on groups and conducted on the Western population. Studies of different dietary structure, genetic background and metabolic phenotypes of energy metabolism are still scarce, and data of Chinese population are lacking in this field.
This study intends to provide 40 male volunteers aged 20-45 (20 normal weight, 20 overweight / obesity, no other serious illness or metabolic abnormalities) with three diets with different levels of macronutrients (low-fat + high-carbon foods, low-carbon + high-fat foods, and high-protein + low-fat foods) to 1) clarify the relationship between the ratio of macronutrients in diets and the energy metabolism efficiency; 2) investigate the effect of major genetic and non-genetic factors (age, obesity, adipose distribution and thyroid hormone) and metabolomics profiles on individual energy metabolism; 3) explore novel metabolic regulation networks. Ultimately, this study will provide basic data for discovering the energy metabolism efficiency of different dietary intervention and major genetic and non-genetic determinants, metabolic profile characteristics and regulatory pathways.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Every participate was provided with 3 types of diets in random order
Time frame: 1 hour after meal
Respiratory quotient was measured in a metabolic chamber
Time frame: 1 hour after meal
Heart rate (bpm) was measured by automatic heart rate meter
Time frame: 2 hour after meal
Blood glucose (mg/dl) was measured using a automatic biochemical analyzer
Time frame: 2 hour after meal
Blood triglyceride (mg/dl) was measured using a automatic biochemical analyzer
Chinese Academy of Sciences
Other Gov
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