Study of Metabolic Homeostasis in Chinese
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 111
- 试验地点
- 1
- 主要终点
- Health state map (HSM)
研究概览
简要总结
In this open-label, acute intervention study, we will recruit 120 sex-matched participants aged 20-70 years (100 normal or overweight/obese subjects and 20 Mets subjects). They will be assigned to one of the six groups according to age, BMI and with and without MetS and have a standardized mixed macronutrient tolerance test (MMTT) by orally administered a 400-ml beverage (75g glucose, 60g lipid, and 20g protein). Fasting and postprandial blood, and urine and fecal samples will be collected. The primary aim is to establish a more comprehensive system to quantify different aspects of metabolic health based on fasting and postprandial data. The study protocol has been approved by the Ethics Committee of Shanghai Institutes for Biological Sciences.
详细描述
The recruited 120 subjects (60 men and 60 women aged 20-70 years) will be recruited according to the followings: 1) individuals aged 20-29 years with normal weight (18.5 kg/m2 ≤ BMI < 24 kg/m2); 2) individuals aged 30-49 years with normal weight; 3) individuals aged 30-49 years with overweight/obesity (BMI ≥ 24 kg/m2); 4) individuals aged 50-70 years with normal weight; 5) individuals aged 50-70 years with overweight/obesity; and 6) individuals aged 30-70 years with MetS. A standard questionnaire will be use to collect Information like lifestyle factors, nighttime sleep duration; anthropometric measurements will be performed. Blood samples will be collected via a catheter at fasting state (t = 0 min) and 5 successive time points post-MMTT (t = 30, 60, 120, 180 and 240 min). At t = 0 ,1 and 2 h, the fingertip blood will be collected as well. Body composition will be measured by dual energy x-ray absorptiometry (DXA). All these samples will be used to the assessment of blood chemistry, metabolomics, single nucleotide polymorphism (SNP), gut microbiota etc.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Single Group
- 主要目的
- Basic Science
- 盲法
- None
入排标准
- 年龄范围
- 20 Years 至 70 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •healthy subjects: age 20-70 BMI ≥ 18.5 kg/m2
- •Mets subjects:
- •age 30-70 BMI ≥ 18.5 kg/m2 and at least meet three of the following criterions(NCEP-ATPIII, for Asian Americans)
- •Waist circumference ≥ 90 cm (men), ≥ 80 cm (women).
- •Total triglyceride ≥ 1.7 mmol/L.
- •HDL-c <1.03 mmol/L in men, <1.3 mmol/L in women.
- •Systolic blood pressure ≥ 130 mmHg or diastolic blood pressure ≥ 85 mmHg.
- •Fasting plasma glucose ≥ 5.6 mmol/L.
排除标准
- •clinically diagnosed diabetes or use of anti-diabetic medications;
- •clinically diagnosed cardiovascular, kidney, liver, pituitary, alimentary tract, and thyroid diseases, cancer(s), or mental illnesses;
- •pregnancy or lactation;
- •having gastrointestinal surgery within 1 year, excepting appendicitis or hernia;
- •current use of antidepressant(s);
- •alcohol consumption > 40 g/d or other substance abuse;
- •severe diarrhea (watery stools ≥ 3 times/day ≥ 3 days or longer) in previous 3 months;
- •participating any other studies within previous 3 months.
结局指标
主要结局
Health state map (HSM)
时间窗: fasting (t = 0 min), postprandial (t = 30, 60, 120, 180, 240 min)
A two-dimensional system comprising "Health Phenotype Score" for fasting features and "Homeostatic Resilience Score" for post-MMTT features will be built. We want to investigate whether HSM is more informative than a one-dimensional model with fasting data and the Mixed-score model combining fasting and postprandial data. Features includes BMI, blood pressure, HbA1c, body compositions, glucose, insulin, total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, triacylglycerol, alanine aminotransferase, aspartate aminotransferase, gamma- glutamyl transpeptidase, C-reactive protein, free triiodothyronine, free thyroxine, thyroid stimulating hormone, gastric inhibitory polypeptide, glucagon-like peptide-1, adiponectin, leptin, intercellular cell adhesion molecule-1, vascular cell adhesion molecule-1, inflammatory factors (such as interleukin, -6, -8 and 1b, and tumor Necrosis Factor-α), and targeted metabolites (such as amino acids, acylcarnitines).
次要结局
未报告次要终点
研究者
Xu Lin
Principal Investigator
Chinese Academy of Sciences