APOA2 Gene, Diet, Inflammation and Gut Health
试验速览
- 阶段
- 不适用
- 入组人数
- 37
- 试验地点
- 2
- 主要终点
- tryptophan metabolism
研究概览
简要总结
Nutrients and chemicals in food are able to regulate expression of genetic elements. Gene-nutrient interaction in response to unhealthy diets can increase an individual's risk, shifting the individual from health toward the development of chronic disease. The apolipoprotein A2 (APOA2) gene may either put individuals at risk for or protect from obesity in the presence of certain fats in food. The main purpose of this four-week study is to examine diet induced gene-nutrient interaction, with a focus on gut health, gut microbiota and inflammation in individuals who have either the CC or the TT form within a specific variant of the APOA2 Gene. The (2) one-week study diets, one plant based and the other animal based are separated by a (1) week return to your regular habitual without probiotic or prebiotic food products.
详细描述
The primary objectives of this application are 1. To use a diet intervention setting to rigorously evaluate the mechanisms responsible for the previously observed effects, focusing on gut microbiota and markers of gut health and inflammation and 2. To prove that targeted dietary intervention based on genes can provide additional, tailored benefit to genetically vulnerable individuals. The overall hypothesis proposes that significant cross-talk between the human host genome, the microbiome, and the diet, defines the observed inter-individual variation in metabolic and physiological responses. Accordingly, the investigators propose the following specific aims and hypotheses.
AIM 1: To catalog the response of the plasma metabolome to diets differing in saturated fat and prebiotics content (animal-based diet versus plant-based diet) in individuals from the USA carrying CC (n=20) and TT (n=20) genotypes at the common APOA2 -265T>C SNP using a crossover, randomized dietary intervention study.
Our primary hypothesis states: A significant and biologically relevant proportion of the individual variation in changes in the plasma metabolome in response to dietary saturated fat and prebiotic intake will be due to APOA2-265T>C genotypes. Specifically, subjects homozygous (CC) for the less common C allele will respond to decreases in total dietary saturated fat and increases in prebiotics (i.e., plant-based diet) with significantly greater improvement of metabolites related to gut health, inflammation and other cardiometabolic traits than subjects homozygous (TT) for the common T allele.
AIM 2: To characterize differential impacts of low SFA/high prebiotic (plant-based) diet vs. high SFA/low prebiotic (animal-based) diets on gut microbiota patterns between CC and TT persons at APOA2-265T>C.
Our primary hypothesis states: CC subjects have a preference for high-fat and -protein foods and therefore high levels of Bacteroidetes, Actinobacteria and similar species in the gut are expected. Moreover, reducing intake of saturated fat and increasing prebiotics will be more effective in inducing a healthier gut microflora profile in CC subjects than in those with the TT genotype, with opposite effects observed when the diet is switched to one high in saturated fat.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Crossover
- 主要目的
- Prevention
- 盲法
- Single (Investigator)
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Men and women
- •18 years or older
- •Women who are not pregnant
- •A BMI ranging between 27 and 34
排除标准
- •Unexplained elevation in serum transaminases (i.e. >1.5 times the upper limit of normal) or with evidence of active liver disease, including primary biliary cirrhosis or pre-existing gallbladder disease
- •Severe renal dysfunction (serum creatinine >2.0mg/dL)
- •Excessive alcohol consumption (>2 drinks/day)
- •Preexisting cardiovascular disease (CVD)
- •Stable exertional angina pectoris requiring sublingual nitroglycerin within the prior 3 months
- •Uncontrolled tyoe 2 diabetes (T2D) (fasting glucose >126 mg/dl) or other significant endocrine disease.
- •Uncontrolled hypertension (systolic blood pressure >180 mmHg or diastolic blood pressure >100 mmHg).
- •History of pancreatitis within 1 yr. prior to screening.
- •Subjects on lipid lowering or diabetes medications.
- •Pregnancy
- •Body mass index (BMI) below 27 or greater than 34 kg/m2
- •Participants will also be excluded for drug abuse, extreme dietary habits, multiple food allergies, extreme levels of physical or athletic activity, or by changes in body weight >20 lbs. during the last 6 months
- •Current use of antibiotics or during the previous 4 weeks.
- •Inability to follow any of the experimental diets (including being vegetarian) or to perform the sampling required for this study
- •Use of herbal supplements that may alter the gut microflora
- •Autoimmune diseases
- •Recent colonoscopy (within the previous two months)
- •Use of antidiarrheal medication
- •Thyroid diseases
- •Use of omega-3 supplements (unless it is discontinued one month prior to the beginning of the study).
结局指标
主要结局
tryptophan metabolism
时间窗: 1 week per intervention arm
The response of plasma metabolites related to tryptophan metabolism to diets differing in saturated fat and prebiotics content (animal-based diet versus plant-based diet) will vary in individuals carrying CC (n=20) and TT (n=20) genotypes at the common APOA2 -265T\>C single nucleotide polymorphism (SNP)
次要结局
- adipose tissue metabolism(1 week per intervention arm)
- Plasma Lipoproteins(1 week per intervention arm)
- Gut microbiota diversity and composition(1 week per intervention arm)
- Plasma levels of tumor necrosis factor alpha to assess regulation of immune cells(1 week per intervention arm)
- Plasma levels of C-reactive to assess regulation of inflammation(1 week per intervention arm)
- Plasma levels of Interleukin 6 to assess inflammatory status(1 week per intervention arm)
- Satiety assessment using plasma levels of leptin(1 week per intervention arm)
- Plasma levels of Lipopolysaccharides to assess gut inflammation(1 week per intervention arm)
研究者
Jose Ordovas
Senior Scientist
Tufts University