A Pilot Study to Examine Metabolic Flexibility as a Mechanism for Diet- Induced Epigenetic Alterations in Male Gametes
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 入组人数
- 10
- 试验地点
- 1
- 主要终点
- Sperm DNA methylation
研究概览
简要总结
This is a pilot study in 10 men to test the hypothesis that perturbations in substrate flux and the circulating metabolic and pro-inflammatory milieus during a high-fat diet paradigm will modulate DNA methylation of genes in sperm associated with obesity and cardiometabolic dysfunction.
详细描述
The Paternal Origins of Health and Disease (POHaD) hypothesis was introduced to emphasize the need for research on paternal transmission of environmental exposures on offspring disease development. Paternal exposure to an obesogenic diet has been shown to imprint epigenetic predisposition to metabolic diseases which can be evident in offspring for up to 5 generations. In support, observational studies in men show that high-fat diets and diets high in processed foods significantly reduced the quantity and quality of sperm, including motility, morphology, and concentration, and DNA methylation of genes associated with obesity and cardiometabolic dysfunction. Yet, there are no experimental diet manipulation studies in males to understand the contribution of an acute obesogenic diet (i.e., high-fat) on DNA methylation of genes associated with obesity and cardiometabolic diseases in male gametes.
The research aims of this study are to: 1) measure DNA methylation of genes in semen in response to a healthy and high-fat diet, 2) examine metabolic flexibility in response to a healthy and high fat diet and its contribution to DNA methylation in semen, and 3) examine the metabolic and inflammatory milieu in response to a healthy and high fat diet and its contribution to DNA methylation in semen. To achieve these aims, we will conduct a cross-sectional, observational study in 10 healthy male participants 20-35 years of age using two diets (Healthy Diet: 27% Fat, 55% Carbohydrate, 15% Protein followed by a High-Fat Diet: 50% Fat, 35% Carbohydrate, 15% Protein).
研究设计
- 研究类型
- Observational
- 观察模型
- Case Crossover
- 时间视角
- Prospective
入排标准
- 年龄范围
- 20 Years 至 35 Years(Adult)
- 性别
- Male
- 接受健康志愿者
- 是
入选标准
- •Male based on biological sex
- •Age 20-35 years
- •BMI between 18.5 and 24.9 kg/m2
- •White/Caucasian
- •Willing to consume pre-prepared meals
- •Willing to wear an accelerometer and continuous glucose monitor (CGM)
- •Willing to track diet intake
- •Willing to stay 24 hours, including overnight in a research clinic
- •Willing to provide blood and sperm samples
- •Willing to consent to whole-genome sequencing of DNA
排除标准
- •Unstable weight in the last 3 months (±5% weight loss or gain)
- •Shift work or working in a factory setting
- •Habitual smoking or use of tobacco products, including vaping, within the past 6 months.
- •History of clinically diagnosed diabetes
- •Hypertension (>140/90 mmHg measured at screening)
- •Has undergone bariatric surgery
- •History of cardiovascular disease, neurological disease, or other chronic diseases, including cancer
- •History of human immunodeficiency virus (HIV) or acquired immunodeficiency syndrome (AIDS)
- •Adherence to special or restrained diets (e.g., low-CHO, low-fat, or vegetarian/vegan diets) or food allergies associated with study foods.
- •Currently engaging in >150 minutes moderate-intensity or >75 minutes of vigorous-intensity physical activity each week
- •Drinking more than 14 servings of beer or alcohol per week
- •Depressive (Score ≥10), anxiety (Score ≥8), and stress (Score≥15) symptomology (Score ≥16) from the 42-item Depression, Anxiety, Stress Scales (DASS)
结局指标
主要结局
Sperm DNA methylation
时间窗: Baseline, Immediately after the healthy diet, Immediately after the high-fat diet
Incidence of DNA methylation (whole genome/epigenome wide) of genes in sperm measured using bisulphate sequencing
次要结局
- Sperm DNA Damage(Baseline, Immediately after the healthy diet, Immediately after the high-fat diet)
研究者
Emily W. Flanagan, MS, PhD
Postdoctoral Researcher
Pennington Biomedical Research Center
