Nutritional Intake and Gut Microbiome
- Conditions
- Obesity, Childhood
- Interventions
- Diagnostic Test: Gut microbiome profiling
- Registration Number
- NCT03388411
- Lead Sponsor
- Hallym University Kangnam Sacred Heart Hospital
- Brief Summary
Pediatric obesity has been increasing in prevalence, but concerns have been raised around the world because no treatment has been found. Recently, however, research on gut microbiome has begun to become a new alternative. It has been shown that changes in the microbiome in adults may induce obesity. However, the results on children are still scarce. Unlike adults, children have few external factors such as alcohol, tobacco, stress, and cancer, making them suitable for obesity-related gut microbiome studies. The investigators will use Illumina MiSeq platform for 16s rRNA metagenomics profiling in children. In this study, the investigators aimed to analyze the relationship between pediatric obesity, gut microbiome profile, blood biomarkers relevant to metabolic syndrome, and nutrient intake data.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 61
- Obese children: Children ≥95 ‰ between age 7 and 12 years
- Non-obese children: 5‰<BMI <85 ‰ for children between the ages of 7 and 12 years
- Taking antibiotics, probiotics, or steroids for a month before visit
- Taking probiotics-like products including yogurt for seven days before visit
- Having enteritis symptoms including diarrhea for a month before visit
- Chronic heart disease, chronic bowel disease, chronic liver disease, chronic kidney disease, endocrine disease, genetic diseases or congenital metabolic disorder
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description Obese children Gut microbiome profiling Children ≥95 ‰ between age 7 and 12 years Non-obese children Gut microbiome profiling 5‰\< BMI \<85 ‰ for children between the ages of 7 and 12 years
- Primary Outcome Measures
Name Time Method Correlation of fecal microbial profile with childhood obesity visit 1day Analysis of fecal microbial profile using 16s rRNA sequencing
Correlation of fecal microbial profile with nutrient intake data using feeding diary visit 1day Nutritional intake analysis of total calorie, carbohydrate, fiber, fat, and protein from feeding dairy for two days
- Secondary Outcome Measures
Name Time Method Correlation of childhood obesity with metabolic abnomalities using blood sampling visit 1day Glucose, AST, ALT, uric acid, triglyceride, HDL-cholesterol, LDL-cholesterol, total cholesterol, insulin, hsCRP, 25(OH)-Vitamin D3, hemoglobin, ferritin, and HbA1c
Trial Locations
- Locations (1)
Hallym University Kangnam Sacred Heart Hospital
🇰🇷Seoul, Korea, Republic of