Nutritional Intake and Gut Microbiome
Nutritional Intake, Metabolic Abnormalities and Gut Microbiome in Children
1 other identifier
observational
61
1 country
1
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for all trials
Started Oct 2017
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
October 18, 2017
CompletedFirst Submitted
Initial submission to the registry
December 19, 2017
CompletedFirst Posted
Study publicly available on registry
January 3, 2018
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 12, 2018
CompletedStudy Completion
Last participant's last visit for all outcomes
October 12, 2018
CompletedFebruary 27, 2019
February 1, 2019
12 months
December 19, 2017
February 25, 2019
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Correlation of fecal microbial profile with childhood obesity
Analysis of fecal microbial profile using 16s rRNA sequencing
visit 1day
Correlation of fecal microbial profile with nutrient intake data using feeding diary
Nutritional intake analysis of total calorie, carbohydrate, fiber, fat, and protein from feeding dairy for two days
visit 1day
Secondary Outcomes (1)
Correlation of childhood obesity with metabolic abnomalities using blood sampling
visit 1day
Study Arms (2)
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
Interventions
Gut microbial profiling will be done with next-generation sequencing targeting bacterial 16s rRNA genes.
Eligibility Criteria
Primary care clinic and community samples
You may qualify if:
- 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
You may not qualify if:
- 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
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Hallym University Kangnam Sacred Heart Hospital
Seoul, 07440, South Korea
Related Publications (13)
Clemente JC, Ursell LK, Parfrey LW, Knight R. The impact of the gut microbiota on human health: an integrative view. Cell. 2012 Mar 16;148(6):1258-70. doi: 10.1016/j.cell.2012.01.035.
PMID: 22424233BACKGROUNDQin J, Li R, Raes J, Arumugam M, Burgdorf KS, Manichanh C, Nielsen T, Pons N, Levenez F, Yamada T, Mende DR, Li J, Xu J, Li S, Li D, Cao J, Wang B, Liang H, Zheng H, Xie Y, Tap J, Lepage P, Bertalan M, Batto JM, Hansen T, Le Paslier D, Linneberg A, Nielsen HB, Pelletier E, Renault P, Sicheritz-Ponten T, Turner K, Zhu H, Yu C, Li S, Jian M, Zhou Y, Li Y, Zhang X, Li S, Qin N, Yang H, Wang J, Brunak S, Dore J, Guarner F, Kristiansen K, Pedersen O, Parkhill J, Weissenbach J; MetaHIT Consortium; Bork P, Ehrlich SD, Wang J. A human gut microbial gene catalogue established by metagenomic sequencing. Nature. 2010 Mar 4;464(7285):59-65. doi: 10.1038/nature08821.
PMID: 20203603BACKGROUNDEckburg PB, Bik EM, Bernstein CN, Purdom E, Dethlefsen L, Sargent M, Gill SR, Nelson KE, Relman DA. Diversity of the human intestinal microbial flora. Science. 2005 Jun 10;308(5728):1635-8. doi: 10.1126/science.1110591. Epub 2005 Apr 14.
PMID: 15831718BACKGROUNDYun Y, Kim HN, Kim SE, Heo SG, Chang Y, Ryu S, Shin H, Kim HL. Comparative analysis of gut microbiota associated with body mass index in a large Korean cohort. BMC Microbiol. 2017 Jul 4;17(1):151. doi: 10.1186/s12866-017-1052-0.
PMID: 28676106BACKGROUNDDavid LA, Maurice CF, Carmody RN, Gootenberg DB, Button JE, Wolfe BE, Ling AV, Devlin AS, Varma Y, Fischbach MA, Biddinger SB, Dutton RJ, Turnbaugh PJ. Diet rapidly and reproducibly alters the human gut microbiome. Nature. 2014 Jan 23;505(7484):559-63. doi: 10.1038/nature12820. Epub 2013 Dec 11.
PMID: 24336217BACKGROUNDHu HJ, Park SG, Jang HB, Choi MK, Park KH, Kang JH, Park SI, Lee HJ, Cho SH. Obesity Alters the Microbial Community Profile in Korean Adolescents. PLoS One. 2015 Jul 31;10(7):e0134333. doi: 10.1371/journal.pone.0134333. eCollection 2015.
PMID: 26230509BACKGROUNDCox AJ, West NP, Cripps AW. Obesity, inflammation, and the gut microbiota. Lancet Diabetes Endocrinol. 2015 Mar;3(3):207-15. doi: 10.1016/S2213-8587(14)70134-2. Epub 2014 Jul 22.
PMID: 25066177BACKGROUNDSchwiertz A, Taras D, Schafer K, Beijer S, Bos NA, Donus C, Hardt PD. Microbiota and SCFA in lean and overweight healthy subjects. Obesity (Silver Spring). 2010 Jan;18(1):190-5. doi: 10.1038/oby.2009.167. Epub 2009 Jun 4.
PMID: 19498350BACKGROUNDTurnbaugh PJ, Backhed F, Fulton L, Gordon JI. Diet-induced obesity is linked to marked but reversible alterations in the mouse distal gut microbiome. Cell Host Microbe. 2008 Apr 17;3(4):213-23. doi: 10.1016/j.chom.2008.02.015.
PMID: 18407065BACKGROUNDJumpertz R, Le DS, Turnbaugh PJ, Trinidad C, Bogardus C, Gordon JI, Krakoff J. Energy-balance studies reveal associations between gut microbes, caloric load, and nutrient absorption in humans. Am J Clin Nutr. 2011 Jul;94(1):58-65. doi: 10.3945/ajcn.110.010132. Epub 2011 May 4.
PMID: 21543530BACKGROUNDPedersen HK, Gudmundsdottir V, Nielsen HB, Hyotylainen T, Nielsen T, Jensen BA, Forslund K, Hildebrand F, Prifti E, Falony G, Le Chatelier E, Levenez F, Dore J, Mattila I, Plichta DR, Poho P, Hellgren LI, Arumugam M, Sunagawa S, Vieira-Silva S, Jorgensen T, Holm JB, Trost K; MetaHIT Consortium; Kristiansen K, Brix S, Raes J, Wang J, Hansen T, Bork P, Brunak S, Oresic M, Ehrlich SD, Pedersen O. Human gut microbes impact host serum metabolome and insulin sensitivity. Nature. 2016 Jul 21;535(7612):376-81. doi: 10.1038/nature18646. Epub 2016 Jul 13.
PMID: 27409811BACKGROUNDYoo JY, Kim SS. Probiotics and Prebiotics: Present Status and Future Perspectives on Metabolic Disorders. Nutrients. 2016 Mar 18;8(3):173. doi: 10.3390/nu8030173.
PMID: 26999199BACKGROUNDFadrosh DW, Ma B, Gajer P, Sengamalay N, Ott S, Brotman RM, Ravel J. An improved dual-indexing approach for multiplexed 16S rRNA gene sequencing on the Illumina MiSeq platform. Microbiome. 2014 Feb 24;2(1):6. doi: 10.1186/2049-2618-2-6.
PMID: 24558975BACKGROUND
Biospecimen
Whole blood, serum, stool
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Ky Young Cho, M.D.
Kangnam Sacred Heart Hospital, Hallym University College of Medicine
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Clinical Professor
Study Record Dates
First Submitted
December 19, 2017
First Posted
January 3, 2018
Study Start
October 18, 2017
Primary Completion
October 12, 2018
Study Completion
October 12, 2018
Last Updated
February 27, 2019
Record last verified: 2019-02
Data Sharing
- IPD Sharing
- Will not share
Study participants will only agree if IPD is not shared.