NCT03388411

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

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
61

participants targeted

Target at P25-P50 for all trials

Timeline
Completed

Started Oct 2017

Shorter than P25 for all trials

Geographic Reach
1 country

1 active site

Status
completed

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

Completed
2 months until next milestone

First Submitted

Initial submission to the registry

December 19, 2017

Completed
15 days until next milestone

First Posted

Study publicly available on registry

January 3, 2018

Completed
9 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

October 12, 2018

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

October 12, 2018

Completed
Last Updated

February 27, 2019

Status Verified

February 1, 2019

Enrollment Period

12 months

First QC Date

December 19, 2017

Last Update Submit

February 25, 2019

Conditions

Keywords

MicrobiomeGut

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

Diagnostic Test: Gut microbiome profiling

Non-obese children

5‰\< BMI \<85 ‰ for children between the ages of 7 and 12 years

Diagnostic Test: Gut microbiome profiling

Interventions

Gut microbial profiling will be done with next-generation sequencing targeting bacterial 16s rRNA genes.

Also known as: 16s metagenomic analysis
Non-obese childrenObese children

Eligibility Criteria

AgeUp to 12 Years
Sexall
Healthy VolunteersYes
Age GroupsChild (0-17)
Sampling MethodNon-Probability Sample
Study Population

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

Location

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: 22424233BACKGROUND
  • Qin 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: 20203603BACKGROUND
  • Eckburg 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: 15831718BACKGROUND
  • Yun 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: 28676106BACKGROUND
  • David 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: 24336217BACKGROUND
  • Hu 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: 26230509BACKGROUND
  • Cox 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: 25066177BACKGROUND
  • Schwiertz 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: 19498350BACKGROUND
  • Turnbaugh 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: 18407065BACKGROUND
  • Jumpertz 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: 21543530BACKGROUND
  • Pedersen 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: 27409811BACKGROUND
  • Yoo 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: 26999199BACKGROUND
  • Fadrosh 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

Retention: SAMPLES WITH DNA

Whole blood, serum, stool

MeSH Terms

Conditions

Pediatric Obesity

Condition Hierarchy (Ancestors)

ObesityOverweightOvernutritionNutrition DisordersNutritional and Metabolic DiseasesBody WeightSigns and SymptomsPathological Conditions, Signs and Symptoms

Study Officials

  • Ky Young Cho, M.D.

    Kangnam Sacred Heart Hospital, Hallym University College of Medicine

    PRINCIPAL INVESTIGATOR

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.

Locations