Obesity, ChildhoodNCT03388411
Nutritional Intake and Gut Microbiome
An observational study of Obesity, Childhood, run by Hallym University Kangnam Sacred Heart Hospital at 1 site in South Korea.
Trial 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. Read more about this study
- Who is it for?
- Ages Up to 12 yearsHealthy volunteers can take part
- Conditions the study is for
- Obesity, Childhood
- What is being tested?
- Gut microbiome profiling
- How many people
- 61 participants
- Where
- 1 siteSouth Korea
- Study dates
- 18 Oct 2017to 12 Oct 2018
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages Up to 12 years
- All sexes
- Healthy volunteers accepted
- Child
Study population: Primary care clinic and community samples
Who may be able to join
- 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
Who cannot join
- 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
Trial locations and contacts
1 site in 1 country.
South Korea1 site
Hallym University Kangnam Sacred Heart Hospital
Seoul, 07440
About this study
Official title: Nutritional Intake, Metabolic Abnormalities and Gut Microbiome in Children
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.
- Conditions
- Obesity, Childhood
- Being tested
- Gut microbiome profiling
- Keywords
- Microbiome, Gut
- Medical subject headings
- Pediatric Obesity
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Gut microbiome profilingDiagnostic test
Also called 16s metagenomic analysis
Gut microbial profiling will be done with next-generation sequencing targeting bacterial 16s rRNA genes.
| Study group | Role | What they receive |
|---|---|---|
| Obese children | Children ≥95 ‰ between age 7 and 12 years Receives: Diagnostic Test: Gut microbiome profiling | |
| Non-obese children | 5‰< BMI <85 ‰ for children between the ages of 7 and 12 years Receives: Diagnostic Test: Gut microbiome profiling |
What is being measured
The primary outcome is the main question the study is designed to answer.
Correlation of fecal microbial profile with childhood obesity
Analysis of fecal microbial profile using 16s rRNA sequencing
Measured: 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
Measured: visit 1day
Secondary outcomes (1)
Correlation of childhood obesity with metabolic abnomalities using blood sampling
Glucose, AST, ALT, uric acid, triglyceride, HDL-cholesterol, LDL-cholesterol, total cholesterol, insulin, hsCRP, 25(OH)-Vitamin D3, hemoglobin, ferritin, and HbA1c
Measured: visit 1day
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted3 Jan 2018
- Study start18 Oct 2017
- Primary completion12 Oct 2018
- Study completion12 Oct 2018
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (13)Papers the sponsor has linked to this study.
- Other trials for Obesity, ChildhoodStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 61 participants (actual)
Sponsor and investigators
- Lead sponsor
- Hallym University Kangnam Sacred Heart Hospital
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Ky Young Cho, Hallym University Kangnam Sacred Heart Hospital
- Investigators
- Ky Young Cho, M.D., Principal investigator, Kangnam Sacred Heart Hospital, Hallym University College of Medicine
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT03388411
- Sponsor's protocol ID
- Gut microbiome
- Status last verified
- Feb 2019
- First submitted
- 19 Dec 2017
- Last updated
- 27 Feb 2019
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No: Study participants will only agree if IPD is not shared.
Publications
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.
PubMed 22424233Qin 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.
PubMed 20203603Eckburg 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.
PubMed 15831718Yun 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.
PubMed 28676106David 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.
PubMed 24336217Hu 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.
PubMed 26230509Cox 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.
PubMed 25066177Schwiertz 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.
PubMed 19498350Turnbaugh 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.
PubMed 18407065Jumpertz 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.
PubMed 21543530Pedersen 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.
PubMed 27409811Yoo 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.
PubMed 26999199Fadrosh 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.
PubMed 24558975
Study at a glance
From the registry record, last updated by the sponsor on 27 Feb 2019. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Nutritional Intake, Metabolic Abnormalities and Gut Microbiome in Children
- ClinicalTrials.gov ID
- NCT03388411
- Acronym / sponsor ID
- Gut microbiome
- Conditions
- Obesity, Childhood
- Keywords
- Microbiome, Gut
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 61 participants (actual)
- Lead sponsor
- Hallym University Kangnam Sacred Heart HospitalUniversity, hospital or other
- Study start
- 18 Oct 2017 (actual)
- Primary completion
- 12 Oct 2018 (actual)
- Study completion
- 12 Oct 2018 (actual)
- First posted
- 3 Jan 2018 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Obese children | – | Diagnostic Test: Gut microbiome profilingChildren ≥95 ‰ between age 7 and 12 years |
| Non-obese children | – | Diagnostic Test: Gut microbiome profiling5‰< BMI <85 ‰ for children between the ages of 7 and 12 years |
Who may qualify
- Ages
- Up to 12 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Child
- Study population
- Primary care clinic and community samples
Key inclusion criteria (2 listed)
- 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
Key exclusion criteria (4 listed)
- 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
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Gut microbiome profilingAlso: 16s metagenomic analysisGut microbial profiling will be done with next-generation sequencing targeting bacterial 16s rRNA genes. | Diagnostic test | Non-obese children, Obese children |
Primary outcome
Correlation of fecal microbial profile with childhood obesity
Time frame: visit 1day
Analysis of fecal microbial profile using 16s rRNA sequencing
Correlation of fecal microbial profile with nutrient intake data using feeding diary
Time frame: visit 1day
Nutritional intake analysis of total calorie, carbohydrate, fiber, fat, and protein from feeding dairy for two days
1 secondary outcome
Correlation of childhood obesity with metabolic abnomalities using blood sampling
Time frame: visit 1day
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 27 Feb 2019.
- Background: PubMed 22424233Clemente 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.
- Background: PubMed 20203603Qin 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.
- Background: PubMed 15831718Eckburg 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.
- Background: PubMed 28676106Yun 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.
- Background: PubMed 24336217David 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.
- Background: PubMed 26230509Hu 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.
- Background: PubMed 25066177Cox 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.
- Background: PubMed 19498350Schwiertz 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.
- Background: PubMed 18407065Turnbaugh 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.
- Background: PubMed 21543530Jumpertz 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.
- Background: PubMed 27409811Pedersen 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.
- Background: PubMed 26999199Yoo 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.
- Individual participant dataSharing planned: No. Study participants will only agree if IPD is not shared.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Ky Young Cho, M.D. principal investigator
Kangnam Sacred Heart Hospital, Hallym University College of Medicine
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Obesity, Childhood, run by Hallym University Kangnam Sacred Heart Hospital at 1 site in South Korea.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 2 inclusion and 4 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 27 Feb 2019. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in South Korea. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Correlation of fecal microbial profile with childhood obesity (time frame: visit 1day). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT03388411, which also lists 13 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 27 Feb 2019.