- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03968003
- Original Trial
Impact of Dietary Fiber as Prebiotics on Intestinal Microbiota in Obese Thai Children
This study evaluates the changes in gut microbiota composition, body fat, children's eating behaviors, plasma amino acids, and satiety hormones (Peptide-YY and GLP-1) after a 6-month period in obese Thai children.
A total of 165 children, aged 7 to 15 years with a Body Mass Index (BMI) ≥ median + 2 standard deviation (SD), were randomized into three groups:
Group A (intervention group) received inulin daily.
Group B received an isocaloric maltodextrin placebo.
Group C received dietary fiber advice aimed to match age-appropriate recommendations.
Study Overview
Detailed Description
The prevalence of childhood obesity is increasing worldwide and is associated with gut microbiota dysbiosis, which affects energy regulation and systemic inflammation. Childhood obesity management typically involves lifestyle modifications, including dietary changes.
Prebiotics, such as inulin-type fructans, are non-digestible polysaccharides that can modulate the gut microbiota composition, specifically by stimulating the growth of beneficial bacteria like Bifidobacterium. This microbial shift may lead to the production of short-chain fatty acids (SCFAs), which play a role in host physiology and metabolic health.
This study aims to investigate the impact of inulin supplementation on the gut microbiota composition and various health parameters in obese Thai children. Participants were randomized into three groups:
Intervention group receiving inulin extracted from Thai Jerusalem artichoke.
Placebo group receiving isocaloric maltodextrin.
Control group receiving dietary fiber intake advice.
The study focuses on evaluating changes in gut microbial taxa using 16S rRNA gene sequencing and assessing secondary parameters including body composition and satiety hormones over a 6-month period.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
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Bangkok, Thailand, 10330
- Chulalongkorn University
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Children, age 7 to 15 years
- Body mass index (BMI) ≥ median + 2 Standard deviation (SD)
Exclusion Criteria:
- Underlying disease of syndromic obesity and monogenic obesity
- Endocrine causes of obesity (e.g. hypothyroidism, growth hormone deficiency)
- Use of drugs that influence appetite or body weight (e.g. corticosteroids)
- Attending other concurrent weight reduction programs
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Quadruple
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
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Experimental: Inulin
Group A consumed 10 g of inulin extracted from Thai Jerusalem artichoke by our patent technique (Patent no.
15858) administered once daily before dinner.
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The intervention group (group A) consumed 10 g of inulin extracted from Thai Jerusalem artichoke by our patent technique (Patent no.
15858) administered once daily before dinner.
The placebo group (group B) received isocaloric maltodextrin, while the dietary fiber advice group (group C) received guidance based on age-appropriate intake recommendations.
Other Names:
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Placebo Comparator: Maltodextrin
Group B received isocaloric maltodextrin.
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The intervention group (group A) consumed 10 g of inulin extracted from Thai Jerusalem artichoke by our patent technique (Patent no.
15858) administered once daily before dinner.
The placebo group (group B) received isocaloric maltodextrin, while the dietary fiber advice group (group C) received guidance based on age-appropriate intake recommendations.
Other Names:
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Active Comparator: Dietary fiber
Group C will receive dietary fiber advice aimed to match age-appropriate intake recommendations.
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The intervention group (group A) consumed 10 g of inulin extracted from Thai Jerusalem artichoke by our patent technique (Patent no.
15858) administered once daily before dinner.
The placebo group (group B) received isocaloric maltodextrin, while the dietary fiber advice group (group C) received guidance based on age-appropriate intake recommendations.
Other Names:
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Abundance (Z-score) of Bifidobacterium at Baseline and Month 6
Time Frame: Baseline and Month 6
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The relative abundance of Bifidobacterium was determined using 16S rRNA gene sequencing from stool samples.
The abundance values were then transformed into z-scores based on the distribution of the entire study population at baseline.
A z-score of 0 represents the mean abundance of the population, while positive or negative values indicate the number of standard deviations above or below the mean, respectively.
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Baseline and Month 6
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Change From Baseline in Fat Mass Index (FMI) and Fat-Free Mass Index (FFMI) at 6 Months
Time Frame: From the enrollment to the end of intervention at 6 months.
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Evaluation of body composition changes focusing on Fat Mass Index (FMI) and Fat-Free Mass Index (FFMI).
FMI and FFMI were calculated as the weight of fat mass or fat-free mass in kilograms divided by the square of height in meters (kg/m^2).
Values reported represent the change from baseline to 6 months.
A positive change value indicates an increase in the respective mass index from baseline, while a negative value indicates a decrease.
FFMI measures the amount of fat-free mass (including muscle) relative to height.
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From the enrollment to the end of intervention at 6 months.
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Change From Baseline in Children's Eating Behaviors and at 6 Months
Time Frame: From the enrollment to the end of intervention at 6 months.
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Change from baseline in Emotional Undereating (EUE) scores at 6 months.
EUE is a subscale of the Children's Eating Behavior Questionnaire (CEBQ), consisting of items scored on a 5-point Likert scale (1 = Never, 5 = Always).
The score for this subscale is calculated as the mean of its constituent items.
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From the enrollment to the end of intervention at 6 months.
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Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Change From Baseline in Interleukin-15 at 6 Months (Inulin Group)
Time Frame: From enrollment to the end of intervention at 6 months.
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Mean change in serum Interleukin-15 (IL-15) concentration from baseline to 6 months.
IL-15 was quantified using ELISA as part of an exploratory mechanistic analysis to investigate the gut-muscle axis.
For this specific exploratory assessment, data were analyzed for the inulin group to evaluate within-group changes.
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From enrollment to the end of intervention at 6 months.
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Change From Baseline in Creatinine/Cystatin C Ratio at 6 Months (Inulin Group)
Time Frame: From enrollment to the end of intervention at 6 months.
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This mechanistic exploratory analysis primarily focused on the inulin intervention group.
A small subset of participants from the placebo and dietary fiber groups (n=5 per group) was included for internal comparison.
Summary statistics are reported for the inulin group.
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From enrollment to the end of intervention at 6 months.
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Change From Baseline in Amino Acids and Biogenic Amines at 6 Months
Time Frame: From the enrollment to the end of intervention at 6 months
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Variable Importance in Projection (VIP) scores were derived from Orthogonal Projections to Latent Structures Discriminant Analysis (OPLS-DA) to assess the contribution of each metabolite to group separation.
VIP scores are continuous, non-negative values with a theoretical minimum of 0. There is no theoretical maximum or fixed upper limit for a VIP score.
A value greater than 1.0 is a universally accepted threshold indicating that a metabolite contributes significantly to the model's projection.
For this analysis, VIP scores are reported as single, group-level cumulative metrics derived directly from the overall multivariate OPLS-DA model.
Because these are model-derived descriptive values reflecting whole-group patterns rather than participant-level summary statistics, individual-level variance does not exist, and standard deviations are not applicable.
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From the enrollment to the end of intervention at 6 months
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Change From Baseline in Body Mass Index (BMI) Z-score at 6 Months
Time Frame: From the enrollment to the end of intervention at 6 months.
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Change in BMI Z-score from baseline to 6 months.
BMI Z-score (standard deviation score) was calculated based on age and sex using the WHO child growth standards.
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From the enrollment to the end of intervention at 6 months.
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Change From Baseline in Inflammatory Cytokines (IL-1β, TNF-α and IL-6) at 6 Months
Time Frame: From the enrollment to the end of intervention at 6 months.
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Changes in serum concentrations of Interleukin-1 beta (IL-1β), Tumor Necrosis Factor-alpha (TNF-α), and Interleukin-6 (IL-6) from baseline to 6 months, measured using ELISA.
These markers were assessed to evaluate the effect of the intervention on systemic inflammation.
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From the enrollment to the end of intervention at 6 months.
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Serum Peptide YY (PYY) at Baseline and 6 Months
Time Frame: Baseline and Month 6
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Serum concentrations of Peptide YY (PYY) measured at baseline and at the end of the 6-month intervention using ELISA.
The data are reported as the mean and standard deviation for each time point to evaluate the response of this appetite-regulating hormone to the intervention.
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Baseline and Month 6
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Serum Glucagon-like Peptide-1 (GLP-1) at Baseline and 6 Months
Time Frame: Baseline and Month 6
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Serum concentrations of Glucagon-like peptide-1 (GLP-1) measured at baseline and at the end of the 6-month intervention using ELISA.
The data are reported as the mean and standard deviation for each time point to assess changes in this satiety-related hormone.
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Baseline and Month 6
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Gut Microbiome Enterotype Classification at 6 Months
Time Frame: At 6 months
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Distribution of gut microbiota enterotypes (e.g., Bacteroides vs. Prevotella) among participants at 6 months, determined by clustering analysis of 16S rRNA sequencing data.
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At 6 months
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Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Chonnikant Visuthranukul, M.D., Chulalongkorn University
Publications and helpful links
General Publications
- Visuthranukul C, Sriswasdi S, Tepaamorndech S, Chamni S, Leelahavanichkul A, Joyjinda Y, Aksornkitti V, Chomtho S. Enhancing gut microbiota and microbial function with inulin supplementation in children with obesity. Int J Obes (Lond). 2024 Dec;48(12):1696-1704. doi: 10.1038/s41366-024-01590-8. Epub 2024 Jul 20.
- Panichsillaphakit E, Visuthranukul C, Chongpison Y, Chuaypen N, Kwanbunbumpen T, Uaariyapanichkul J, Chomtho S. The effects of inulin supplementation on eating behaviours in children and adolescents with obesity: a randomized double-blinded placebo-controlled study. Nutr Metab (Lond). 2025 Aug 12;22(1):97. doi: 10.1186/s12986-025-00995-0.
- Visuthranukul C, Leelahavanichkul A, Tepaamorndech S, Chamni S, Mekangkul E, Chomtho S. Inulin supplementation exhibits increased muscle mass via gut-muscle axis in children with obesity: double evidence from clinical and in vitro studies. Sci Rep. 2024 May 16;14(1):11181. doi: 10.1038/s41598-024-61781-1.
- Visuthranukul C, Sriswasdi S, Tepaamorndech S, Joyjinda Y, Saengpanit P, Kwanbunbumpen T, Panichsillaphakit E, Uaariyapanichkul J, Chomtho S. Association of Human Intestinal Microbiota with Lifestyle Activity, Adiposity, and Metabolic Profiles in Thai Children with Obesity. J Nutr Metab. 2022 May 20;2022:3029582. doi: 10.1155/2022/3029582. eCollection 2022.
- Visuthranukul C, Chamni S, Kwanbunbumpen T, Saengpanit P, Chongpison Y, Tepaamorndech S, Panichsillaphakit E, Uaariyapanichkul J, Nonpat N, Chomtho S. Effects of inulin supplementation on body composition and metabolic outcomes in children with obesity. Sci Rep. 2022 Jul 29;12(1):13014. doi: 10.1038/s41598-022-17220-0.
- Panichsillaphakit E, Chongpison Y, Saengpanit P, Kwanbunbumpen T, Uaariyapanichkul J, Chomtho S, Pancharoen C, Visuthranukul C. Children's Eating Behavior Questionnaire Correlated with Body Compositions of Thai Children and Adolescents with Obesity: A Pilot Study. J Nutr Metab. 2021 Jan 15;2021:6496134. doi: 10.1155/2021/6496134. eCollection 2021.
- Saengpanit P, Chomtho S, Sriswasdi S, Rodpan A, Joyjinda Y, Panichsillaphakit E, Uaariyapanichkul J, Tempark T, Bongsebandhu-phubhakdi C, Suteerojntrakool O, Visuthranukul C. Dietary fiber intake and its relationships with lipid profiles and gut microbiota in obese Thai children: a pilot study. J Med Assoc Thai . 2019;102:1282-8.
- Andriyas T, Sriswasdi S, Tansawat R, Uaariyapanichkul J, Chomtho S, Visuthranukul C. Inulin supplementation modulates gut microbiota derived metabolites related to brain function in children with obesity. Sci Rep. 2025 Oct 7;15(1):34843. doi: 10.1038/s41598-025-21079-2.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
- Nutrition Disorders
- Overnutrition
- Body Weight
- Overweight
- Pathological Conditions, Signs and Symptoms
- Nutritional and Metabolic Diseases
- Signs and Symptoms
- Obesity
- Dietary Carbohydrates
- Carbohydrates
- Polymers
- Macromolecular Substances
- Polysaccharides
- Starch
- Glucans
- Biopolymers
- Fructans
- maltodextrin
- Inulin
Other Study ID Numbers
- 639/2017
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- ICF
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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