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Completed

NCT Number: NCT03968003

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.

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Key information

Age range

7 year–15 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Chulalongkorn University

Bangkok, 10330, Thailand

About this study

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.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

Inulin

Dietary Supplement

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: Maltodextrin

Primary outcomes

  1. Abundance (Z-score) of Bifidobacterium at Baseline and Month 6

    Time frame: Baseline and Month 6

    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.

Secondary outcomes

  1. 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.

    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.

  2. 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.

    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.

Other outcomes

  1. Change From Baseline in Interleukin-15 at 6 Months (Inulin Group)

    Time frame: From enrollment to the end of intervention at 6 months.

    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.

  2. 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.

    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.

  3. 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

    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.

  4. 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.

    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.

  5. 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.

    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.

  6. Serum Peptide YY (PYY) at Baseline and 6 Months

    Time frame: Baseline and Month 6

    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.

  7. Serum Glucagon-like Peptide-1 (GLP-1) at Baseline and 6 Months

    Time frame: Baseline and Month 6

    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.

  8. Gut Microbiome Enterotype Classification at 6 Months

    Time frame: At 6 months

    Distribution of gut microbiota enterotypes (e.g., Bacteroides vs. Prevotella) among participants at 6 months, determined by clustering analysis of 16S rRNA sequencing data.

Sponsors and collaborators

Lead sponsor

Chulalongkorn University

Other

Registry information

Important dates

Study start
2017
Primary completion
2020
Study completion
2020
First posted
May 30, 2019
Registry last updated
Jul 2, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

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This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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