NCT03261466

Brief Summary

Obesity is a major, public health concern that affects at least 400 million individuals and is associated with severe disorders including diabetes and cancers. Worldwide, the prevalence of overweight and obesity combined in children, adolescents and youth, between 1980 and 2013, increased to 47.1%, with alarming data also in developing countries. Obesity is often caused by imbalance between excessive caloric intake and reduced physical activity. Recently, microbial changes in the human gut was proposed to be another possible cause of obesity and it was found that the gut microbes from fecal samples contained 3.3 million non-redundant microbial genes. However, it is still poorly understood how the dynamics and composition of the intestinal microbiota are affected by diet or other lifestyle factors. Moreover it has been difficult to characterize the composition of the human gut microbiota due to large variations between individuals. The role of the digestive microbiota in the human body is still largely unknown, but the bacteria of the gut flora do contribute enzymes that are absent in humans for food digestion. Moreover, the link between obesity and the microbiota is likely to be more sophisticated than the simple phylum-level Bacteroidetes: Firmicutes ratio that was initially identified, and it is likely to involve a microbiota-diet interaction. Obese and lean subjects presented increased levels of different bacterial populations. It is hypothesized that the obese microbiome is set up to extract more calories from the daily intake when compared to the microbiome of lean counterparts. In addition, a caloric diet restriction impacted the composition of the gut microbiota in obese/overweight individuals and weight loss. In lean subjects there are Coriobacteriaceae, Lactobacillus, Enterococcus, Faecalibacterium prausnitzii, Prevotella, Clostridium Eubacterium, E. coli and Staphilococcus. By contrast, Bifidobacterium, Methanobrevibacter, Xylanibacter, Bacteroides characterize the composition of lean gut microbiota. For this reason, in a cohort of obese paediatric subjects with visceral adiposity, the aim of the study is to assess the efficacy of a supplementation with probiotic bifidobacteria with respect to a conventional treatment on weight loss and improvement of cardio-metabolic risk factors.

Trial Health

87
On Track

Trial Health Score

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

Enrollment
100

participants targeted

Target at P50-P75 for phase_4

Timeline
Completed

Started Nov 2013

Longer than P75 for phase_4

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

November 20, 2013

Completed
3.6 years until next milestone

First Submitted

Initial submission to the registry

July 14, 2017

Completed
1 month until next milestone

First Posted

Study publicly available on registry

August 25, 2017

Completed
2 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

October 30, 2017

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

October 30, 2017

Completed
Last Updated

January 11, 2018

Status Verified

January 1, 2018

Enrollment Period

3.9 years

First QC Date

July 14, 2017

Last Update Submit

January 10, 2018

Conditions

Keywords

obesitypaediatricprobiotic

Outcome Measures

Primary Outcomes (2)

  • Change in glucose level during oral glucose tolerance test (OGTT)

    Evaluate if after the treatment with probiotic there is a reduction of glucose values during the OGTT at time 0' e 120' after oral glucose tolerance test.

    Change from Baseline OGTT (V0) at 2 months (V1), 3 months (V2) and 5 months (V3)

  • Change in HOMA-IR index

    Evaluate if after the treatment with probiotic there is a variation of HOMA-IR index.

    Change from baseline HOMA-IR (V0) at 2 months (V1), 3 months (V2) and 5 months (V3)

Secondary Outcomes (3)

  • Metabolic control: Improvement of metabolic risk factors

    Change from baseline lipid profile, insulin, leptin, adiponectin, GLP1 (V0) at 2 months (V1), 3 months (V2) and 5 months (V3)

  • Change in fecal microbiome

    Change from Baseline fecal microbiome (V0) at 2 months (V1), 3 months (V2) and 5 months (V3)

  • Change in SCFA (short-chain fatty acids) in fecal samples

    Change from Baseline fecal SCFA (V0) at 2 months (V1), 3 months (V2) and 5 months (V3)

Other Outcomes (1)

  • Change in inflammatory cytokines

    Change from Baseline cytokines and metabolites (V0) at 2 months (V1), 3 months (V2) and 5 months (V3)

Study Arms (2)

Active group Bifidobacterium breve BR03 and B632

ACTIVE COMPARATOR

This arm will receive a supplementation of probiotic containing Bifidobacterium breve B632 and Bifidobacterium breve BR03, 15 gtt/die (3x108 CFU/die) once a day.

Drug: Bifidobacterium breve BR03 and Bifidobacterium breve B632

Placebo group

PLACEBO COMPARATOR

This arm will receive a supplementation with a same product equal to the active product but without bifidobacterium inside.

Drug: Placebos

Interventions

Also known as: probiotic
Active group Bifidobacterium breve BR03 and B632
Also known as: Placebo
Placebo group

Eligibility Criteria

Age6 Years - 18 Years
Sexall
Healthy VolunteersNo
Age GroupsChild (0-17), Adult (18-64)

You may qualify if:

  • both sexes
  • between 6 and 18 years of age
  • obese, according to the IOTF criteria (Cole TJ et al., 2000)
  • pubertal stage ≥ 2 according to the Tanner stage (Tanner et al., 1961)
  • HOMA-IR \> 2,5 or insulin \> 15 µU/ml

You may not qualify if:

  • Adverse reactions to the product or component of the product (allergies…)
  • Genetic obesity (Prader Willi syndrome, Down syndrome), Metabolic obesity (Laurence-biedl syndrome…), endocrinological obesity (Cushinch syndrome, hypotiroidism)
  • Chronic diseases, hepatic or gastroenterological diseases
  • Medical treatment for chronic diseases
  • Probiotic or prebiotic therapies and antibiotic treatment

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

AOU Maggiore della Carità - Clinica Pediatrica - Ambulatorio di Auxologia ed Endocrinologia Pediatrica

Novara, 28100, Italy

Location

Related Publications (26)

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MeSH Terms

Conditions

Pediatric ObesityObesity

Interventions

Probiotics

Condition Hierarchy (Ancestors)

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

Intervention Hierarchy (Ancestors)

Dietary SupplementsFoodDiet, Food, and NutritionPhysiological PhenomenaFood and Beverages

Study Design

Study Type
interventional
Phase
phase 4
Allocation
RANDOMIZED
Masking
QUADRUPLE
Who Masked
PARTICIPANT, CARE PROVIDER, INVESTIGATOR, OUTCOMES ASSESSOR
Masking Details
The study is a triple blind study in which the treatment or intervention is unknown to the research participant, the individuals who administer the treatment or intervention, and the researchers who assess the outcomes.
Purpose
TREATMENT
Intervention Model
CROSSOVER
Model Details: In the first part of the study (Study 1, V0-V1) patients will be randomized in a open-label, into two groups homogeneous for number and sex of the subjects. One group will receive a supplementation of probiotic containing Bifidobacterium breve B632 and Bifidobacterium breve BR03, 15 gtt/die (3x108 CFU/die) and one group will receive a placebo for a total of 2 months of treatment. For patients who wants to continue the study there will be a cross-over study (study 2, V2-V3) after one month of wash-out.
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Assoc. Professor in Clinical Nutrition

Study Record Dates

First Submitted

July 14, 2017

First Posted

August 25, 2017

Study Start

November 20, 2013

Primary Completion

October 30, 2017

Study Completion

October 30, 2017

Last Updated

January 11, 2018

Record last verified: 2018-01

Data Sharing

IPD Sharing
Will not share

Locations