Obesity, Childhood Clinical Trial
— BIFI-OBESEOfficial title:
BIFI-OBESE: Effect of Probiotic Bifidobacterium Breve BR03 and Bifidobacterium Breve B632 in Paediatric Obesity
Verified date | January 2018 |
Source | Azienda Ospedaliero Universitaria Maggiore della Carita |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
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.
Status | Completed |
Enrollment | 100 |
Est. completion date | October 30, 2017 |
Est. primary completion date | October 30, 2017 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 6 Years to 18 Years |
Eligibility |
Inclusion Criteria: 1. both sexes 2. between 6 and 18 years of age 3. obese, according to the IOTF criteria (Cole TJ et al., 2000) 4. pubertal stage = 2 according to the Tanner stage (Tanner et al., 1961) 5. HOMA-IR > 2,5 or insulin > 15 µU/ml Exclusion Criteria: 1. Adverse reactions to the product or component of the product (allergies…) 2. Genetic obesity (Prader Willi syndrome, Down syndrome), Metabolic obesity (Laurence-biedl syndrome…), endocrinological obesity (Cushinch syndrome, hypotiroidism) 3. Chronic diseases, hepatic or gastroenterological diseases 4. Medical treatment for chronic diseases 5. Probiotic or prebiotic therapies and antibiotic treatment |
Country | Name | City | State |
---|---|---|---|
Italy | AOU Maggiore della Carità - Clinica Pediatrica - Ambulatorio di Auxologia ed Endocrinologia Pediatrica | Novara |
Lead Sponsor | Collaborator |
---|---|
Azienda Ospedaliero Universitaria Maggiore della Carita |
Italy,
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* Note: There are 25 references in all — Click here to view all references
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Other | Change in inflammatory cytokines | Evaluate new citokines and metabolites that regulates hormone metabolism. | Change from Baseline cytokines and metabolites (V0) at 2 months (V1), 3 months (V2) and 5 months (V3) | |
Primary | 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) | |
Primary | 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 | Metabolic control: Improvement of metabolic risk factors | Evaluate any variation of serum lipids, leptin, adiponectin, GLP1 and insulin during OGTT. | Change from baseline lipid profile, insulin, leptin, adiponectin, GLP1 (V0) at 2 months (V1), 3 months (V2) and 5 months (V3) | |
Secondary | Change in fecal microbiome | Evaluate any variation of fecal microbiome | Change from Baseline fecal microbiome (V0) at 2 months (V1), 3 months (V2) and 5 months (V3) | |
Secondary | Change in SCFA (short-chain fatty acids) in fecal samples | Evaluate any variation of short-chain fatty acids in fecal samples | Change from Baseline fecal SCFA (V0) at 2 months (V1), 3 months (V2) and 5 months (V3) |
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