Obesity, ChildhoodPhase 4BIFI-OBESENCT03261466
BIFI-OBESE: Clinical Trial in Paediatric Obesity
A Phase 4 study testing Bifidobacterium breve BR03 and Bifidobacterium breve B632 in people with Obesity, Childhood, run by Azienda Ospedaliero Universitaria Maggiore della Carita at 1 site in Italy.
Trial 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… Read more about this study
- Who is it for?
- Ages 6 to 18 years
- Conditions the study is for
- Obesity, Childhood
- What is being tested?
- Bifidobacterium breve BR03 and Bifidobacterium breve B632
- Could I receive a placebo?
- Yes, some participants may receive a placebo
- How many people
- 100 participants
- Where
- 1 siteItaly
- Study dates
- 20 Nov 2013to 30 Oct 2017
- Phase
- Phase 4
- 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 6 to 18 years
- All sexes
- No healthy volunteers
- Child, Adult
Who may be able to join
- 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
Who cannot join
- 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
Trial locations and contacts
1 site in 1 country.
Italy1 site
AOU Maggiore della Carità - Clinica Pediatrica - Ambulatorio di Auxologia ed Endocrinologia Pediatrica
Novara, 28100
About this study
Official title: BIFI-OBESE: Effect of Probiotic Bifidobacterium Breve BR03 and Bifidobacterium Breve B632 in Paediatric Obesity
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.
Read more
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.
Read the detailed description
Study design: A single-center pilot open-label randomized control trial. Population: The study will comprise a total of 100 subjects of both sexes, between 6 and 18 years of age, obese, according to the IOTF criteria and with visceral adiposity, as waist circumference ≥ 90th percentile, pubertal stage ≥ 2 according to the Tanner stage, HOMA-IR > 2,5 or insulin > 15 µU/ml, diet naïve or with failure of weight loss (defined as -1 kg/m2 BMI in 1 year).
Inclusion/ Exclusion criteria (see Eligibility Criteria). Intervention: 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. Both group receives a Standard Diet according to routine care and practice. 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.
Dietary restriction: The standard diet will be distributed with 55-60% of carbohydrates (45-50% complex and no more than 10% refined and processed sugars), 25-30% lipids and 15% proteins, and will be performed in accordance with the calories of an isocaloric balanced diet calculated throughout the Italian LARN Guidelines for age and gender.
Physical activity: all subjects will receive general recommendations about performing physical activity. Exercise will be conducted daily and will consist of 30 minutes of aerobic physical activity.
Randomization: Participants will be randomly assigned in a 1:1 to probiotic intervention group or placebo group.
Timing: Patients will be evaluated firstly at time of enrollment (V0) and, at the end of the first part of study (Study 1, V1), biochemical evaluations will be completed. Next there will be one month of wash-out when the patients don't take any probiotic or placebo. In the second part of the study 2, patients will be evaluated at V2 and, after 2 months of treatment (Study 2, V3). The following anthropometric measures, biochemical and ultrasound evaluations and questionnaires will be obtained:
- Anthropometric measures:
- height (V0, V1, V2, V3);
- weight (V0, V1, V2, V3);
- body mass index (BMI; Kg/m2) (V0, V1, V2, V3);
- waist and hip circumferences (V0, V1, V2, V3) for the calculation of the following ratios: waist/hip, waist/height;
- Tanner stage (V0, V1, V2, V3);
- blood pressure and heart rate (V0, V1, V2, V3). Biochemical evaluations (after a 12-h overnight fast): CBC with formula, serum insulin-like growth factor 1 (IGF1, ng/mL), 25-hydroxy (OH) vitamin D (ng/mL), uric acid (mg/dL), alkaline phosphatase (U/L), ACTH (pg/mL), cortisol (microg/dL), TSH (uuI/mL), fT4 (ng/dL) (V0, V1, V2, V3); aspartate aminotransferase (AST, IU/L), alanine aminotransferase (ALT, IU/L); AST-to-ALT ratio will be calculated as the ratio of AST (IU/L) and ALT(IU/L) (V0, V1, V2, V3); serum creatinine concentration (mg/dL) will be measured with the enzymatic method; according to the NKF-K/DOQI Guidelines for CKD in children and adolescents, the eGFR will be calculated using updated Schwartz's formula: eGFR (mL/min/1.73 m2) = [0.413 x patient's height (cm)] / serum creatinine (mg/dL) (V0, V1, V2, V3); glucose (mg/dL), insulin (μUI/mL); insulin-resistance (IR) will be calculated using the formula of Homeostasis Model Assessment (HOMA)-IR: (insulin [mU/L] x glucose [mmol/lL) / 22.5) (V0, V1, V2, V3); lipid profile: total cholesterol (mg/dL), High-Density Lipoprotein (HDL)-cholesterol (mg/dL), triglycerides (mg/dL); Low-Density Lipoprotein (LDL)-cholesterol will be calculated by the Friedwald formula and non-HDL (nHDL)-cholesterol will be also calculated(V0, V1, V2, V3); oral glucose tolerance test (OGTT: 1.75 g of glucose solution per kg, maximum 75 g) and samples willbe collected for the determination of glucose and insulin every 30 min. The area under the curve (AUC) for parameters after OGTT will be calculated according to the trapezoidal rule. Insulin sensitivity at fasting and during OGTT will be calculated as the formula of the Quantitative Insulin-Sensitivity Check Index (QUICKI) and Matsuda index (ISI). The stimulus for insulin secretion in the increment in plasma glucose as insulinogenic index will be calculated as the ratio of the changes in insulin and glucose concentration from 0 to 30 min (InsI). Βeta-cell compensatory capacity will be evaluated by the disposition index defined as the product of the ISI and InsI (DI) (V0, V1, V2, V3); a collection at rest of first-morning urine sample. Physical and chemical urinalysis; urine albumin (mg/L) will be determined by an advanced immunoturbidimetric assay and urine creatinine (mg/dL) will be measured using the enzymatic method. Urine albumin to creatinine ratio (u-ACR - mg/g), will be calculated using the following formula: [urine albumin (mg/dL) / urine creatinine (mg/dL)] x 1000. For these calculations both albumin and creatinine will be in the same unit. The subjects whose urine will be found positive, they will undergo a collection of two more samples and will be considered the u-ACR mean value of these (V0, V1, V2, V3). A sample of feces will be taken for microbic count (V0, V1, V2, V3). LPS (V0, V1, V2, V3). LPS will be measured with commercial kits (Limulus amoebocyte lysate assay) with standard procedures. Citokines IL1, IL1β, IL6, IL10, TNFα will be evaluated (V0, V1, V2, V3) (ELISA kit).
- A health diary will be taken during the 2 months of treatment: each patient will complete the diary with collateral effects or antibiotic treatment ecc.
- NGS (Next Generation Sequencing) will be analized for fecal analysis (V0, V1, V2, V3)
- Metabolomic analysis will be taken with mass spectrometry on fecal samples (V0, V1, V2, V3)
- SCFA analysis on fecal samples (V0, V1, V2, V3).
Outcomes (see Outcome Measures). Information retrieval: A case report form (CRF) will be completed for each subject included in the study. The source documents will be the hospital's or the physician's chart.
Statistical e sample size: A sample of 16 individuals has been estimated to be sufficient to demonstrate a difference of 10 mg/dl in the basal glucose concentration with 90% power and a significance level of 95% and a drop-out rate of 10% at the 8th weeks of treatment. A sample of 34 individuals in each group has been estimated to be sufficient to demonstrate a difference of 1,4 point in the HOMA-IR index with 90% power and a significance level of 95% and a drop-out rate of 10% at the 8th weeks of treatment. Statistical significance will be assumed at P< 0.05. The statistical analysis will be performed with SPSS for Windows version 17.0 (SPSS Inc., Chicago, IL, USA).
Organization characteristics: The study will be conducted at the Pediatric Endocrine Service of Division of Pediatrics.
All blood samples will be measured evaluated using standardized methods in the Hospital's Chemistry Laboratory, in Maggiore della Carità hospital, in Novara, previously described. Fecal analysis will be measured in the Department of Sciences and Technologies, University of Bologna, in Bologna.
Good Clinical Practice: The protocol will be conducted in accordance with the declaration of Helsinki. Informed consent will be obtained from all parents prior to the evaluations after careful explanations to each patient.
- Conditions
- Obesity, Childhood
- Being tested
- Bifidobacterium breve BR03 and Bifidobacterium breve B632, Placebos
- Keywords
- obesity, paediatric, probiotic
- Medical subject headings
- Pediatric Obesity, Obesity
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Bifidobacterium breve BR03 and Bifidobacterium breve B632Drug
Also called probiotic
PlacebosDrug
Also called Placebo
| Study group | Role | What they receive |
|---|---|---|
| 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. Receives: 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. Receives: Drug: Placebos |
What is being measured
The primary outcome is the main question the study is designed to answer.
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.
Measured: 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.
Measured: 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
Evaluate any variation of serum lipids, leptin, adiponectin, GLP1 and insulin during OGTT.
Measured: 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
Evaluate any variation of fecal microbiome
Measured: 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
Evaluate any variation of short-chain fatty acids in fecal samples
Measured: Change from Baseline fecal SCFA (V0) at 2 months (V1), 3 months (V2) and 5 months (V3)
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted25 Aug 2017
- Study start20 Nov 2013
- Primary completion30 Oct 2017
- Study completion30 Oct 2017
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (26)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
- Interventional
- Phase
- Phase 4
- Primary purpose
- Treatment
- Allocation
- Randomised
- Intervention model
- Crossover
- Model description
- 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.
- Masking
- Quadruple blind
- Who is masked
- Participant, Care provider, Investigator, Outcomes assessor
- Enrolment
- 100 participants (actual)
Sponsor and investigators
- Lead sponsor
- Azienda Ospedaliero Universitaria Maggiore della Carita
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Flavia Prodam, Azienda Ospedaliero Universitaria Maggiore della Carita
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT03261466
- Sponsor's protocol ID
- CE 165/13
- Acronym
- BIFI-OBESE
- Status last verified
- Jan 2018
- First submitted
- 14 Jul 2017
- Last updated
- 11 Jan 2018
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
Raoult D. Obesity pandemics and the modification of digestive bacterial flora. Eur J Clin Microbiol Infect Dis. 2008 Aug;27(8):631-4. doi: 10.1007/s10096-008-0490-x. Epub 2008 Mar 6.
PubMed 18322715Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, Mullany EC, Biryukov S, Abbafati C, Abera SF, Abraham JP, Abu-Rmeileh NM, Achoki T, AlBuhairan FS, Alemu ZA, Alfonso R, Ali MK, Ali R, Guzman NA, Ammar W, Anwari P, Banerjee A, Barquera S, Basu S, Bennett DA, Bhutta Z, Blore J, Cabral N, Nonato IC, Chang JC, Chowdhury R, Courville KJ, Criqui MH, Cundiff DK, Dabhadkar KC, Dandona L, Davis A, Dayama A, Dharmaratne SD, Ding EL, Durrani AM, Esteghamati A, Farzadfar F, Fay DF, Feigin VL, Flaxman A, Forouzanfar MH, Goto A, Green MA, Gupta R, Hafezi-Nejad N, Hankey GJ, Harewood HC, Havmoeller R, Hay S, Hernandez L, Husseini A, Idrisov BT, Ikeda N, Islami F, Jahangir E, Jassal SK, Jee SH, Jeffreys M, Jonas JB, Kabagambe EK, Khalifa SE, Kengne AP, Khader YS, Khang YH, Kim D, Kimokoti RW, Kinge JM, Kokubo Y, Kosen S, Kwan G, Lai T, Leinsalu M, Li Y, Liang X, Liu S, Logroscino G, Lotufo PA, Lu Y, Ma J, Mainoo NK, Mensah GA, Merriman TR, Mokdad AH, Moschandreas J, Naghavi M, Naheed A, Nand D, Narayan KM, Nelson EL, Neuhouser ML, Nisar MI, Ohkubo T, Oti SO, Pedroza A, Prabhakaran D, Roy N, Sampson U, Seo H, Sepanlou SG, Shibuya K, Shiri R, Shiue I, Singh GM, Singh JA, Skirbekk V, Stapelberg NJ, Sturua L, Sykes BL, Tobias M, Tran BX, Trasande L, Toyoshima H, van de Vijver S, Vasankari TJ, Veerman JL, Velasquez-Melendez G, Vlassov VV, Vollset SE, Vos T, Wang C, Wang X, Weiderpass E, Werdecker A, Wright JL, Yang YC, Yatsuya H, Yoon J, Yoon SJ, Zhao Y, Zhou M, Zhu S, Lopez AD, Murray CJ, Gakidou E. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2014 Aug 30;384(9945):766-81. doi: 10.1016/S0140-6736(14)60460-8. Epub 2014 May 29.
PubMed 24880830Ley RE, Turnbaugh PJ, Klein S, Gordon JI. Microbial ecology: human gut microbes associated with obesity. Nature. 2006 Dec 21;444(7122):1022-3. doi: 10.1038/4441022a.
PubMed 17183309Qin 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 20203603Ley RE. Obesity and the human microbiome. Curr Opin Gastroenterol. 2010 Jan;26(1):5-11. doi: 10.1097/MOG.0b013e328333d751.
PubMed 19901833Turnbaugh PJ, Hamady M, Yatsunenko T, Cantarel BL, Duncan A, Ley RE, Sogin ML, Jones WJ, Roe BA, Affourtit JP, Egholm M, Henrissat B, Heath AC, Knight R, Gordon JI. A core gut microbiome in obese and lean twins. Nature. 2009 Jan 22;457(7228):480-4. doi: 10.1038/nature07540. Epub 2008 Nov 30.
PubMed 19043404Turnbaugh PJ, Ridaura VK, Faith JJ, Rey FE, Knight R, Gordon JI. The effect of diet on the human gut microbiome: a metagenomic analysis in humanized gnotobiotic mice. Sci Transl Med. 2009 Nov 11;1(6):6ra14. doi: 10.1126/scitranslmed.3000322.
PubMed 20368178Okeke F, Roland BC, Mullin GE. The role of the gut microbiome in the pathogenesis and treatment of obesity. Glob Adv Health Med. 2014 May;3(3):44-57. doi: 10.7453/gahmj.2014.018. No abstract available.
PubMed 24891993Turnbaugh PJ, Ley RE, Mahowald MA, Magrini V, Mardis ER, Gordon JI. An obesity-associated gut microbiome with increased capacity for energy harvest. Nature. 2006 Dec 21;444(7122):1027-31. doi: 10.1038/nature05414.
PubMed 17183312Ley RE, Backhed F, Turnbaugh P, Lozupone CA, Knight RD, Gordon JI. Obesity alters gut microbial ecology. Proc Natl Acad Sci U S A. 2005 Aug 2;102(31):11070-5. doi: 10.1073/pnas.0504978102. Epub 2005 Jul 20.
PubMed 16033867Schwiertz 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 19498350Fukuda S, Ohno H. Gut microbiome and metabolic diseases. Semin Immunopathol. 2014 Jan;36(1):103-14. doi: 10.1007/s00281-013-0399-z. Epub 2013 Nov 6.
PubMed 24196453Angelakis E, Armougom F, Million M, Raoult D. The relationship between gut microbiota and weight gain in humans. Future Microbiol. 2012 Jan;7(1):91-109. doi: 10.2217/fmb.11.142.
PubMed 22191449Cole TJ, Lobstein T. Extended international (IOTF) body mass index cut-offs for thinness, overweight and obesity. Pediatr Obes. 2012 Aug;7(4):284-94. doi: 10.1111/j.2047-6310.2012.00064.x. Epub 2012 Jun 19.
PubMed 22715120Cook S, Weitzman M, Auinger P, Nguyen M, Dietz WH. Prevalence of a metabolic syndrome phenotype in adolescents: findings from the third National Health and Nutrition Examination Survey, 1988-1994. Arch Pediatr Adolesc Med. 2003 Aug;157(8):821-7. doi: 10.1001/archpedi.157.8.821.
PubMed 12912790
Study at a glance
From the registry record, last updated by the sponsor on 11 Jan 2018. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- BIFI-OBESE: Effect of Probiotic Bifidobacterium Breve BR03 and Bifidobacterium Breve B632 in Paediatric Obesity
- ClinicalTrials.gov ID
- NCT03261466
- Acronym / sponsor ID
- BIFI-OBESE / CE 165/13
- Conditions
- Obesity, Childhood
- Keywords
- obesity, paediatric, probiotic
- Phase
- Phase 4
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 100 participants (actual)
- Lead sponsor
- Azienda Ospedaliero Universitaria Maggiore della CaritaUniversity, hospital or other
- Study start
- 20 Nov 2013 (actual)
- Primary completion
- 30 Oct 2017 (actual)
- Study completion
- 30 Oct 2017 (actual)
- First posted
- 25 Aug 2017 (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.
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.
Detailed description
Study design: A single-center pilot open-label randomized control trial. Population: The study will comprise a total of 100 subjects of both sexes, between 6 and 18 years of age, obese, according to the IOTF criteria and with visceral adiposity, as waist circumference ≥ 90th percentile, pubertal stage ≥ 2 according to the Tanner stage, HOMA-IR > 2,5 or insulin > 15 µU/ml, diet naïve or with failure of weight loss (defined as -1 kg/m2 BMI in 1 year).
Inclusion/ Exclusion criteria (see Eligibility Criteria). Intervention: 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. Both group receives a Standard Diet according to routine care and practice. 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.
Dietary restriction: The standard diet will be distributed with 55-60% of carbohydrates (45-50% complex and no more than 10% refined and processed sugars), 25-30% lipids and 15% proteins, and will be performed in accordance with the calories of an isocaloric balanced diet calculated throughout the Italian LARN Guidelines for age and gender.
Physical activity: all subjects will receive general recommendations about performing physical activity. Exercise will be conducted daily and will consist of 30 minutes of aerobic physical activity.
Randomization: Participants will be randomly assigned in a 1:1 to probiotic intervention group or placebo group.
Timing: Patients will be evaluated firstly at time of enrollment (V0) and, at the end of the first part of study (Study 1, V1), biochemical evaluations will be completed. Next there will be one month of wash-out when the patients don't take any probiotic or placebo. In the second part of the study 2, patients will be evaluated at V2 and, after 2 months of treatment (Study 2, V3). The following anthropometric measures, biochemical and ultrasound evaluations and questionnaires will be obtained:
- Anthropometric measures:
- height (V0, V1, V2, V3);
- weight (V0, V1, V2, V3);
- body mass index (BMI; Kg/m2) (V0, V1, V2, V3);
- waist and hip circumferences (V0, V1, V2, V3) for the calculation of the following ratios: waist/hip, waist/height;
- Tanner stage (V0, V1, V2, V3);
- blood pressure and heart rate (V0, V1, V2, V3). Biochemical evaluations (after a 12-h overnight fast): CBC with formula, serum insulin-like growth factor 1 (IGF1, ng/mL), 25-hydroxy (OH) vitamin D (ng/mL), uric acid (mg/dL), alkaline phosphatase (U/L), ACTH (pg/mL), cortisol (microg/dL), TSH (uuI/mL), fT4 (ng/dL) (V0, V1, V2, V3); aspartate aminotransferase (AST, IU/L), alanine aminotransferase (ALT, IU/L); AST-to-ALT ratio will be calculated as the ratio of AST (IU/L) and ALT(IU/L) (V0, V1, V2, V3); serum creatinine concentration (mg/dL) will be measured with the enzymatic method; according to the NKF-K/DOQI Guidelines for CKD in children and adolescents, the eGFR will be calculated using updated Schwartz's formula: eGFR (mL/min/1.73 m2) = [0.413 x patient's height (cm)] / serum creatinine (mg/dL) (V0, V1, V2, V3); glucose (mg/dL), insulin (μUI/mL); insulin-resistance (IR) will be calculated using the formula of Homeostasis Model Assessment (HOMA)-IR: (insulin [mU/L] x glucose [mmol/lL) / 22.5) (V0, V1, V2, V3); lipid profile: total cholesterol (mg/dL), High-Density Lipoprotein (HDL)-cholesterol (mg/dL), triglycerides (mg/dL); Low-Density Lipoprotein (LDL)-cholesterol will be calculated by the Friedwald formula and non-HDL (nHDL)-cholesterol will be also calculated(V0, V1, V2, V3); oral glucose tolerance test (OGTT: 1.75 g of glucose solution per kg, maximum 75 g) and samples willbe collected for the determination of glucose and insulin every 30 min. The area under the curve (AUC) for parameters after OGTT will be calculated according to the trapezoidal rule. Insulin sensitivity at fasting and during OGTT will be calculated as the formula of the Quantitative Insulin-Sensitivity Check Index (QUICKI) and Matsuda index (ISI). The stimulus for insulin secretion in the increment in plasma glucose as insulinogenic index will be calculated as the ratio of the changes in insulin and glucose concentration from 0 to 30 min (InsI). Βeta-cell compensatory capacity will be evaluated by the disposition index defined as the product of the ISI and InsI (DI) (V0, V1, V2, V3); a collection at rest of first-morning urine sample. Physical and chemical urinalysis; urine albumin (mg/L) will be determined by an advanced immunoturbidimetric assay and urine creatinine (mg/dL) will be measured using the enzymatic method. Urine albumin to creatinine ratio (u-ACR - mg/g), will be calculated using the following formula: [urine albumin (mg/dL) / urine creatinine (mg/dL)] x 1000. For these calculations both albumin and creatinine will be in the same unit. The subjects whose urine will be found positive, they will undergo a collection of two more samples and will be considered the u-ACR mean value of these (V0, V1, V2, V3). A sample of feces will be taken for microbic count (V0, V1, V2, V3). LPS (V0, V1, V2, V3). LPS will be measured with commercial kits (Limulus amoebocyte lysate assay) with standard procedures. Citokines IL1, IL1β, IL6, IL10, TNFα will be evaluated (V0, V1, V2, V3) (ELISA kit).
- A health diary will be taken during the 2 months of treatment: each patient will complete the diary with collateral effects or antibiotic treatment ecc.
- NGS (Next Generation Sequencing) will be analized for fecal analysis (V0, V1, V2, V3)
- Metabolomic analysis will be taken with mass spectrometry on fecal samples (V0, V1, V2, V3)
- SCFA analysis on fecal samples (V0, V1, V2, V3).
Outcomes (see Outcome Measures). Information retrieval: A case report form (CRF) will be completed for each subject included in the study. The source documents will be the hospital's or the physician's chart.
Statistical e sample size: A sample of 16 individuals has been estimated to be sufficient to demonstrate a difference of 10 mg/dl in the basal glucose concentration with 90% power and a significance level of 95% and a drop-out rate of 10% at the 8th weeks of treatment. A sample of 34 individuals in each group has been estimated to be sufficient to demonstrate a difference of 1,4 point in the HOMA-IR index with 90% power and a significance level of 95% and a drop-out rate of 10% at the 8th weeks of treatment. Statistical significance will be assumed at P< 0.05. The statistical analysis will be performed with SPSS for Windows version 17.0 (SPSS Inc., Chicago, IL, USA).
Organization characteristics: The study will be conducted at the Pediatric Endocrine Service of Division of Pediatrics.
All blood samples will be measured evaluated using standardized methods in the Hospital's Chemistry Laboratory, in Maggiore della Carità hospital, in Novara, previously described. Fecal analysis will be measured in the Department of Sciences and Technologies, University of Bologna, in Bologna.
Good Clinical Practice: The protocol will be conducted in accordance with the declaration of Helsinki. Informed consent will be obtained from all parents prior to the evaluations after careful explanations to each patient.
Study design
- Primary purpose
- Treatment
- Allocation
- Randomised
- Intervention model
- Crossover
- Masking
- Quadruple blind (participant, care provider, investigator, outcomes assessor)
- Number of arms
- 2
- Model description
- 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.
| Arm | Type | Receives |
|---|---|---|
| Active group Bifidobacterium breve BR03 and B632 | Active comparator | Drug: Bifidobacterium breve BR03 and Bifidobacterium breve B632This arm will receive a supplementation of probiotic containing Bifidobacterium breve B632 and Bifidobacterium breve BR03, 15 gtt/die (3x108 CFU/die) once a day. |
| Placebo group | Placebo comparator | Drug: PlacebosThis arm will receive a supplementation with a same product equal to the active product but without bifidobacterium inside. |
Who may qualify
- Ages
- 6 to 18 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Child, Adult
Key inclusion criteria (5 listed)
- 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
Key exclusion criteria (5 listed)
- 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
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 |
|---|---|---|
| Bifidobacterium breve BR03 and Bifidobacterium breve B632Also: probiotic | Drug | Active group Bifidobacterium breve BR03 and B632 |
| PlacebosAlso: Placebo | Drug | Placebo group |
Primary outcome
Change in glucose level during oral glucose tolerance test (OGTT)
Time frame: Change from Baseline OGTT (V0) at 2 months (V1), 3 months (V2) and 5 months (V3)
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 in HOMA-IR index
Time frame: Change from baseline HOMA-IR (V0) at 2 months (V1), 3 months (V2) and 5 months (V3)
Evaluate if after the treatment with probiotic there is a variation of HOMA-IR index.
3 secondary outcomes
Metabolic control: Improvement of metabolic risk factors
Time frame: 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
Time frame: 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
Time frame: Change from Baseline fecal SCFA (V0) at 2 months (V1), 3 months (V2) and 5 months (V3)
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 11 Jan 2018.
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- Background: PubMed 24880830Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, Mullany EC, Biryukov S, Abbafati C, Abera SF, Abraham JP, Abu-Rmeileh NM, Achoki T, AlBuhairan FS, Alemu ZA, Alfonso R, Ali MK, Ali R, Guzman NA, Ammar W, Anwari P, Banerjee A, Barquera S, Basu S, Bennett DA, Bhutta Z, Blore J, Cabral N, Nonato IC, Chang JC, Chowdhury R, Courville KJ, Criqui MH, Cundiff DK, Dabhadkar KC, Dandona L, Davis A, Dayama A, Dharmaratne SD, Ding EL, Durrani AM, Esteghamati A, Farzadfar F, Fay DF, Feigin VL, Flaxman A, Forouzanfar MH, Goto A, Green MA, Gupta R, Hafezi-Nejad N, Hankey GJ, Harewood HC, Havmoeller R, Hay S, Hernandez L, Husseini A, Idrisov BT, Ikeda N, Islami F, Jahangir E, Jassal SK, Jee SH, Jeffreys M, Jonas JB, Kabagambe EK, Khalifa SE, Kengne AP, Khader YS, Khang YH, Kim D, Kimokoti RW, Kinge JM, Kokubo Y, Kosen S, Kwan G, Lai T, Leinsalu M, Li Y, Liang X, Liu S, Logroscino G, Lotufo PA, Lu Y, Ma J, Mainoo NK, Mensah GA, Merriman TR, Mokdad AH, Moschandreas J, Naghavi M, Naheed A, Nand D, Narayan KM, Nelson EL, Neuhouser ML, Nisar MI, Ohkubo T, Oti SO, Pedroza A, Prabhakaran D, Roy N, Sampson U, Seo H, Sepanlou SG, Shibuya K, Shiri R, Shiue I, Singh GM, Singh JA, Skirbekk V, Stapelberg NJ, Sturua L, Sykes BL, Tobias M, Tran BX, Trasande L, Toyoshima H, van de Vijver S, Vasankari TJ, Veerman JL, Velasquez-Melendez G, Vlassov VV, Vollset SE, Vos T, Wang C, Wang X, Weiderpass E, Werdecker A, Wright JL, Yang YC, Yatsuya H, Yoon J, Yoon SJ, Zhao Y, Zhou M, Zhu S, Lopez AD, Murray CJ, Gakidou E. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2014 Aug 30;384(9945):766-81. doi: 10.1016/S0140-6736(14)60460-8. Epub 2014 May 29.
- Background: PubMed 17183309Ley RE, Turnbaugh PJ, Klein S, Gordon JI. Microbial ecology: human gut microbes associated with obesity. Nature. 2006 Dec 21;444(7122):1022-3. doi: 10.1038/4441022a.
- 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 19901833Ley RE. Obesity and the human microbiome. Curr Opin Gastroenterol. 2010 Jan;26(1):5-11. doi: 10.1097/MOG.0b013e328333d751.
- Background: PubMed 19043404Turnbaugh PJ, Hamady M, Yatsunenko T, Cantarel BL, Duncan A, Ley RE, Sogin ML, Jones WJ, Roe BA, Affourtit JP, Egholm M, Henrissat B, Heath AC, Knight R, Gordon JI. A core gut microbiome in obese and lean twins. Nature. 2009 Jan 22;457(7228):480-4. doi: 10.1038/nature07540. Epub 2008 Nov 30.
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- Individual participant dataSharing planned: No
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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.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A Phase 4 study testing Bifidobacterium breve BR03 and Bifidobacterium breve B632 in people with Obesity, Childhood, run by Azienda Ospedaliero Universitaria Maggiore della Carita at 1 site in Italy.
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 5 inclusion and 5 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 11 Jan 2018. 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 Italy. 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. Some participants in this study may receive a placebo. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
What does this phase mean?
Phase 4 studies take place after a treatment is approved, to learn more about its long-term benefits and risks in everyday use.
Not every study follows the same path, and some studies (observational studies, device studies) have no phase.
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?
Change in glucose level during oral glucose tolerance test (OGTT) (time frame: Change from Baseline OGTT (V0) at 2 months (V1), 3 months (V2) and 5 months (V3)). 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 NCT03261466, which also lists 26 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 11 Jan 2018.