- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05358301
Targeting Obesity With the Probiotic Lactiplantibacillus Plantarum IMC 510 (PRO-Weight-Control Study)
Novel Strategies for Obesity Prevention and Management With the Probiotic Lactiplantibacillus Plantarum IMC 510 (PRO-Weight-Control Study)
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Background
Obesity is a multifactorial disease characterized by a chronic imbalance between energy intake and energy expenditure. Risk factors for weight excess are genetic, metabolic, hormonal, psychological, and social, as well as factors related to diet, sedentary lifestyle, and medication intake. Obesity is associated with an increased risk of onset of several metabolic diseases (high blood pressure, dyslipidemia, diabetes mellitus, metabolic syndrome), cardiovascular diseases (cerebral strokes, myocardial infarction), gastrointestinal diseases (esophageal reflux, cholelithiasis, pancreatitis, hepatopathy), respiratory diseases (apnea, respiratory failure), cancer (higher incidence of cancer and worsening of prognosis), osteoarticular diseases (osteoporosis, osteoarthritis), psychological diseases (depression, low self-esteem, relationship problems).
In recent decades, the prevalence of obesity has reached epidemic proportions. In fact, current data estimate that approximately 600 million people worldwide are obese, with an additional 1.9 billion overweight. Moreover, recent trend analyses show that the number of individuals who are overweight or obese continues to increase worldwide.
Advances in recent research have allowed for better characterization of the etiology of obesity, highlighting the potential contribution of factors not traditionally considered to be involved in changes in energy balance and body composition. Experimental and clinical studies have also demonstrated the role of the gut microbiota in the regulation of energy balance and the occurrence of excess body weight. In this regard, it has been suggested that lean and obese human subjects differ in the composition of their gut microbiota, and that probiotics and prebiotics can be used to modify the microbiota to prevent body weight gain. The bidirectional gut-brain connection allows signals from the brain to influence motility, appetite sensations, secretions, and permeability of the gut. Studies have demonstrated the role and importance of the gut microbiota in modulating central nervous system activity, so some gut messages may influence brain functions involved in the regulation of stress, depression, and anxiety, which are closely related to obesity. Consequently, the gut microbiota is a potential modifiable target for the prevention and/or treatment of obesity. In fact, the gut microbiota has recently been shown to play a complex role in body weight regulation and some probiotic strains have been able to ameliorate obesity status and related metabolic disorders. Preliminary data showed that obese rats treated with probiotics containing the probiotic strain Lactiplantibacillus Plantarum IMC 510 exhibited significantly lower weight and food intake than untreated obese rats.
Oral administration of probiotics has been proposed as a viable way to modulate/modify the gut ecosystem to promote weight reduction; however, the mechanisms by which probiotic supplementation may affect the gut microbiota of obese individuals are largely unknown. In addition, byproducts of the bacterial fermentation process may also reduce appetite and increase feelings of satiety, and through modulation of bile acid metabolism, the microbiota may reduce diet-induced obesity through increased energy expenditure. In addition, gut bacteria can manipulate an individual's taste and food preferences.
Over the past 25 years, more than 120 drugs have been studied for the treatment of obesity, but only very few have been approved and maintained on the market. Although exercise and diet are the first lines of intervention in correcting overweight, obesity and related metabolic diseases, because they are measures that must be adopted and followed for a long period of time, often experience failure or poor outcomes. Currently there is an increased interest in alternative and effective short term non-pharmacological approaches to weight control that involve the use of natural active ingredients. The use of specific probiotics could represent the future weapon to fight obesity through the modulation of the intestinal microbiota, which is becoming more and more important as a critical point both for the appearance of many diseases (if altered) and for the possibility of curing them by intervening to restore the intestinal flora.
Objectives of the study
The present clinical study is directed to the evaluation of the efficacy of a probiotic formulation containing the probiotic strain Lactiplantibacillus Plantarum IMC 510 in inducing and supporting weight loss and reduction of body circumferences in overweight or obese subjects through the regularization of appetite with consequent reduction of food intake.
Primary Objectives:
1) To evaluate weight reduction in obese and/or overweight subjects after 3 months of treatment with probiotic or placebo.
Secondary Objectives:
- Collection of blood and fecal samples at recruitment, after 3 months of treatment (probiotic or placebo), and after a 1-month final wash out.
- Measurement of BMI, body circumferences, body composition such as fat mass, lean mass, after 3 months of probiotic or placebo treatment, and after 1 month of wash out
- Evaluation of general well-being, eating habits and any gastrointestinal symptoms
- Comparison of hematological and biochemical parameters related to obesity at baseline, after 3 months of probiotic or placebo intervention, and after 1 month of washout
- Analysis of the composition of the intestinal microbiota and the production of short-chain fatty acids (SCFA) and bile acids (FBA).
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
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Florence, Italy, 50134
- Unit of Clinical Nutrition, University Hospital of Careggi
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Men and women 18-65 years of age
- Obesity (BMI >30 kg/m2, class I, II, III) and overweight (BMI 25-29.9 kg/m2)
- Willingness to cooperate during the study and ability to follow guidelines
- Willingness to complete questionnaires and diaries associated with the study and to complete all clinical visits
- Willingness to discontinue functional foods and dietary supplements with probiotics, laxatives and body weight control substances
- Ability to provide informed consent
Exclusion Criteria:
- Continued use of probiotics in the two months prior to treatment
- Use of other treatments (medications or nutritional programs) that affect body weight, food intake and/or energy expenditure
- Postmenopausal women
- Pregnant or lactating
- Enrolled in another obesity treatment program
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: Probiotic
Probiotic food supplement produced by SYNBIOTEC S.r.l.
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Probiotic food supplement produced by SYNBIOTEC S.r.l.
Each capsule of SYNBIO®slim contains the probiotic strain Lactiplantibacillus Plantarum IMC 510 at a concentration of 15 billion live cells (CFU/capsule).
The assumption is of n°1 capsule/day, preferably at breakfast, for 3 months.
The capsules can be opened and their content can be dispersed in a cold liquid or at intake temperature or in semi-solid food.
Always store in original container or in a clean covered container, out of the reach of children.
When stored in a dry, clean environment, out of direct sunlight, the product has a shelf-life of at least 24 months.
Samples of probiotic supplement in closed and sealed boxes will be provided to subjects participating at the beginning of the study, in quantities sufficient for the entire duration of the study (90 capsules for 3 months).
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Placebo Comparator: Placebo
Placebo food supplement.
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N°1 capsule/day of placebo food supplement (i.e., capsules without added probiotics), with the same intake modalities as probiotic.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Body weight
Time Frame: 2 months
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Changes of body weight from baseline assessed through a balance
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2 months
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Fat mass
Time Frame: 2 months
|
Changes of fat mass from baseline assessed through a bioelectrical impedance analysis device (BIA Akern, 101 Sport Edition).
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2 months
|
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Fat-free mass
Time Frame: 2 months
|
Changes of fat-free mass from baseline assessed through a bioelectrical impedance analysis device (BIA Akern, 101 Sport Edition).
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2 months
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Total body water
Time Frame: 2 months
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Changes of total body water from baseline assessed through a bioelectrical impedance analysis device (BIA Akern, 101 Sport Edition).
|
2 months
|
|
White blood cells
Time Frame: 2 months
|
Changes of white blood cells from baseline assessed to standard laboratory procedures.
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2 months
|
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Red blood cells
Time Frame: 2 months
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Changes of red blood cells from baseline assessed to standard laboratory procedures.
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2 months
|
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Hemoglobin
Time Frame: 2 months
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Changes of hemoglobin from baseline assessed to standard laboratory procedures.
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2 months
|
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Glucose
Time Frame: 2 months
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Changes of glucose from baseline assessed to standard laboratory procedures.
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2 months
|
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Urea
Time Frame: 2 months
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Changes of urea from baseline assessed to standard laboratory procedures.
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2 months
|
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Creatinine
Time Frame: 2 months
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Changes of creatinine from baseline assessed to standard laboratory procedures.
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2 months
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Sodium
Time Frame: 2 months
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Changes of sodium from baseline assessed to standard laboratory procedures.
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2 months
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Potassium
Time Frame: 2 months
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Changes of potassium from baseline assessed to standard laboratory procedures.
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2 months
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Calcium
Time Frame: 2 months
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Changes of calcium from baseline assessed to standard laboratory procedures.
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2 months
|
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Magnesium
Time Frame: 2 months
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Changes of magnesium from baseline assessed to standard laboratory procedures.
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2 months
|
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AST
Time Frame: 2 months
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Changes of AST from baseline assessed to standard laboratory procedures.
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2 months
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ALT
Time Frame: 2 months
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Changes of ALT from baseline assessed to standard laboratory procedures.
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2 months
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Triglycerides
Time Frame: 2 months
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Changes of triglycerides from baseline assessed to standard laboratory procedures.
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2 months
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Total cholesterol
Time Frame: 2 months
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Changes of total cholesterol from baseline assessed to standard laboratory procedures.
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2 months
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HDL-cholesterol
Time Frame: 2 months
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Changes of HDL-cholesterol from baseline assessed to standard laboratory procedures.
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2 months
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LDL-cholesterol
Time Frame: 2 months
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Changes of LDL-cholesterol from baseline assessed to standard laboratory procedures.
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2 months
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Uric Acid
Time Frame: 2 months
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Changes of uric acid from baseline assessed to standard laboratory procedures.
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2 months
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eGFR
Time Frame: 2 months
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Changes of eGFR from baseline assessed to standard laboratory procedures.
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2 months
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Gastrointestinal and systemic symptoms
Time Frame: 2 months
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Changes of gastrointestinal and systemic symptoms from baseline assessed through a modified form of the Global Assessment of Improvement Scale (GAI), with a total score ranging from 0 to 56, with higher scores meaning an improvement of the symptoms and the Symptom Severity Scale (SSS), with a total score ranging from 0 to 500, with higher scores meaning more severe symptoms.
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2 months
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Gut microbiota
Time Frame: 2 months
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Changes of gut microbiota from baseline assessed by Illumina MiSeq platform.
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2 months
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Collaborators and Investigators
Investigators
- Principal Investigator: Francesco Sofi, Prof., Unit of Clinical Nutrition, University hospital of Careggi, Florence, italy
Publications and helpful links
General Publications
- Albanese D, De Filippo C, Cavalieri D, Donati C. Explaining diversity in metagenomic datasets by phylogenetic-based feature weighting. PLoS Comput Biol. 2015 Mar 27;11(3):e1004186. doi: 10.1371/journal.pcbi.1004186. eCollection 2015 Mar.
- Borgeraas H, Johnson LK, Skattebu J, Hertel JK, Hjelmesaeth J. Effects of probiotics on body weight, body mass index, fat mass and fat percentage in subjects with overweight or obesity: a systematic review and meta-analysis of randomized controlled trials. Obes Rev. 2018 Feb;19(2):219-232. doi: 10.1111/obr.12626. Epub 2017 Oct 18.
- Chung HJ, Yu JG, Lee IA, Liu MJ, Shen YF, Sharma SP, Jamal MA, Yoo JH, Kim HJ, Hong ST. Intestinal removal of free fatty acids from hosts by Lactobacilli for the treatment of obesity. FEBS Open Bio. 2016 Jan 18;6(1):64-76. doi: 10.1002/2211-5463.12024. eCollection 2016 Jan.
- Dinan TG, Cryan JF. Melancholic microbes: a link between gut microbiota and depression? Neurogastroenterol Motil. 2013 Sep;25(9):713-9. doi: 10.1111/nmo.12198.
- Gomes AC, de Sousa RG, Botelho PB, Gomes TL, Prada PO, Mota JF. The additional effects of a probiotic mix on abdominal adiposity and antioxidant Status: A double-blind, randomized trial. Obesity (Silver Spring). 2017 Jan;25(1):30-38. doi: 10.1002/oby.21671.
- Segata N, Izard J, Waldron L, Gevers D, Miropolsky L, Garrett WS, Huttenhower C. Metagenomic biomarker discovery and explanation. Genome Biol. 2011 Jun 24;12(6):R60. doi: 10.1186/gb-2011-12-6-r60.
- Verdenelli MC, Ghelfi F, Silvi S, Orpianesi C, Cecchini C, Cresci A. Probiotic properties of Lactobacillus rhamnosus and Lactobacillus paracasei isolated from human faeces. Eur J Nutr. 2009 Sep;48(6):355-63. doi: 10.1007/s00394-009-0021-2. Epub 2009 Apr 14.
- John GK, Wang L, Nanavati J, Twose C, Singh R, Mullin G. Dietary Alteration of the Gut Microbiome and Its Impact on Weight and Fat Mass: A Systematic Review and Meta-Analysis. Genes (Basel). 2018 Mar 16;9(3):167. doi: 10.3390/genes9030167.
- Sanchez M, Darimont C, Panahi S, Drapeau V, Marette A, Taylor VH, Dore J, Tremblay A. Effects of a Diet-Based Weight-Reducing Program with Probiotic Supplementation on Satiety Efficiency, Eating Behaviour Traits, and Psychosocial Behaviours in Obese Individuals. Nutrients. 2017 Mar 15;9(3):284. doi: 10.3390/nu9030284.
- Sanders ME. Probiotics and microbiota composition. BMC Med. 2016 Jun 2;14(1):82. doi: 10.1186/s12916-016-0629-z.
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
Additional Relevant MeSH Terms
Other Study ID Numbers
- PRO-Weight-Control
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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