- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04823676
Efficacy and Safety of a Probiotic Composition as Adjunct in MAFL Management
Efficacy and Safety of a Probiotic Composition as Adjunct Treatment in the Comprehensive Management of Metabolism-Associated Hepatic Steatosis in Adults
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Some studies have shown beneficial results with probiotics on hepatic function of subjects with Non-Alcoholic Fatty Liver (NAFL) also known as Metabolism-Associated Fatty Liver (MAFL). However, meta-analyses have found significant variability among probiotic formulations. In fact, many probiotic properties are thought to be strain-specific.
This study aims at providing a comprehensive characterization of a particular probiotic formula containing Lactoplantibacillus plantarum (formerly Lactobacillus plantarum) and Levilactobacillus brevis (formerly Lactobacillus brevis) in hepatic function of individuals with NAFL. The study will assess hepatic stiffness via transient elastography (Fibroscan), hepatic function via liver enzymes in serum (ALT, AST, GGT) and liver-specific inflammation via cytokeratin18 in serum, as well as some general metabolic and inflammatory markers.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
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-
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Mexico city, Mexico, 14080
- Hospital General Dr. Manuel Gea González
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Diagnosis of Hepatic Steatosis associated with Metabolism (MAFL, also known as Non-Alcoholic Fatty Liver or NAFL) with Controlled Attenuation Parameter (CAP) value of > 269 dB / m when evaluated by Fibroscan transient elastography
- Alanine aminotransferase (ALT) levels at least 35% above the upper limit of reference values
- BMI between 25 and 40 kg / m2
- Signing of the informed consent and understanding of the procedures to be carried out
- Not willing to change their current dietary habits (hypercaloric and hyperlipemic)
Exclusion Criteria:
- Treatment of NAFL or NASH (Non-Alcoholic Steato-Hepatitis) for at least 3 months prior to the study, with high dose vitamin E (≥200 mg / day), high dose omega-3 (≥500 mg / day), pioglitazone, bile acid sequestrants, statins, GLP-1 agonists, and / or DPP4 inhibitors ("gliptins"), and not having shown a significant biochemical and ultrasonographic improvement
- History of chronic alcohol or drug abuse
- Diagnosis of infectious hepatitis or HIV infection
- Diagnosis of hemochromatosis
- Celiac disease, inflammatory bowel disease, chronic or recurrent diarrhea
- Chronic use of laxatives.
- Pancreatic failure, thyroid dysfunction, severe liver disease, biliary dysfunction (including cholecystectomy and blood bilirubin abnormalities)
- Uncontrolled diabetes or hypertriglyceridemia greater than 500mg / dL
- History of regular use (> 3 days) of oral or parenteral antibiotics one month prior to the study
- Current use of systemic corticosteroids, androgens, clopidogrel, digoxin, acenocoumarol, warfarin, phenytoin, topiramate, lithium, tricyclic antidepressants, monoamine oxidase inhibitors, second generation antipsychotics, amiodarone, tamoxifen, and/or diltiazem.
- Intake of other probiotics, plant-derived sterols, beta-glucans, red rice yeast (Monascus purpureus), or milk thistle extract (Silybum marianum) or its active ingredients (silymarin, silybin) on a regular basis (> 7 days) in the 15 days prior to entering the study.
- History of angina or cardiovascular events, cancer, or immunosuppression
- Chronic, moderate-to-heavy smoking (> 5 cigarettes a day)
- History of gastro-intestinal surgery in the previous year.
- Debilitating diseases (advanced liver or kidney disease, severe depression, psychotic symptoms, neurological diseases).
- Current pregnancy (positive urine test), or planning to become pregnant during the course of the study.
- Breastfeeding at the time of eligibility assessment
- Subjects having participated in a clinical study within 1 month prior to eligibility assessment
- Current use of 4 or more concomitant medications of any type
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 |
---|---|
Active Comparator: Probiotic composition
A capsule containing a mix of probiotic strains (1.5 x 10^9 CFU/capsule ) administered once daily for 4 months
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Mixture of two Lactoplantibacillus plantarum strains (formerly Lactobacillus plantarum) and one Levilactobacillus brevis strain (formerly Lactobacillus brevis), in a maltodextrin carrier (E1400)
|
Placebo Comparator: Placebo
A capsule containing placebo administered once daily for 4 months
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Maltodextrin (E1400, qs)
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Change in alanine amino transferase (ALT)
Time Frame: change month 2 from baseline
|
Change in serum levels (international units/L) of alanine amino transferase (ALT) across the study.
Sample obtained through blood sampling
|
change month 2 from baseline
|
Change in alanine amino transferase (ALT)
Time Frame: change month 4 from baseline
|
Change in serum levels (international units/L) of alanine amino transferase (ALT) across the study.
Sample obtained through blood sampling
|
change month 4 from baseline
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Change in hepatic steatosis
Time Frame: change month 2 from baseline
|
Change in the severity of the degree of hepatic steatosis measured by transient elastography with controlled attenuation parameter (Fibroscan CAP®)
|
change month 2 from baseline
|
Change in hepatic steatosis
Time Frame: change month 4 from baseline
|
Change in the severity of the degree of hepatic steatosis measured by transient elastography with controlled attenuation parameter (Fibroscan CAP®)
|
change month 4 from baseline
|
Change in Fibroscan-AST score
Time Frame: change month 2 from baseline
|
Change in the values of the Fibroscan-AST score (FAST, ranging 0-1), where higher values indicate a worse condition
|
change month 2 from baseline
|
Change in Fibroscan-AST score
Time Frame: change month 4 from baseline
|
Change in the values of the Fibroscan-AST score (FAST, ranging 0-1), where higher values indicate a worse condition
|
change month 4 from baseline
|
Change in Fatty Liver Index
Time Frame: change month 2 from baseline
|
Change in the values of the Fatty Liver Index (FLI, ranging 0-100), where higher values indicate a worse condition
|
change month 2 from baseline
|
Change in Fatty Liver Index
Time Frame: change month 4 from baseline
|
Change in the values of the Fatty Liver Index (FLI, ranging 0-100), where higher values indicate a worse condition
|
change month 4 from baseline
|
Change in Hepatic Steatosis Index
Time Frame: change month 2 from baseline
|
Change in the values of the Hepatic Steatosis Index (HSI, ranging 0-100), where higher values indicate a worse condition
|
change month 2 from baseline
|
Change in Hepatic Steatosis Index
Time Frame: change month 4 from baseline
|
Change in the values of the Hepatic Steatosis Index (HSI, ranging 0-100), where higher values indicate a worse condition
|
change month 4 from baseline
|
Change in Cholesterol
Time Frame: change month 2 from baseline
|
Change in LDL cholesterol, oxidized LDL-cholesterol, HDL-cholesterol, non-HDL cholesterol, total cholesterol.
Sample obtained through blood sampling.
|
change month 2 from baseline
|
Change in Cholesterol
Time Frame: change month 4 from baseline
|
Change in LDL cholesterol, oxidized LDL-cholesterol, HDL-cholesterol, non-HDL cholesterol, total cholesterol.
Sample obtained through blood sampling.
|
change month 4 from baseline
|
Change in leptin serum parameters
Time Frame: change month 2 from baseline
|
Change in leptin.
Sample obtained through blood sampling.
|
change month 2 from baseline
|
Change in leptin serum parameters
Time Frame: change month 4 from baseline
|
Change in leptin.
Sample obtained through blood sampling.
|
change month 4 from baseline
|
Change in adiponectin serum parameters
Time Frame: change month 2 from baseline
|
Change in adiponectin.
Sample obtained through blood sampling.
|
change month 2 from baseline
|
Change in adiponectin serum parameters
Time Frame: change month 4 from baseline
|
Change in adiponectin.
Sample obtained through blood sampling.
|
change month 4 from baseline
|
Change in HOMA serum parameters
Time Frame: change month 2 from baseline
|
Change in HOMA (Homeostatic Model Assessment).
Sample obtained through blood sampling.
|
change month 2 from baseline
|
Change in HOMA serum parameters
Time Frame: change month 4 from baseline
|
Change in HOMA (Homeostatic Model Assessment).
Sample obtained through blood sampling.
|
change month 4 from baseline
|
Change in glucose serum parameters
Time Frame: change month 2 from baseline
|
Change in glucose.
Sample obtained through blood sampling.
|
change month 2 from baseline
|
Change in glucose serum parameters
Time Frame: change month 4 from baseline
|
Change in glucose.
Sample obtained through blood sampling.
|
change month 4 from baseline
|
Change in glycosylated hemoglobin serum parameters
Time Frame: change month 2 from baseline
|
Change in glycosylated hemoglobin (Hb1Ac).
Sample obtained through blood sampling.
|
change month 2 from baseline
|
Change in glycosylated hemoglobin serum parameters
Time Frame: change month 4 from baseline
|
Change in glycosylated hemoglobin (Hb1Ac).
Sample obtained through blood sampling.
|
change month 4 from baseline
|
Change in insulin serum parameters
Time Frame: change month 2 from baseline
|
Change in insulin.
Sample obtained through blood sampling.
|
change month 2 from baseline
|
Change in insulin serum parameters
Time Frame: change month 4 from baseline
|
Change in insulin.
Sample obtained through blood sampling.
|
change month 4 from baseline
|
Change in Triglycerides serum parameters
Time Frame: change month 2 from baseline
|
Change in Triglycerides.
Sample obtained through blood sampling.
|
change month 2 from baseline
|
Change in Triglycerides serum parameters
Time Frame: change month 4 from baseline
|
Change in Triglycerides.
Sample obtained through blood sampling.
|
change month 4 from baseline
|
Change in ferritin serum parameters
Time Frame: change month 2 from baseline
|
Change in ferritin.
Samples obtained through blood sampling
|
change month 2 from baseline
|
Change in ferritin serum parameters
Time Frame: change month 4 from baseline
|
Change in ferritin.
Samples obtained through blood sampling
|
change month 4 from baseline
|
Change in C-reactive protein serum parameters
Time Frame: change month 2 from baseline
|
Change in ferritin.
Samples obtained through blood sampling
|
change month 2 from baseline
|
Change in C-reactive protein serum parameters
Time Frame: change month 4 from baseline
|
Change in ferritin.
Samples obtained through blood sampling
|
change month 4 from baseline
|
Change in IL-1beta serum parameters
Time Frame: change month 2 from baseline
|
Change in IL-1beta.
Samples obtained through blood sampling
|
change month 2 from baseline
|
Change in IL-1beta serum parameters
Time Frame: change month 4 from baseline
|
Change in IL-1beta.
Samples obtained through blood sampling
|
change month 4 from baseline
|
Change in TNF-alpha serum parameters
Time Frame: change month 2 from baseline
|
Change in TNF-alpha.
Samples obtained through blood sampling
|
change month 2 from baseline
|
Change in TNF-alpha serum parameters
Time Frame: change month 4 from baseline
|
Change in TNF-alpha.
Samples obtained through blood sampling
|
change month 4 from baseline
|
Change in Cytokeratin-18 serum parameters
Time Frame: change month 2 from baseline
|
Change in Cytokeratin-18.
Samples obtained through blood sampling
|
change month 2 from baseline
|
Change in Cytokeratin-18 serum parameters
Time Frame: change month 4 from baseline
|
Change in Cytokeratin-18.
Samples obtained through blood sampling
|
change month 4 from baseline
|
Change in IL-17 serum parameters
Time Frame: change month 4 from baseline
|
Change in IL-17.
Samples obtained through blood sampling
|
change month 4 from baseline
|
Change in IL-17 serum parameters
Time Frame: change month 2 from baseline
|
Change in IL-17.
Samples obtained through blood sampling
|
change month 2 from baseline
|
Intestinal microbiota composition
Time Frame: change month 4 from baseline
|
Change in alpha and beta diversity of the gut microbiota as assessed by 16S bacterial gene analysis
|
change month 4 from baseline
|
Change in fat values
Time Frame: change month 2 from baseline
|
Change in the values of total body fat and visceral fat evaluated by impedance measurement
|
change month 2 from baseline
|
Change in fat values
Time Frame: change month 4 from baseline
|
Change in the values of total body fat and visceral fat evaluated by impedance measurement
|
change month 4 from baseline
|
Change in waist values
Time Frame: change month 2 from baseline
|
Change in the values of waist circumference evaluated by impedance measurement
|
change month 2 from baseline
|
Change in waist values
Time Frame: change month 4 from baseline
|
Change in the values of waist circumference evaluated by impedance measurement
|
change month 4 from baseline
|
Change in waist / height index
Time Frame: change month 2 from baseline
|
Change in the values of waist / height index, evaluated by impedance measurement
|
change month 2 from baseline
|
Change in waist / height index
Time Frame: change month 4 from baseline
|
Change in the values of waist / height index, evaluated by impedance measurement
|
change month 4 from baseline
|
Change in hip circumference values
Time Frame: change month 2 from baseline
|
Change in the hip circumference evaluated by impedance measurement
|
change month 2 from baseline
|
Change in hip circumference values
Time Frame: change month 4 from baseline
|
Change in the hip circumference evaluated by impedance measurement
|
change month 4 from baseline
|
Change in BMI values
Time Frame: change month 2 from baseline
|
Change in the values of Body Mass Index (BMI) evaluated by impedance measurement
|
change month 2 from baseline
|
Change in BMI values
Time Frame: change month 4 from baseline
|
Change in the values of Body Mass Index (BMI) evaluated by impedance measurement
|
change month 4 from baseline
|
Adverse events
Time Frame: Throughout study completion, an average of 4 months
|
Frequency of adverse events
|
Throughout study completion, an average of 4 months
|
Collaborators and Investigators
Sponsor
Publications and helpful links
General Publications
- Hill C, Guarner F, Reid G, Gibson GR, Merenstein DJ, Pot B, Morelli L, Canani RB, Flint HJ, Salminen S, Calder PC, Sanders ME. Expert consensus document. The International Scientific Association for Probiotics and Prebiotics consensus statement on the scope and appropriate use of the term probiotic. Nat Rev Gastroenterol Hepatol. 2014 Aug;11(8):506-14. doi: 10.1038/nrgastro.2014.66. Epub 2014 Jun 10.
- Ma YY, Li L, Yu CH, Shen Z, Chen LH, Li YM. Effects of probiotics on nonalcoholic fatty liver disease: a meta-analysis. World J Gastroenterol. 2013 Oct 28;19(40):6911-8. doi: 10.3748/wjg.v19.i40.6911.
- Loman BR, Hernandez-Saavedra D, An R, Rector RS. Prebiotic and probiotic treatment of nonalcoholic fatty liver disease: a systematic review and meta-analysis. Nutr Rev. 2018 Nov 1;76(11):822-839. doi: 10.1093/nutrit/nuy031.
- Bedogni G, Bellentani S, Miglioli L, Masutti F, Passalacqua M, Castiglione A, Tiribelli C. The Fatty Liver Index: a simple and accurate predictor of hepatic steatosis in the general population. BMC Gastroenterol. 2006 Nov 2;6:33. doi: 10.1186/1471-230X-6-33.
- Lee JH, Kim D, Kim HJ, Lee CH, Yang JI, Kim W, Kim YJ, Yoon JH, Cho SH, Sung MW, Lee HS. Hepatic steatosis index: a simple screening tool reflecting nonalcoholic fatty liver disease. Dig Liver Dis. 2010 Jul;42(7):503-8. doi: 10.1016/j.dld.2009.08.002. Epub 2009 Sep 18.
- Newsome PN, Sasso M, Deeks JJ, Paredes A, Boursier J, Chan WK, Yilmaz Y, Czernichow S, Zheng MH, Wong VW, Allison M, Tsochatzis E, Anstee QM, Sheridan DA, Eddowes PJ, Guha IN, Cobbold JF, Paradis V, Bedossa P, Miette V, Fournier-Poizat C, Sandrin L, Harrison SA. FibroScan-AST (FAST) score for the non-invasive identification of patients with non-alcoholic steatohepatitis with significant activity and fibrosis: a prospective derivation and global validation study. Lancet Gastroenterol Hepatol. 2020 Apr;5(4):362-373. doi: 10.1016/S2468-1253(19)30383-8. Epub 2020 Feb 3. Erratum In: Lancet Gastroenterol Hepatol. 2020 Apr;5(4):e3.
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
- ABB-MAFL21A
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
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