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OpenTrials
Completed

NCT Number: NCT04823676

Efficacy and Safety of a Probiotic Composition as Adjunct in MAFL Management

Some studies have shown beneficial results with probiotics on hepatic function of subjects with fatty liver, but significant variability has been noted among probiotic formulations. This study aims at providing a comprehensive characterization of the effect of a particular probiotic formula in hepatic function of said subjects.

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Key information

Age range

18 year–55 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Hospital General Dr. Manuel Gea Gonzalez

Mexico City, 14080, Mexico

About this study

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.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

Probiotic composition

Dietary Supplement

Mixture of two Lactoplantibacillus plantarum strains (formerly Lactobacillus plantarum) and one Levilactobacillus brevis strain (formerly Lactobacillus brevis), in a maltodextrin carrier (E1400)

Placebo

Other

Maltodextrin (E1400, qs)

Primary outcomes

  1. 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

  2. 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

Secondary outcomes

  1. 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®)

  2. 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®)

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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.

  10. 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.

  11. Change in leptin serum parameters

    Time frame: change month 2 from baseline

    Change in leptin. Sample obtained through blood sampling.

  12. Change in leptin serum parameters

    Time frame: change month 4 from baseline

    Change in leptin. Sample obtained through blood sampling.

  13. Change in adiponectin serum parameters

    Time frame: change month 2 from baseline

    Change in adiponectin. Sample obtained through blood sampling.

  14. Change in adiponectin serum parameters

    Time frame: change month 4 from baseline

    Change in adiponectin. Sample obtained through blood sampling.

  15. Change in HOMA serum parameters

    Time frame: change month 2 from baseline

    Change in HOMA (Homeostatic Model Assessment). Sample obtained through blood sampling.

  16. Change in HOMA serum parameters

    Time frame: change month 4 from baseline

    Change in HOMA (Homeostatic Model Assessment). Sample obtained through blood sampling.

  17. Change in glucose serum parameters

    Time frame: change month 2 from baseline

    Change in glucose. Sample obtained through blood sampling.

  18. Change in glucose serum parameters

    Time frame: change month 4 from baseline

    Change in glucose. Sample obtained through blood sampling.

  19. Change in glycosylated hemoglobin serum parameters

    Time frame: change month 2 from baseline

    Change in glycosylated hemoglobin (Hb1Ac). Sample obtained through blood sampling.

  20. Change in glycosylated hemoglobin serum parameters

    Time frame: change month 4 from baseline

    Change in glycosylated hemoglobin (Hb1Ac). Sample obtained through blood sampling.

  21. Change in insulin serum parameters

    Time frame: change month 2 from baseline

    Change in insulin. Sample obtained through blood sampling.

  22. Change in insulin serum parameters

    Time frame: change month 4 from baseline

    Change in insulin. Sample obtained through blood sampling.

  23. Change in Triglycerides serum parameters

    Time frame: change month 2 from baseline

    Change in Triglycerides. Sample obtained through blood sampling.

  24. Change in Triglycerides serum parameters

    Time frame: change month 4 from baseline

    Change in Triglycerides. Sample obtained through blood sampling.

  25. Change in ferritin serum parameters

    Time frame: change month 2 from baseline

    Change in ferritin. Samples obtained through blood sampling

  26. Change in ferritin serum parameters

    Time frame: change month 4 from baseline

    Change in ferritin. Samples obtained through blood sampling

  27. Change in C-reactive protein serum parameters

    Time frame: change month 2 from baseline

    Change in ferritin. Samples obtained through blood sampling

  28. Change in C-reactive protein serum parameters

    Time frame: change month 4 from baseline

    Change in ferritin. Samples obtained through blood sampling

  29. Change in IL-1beta serum parameters

    Time frame: change month 2 from baseline

    Change in IL-1beta. Samples obtained through blood sampling

  30. Change in IL-1beta serum parameters

    Time frame: change month 4 from baseline

    Change in IL-1beta. Samples obtained through blood sampling

  31. Change in TNF-alpha serum parameters

    Time frame: change month 2 from baseline

    Change in TNF-alpha. Samples obtained through blood sampling

  32. Change in TNF-alpha serum parameters

    Time frame: change month 4 from baseline

    Change in TNF-alpha. Samples obtained through blood sampling

  33. Change in Cytokeratin-18 serum parameters

    Time frame: change month 2 from baseline

    Change in Cytokeratin-18. Samples obtained through blood sampling

  34. Change in Cytokeratin-18 serum parameters

    Time frame: change month 4 from baseline

    Change in Cytokeratin-18. Samples obtained through blood sampling

  35. Change in IL-17 serum parameters

    Time frame: change month 4 from baseline

    Change in IL-17. Samples obtained through blood sampling

  36. Change in IL-17 serum parameters

    Time frame: change month 2 from baseline

    Change in IL-17. Samples obtained through blood sampling

  37. 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

  38. 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

  39. 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

  40. Change in waist values

    Time frame: change month 2 from baseline

    Change in the values of waist circumference evaluated by impedance measurement

  41. Change in waist values

    Time frame: change month 4 from baseline

    Change in the values of waist circumference evaluated by impedance measurement

  42. Change in waist / height index

    Time frame: change month 2 from baseline

    Change in the values of waist / height index, evaluated by impedance measurement

  43. Change in waist / height index

    Time frame: change month 4 from baseline

    Change in the values of waist / height index, evaluated by impedance measurement

  44. Change in hip circumference values

    Time frame: change month 2 from baseline

    Change in the hip circumference evaluated by impedance measurement

  45. Change in hip circumference values

    Time frame: change month 4 from baseline

    Change in the hip circumference evaluated by impedance measurement

  46. Change in BMI values

    Time frame: change month 2 from baseline

    Change in the values of Body Mass Index (BMI) evaluated by impedance measurement

  47. Change in BMI values

    Time frame: change month 4 from baseline

    Change in the values of Body Mass Index (BMI) evaluated by impedance measurement

  48. Adverse events

    Time frame: Throughout study completion, an average of 4 months

    Frequency of adverse events

Sponsors and collaborators

Lead sponsor

AB Biotics, SA

Industry

Registry information

Official study title

Efficacy and Safety of a Probiotic Composition as Adjunct Treatment in the Comprehensive Management of Metabolism-Associated Hepatic Steatosis in Adults

Important dates

Study start
2021
Primary completion
2021
Study completion
2022
First posted
Apr 1, 2021
Registry last updated
Feb 24, 2022

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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