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Synbiotics Impact on Insulin and TNF-α in MAFLD: a Gut Microbiota Profile Analysis

Gut Microbiota Profile Analysis and Randomized Controlled Trials (RCT) Study of the Effect of Synbiotics on Insulin and TNF-α in Metabolic Dysfunction -Associated Fatty Liver Disease (MAFLD)

Status
Recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06585982
Enrollment
50
Registered
2024-09-19
Start date
2024-03-04
Completion date
2025-03-07
Last updated
2024-11-12

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Fatty Liver Disease

Keywords

Metabolic dysfunction-associated fatty liver disease, Gut Microbiota, Metabolic profile, Synbiotic

Brief summary

Primary Objective: To analyze the effect of synbiotic supplementation on metabolic profile, insulin and TNF-α and gut microbiota changes in patients with Metabolic dysfunction-Associated Fatty Liver Disease (MAFLD). Research question: Are there any changes in metabolic profile, Insulin and TNF-α and gut microbiota changes in MAFLD patients after synbiotic supplementation Participants will: * Treatment group given supplementation and the control group will be given placebo at a dose of 2x1 tablet for 12 weeks. * Patients will visit the hospital every 28 days for up to 4 months for control and follow-up supplementation. * patients will be given a supplement consumption compliance logbook and a food record logbook used to record food consumption filled in by the patient.

Detailed description

Non-alcoholic Fatty Liver Disease (NAFLD) is a common chronic liver disease estimated to affect 25% of the global population. NAFLD is defined as the presence of fat in the liver that is not associated with alcohol consumption. The researchers proposed a new term, Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD), which covers a range of liver conditions associated with metabolic dysregulation, including obesity and type 2 diabetes. MAFLD is a systemic disease with complications such as obesity, which is closely related to glucose and lipid metabolism. Obesity is associated with comorbidities such as dyslipidaemia, hypertension and diabetes. The pathogenesis mechanism of MAFLD is complex and involves several factors such as mitochondrial dysfunction, oxidative stress, and increased free fatty acids (FFA). The 'multi-hit' theory explains how lifestyle, environmental and genetic factors contribute to the development of MAFLD. The gut microbiota also plays an important role in the development of MAFLD through the gut-liver axis, where microbiota imbalance can lead to inflammation and liver damage. Research shows the microbiota composition in MAFLD patients is different from healthy people, with an increase in Proteobacteria and Actinobacteria and a decrease in butyrate-producing bacteria. Interventions with probiotics and prebiotics (synbiotics) have been shown to reduce liver fibrosis and improve metabolic profiles. The investigators are interested in assessing the effects of synbiotics on changes in metabolic biomarkers, insulin, TNF-α, and gut microbiota in MAFLD patients.

Interventions

DIETARY_SUPPLEMENTTreatment

RILLUS is a synbiotic produced by Kalbe Farma

DIETARY_SUPPLEMENTControl

Placebo produced by Kalbe Farma

Sponsors

Dr. Kariadi General Hospital Medical Center
CollaboratorOTHER
PT Kalbe Farma Tbk
CollaboratorINDUSTRY
Universitas Diponegoro
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
QUADRUPLE (Subject, Caregiver, Investigator, Outcomes Assessor)

Masking description

Drug coding and group assignment are done by the pharmacy, where the investigator only receives data in the form of sample coding but does not know whether the coded sample received an intervention or control.

Eligibility

Sex/Gender
ALL
Age
25 Years to 55 Years
Healthy volunteers
No

Inclusion criteria

1. Adult patients aged 25-55 years 2. Patients are willing to become research respondents after filling out informed consent 3. Patients can and are willing to consume supplements orally within a predetermined time 4. Patients are willing to record compliance with taking supplements in a diary that has been provided 5. Patients diagnosed with MAFLD by FibroScan interpreted by a specialist in gastroenterology-hepatology with a CAP score ≥263 dB/m

Exclusion criteria

1. Patients with hepatitis (hepatitis B, hepatitis C, and autoimmune hepatitis) and alcoholic liver disease, cirrhosis of the liver 2. Patients who are pregnant, or breastfeeding or in a programme to become pregnant during participation in this study. 3. Patients with a history of alcohol consumption \>40 g/day. 4. Patients with a history of decompensated disease including ascites, encephalopathy, variceal haemorrhage 5. Patients with Hepatocellular Carcinoma (HCC) 6. Patients with a history of bowel resection or bariatric surgery Patients with chronic inflammatory bowel disease (IBD) 7. Patients with a history of antibiotic use or probiotic/prebiotic/synbiotic consumption in the past 1 month 8. Use of Vitamin E and omega-3 fatty acids 9. Patients who were not hospitalised in the last month and therefore did not have any food restrictions related to their illness.

Design outcomes

Primary

MeasureTime frameDescription
CRP (C-Reactive Protein)3 monthsAnalyzing C-Reactive Protein (CRP) before and after intervention
Complete Hematology3 monthsComplete Hematology analysis before and after intervention
Metabolic Profile3 monthsAnalyzing fasting glucose and HbA1C before and after the intervention
Insulin3 monthsInsulin test results were taken before and after the intervention
TNF-alpha3 monthsTNF-alpha test results were taken before and after the intervention

Secondary

MeasureTime frameDescription
Anti-HCV3 monthsAnti-HCV test is used as a screening to ensure respondents do not have hepatitis
HBsAg (Hepatitis B Surface Antigen)3 monthsHBsAg test is used as a screening to ensure respondents do not have hepatitis
Beta Diversity of Gut Microbioata4 monthsCalculation of Gut Microbiota's species diversity index using Bray Curtis, where the gene expresion were observed at OTUs level.
Alpha Diversity of Gut Microbioata4 monthsCalculation of Gut Microbiota's species diversity index using Shannon Index, where the gene expresion were observed at OTUs level.

Countries

Indonesia

Contacts

Primary ContactHery D Purnomo, Dr
herydjagat@yahoo.co.id+628122803136
Backup ContactAdiyan Pramono, PhD
adriyanpramono@fk.undip.ac.id+6281282037051

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026