Metabolic dysfunction-associated fatty liver disease (MAFLD) has become the most common chronic liver disease worldwide. Timely therapeutic intervention for MAFLD is crucial for improving patient prognosis and preventing its progression to liver fibrosis, cirrhosis, and even hepatocellular carcinoma (HCC). Therefore, the discovery of novel drugs for the treatment of MAFLD is of great significance. Previous clinical studies have shown that calculus bovis sativus, as an adjuvant therapy for icteric hepatitis and chronic hepatitis B, exhibits significant anti-inflammatory and enzyme-reducing effects, improves liver function indicators, and enhances overall clinical outcomes. However, there is currently no clinical research on the therapeutic effects of calculus bovis sativus in patients with MAFLD, and its underlying mechanisms of action remain to be elucidated. This study proposes a randomized, double-blind, placebo-controlled trial to investigate the effects of calculus bovis sativus in adult patients with MAFLD. The primary objective is to preliminarily explore the clinical efficacy of calculus bovis sativus in treating MAFLD, particularly its impact on liver injury and inflammation. Furthermore, this research will employ a multi-omics approach, integrating metagenomics and metabolomics, to analyze the effects of calculus bovis sativus on the gut microbiota and their metabolites in MAFLD patients. The aim is to uncover its potential mechanisms of action, thereby facilitating its clinical translation and application, and ultimately providing a new therapeutic strategy for patients with MAFLD.
This study is designed as a randomized, double-blind, placebo-controlled trial to investigate calculus bovis sativus in adult subjects with metabolic dysfunction-associated fatty liver disease (MAFLD). The study aims to evaluate the safety of calculus bovis sativus in subjects with MAFLD by monitoring the incidence of adverse events and key laboratory parameters, including routine blood and urine tests, as well as hepatic and renal function, and to preliminarily investigate the potential clinical efficacy of calculus bovis sativus in mitigating MAFLD, liver injury, and inflammation by monitoring various serum biomarkers and non-invasive assessment parameters, such as the controlled attenuation parameter (CAP), liver stiffness measurement (LSM), and magnetic resonance imaging proton density fat fraction (MRI-PDFF). Furthermore, this study will employ a multi-omics approach, combining metagenomics and metabolomics, to explore the effects of calculus bovis sativus on the gut microbiota and its metabolites in patients with MAFLD.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
QUADRUPLE
Enrollment
40
Calculus bovis sativus 200mg qd
Placebo 200mg qd
Tongji Hospital, Tongji Medical College, HUST
Wuhan, Hubei, China
Change from Baseline in Alanine Aminotransferase (ALT) at Week 12
Alanine Aminotransferase (ALT) will be measured from serum samples. The result will be reported in international units per liter (U/L).
Time frame: At baseline and after 4 weeks,8 weeks and 12 weeks of treatment
Change from Baseline in Aspartate Aminotransferase (AST) at Week 12
Aspartate Aminotransferase (AST) will be measured from serum samples. The result will be reported in international units per liter (U/L).
Time frame: Baseline, Week 4, Week 8, and Week 12
Change from Baseline in Gamma-glutamyl Transferase (GGT) at Week 12
Gamma-glutamyl Transferase (GGT) will be measured from serum samples. The result will be reported in international units per liter (U/L).
Time frame: At baseline and after 4 weeks,8 weeks and 12 weeks of treatment
Change from Baseline in Total Bilirubin at Week 12
Total Bilirubin will be measured from serum samples. The result will be reported in micromoles per liter (μmol/L).
Time frame: At baseline and after 4 weeks,8 weeks and 12 weeks of treatment
Change from Baseline in Alkaline Phosphatase (ALP) at Week 12
Alkaline Phosphatase (ALP) will be measured from serum samples. The result will be reported in international units per liter (U/L).
Time frame: At baseline and after 4 weeks,8 weeks and 12 weeks of treatment
Change from Baseline in Liver Stiffness Measurement (LSM) by Fibroscan at Week 12
Liver Stiffness Measurement (LSM) is assessed using Fibroscan to evaluate liver fibrosis. The result is reported in kilopascals (kPa).
Time frame: At baseline and after 12 weeks of treatment
Change from Baseline in Controlled Attenuation Parameter (CAP) by Fibroscan at Week 12
Controlled Attenuation Parameter (CAP) is assessed using Fibroscan to quantify liver steatosis (fat content). The result is reported in decibels per meter (dB/m).
Time frame: At baseline and after 12 weeks of treatment
Change from Baseline in Body Weight at Week 12
Body weight will be measured in kilograms (kg).
Time frame: At baseline and after 12 weeks of treatment
Change from Baseline in Body Mass Index (BMI) at Week 12
Body Mass Index (BMI) is calculated as weight in kilograms divided by the square of height in meters (kg/m²).
Time frame: At baseline and after 12 weeks of treatment
Change from Baseline in Waist Circumference at Week 12
Waist circumference will be measured in centimeters (cm).
Time frame: At baseline and after 12 weeks of treatment
Change from Baseline in Hip Circumference at Week 12
Hip circumference will be measured in centimeters (cm)
Time frame: At baseline and after 12 weeks of treatment
Change from Baseline in Fasting Blood Glucose (FBG) at Week 12
Fasting Blood Glucose (FBG) will be measured from plasma samples. The result will be reported in millimoles per liter (mmol/L).
Time frame: At baseline and after 12 weeks of treatment
Change from Baseline in Glycated Hemoglobin (HbA1c) at Week 12
Glycated Hemoglobin (HbA1c) will be measured from whole blood samples. The result will be reported as a percentage (%)
Time frame: At baseline and after 12 weeks of treatment
Change from Baseline in Fasting Insulin at Week 12
Fasting insulin will be measured from serum samples. The result will be reported in micro-international units per milliliter (μIU/mL).
Time frame: At baseline and after 12 weeks of treatment
Change from Baseline in Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) at Week 12
The Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) is a calculated index based on fasting glucose and fasting insulin. It is calculated using the formula: \[Fasting Insulin (μIU/mL) x Fasting Glucose (mmol/L)\] / 22.5.
Time frame: At baseline and after 12 weeks of treatment
Change from Baseline in Total Cholesterol (TC) at Week 12
Total Cholesterol (TC) will be measured from serum samples. The result will be reported in millimoles per liter (mmol/L).
Time frame: At baseline and after 12 weeks of treatment
Change from Baseline in Triglycerides (TG) at Week 12
Triglycerides (TG) will be measured from serum samples. The result will be reported in millimoles per liter (mmol/L).
Time frame: At baseline and after 12 weeks of treatment
Change from Baseline in High-Density Lipoprotein Cholesterol (HDL-C) at Week 12
High-Density Lipoprotein Cholesterol (HDL-C) will be measured from serum samples. The result will be reported in millimoles per liter (mmol/L).
Time frame: At baseline and after 12 weeks of treatment
Change from Baseline in Low-Density Lipoprotein Cholesterol (LDL-C) at Week 12
Low-Density Lipoprotein Cholesterol (LDL-C) will be measured from serum samples. The result will be reported in millimoles per liter (mmol/L).
Time frame: At baseline and after 12 weeks of treatment
Change from Baseline in Liver Fat Fraction as Measured by MRI-PDFF at Week 12
Liver fat fraction will be quantified using Magnetic Resonance Imaging - Proton Density Fat Fraction (MRI-PDFF)
Time frame: At baseline and after 12 weeks of treatment
Change from Baseline in Gut Microbiota Alpha Diversity as Measured by the Shannon Index at Week 12
Gut microbiota composition will be analyzed from stool samples using 16S rRNA sequencing. Alpha diversity, a measure of within-sample microbial richness and evenness, will be calculated using the Shannon index.
Time frame: At baseline and after 12 weeks of treatment
Change from Baseline in Fecal Short-Chain Fatty Acid (SCFA) Concentrations at Week 12
Concentrations of key Short-Chain Fatty Acids (SCFAs), such as butyrate and propionate, will be quantified from stool samples using mass spectrometry-based metabolomics.
Time frame: At baseline and after 12 weeks of treatment
Change from Baseline in Serum Total Bile Acid (TBA) Concentration at Week 12
Serum Total Bile Acid (TBA) concentration will be quantified using mass spectrometry-based metabolomics.
Time frame: At baseline and after 12 weeks of treatment
Number of Participants With Treatment-Emergent Adverse Events (TEAEs) as Graded by CTCAE v6.0
A Treatment-Emergent Adverse Event (TEAE) is defined as any adverse event occurring or worsening on or after the first dose of the study drug up to the final study visit at Week 12. The severity of all TEAEs will be graded using the Common Terminology Criteria for Adverse Events (CTCAE) v6.0.
Time frame: From Baseline up to Week 12
Change from Baseline in Platelet Count at Week 12
Platelet count will be measured from a whole blood sample as part of routine safety monitoring. The result will be reported in gigaparticles per liter (x10\^9/L).
Time frame: At baseline and after 4 weeks,8 weeks and 12 weeks of treatment
Change from Baseline in Serum Creatinine at Week 12
Serum creatinine will be measured from a blood sample as part of routine safety monitoring. The result will be reported in micromoles per liter (μmol/L).
Time frame: At baseline and after 4 weeks,8 weeks and 12 weeks of treatment
Change from Baseline in Estimated Glomerular Filtration Rate (eGFR) at Week 12
The Estimated Glomerular Filtration Rate (eGFR) is calculated based on serum creatinine, age, and sex, using the CKD-EPI 2021 equation. It is a key indicator of kidney function, reported in mL/min/1.73 m².
Time frame: At baseline and after 4 weeks,8 weeks and 12 weeks of treatment
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