- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07632222
High-Protein Diet for Improving Alcoholic Fatty Liver Disease (HP-AFLD-RCT)
Efficacy and Safety of a High-Protein Diet Versus a Standard Diet in Patients With Alcoholic Fatty Liver Disease: A Randomized Controlled Trial
Alcohol-associated liver disease (ALD) is a major cause of mortality from malignant liver diseases, accounting for 47.9% of cirrhosis-related deaths and 30% of liver cancer-related deaths annually. In China, both alcohol consumption and the prevalence of ALD (approximately 5.15%) are on the rise, making ALD an increasingly significant health concern for the population. Alcohol-associated fatty liver disease (AFLD), as the initial and most reversible stage of ALD, is primarily characterized by excessive hepatic lipid deposition, mild liver injury accompanied by mild inflammation. It can progressively develop into alcoholic hepatitis, and in some patients, advance to liver fibrosis, cirrhosis, and even hepatocellular carcinoma. Currently, there is a lack of effective clinical treatments for AFLD. Although alcohol abstinence remains the optimal choice for reversing AFLD, it is often difficult for individuals with alcohol dependence to maintain.
A high-protein diet generally refers to a dietary pattern where protein accounts for more than 20% of total energy intake. A protein contribution of 30% is a common ratio in research investigating high-protein dietary interventions for metabolic diseases. Population-based intervention studies have demonstrated that a high-protein diet at this ratio significantly reduces hepatic fat content. For instance, a study published in Gastroenterology (2017) reported that a 6-week isocaloric high-protein diet (macronutrient distribution: 30% protein, 40% carbohydrates, 30% fat) significantly improved hepatic lipid deposition in patients with non-alcoholic fatty liver disease (NAFLD) and type 2 diabetes mellitus (T2DM). Research in Diabetologia (2019) showed that a 6-week isocaloric high-protein diet (30% protein, 30% carbohydrates, 40% fat) significantly reduced hepatic fat content in patients with T2DM. Additionally, a study in Liver International (2020) indicated that a 3-week energy-restricted high-protein diet (30% protein, 35%-45% carbohydrates, 25%-30% fat) significantly decreased hepatic fat content in NAFLD patients. Importantly, none of the aforementioned studies reported adverse events associated with the high-protein dietary interventions. Furthermore, a population-based intervention study published in Annals of Internal Medicine revealed that a low-carbohydrate, high-fat diet was more effective than a high-carbohydrate, low-fat diet in reducing hepatic fat content over a 6-month period in patients with NAFLD and T2DM. These findings suggest that increasing the percentage of energy from protein by reducing carbohydrate intake may yield superior improvements. Based on the macronutrient distributions from the referenced population interventions, and considering that a 30% fat energy contribution closely aligns with the typical dietary fat intake of the Chinese AFLD population, we established the macronutrient distribution for the high-protein diet group as 30% protein, 40% carbohydrates, and 30% fat.
This study intends to conduct a randomized controlled trial to investigate the effects of increasing the percentage of energy from protein under an isocaloric dietary pattern on liver function, hepatic fat content, and glucose-lipid metabolism in individuals with AFLD. The aim is to elucidate the mechanisms underlying its beneficial effects on AFLD, thereby providing population-based evidence and strategies for health promotion in this patient group.
Study Overview
Status
Conditions
Intervention / Treatment
Study Type
Enrollment (Estimated)
Phase
- Phase 2
Contacts and Locations
Study Contact
- Name: Qingling Huang, Dr.
- Phone Number: +8615267148306
- Email: hqingling0306@163.com
Study Contact Backup
- Name: Kaixin Pan
- Phone Number: +8613568620076
- Email: 18966486859@163.com
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Aged between 30 and 65 years old.
- Able to understand the study and voluntarily sign the informed consent form.
- Meet the clinical diagnostic criteria for alcohol-associated fatty liver disease (AFLD): a history of alcohol consumption for ≥5 years, with an average daily ethanol intake of ≥20 g/d; clinically diagnosed with fatty liver (indicated by abdominal ultrasound or a liver MRI proton density fat fraction [MRI-PDFF] ≥5.2%).
Exclusion Criteria:
- Average daily ethanol intake >80 g/d.
- Presence of other hepatobiliary diseases, such as autoimmune liver disease, viral hepatitis, liver fibrosis, or cirrhosis.
- Presence of severe cardiovascular or cerebrovascular diseases, or renal insufficiency.
- Patients with tumors or other severe systemic diseases.
- Patients with gastrointestinal disorders, or those with known protein allergy or intolerance.
- Long-term use of medications known to cause hepatic steatosis or steatohepatitis (e.g., amiodarone or tamoxifen), nutritional supplements, or probiotics.
- Total daily energy intake (excluding energy from alcohol) <1900 kcal or ≥2900 kcal.
- Participation in another interventional study within the past year, or scheduled to receive non-study treatments during the trial period.
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 |
|---|---|
|
Experimental: high protein diet group
Arm Description: High-protein meals will be provided for 5 days per week, and high-protein recipes will be provided for the two weekend days.
|
high protein diet
|
|
Placebo Comparator: control diet group
Control meals will be provided for 5 days per week, and control recipes will be provided for the two weekend days.
|
control diet
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Magnetic Resonance Imaging proton density fat fraction in hepatic steatosis
Time Frame: Baseline, up to 60 days of the study
|
Magnetic Resonance Imaging (MRI) technology utilizes magnetic fields and radiofrequency pulses to conduct non-invasive examinations of tissues.
When measuring liver fat content, MRI employs water-fat separation techniques to quantify the proton density of water molecules and fat molecules (PDFF) within the liver, thereby providing a quantitative analysis of fat content.
|
Baseline, up to 60 days of the study
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Liver function
Time Frame: Baseline, up to 60 days of the study
|
Alanine aminotransferase (ALT, U/L), aspartate aminotransferase (AST, U/L), γ-glutamyltransferase (γ-GT, U/L), alkaline phosphatase (ALP, U/L), total bilirubin (TBIL, μmol/L), direct bilirubin (DBIL, μmol/L), indirect bilirubin (IBIL, μmol/L), alcohol dehydrogenase (ADH, U/L), aldehyde dehydrogenase (ALDH, U/L).
|
Baseline, up to 60 days of the study
|
|
Glucose metabolism
Time Frame: Baseline, up to 60 days of the study
|
Hemoglobin A1c (HbA1c, %), Fasting blood glucose (FBG, mmol/L)
|
Baseline, up to 60 days of the study
|
|
Lipid metabolism
Time Frame: Baseline, up to 60 days of the study
|
Serum triglycerides (TG, mmol/L), total cholesterol (TC, mmol/L), low-density lipoprotein cholesterol (LDL-C, mmol/L), high-density lipoprotein cholesterol (HDL-C, mmol/L), apolipoprotein A-I (ApoA-I, g/L), apolipoprotein B (Apo B, g/L).
|
Baseline, up to 60 days of the study
|
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Inflammation level
Time Frame: Baseline, up to 60 days of the study
|
High-sensitivity C-reactive protein (hs-CRP, mg/L), tumor necrosis factor (TNF-α, pg/mL), interleukins (IL-1β, pg/mL), interleukins (IL-6, pg/mL).
|
Baseline, up to 60 days of the study
|
|
Kidney function
Time Frame: Baseline, up to 60 days of the study
|
Blood creatinine (CREA, μmol/L), urea nitrogen (BUN, mmol/L), uric acid (UA, μmol/L).
|
Baseline, up to 60 days of the study
|
|
Intestinal flora
Time Frame: Baseline, up to 60 days of the study
|
16s rRNA sequencing
|
Baseline, up to 60 days of the study
|
|
serum untargeted metabolomics
Time Frame: Baseline, up to 60 days of the study
|
serum untargeted metabolomics
|
Baseline, up to 60 days of the study
|
|
biomarkers of oxidative stress
Time Frame: Baseline, up to 60 days of the study
|
Urinary 8-isoprostane(pg/mL)
|
Baseline, up to 60 days of the study
|
Collaborators and Investigators
Sponsor
Investigators
- Study Chair: Songtao Li, Zhejiang Chinese Medical University
Publications and helpful links
General Publications
- Marin-Alejandre BA, Abete I, Cantero I, Monreal JI, Elorz M, Herrero JI, Benito-Boillos A, Quiroga J, Martinez-Echeverria A, Uriz-Otano JI, Huarte-Muniesa MP, Tur JA, Martinez JA, Zulet MA. The Metabolic and Hepatic Impact of Two Personalized Dietary Strategies in Subjects with Obesity and Nonalcoholic Fatty Liver Disease: The Fatty Liver in Obesity (FLiO) Randomized Controlled Trial. Nutrients. 2019 Oct 22;11(10):2543. doi: 10.3390/nu11102543.
- Papakonstantinou E, Triantafillidou D, Panagiotakos DB, Koutsovasilis A, Saliaris M, Manolis A, Melidonis A, Zampelas A. A high-protein low-fat diet is more effective in improving blood pressure and triglycerides in calorie-restricted obese individuals with newly diagnosed type 2 diabetes. Eur J Clin Nutr. 2010 Jun;64(6):595-602. doi: 10.1038/ejcn.2010.29. Epub 2010 Mar 10.
- Sun P, Huang L, Shuai P, Wan Z, Liu Y, Xue J, Liu Y. Effect of a High Protein, Low Glycemic Index Dietary Intervention on Metabolic Dysfunction-Associated Fatty Liver Disease: A Randomized Controlled Trial. Front Nutr. 2022 Apr 27;9:863834. doi: 10.3389/fnut.2022.863834. eCollection 2022.
- Xu C, Markova M, Seebeck N, Loft A, Hornemann S, Gantert T, Kabisch S, Herz K, Loske J, Ost M, Coleman V, Klauschen F, Rosenthal A, Lange V, Machann J, Klaus S, Grune T, Herzig S, Pivovarova-Ramich O, Pfeiffer AFH. High-protein diet more effectively reduces hepatic fat than low-protein diet despite lower autophagy and FGF21 levels. Liver Int. 2020 Dec;40(12):2982-2997. doi: 10.1111/liv.14596. Epub 2020 Jul 21.
- Skytte MJ, Samkani A, Petersen AD, Thomsen MN, Astrup A, Chabanova E, Frystyk J, Holst JJ, Thomsen HS, Madsbad S, Larsen TM, Haugaard SB, Krarup T. A carbohydrate-reduced high-protein diet improves HbA1c and liver fat content in weight stable participants with type 2 diabetes: a randomised controlled trial. Diabetologia. 2019 Nov;62(11):2066-2078. doi: 10.1007/s00125-019-4956-4. Epub 2019 Jul 23.
- Markova M, Pivovarova O, Hornemann S, Sucher S, Frahnow T, Wegner K, Machann J, Petzke KJ, Hierholzer J, Lichtinghagen R, Herder C, Carstensen-Kirberg M, Roden M, Rudovich N, Klaus S, Thomann R, Schneeweiss R, Rohn S, Pfeiffer AF. Isocaloric Diets High in Animal or Plant Protein Reduce Liver Fat and Inflammation in Individuals With Type 2 Diabetes. Gastroenterology. 2017 Feb;152(3):571-585.e8. doi: 10.1053/j.gastro.2016.10.007. Epub 2016 Oct 17.
- Mackowiak B, Fu Y, Maccioni L, Gao B. Alcohol-associated liver disease. J Clin Invest. 2024 Feb 1;134(3):e176345. doi: 10.1172/JCI176345.
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
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
- HP-AFLD-RCT
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
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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