Rebamipide Reprograms Hepatic Networks to Prevent and Reverse Metabolic-Dysfunction-Associated Steatotic Liver Disease: Multi-Omics Insights and Histological Validation
Abstract
1. Introduction
2. Results
2.1. Quality Control and Data Processing
2.2. Exploratory Analysis of Experimental Groups
2.3. Comparative Proteomics Between Control and MHFD Groups to Identify Key Disease Biomarkers

2.4. Comparative Proteomics of Rebamipide Intervention in MHFD: Prophylactic Versus Therapeutic Effects
2.4.1. Effect of Prophylactic Rebamipide Treatment
2.4.2. Effect of Therapeutic Rebamipide Treatment
2.5. Proteomic Profiling of Common Protein Abundance Patterns
2.6. Identification of Candidate Genes Associated with MASLD and Related Metabolic Disorders
2.6.1. Network Analysis of Proteomic-Mapped Key Regulatory Genes
2.6.2. Enrichment Analysis of Shared Proteomic Genes in Disease and Rebamipide Treatment Conditions
2.7. Histopathological Evaluation of Liver Tissues
3. Discussion
4. Materials and Methods
4.1. Reagents and Drugs
4.2. Experimental Design and Animal Groups
- Control group (fed a standard chow diet).
- MHFD-model group that was fed a high-fat liquid diet The MHFD model group received a high-fat liquid diet (71% energy from fat: corn oil (48.5 g/kg), olive oil (28.4 g/kg), safflower oil (2.7 g/kg); 11% carbohydrates: dextrin maltose (25.6 g/kg); 18% protein: casein (41.4 g/kg), L-cystine (0.5 g/kg), dl-methionine (0.3 g/kg)) ad libitum for 16 weeks [70].
- Prophylactic group (Reb T1), receiving Rebamipide (100 mg/kg/day, p.o., dissolved in 0.9% saline) concomitantly with the high-fat diet starting from week 0.
- Therapeutic group (Reb T2), fed a high-fat diet for 12 weeks to induce NASH, followed by Rebamipide treatment (100 mg/kg/day, p.o) during the final 4 weeks [71].
4.3. Sample Processing
4.4. Proteomic Data Analysis
4.5. Processing and Protein Identification
4.6. Data Preprocessing
4.7. Differential Protein Identification
4.8. Gene Ontology and Pathway Enrichment Analysis
4.9. Network Analysis
4.10. Data Mining from Rat Genome Database (RGD)
4.11. Histopathological Examination
4.12. Statistical Analysis
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Abo Nahas, H.H.; Al-Dakhil, A.; Mohamed, D.I.; Yousef, T.A.; Almaaty, A.H.A.; El-Deen, I.M.; Sembawa, H.A.M.; Saied, E.M. Rebamipide Reprograms Hepatic Networks to Prevent and Reverse Metabolic-Dysfunction-Associated Steatotic Liver Disease: Multi-Omics Insights and Histological Validation. Pharmaceuticals 2026, 19, 559. https://doi.org/10.3390/ph19040559
Abo Nahas HH, Al-Dakhil A, Mohamed DI, Yousef TA, Almaaty AHA, El-Deen IM, Sembawa HAM, Saied EM. Rebamipide Reprograms Hepatic Networks to Prevent and Reverse Metabolic-Dysfunction-Associated Steatotic Liver Disease: Multi-Omics Insights and Histological Validation. Pharmaceuticals. 2026; 19(4):559. https://doi.org/10.3390/ph19040559
Chicago/Turabian StyleAbo Nahas, Hebatallah H., Abdullah Al-Dakhil, Doaa I. Mohamed, Tarek A. Yousef, Ali H. Abu Almaaty, Ibrahium M. El-Deen, Hatem Adel M. Sembawa, and Essa M. Saied. 2026. "Rebamipide Reprograms Hepatic Networks to Prevent and Reverse Metabolic-Dysfunction-Associated Steatotic Liver Disease: Multi-Omics Insights and Histological Validation" Pharmaceuticals 19, no. 4: 559. https://doi.org/10.3390/ph19040559
APA StyleAbo Nahas, H. H., Al-Dakhil, A., Mohamed, D. I., Yousef, T. A., Almaaty, A. H. A., El-Deen, I. M., Sembawa, H. A. M., & Saied, E. M. (2026). Rebamipide Reprograms Hepatic Networks to Prevent and Reverse Metabolic-Dysfunction-Associated Steatotic Liver Disease: Multi-Omics Insights and Histological Validation. Pharmaceuticals, 19(4), 559. https://doi.org/10.3390/ph19040559

