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Biomarkers From the Microbiome to Predict ALD Progression and Its Severity: A Comprehensive Review
Suraj Mishra1, Harshrajsinh Solanki1, Palash Mandal1
1Department of Biological Sciences, P.D. Patel Institute of Applied Sciences, Charotar University of Science and Technology, Changa, Gujarat, India, charusat.ac.in.
Mediators of Inflammation
|July 30, 2026
Summary
Gut microbiota alterations offer promising biomarkers for early detection and staging of alcohol-associated liver disease (ALD). Research shows these microbial changes can help diagnose and track ALD progression, improving patient outcomes.
Area of Science:
- Hepatology
- Microbiology
- Gastroenterology
Background:
- Alcohol consumption is a leading global health concern, contributing to millions of deaths annually.
- Alcohol-associated liver disease (ALD) progresses through distinct stages, from fatty liver to cancer, with early intervention crucial for reversal.
- Current diagnostic methods for ALD lack the sensitivity and specificity needed for early detection and accurate staging.
Purpose of the Study:
- To review the alterations in gut microbiota composition at various stages of ALD.
- To evaluate the diagnostic and prognostic potential of gut microbiota-associated biomarkers, including microbial metabolites.
- To discuss the limitations of current biomarkers and the emerging role of microbiome-derived signals in understanding ALD mechanisms.
Main Methods:
- Systematic review of existing literature on gut microbiota in alcohol-associated liver disease.
- Analysis of studies focusing on microbial metabolites and other microbiome-derived signals as biomarkers.
- Evaluation of the diagnostic and prognostic utility of identified biomarkers.
Main Results:
- Significant alterations in gut microbiota occur across the spectrum of alcohol-associated liver disease.
- Microbial metabolites and other microbiome-derived signals show potential as novel biomarkers for ALD diagnosis and staging.
- Existing biomarkers for ALD are limited in sensitivity and specificity for early disease detection.
Conclusions:
- Gut microbiota-related biomarkers represent a promising, albeit evolving, approach for improving early detection of ALD.
- Understanding microbiome-derived signals can enhance the mechanistic insight into ALD progression.
- Further research is needed to validate and implement these novel biomarkers in clinical practice for ALD management.