Novel biomarkers for alcohol-associated liver disease and their implications across clinical settings.

Alcohol-associated liver disease (ALD) is a leading cause of preventable cirrhosis, hepatocellular carcinoma (HCC), and liver-related mortality, yet current laboratory and imaging tools detect only late-stage disease. This narrative review synthesizes emerging evidence on novel biomarkers that capture the multidimensional pathophysiology of ALD and discusses their utility for routine clinical practice. Traditional serum-based liver fibrosis markers (e.g., cytokeratin-18 fragments, Pro-C3, the enhanced liver fibrosis test) improve non-invasive staging risk beyond aminotransferases, while elastography techniques, such as vibration-controlled transient elastography and magnetic resonance elastography, can also quantify liver stiffness with high precision. Among novel mechanistic biomarkers, genetic polymorphisms in PNPLA3, TM6SF2, MBOAT7, HSD17B13, and polygenic risk scores define lifetime risk, whereas sex-specific hormonal milieus also modify susceptibility and progression. Moreover, gut dysbiosis signatures, including reduced Faecalibacterium prausnitzii, Akkermansia muciniphila, and a lower Firmicutes/Bacteroidetes ratio, and their metabolites (short-chain fatty acids, and bile acids, trimethylamine N-oxide) correlate with liver inflammation and fibrosis. Endocrine imbalances of cortisol, testosterone, and thyroid hormones further stratify metabolic vulnerability. Ultimately, multi-omics platforms (i.e., transcriptomics, lipidomics, proteomics, metabolomics, and epigenomics) can reveal distinct molecular signatures that predict steatohepatitis, fibrogenesis, and early HCC. Integrating these biomarkers enables phase-specific enrichment strategies, earlier intervention windows, adaptive dose-finding, and mechanismbased endpoints in ALD trials. Remaining challenges include assay standardization, validation across diverse cohorts, and incorporation into regulatory frameworks. Future work could evaluate cost-effectiveness and feasibility in routine clinical practice. Widespread adoption promises earlier diagnosis, personalized risk reduction, and more efficient drug development for this globally prevalent disorder.