Lipids & metabolic liver disease
Proteomic Profiling of Plasma to Uncover Novel Intervention Targets and Prognostic Biomarkers for Chronic Liver Diseases
Authors' conclusion
This study identified key circulating protein markers for CLD. Protein-based profiling demonstrated strong predictive potential for CLD and related outcomes.
Study context
- Population
- Proteomic data from deCODE Genetics; prediction in a healthy population without liver diseases at baseline
- Outcome
- Proteins associated with CLD and predictive performance
Methodological detailsproteome-wide Mendelian randomization (MR), Bayesian colocalization, summary-data-based MR, multivariable MR, protein risk score
- Proteome-wide MR
- Bayesian colocalization
- Summary-data-based MR
- Multivariable MR
- Protein risk score
Performance
As reported in the abstract
- Plasma proteins genetically associated with MASLD
- 16
- Plasma proteins genetically associated with alcoholic liver disease (ALD)
- 5
- Plasma proteins genetically associated with cirrhosis
- 4
- Proteins associated with chronic liver disease (CLD) progression
- IGSF3, FTCD, DCXR, ADH1B and ACY1
- Protein model C-index for ALD
- 0.89
- Protein model C-index for liver cancer
- 0.84
- Protein model C-index for liver failure
- 0.84
Further findings
- Five genetically predicted modifiable factors (BMI, WHR, HbA1c, T2D, leisure television watching) associated with CLD-related proteins
Original publication
Proteomic Profiling of Plasma to Uncover Novel Intervention Targets and Prognostic Biomarkers for Chronic Liver Diseases. Diabetes Obes Metab. Published 26 March 2026. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →