Publication
Serum biomarkers correlated with liver stiffness assessed in a multicenter study of pediatric cholestatic liver disease
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- Persistent URL
- Last modified
- 09/24/2025
- Type of Material
- Authors
- Language
- English
- Date
- 2022-11-03
- Publisher
- WILEY
- Publication Version
- Copyright Statement
- © 2023 American Association for the Study of Liver Diseases.
- Final Published Version (URL)
- Title of Journal or Parent Work
- Volume
- 77
- Issue
- 2
- Start Page
- 530
- End Page
- 545
- Supplemental Material (URL)
- Abstract
- Background and Aims: Detailed investigation of the biological pathways leading to hepatic fibrosis and identification of liver fibrosis biomarkers may facilitate early interventions for pediatric cholestasis. Approach and Results: A targeted enzyme-linked immunosorbent assay–based panel of nine biomarkers (lysyl oxidase, tissue inhibitor matrix metalloproteinase (MMP) 1, connective tissue growth factor [CTGF], IL-8, endoglin, periostin, Mac-2–binding protein, MMP-3, and MMP-7) was examined in children with biliary atresia (BA; n = 187), alpha-1 antitrypsin deficiency (A1AT; n = 78), and Alagille syndrome (ALGS; n = 65) and correlated with liver stiffness (LSM) and biochemical measures of liver disease. Median age and LSM were 9 years and 9.5 kPa. After adjusting for covariates, there were positive correlations among LSM and endoglin (p = 0.04) and IL-8 (p < 0.001) and MMP-7 (p < 0.001) in participants with BA. The best prediction model for LSM in BA using clinical and lab measurements had an R2 = 0.437; adding IL-8 and MMP-7 improved R2 to 0.523 and 0.526 (both p < 0.0001). In participants with A1AT, CTGF and LSM were negatively correlated (p = 0.004); adding CTGF to an LSM prediction model improved R2 from 0.524 to 0.577 (p = 0.0033). Biomarkers did not correlate with LSM in ALGS. A significant number of biomarker/lab correlations were found in participants with BA but not those with A1AT or ALGS. Conclusions: Endoglin, IL-8, and MMP-7 significantly correlate with increased LSM in children with BA, whereas CTGF inversely correlates with LSM in participants with A1AT; these biomarkers appear to enhance prediction of LSM beyond clinical tests. Future disease-specific investigations of change in these biomarkers over time and as predictors of clinical outcomes will be important.
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