| Literature DB >> 22872786 |
Tianhui Liu1, Xiaoming Wang, Morten A Karsdal, Diana J Leeming, Federica Genovese.
Abstract
Fibrosis is a hallmark histologic event of chronic liver diseases and is characterized by the excessive accumulation and reorganization of the extracellular matrix (ECM). The gold standard for assessment of fibrosis is liver biopsy. As this procedure has various limitations, including risk of patient injury and sampling error, a non-invasive serum marker for liver fibrosis is desirable. The increasing understanding of the pathogenesis of hepatic fibrosis has suggested several markers which could be useful indicators of hepatic fibrogenesis and fibrosis. These markers include serum markers of liver function, ECM synthesis, fibrolytic processes, ECM degradation and fibrogenesis related cytokines. Recently, neo-epitopes, which are post-translational modifications of proteins, have been successfully used in bone and cartilage diseases which are characterized by extensive ECM remodeling. Increasing numbers of studies are being undertaken to identify neo-epitopes generated during liver fibrosis, and which ultimately might be useful for diagnosing and monitoring fibrogenesis. To date, the metalloproteinases generated fragment of collagen I, III, IV and VI have been proven to be elevated in two rat models of fibrosis. This review summarizes the recent efforts that have been made to identify potentially reliable non-invasive serum markers. We used the recently proposed BIPED (Burden of disease, Investigative, Prognostic, Efficacy and Diagnostic) system to characterize potential serum markers and neo-epitope markers that have been identified to date.Entities:
Keywords: extracellular matrix; liver fibrosis; neo-epitope; serum marker
Year: 2012 PMID: 22872786 PMCID: PMC3412619 DOI: 10.4137/BMI.S10009
Source DB: PubMed Journal: Biomark Insights ISSN: 1177-2719
Figure 1Mechanisms of hepatic fibrogenesis and possible molecular serum biomarkers. Some molecular serum biomarkers may reflect the pathogenesis of liver fibrosis: neo-epitopes, are related to basement membrane degradation; pro-collagen, is related to extracellular matrix (ECM) synthesis; MMPs and TIMPs are relate to ECM fibrolytic processes; ALT and AST are related to liver function and injury; other serum markers are fibrogenesis-related cytokines.
Molecular serum markers of liver fibrosis.
| ALT | Metabolic enzymes in the liver | I | |
| AST | Metabolic enzymes in the liver | I | |
| PIIINP | Propeptide of collagen type III | I,D | |
| PINP | Propeptide of collagen type I | I | |
| Type IV collagen | Basement membrane formation | I,D | |
| P4NP 7S | N-terminal pro-peptides of type IV collagen 7S domain | I | |
| PVCP | Propeptide of collagen type V | I | |
| HA | Component of ECM | I,D | |
| YKL-40 | Glycoprotein involved in ECM turnover | I,D | |
| MFAP | Glycoprotein involved in ECM turnover | I,D | |
| MMP-1/MMP-13 | Degrade fibrotic matrix | I | |
| MMP-2 | Degrades basal membranes and fibrotic matrix | I | |
| MMP-9 | Degrades basal membranes | I | |
| TIMP-1 | Inhibits MMP-1 activity | I | |
| CO3-610 | Collagen type III fragment generated by MMP-9 | I | |
| CO6-MMP | Collagen type VI fragment generated by MMP-2,9 | I | |
| CO1-764 | Collagen type I fragment generated by MMP-2,9,13 | I | |
| C4M | Collagen type IV fragment generated by MMP-9, | I | |
| TGF-β | Growth factor stimulates production of ECM by HSC | I | |
| CTGF | Potent pro-fibrogenic factor | I | |
| PDGF | Growth factor stimulates proliferation of HSC | I | |
| TNF-α | Inflammatory cytokine involved in fibrogenesis | I | |
| IL-4,6,8,18 | Inflammatory cytokine involved in fibrogenesis | I |
The BIPED classification.
| Burden of disease (B) | Burden-of-disease markers assess the severity or extent of disease, typically at a single point in time, among individuals with a certain disease. |
| Investigative (I) | An investigative marker lacks sufficient information to allow its inclusion in one of the existing biomarker categories. |
| Prognostic (P) | The key feature of a prognostic marker is the ability to predict the future onset of a disease. |
| Efficacy of intervention (E) | Information about the efficacy of treatment among persons with a certain disease or those at high risk for its development. |
| Diagnostic (D) | Diagnostic markers are defined by the ability to classify individuals as either having or not having a disease. |
Extracted from Bauer et al.124