| Literature DB >> 26998606 |
Andrea Baiocchini1, Claudia Montaldo1, Alice Conigliaro2, Alessio Grimaldi1, Virginia Correani3, Francesco Mura4, Fabiola Ciccosanti1, Nicolina Rotiroti1, Alessia Brenna1, Marzia Montalbano1, Gianpiero D'Offizi1, Maria Rosaria Capobianchi1, Riccardo Alessandro5,6, Mauro Piacentini1,7, Maria Eugenia Schininà3, Bruno Maras3, Franca Del Nonno1, Marco Tripodi1,2, Carmine Mancone1,2.
Abstract
Chronic liver damage leads to pathological accumulation of ECM proteins (liver fibrosis). Comprehensive characterization of the human ECM molecular composition is essential for gaining insights into the mechanisms of liver disease. To date, studies of ECM remodeling in human liver diseases have been hampered by the unavailability of purified ECM. Here, we developed a decellularization method to purify ECM scaffolds from human liver tissues. Histological and electron microscopy analyses demonstrated that the ECM scaffolds, devoid of plasma and cellular components, preserved the three-dimensional ECM structure and zonal distribution of ECM components. This method has been then applied on 57 liver biopsies of HCV-infected patients at different stages of liver fibrosis according to METAVIR classification. Label-free nLC-MS/MS proteomics and computation biology were performed to analyze the ECM molecular composition in liver fibrosis progression, thus unveiling protein expression signatures specific for the HCV-related liver fibrotic stages. In particular, the ECM molecular composition of liver fibrosis was found to involve dynamic changes in matrix stiffness, flexibility and density related to the dysregulation of predominant collagen, elastic fibers and minor components with both structural and signaling properties. This study contributes to the understanding of the molecular bases underlying ECM remodeling in liver fibrosis and suggests new molecular targets for fibrolytic strategies.Entities:
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Year: 2016 PMID: 26998606 PMCID: PMC4801190 DOI: 10.1371/journal.pone.0151736
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Decellularization of liver tissues.
(A) Schematic representation of the two-step decellularization protocol; for details see Methods section. (B) Representative images of human and murine liver tissues during the decellularization process at the indicated times. Scale bars: 5 mm. (C) Western blot analysis of supernatants for the indicated proteins. For each gel lane, 10 μg of protein sample were loaded; albumin was used as plasma and cellular protein markers; calnexin was used as a cellular protein marker. The lack of calnexin in supernatant 3 indicates the removal of plasma and cellular proteins from the scaffold. One representative experiment out of three is shown. (D) Percentage of ECM category components of human liver scaffold. The pie chart displays the results of one human decellularized liver biopsy with low fibrosis processed through the proteomics workflow. For each identified protein, protein abundance was calculated using the frequency of tandem mass spectra assigned to that protein.
Fig 2Histological and ultrastructural analysis of decellularized human liver ECM scaffold.
(A) Comparison of human normal liver (NLT) and decellularized liver (DLT) tissues for the indicated staining. Portal tracts (PT) and terminal hepatic veins (THV) are indicated. Scale bars: 100 μm. (B) SEM images of the extracellular matrix in the portal tract and parenchyma. Collagen fibers (white arrows) are indicated. Scale bars: 1 μm.
Fig 3Dynamic changes of the major ECM structural components in HCV-induced liver fibrosis progression.
Protein abundance was calculated using the LTQ intensity assigned to that protein. LTQ intensity was determined as average of three independent experiments. For details see S2 Table.
Fig 4Liver ECM proteome profiles in HCV-induced liver fibrosis progression.
Abundance ratios F2/F1, F3/F1 and F4/F1 were calculated and analyzed by heat map analysis. Each vertical column represents an individual abundance ratio and each horizontal row an individual protein. Protein abundance ratios were colored according to fold changes (yellow Log10 ratios: down-regulations; blue Log10 ratios: up-regulations), and the color scale indicates the magnitude of expression changes. Black squares indicate no change in protein abundance. Gray squares indicate missing data.
Fig 5Schema summarizing the ECM protein components that are differentially regulated in the transitions among the fibrotic stages.
Data are shown as follows: blue for up-regulated proteins, yellow for down-regulated proteins; the position in the graph indicates the transition between two fibrotic stages in which the protein was found differentially regulated.