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Regression of liver fibrosis: evidence and challenges
It has been reported that liver fibrosis could be reversed after eliminating liver injuries. This article systematically summarizes the evidence of fibrosis regression based on histology, liver stiffness, and serum biomarkers, and discusses several clinically relevant challenges. Evidence from liver...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7401741/ https://www.ncbi.nlm.nih.gov/pubmed/32568866 http://dx.doi.org/10.1097/CM9.0000000000000835 |
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author | Sun, Ya-Meng Chen, Shu-Yan You, Hong |
author_facet | Sun, Ya-Meng Chen, Shu-Yan You, Hong |
author_sort | Sun, Ya-Meng |
collection | PubMed |
description | It has been reported that liver fibrosis could be reversed after eliminating liver injuries. This article systematically summarizes the evidence of fibrosis regression based on histology, liver stiffness, and serum biomarkers, and discusses several clinically relevant challenges. Evidence from liver biopsy has been regarded as the gold standard in the assessment of fibrosis regression. Semi-quantitative staging and grading systems are traditionally and routinely used to define regression. Recently, the predominantly regressive, indeterminate, and predominantly progressive score was proposed, based on the regressive features from “hepatic repair complex”, to provide additional information regarding the quality of fibrosis. For non-invasive assessment, although liver stiffness and serum biomarkers could be applied to reflect the dynamic changes of liver fibrosis, other confounding factors such as liver inflammation have to be considered. In conclusion, both histology and non-invasive methods can provide evidence regarding fibrosis regression. The predictive value of fibrosis regression in long-term prognosis warrants further investigation. |
format | Online Article Text |
id | pubmed-7401741 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-74017412020-08-05 Regression of liver fibrosis: evidence and challenges Sun, Ya-Meng Chen, Shu-Yan You, Hong Chin Med J (Engl) Review Articles It has been reported that liver fibrosis could be reversed after eliminating liver injuries. This article systematically summarizes the evidence of fibrosis regression based on histology, liver stiffness, and serum biomarkers, and discusses several clinically relevant challenges. Evidence from liver biopsy has been regarded as the gold standard in the assessment of fibrosis regression. Semi-quantitative staging and grading systems are traditionally and routinely used to define regression. Recently, the predominantly regressive, indeterminate, and predominantly progressive score was proposed, based on the regressive features from “hepatic repair complex”, to provide additional information regarding the quality of fibrosis. For non-invasive assessment, although liver stiffness and serum biomarkers could be applied to reflect the dynamic changes of liver fibrosis, other confounding factors such as liver inflammation have to be considered. In conclusion, both histology and non-invasive methods can provide evidence regarding fibrosis regression. The predictive value of fibrosis regression in long-term prognosis warrants further investigation. Wolters Kluwer Health 2020-07-20 2020-06-19 /pmc/articles/PMC7401741/ /pubmed/32568866 http://dx.doi.org/10.1097/CM9.0000000000000835 Text en Copyright © 2020 The Chinese Medical Association, produced by Wolters Kluwer, Inc. under the CC-BY-NC-ND license. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0 |
spellingShingle | Review Articles Sun, Ya-Meng Chen, Shu-Yan You, Hong Regression of liver fibrosis: evidence and challenges |
title | Regression of liver fibrosis: evidence and challenges |
title_full | Regression of liver fibrosis: evidence and challenges |
title_fullStr | Regression of liver fibrosis: evidence and challenges |
title_full_unstemmed | Regression of liver fibrosis: evidence and challenges |
title_short | Regression of liver fibrosis: evidence and challenges |
title_sort | regression of liver fibrosis: evidence and challenges |
topic | Review Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7401741/ https://www.ncbi.nlm.nih.gov/pubmed/32568866 http://dx.doi.org/10.1097/CM9.0000000000000835 |
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