{"title":"Automated quantification of collagen proportionate area correlates with molecular and histological markers of fibrosis in CCl4-treated rats","authors":"Bernie Efole , Mathilde Mouchiroud , Alexandra Dubé , Andréa Allaire , Sébastien M. Labbé , Cindy Serdjebi , Olivier Barbier , Alexandre Caron","doi":"10.1016/j.yexmp.2025.104996","DOIUrl":null,"url":null,"abstract":"<div><div>Liver fibrosis results from chronic liver injury and is characterized by excessive accumulation of extracellular matrix due to sustained wound-healing responses. Although histological evaluation remains the gold standard for fibrosis assessment, its subjectivity can limit reproducibility. In this study, we evaluated an automated image analysis software, MorphoQuant, for liver fibrosis quantification in a rat model of CCl4-induced liver injury. Male Wistar rats were treated with CCl4 or vehicle for six weeks, and fibrosis severity was assessed using both the conventional Ishak staging system and automated quantification of collagen proportionate area (CPA). Automated CPA strongly correlated with Ishak stage, liver index, and plasma aminotransferase levels. Additionally, CPA values were significantly associated with the expression of fibrosis-related genes and macrophage infiltration, highlighting the software's ability to assess both fibrosis progression and inflammatory responses. These findings support the use of MorphoQuant as a robust, reader-independent tool that enhance analytical consistency in preclinical models of liver fibrosis.</div></div>","PeriodicalId":12176,"journal":{"name":"Experimental and molecular pathology","volume":"144 ","pages":"Article 104996"},"PeriodicalIF":3.7000,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Experimental and molecular pathology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0014480025000462","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PATHOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Liver fibrosis results from chronic liver injury and is characterized by excessive accumulation of extracellular matrix due to sustained wound-healing responses. Although histological evaluation remains the gold standard for fibrosis assessment, its subjectivity can limit reproducibility. In this study, we evaluated an automated image analysis software, MorphoQuant, for liver fibrosis quantification in a rat model of CCl4-induced liver injury. Male Wistar rats were treated with CCl4 or vehicle for six weeks, and fibrosis severity was assessed using both the conventional Ishak staging system and automated quantification of collagen proportionate area (CPA). Automated CPA strongly correlated with Ishak stage, liver index, and plasma aminotransferase levels. Additionally, CPA values were significantly associated with the expression of fibrosis-related genes and macrophage infiltration, highlighting the software's ability to assess both fibrosis progression and inflammatory responses. These findings support the use of MorphoQuant as a robust, reader-independent tool that enhance analytical consistency in preclinical models of liver fibrosis.
期刊介绍:
Under new editorial leadership, Experimental and Molecular Pathology presents original articles on disease processes in relation to structural and biochemical alterations in mammalian tissues and fluids and on the application of newer techniques of molecular biology to problems of pathology in humans and other animals. The journal also publishes selected interpretive synthesis reviews by bench level investigators working at the "cutting edge" of contemporary research in pathology. In addition, special thematic issues present original research reports that unravel some of Nature''s most jealously guarded secrets on the pathologic basis of disease.
Research Areas include: Stem cells; Neoangiogenesis; Molecular diagnostics; Polymerase chain reaction; In situ hybridization; DNA sequencing; Cell receptors; Carcinogenesis; Pathobiology of neoplasia; Complex infectious diseases; Transplantation; Cytokines; Flow cytomeric analysis; Inflammation; Cellular injury; Immunology and hypersensitivity; Athersclerosis.