Non-invasive tests of fibrosis in the management of MASLD
Non-invasive tests of fibrosis in the management of MASLD
With the recent conditional approval of resmetirom by the US Food and Drug Administration, the treatment of metabolic dysfunction-associated steatotic liver disease (MASLD) has potentially entered a new era, requiring a comprehensive understanding of the strengths and weaknesses of non-invasive tests (NITs) for diagnosing and monitoring MASLD-related fibrosis. This article focuses on F2/F3 liver fibrosis and summarises the current application status of NITs, including serum biomarkers, imaging methods and their combined use in the management of MASLD. The article highlights the application of NITs in several areas, including diagnosis and baseline stratification, monitoring progression of fibrosis, prediction of liver-related clinical events, as well as assessment of disease regression, remission and long-term liver-related outcomes. Furthermore, we compare the advantages and limitations of NITs and propose practical strategies for integrating them into clinical practice. Additionally, we highlight the main challenges currently faced in the application of these NITs and potential future research avenues. We suggest that future studies prioritise the validation of NITs across diverse ethnic populations. We believe it essential to explore the role of NITs in dynamic monitoring and integration of multiomics technologies, artificial intelligence and personalised risk models to improve diagnostic accuracy and treatment planning.
1741-1750
Feng, Gong
953143fb-6dcf-4343-9715-f6c478c07ae0
Wong, Vincent Wai-Sun
18757826-c9e9-44aa-adf3-819af60fa841
Targher, Giovanni
43fee0bd-c3e6-4b9f-bff0-60d97c8fbcc0
Byrne, Chrisopher D.
1370b997-cead-4229-83a7-53301ed2a43c
Zheng, Ming-Hua
7acb6378-49ba-4e4f-82fb-1c97f9a6482e
8 September 2025
Feng, Gong
953143fb-6dcf-4343-9715-f6c478c07ae0
Wong, Vincent Wai-Sun
18757826-c9e9-44aa-adf3-819af60fa841
Targher, Giovanni
43fee0bd-c3e6-4b9f-bff0-60d97c8fbcc0
Byrne, Chrisopher D.
1370b997-cead-4229-83a7-53301ed2a43c
Zheng, Ming-Hua
7acb6378-49ba-4e4f-82fb-1c97f9a6482e
Feng, Gong, Wong, Vincent Wai-Sun, Targher, Giovanni, Byrne, Chrisopher D. and Zheng, Ming-Hua
(2025)
Non-invasive tests of fibrosis in the management of MASLD.
Gut, 74 (10), .
(doi:10.1136/gutjnl-2025-335542).
Abstract
With the recent conditional approval of resmetirom by the US Food and Drug Administration, the treatment of metabolic dysfunction-associated steatotic liver disease (MASLD) has potentially entered a new era, requiring a comprehensive understanding of the strengths and weaknesses of non-invasive tests (NITs) for diagnosing and monitoring MASLD-related fibrosis. This article focuses on F2/F3 liver fibrosis and summarises the current application status of NITs, including serum biomarkers, imaging methods and their combined use in the management of MASLD. The article highlights the application of NITs in several areas, including diagnosis and baseline stratification, monitoring progression of fibrosis, prediction of liver-related clinical events, as well as assessment of disease regression, remission and long-term liver-related outcomes. Furthermore, we compare the advantages and limitations of NITs and propose practical strategies for integrating them into clinical practice. Additionally, we highlight the main challenges currently faced in the application of these NITs and potential future research avenues. We suggest that future studies prioritise the validation of NITs across diverse ethnic populations. We believe it essential to explore the role of NITs in dynamic monitoring and integration of multiomics technologies, artificial intelligence and personalised risk models to improve diagnostic accuracy and treatment planning.
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R1_NITs for fibrosis_20250608
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Accepted/In Press date: 1 July 2025
e-pub ahead of print date: 17 July 2025
Published date: 8 September 2025
Identifiers
Local EPrints ID: 504034
URI: http://eprints.soton.ac.uk/id/eprint/504034
ISSN: 1468-3288
PURE UUID: f5ed870b-21f8-4386-9049-bfba377bb6fd
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Date deposited: 21 Aug 2025 16:04
Last modified: 18 Sep 2025 01:37
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Author:
Gong Feng
Author:
Vincent Wai-Sun Wong
Author:
Giovanni Targher
Author:
Ming-Hua Zheng
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