Multiparametric magnetic resonance imaging/magnetic resonance elastography assesses progression and regression of steatosis, inflammation, and fibrosis in alcohol-associated liver disease.


Journal

Alcoholism, clinical and experimental research
ISSN: 1530-0277
Titre abrégé: Alcohol Clin Exp Res
Pays: England
ID NLM: 7707242

Informations de publication

Date de publication:
10 2021
Historique:
revised: 25 07 2021
received: 07 04 2021
accepted: 13 08 2021
pubmed: 7 9 2021
medline: 5 3 2022
entrez: 6 9 2021
Statut: ppublish

Résumé

Magnetic resonance imaging (MRI) and MRI-based elastography (MRE) are the most promising noninvasive techniques in assessing liver diseases. The purpose of this study was to evaluate an advanced multiparametric imaging method for staging disease and assessing treatment response in realistic preclinical alcohol-associated liver disease (ALD). We utilized four different preclinical mouse models in our study: Model 1-mice were fed a fast-food diet and fructose water for 48 weeks to induce nonalcoholic fatty liver disease; Model 2-mice were fed chronic-binge ethanol (EtOH) for 10 days or 8 weeks to induce liver steatosis/inflammation. Two groups of mice were treated with interleukin-22 at different time points to induce disease regression; Model 3-mice were administered CCl Multiparametric models with combinations of biomarkers (LS, LM, DR, and PDFF) used noninvasively to predict the histologic severity and regression of steatosis, inflammation, and fibrosis were highly accurate (area under the curve > 0.84 for all). A three-parameter model that incorporates LS, DR, and ALT predicted histologic fibrosis progression (r = 0.84, p < 0.0001) and regression (r = 0.79, p < 0.0001) as measured by collagen content in livers. This preclinical study provides evidence that multiparametric MRI/MRE can be used noninvasively to assess disease severity and monitor treatment response in ALD.

Sections du résumé

BACKGROUND
Magnetic resonance imaging (MRI) and MRI-based elastography (MRE) are the most promising noninvasive techniques in assessing liver diseases. The purpose of this study was to evaluate an advanced multiparametric imaging method for staging disease and assessing treatment response in realistic preclinical alcohol-associated liver disease (ALD).
METHODS
We utilized four different preclinical mouse models in our study: Model 1-mice were fed a fast-food diet and fructose water for 48 weeks to induce nonalcoholic fatty liver disease; Model 2-mice were fed chronic-binge ethanol (EtOH) for 10 days or 8 weeks to induce liver steatosis/inflammation. Two groups of mice were treated with interleukin-22 at different time points to induce disease regression; Model 3-mice were administered CCl
RESULTS
Multiparametric models with combinations of biomarkers (LS, LM, DR, and PDFF) used noninvasively to predict the histologic severity and regression of steatosis, inflammation, and fibrosis were highly accurate (area under the curve > 0.84 for all). A three-parameter model that incorporates LS, DR, and ALT predicted histologic fibrosis progression (r = 0.84, p < 0.0001) and regression (r = 0.79, p < 0.0001) as measured by collagen content in livers.
CONCLUSION
This preclinical study provides evidence that multiparametric MRI/MRE can be used noninvasively to assess disease severity and monitor treatment response in ALD.

Identifiants

pubmed: 34486129
doi: 10.1111/acer.14699
pmc: PMC8602761
mid: NIHMS1735176
doi:

Substances chimiques

Interleukins 0
Ethanol 3K9958V90M
Collagen 9007-34-5
Carbon Tetrachloride CL2T97X0V0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

2103-2117

Subventions

Organisme : NIAAA NIH HHS
ID : UH3 AA026887
Pays : United States
Organisme : NIAAA NIH HHS
ID : R01 AA021171
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB017197
Pays : United States
Organisme : NIAAA NIH HHS
ID : UH2 AA026887
Pays : United States
Organisme : NIBIB NIH HHS
ID : R37 EB001981
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB001981
Pays : United States
Organisme : NIAAA NIH HHS
ID : R37 AA021171
Pays : United States

Informations de copyright

© 2021 by the Research Society on Alcoholism.

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Auteurs

Jingbiao Chen (J)

The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA.

Rosa Martin-Mateos (R)

Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA.
Gastroenterology Department, Hospital Universitario Ramón y Cajal, Madrid, Spain.

Jiahui Li (J)

Radiology, Mayo Clinic, Rochester, Minnesota, USA.

Ziying Yin (Z)

Radiology, Mayo Clinic, Rochester, Minnesota, USA.

Jie Chen (J)

Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Department of Radiology, West China Hospital, Chengdu, China.

Xin Lu (X)

Radiology, Mayo Clinic, Rochester, Minnesota, USA.

Kevin J Glaser (KJ)

Radiology, Mayo Clinic, Rochester, Minnesota, USA.

Taofic Mounajjed (T)

Anatomic Pathology, Mayo Clinic, Rochester, Minnesota, USA.

Hiroaki Yashiro (H)

Research and Development, Takeda Pharmaceuticals International Co., Cambridge, MA, USA.

Jenifer Siegelman (J)

Research and Development, Takeda Pharmaceuticals International Co., Cambridge, MA, USA.

Christopher T Winkelmann (CT)

Research and Development, Takeda Pharmaceuticals International Co., Cambridge, MA, USA.

Jin Wang (J)

The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.

Richard L Ehman (RL)

Radiology, Mayo Clinic, Rochester, Minnesota, USA.

Vijay H Shah (VH)

Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA.

Meng Yin (M)

Radiology, Mayo Clinic, Rochester, Minnesota, USA.

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Classifications MeSH