科研成果详情

题名AI-based digital pathology provides newer insights into lifestyle intervention-induced fibrosis regression in MASLD: An exploratory study
作者
发表日期2024-07-04
发表期刊Liver International   影响因子和分区
语种英语
原始文献类型Journal Article
关键词fibrosis regression lifestyle intervention metabolic dysfunction‐associated steatohepatitis qFibrosis
其他关键词FATTY LIVER-DISEASE ; NONALCOHOLIC STEATOHEPATITIS ; INTERIM ANALYSIS ; NAFLD ; RISK
摘要

Lifestyle intervention is the mainstay of therapy for metabolic dysfunction-associated steatohepatitis (MASH), and liver fibrosis is a key consequence of MASH that predicts adverse clinical outcomes. The placebo response plays a pivotal role in the outcome of MASH clinical trials. Second harmonic generation/two-photon excitation fluorescence (SHG/TPEF) microscopy with artificial intelligence analyses can provide an automated quantitative assessment of fibrosis features on a continuous scale called qFibrosis. In this exploratory study, we used this approach to gain insight into the effect of lifestyle intervention-induced fibrosis changes in MASH., We examined unstained sections from paired liver biopsies (baseline and end-of-intervention) from MASH individuals who had received either routine lifestyle intervention (RLI) (n = 35) or strengthened lifestyle intervention (SLI) (n = 17). We quantified liver fibrosis with qFibrosis in the portal tract, periportal, transitional, pericentral, and central vein regions., About 20% (7/35) and 65% (11/17) of patients had fibrosis regression in the RLI and SLI groups, respectively. Liver fibrosis tended towards no change or regression after each lifestyle intervention, and this phenomenon was more prominent in the SLI group. SLI-induced liver fibrosis regression was concentrated in the periportal region., Using digital pathology, we could detect a more pronounced fibrosis regression with SLI, mainly in the periportal region. With changes in fibrosis area in the periportal region, we could differentiate RLI and SLI patients in the placebo group in the MASH clinical trial. Digital pathology provides new insight into lifestyle-induced fibrosis regression and placebo responses, which is not captured by conventional histological staging.

资助项目National Natural Science Foundation of China [82370577, 82070588] ; National Key R&D Program of China [2023YFA1800801] ; High-Level Creative Talents from the Department of Public Health in Zhejiang Province [S2032102600032] ; Project of New Century 551 Talent Nurturing in Wenzhou ; School of Medicine, University of Verona, Verona, Italy ; Southampton NIHR Biomedical Research Centre, UK [NIHR203319]
出版者WILEY
ISSN1478-3223
EISSN1478-3231
卷号44期号:10页码:2572-2582
DOI10.1111/liv.16025
页数11
WOS类目Gastroenterology & Hepatology
WOS研究方向Gastroenterology & Hepatology
WOS记录号WOS:001262634100001
收录类别SCI
URL查看原文
PubMed ID38963299
SCOPUSEID2-s2.0-85197880285
通讯作者地址[Zheng, Ming-Hua]Wenzhou Med Univ, Affiliated Hosp 1, MAFLD Res Ctr, Dept Hepatol, 2 Fuxue Lane, Wenzhou 325000, Peoples R China. ; [You, Hong]Capital Med Univ, Beijing Friendship Hosp, Natl Clin Res Ctr Digest Dis, Liver Res Ctr,Beijing Key Lab Translat Med Liver, 95 Xi Cheng Dist, Beijing 100050, Peoples R China. ; [Sanyal, Arun J.]Virginia Commonwealth Univ, Stravitz Sanyal Inst Liver Dis & Metab Hlth, Sch Med, Richmond, VA 23298 USA.
Scopus学科分类Hepatology
SCOPUS_IDSCOPUS_ID:85197880285
TOP期刊TOP期刊
引用统计
文献类型期刊论文
条目标识符https://kms.wmu.edu.cn/handle/3ETUA0LF/215690
专题附属第一医院
温州医科大学
附属第一医院_病理科
附属第一医院_感染内科
作者单位
1.MAFLD Research Center, Department of Hepatology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.;
2.Liver Research Center, Beijing Friendship Hospital, Beijing Key Laboratory of Translational Medicine on Liver Cirrhosis, National Clinical Research Center of Digestive Diseases, Capital Medical University, Beijing, China.;
3.HistoIndex Pte Ltd, Singapore, Singapore.;
4.Department of Pathology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.;
5.Key Laboratory of Diagnosis and Treatment for the Development of Chronic Liver Disease in Zhejiang Province, Wenzhou, China.;
6.Department of Medicine, University of Verona, Verona, Italy.;
7.Metabolic Diseases Research Unit, IRCCS Sacro Cuore-Don Calabria Hospital, Negrar di Valpolicella, Verona, Italy.;
8.Southampton National Institute for Health and Care Research Biomedical Research Centre, University Hospital Southampton and University of Southampton, Southampton General Hospital, Southampton, UK.;
9.Hepatopancreatobiliary Center, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing, China.;
10.Department of Medicine and Therapeutics, Chinese University of Hong Kong, Hong Kong Special Administrative Region, China.;
11.Stravitz-Sanyal Institute for Liver Disease and Metabolic Health, Virginia Commonwealth University School of Medicine, Richmond, Virginia, USA.;
12.Institute of Hepatology, Wenzhou Medical University, Wenzhou, China.
第一作者单位附属第一医院
通讯作者单位附属第一医院
第一作者的第一单位附属第一医院
推荐引用方式
GB/T 7714
Hai-Yang Yuan,Xiao-Fei Tong,Ya-Yun Ren,et al. AI-based digital pathology provides newer insights into lifestyle intervention-induced fibrosis regression in MASLD: An exploratory study[J]. Liver International,2024,44(10):2572-2582.
APA Hai-Yang Yuan., Xiao-Fei Tong., Ya-Yun Ren., Yang-Yang Li., Xin-Lei Wang., ... & Ming-Hua Zheng. (2024). AI-based digital pathology provides newer insights into lifestyle intervention-induced fibrosis regression in MASLD: An exploratory study. Liver International, 44(10), 2572-2582.
MLA Hai-Yang Yuan,et al."AI-based digital pathology provides newer insights into lifestyle intervention-induced fibrosis regression in MASLD: An exploratory study".Liver International 44.10(2024):2572-2582.

条目包含的文件

下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
2024-AI qFibrosis in(6620KB)期刊论文作者接受稿开放获取CC BY-NC-SA浏览 下载
个性服务
查看访问统计
谷歌学术
谷歌学术中相似的文章
[Hai-Yang Yuan]的文章
[Xiao-Fei Tong]的文章
[Ya-Yun Ren]的文章
百度学术
百度学术中相似的文章
[Hai-Yang Yuan]的文章
[Xiao-Fei Tong]的文章
[Ya-Yun Ren]的文章
必应学术
必应学术中相似的文章
[Hai-Yang Yuan]的文章
[Xiao-Fei Tong]的文章
[Ya-Yun Ren]的文章
相关权益政策
暂无数据
收藏/分享
文件名: 2024-AI qFibrosis in lifestyle intervention fibrosis regression in MASLD-Liv Int online version(1).pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。