• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

非酒精性脂肪性肝病的无创评估。

Noninvasive Evaluation of Nonalcoholic Fatty Liver Disease.

机构信息

Department of Internal Medicine, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Korea.

出版信息

Endocrinol Metab (Seoul). 2020 Jun;35(2):243-259. doi: 10.3803/EnM.2020.35.2.243. Epub 2020 Jun 24.

DOI:10.3803/EnM.2020.35.2.243
PMID:32615709
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7386127/
Abstract

Nonalcoholic fatty liver disease (NAFLD) is the most prevalent liver diseases and can progress to advanced fibrosis and end-stage liver disease. Thus, intensive research has been performed to develop noninvasive methods for the diagnosis of nonalcoholic steatohepatitis (NASH) and fibrosis. Currently, no single noninvasive tool covers all of the stages of pathologies and conditions of NAFLD, and the cost and feasibility of known techniques are also important issues. Blood biomarkers for NAFLD may be useful to select subjects who need ultrasonography (US) screening for NAFLD, and noninvasive tools for assessing fibrosis may be helpful to exclude the probability of significant fibrosis and to predict advanced fibrosis, thus guiding the decision of whether to perform liver biopsy in patients with NAFLD. Among various methods, magnetic resonance-based methods have been shown to perform better than other methods in assessing steatosis as well as in detecting hepatic fibrosis. Many genetic markers are associated with the development and progression of NAFLD. Further well-designed studies are needed to determine which biomarker panels, imaging studies, genetic marker panels, or combinations thereof perform well for diagnosing NAFLD, differentiating NASH and fibrosis, and following-up NAFLD, respectively.

摘要

非酒精性脂肪性肝病(NAFLD)是最常见的肝脏疾病,可进展为晚期纤维化和终末期肝病。因此,人们进行了大量研究以开发用于诊断非酒精性脂肪性肝炎(NASH)和纤维化的非侵入性方法。目前,没有单一的非侵入性工具可以涵盖 NAFLD 的所有病理和状况阶段,并且已知技术的成本和可行性也是重要问题。NAFLD 的血液生物标志物可用于选择需要超声(US)筛查 NAFLD 的受试者,而纤维化的非侵入性评估工具可能有助于排除显著纤维化的概率,并预测晚期纤维化,从而指导是否对患有 NAFLD 的患者进行肝活检的决策。在各种方法中,基于磁共振的方法在评估脂肪变性以及检测肝纤维化方面表现优于其他方法。许多遗传标志物与 NAFLD 的发生和进展有关。需要进一步进行精心设计的研究,以确定哪些生物标志物组合、影像学研究、遗传标志物组合或其组合在诊断 NAFLD、区分 NASH 和纤维化以及随访 NAFLD 方面表现良好。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/64d9/7386127/61cb26ddfa5f/enm-2020-35-2-243f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/64d9/7386127/9b6116ce8a27/enm-2020-35-2-243f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/64d9/7386127/2b705b95442a/enm-2020-35-2-243f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/64d9/7386127/bf7aa1a765fa/enm-2020-35-2-243f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/64d9/7386127/61cb26ddfa5f/enm-2020-35-2-243f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/64d9/7386127/9b6116ce8a27/enm-2020-35-2-243f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/64d9/7386127/2b705b95442a/enm-2020-35-2-243f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/64d9/7386127/bf7aa1a765fa/enm-2020-35-2-243f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/64d9/7386127/61cb26ddfa5f/enm-2020-35-2-243f4.jpg

相似文献

1
Noninvasive Evaluation of Nonalcoholic Fatty Liver Disease.非酒精性脂肪性肝病的无创评估。
Endocrinol Metab (Seoul). 2020 Jun;35(2):243-259. doi: 10.3803/EnM.2020.35.2.243. Epub 2020 Jun 24.
2
Noninvasive Assessment of Liver Disease in Patients With Nonalcoholic Fatty Liver Disease.非酒精性脂肪性肝病患者肝脏疾病的无创评估。
Gastroenterology. 2019 Apr;156(5):1264-1281.e4. doi: 10.1053/j.gastro.2018.12.036. Epub 2019 Jan 18.
3
Noninvasive evaluation of nonalcoholic fatty liver disease: Current evidence and practice.非酒精性脂肪性肝病的无创评估:当前证据与实践
World J Gastroenterol. 2019 Mar 21;25(11):1307-1326. doi: 10.3748/wjg.v25.i11.1307.
4
Current and Emerging Biomarkers and Imaging Modalities for Nonalcoholic Fatty Liver Disease: Clinical and Research Applications.当前和新兴的非酒精性脂肪性肝病生物标志物和影像学手段:临床和研究应用。
Clin Ther. 2021 Sep;43(9):1505-1522. doi: 10.1016/j.clinthera.2021.07.012. Epub 2021 Aug 13.
5
Limitations of liver biopsy and non-invasive diagnostic tests for the diagnosis of nonalcoholic fatty liver disease/nonalcoholic steatohepatitis.肝活检及非侵入性诊断测试在非酒精性脂肪性肝病/非酒精性脂肪性肝炎诊断中的局限性
World J Gastroenterol. 2014 Jan 14;20(2):475-85. doi: 10.3748/wjg.v20.i2.475.
6
Diagnosis and Evaluation of Nonalcoholic Fatty Liver Disease/Nonalcoholic Steatohepatitis, Including Noninvasive Biomarkers and Transient Elastography.非酒精性脂肪性肝病/非酒精性脂肪性肝炎的诊断和评估,包括无创生物标志物和瞬时弹性成像。
Clin Liver Dis. 2018 Feb;22(1):73-92. doi: 10.1016/j.cld.2017.08.004.
7
How to Diagnose Nonalcoholic Fatty Liver Disease.如何诊断非酒精性脂肪性肝病。
Dig Dis. 2016;34 Suppl 1:19-26. doi: 10.1159/000447277. Epub 2016 Aug 22.
8
Diagnosis of Non-alcoholic Fatty Liver Disease (NAFLD): Current Concepts.非酒精性脂肪性肝病 (NAFLD) 的诊断:现状。
Curr Pharm Des. 2018;24(38):4574-4586. doi: 10.2174/1381612825666190117102111.
9
Noninvasive evaluation of NAFLD.非酒精性脂肪性肝病的无创评估。
Nat Rev Gastroenterol Hepatol. 2013 Nov;10(11):666-75. doi: 10.1038/nrgastro.2013.175. Epub 2013 Sep 24.
10
Current complications and challenges in nonalcoholic steatohepatitis screening and diagnosis.非酒精性脂肪性肝炎筛查与诊断中的当前并发症及挑战
Expert Rev Gastroenterol Hepatol. 2016;10(1):63-71. doi: 10.1586/17474124.2016.1099433. Epub 2015 Oct 15.

引用本文的文献

1
Hepatic Insulin Resistance and Steatosis in Metabolic Dysfunction-Associated Steatotic Liver Disease: New Insights into Mechanisms and Clinical Implications.代谢功能障碍相关脂肪性肝病中的肝脏胰岛素抵抗与脂肪变性:机制及临床意义的新见解
Diabetes Metab J. 2025 Sep;49(5):964-986. doi: 10.4093/dmj.2025.0644. Epub 2025 Sep 1.
2
Evaluating the role of IER3+ macrophages in the prognosis of liver fibrosis by bulk and single-cell transcriptional analyses.通过批量和单细胞转录分析评估IER3+巨噬细胞在肝纤维化预后中的作用。
ILIVER. 2024 Nov 7;3(4):100132. doi: 10.1016/j.iliver.2024.100132. eCollection 2024 Dec.
3
A Composite Blood Biomarker Including AKR1B10 and Cytokeratin 18 for Progressive Types of Nonalcoholic Fatty Liver Disease.

本文引用的文献

1
Toward Genetic Prediction of Nonalcoholic Fatty Liver Disease Trajectories: PNPLA3 and Beyond.朝着非酒精性脂肪性肝病轨迹的遗传预测:PNPLA3 及其以外的进展。
Gastroenterology. 2020 May;158(7):1865-1880.e1. doi: 10.1053/j.gastro.2020.01.053. Epub 2020 Feb 15.
2
Established and emerging factors affecting the progression of nonalcoholic fatty liver disease.影响非酒精性脂肪性肝病进展的既存和新兴因素。
Metabolism. 2020 Oct;111S:154183. doi: 10.1016/j.metabol.2020.154183. Epub 2020 Feb 14.
3
Nonalcoholic Fatty Liver Disease 2020: The State of the Disease.
一种包含 AKR1B10 和细胞角蛋白 18 的复合血液生物标志物,用于诊断非酒精性脂肪性肝病的进展类型。
Diabetes Metab J. 2024 Jul;48(4):740-751. doi: 10.4093/dmj.2023.0189. Epub 2024 Feb 1.
4
Intact ketogenesis predicted reduced risk of moderate-severe metabolic-associated fatty liver disease assessed by liver transient elastography in newly diagnosed type 2 diabetes.新诊断 2 型糖尿病患者中,通过肝脏瞬时弹性成像评估,未受损酮体生成可降低中重度代谢相关脂肪性肝病风险。
Front Endocrinol (Lausanne). 2024 Jan 8;14:1306134. doi: 10.3389/fendo.2023.1306134. eCollection 2023.
5
Advances in Noninvasive Biomarkers for Nonalcoholic Fatty Liver Disease.非酒精性脂肪性肝病无创生物标志物的进展
Metabolites. 2023 Oct 29;13(11):1115. doi: 10.3390/metabo13111115.
6
Hepatic Involvement across the Metabolic Syndrome Spectrum: Non-Invasive Assessment and Risk Prediction Using Machine Learning.代谢综合征谱系中的肝脏受累:使用机器学习的非侵入性评估和风险预测
J Clin Med. 2023 Aug 30;12(17):5657. doi: 10.3390/jcm12175657.
7
Greater Severity of Steatosis Is Associated with a Higher Risk of Incident Diabetes: A Retrospective Longitudinal Study.脂肪变性严重程度与新发糖尿病风险增加相关:一项回顾性纵向研究。
Endocrinol Metab (Seoul). 2023 Aug;38(4):418-425. doi: 10.3803/EnM.2023.1729. Epub 2023 Jul 12.
8
Metabolic Dysfunction-Associated Fatty Liver Disease and Mortality: A Population-Based Cohort Study.代谢功能障碍相关脂肪性肝病与死亡率:一项基于人群的队列研究。
Diabetes Metab J. 2023 Mar;47(2):220-231. doi: 10.4093/dmj.2021.0327. Epub 2023 Jan 12.
9
Accuracy of FIB-4 to Detect Elevated Liver Stiffness Measurements in Patients with Non-Alcoholic Fatty Liver Disease: A Cross-Sectional Study in Referral Centers.FIB-4 检测非酒精性脂肪性肝病患者肝硬度测量值升高的准确性:转诊中心的横断面研究。
Int J Mol Sci. 2022 Oct 18;23(20):12489. doi: 10.3390/ijms232012489.
10
Plasma Metabolomics and Machine Learning-Driven Novel Diagnostic Signature for Non-Alcoholic Steatohepatitis.血浆代谢组学与机器学习驱动的非酒精性脂肪性肝炎新型诊断标志物
Biomedicines. 2022 Jul 11;10(7):1669. doi: 10.3390/biomedicines10071669.
2020年非酒精性脂肪性肝病:疾病现状
Gastroenterology. 2020 May;158(7):1851-1864. doi: 10.1053/j.gastro.2020.01.052. Epub 2020 Feb 13.
4
Natural History of Nonalcoholic Fatty Liver Disease: Implications for Clinical Practice and an Individualized Approach.非酒精性脂肪性肝病自然史:对临床实践和个体化方法的启示。
Can J Gastroenterol Hepatol. 2020 Jan 21;2020:9181368. doi: 10.1155/2020/9181368. eCollection 2020.
5
Association Between Fibrosis Stage and Outcomes of Patients With Nonalcoholic Fatty Liver Disease: A Systematic Review and Meta-Analysis.纤维化分期与非酒精性脂肪性肝病患者结局的相关性:系统评价和荟萃分析。
Gastroenterology. 2020 May;158(6):1611-1625.e12. doi: 10.1053/j.gastro.2020.01.043. Epub 2020 Feb 4.
6
Clinical Utility of an Increase in Magnetic Resonance Elastography in Predicting Fibrosis Progression in Nonalcoholic Fatty Liver Disease.磁共振弹性成像增加对非酒精性脂肪性肝病纤维化进展预测的临床应用价值。
Hepatology. 2020 Mar;71(3):849-860. doi: 10.1002/hep.30974. Epub 2020 Jan 27.
7
Noninvasive evaluation of nonalcoholic fatty liver disease: Current evidence and practice.非酒精性脂肪性肝病的无创评估:当前证据与实践
World J Gastroenterol. 2019 Mar 21;25(11):1307-1326. doi: 10.3748/wjg.v25.i11.1307.
8
Nonalcoholic Fatty Liver Disease in Diabetes. Part I: Epidemiology and Diagnosis.非酒精性脂肪性肝病与糖尿病。第一部分:流行病学和诊断。
Diabetes Metab J. 2019 Feb;43(1):31-45. doi: 10.4093/dmj.2019.0011.
9
17-Beta Hydroxysteroid Dehydrogenase 13 Is a Hepatic Retinol Dehydrogenase Associated With Histological Features of Nonalcoholic Fatty Liver Disease.17-β 羟甾类脱氢酶 13 是一种与非酒精性脂肪性肝病组织学特征相关的肝视黄醇脱氢酶。
Hepatology. 2019 Apr;69(4):1504-1519. doi: 10.1002/hep.30350. Epub 2019 Mar 5.
10
Non-alcoholic fatty liver disease: a narrative review of genetics.非酒精性脂肪性肝病:遗传学的叙述性综述
J Biomed Res. 2018 Nov 20;32(5):389-400. doi: 10.7555/JBR.32.20180045.