Shedding light on non-alcoholic fatty liver disease: Pathogenesis, molecular mechanisms, models, and emerging therapeutics

脂肪肝 肝硬化 非酒精性脂肪肝 肝细胞癌 医学 疾病 慢性肝病 酒精性肝病 胰岛素抵抗 肝病 发病机制 人口 生物信息学 糖尿病 癌症研究 病理 生物 内科学 内分泌学 环境卫生
作者
Rhema Khairnar,Md Asrarul Islam,Joshua S. Fleishman,Sunil Kumar
出处
期刊:Life Sciences [Elsevier BV]
卷期号:312: 121185-121185 被引量:38
标识
DOI:10.1016/j.lfs.2022.121185
摘要

Nonalcoholic fatty liver disease (NAFLD) is the most common chronic liver disorder globally impacting an estimated 25% of the population associated with severe consequences such as cirrhosis, hepatocellular carcinoma (HCC), and overall mortality. Fatty liver disease is triggered through multiple pathways, but the most prominent cause is either diabetes or obesity, or a combination of both. Therefore, hepatic glucose, insulin and fatty acid signaling becomes a dire need to understand which is well elaborated in this review. This review summarizes the popular two-hit pathogenesis of NAFLD, the molecular mechanisms underlying hepatic insulin resistance. As fatty liver disease gets advanced, it requires in-vitro as well as in-vivo models closer to disease progression in humans for better understanding the pathological state and identifying a novel therapeutic target. This review summarizes in-vitro (2D cell-culture/co-culture, 3D spheroid/organoid/liver-on-a-chip) models as well as in-vivo (genetically/dietary/chemically induced fatty liver disease) research models. Fatty liver disease research has gathered lots of attention recently since there is no FDA approved therapy available so far. However, there have been numerous promising targets to treat fatty liver disease including potential therapeutic targets under clinical trials are listed in this review.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
共享精神应助aaaa采纳,获得10
刚刚
你皮哥关注了科研通微信公众号
刚刚
负责的铅笔完成签到,获得积分10
1秒前
星沉静默完成签到 ,获得积分10
1秒前
甜财发布了新的文献求助10
1秒前
雪白的小甜瓜完成签到,获得积分20
1秒前
qqq完成签到,获得积分10
3秒前
顾矜应助科研通管家采纳,获得10
4秒前
科研小牛马完成签到 ,获得积分10
4秒前
香蕉觅云应助科研通管家采纳,获得10
4秒前
bkagyin应助科研通管家采纳,获得10
4秒前
4秒前
4秒前
5秒前
雪白曼文发布了新的文献求助10
5秒前
cdercder应助科研通管家采纳,获得10
5秒前
SciGPT应助科研通管家采纳,获得10
5秒前
5秒前
深情安青应助科研通管家采纳,获得20
5秒前
张欢馨应助科研通管家采纳,获得10
5秒前
渡人舟应助科研通管家采纳,获得10
5秒前
Nole应助如意的醉蓝采纳,获得30
5秒前
忆Y完成签到,获得积分10
6秒前
Akim应助科研通管家采纳,获得10
6秒前
我是老大应助科研通管家采纳,获得10
6秒前
渡人舟应助科研通管家采纳,获得10
6秒前
隐形曼青应助科研通管家采纳,获得10
6秒前
搜集达人应助科研通管家采纳,获得10
6秒前
张欢馨应助科研通管家采纳,获得10
6秒前
7秒前
XY发布了新的文献求助200
8秒前
华仔应助能干的吐司采纳,获得10
8秒前
孤独的自中完成签到,获得积分10
9秒前
11秒前
莫囿于渊应助G1234采纳,获得10
12秒前
充电宝应助孙伟健采纳,获得10
12秒前
Jin发布了新的文献求助20
13秒前
13秒前
Bubble发布了新的文献求助10
13秒前
Hello应助Cristina采纳,获得10
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Römisch-Germanische Forschungen 1000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Green Fire Retardants for Polymeric Materials 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7617224
求助须知:如何正确求助?哪些是违规求助? 9192435
关于积分的说明 19700144
捐赠科研通 7189573
什么是DOI,文献DOI怎么找? 3271994
关于科研通互助平台的介绍 2434749
邀请新用户注册赠送积分活动 2267014