A Unified Mechanistic Framework for Metabolism-Based Therapeutics in MASH: A Comprehensive Review of SGLT2 Inhibitors, GLP-1 Receptor Agonists, and Statins

药理学 计算生物学 化学 医学 生物
作者
Kangchan Choi,Soon Ho Choi,Mi Ra Lee,Seul Ki Han,Jin‐Suk Lee,Moon Young Kim
出处
期刊:
标识
DOI:10.20944/preprints202508.0991.v3
摘要

Metabolic dysfunction-associated steatohepatitis (MASH) represents a multifaceted and progressive hepatic disorder that poses considerable therapeutic challenges in contemporary clinical practice. The therapeutic landscape has undergone substantial transformation with the identification of three pharmacologically distinct classes of metabolism-targeting agents, sodium-glucose cotransporter-2 (SGLT2) inhibitors, glucagon-like peptide-1 (GLP-1) receptor agonists, and 3-hydroxy-3-methylglutaryl-coenzyme A (HMG-CoA) reductase inhibitors (statins), each demonstrating remarkable anti-fibrotic efficacy. However, this breakthrough has simultaneously presented an intriguing mechanistic conundrum: how do these therapeutically disparate compounds achieve their shared objective of hepatic fibrosis resolution?This comprehensive review endeavors to construct an integrative theoretical framework addressing this fundamental question. We hypothesize that adenosine monophosphate-activated protein kinase (AMPK), functioning as the cellular energy homeostasis sentinel, constitutes the primary convergence point for these therapeutic interventions. Our proposed model suggests that each pharmacological class engages this central hub through distinct, non-redundant upstream signaling cascades: SGLT2 inhibitors operate through direct LKB1-dependent metabolic perturbation, effectively creating an "energy deficit state"; GLP-1 receptor agonists function via receptor-mediated CaMKKβ-dependent "endocrine signaling pathways"; while statins exert their effects through isoprenoid depletion-mediated "metabolic stress responses."This mechanistic divergence subsequently generates differential yet synergistic downstream cellular responses. Additionally, we present a comprehensive multi-phase paradigm explaining the seemingly contradictory upregulation of SGLT2 expression within fibrotic hepatic tissue. This model encompasses an initial liver-specific "compensatory adaptation" occurring in hepatocytes and liver sinusoidal endothelial cells, subsequently followed by pathological "epigenetic stabilization" in activated hepatic stellate cells mediated through the hypoxia-inducible factor-1α (HIF-1α) and brahma-related gene 1 (BRG1) chromatin remodeling machinery.This unifying theoretical construct not only addresses existing mechanistic inconsistencies but also establishes a robust foundation for future MASH therapeutic development, particularly emphasizing personalized treatment approaches and rationally designed combination therapy strategies.

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
jhk完成签到,获得积分20
刚刚
木可可可完成签到,获得积分10
刚刚
顾矜的应助被yidezhang采纳,获得10
1秒前
若风发布了新的文献求助10
1秒前
王天完成签到 ,获得积分10
2秒前
arrebol发布了新的文献求助10
2秒前
2秒前
梓鑫完成签到,获得积分10
2秒前
陈陈完成签到 ,获得积分10
2秒前
2秒前
未央完成签到,获得积分10
3秒前
hoibuoifv发布了新的文献求助10
3秒前
大白发布了新的文献求助10
3秒前
陈锋完成签到,获得积分10
3秒前
qx发布了新的文献求助10
4秒前
4秒前
向阳而生发布了新的文献求助30
4秒前
无极微光的应助被筰侑采纳,获得20
4秒前
传奇3的应助被呼啸的卡冈图雅采纳,获得10
5秒前
ysd发布了新的文献求助10
5秒前
传奇3的应助被科研蚂蚁采纳,获得10
5秒前
FashionBoy的应助被忆年采纳,获得10
5秒前
牛得滑完成签到,获得积分10
5秒前
5秒前
6秒前
6秒前
儒雅的念烟完成签到 ,获得积分10
6秒前
7秒前
7秒前
无花果的应助被Txxxxxxxxxi采纳,获得10
7秒前
CipherSage的应助被吃花蝴蝶吗采纳,获得10
7秒前
puppynorio完成签到,获得积分10
8秒前
竹林风箫完成签到,获得积分10
8秒前
8秒前
xx发布了新的文献求助10
8秒前
8秒前
源源完成签到,获得积分10
9秒前
领导范儿的应助被anyuezou采纳,获得10
9秒前
天天快乐的应助被anyuezou采纳,获得10
10秒前
脑洞疼的应助被anyuezou采纳,获得10
10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
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 1000
Электротехническая система магнитожидкостной герметизации валов регулируемых электродвигателей 800
日本語と中国語及びチベット・ビルマ語の語源関連性に関する分析 800
Holistic Discourse Analysis, Second Edition by Robert E. Longacre 666
The Basics of Practical Optimization, Second Edition 600
Practical Nonconvex Nonsmooth Optimization 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 有机化学 物理 生物化学 化学工程 内科学 复合材料 催化作用 心理学 人工智能 细胞生物学 光电子学 无机化学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 7975159
求助须知:如何正确求助?哪些是违规求助? 9439495
关于积分的说明 21062834
捐赠科研通 7551298
什么是DOI,文献DOI怎么找? 3374167
关于科研通互助平台的介绍 2508992
邀请新用户注册赠送积分活动 2407291