Parthenolide Ameliorates Alzheimer’s Disease Pathology by Suppressing Microglial Inflammation and Inflammation-Driven Amyloidogenesis via the HIF1α/NF-κB Axis

IF 4.5 3区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
ACS Chemical Neuroscience Pub Date : 2026-06-17 Epub Date: 2026-04-23 DOI:10.1021/acschemneuro.6c00141
Xin Liu, Jie Liu, Pei-yang Wang, Jun-he Cui, Yu-meng Bu, Shan-shan Wu, Yan-hui Zhang* and Chuang Guo*, 
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引用次数: 0

Abstract

The treatment landscape for Alzheimer’s disease (AD) faces challenges such as prolonged drug development, high costs, and limited FDA-approved therapies. Given the pathological similarities between Early-Onset AD (EOAD) and Late-Onset AD (LOAD), repurposing existing drugs offers a promising strategy to expedite therapeutic development. In this study, weighted gene coexpression network analysis (WGCNA) was applied to identify AD-associated gene modules, followed by network pharmacology to screen candidate compounds. Parthenolide was selected based on blood–brain barrier permeability and disease relevance. Its effects were evaluated using LPS-stimulated BV2 microglia, N2a-sw and HT22 neuronal models, and transgenic AD mouse models. Transcriptomic integration, transcription factor enrichment, pharmacological inhibition, and in vivo behavioral and pathological analyses were employed to elucidate underlying mechanisms. Our findings reveal that parthenolide markedly suppressed microglial activation and reduced pro-inflammatory mediators via modulation of the HIF1α/NF-κB signaling axis. Bioinformatics analysis identified HIF1α as a key hub gene, which was experimentally validated using the selective inhibitor YC-1. Parthenolide attenuated inflammation-induced amyloidogenesis by downregulating amyloid β precursor protein (APP) expression and the γ-secretase component Aph-1A γ-Secretase Subunit (APH1α). In vivo, parthenolide administration significantly improved cognitive performance, reduced microglial activation, decreased β-amyloid plaque burden, and suppressed HIF1α/NF-κB-dependent inflammatory signaling in 5 × FAD mouse models. In conclusion, this study demonstrates that parthenolide exerts multitarget therapeutic effects in AD by concurrently suppressing neuroinflammation and amyloidogenic processing. Targeting the HIF1α/NF-κB axis may represent a promising strategy for modulating inflammatory-metabolic-amyloid networks in AD.

Abstract Image

Parthenolide通过HIF1α/NF-κB轴抑制小胶质细胞炎症和炎症驱动的淀粉样蛋白形成,改善阿尔茨海默病的病理。
阿尔茨海默病(AD)的治疗前景面临着诸如药物开发时间长、成本高以及fda批准的治疗方法有限等挑战。考虑到早发性AD (EOAD)和晚发性AD (LOAD)之间的病理相似性,重新利用现有药物为加快治疗开发提供了一个有希望的策略。本研究采用加权基因共表达网络分析(weighted gene coexpression network analysis, WGCNA)鉴定ad相关基因模块,再通过网络药理学筛选候选化合物。根据血脑屏障通透性和疾病相关性选择Parthenolide。通过lps刺激的BV2小胶质细胞、N2a-sw和HT22神经元模型以及转基因AD小鼠模型来评估其效果。转录组整合、转录因子富集、药物抑制以及体内行为和病理分析被用来阐明潜在的机制。我们的研究结果表明,parthenolide通过调节HIF1α/NF-κB信号轴显著抑制小胶质细胞的激活并减少促炎介质。生物信息学分析发现HIF1α是关键枢纽基因,并使用选择性抑制剂YC-1进行了实验验证。Parthenolide通过下调淀粉样蛋白β前体蛋白(APP)和γ-分泌酶组分Aph-1A γ-分泌酶亚基(APH1α)的表达,减轻炎症诱导的淀粉样蛋白形成。在体内,在5 × FAD小鼠模型中,给药parthenolide可显著改善认知能力,降低小胶质细胞活化,降低β-淀粉样斑块负担,并抑制HIF1α/NF-κ b依赖性炎症信号。总之,本研究表明,parthenolide通过同时抑制神经炎症和淀粉样变性加工,在AD中发挥多靶点治疗作用。靶向HIF1α/NF-κB轴可能是调节AD炎症-代谢-淀粉样蛋白网络的一种有希望的策略。
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来源期刊
ACS Chemical Neuroscience
ACS Chemical Neuroscience BIOCHEMISTRY & MOLECULAR BIOLOGY-CHEMISTRY, MEDICINAL
CiteScore
9.20
自引率
4.00%
发文量
323
审稿时长
1 months
期刊介绍: ACS Chemical Neuroscience publishes high-quality research articles and reviews that showcase chemical, quantitative biological, biophysical and bioengineering approaches to the understanding of the nervous system and to the development of new treatments for neurological disorders. Research in the journal focuses on aspects of chemical neurobiology and bio-neurochemistry such as the following: Neurotransmitters and receptors Neuropharmaceuticals and therapeutics Neural development—Plasticity, and degeneration Chemical, physical, and computational methods in neuroscience Neuronal diseases—basis, detection, and treatment Mechanism of aging, learning, memory and behavior Pain and sensory processing Neurotoxins Neuroscience-inspired bioengineering Development of methods in chemical neurobiology Neuroimaging agents and technologies Animal models for central nervous system diseases Behavioral research
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