Literature DB >> 33225679

Furosemide as a Probe Molecule for the Treatment of Neuroinflammation in Alzheimer's Disease.

Zhiyu Wang1,2, Prachi Vilekar1, Junbo Huang1, Donald F Weaver1,2,3,4.   

Abstract

The accumulation and deposition of β-amyloid (Aβ) is one postulated cause of Alzheimer's disease (AD). In addition to its direct toxicity on neurons, Aβ may induce neuroinflammation through the concomitant activation of microglia. Emerging evidence suggests that microglia-mediated neuroinflammation plays an important role in the pathogenesis of AD. As brain macrophages, microglia engulf misfolded-Aβ by phagocytosis. However, the accumulated toxic Aβ may paradoxically "hyper-activate" microglia into a neurotoxic proinflammatory and less phagocytotic phenotype, contributing to neuronal death. This study reports that the known drug furosemide is a potential probe molecule for reducing AD-neuroinflammation. Our data demonstrate that furosemide inhibits the secretion of proinflammatory TNF-α, IL-6, and nitric oxide; downregulates the mRNA level of Cd86 and the protein expression of COX-2, iNOS; promotes phagocytic activity; and enhances the expression of anti-inflammatory IL-1RA and arginase. Our mechanism of action studies further demonstrate that furosemide reduces LPS-induced upregulation of endoplasmic reticulum (ER) stress marker genes, including Grp78, Atf4, Chop, tXbp1, and sXbp1. These data support the observation that furosemide is a known drug with the capacity to downregulate the proinflammatory microglial M1 phenotype and upregulate the anti-inflammatory M2 phenotype, a potentially powerful and beneficial pharmacologic effect for inflammatory diseases such as AD.

Entities:  

Keywords:  Alzheimer’s disease; ER stress; Furosemide; microglia; neuroinflammation; β-amyloid

Mesh:

Substances:

Year:  2020        PMID: 33225679     DOI: 10.1021/acschemneuro.0c00445

Source DB:  PubMed          Journal:  ACS Chem Neurosci        ISSN: 1948-7193            Impact factor:   4.418


  6 in total

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6.  Deep phenotyping of Alzheimer's disease leveraging electronic medical records identifies sex-specific clinical associations.

Authors:  Alice S Tang; Tomiko Oskotsky; Shreyas Havaldar; William G Mantyh; Mesude Bicak; Caroline Warly Solsberg; Sarah Woldemariam; Billy Zeng; Zicheng Hu; Boris Oskotsky; Dena Dubal; Isabel E Allen; Benjamin S Glicksberg; Marina Sirota
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  6 in total

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