Literature DB >> 27277332

Upregulation of microRNA-206 enhances lipopolysaccharide-induced inflammation and release of amyloid-β by targeting insulin-like growth factor 1 in microglia.

Hongxia Xing1, Shuangxi Guo1, Yi Zhang1, Zhiyong Zheng1, Haoliang Wang1.   

Abstract

Activated microglia are capable of facilitating amyloid-β (Aβ) accumulation via the release of inflammatory factors, thus resulting in the exacerbation of Alzheimer's disease (AD). MicroRNAs (miRs) participate in the activation of microglia, which is associated with AD. Insulin-like growth factor 1 (IGF1) is a neuroprotective, anti-inflammatory factor, which is able to accelerate clearance of Aβ peptides. The present study aimed to investigate the precise role of miR‑206 and IGF1 in lipopolysaccharide (LPS)‑induced microglial inflammation. The expression levels of miR‑206 and IGF1 were detected in 60 peripheral blood samples from patients with AD and matched age subjects using quantitative polymerase chain reaction. A dual luciferase reporter gene assay was used to indicate the relationship between miR‑206 and IGF1. In addition, the role of miR‑206 was determined by gain and loss of function experiments in LPS‑treated microglia. The results demonstrated that miR‑206 upregulation enhanced LPS‑induced inflammation and Aβ release in microglia by directly targeting the 3'-untranslated region of IGF1. These effects were attenuated following treatment with exogenous IGF1, thus indicating that the miR‑206/IGF1 signaling pathway may be considered a novel therapeutic target for the treatment of AD‑associated microglial inflammation.

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Year:  2016        PMID: 27277332     DOI: 10.3892/mmr.2016.5369

Source DB:  PubMed          Journal:  Mol Med Rep        ISSN: 1791-2997            Impact factor:   2.952


  13 in total

1.  Ursolic acid ameliorates Nthy-ori 3-1 cells injury induced by IL-1β through limiting MALAT1/miR-206/PTGS1 ceRNA network and NF-κB signaling pathway.

Authors:  Lunpan Mou; Liyan Liao; Yaping Zhang; Desong Ming; Jianjia Jiang
Journal:  Psychopharmacology (Berl)       Date:  2021-01-16       Impact factor: 4.530

2.  A Systematic Review of MicroRNA Expression as Biomarker of Late-Onset Alzheimer's Disease.

Authors:  Soraya Herrera-Espejo; Borja Santos-Zorrozua; Paula Álvarez-González; Elixabet Lopez-Lopez; África Garcia-Orad
Journal:  Mol Neurobiol       Date:  2019-06-25       Impact factor: 5.590

Review 3.  Early Life Stress and Epigenetics in Late-onset Alzheimer's Dementia: A Systematic Review.

Authors:  Erwin Lemche
Journal:  Curr Genomics       Date:  2018-11       Impact factor: 2.236

4.  Comorbidity Analysis between Alzheimer's Disease and Type 2 Diabetes Mellitus (T2DM) Based on Shared Pathways and the Role of T2DM Drugs.

Authors:  Reagon Karki; Alpha Tom Kodamullil; Martin Hofmann-Apitius
Journal:  J Alzheimers Dis       Date:  2017       Impact factor: 4.472

Review 5.  Epigenetics Control Microglia Plasticity.

Authors:  Mathilde Cheray; Bertrand Joseph
Journal:  Front Cell Neurosci       Date:  2018-08-03       Impact factor: 5.505

Review 6.  The Regulation of microRNAs in Alzheimer's Disease.

Authors:  Xianjuan Kou; Dandan Chen; Ning Chen
Journal:  Front Neurol       Date:  2020-04-17       Impact factor: 4.003

Review 7.  MicroRNAs Dysregulation and Metabolism in Multiple System Atrophy.

Authors:  Chunchen Xiang; Shunchang Han; Jianfei Nao; Shuyan Cong
Journal:  Front Neurosci       Date:  2019-10-17       Impact factor: 4.677

Review 8.  The Eminent Role of microRNAs in the Pathogenesis of Alzheimer's Disease.

Authors:  Mohammad Samadian; Mahdi Gholipour; Mohammadreza Hajiesmaeili; Mohammad Taheri; Soudeh Ghafouri-Fard
Journal:  Front Aging Neurosci       Date:  2021-03-15       Impact factor: 5.750

9.  Implications of miR-148a-3p/p35/PTEN signaling in tau hyperphosphorylation and autoregulatory feedforward of Akt/CREB in Alzheimer's disease.

Authors:  Li Zeng; Hailun Jiang; Ghulam Md Ashraf; Jianghong Liu; Linlin Wang; Kaiyue Zhao; Mimin Liu; Zhuorong Li; Rui Liu
Journal:  Mol Ther Nucleic Acids       Date:  2021-11-29       Impact factor: 8.886

10.  Prediction of differentially expressed microRNAs in blood as potential biomarkers for Alzheimer's disease by meta-analysis and adaptive boosting ensemble learning.

Authors:  Sze Chung Yuen; Xiaonan Liang; Hongmei Zhu; Yongliang Jia; Siu-Wai Leung
Journal:  Alzheimers Res Ther       Date:  2021-07-09       Impact factor: 6.982

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