lncRNA-Associated Competitive Endogenous RNA Regulatory Network in an Aβ25-35-Induced AD Mouse Model Treated with Tripterygium Glycoside

Tang, Liang; Qin, Xiang; Ju, Xu; Li, Jianming

doi:10.2147/ndt.s310271

Cited by 9 publications

(6 citation statements)

References 40 publications

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“…One hundred and fifty-three articles were excluded for irrelevance. The full texts of the remaining 34 articles were evaluated, and 20 more articles were also excluded because they did not validate the components of the ceRNA loop using molecular techniques ( Wang et al, 2017 ; Yu et al, 2018 ; Zhou et al, 2019 ; Ma et al, 2020 ; Xu and Jia, 2020 ; Huaying et al, 2021 ; Lu et al, 2021 ; Ou et al, 2021 ; Tang et al, 2021 ; Zhang et al, 2021 ) and did not use human specimens or cell lines ( Jiang et al, 2016 ; Cai et al, 2017 ; Wang J. et al, 2018 ; Wang X. et al, 2018 ; Ma P. et al, 2019 ; Zhao et al, 2019 ; Li L. et al, 2020 ; Li X. et al, 2020 ; Yue et al, 2020 ; Zhou et al, 2020 ). Lastly, a total of 14 eligible articles remained ( Faghihi et al, 2010 ; Ke et al, 2019 ; Wang et al, 2019 ; Zeng et al, 2019 ; Zhu et al, 2019 ; Gao et al, 2020 ; Ge et al, 2020 ; Gu et al, 2020 , 2021 ; He W. et al, 2020 ; Yan et al, 2020 ; Yue et al, 2020 ; Fan et al, 2021 ; Zhang and Wang, 2021 ).…”

Section: Resultsmentioning

confidence: 99%

Molecular Insight Into the Therapeutic Potential of Long Non-coding RNA-Associated Competing Endogenous RNA Axes in Alzheimer’s Disease: A Systematic Scoping Review

Sabaie

Amirinejad

Asadi

et al. 2021

Front. Aging Neurosci.

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Alzheimer’s disease (AD) is a heterogeneous degenerative brain disorder with a rising prevalence worldwide. The two hallmarks that characterize the AD pathophysiology are amyloid plaques, generated via aggregated amyloid β, and neurofibrillary tangle, generated via accumulated phosphorylated tau. At the post-transcriptional and transcriptional levels, the regulatory functions of non-coding RNAs, in particular long non-coding RNAs (lncRNAs), have been ascertained in gene expressions. It is noteworthy that a number of lncRNAs feature a prevalent role in their potential of regulating gene expression through modulation of microRNAs via a process called the mechanism of competing endogenous RNA (ceRNA). Given the multifactorial nature of ceRNA interaction networks, they might be advantageous in complex disorders (e.g., AD) investigations at the therapeutic targets level. We carried out scoping review in this research to analyze validated loops of ceRNA in AD and focus on ceRNA axes associated with lncRNA. This scoping review was performed according to a six-stage methodology structure and PRISMA guideline. A systematic search of seven databases was conducted to find eligible articles prior to July 2021. Two reviewers independently performed publications screening and data extraction, and quantitative and qualitative analyses were conducted. Fourteen articles were identified that fulfill the inclusion criteria. Studies with different designs reported nine lncRNAs that were experimentally validated to act as ceRNA in AD in human-related studies, including BACE1-AS, SNHG1, RPPH1, NEAT1, LINC00094, SOX21-AS1, LINC00507, MAGI2-AS3, and LINC01311. The BACE1-AS/BACE1 was the most frequent ceRNA pair. Among miRNAs, miR-107 played a key role by regulating three different loops. Understanding the various aspects of this regulatory mechanism can help elucidate the unknown etiology of AD and provide new molecular targets for use in therapeutic and clinical applications.

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Section: Resultsmentioning

confidence: 99%

Molecular Insight Into the Therapeutic Potential of Long Non-coding RNA-Associated Competing Endogenous RNA Axes in Alzheimer’s Disease: A Systematic Scoping Review

Sabaie

Amirinejad

Asadi

et al. 2021

Front. Aging Neurosci.

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“…et Wils [40]. , Waternut Herb [41] and extraction from traditional Chinese medicine including flavonol glycoside [42], Artemisinin [43], and TG [44–46] have been reported to exert neuroinflammation effects in AD animal models via inhibiting the expression of TNF-α. In the present study, we detected that the TNF-α mRNA was lower expressed in BM25 + AD group compared to the AD + NS group.…”

Section: Discussionmentioning

confidence: 99%

In-depth analyses of lncRNA and circRNA expression in the hippocampus of LPS-induced AD mice by Byu d Mar 25

Zhang,

Tang,

Wang

et al. 2023

NeuroReport

Self Cite

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Byu d Mar 25 (BM25) has been verified to have neuroprotective effects in Alzheimer’s disease (AD) mice. However, the molecular mechanism remains unclear. We aimed to investigate the expression profiling of lncRNAs and circRNAs by microarray analysis. Six hippocampus from LPS-mediated AD mice model treated with (normal saline (NS) (n = 3) and AD mice model treated with BM25 (n = 3) were selected. Microarray analysis was performed to detect the expression profiles of lncRNAs and circRNAs in hippocampus. Differentially expressed (DE) lncRNAs, mRNAs and circRNAs were identified through scatter plot and volcano plot filtering with a threshold of fold-change ≥2 and P ≤ 0.05. Co-expression network is analyzed by Circos software. Cis- and Trans- regulation were analyzed using RIsearch-2.0 and FEELNC softwares. LncRNA-transcription factors (TFs) and LncRNA-Target-TFs network were analyzed by Clusterprofiler software. The prediction of miRNAs bind to circRNAs were performed with miRNAbase. A total of 113 DElncRNAs, 117 DEmRNAs, and 4 DEcircRNAs were detected. The pathway analysis showed the mRNAs that correlated with lncRNAs were involved in apoptosis, inflammatory mediator regulation of TRP channels, NF-kappa B and PI3K-Akt signaling pathway. The lncRNA-TFs network analysis suggested the lncRNAs were mostly regulated by Ncoa1, Phf5a, Klf6, Lmx1b, and Pax3. Additionally, lncRNA-target-TFs network analysis indicated the GATA6, Junb, Smad1, Twist1, and Mafb mostly regulate the same lncRNAs: XR_001783430.1 and NR_051982.1. Furthermore, 480 miRNAs were predicted binding to 4 identified circRNAs. The BM25 may affect AD by regulating the expression of lncRNAs and circRNAs, which could regulate the expressions of mRNAs or miRNAs by LncRNA-Target-TFs network.

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“…Accumulating evidence has demonstrated that lncRNA-miRNA-mRNA and circRNA-miRNA-mRNA networks may play roles in the pathology of AD ( Zhang et al, 2021 ), including involvement in biological metabolic processes, the cGMP-PKG signaling pathway, the Hippo signaling pathway, and axon guidance. An increasing number of ceRNA networks have been found to be associated with the pathogenesis of AD ( Huaying et al, 2020 ; Tang et al, 2021 ; Zhang et al, 2021 ). However, to the best of our knowledge, the ceRNA networks in astrocytes affected by Aβ and senescence have not been revealed.…”

Section: Discussionmentioning

confidence: 99%

High-Throughput Sequencing to Investigate lncRNA-circRNA-miRNA-mRNA Networks Underlying the Effects of Beta-Amyloid Peptide and Senescence on Astrocytes

et al. 2022

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Astrocytes are widely distributed in the central nervous system and play an essential role in the function of neuronal cells. Associations between astrocytes and Alzheimer’s disease (AD) have been noted, and recent work has implicated circular RNA (circRNA) and long non-coding RNA (lncRNA) in the development of AD. However, few reports have investigated which lncRNA and circRNA are involved in the influence of amyloid beta (Aβ) and senescence on astrocytes. This study therefore examines changes at the transcriptome level to explore the effects of Aβ and senescence on astrocytes. Primary cultured astrocytes were treated with Aβ and cultured for 90 days in vitro, and high-throughput sequencing was performed to identify differentially expressed RNAs. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses revealed that differentially expressed genes were associated with the focal adhesion signaling pathway, extracellular matrix receptor signaling pathway, and the extracellular matrix. The protein–protein interaction network was then constructed, and 103 hub genes were screened out; most of these were strongly associated with the expression of the extracellular matrix, extracellular matrix receptor signaling pathway, and focal adhesion. Two competing endogenous RNA networks were constructed based on the selected hub gene and differential RNAs, and we identified multiple competing endogenous RNA regulatory axes that were involved in the effects of Aβ and senescence on astrocytes. This is the first study to explore the molecular regulation mechanism of Aβ and senescence on primary astrocytes from the perspective of the whole transcriptome. In uncovering the signaling pathways and biological processes involved in the effects of Aβ and senescence on astrocytes, this work provides novel insights into the pathogenesis of AD at the level of competing endogenous RNA network regulation.

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lncRNA-Associated Competitive Endogenous RNA Regulatory Network in an Aβ25-35-Induced AD Mouse Model Treated with Tripterygium Glycoside

Cited by 9 publications

References 40 publications

Molecular Insight Into the Therapeutic Potential of Long Non-coding RNA-Associated Competing Endogenous RNA Axes in Alzheimer’s Disease: A Systematic Scoping Review

Molecular Insight Into the Therapeutic Potential of Long Non-coding RNA-Associated Competing Endogenous RNA Axes in Alzheimer’s Disease: A Systematic Scoping Review

In-depth analyses of lncRNA and circRNA expression in the hippocampus of LPS-induced AD mice by Byu d Mar 25

High-Throughput Sequencing to Investigate lncRNA-circRNA-miRNA-mRNA Networks Underlying the Effects of Beta-Amyloid Peptide and Senescence on Astrocytes

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