Cargando…

lncRNA-Associated Competitive Endogenous RNA Regulatory Network in an Aβ(25-35)-Induced AD Mouse Model Treated with Tripterygium Glycoside

BACKGROUND: Tripterygium glycoside (TG) has been suggested to have protective effects on the diseases of the central nervous system including Alzheimer’s disease (AD). The mechanisms involving lncRNA-associated competing endogenous RNAs (ceRNAs) were shown to play important roles in the development...

Descripción completa

Detalles Bibliográficos
Autores principales: Tang, Liang, Xiang, Qin, Xiang, Ju, Li, Jianming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8141406/
https://www.ncbi.nlm.nih.gov/pubmed/34040378
http://dx.doi.org/10.2147/NDT.S310271
_version_ 1783696358449872896
author Tang, Liang
Xiang, Qin
Xiang, Ju
Li, Jianming
author_facet Tang, Liang
Xiang, Qin
Xiang, Ju
Li, Jianming
author_sort Tang, Liang
collection PubMed
description BACKGROUND: Tripterygium glycoside (TG) has been suggested to have protective effects on the diseases of the central nervous system including Alzheimer’s disease (AD). The mechanisms involving lncRNA-associated competing endogenous RNAs (ceRNAs) were shown to play important roles in the development of AD. However, the ceRNA mechanism of TG in treating AD is still unknown. Thus, we aimed to explore the ceRNA mechanism in the treatment of AD with TG. METHODS: A total of 32 C57BL/6J mice were administered 3 µL of Aβ(25-35) (dual side, 1 mg/mL) by a single stereotactic injection in the brain to conduct AD mouse model. AD mouse models were randomly selected and divided into the AD+normal saline (NS) group (n=16) and the AD+TG group (n=16). The expression data of lncRNAs, mRNAs, and miRNAs in the hippocampus of mice from AD+NS group (n=3) and the AD+TG group (n=3) were obtained by microarray analysis. The MuTaME method was used to predict the ceRNA regulatory network. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed using the DAVID database. A protein–protein interaction (PPI) network was constructed by using STRING software. RESULTS: TG can significantly improve spatial memory and inhibit the production of p-tau in an Aβ(25-35)-induced AD mouse model. A total of 661 differentially expressed lncRNAs, 503 mRNAs, and 13 miRNAs were identified. A ceRNA network involving the top 200 mRNA-miRNA-lncRNA pairs with 16 lncRNAs, 11 miRNAs, and 52 mRNAs was visualized. And a PPI network complex filtered 26 gene nodes in DEGs was predicted. CONCLUSION: We have identified 503 DEGs, 661 DElncRNAs, and 13 DEmiRNAs during treatment with TG in Aβ(25-35)-induced AD mouse model. A ceRNA network based on the DElncRNAs, DEmRNAs, and DEmiRNAs was conducted, which provided new insight into the lncRNA-mediated ceRNA regulatory mechanisms underlying the effects of TG in the treatment of AD.
format Online
Article
Text
id pubmed-8141406
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Dove
record_format MEDLINE/PubMed
spelling pubmed-81414062021-05-25 lncRNA-Associated Competitive Endogenous RNA Regulatory Network in an Aβ(25-35)-Induced AD Mouse Model Treated with Tripterygium Glycoside Tang, Liang Xiang, Qin Xiang, Ju Li, Jianming Neuropsychiatr Dis Treat Original Research BACKGROUND: Tripterygium glycoside (TG) has been suggested to have protective effects on the diseases of the central nervous system including Alzheimer’s disease (AD). The mechanisms involving lncRNA-associated competing endogenous RNAs (ceRNAs) were shown to play important roles in the development of AD. However, the ceRNA mechanism of TG in treating AD is still unknown. Thus, we aimed to explore the ceRNA mechanism in the treatment of AD with TG. METHODS: A total of 32 C57BL/6J mice were administered 3 µL of Aβ(25-35) (dual side, 1 mg/mL) by a single stereotactic injection in the brain to conduct AD mouse model. AD mouse models were randomly selected and divided into the AD+normal saline (NS) group (n=16) and the AD+TG group (n=16). The expression data of lncRNAs, mRNAs, and miRNAs in the hippocampus of mice from AD+NS group (n=3) and the AD+TG group (n=3) were obtained by microarray analysis. The MuTaME method was used to predict the ceRNA regulatory network. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed using the DAVID database. A protein–protein interaction (PPI) network was constructed by using STRING software. RESULTS: TG can significantly improve spatial memory and inhibit the production of p-tau in an Aβ(25-35)-induced AD mouse model. A total of 661 differentially expressed lncRNAs, 503 mRNAs, and 13 miRNAs were identified. A ceRNA network involving the top 200 mRNA-miRNA-lncRNA pairs with 16 lncRNAs, 11 miRNAs, and 52 mRNAs was visualized. And a PPI network complex filtered 26 gene nodes in DEGs was predicted. CONCLUSION: We have identified 503 DEGs, 661 DElncRNAs, and 13 DEmiRNAs during treatment with TG in Aβ(25-35)-induced AD mouse model. A ceRNA network based on the DElncRNAs, DEmRNAs, and DEmiRNAs was conducted, which provided new insight into the lncRNA-mediated ceRNA regulatory mechanisms underlying the effects of TG in the treatment of AD. Dove 2021-05-19 /pmc/articles/PMC8141406/ /pubmed/34040378 http://dx.doi.org/10.2147/NDT.S310271 Text en © 2021 Tang et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Tang, Liang
Xiang, Qin
Xiang, Ju
Li, Jianming
lncRNA-Associated Competitive Endogenous RNA Regulatory Network in an Aβ(25-35)-Induced AD Mouse Model Treated with Tripterygium Glycoside
title lncRNA-Associated Competitive Endogenous RNA Regulatory Network in an Aβ(25-35)-Induced AD Mouse Model Treated with Tripterygium Glycoside
title_full lncRNA-Associated Competitive Endogenous RNA Regulatory Network in an Aβ(25-35)-Induced AD Mouse Model Treated with Tripterygium Glycoside
title_fullStr lncRNA-Associated Competitive Endogenous RNA Regulatory Network in an Aβ(25-35)-Induced AD Mouse Model Treated with Tripterygium Glycoside
title_full_unstemmed lncRNA-Associated Competitive Endogenous RNA Regulatory Network in an Aβ(25-35)-Induced AD Mouse Model Treated with Tripterygium Glycoside
title_short lncRNA-Associated Competitive Endogenous RNA Regulatory Network in an Aβ(25-35)-Induced AD Mouse Model Treated with Tripterygium Glycoside
title_sort lncrna-associated competitive endogenous rna regulatory network in an aβ(25-35)-induced ad mouse model treated with tripterygium glycoside
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8141406/
https://www.ncbi.nlm.nih.gov/pubmed/34040378
http://dx.doi.org/10.2147/NDT.S310271
work_keys_str_mv AT tangliang lncrnaassociatedcompetitiveendogenousrnaregulatorynetworkinanab2535inducedadmousemodeltreatedwithtripterygiumglycoside
AT xiangqin lncrnaassociatedcompetitiveendogenousrnaregulatorynetworkinanab2535inducedadmousemodeltreatedwithtripterygiumglycoside
AT xiangju lncrnaassociatedcompetitiveendogenousrnaregulatorynetworkinanab2535inducedadmousemodeltreatedwithtripterygiumglycoside
AT lijianming lncrnaassociatedcompetitiveendogenousrnaregulatorynetworkinanab2535inducedadmousemodeltreatedwithtripterygiumglycoside