Cargando…

Gypenosides Inhibit Inflammatory Response and Apoptosis of Endothelial and Epithelial Cells in LPS-Induced ALI: A Study Based on Bioinformatic Analysis and in vivo/vitro Experiments

INTRODUCTION: Severe inflammatory response leads to poor prognosis of acute lung injury (ALI), the role of gypenosides (GPs) on ALI is not fully clear. The study aimed at investigating the effects of GPs on ALI. METHODS: We firstly established LPS-induced ALI mice model. Then, we tested whether GPs...

Descripción completa

Detalles Bibliográficos
Autores principales: Tu, Qing, Zhu, Yabing, Yuan, Yuan, Guo, Long, Liu, Lu, Yao, Liangfang, Zou, Yun, Li, Jinbao, Chen, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7846875/
https://www.ncbi.nlm.nih.gov/pubmed/33531796
http://dx.doi.org/10.2147/DDDT.S286297
_version_ 1783644824186912768
author Tu, Qing
Zhu, Yabing
Yuan, Yuan
Guo, Long
Liu, Lu
Yao, Liangfang
Zou, Yun
Li, Jinbao
Chen, Feng
author_facet Tu, Qing
Zhu, Yabing
Yuan, Yuan
Guo, Long
Liu, Lu
Yao, Liangfang
Zou, Yun
Li, Jinbao
Chen, Feng
author_sort Tu, Qing
collection PubMed
description INTRODUCTION: Severe inflammatory response leads to poor prognosis of acute lung injury (ALI), the role of gypenosides (GPs) on ALI is not fully clear. The study aimed at investigating the effects of GPs on ALI. METHODS: We firstly established LPS-induced ALI mice model. Then, we tested whether GPs contributed to alleviate inflammatory response and lung injury of ALI in vivo. In order to identify specific mechanisms of the phenomenon, we conducted a bioinformatic analysis of LPS-induced ALI mice based on GEO database to identify hub differentially expressed genes (DEGs). PPI network of the DEGs was used to find hub-genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were conducted based on the DAVID database to identify which pathways the genes enriched. Then, we tested whether GPs inhibited lung injury and inflammatory response via the enriched pathways. We also tested whether GPs inhibited the apoptosis of endothelial and epithelial cells secondary to severe inflammation. RESULTS: We found GPs significantly alleviated lung injury and improved the survival rate of LPS-induced ALI mice in vivo. Bioinformatic analysis identified 20 hub-genes from DEGs, they were mainly enriched in NF-κB and TNF-α pathways. GPs could reduce the lung injury and inflammatory response via inhibiting NF-κB and TNF-α pathways in vivo. Our results indicated that GPs also inhibited inflammatory response of epithelial and endothelial cells via NF-κB and TNF-α pathways in vitro. Severe inflammatory response could also lead to apoptosis of endothelial and epithelial cells. Our results indicated that GPs effectively inhibited the apoptosis of endothelial and epithelial cells. CONCLUSION: Our study suggested GPs contributed to alleviated lung injury in vivo and inhibited inflammation and apoptosis of endothelial and epithelial cells in vitro, providing novel strategies for the prevention and therapy for ALI.
format Online
Article
Text
id pubmed-7846875
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Dove
record_format MEDLINE/PubMed
spelling pubmed-78468752021-02-01 Gypenosides Inhibit Inflammatory Response and Apoptosis of Endothelial and Epithelial Cells in LPS-Induced ALI: A Study Based on Bioinformatic Analysis and in vivo/vitro Experiments Tu, Qing Zhu, Yabing Yuan, Yuan Guo, Long Liu, Lu Yao, Liangfang Zou, Yun Li, Jinbao Chen, Feng Drug Des Devel Ther Original Research INTRODUCTION: Severe inflammatory response leads to poor prognosis of acute lung injury (ALI), the role of gypenosides (GPs) on ALI is not fully clear. The study aimed at investigating the effects of GPs on ALI. METHODS: We firstly established LPS-induced ALI mice model. Then, we tested whether GPs contributed to alleviate inflammatory response and lung injury of ALI in vivo. In order to identify specific mechanisms of the phenomenon, we conducted a bioinformatic analysis of LPS-induced ALI mice based on GEO database to identify hub differentially expressed genes (DEGs). PPI network of the DEGs was used to find hub-genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were conducted based on the DAVID database to identify which pathways the genes enriched. Then, we tested whether GPs inhibited lung injury and inflammatory response via the enriched pathways. We also tested whether GPs inhibited the apoptosis of endothelial and epithelial cells secondary to severe inflammation. RESULTS: We found GPs significantly alleviated lung injury and improved the survival rate of LPS-induced ALI mice in vivo. Bioinformatic analysis identified 20 hub-genes from DEGs, they were mainly enriched in NF-κB and TNF-α pathways. GPs could reduce the lung injury and inflammatory response via inhibiting NF-κB and TNF-α pathways in vivo. Our results indicated that GPs also inhibited inflammatory response of epithelial and endothelial cells via NF-κB and TNF-α pathways in vitro. Severe inflammatory response could also lead to apoptosis of endothelial and epithelial cells. Our results indicated that GPs effectively inhibited the apoptosis of endothelial and epithelial cells. CONCLUSION: Our study suggested GPs contributed to alleviated lung injury in vivo and inhibited inflammation and apoptosis of endothelial and epithelial cells in vitro, providing novel strategies for the prevention and therapy for ALI. Dove 2021-01-25 /pmc/articles/PMC7846875/ /pubmed/33531796 http://dx.doi.org/10.2147/DDDT.S286297 Text en © 2021 Tu et al. http://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/). 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
Tu, Qing
Zhu, Yabing
Yuan, Yuan
Guo, Long
Liu, Lu
Yao, Liangfang
Zou, Yun
Li, Jinbao
Chen, Feng
Gypenosides Inhibit Inflammatory Response and Apoptosis of Endothelial and Epithelial Cells in LPS-Induced ALI: A Study Based on Bioinformatic Analysis and in vivo/vitro Experiments
title Gypenosides Inhibit Inflammatory Response and Apoptosis of Endothelial and Epithelial Cells in LPS-Induced ALI: A Study Based on Bioinformatic Analysis and in vivo/vitro Experiments
title_full Gypenosides Inhibit Inflammatory Response and Apoptosis of Endothelial and Epithelial Cells in LPS-Induced ALI: A Study Based on Bioinformatic Analysis and in vivo/vitro Experiments
title_fullStr Gypenosides Inhibit Inflammatory Response and Apoptosis of Endothelial and Epithelial Cells in LPS-Induced ALI: A Study Based on Bioinformatic Analysis and in vivo/vitro Experiments
title_full_unstemmed Gypenosides Inhibit Inflammatory Response and Apoptosis of Endothelial and Epithelial Cells in LPS-Induced ALI: A Study Based on Bioinformatic Analysis and in vivo/vitro Experiments
title_short Gypenosides Inhibit Inflammatory Response and Apoptosis of Endothelial and Epithelial Cells in LPS-Induced ALI: A Study Based on Bioinformatic Analysis and in vivo/vitro Experiments
title_sort gypenosides inhibit inflammatory response and apoptosis of endothelial and epithelial cells in lps-induced ali: a study based on bioinformatic analysis and in vivo/vitro experiments
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7846875/
https://www.ncbi.nlm.nih.gov/pubmed/33531796
http://dx.doi.org/10.2147/DDDT.S286297
work_keys_str_mv AT tuqing gypenosidesinhibitinflammatoryresponseandapoptosisofendothelialandepithelialcellsinlpsinducedaliastudybasedonbioinformaticanalysisandinvivovitroexperiments
AT zhuyabing gypenosidesinhibitinflammatoryresponseandapoptosisofendothelialandepithelialcellsinlpsinducedaliastudybasedonbioinformaticanalysisandinvivovitroexperiments
AT yuanyuan gypenosidesinhibitinflammatoryresponseandapoptosisofendothelialandepithelialcellsinlpsinducedaliastudybasedonbioinformaticanalysisandinvivovitroexperiments
AT guolong gypenosidesinhibitinflammatoryresponseandapoptosisofendothelialandepithelialcellsinlpsinducedaliastudybasedonbioinformaticanalysisandinvivovitroexperiments
AT liulu gypenosidesinhibitinflammatoryresponseandapoptosisofendothelialandepithelialcellsinlpsinducedaliastudybasedonbioinformaticanalysisandinvivovitroexperiments
AT yaoliangfang gypenosidesinhibitinflammatoryresponseandapoptosisofendothelialandepithelialcellsinlpsinducedaliastudybasedonbioinformaticanalysisandinvivovitroexperiments
AT zouyun gypenosidesinhibitinflammatoryresponseandapoptosisofendothelialandepithelialcellsinlpsinducedaliastudybasedonbioinformaticanalysisandinvivovitroexperiments
AT lijinbao gypenosidesinhibitinflammatoryresponseandapoptosisofendothelialandepithelialcellsinlpsinducedaliastudybasedonbioinformaticanalysisandinvivovitroexperiments
AT chenfeng gypenosidesinhibitinflammatoryresponseandapoptosisofendothelialandepithelialcellsinlpsinducedaliastudybasedonbioinformaticanalysisandinvivovitroexperiments