Suppr超能文献

荖花多酚对大鼠肺微血管内皮细胞缺氧损伤的保护作用。

Protective effects of areca nut polyphenols on hypoxic damage of rat pulmonary microvascular endothelial cells.

机构信息

1. Department of Pharmacy, the 940th Hospital of Joint Logistics Support Force of Chinese People's Liberation Army, Key Laboratory of the Plateau Medicine, Lanzhou 730050, China.

2. School of Pharmacy, Lanzhou University, Lanzhou 730000, China.

出版信息

Zhejiang Da Xue Xue Bao Yi Xue Ban. 2022 Aug 1;51(4):405-414. doi: 10.3724/zdxbyxb-2022-0159.

Abstract

OBJECTIVE

To investigate the protective effects of areca nut polyphenols on hypoxic damage of rat pulmonary microvascular endothelial cells (PMVECs).

METHODS

Malondialdehyde and superoxide dismutase (SOD) were used to determine the optimal modeling of lung hypoxic injury cells. CCK-8 method was used to detect cell viability for determining the effective dose of areca nut polyphenols. Rat PMVECs were divided into control group, hypoxia model group and areca nut polyphenols group. BCA method was used to detect the protein concentration of each group, and the oxidative stress level in PMVECs was measured. Western blotting was used to detect the expression of inflammatory and apoptosis-related proteins. Immunofluorescence staining was used to detect the expression of occludin and zonula occludens (ZO) 1. Transwell chamber was used to detect transendothelial electrical resistance, and rhodamine fluorescent dye was used to detect PMVECs barrier permeability.

RESULTS

The hypobaric hypoxia-induced cell injury model was established by culturing PMVECs for 48 h at 1% oxygen concentration. The 20 μg/mL areca nut polyphenols significantly reversed the survival rate and the oxidative stress of PMVECs in hypoxia model group (all <0.05). Areca nut polyphenols had significant inhibitory effect on the up-regulation of inflammation-related proteins, including nuclear factor-κB (NF-κB) and nuclear factor-E2-related factor (Nrf) 2 in hypoxia model group (all <0.05). And areca nut polyphenols could reduce hypoxia-induced PMVECs apoptosis by down-regulating the expressions of apoptosis-related proteins, including cysteine aspartic acid specific protease (caspase) 3, Bcl-2 associated X protein (Bax) in PMVECs (all <0.05). In addition, areca nut polyphenols effectively improves the transendothelial electrical resistance and barrier permeability of PMVECs through elevating the expression of occludin and ZO-1 (all <0.05).

CONCLUSION

Areca nut polyphenols can inhibit the hypoxic damage of PMVECs by reducing oxidative stress and apoptosis down-regulating the expression of inflammatory proteins and reducing membrane permeability.

摘要

目的

探讨槟榔多酚对大鼠肺微血管内皮细胞(PMVECs)缺氧损伤的保护作用。

方法

采用丙二醛和超氧化物歧化酶(SOD)检测法确定肺缺氧损伤细胞的最佳建模方法。CCK-8 法检测槟榔多酚的有效剂量。将大鼠 PMVECs 分为对照组、缺氧模型组和槟榔多酚组。BCA 法检测各组蛋白浓度,检测 PMVECs 氧化应激水平。Western blot 法检测炎症和凋亡相关蛋白的表达。免疫荧光染色法检测 occludin 和 zonula occludens(ZO)1 的表达。Transwell 室检测跨内皮电阻,罗丹明荧光染料检测 PMVECs 屏障通透性。

结果

在 1%氧浓度下培养 PMVECs 48 h 建立低压缺氧诱导的细胞损伤模型。20 μg/mL 槟榔多酚可显著逆转缺氧模型组 PMVECs 的存活率和氧化应激(均<0.05)。槟榔多酚对缺氧模型组中炎症相关蛋白核因子-κB(NF-κB)和核因子-E2 相关因子(Nrf)2 的上调有显著抑制作用(均<0.05)。槟榔多酚还可通过下调凋亡相关蛋白胱天蛋白酶 3、Bcl-2 相关 X 蛋白(Bax)的表达,减少缺氧诱导的 PMVECs 凋亡(均<0.05)。此外,槟榔多酚通过上调 occludin 和 ZO-1 的表达,有效改善 PMVECs 的跨内皮电阻和屏障通透性(均<0.05)。

结论

槟榔多酚通过降低炎症蛋白表达、减少膜通透性来抑制 PMVECs 的缺氧损伤,从而减轻氧化应激和凋亡。

相似文献

本文引用的文献

1
Anti-hypoxic pharmacological effects of betelnut polyphenols.荖叶多酚的抗缺氧药理作用。
Zhong Nan Da Xue Xue Bao Yi Xue Ban. 2022 Apr 28;47(4):512-520. doi: 10.11817/j.issn.1672-7347.2022.210582.
5
NF-κB and the Transcriptional Control of Inflammation.NF-κB 与炎症的转录控制。
Int Rev Cell Mol Biol. 2018;335:41-84. doi: 10.1016/bs.ircmb.2017.07.007. Epub 2017 Oct 12.
7
Acute high-altitude sickness.急性高原病
Eur Respir Rev. 2017 Jan 31;26(143). doi: 10.1183/16000617.0096-2016. Print 2017 Jan.
8
10
ROS and ROS-Mediated Cellular Signaling.活性氧(ROS)与 ROS 介导的细胞信号转导。
Oxid Med Cell Longev. 2016;2016:4350965. doi: 10.1155/2016/4350965. Epub 2016 Feb 22.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验