Issue 7, 2022, Issue in Progress

Selenium nanoparticles inhibited H1N1 influenza virus-induced apoptosis by ROS-mediated signaling pathways

Abstract

Influenza A (H1N1) viruses are distributed around the world and pose a threat to public health. Vaccination is the main treatment strategy to prevent influenza infection, but antiviral drugs also play an important role in controlling seasonal and pandemic influenza. Currently, as influenza viruses may be developing antiviral resistance, new agents with different modes of action are being investigated. Recently, selenium nanoparticles (SeNPs), which have antiviral effects, have attracted increasing attention in biomedical interventions. The appearance of nanotechnology has attracted great attention in the field of nanomedicine. SeNPs constitute an attractive vector platform for delivering a variety of drugs to action targets. SeNPs are being explored for potential therapeutic efficacy in a variety of oxidative stress and inflammation-mediated diseases, such as cancer, arthritis, diabetes, and kidney disease. SeNPs could inhibit infection of Madin–Darby canine kidney (MDCK) cells with H1N1 and prevent chromatin condensation and DNA fragmentation. ROS play a key role in physiological processes for apoptosis. SeNPs significantly inhibited the production of reactive oxygen species (ROS) in MDCK cells. Mechanistic investigation revealed that SeNPs inhibited the apoptosis induced by H1N1 virus infection in MDCK cells by improving the level of GPx1. Our results suggest that SeNPs are an effective selenium source and a promising H1N1 influenza antiviral candidate.

Graphical abstract: Selenium nanoparticles inhibited H1N1 influenza virus-induced apoptosis by ROS-mediated signaling pathways

Article information

Article type
Paper
Submitted
26 Nov 2021
Accepted
11 Jan 2022
First published
31 Jan 2022
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2022,12, 3862-3870

Selenium nanoparticles inhibited H1N1 influenza virus-induced apoptosis by ROS-mediated signaling pathways

X. Liu, D. Chen, J. Su, R. Zheng, Z. Ning, M. Zhao, B. Zhu and Y. Li, RSC Adv., 2022, 12, 3862 DOI: 10.1039/D1RA08658H

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