Dual antiviral and anti-inflammatory effects of BAY 11-7082 in SARS-CoV-2 infection via inhibition of the canonical NF-κB signaling pathway

The continued emergence of SARS-CoV-2 variants and persistent inflammatory complications of COVID-19 highlight the urgent need for therapeutics with both antiviral and anti-inflammatory properties. Despite intensive global efforts, no approved antiviral therapy with these dual functions has yet been developed, representing a significant gap in current COVID-19 treatment strategies. In this study, we identify BAY 11-7082 (BAY) as a dual-action compound that inhibits SARS-CoV-2 replication and the production of virus-induced pro-inflammatory cytokines and chemokines, including IL-6, IL-8, CXCL1, and CXCL2. BAY predominantly exerts its antiviral activity at the post-entry stage of the viral life cycle. Mechanistically, BAY potentially interacts with SARS-CoV-2 NSP14 and inhibits virus-induced phosphorylation and degradation of IκBα, suppressing NF-κB activation through the IKK-IκBα signaling axis. Furthermore, BAY exhibits potent antiviral activity against multiple SARS-CoV-2 variants of concern (VOCs). Collectively, these findings support the potential of BAY as a dual-action therapeutic candidate, combining antiviral and anti-inflammatory effects, against SARS-CoV-2 and its emerging variants.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-04-16
DOI
https://doi.org/10.1038/s41598-026-48699-6
Primary Topic
SARS-CoV-2 and COVID-19 Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dual antiviral and anti-inflammatory effects of BAY 11-7082 in SARS-CoV-2 infection via inhibition of the canonical NF-κB signaling pathway

Ming-Sian Wu, Chun-Hsi Tso, Chin-Mao Hung, Der‐Yuan Wang et al.
Scientific Reports
SARS-CoV-2 and COVID-19 Research
article

Dual antiviral and anti-inflammatory effects of BAY 11-7082 in SARS-CoV-2 infection via inhibition of the canonical NF-κB signaling pathway

Ming-Sian Wu, Chun-Hsi Tso, Chin-Mao Hung, Der‐Yuan Wang, Jia-Chuan Hsu, Chia-Wen Shih, Po-Chih Wu, Hao‐Ai Shui, Chi-Tun Tang, Meng-Chang Lee
article en

Abstract

The continued emergence of SARS-CoV-2 variants and persistent inflammatory complications of COVID-19 highlight the urgent need for therapeutics with both antiviral and anti-inflammatory properties. Despite intensive global efforts, no approved antiviral therapy with these dual functions has yet been developed, representing a significant gap in current COVID-19 treatment strategies. In this study, we identify BAY 11-7082 (BAY) as a dual-action compound that inhibits SARS-CoV-2 replication and the production of virus-induced pro-inflammatory cytokines and chemokines, including IL-6, IL-8, CXCL1, and CXCL2. BAY predominantly exerts its antiviral activity at the post-entry stage of the viral life cycle. Mechanistically, BAY potentially interacts with SARS-CoV-2 NSP14 and inhibits virus-induced phosphorylation and degradation of IκBα, suppressing NF-κB activation through the IKK-IκBα signaling axis. Furthermore, BAY exhibits potent antiviral activity against multiple SARS-CoV-2 variants of concern (VOCs). Collectively, these findings support the potential of BAY as a dual-action therapeutic candidate, combining antiviral and anti-inflammatory effects, against SARS-CoV-2 and its emerging variants.

Scientific Reports
Ministry of Health and Welfare (TW), Taiwan Food and Drug Administration (TW), National Defense Medical Center (TW)
University of Glasgow, Tri-Service General Hospital, Medical Research Council
Responsible consumption and production
Openalex Percentile: Top 5%
SARS-CoV-2 and COVID-19 Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.