Influenza A virus infection activates TLR3-mediated necroptosis
Background: Influenza A virus (IAV) is a negative-sense RNA virus of the Orthomyxoviridae family and is the etiological agent of a highly contagious acute respiratory disease that can lead to acute lung injury. Objective: To elucidate the molecular mechanisms of IAV infection, an integrative research approach combining gene expression profiling, multinetwork analysis, and in vivo experimental validations was employed. Methods: First, a series of network-based analyses were performed, including protein–protein interaction network construction, weighted gene co-expression network analysis, and subsequent gene set enrichment analysis, to identify the major underlying mechanisms of IAV infection. Following gene expression analysis, core targets, both direct and indirect regulators, were screened. An IAV (H1N1) strain A/PR/8/34-induced acute lung injury mouse model was constructed for in vivo validations. Body weight was measured on days 0, 3, and 5 after infection. On day 5, lung tissues were collected to assess viral load and histopathological changes. Key targets were examined using enzyme-linked immunosorbent assay, Western blotting, and immunofluorescence staining, both in sera and lung tissues. Results: IAV infection was significantly associated with dysregulation of the immune-inflammation system, such as the toll-like receptor (TLR), nucleotide-binding oligomerization domain-like receptor, retinoic acid-inducible gene I-like receptor, and nuclear factor kappa-B signaling pathways. Gene set enrichment analysis further indicated that the TLR and necroptosis signaling pathways played crucial roles in the progression of IAV infection (TLR signaling pathway normalized enrichment score = 2.3941, P = 1.00 × 10 −10 ; necroptosis normalized enrichment score = 1.9421, P = 6.21 × 10 −7 ). Among the core targets, TLR3 and mixed lineage kinase domain-like protein (MLKL) may regulate gene expression at the transcriptional level (all P < 0.05). In vivo validation using an IAV (PR8) infected acute lung injury mouse model demonstrated increased viral load and lung index, alveolar structural damage, and inflammatory cell infiltration. Immunofluorescence staining exhibited large gaps in Lamin B1 staining and breaches in Emerin signals following IAV-PR8 infection. Expression levels of TLR3, p-receptor-interacting serine/threonine-protein kinase 3, and p-MLKL/MLKL proteins in lung tissues, as well as proinflammatory factors and mediators in sera, were significantly elevated after IAV infection. Moreover, enhanced neutrophil infiltration (myeloperoxidase) and citrullinated histone H3 (a neutrophil extracellular trap–specific marker), both established indicators of neutrophil extracellular trap formation, were observed. Notably, treatment with a TLR3 inhibitor significantly ameliorated IAV-induced acute lung injury by regulating necroptosis-related targets. Conclusion: Our study provides network-based in vivo evidence that TLR3-receptor-interacting serine/threonine-protein kinase 3-MLKL-mediated necroptosis may underlie IAV-induced acute lung injury and could serve as a potential therapeutic target in severe influenza cases.
Authors
- Xinyan Zhang (ORCID: https://orcid.org/0000-0002-9878-1663)
- Congying Huang
- T Y Gong
- Lijuan Song
- Heng Zhang (ORCID: https://orcid.org/0000-0002-0103-2173)
- Weijie Li (ORCID: https://orcid.org/0000-0003-4922-5473)
- Jin Xu (ORCID: https://orcid.org/0000-0003-2867-4616)
- Haiyu Xu
- Xiang Li
- Yuanjia Hu
- Ping Wang
- Ziling Zeng
Institutions
- Shenyang Pharmaceutical University (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- University of Macau (MO)
- Liaoning University of Traditional Chinese Medicine (CN)
- National Institutes for Food and Drug Control (CN)
- Guang’anmen Hospital (CN)
Publication Details
- Journal
- Science of Traditional Chinese Medicine
- Published
- 2025-12-19
- DOI
- https://doi.org/10.1097/st9.0000000000000093
- Primary Topic
- interferon and immune responses
- Type
- article
- Field-Weighted Citation Impact
- 0.00