journal article·2025-11Open access

The NSP5, ORF6 and NSP13 of SARS‐CoV‐2 Cooperate to Modulate Inflammatory Cell Death Activation

Huan Wang, Mengdi Liang, Jing Zhang, Hua Tong, Fenfen Zhang, Ying Liu, Pui Wang, Mengmeng Chang, Fei Han, Siwen Liu, Yongping Lin, Wenjun Song, Rajendra Karki, Peihui Wang, Honglin Chen, Yang Liu, Min Zheng

Advanced Science· Volume 12· Issue 41

Abstract

Abstract Programmed cell death is a pivotal mechanism of cell‐autonomous immune defense against viral infections. Recent studies indicate that both blocking and promoting cell death negatively affect coronavirus replication, implying that coronaviruses may fine‐tune cell death pathways to optimize their propagation. However, the mechanisms underlying this remain poorly understood. Here, it is verified that coronaviruses induce the formation of a Z‐DNA‐binding protein 1 (ZBP1)‐initiated cell death complex involving ZBP1, Z‐RNA, receptor‐interacting serine/threonine‐protein kinase 3 (RIPK3), and caspase‐8, thereby triggering apoptosis, pyroptosis, and necroptosis in human bronchial epithelial cells. To impede the activation of apoptosis and pyroptosis, NSP5 and ORF6 of SARS‐CoV‐2 concurrently inhibit caspase‐8 activity by targeting its large and small subunits, respectively. Additionally, NSP13, the viral helicase, interacts with RIPK3 to impair its binding to ZBP1, thus suppressing ZBP1‐initiated necroptosis. This inhibitory effect on cell death is likely conserved across β‐coronaviruses. Furthermore, co‐infection of influenza A virus and SARS‐CoV‐2 is demonstrated to exacerbate disease severity, although the mechanisms remain unclear. These findings suggest that β‐coronavirus‐induced inhibition of cell death enhances influenza A virus replication and worsens inflammation during their co‐infection, ultimately increasing mortality in mice. This research provides valuable insights into the regulation of coronavirus‐induced cell death, offering potential therapeutic strategies for combating highly pathogenic coronavirus infections.
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Research context

OpenAlex topics: interferon and immune responses · SARS-CoV-2 and COVID-19 Research · COVID-19 Clinical Research Studies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Institute of infectious diseases Shenzhen Bay Laboratory Shenzhen Guangdong 518132 China

Guangdong Provincial Key Laboratory of Infection Immunity and Inflammation Shenzhen Guangdong 518060 China

Key Laboratory for Experimental Teratology of Ministry of Education and advanced Medical Research Institute Meili Lake Translational Research Park Cheeloo College of Medicine Shandong University Jinan 250012 China

Department of Microbiology and State Key Laboratory for Emerging Infectious Diseases the University of Hong Kong Hong Kong 999077 China

Department of Preventive Veterinary Medicine Guangxi University Nan Ning 530004 China

Department of Laboratory Medicine the First Affiliated Hospital of Guangzhou Medical University Guangzhou 510030 China

KingMed School of Laboratory Medicine Guangzhou Medical University Guangzhou 510182 China

Guangzhou Laboratory Guangzhou International Bio Island Guangzhou 510005 China

Department of Biological Sciences College of Natural Science Seoul National University Seoul 08826 South Korea

Funding

National Natural Science Foundation of China · Shenzhen Bay Laboratory

References (97)

Show source-provided references
1. 10.1126/sciadv.abf857710.1126/sciadv.abf8577 ↗
2. COVID ‐ Coronavirus Statistics‐Worldometer (n.d.) https://www.worldometers.info/coronavirus/? (accessed April 4 2023).
3. 10.1016/S0140-6736(20)30183-510.1016/S0140-6736(20)30183-5 ↗
4. 10.1038/nrmicro.2016.8110.1038/nrmicro.2016.81 ↗
5. 10.1016/j.cell.2020.11.02510.1016/j.cell.2020.11.025 ↗
6. 10.1126/sciimmunol.abo629410.1126/sciimmunol.abo6294 ↗
7. 10.1038/s41422-022-00775-y10.1038/s41422-022-00775-y ↗
8. Newton K. · Cell death, Cell · 2024 · 187 · 235
9. 10.1016/j.tibs.2016.10.00410.1016/j.tibs.2016.10.004 ↗
10. 10.1038/nchembio71110.1038/nchembio711 ↗
11. 10.1016/j.cell.2011.11.03110.1016/j.cell.2011.11.031 ↗
12. 10.3389/fcimb.2020.0023710.3389/fcimb.2020.00237 ↗
13. 10.1016/j.coi.2023.10234810.1016/j.coi.2023.102348 ↗
14. 10.1016/j.coi.2023.10234710.1016/j.coi.2023.102347 ↗
15. 10.1016/j.chom.2016.09.01410.1016/j.chom.2016.09.014 ↗
16. 10.1126/sciimmunol.aag204510.1126/sciimmunol.aag2045 ↗
17. 10.1016/j.chom.2016.05.01110.1016/j.chom.2016.05.011 ↗
18. 10.1016/j.cell.2020.02.05010.1016/j.cell.2020.02.050 ↗
19. 10.1146/annurev-immunol-083122-04354510.1146/annurev-immunol-083122-043545 ↗
20. 10.3389/fimmu.2022.91271710.3389/fimmu.2022.912717 ↗
21. 10.1038/s41392-020-00334-010.1038/s41392-020-00334-0 ↗
22. 10.1126/sciimmunol.adn017810.1126/sciimmunol.adn0178 ↗
23. 10.1016/j.isci.2024.11144410.1016/j.isci.2024.111444 ↗
24. Chu H. · Nature · 2022 · 609 · 785
25. 10.1038/s41420-021-00781-w10.1038/s41420-021-00781-w ↗
26. 10.1038/s41586-020-2129-810.1038/s41586-020-2129-8 ↗
27. 10.15252/embj.20179647610.15252/embj.201796476 ↗
28. 10.1038/s41586-023-05710-810.1038/s41586-023-05710-8 ↗
29. 10.1074/jbc.RA120.01375210.1074/jbc.RA120.013752 ↗
30. 10.1016/j.cell.2021.02.04410.1016/j.cell.2021.02.044 ↗
31. 10.1016/j.csbj.2021.07.03810.1016/j.csbj.2021.07.038 ↗
32. 10.1073/pnas.180954811510.1073/pnas.1809548115 ↗
33. 10.1126/science.aau281810.1126/science.aau2818 ↗
34. 10.1126/sciadv.abc346510.1126/sciadv.abc3465 ↗
35. 10.1038/nature2239310.1038/nature22393 ↗
36. 10.1038/nature1040010.1038/nature10400 ↗
37. 10.1038/nature0985710.1038/nature09857 ↗
38. 10.1038/nature0985210.1038/nature09852 ↗
39. 10.1038/s41587-022-01474-010.1038/s41587-022-01474-0 ↗
40. 10.1074/jbc.273.8.434510.1074/jbc.273.8.4345 ↗
41. 10.1038/s41421-021-00310-010.1038/s41421-021-00310-0 ↗
42. 10.3389/fimmu.2021.72889610.3389/fimmu.2021.728896 ↗
43. 10.1038/s41590-021-00937-x10.1038/s41590-021-00937-x ↗
44. 10.1038/s41422-021-00519-410.1038/s41422-021-00519-4 ↗
45. 10.3389/fcimb.2021.70625210.3389/fcimb.2021.706252 ↗
46. 10.1038/s41418-022-00928-x10.1038/s41418-022-00928-x ↗
47. 10.1038/s41423-020-0485-910.1038/s41423-020-0485-9 ↗
48. 10.1126/sciadv.abe738610.1126/sciadv.abe7386 ↗
49. 10.1038/s41594-020-0511-810.1038/s41594-020-0511-8 ↗
50. 10.1016/j.ejmech.2020.11271110.1016/j.ejmech.2020.112711 ↗
51. 10.1016/j.redox.2021.10219910.1016/j.redox.2021.102199 ↗
52. 10.1038/s41586-020-2286-910.1038/s41586-020-2286-9 ↗
53. 10.1016/j.molcel.2022.04.03310.1016/j.molcel.2022.04.033 ↗
54. 10.1016/j.cell.2020.03.04010.1016/j.cell.2020.03.040 ↗
55. 10.1126/science.abb340510.1126/science.abb3405 ↗
56. Van Opdenbosch N. · Caspases in Cell Death, Inflammation, and Disease, Immunity · 2019 · 50 · 1352
57. 10.1073/pnas.201665011710.1073/pnas.2016650117 ↗
58. 10.3389/fmolb.2021.81324810.3389/fmolb.2021.813248 ↗
59. 10.1016/j.chom.2015.01.00310.1016/j.chom.2015.01.003 ↗
60. 10.1038/nri313110.1038/nri3131 ↗
61. Mocarski E. S. · Curr. Top. Microbiol. Immunol. · 2023 · 442 · 65
62. 10.1038/s41422-023-00859-310.1038/s41422-023-00859-3 ↗
63. 10.1038/s41556-022-00854-710.1038/s41556-022-00854-7 ↗
64. 10.1016/j.cell.2012.06.01910.1016/j.cell.2012.06.019 ↗
65. 10.1016/j.cell.2018.03.03210.1016/j.cell.2018.03.032 ↗
66. 10.1016/j.ijid.2023.08.02110.1016/j.ijid.2023.08.021 ↗
67. 10.1016/S0140-6736(22)00383-X10.1016/S0140-6736(22)00383-X ↗
68. 10.1038/s41467-021-26113-110.1038/s41467-021-26113-1 ↗
69. 10.1016/j.immuni.2020.07.00510.1016/j.immuni.2020.07.005 ↗
70. 10.1016/j.cell.2014.11.03610.1016/j.cell.2014.11.036 ↗
71. 10.1016/j.immuni.2017.02.01110.1016/j.immuni.2017.02.011 ↗
72. 10.1016/j.molcel.2019.02.01310.1016/j.molcel.2019.02.013 ↗
73. 10.1016/j.immuni.2020.02.00210.1016/j.immuni.2020.02.002 ↗
74. 10.1126/sciadv.abf629010.1126/sciadv.abf6290 ↗
75. 10.1038/s41586-023-06889-610.1038/s41586-023-06889-6 ↗
76. Wang Y. · Cell Rep. · 2022 · 41
77. 10.1093/emboj/cdg27910.1093/emboj/cdg279 ↗
78. 10.1128/JVI.03531-1410.1128/JVI.03531-14 ↗
79. 10.1016/j.chom.2012.01.01610.1016/j.chom.2012.01.016 ↗
80. 10.1016/j.immuni.2020.11.02010.1016/j.immuni.2020.11.020 ↗
81. 10.1111/j.1462-5822.2005.00678.x10.1111/j.1462-5822.2005.00678.x ↗
82. 10.1189/jlb.101153010.1189/jlb.1011530 ↗
83. 10.1128/JVI.76.4.1617-1625.200210.1128/JVI.76.4.1617-1625.2002 ↗
84. 10.1016/j.virol.2009.10.00410.1016/j.virol.2009.10.004 ↗
85. 10.1016/j.celrep.2021.10891610.1016/j.celrep.2021.108916 ↗
86. 10.1038/s41467-021-25166-610.1038/s41467-021-25166-6 ↗
87. 10.1038/s41467-024-50931-810.1038/s41467-024-50931-8 ↗
88. 10.1038/s41467-022-32489-510.1038/s41467-022-32489-5 ↗
89. 10.1038/s41467-022-31930-z10.1038/s41467-022-31930-z ↗
90. 10.1128/JVI.00402-2110.1128/JVI.00402-21 ↗
91. 10.1038/s41422-023-00784-510.1038/s41422-023-00784-5 ↗
92. 10.1038/s41467-019-12632-510.1038/s41467-019-12632-5 ↗
93. 10.1038/s41577-020-0288-310.1038/s41577-020-0288-3 ↗
94. Ogawa J. · BioRxiv Prepr. Serv. Biol. · 2020
95. 10.1038/nature1551410.1038/nature15514 ↗
96. 10.1074/jbc.RA120.01503610.1074/jbc.RA120.015036 ↗
97. 10.1128/JVI.00919-1510.1128/JVI.00919-15 ↗