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FcγR-mediated SARS-CoV-2 infection of monocytes activates inflammation
Open accessAbstract
SARS-CoV-2 can cause acute respiratory distress and death in some patients1. Although severe COVID-19 is linked to substantial inflammation, how SARS-CoV-2 triggers inflammation is not clear2. Monocytes and macrophages are sentinel cells that sense invasive infection to form inflammasomes that activate caspase-1 and gasdermin D, leading to inflammatory death (pyroptosis) and the release of potent inflammatory mediators3. Here we show that about 6% of blood monocytes of patients with COVID-19 are infected with SARS-CoV-2. Monocyte infection depends on the uptake of antibody-opsonized virus by Fcγ receptors. The plasma of vaccine recipients does not promote antibody-dependent monocyte infection. SARS-CoV-2 begins to replicate in monocytes, but infection is aborted, and infectious virus is not detected in the supernatants of cultures of infected monocytes. Instead, infected cells undergo pyroptosis mediated by activation of NLRP3 and AIM2 inflammasomes, caspase-1 and gasdermin D. Moreover, tissue-resident macrophages, but not infected epithelial and endothelial cells, from lung autopsies from patients with COVID-19 have activated inflammasomes. Taken together, these findings suggest that antibody-mediated SARS-CoV-2 uptake by monocytes and macrophages triggers inflammatory cell death that aborts the production of infectious virus but causes systemic inflammation that contributes to COVID-19 pathogenesis. Antibody-mediated SARS-CoV-2 uptake by monocytes and macrophages triggers inflammatory cell death that aborts the production of infectious virus but causes systemic inflammation that contributes to COVID-19 pathogenesis.
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Cites
Zhou, F., Yu, T., Du, R., Fan, G., Liu, Y., Liu, Z., Xiang, J., Wang, Y., Song, B., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30566-3 · Cited by 27,263
The trinity of COVID-19: immunity, inflammation and intervention
Tay, M. Z., Poh, C. M., Rénia, L., MacAry, P. A., & Ng, L. F. P. (2020) · Nature Reviews Immunology · doi:10.1038/s41577-020-0311-8 · Cited by 4,360
Inflammasome-activated gasdermin D causes pyroptosis by forming membrane pores
Liu, X., Zhang, Z., Ruan, J., Pan, Y., Magupalli, V. G., Wu, H., & Lieberman, J. (2016) · Nature · doi:10.1038/nature18629 · Cited by 3,202
Self-citationImpaired type I interferon activity and inflammatory responses in severe COVID-19 patients
Hadjadj, J., Yatim, N., Barnabei, L., Corneau, A., Boussier, J., Smith, N., Péré, H., Charbit, B., Bondet, V., Chenevier-Gobeaux, C., et al. (2020) · Science · doi:10.1126/science.abc6027 · Cited by 2,984
Antibody responses to SARS-CoV-2 in patients with COVID-19
Long, Q.-X., Liu, B.-Z., Deng, H.-J., Wu, G.-C., Deng, K., Chen, Y.-K., Liao, P., Qiu, J.-F., Lin, Y., Cai, X.-F., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0897-1 · Cited by 2,876
An inflammatory cytokine signature predicts COVID-19 severity and survival
Del Valle, D. M., Kim-Schulze, S., Huang, H.-H., Beckmann, N. D., Nirenberg, S., Wang, B., Lavin, Y., Swartz, T. H., Madduri, D., Stock, A., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-1051-9 · Cited by 2,605
Pathological inflammation in patients with COVID-19: a key role for monocytes and macrophages
Merad, M., & Martin, J. C. (2020) · Nature Reviews Immunology · doi:10.1038/s41577-020-0331-4 · Cited by 2,472
Interleukin-1 in the pathogenesis and treatment of inflammatory diseases
Dinarello, C. A. (2011) · Blood · doi:10.1182/blood-2010-07-273417 · Cited by 2,248
Cytokine release syndrome in severe COVID-19
Moore, J. B., & June, C. H. (2020) · Science · doi:10.1126/science.abb8925 · Cited by 1,912
REGN-COV2, a Neutralizing Antibody Cocktail, in Outpatients with Covid-19
Weinreich, D. M., Sivapalasingam, S., Norton, T., Ali, S., Gao, H., Bhore, R., Musser, B. J., Soo, Y., Rofail, D., Im, J., et al. (2021) · New England Journal of Medicine · doi:10.1056/nejmoa2035002 · Cited by 1,642
PhenoScanner: a database of human genotype-phenotype associations.
Staley, J. R., Blackshaw, J., Kamat, M. A., Ellis, S., Surendran, P., Sun, B. B., Paul, D. S., Freitag, D., Burgess, S., Danesh, J., et al. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btw373 · Cited by 1,479
Efficacy of Tocilizumab in Patients Hospitalized with Covid-19
Stone, J. H., Frigault, M. J., Serling-Boyd, N. J., Fernandes, A. D., Harvey, L., Foulkes, A. S., Horick, N. K., Healy, B. C., Shah, R., Bensaci, A. M., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2028836 · Cited by 1,362
The AIM2 inflammasome is essential for host defense against cytosolic bacteria and DNA viruses
Rathinam, V. A. K., Jiang, Z., Waggoner, S. N., Sharma, S., Cole, L. E., Waggoner, L., Vanaja, S. K., Monks, B. G., Ganesan, S., Latz, E., et al. (2010) · Nature Immunology · doi:10.1038/ni.1864 · Cited by 1,331
Guidelines for performing Mendelian randomization investigations
Burgess, S., Davey Smith, G., Davies, N. M., Dudbridge, F., Gill, D., Glymour, M. M., Hartwig, F. P., Holmes, M. V., Minelli, C., Relton, C. L., et al. (2020) · Wellcome Open Research · doi:10.12688/wellcomeopenres.15555.2 · Cited by 1,273
FDA-approved disulfiram inhibits pyroptosis by blocking gasdermin D pore formation
Hu, J. J., Liu, X., Xia, S., Zhang, Z., Zhang, Y., Zhao, J., Ruan, J., Luo, X., Lou, X., Bai, Y., et al. (2020) · Nature Immunology · doi:10.1038/s41590-020-0669-6 · Cited by 1,145
Self-citationEarly treatment for Covid-19 with SARS-CoV-2 neutralizing antibody sotrovimab
Gupta, A., Gonzalez-Rojas, Y., Juarez, E., Crespo Casal, M., Moya, J., Falci, D. R., Sarkis, E., Solis, J., Zheng, H., Scott, N., et al. (2021) · New England Journal of Medicine · doi:10.1056/nejmoa2107934 · Cited by 1,086
Type I and Type III Interferons – Induction, Signaling, Evasion, and Application to Combat COVID-19
Park, A., & Iwasaki, A. (2020) · Cell Host & Microbe · doi:10.1016/j.chom.2020.05.008 · Cited by 909
An Infectious cDNA Clone of SARS-CoV-2
Xie, X., Muruato, A., Lokugamage, K. G., Narayanan, K., Zhang, X., Zou, J., Liu, J., Schindewolf, C., Bopp, N. E., Aguilar, P. V., et al. (2020) · Cell Host & Microbe · doi:10.1016/j.chom.2020.04.004 · Cited by 647
Bias in causal estimates from Mendelian randomization studies with weak instruments
Burgess, S., & Thompson, S. G. (2011) · Statistics in Medicine · doi:10.1002/sim.4197 · Cited by 421
Afucosylated IgG characterizes enveloped viral responses and correlates with COVID-19 severity
Larsen, M. D., de Graaf, E. L., Sonneveld, M. E., Plomp, H. R., Nouta, J., Hoepel, W., Chen, H.-J., Linty, F., Visser, R., Brinkhaus, M., et al. (2021) · Science · doi:10.1126/science.abc8378 · Cited by 408
Seroprevalence of immunoglobulin M and G antibodies against SARS-CoV-2 in China
Xu, X., Sun, J., Nie, S., Li, H., Kong, Y., Liang, M., Hou, J., Huang, X., Li, D., Ma, T., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0949-6 · Cited by 405
Proinflammatory IgG Fc structures in patients with severe COVID-19
Chakraborty, S., Gonzalez, J., Edwards, K., Mallajosyula, V., Buzzanco, A. S., Sherwood, R., Buffone, C., Kathale, N., Providenza, S., Xie, M. M., et al. (2021) · Nature Immunology · doi:10.1038/s41590-020-00828-7 · Cited by 326
Human NLRP1 is a sensor for double-stranded RNA
Bauernfried, S., Scherr, M. J., Pichlmair, A., Duderstadt, K. E., & Hornung, V. (2021) · Science · doi:10.1126/science.abd0811 · Cited by 304
Song, X., Hu, W., Yu, H., Zhao, L., Zhao, Y., Zhao, X., Xue, H., & Zhao, Y. (2023) · Cytometry Part A · doi:10.1002/cyto.a.24285 · Cited by 117
Davis, M. A., Fairgrieve, M. R., Den Hartigh, A., Yakovenko, O., Duvvuri, B., Lood, C., Thomas, W. E., Fink, S. L., & Gale, M. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1818598116 · Cited by 104
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The NLRP3 inflammasome: contributions to inflammation-related diseases
Chen, Y., Ye, X., Escames, G., Lei, W., Zhang, X., Li, M., Jing, T., Yao, Y., Qiu, Z., Wang, Z., et al. (2023) · Cellular & Molecular Biology Letters · doi:10.1186/s11658-023-00462-9 · Cited by 492
A 360° view of the inflammasome: Mechanisms of activation, cell death, and diseases
Barnett, K. C., Li, S., Liang, K., & Ting, J. P.-Y. (2023) · Cell · doi:10.1016/j.cell.2023.04.025 · Cited by 458
COVID-19 and cellular senescence
Schmitt, C. A., Tchkonia, T., Niedernhofer, L. J., Robbins, P. D., Kirkland, J. L., & Lee, S. (2023) · Nature Reviews Immunology · doi:10.1038/s41577-022-00785-2 · Cited by 153
Baricitinib attenuates the proinflammatory phase of COVID-19 driven by lung-infiltrating monocytes
Dobosh, B., Zandi, K., Giraldo, D. M., Goh, S. L., Musall, K., Aldeco, M., LeCher, J., Giacalone, V. D., Yang, J., Eddins, D. J., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.110945 · Cited by 19
Tian, C., Ao, Z., Cerneckis, J., Cai, H., Chen, L., Niu, H., Takayama, K., Kim, J., Shi, Y., Gu, M., et al. (2025) · Science Advances · doi:10.1126/sciadv.adu2708 · Cited by 9
“Peripheral monocytes, a crucial component of the peripheral immune system, are gaining increasing recognition for their importance in inflammation ( 11 , 12 ), which has generated substantial interest in their role in AD neuroinflammation and potential impact on disease progression.”
Metadata
- Authors
- Junqueira, C., Crespo, Â., Ranjbar, S., de Lacerda, L. B., Lewandrowski, M., Ingber, J., Parry, B., Ravid, S., Clark, S., Schrimpf, M. R., Ho, F., Beakes, C., Margolin, J., Russell, N., Kays, K., Boucau, J., Das Adhikari, U., Vora, S. M., Leger, V., Gehrke, L., Henderson, L. A., Janssen, E., Kwon, D., Sander, C., Abraham, J., Goldberg, M. B., Wu, H., Mehta, G., Bell, S., Goldfeld, A. E., Filbin, M. R., & Lieberman, J.
- Venue
- Nature
- Published
- 2022-04-06
- Volume
- 606
- Issue
- 7914
- Pages
- 576-584
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W4225890110
- Cited by
- 631
- References
- 25
- FWCI
- 39.29
- Type
- journal article
- Language
- en
- Open access
- bronze
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