The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.
SARS-CoV-2–triggered neutrophil extracellular traps mediate COVID-19 pathology
Open accessAbstract
Severe COVID-19 patients develop acute respiratory distress syndrome that may progress to cytokine storm syndrome, organ dysfunction, and death. Considering that neutrophil extracellular traps (NETs) have been described as important mediators of tissue damage in inflammatory diseases, we investigated whether NETs would be involved in COVID-19 pathophysiology. A cohort of 32 hospitalized patients with a confirmed diagnosis of COVID-19 and healthy controls were enrolled. The concentration of NETs was augmented in plasma, tracheal aspirate, and lung autopsies tissues from COVID-19 patients, and their neutrophils released higher levels of NETs. Notably, we found that viable SARS-CoV-2 can directly induce the release of NETs by healthy neutrophils. Mechanistically, NETs triggered by SARS-CoV-2 depend on angiotensin-converting enzyme 2, serine protease, virus replication, and PAD-4. Finally, NETs released by SARS-CoV-2–activated neutrophils promote lung epithelial cell death in vitro. These results unravel a possible detrimental role of NETs in the pathophysiology of COVID-19. Therefore, the inhibition of NETs represents a potential therapeutic target for COVID-19.
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Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30183-5 · Cited by 48,884
Clinical characteristics of coronavirus disease 2019 in China
Guan, W.-J., Ni, Z.-Y., Hu, Y., Liang, W.-H., Ou, C.-Q., He, J.-X., Liu, L., Shan, H., Lei, C.-L., Hui, D. S. C., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2002032 · Cited by 30,246
Hoffmann, M., Kleine-Weber, H., Schroeder, S., Krüger, N., Herrler, T., Erichsen, S., Schiergens, T. S., Herrler, G., Wu, N.-H., Nitsche, A., et al. (2020) · Cell · doi:10.1016/j.cell.2020.02.052 · Cited by 20,286
Wu, Z., & McGoogan, J. M. (2020) · JAMA · doi:10.1001/jama.2020.2648 · Cited by 17,016
Neutrophil Extracellular Traps Kill Bacteria
Brinkmann, V., Reichard, U., Goosmann, C., Fauler, B., Uhlemann, Y., Weiss, D. S., Weinrauch, Y., & Zychlinsky, A. (2004) · Science · doi:10.1126/science.1092385 · Cited by 10,268
COVID-19: consider cytokine storm syndromes and immunosuppression
Mehta, P., McAuley, D. F., Brown, M., Sanchez, E., Tattersall, R. S., & Manson, J. J. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30628-0 · Cited by 9,664
Remdesivir for the Treatment of Covid-19 — Final Report
Beigel, J. H., Tomashek, K. M., Dodd, L. E., Mehta, A. K., Zingman, B. S., Kalil, A. C., Hohmann, E., Chu, H. Y., Luetkemeyer, A., Kline, S., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2007764 · Cited by 7,267
Lai, C.-C., Shih, T.-P., Ko, W.-C., Tang, H.-J., & Hsueh, P.-R. (2020) · International Journal of Antimicrobial Agents · doi:10.1016/j.ijantimicag.2020.105924 · Cited by 6,068
Structure of the SARS-CoV-2 spike receptor-binding domain bound to the ACE2 receptor
Lan, J., Ge, J., Yu, J., Shan, S., Zhou, H., Fan, S., Zhang, Q., Shi, X., Wang, Q., Zhang, L., et al. (2020) · Nature · doi:10.1038/s41586-020-2180-5 · Cited by 5,983
Angiotensin-converting enzyme 2 is a functional receptor for the SARS coronavirus
Li, W., Moore, M. J., Vasilieva, N., Sui, J., Wong, S. K., Berne, M. A., Somasundaran, M., Sullivan, J. L., Luzuriaga, K., Greenough, T. C., et al. (2003) · Nature · doi:10.1038/nature02145 · Cited by 5,923
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Interplay between inflammation and thrombosis in cardiovascular pathology
Stark, K., & Massberg, S. (2021) · Nature Reviews Cardiology · doi:10.1038/s41569-021-00552-1 · Cited by 1,033
Endothelial dysfunction and immunothrombosis as key pathogenic mechanisms in COVID-19
Bonaventura, A., Vecchié, A., Dagna, L., Martinod, K., Dixon, D. L., Van Tassell, B. W., Dentali, F., Montecucco, F., Massberg, S., Levi, M., et al. (2021) · Nature Reviews Immunology · doi:10.1038/s41577-021-00536-9 · Cited by 987
COVID-19 and the human innate immune system
Schultze, J. L., & Aschenbrenner, A. C. (2021) · Cell · doi:10.1016/j.cell.2021.02.029 · Cited by 714
Understanding COVID-19-associated coagulopathy
Conway, E. M., Mackman, N., Warren, R. Q., Wolberg, A. S., Mosnier, L. O., Campbell, R. A., Gralinski, L. E., Rondina, M. T., van de Veerdonk, F. L., Hoffmeister, K. M., et al. (2022) · Nature Reviews Immunology · doi:10.1038/s41577-022-00762-9 · Cited by 359
Virus-induced senescence is a driver and therapeutic target in COVID-19
Lee, S., Yu, Y., Trimpert, J., Benthani, F., Mairhofer, M., Richter-Pechanska, P., Wyler, E., Belenki, D., Kaltenbrunner, S., Pammer, M., et al. (2021) · Nature · doi:10.1038/s41586-021-03995-1 · Cited by 350
Metadata
- Authors
- Veras, F. P., Pontelli, M. C., Silva, C. M., Toller-Kawahisa, J. E., de Lima, M., Nascimento, D. C., Schneider, A. H., Caetité, D., Tavares, L. A., Paiva, I. M., Rosales, R., Colón, D., Martins, R., Castro, I. A., Almeida, G. M., Lopes, M. I. F., Benatti, M. N., Bonjorno, L. P., Giannini, M. C., Luppino-Assad, R., Almeida, S. L., Vilar, F., Santana, R., Bollela, V. R., Auxiliadora-Martins, M., Borges, M., Miranda, C. H., Pazin-Filho, A., da Silva, L. L. P., Cunha, L. D., Zamboni, D. S., Dal-Pizzol, F., Leiria, L. O., Siyuan, L., Batah, S., Fabro, A., Mauad, T., Dolhnikoff, M., Duarte-Neto, A., Saldiva, P., Cunha, T. M., Alves-Filho, J. C., Arruda, E., Louzada-Junior, P., Oliveira, R. D., & Cunha, F. Q.
- Venue
- Journal of Experimental Medicine
- Publisher
- Rockefeller University Press
- Published
- 2020-09-14
- Volume
- 217
- Issue
- 12
- ISSN
- 0022-1007 (ISSN-L)
- 1540-9538
- OpenAlex
- W3085958090
- Cited by
- 933
- References
- 56
- FWCI
- 50.65
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Veras, F. P., Pontelli, M. C., Silva, C. M., Toller-Kawahisa, J. E., de Lima, M., Nascimento, D. C., Schneider, A. H., Caetité, D., Tavares, L. A., Paiva, I. M., Rosales, R., Colón, D., Martins, R., Castro, I. A., Almeida, G. M., Lopes, M. I. F., Benatti, M. N., Bonjorno, L. P., Giannini, M. C., . . . Cunha, F. Q. (2020). SARS-CoV-2–triggered neutrophil extracellular traps mediate COVID-19 pathology. Journal of Experimental Medicine. https://doi.org/10.1084/jem.20201129
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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