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A Systems Analysis Identifies a Feedforward Inflammatory Circuit Leading to Lethal Influenza Infection
Open accessAbstract
Summary For acutely lethal influenza infections, the relative pathogenic contributions of direct viral damage to lung epithelium vs. dysregulated immunity remain unresolved. Here we take a top-down systems approach to this question. Multigene transcriptional signatures from infected lungs suggested that elevated activation of inflammatory signaling networks distinguished lethal from sublethal infections. Flow cytometry and gene expression analysis involving isolated cell subpopulations from infected lungs showed that neutrophil influx largely accounted for the predictive transcriptional signature. Automated imaging analysis together with these gene expression and flow data identified a chemokine-driven feed-forward circuit involving pro-inflammatory neutrophils potently driven by poorly contained lethal viruses. Consistent with these data, attenuation but not ablation of the neutrophil-driven response increased survival without changing viral spread. These findings establish the primacy of damaging innate inflammation in at least some forms of influenza-induced lethality and provide a roadmap for the systematic dissection of infection-associated pathology.
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TM4: a free, open-source system for microarray data management and analysis
Saeed, A. I., Sharov, V., White, J., Li, J., Liang, W., Bhagabati, N., Braisted, J., Klapa, M., Currier, T., Thiagarajan, M., et al. (2003) · BioTechniques · doi:10.2144/03342mt01 · Cited by 4,837
Shared Principles in NF-κB Signaling
Hayden, M. S., & Ghosh, S. (2008) · Cell · doi:10.1016/j.cell.2008.01.020 · Cited by 4,494
More powerful procedures for multiple significance testing
Hochberg, Y., & Benjamini, Y. (1990) · Statistics in Medicine · doi:10.1002/sim.4780090710 · Cited by 2,715
Conditional gene targeting in macrophages and granulocytes using LysMcre mice
Clausen, B. E., Burkhardt, C., Reith, W., Renkawitz, R., & Förster, I. (1999) · Transgenic Research · doi:10.1023/a:1008942828960 · Cited by 2,098
HIF-1α is essential for myeloid cell-mediated inflammation
Cramer, T., Yamanishi, Y., Clausen, B. E., Förster, I., Pawlinski, R., Mackman, N., Haase, V. H., Jaenisch, R., Corr, M., Nizet, V., et al. (2003) · Cell · doi:10.1016/s0092-8674(03)00154-5 · Cited by 2,046
Reich, M., Liefeld, T., Gould, J., Lerner, J., Tamayo, P., & Mesirov, J. P. (2006) · Nature Genetics · doi:10.1038/ng0506-500 · Cited by 2,032
[9] TM4 Microarray Software Suite
Saeed, A. I., Bhagabati, N. K., Braisted, J. C., Liang, W., Sharov, V., Howe, E. A., Li, J., Thiagarajan, M., White, J. A., & Quackenbush, J. (2006) · Methods in Enzymology · doi:10.1016/s0076-6879(06)11009-5 · Cited by 1,983
Fatal outcome of human influenza A (H5N1) is associated with high viral load and hypercytokinemia.
de Jong, M. D., Simmons, C. P., Thanh, T. T., Hien, V. M., Smith, G. J. D., Chau, T. N. B., Hoang, D. M., Van Vinh Chau, N., Khanh, T. H., Dong, V. C., et al. (2006) · Nature Medicine · doi:10.1038/nm1477 · Cited by 1,858
De-ubiquitination and ubiquitin ligase domains of A20 downregulate NF-κB signalling
Wertz, I. E., O'Rourke, K. M., Zhou, H., Eby, M., Aravind, L., Seshagiri, S., Wu, P., Wiesmann, C., Baker, R., Boone, D. L., et al. (2004) · Nature · doi:10.1038/nature02794 · Cited by 1,856
1918 Influenza: the Mother of All Pandemics
Taubenberger, J. K., & Morens, D. M. (2006) · Emerging Infectious Diseases · doi:10.3201/eid1201.050979 · Cited by 1,686
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Trompette, A., Gollwitzer, E. S., Pattaroni, C., Lopez-Mejia, I. C., Riva, E., Pernot, J., Ubags, N., Fajas, L., Nicod, L. P., & Marsland, B. J. (2018) · Immunity · doi:10.1016/j.immuni.2018.04.022 · Cited by 678
Schurink, B., Roos, E., Radonic, T., Barbe, E., Bouman, C. S. C., de Boer, H. H., de Bree, G. J., Bulle, E. B., Aronica, E. M., Florquin, S., et al. (2020) · The Lancet Microbe · doi:10.1016/s2666-5247(20)30144-0 · Cited by 512
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Herold, S., Becker, C., Ridge, K. M., & Budinger, G. R. S. (2015) · European Respiratory Journal · doi:10.1183/09031936.00186214 · Cited by 503
Galani, I. E., Triantafyllia, V., Eleminiadou, E.-E., Koltsida, O., Stavropoulos, A., Manioudaki, M., Thanos, D., Doyle, S. E., Kotenko, S. V., Thanopoulou, K., et al. (2017) · Immunity · doi:10.1016/j.immuni.2017.04.025 · Cited by 477
Metadata
- Authors
- Brandes, M., Klauschen, F., Kuchen, S., & Germain, R. N.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2013-07
- Volume
- 154
- Issue
- 1
- Pages
- 197-212
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W1975857445
- Cited by
- 381
- References
- 67
- FWCI
- 21.40
- Type
- journal article
- Language
- en
- Open access
- bronze
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