The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Animal models of sepsis and sepsis-induced kidney injury
Open accessAbstract
Sepsis is characterized by a severe inflammatory response to infection, and its complications, including acute kidney injury, can be fatal. Animal models that correctly mimic human disease are extremely valuable because they hasten the development of clinically useful therapeutics. Too often, however, animal models do not properly mimic human disease. In this Review, we outline a bedside-to-bench-to-bedside approach that has resulted in improved animal models for the study of sepsis - a complex disease for which preventive and therapeutic strategies are unfortunately lacking. We also highlight a few of the promising avenues for therapeutic advances and biomarkers for sepsis and sepsis-induced acute kidney injury. Finally, we review how the study of drug targets and biomarkers are affected by and in turn have influenced these evolving animal models.
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Coussens, L. M., & Werb, Z. (2002) · Nature · doi:10.1038/nature01322 · Cited by 15,111
Akira, S., & Takeda, K. (2004) · Nature reviews. Immunology · doi:10.1038/nri1391 · Cited by 8,312
The epidemiology of sepsis in the United States from 1979 through 2000
Martin, G. S., Mannino, D. M., Eaton, S., & Moss, M. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa022139 · Cited by 5,841
Recognition of microorganisms and activation of the immune response
Medzhitov, R. (2007) · Nature · doi:10.1038/nature06246 · Cited by 2,862
Anti-cachectin/TNF monoclonal antibodies prevent septic shock during lethal bacteraemia
Tracey, K. J., Fong, Y., Hesse, D. G., Manogue, K. R., Lee, A. T., Kuo, G. C., Lowry, S. F., & Cerami, A. (1987) · Nature · doi:10.1038/330662a0 · Cited by 2,448
Detection of circulating tumor necrosis factor after endotoxin administration
Michie, H. R., Manogue, K. R., Spriggs, D. R., Revhaug, A., O'Dwyer, S., Dinarello, C. A., Cerami, A., Wolff, S. M., & Wilmore, D. W. (1988) · New England Journal of Medicine · doi:10.1056/nejm198806093182301 · Cited by 1,677
Tian, J., Avalos, A. M., Mao, S.-Y., Chen, B., Senthil, K., Wu, H., Parroche, P., Drabic, S., Golenbock, D., Sirois, C., et al. (2007) · Nature Immunology · doi:10.1038/ni1457 · Cited by 1,372
Chakravarty, S., & Herkenham, M. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.4268-04.2005 · Cited by 396
Shock and Multiple-Organ Dysfunction after Self-Administration of Salmonella Endotoxin
da Silva, A. M. T., Kaulbach, H. C., Chuidian, F. S., Lambert, D. R., Suffredini, A. F., & Danner, R. L. (1993) · New England Journal of Medicine · doi:10.1056/nejm199305203282005 · Cited by 276
Cited by
PGC-1α promotes recovery after acute kidney injury during systemic inflammation in mice
Tran, M., Tam, D., Bardia, A., Bhasin, M., Rowe, G. C., Kher, A., Zsengeller, Z. K., Akhavan-Sharif, M. R., Khankin, E. V., Saintgeniez, M., et al. (2011) · Journal of Clinical Investigation · doi:10.1172/jci58662 · Cited by 499
Fink, M. P. (2014) · Virulence · doi:10.4161/viru.26083 · Cited by 391
Blood platelets and sepsis pathophysiology: A new therapeutic prospect in critical ill patients?
Dewitte, A., Lepreux, S., Villeneuve, J., Rigothier, C., Combe, C., Ouattara, A., & Ripoche, J. (2017) · Annals of Intensive Care · doi:10.1186/s13613-017-0337-7 · Cited by 194
Šestan, M., Marinović, S., Kavazović, I., Cekinović, Đ., Wueest, S., Turk Wensveen, T., Brizić, I., Jonjić, S., Konrad, D., Wensveen, F. M., et al. (2018) · Immunity · doi:10.1016/j.immuni.2018.05.005 · Cited by 189
The Effects of Critical Illness on Intestinal Glucose Sensing, Transporters, and Absorption*
Deane, A. M., Rayner, C. K., Keeshan, A., Cvijanovic, N., Marino, Z., Nguyen, N. Q., Chia, B., Summers, M. J., Sim, J. A., van Beek, T., et al. (2014) · Critical Care Medicine · doi:10.1097/ccm.0b013e318298a8af · Cited by 84
Metadata
- Authors
- Doi, K., Leelahavanichkul, A., Yuen, P. S. T., & Star, R. A.
- Venue
- Journal of Clinical Investigation
- Published
- 2009-10-01
- Volume
- 119
- Issue
- 10
- Pages
- 2868-2878
- ISSN
- 0021-9738 (ISSN-L)
- OpenAlex
- W1990817996
- Cited by
- 580
- References
- 12
- FWCI
- 13.98
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Doi, K., Leelahavanichkul, A., Yuen, P. S. T., & Star, R. A. (2009). Animal models of sepsis and sepsis-induced kidney injury. Journal of Clinical Investigation. https://doi.org/10.1172/jci39421
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
