The DOI matches its Crossref record; 110 of the 110 references it cites were found in a registry or an index.
Circulating MicroRNAs as Biomarkers for Sepsis
Open accessAbstract
Sepsis represents a major cause of lethality during intensive care unit (ICU) treatment. Pharmacological treatment strategies for sepsis are still limited and mainly based on the early initiation of antibiotic and supportive treatment. In this context, numerous clinical and serum based markers have been evaluated for the diagnosis, the severity, and the etiology of sepsis. However until now, few of these factors could be translated into clinical use. MicroRNAs (miRNAs) do not encode for proteins but regulate gene expression by inhibiting the translation or transcription of their target mRNAs. Recently it was demonstrated that miRNAs are released into the circulation and that the spectrum of circulating miRNAs might be altered during various pathologic conditions, such as inflammation, infection, and sepsis. By using array- and single PCR-based methods, a variety of deregulated miRNAs, including miR-25, miR-133a, miR-146, miR-150, and miR-223, were described in the context of sepsis. Some of the miRNAs correlated with the disease stage, as well as patients’ short and long term prognosis. Here, we summarize the current findings on the role of circulating miRNAs in the diagnosis and staging of sepsis in critically ill patients. We compare data from patients with findings from animal models and, finally, highlight the challenges and drawbacks that currently prevent the use of circulating miRNAs as biomarkers in clinical routine.
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The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14
Lee, R. C., Feinbaum, R. L., & Ambros, V. (1993) · Cell · doi:10.1016/0092-8674(93)90529-y · Cited by 12,948
Early goal-directed therapy in the treatment of severe sepsis and septic shock
Rivers, E., Nguyen, B., Havstad, S., Ressler, J., Muzzin, A., Knoblich, B., Peterson, E., & Tomlanovich, M. (2001) · New England Journal of Medicine · doi:10.1056/nejmoa010307 · Cited by 10,743
Surviving Sepsis Campaign: International Guidelines for Management of Severe Sepsis and Septic Shock
Dellinger, R. P., Levy, M. M., Rhodes, A., Annane, D., Gerlach, H., Opal, S. M., Sevransky, J. E., Sprung, C. L., Douglas, I. S., Jaeschke, R., et al. (2013) · Critical Care Medicine · doi:10.1097/ccm.0b013e31827e83af · Cited by 9,694
Pattern Recognition Receptors and Inflammation
Takeuchi, O., & Akira, S. (2010) · Cell · doi:10.1016/j.cell.2010.01.022 · Cited by 8,895
Most mammalian mRNAs are conserved targets of microRNAs
Friedman, R. C., Farh, K. K.-H., Burge, C. B., & Bartel, D. P. (2009) · Genome Research · doi:10.1101/gr.082701.108 · Cited by 8,462
Circulating microRNAs as stable blood-based markers for cancer detection
Mitchell, P. S., Parkin, R. K., Kroh, E. M., Fritz, B. R., Wyman, S. K., Pogosova-Agadjanyan, E. L., Peterson, A., Noteboom, J., O'Briant, K. C., Allen, A., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0804549105 · Cited by 7,969
The Surviving Sepsis Campaign Guidelines Committee including The Pediatric Subgroup*, Dellinger, R. P., Levy, M. M., Rhodes, A., Annane, D., Gerlach, H., Opal, S. M., Sevransky, J. E., Sprung, C. L., Douglas, I. S., et al. (2013) · Intensive Care Medicine · doi:10.1007/s00134-012-2769-8 · Cited by 7,290
Intravenous Fluids and Acute Kidney Injury
Ding, X., Cheng, Z., & Qian, Q. (2017) · Blood Purification · doi:10.1159/000452702 · Cited by 6,827
Biomarkers and surrogate endpoints: Preferred definitions and conceptual framework
(2001) · Clinical Pharmacology & Therapeutics · doi:10.1067/mcp.2001.113989 · Cited by 6,762
Acute-Phase Proteins and Other Systemic Responses to Inflammation
Gabay, C., & Kushner, I. (1999) · New England Journal of Medicine · doi:10.1056/nejm199902113400607 · Cited by 6,734
Cited by
Liver — guardian, modifier and target of sepsis
Strnad, P., Tacke, F., Koch, A., & Trautwein, C. (2017) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/nrgastro.2016.168 · Cited by 692
Self-citationDenning, N.-L., Aziz, M., Gurien, S. D., & Wang, P. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.02536 · Cited by 623
Current understanding of osteoarthritis pathogenesis and relevant new approaches
Tong, L., Yu, H., Huang, X., Shen, J., Xiao, G., Chen, L., Wang, H., Xing, L., & Chen, D. (2022) · Bone Research · doi:10.1038/s41413-022-00226-9 · Cited by 437
Ljungström, L., Pernestig, A.-K., Jacobsson, G., Andersson, R., Usener, B., & Tilevik, D. (2017) · PLOS ONE · doi:10.1371/journal.pone.0181704 · Cited by 219
Opportunities for microRNAs in the crowded field of cardiovascular biomarkers
Halushka, P. V., Goodwin, A. J., & Halushka, M. K. (2019) · Annual Review of Pathology: Mechanisms of Disease · doi:10.1146/annurev-pathmechdis-012418-012827 · Cited by 84
Metadata
- Authors
- Benz, F., Roy, S., Trautwein, C., Roderburg, C., & Luedde, T.
- Venue
- International Journal of Molecular Sciences
- Publisher
- MDPI AG
- Published
- 2016-01-09
- Volume
- 17
- Issue
- 1
- Pages
- 78
- ISSN
- 1422-0067 (ISSN-L)
- OpenAlex
- W2228061813
- Cited by
- 257
- References
- 110
- FWCI
- 17.45
- Type
- journal article
- Language
- en
- Open access
- gold
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- Benz, F., Roy, S., Trautwein, C., Roderburg, C., & Luedde, T. (2016). Circulating MicroRNAs as Biomarkers for Sepsis. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms17010078
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