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Get Free AccessSimultaneous assessment of excretory liver and kidney function is still an unmet need in experimental stress models as well as in critical care. The aim of the study was to characterize two polymethine-dyes potentially suitable for this purpose in vivo. Plasma disappearance rate and elimination measurements of simultaneously injected fluorescent dyes DY-780 (hepato-biliary elimination) and DY-654(renal elimination) were conducted using catheter techniques and intravital microscopy in animals subjected to different organ injuries, i.e. polymicrobial sepsis by peritoneal contamination and infection, ischemia-reperfusion-injury and glycerol-induced acute kidney-injury. DY-780 and DY-654 showed organ specific and determined elimination routes in both healthy and diseased animals. They can be measured simultaneously using near-infrared imaging and spectrophotometry. Plasma-disappearance rates of DY-780 and DY-654 are superior to conventional biomarkers in indicating hepatic or kidney dysfunction in different animal models. Greatest impact on liver function was found in animals with polymicrobial sepsis whereas glomerular damage due to glycerol-induced kidney-injury had strongest impact on DY-654 elimination. We therefore conclude that hepatic elimination and renal filtration can be assessed in rodents measuring plasma-disappearance rates of both dyes. Further, assessment of organ dysfunction by polymethine dyes correlates with, but outperforms conventional biomarkers regarding sensitivity and the option of spatial resolution if biophotonic strategies are applied. Polymethine-dye clearance thereby allows sensitive point-of-care assessment of both organ functions simultaneously.
Adrian T. Press, Marianne Butans, Tauqeer Haider, Christine Weber, Sophie Neugebauer, Michael Kiehntopf, Ulrich Sigmar Schubert, M. G. Clemens, Michael Bauer, Andreas Kortgen (2017). Fast simultaneous assessment of renal and liver function using polymethine dyes in animal models of chronic and acute organ injury. , 7(1), DOI: https://doi.org/10.1038/s41598-017-14987-5.
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Type
Article
Year
2017
Authors
10
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1038/s41598-017-14987-5
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