A sensitive scoring system for the longitudinal clinical evaluation and prediction of lethal disease outcomes in newborn mice. View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Beate Fehlhaber, Anna S Heinemann, Kathrin Rübensam, Maike Willers, Lena Völlger, Sandra Pfeifer, Maren von Köckritz-Blickwede, Dorothee Viemann

ABSTRACT

Neonatal animal models are increasingly employed in order to unravel age-specific disease mechanisms. Appropriate tools objectifying the clinical condition of murine neonates are lacking. In this study, we tested a scoring system specifically designed for newborn mice that relies on clinical observation and examination. Both, in a neonatal sepsis model and an endotoxic shock model, the scoring results strongly correlated with disease-induced death rates. Full as well as observation-restricted scoring, reliably predicted fatality and the remaining time until death. Clinical scores even proved as more sensitive biomarker than 6 traditionally used plasma cytokine levels in detecting sepsis at an early disease stage. In conclusion, we propose a simple scoring system that detects health impairments of newborn mice in a non-invasive longitudinal and highly sensitive manner. Its usage will help to meet animal welfare requirements and might improve the understanding of neonatal disease mechanisms. More... »

PAGES

5919

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-019-42414-4

DOI

http://dx.doi.org/10.1038/s41598-019-42414-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1113378368

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30976090


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