2022
DOI: 10.1155/2022/5700853
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Adapted Murine Sepsis Score: Improving the Research in Experimental Sepsis Mouse Model

Abstract: The Murine Sepsis Score (MSS) is used to assess the severity of sepsis in rats and mice based on observational characteristics. The quantitative variables of glycemia, body weight, and temperature are predictors of severity in experimental models of sepsis. Therefore, our study sought to adapt the MSS with the same variables to indicate earlier the severity of the disease in murine models of the disease. Sepsis mice presented hypoglycemia, weight loss, and hypothermia. Therefore, these variables were included … Show more

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Cited by 6 publications
(2 citation statements)
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References 39 publications
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“…A similar result was observed when using a fluorescent virus to track the spinal tract’s downward projection: axons were present closer to the scar boundary in the loose group than in the vehicle group ( Figures 3C–E ). The weight of the mice was recorded as an index to evaluate the overall health status ( Sulzbacher et al, 2022 ). We found that the body weight of the PLX3397 group was slightly higher than that of the wild type after surgery ( Figure 3F and Supplementary Figure S1D ).…”
Section: Resultsmentioning
confidence: 99%
“…A similar result was observed when using a fluorescent virus to track the spinal tract’s downward projection: axons were present closer to the scar boundary in the loose group than in the vehicle group ( Figures 3C–E ). The weight of the mice was recorded as an index to evaluate the overall health status ( Sulzbacher et al, 2022 ). We found that the body weight of the PLX3397 group was slightly higher than that of the wild type after surgery ( Figure 3F and Supplementary Figure S1D ).…”
Section: Resultsmentioning
confidence: 99%
“…4B). The murine sepsis score (MSS) is used to assess the severity of sepsis in mice based on observational characteristics 20 . The results showed that murine sepsis symptoms alleviated in the RIPK3 −/− mice (Fig.…”
Section: Ripk3 Regulated Htnv Replication Through Jak-stat Pathwaysmentioning
confidence: 99%