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Peer-reviewed veterinary case report

Optimized Mouse Model of Sepsis-Associated Encephalopathy: A Rational Standard Based on Modified SHIRPA Score and Neurobehaviors in Mice.

Journal:
CNS neuroscience & therapeutics
Year:
2025
Authors:
Xin, Yuewen et al.
Affiliation:
Department of Critical Care Medicine of Huashan Hospital · China
Species:
rodent

Abstract

BACKGROUND: Sepsis-associated encephalopathy (SAE), a severe neurological disorder, is marked by widespread brain dysfunction. At present, there is no universally accepted criterion for diagnosing SAE in animal models. This study proposes a standardized evaluation method for SAE in mice, addressing inconsistencies in current research. METHOD: Using a cecal ligation and puncture (CLP) model to induce sepsis, we assessed the physiological status of mice with a modified SHIRPA score to differentiate SAE from non-SAE, validating our findings through various behavioral tests and evaluations of neuroinflammation and neuronal damage. RESULTS: Our findings revealed that the conventional mild-moderate-severe categorization of SHIRPA was insufficient for distinguishing between SAE and non-SAE. To enhance differentiation, we classified mice based on the median modified SHIRPA score, validating this approach through behavioral tests including the Y-maze, three-chamber social test, and open field test. This method effectively identified neurological impairments in septic mice. Further validation involved assessing neuronal damage, neuroinflammation, the Morris water maze, and long-term potentiation (LTP) in the hippocampal CA1 region. Results indicated that mice in the up-Median group exhibited greater neuroinflammation, neuronal injury, and cognitive deficits compared to the down-Median group. CONCLUSIONS: This study establishes a reliable evaluation method for SAE in murine models, facilitating improved differentiation between SAE and non-SAE. Such advancements will enhance our understanding of the pathogenesis of SAE and guide more effective treatment strategies.

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Original publication: https://pubmed.ncbi.nlm.nih.gov/40202114/