ObjectiveThis study aims to improve the management efficiency of zebrafish strains and zebrafish facilities and to transform the traditional management model that relies on manual labor. The goal is to promote a comprehensive transition from traditional manual operation to standardized, digitalized, automated, and refined management, thereby significantly improving management quality and work efficiency. MethodsThe research group independently developed the "Zebrafish Facility and Zebrafish Strain Automation Management System V1.0" (Software Copyright Registration No. 2021SR0236837), which comprehensively recorded all operational data of the zebrafish facilities and completed data on zebrafish strains. By combining in-depth mining of these data with management experience, management regulations were transformed into executable system instruction sets, and a full-process automated closed-loop management framework of "Monitoring–Analysis–Early Warning–Task Assignment–Execution–Recording" was established. ResultsThis management system has been operating stably for 5 years and has been successfully applied in 3 zebrafish facilities, cumulatively supporting 78 researchers and efficiently managing 1 108 plasmids and 1 123 zebrafish strains, among which 291 strains has been incorporated into zebrafish sperm bank management. A Likert scale survey of 28 core users covering 14 evaluation dimensions across 4 major categories showed average scores of 4.46–4.89, all far above the midpoint (3 points) of the scale, indicating that users gave high evaluations to all dimensions of the system. Meanwhile, the standard deviations of most dimensions were low (s ≤ 0.44), reflecting good consistency in user evaluations. ConclusionThis study integrates information technology, big data analysis, and modern management concepts to achieve a virtuous cycle of "data collection–analysis and execution–system optimization" in zebrafish facility management. It significantly improves management efficiency and refinement and promotes the development of management models toward automation.

Objective To investigate the effect of fenofibrate on glucolipid metabolism and insulin sensitivity in lipoprotein lipase heterozygous knockout ( LPL+/-) mice, and to explore its mechanism. Methods LPL+/- mice and wild type ( WT) C57 mice were selected and divided into 3 groups ( n=6 each group):LPL+/-( FB) group, LPL+/-(W)group,andWTgroup.MiceinLPL+/-(FB)groupweregavagedwithfenofibrate(50mg·kg-1·d-1)for8 weeks. Mice in LPL+/-( W) and WT groups were orally fed with the same volume water as that in LPL+/-( FB) group for 8 weeks. Body weight was observed. Plasma triglyceride ( TG ) and free fatty acid ( FFA ) were measured. Intraperitoneal glucose tolerance test in 3 groups of mice were performed. The glucose area under the curve ( AUCG) and homeostasis model assessment for insulin resistance index ( HOMA-IR) were calculated. Insulin-stimulated Ser473 Akt phosphorylation in liver and skeletal muscle was measured by Western blot. Reactive oxygen species ( ROS) levels in liver and skeletal muscle were determined by dihydroethidium staining method and superoxide dismutase ( SOD) and catalase ( CAT) mRNA expression levels were detected by real-time PCR. Results Compared with LPL+/-( W) mice, body weight of LPL+/-( FB) mice was lowered, plasma TG and FFA levels were decreased by about 46.0％and 76.5％respectively, and fasting insulin level and HOMA-IR were decreased while there were no significant differences in fasting glucose level and AUCG between two groups. Insulin-stimulated Ser473 Akt phosphorylation levels in liver and skeletal muscle of LPL+/-mice were enhanced by fenofibrate. ROS level in skeletal muscle of LPL+/-( FB) mice was lower than that in LPL+/-( W) mice while there was no significant difference in ROS of liver between two groups. Fenofibrate significantly increased SOD and CAT mRNA expressions in skeletal muscle of LPL+/-mice, but not in liver. Conclusion Fenofibrate reduces body weight, ameliorates lipid metabolism, and improves insulin sensitivity in LPL+/- mice, with reduced oxidative stress.