1.Research progress on gut microbiome metabolites and depressive disorders
HE Jingkai ; HU Jieqiong ; ZHANG Jiale ; JI Yunxin
Journal of Preventive Medicine 2025;37(6):583-587
Depressive disorders are common mental illnesses characterized by significant and persistent low mood, with features such as high prevalence, high disability rate, and high suicide rate. The microbiota-gut-brain axis may be one of the potential mechanisms underlying depressive disorders. Gut microbiota metabolites, as important mediators of MGBA signaling, play roles in depressive disorders through multiple pathways. These include short-chain fatty acids, which can regulate the transmission of the vagus nerve, inflammatory responses, and 5-hydroxytryptamine synthesis; secondary bile acids, which can activate farnesoid X receptor and Takeda G protein-compled receptor 5; and choline, which can regulate DNA methylation and trimethylamine N-oxide production. This article reviews the literature on the potential mechanisms of action of gut microbiota metabolites, such as short-chain fatty acids, secondary bile acids, and choline, in depressive disorders. The literature was retrieved from CNKI, PubMed, and Web of Science databases from 2010 to 2025. It aims to provide a theoretical basis for the prevention and treatment of depressive disorders.
2.Research on Cost Control and Rationalization Application Supervision of Medical Equipment Consumables Based on Analytic Hierarchy Process.
Weiwei SHI ; Ruiyao JIANG ; Yunxin ZHENG ; Zhiyong JI ; Bin LI
Chinese Journal of Medical Instrumentation 2023;47(6):702-705
OBJECTIVE:
To analyze the medical equipment operation data of 44 clinical departments in the hospital from three aspects: materials and consumables, operation and maintenance depreciation, and operation management.
METHODS:
To formulate the evaluation standards and scoring criteria for the operation indicators, the lowest score is 0 points, and the highest score is 5 points. Based on the operation indicators of medical equipment, establish a hierarchical structure model, determine the criterion layer and sub-criteria layer, construct a judgment matrix, normalize it, and calculate the weight coefficient.
RESULTS:
Count equipment operation data in 2021 and 2022. Score according to the assessment standards, assign weights through the analytic hierarchy process, calculate the total score and sort, and making a special analysis on the top 10 departments and departments with a score below 4 points, and formulate a rectification plan.
CONCLUSIONS
The establishment of index assessment standards and the weight distribution of AHP can effectively enhance the control of equipment operating costs.
Analytic Hierarchy Process
;
Rationalization
;
Surgical Equipment
;
Reference Standards
;
Cost Control


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