ObjectiveTo reveal the mechanism of Zuogui Jiangtang Jieyu prescription against damage to hippocampal synaptic microenvironment via suppressing glutamate receptor 2 （GluR2）/Parkin signal-mediated mitophagy in rats with diabetes-related depression （DD）. MethodsEighty male SD rats underwent adaptive feeding for 5 days before the study. Ten rats were randomly assigned to the normal group. The model of DD rats was established with the rest by 2-week high-fat diet + streptozotocin （STZ） tail intravenous injection + 28 days of chronic unpredictable mild stress （CUMS） combined with isolation. The rats were randomly divided into a normal group， a model group， a GluR2 blocker group （5 μg·kg^-1）， a GluR2 agonist group （10 μg·kg^-1）， a metformin + fluoxetine group （0.18 g·kg^-1 metformin + 1.8 mg·kg^-1 fluoxetine）， and high- and low-dose Zuogui Jiangtang Jieyu prescription groups （20.52 and 10.26 g·kg^-1， respectively）. The rats in the GluR2 blocker group and the GluR2 agonist group were continuously injected with CNQX and Cl-HIBO in the dentate gyrus of the hippocampus once a week starting from stress modeling， respectively， while the metformin + fluoxetine group and the high- and low-dose Zuogui Jiangtang Jieyu prescription groups were continuously given intragastric administration for 28 d at the same time of stress modeling. Depression-like behavior was evaluated by open field and forced swimming experiments. The levels of serum insulin and adenosine triphosphate （ATP） in hippocampus were detected by biochemical analysis. The levels of 5-hydroxytryptamine （5-HT） and dopamine （DA） in hippocampus were detected by enzyme-linked immunosorbent assay （ELISA）. The autophagosomes of hippocampal neurons were observed by transmission electron microscopy. The morphology and structure of dendrites and spines of hippocampal neurons were evaluated by Golgi staining. Western blot detected the expression levels of GluR2 and Parkin proteins in hippocampus. The expression levels of GluR2， Parkin， regulating synaptic membrane exocytosis protein 3 （RIMS3）， and postsynaptic density protein 95 （PSD95） in the dentate gyrus of the hippocampus were detected by immunofluorescence. ResultsCompared with the normal group， the model group exhibited reduced total activity distance in the open field and increased immobility time in forced swimming （P<0.01）， lowered levels of serum insulin and ATP， 5-HT， and DA in hippocampus （P<0.01）， increased autophagosomes of hippocampal neurons， significantly damaged morphology and structure of dendrites and spines of hippocampal neurons， decreased expression levels of GluR2， RIMS3， and PSD95 in hippocampus， and an increased Parkin expression level （P<0.05， P<0.01）. Compared with the model group， the GluR2 blocker group and the GluR2 agonist group showed aggravation and alleviation of the above abnormal changes， respectively （P<0.05， P<0.01）. The above depression-like behavior was significantly improved in the high- and low-dose Zuogui Jiangtang Jieyu prescription groups to different degrees. Specifically， the two groups saw elevated levels of serum insulin and ATP， 5-HT， and DA in hippocampus （P<0.05， P<0.01）， restrained increase in autophagosomes and damage to morphology and structure of dendrites and spines of hippocampal neurons， up-regulated protein expression levels of GluR2， RIMS3， and PSD95， and down-regulated Parkin expression level （P<0.05， P<0.01）. ConclusionZuogui Jiangtong Jieyu prescription can ameliorate the mitophagy-mediated damage to hippocampal synaptic microenvironment in DD rats， the mechanism of which might be related to the regulation of GluR2/Parkin signaling pathway.

To explore the effects of different exercise prescriptions on glycemic metabolism in East Asian patients with type 2 diabetes mellitus (T2DM) and to compare the differences in the impact of population characteristics and exercise components on glycemic metabolism.

To investigate the correlation between vitamin D nutritional status and insulin resistance in pubertal adolescents.

With the rapid advancement of artificial intelligence technology, chatbots have shown great potential in the healthcare sector. From personalized health advice to chronic disease management and psychological support, chatbots have demonstrated significant advantages in improving the efficiency and quality of healthcare services. As the scope of their applications expands, the relationship between technological complexity and practical application scenarios has become increasingly intertwined, necessitating a more comprehensive evaluation of both aspects. This paper, from the perspective of he althcare applications, systematically reviews the technological pathways and development of chatbots in the medical field, providing an in-depth analysis of their performance across various medical scenarios. It thoroughly examines the advantages and limitations of chatbots, aiming to offer theoretical support for future research and propose feasible recommendations for the broader adoption of chatbot technologies in healthcare.

OBJECTIVE To investigate a method for dynamic monitoring of drug consumption （DMDC） based on statistical process control （SPC）， aiming to improve the macro-supervisory capacity in the process of drug utilization. METHODS The lists of key monitoring drug varieties in our hospital were established based on drug cost and relevant national documents. Monthly consumption data of key monitoring drug varieties in the entire hospital， outpatient pharmacy and inpatient pharmacy were taken as monitoring objects，and the DMDC model was established using SPC’s X control chart， moving range control chart， and exponentially weighted moving-average control chart， monitoring from three dimensions： single-month consumption， range variation， and consumption trend. Rosuvastatin， metoprolol and meropenem were taken as examples to demonstrate the monitoring capabilities of the DMDC model. RESULTS Lists of key monitoring drug varieties were established for entire hospital， outpatient pharmacy and inpatient pharmacy， containing 203， 167 and 200 varieties， respectively. After excluding drug varieties that could not be modeled and for which modeling failed， 179， 116 and 172 DMDC models were successfully established for these three drug consumption areas， respectively. During the first four months of 2024， these three groups of model separately warned 54， 32 and 62 drug varieties. The DMDC model successfully monitored the monthly consumption of drugs，such as rosuvastatin throughout the hospital， metoprolol in outpatient pharmacy， and meropenem in inpatient pharmacy. Compared with the previously used floating rate ranking method in our hospital， the application of the DMDC model significantly improved the scope and depth of drug monitoring， with the monitored drug varieties greatly expanded from about 50 to 179， and the monitoring dimensions increased from a single dimension to three. CONCLUSIONS The DMDC model based on SPC is effective and feasible，suitable for monitoring drug varieties with stable monthly consumption.

Background Bacteria are the most diverse and widely sourced microorganisms in the indoor air of subway stations, where pathogenic bacteria can spread through the air, leading to increased health risks. Objective To understand the status and distribution characteristics of indoor air bacterial pollution in subway stations and compartments in a city of Central South China, and to provide a scientific basis for formulating intervention measures to address indoor air bacteria pollution in subways. Methods Three subway stations and the compartments of trains parking there in a city in Central South China were selected according to passenger flow for synchronous air sampling and monitoring. Temperature, humidity, wind speed, carbon dioxide (CO₂), fine particulate matter (PM_2.5), and inhalable particulate matter (PM₁₀) were measured by direct reading method. In accordance with the requirements of Examination methods for public places-Part 3: Airborne microorganisms (GB/T 18204.3-2013), air samples were collected at a flow rate of 28.3 L·min⁻¹, and total bacterial count was estimated. Bacterial microbial species were identified with a mass spectrometer and pathogenic bacteria were distinguished from non-pathogenic bacteria according to the Catalogue of pathogenic microorganisms transmitted to human beings issued by National Health Commission. Kruskal-Wallis H test was used to compare the subway hygiene indicators in different regions and time periods, and Bonferroni test was used for pairwise comparison. Spearman correlation test was used to evaluate the correlation between CO₂ concentration and total bacterial count. Results The pass rates were 100.0% for airborne total bacteria count, PM_2.5, and PM₁₀ in the subway stations and train compartments, 94.4% for temperature and wind speed, 98.6% for CO₂, but 0% for humidity. The overall median (P₂₅, P₇₅) total bacteria count was 177 (138,262) CFU·m⁻³. Specifically, the total bacteria count was higher in station halls than in platforms, and higher during morning peak hours than during evening peak hours (P<0.05). A total of 874 strains and 82 species were identified by automatic microbial mass spectrometry. The results of identification were all over 9 points, and the predominant bacteria in the air were Micrococcus luteus (52.2%) and Staphylococcus hominis (9.8%). Three pathogens, Acinetobacter baumannii (0.3%), Corynebacterium striatum (0.1%), and Staphylococcus epidermidis bacilli (2.2%) were detected in 23 samples (2.6%), and the associated locations were mainly distributed in train compartments during evening rush hours. Conclusion The total bacteria count in indoor air varies by monitoring sites of subway stations and time periods, and there is a risk of opportunistic bacterial infection. Attention should be paid to cleaning and disinfection during peak passenger flow hours in all areas.

Objective To explore the effects and mechanism of Baishile Capsules regulating SHH/Gli1 signaling pathway on hippocampal neurogenesis of depression model rats.Methods Totally 32 SD rats were randomly divided into control group,model group,fluoxetine(5.4 mg/kg)group and Baishile Capsules(2.88 g/kg)group,with 8 rats in each group.A depression rat model was established using chronic unpredictable mild stress and single cage feeding method.The model was established and administered simultaneously for 21 consecutive days.Depression-like behavior in rats were evaluated by sucrose preference experiment and open field experiment,ELISA was used to detect brain derived neurotrophic factor(BDNF)contents in rat serum and hippocampal tissue,the number of BrdU,BrdU/DCX,BrdU/NeuN positive cells in dentate gyrus of the hippocampus was observed by immunofluorescence,immunofluorescence and Western blot were used to detect the fluorescence intensity and protein expression of SHH,Gli1,Smo,Ptch in hippocampal tissue.Results Compared with the control group,the degree of sucrose preference significantly decreased in the model group(P<0.01),the number of horizontal and vertical movements significantly decreased(P<0.01),the contents of BDNF in serum and hippocampal tissue significantly decreased(P<0.05),the number of BrdU,BrdU/DCX,BrdU/NeuN positive cells in dentate gyrus of the hippocampus significantly decreased(P<0.01),and the fluorescence intensity and protein expression of SHH,Gli1,Smo,Ptch in hippocampal tissue significantly decreased(P<0.01,P<0.05).Compared with the model group,the degree of sucrose preference and the number of horizontal and vertical movements in fluoxetine group and Baishile Capsule group increased significantly(P<0.05,P<0.01),the contents of BDNF in serum and hippocampal tissue significantly increased(P<0.05,P<0.01),and the number of BrdU,BrdU/DCX,BrdU/NeuN positive cells in dentate gyrus of the hippocampus significantly increased(P<0.01,P<0.05),the fluorescence intensity and protein expressions of SHH,Gli1,Smo,Ptch in hippocampal tissue significantly increased(P<0.01,P<0.05).Conclusion Baishile Capsule can promote the hippocampus neurogenesis in depression model rats by regulating SHH/Gli1 signaling pathway,and play an antidepressant role.

Sishen Pills is a classic prescription for the treatment of spleen and kidney diarrhea,which has the effect of warming the kidney and the spleen,astringent intestine and antidiarrheal.In modern clinical application,the modified prescriptions based on Sishen Pills,combined with other treatments of TCM and integrated traditional Chinese and Western medicine are often used to treat ulcerative colitis with spleen-kidney yang deficiency syndrome,and the curative effect is remarkable.Experimental pharmacological studies have shown that Sishen Pills may achieve the purpose of ulcerative colitis by regulating the expression of related signaling pathway proteins,regulating inflammatory factors,inhibiting inflammatory response,regulating autophagy,regulating intestinal flora,improving intestinal mucosal permeability,repairing intestinal mucosal barrier,regulating cellular energy metabolism,anti-oxidative stress,regulating cellular immune function,etc.In this article,the research status of Sishen Pills in the treatment of ulcerative colitis was sorted out and summarized,in order to provide reference for further study of its mechanism and clinical application.

OBJECTIVE To create a highly effective algorithm for automatically generating easily confused drug catalogs （ECDC）， as well as to develop a management system for ECDC based on this algorithm， in order to improve the management efficiency of ECDC. METHODS This study， based on Levenshtein distance algorithm， delved deeply into the automatic identification mechanism of easily confused drugs and the screening method for determining similarity thresholds， ultimately leading to the development of an algorithm for automatically generating ECDC. Besides a management system was designed and developed， using SQL Server 2008 R2 Express as the data storage platform and Visual Basic.NET as the programming language. RESULTS The similarity threshold δ played a crucial role in the algorithm for automatically generating ECDC. As the value of δ gradually increased， the total count of easily confused drugs decreased gradually， while the count of drug groups exhibited a pattern of initially increasing and then decreasing. Practically， ECDC could be created using either the generic or varietal names of drugs， with corresponding similarity thresholds of 0.75 and 0.83. Furthermore， ECDC management system had significantly reduced the time required to establish a catalog from about one week to less than one hour， resulting in a substantial enhancement in work efficiency. CONCLUSIONS The algorithm used to automatically generate ECDC is highly efficient and rapid， offering robust technical assistance for the management of easily confused drugs. Implementing the ECDC system can greatly reduce the time cost related to building and maintaining the catalogs， thus significantly improving the efficiency of managing ECDC.

Skeletal maturity can reflect an individual's developmental status and predict their future growth potential, provide clinicians with valuable diagnostic information. In recent years, significant progress has been made in imaging techniques for assessing skeletal maturity. This article aims to review the application status and research progress of X-ray, MRI and ultrasound in assessing skeletal maturity in adolescents and children, with a view of providing clinical reference.