AIM:To investigate the effect of fibroblast growth factor 21(FGF21)on high glucose-induced oxidative stress in retinal pigment epithelial(RPE)cells and to clarify the underlying molecular mechanisms.METHODS:Single-cell sequencing data from the GEO database were analyzed to determine the expression profile of the FGF21 receptor FGFR1 in RPE cells. Human ARPE-19 cells were cultured and randomly assigned to control, high glucose(30 mmol/L), and high glucose+FGF21 analog treatment groups, with additional siFGFR1 and PI3K inhibitor groups. Cell viability in different treatment groups was assessed using CCK-8 assay, intracellular reactive oxygen species(ROS)levels were quantified using DCFH-DA fluorescent probing combined with immunofluorescence staining and flow cytometry. Transcriptome sequencing was performed on cells from the high glucose group and high glucose+FGF21 group to analyze the enrichment level of the PI3K/Akt signaling pathway. Western blotting was performed to detect phosphorylation levels of PI3K/Akt pathway components.RESULTS:Single-cell sequencing revealed specific expression of FGFR1 in RPE cells of retinal tissues from diabetic model mice. Under In vitro experiments, high glucose(30 mmol/L)exposure reduced ARPE-19 cell viability by 49.7% and increased ROS levels by approximately 2-fold. Whereas treatment with the FGF21 analog(60 ng/mL)restored cell viability and attenuated high glucose-induced ROS accumulation. Mechanistic studies demonstrated that FGFR1 knockdown inhibited the antioxidative stress of FGF21. Further validation of the molecular mechanism revealed that high glucose significantly suppressed the PI3K/Akt pathway activation(the levels of p-Akt and p-PI3K were decreased by 33.9% and 36.6%, respectively), while FGF21 effectively reversed this inhibitory effect and restored the expression of p-Akt and p-PI3K. Treatment with the PI3K inhibitor LY294002 inhibited the cytoprotective effect of FGF21 and significantly increased the ROS-positive cells, these findings confirm that PI3K/Akt signaling is indispensable downstream mechanism for FGF21 to exert its effects.CONCLUSION:FGF21 alleviates high glucose-induced oxidative stress and cellular injury in RPE cells by activating the PI3K/Akt signaling pathway through its receptor FGFR1.

As the core vehicle for preserving and transmitting traditional Chinese medicine（TCM） academic thought and clinical experience， the establishment of a robust quality evaluation system for TCM clinical case reports is a crucial component in the current standardization and modernization of TCM. Based on the practical experience of constructing the China Clinical Cases Library of Traditional Chinese Medicine by the China Association of Chinese Medicine， this study conducted a comprehensive analysis of critical challenges， including insufficient authenticity and unfocused evaluation criteria. It proposed a three-dimensional evaluation framework grounded in the structure-process-outcome logic， encompassing three dimensions of authenticity and standardization， characteristics and advantages， application and translational impact. This framework integrated 12 key evaluation indicators in a systematic manner. The model preserved the academic characteristics of TCM syndrome differentiation and treatment， while aligning with modern scientific research standards， achieving a balance between individualized TCM experience and standardized evaluation. Concurrently， this study provided theoretical foundations and methodological guidance for evaluating the quality of TCM clinical cases， contributing significantly to the inheritance of TCM knowledge， evidence-based practice， and the reform of talent evaluation mechanisms.

OBJECTIVE To understand the molecular epidemiological characteristics,antimicrobial sensitivity and resistance mechanisms of Clostridioides difficile in Xi'an region,and provide data support for the prevention and control of C.difficile infection and the rational clinical use of antibiotics.METHODS A total of 87 strains of C.difficile,which were successfully isolated from stool samples collected from 6 hospitals from Oct.2018 to Dec.2022,were tested for virulence genes,population structure and genetic diversity were detected by Multilocus sequence typing(MLST)and Ribotyping(RT)methods,the drug sensitivity was detected by Etest,additionally,amino acid variations in the quinolone resistance-determining regions GyrA and GyrB were detected.RESULTS There were 41 strains(62.12％)with the genotype A+B+CDT—,23 strains(34.85％)with the genotype A-B+CDT—,and 2 strains(3.03％)with the genotype A+B+CDT+.MLST was divided into 25 ST types,and the main types were ST3,ST42 and ST39.There were 37 RT types,mainly were RT012,RT106 and RT001.All strains were sensitive to vancomycin and metronidazole,and the resistance rates to ciprofloxacin,levofloxacin and moxifloxacin were 90.80％,28.73％and 21.84％,respectively.GyrA contains two amino acid variations at Thr82-Ile and Asp205-Glu,and GyrB contains 6 amino acid variations.CONCLUSIONS The predominant toxin-producing strain of C.difficile in Xi'an is of A+B+CDT-genotype and the primary molecular types are ST54/RT012,ST42/RT106,ST3/RT001 and ST37/RT017.No strains resistant to vancomycin or metronidazole are detected.Amino acid variations in GyrA or GyrB of C.difficile are associated with quinolone resistance.To ef-fectively prevent the outbreak of C.difficile infection,it is crucial to enhance molecular epidemiology studies and strengthen antimicrobial resistance surveillance efforts.

BACKGROUND:With aging,the regenerative capacity and differentiation function of bone marrow mesenchymal stem cells progressively decline,reducing bone tissue repair efficacy.Thus,identifying bone marrow mesenchymal stem cell subpopulations with enhanced osteogenic potential is of significant importance for advancing bone tissue engineering.OBJECTIVE:To evaluate the osteogenic differentiation potential differences between STRO-1 positive and negative bone marrow mesenchymal stem cells under osteogenic induction conditions.METHODS:SD rat bone marrow mesenchymal stem cells were isolated and cultured.The expression of CD29,CD45,CD90,and STRO-1 was identified via flow cytometry and immunofluorescence.Immunomagnetic cell sorting was used to separate STRO-1 positive and negative bone marrow mesenchymal stem cells.The cells of two groups were subjected to osteogenic induction for 7 and 14 days.qRT-PCR and western blotting were performed to analyze differences in osteogenesis-related gene expression(Collagen I,Runt-related transcription factor 2,osteoprotegerin,and osteocalcin)and protein levels.Alizarin red staining and alkaline phosphatase staining were used to observe calcium nodule formation.RESULTS AND CONCLUSION:Flow cytometry showed high expression levels of CD29 and CD90 and low expression of CD45,with a positive STRO-1 expression rate of 12.8％.Immunofluorescence results were consistent with those of flow cytometry.After magnetic cell sorting,STRO-1 positive cells demonstrated a higher colony formation rate than STRO-1 negative cells.On day 14,STRO-1 positive cells showed significantly higher osteogenic differentiation potential than on day 7,with significantly elevated osteogenesis-related marker levels compared to STRO-1 negative cells(P＜0.01).The findings indicate that STRO-1 positive bone marrow mesenchymal stem cells exhibit significant advantages in osteogenic potential,providing a theoretical basis for their selection as ideal seed cells in bone tissue engineering.In future applications,they may represent a promising therapeutic approach for bone defect repair.

OBJECTIVE To understand the molecular epidemiological characteristics,antimicrobial sensitivity and resistance mechanisms of Clostridioides difficile in Xi'an region,and provide data support for the prevention and control of C.difficile infection and the rational clinical use of antibiotics.METHODS A total of 87 strains of C.difficile,which were successfully isolated from stool samples collected from 6 hospitals from Oct.2018 to Dec.2022,were tested for virulence genes,population structure and genetic diversity were detected by Multilocus sequence typing(MLST)and Ribotyping(RT)methods,the drug sensitivity was detected by Etest,additionally,amino acid variations in the quinolone resistance-determining regions GyrA and GyrB were detected.RESULTS There were 41 strains(62.12％)with the genotype A+B+CDT—,23 strains(34.85％)with the genotype A-B+CDT—,and 2 strains(3.03％)with the genotype A+B+CDT+.MLST was divided into 25 ST types,and the main types were ST3,ST42 and ST39.There were 37 RT types,mainly were RT012,RT106 and RT001.All strains were sensitive to vancomycin and metronidazole,and the resistance rates to ciprofloxacin,levofloxacin and moxifloxacin were 90.80％,28.73％and 21.84％,respectively.GyrA contains two amino acid variations at Thr82-Ile and Asp205-Glu,and GyrB contains 6 amino acid variations.CONCLUSIONS The predominant toxin-producing strain of C.difficile in Xi'an is of A+B+CDT-genotype and the primary molecular types are ST54/RT012,ST42/RT106,ST3/RT001 and ST37/RT017.No strains resistant to vancomycin or metronidazole are detected.Amino acid variations in GyrA or GyrB of C.difficile are associated with quinolone resistance.To ef-fectively prevent the outbreak of C.difficile infection,it is crucial to enhance molecular epidemiology studies and strengthen antimicrobial resistance surveillance efforts.

Objective To analyze the medication rules of traditional Chinese medicine in treating breast cancer based on real-world data mining.Methods Inpatients with breast cancer who received traditional Chinese medicine treatment at the Affiliated Hospital of Chengdu University of Traditional Chinese Medicine from January 2017 to December 2021 were selected.Python 3.10 software was used to mine traditional Chinese medicine prescription data;SPSS 23.0 software was applied for descriptive analysis,and systematic cluster analysis was performed on high-frequency drugs.Results A total of 3026 consultation records of inpatients with breast cancer were collected.The main traditional Chinese medicine syndrome diagnosis of"predominantly liver depression and Qi stagnation"accounted for 60.94％of the total consultations.A total of 240 kinds of traditional Chinese medicine were used,with a cumulative frequency of 35 462 times.Among them,29 kinds of traditional Chinese medicine such as Danggui,Fuling,Baizhu,Chaihu had a cumulative usage frequency exceeding 300 times.Regarding the four natures of drugs,cold-natured(43.55％),warm-natured(30.05％),and neutral-natured(23.34％)drugs were predominant;In terms of five flavors,sweet(46.12％),bitter(30.91％),and pungent(20.02％)were the main ones.The most frequently used drugs were tonifying herbs(32.77％),followed by heat-clearing herbs(15.96％)and phlegm-resolving herbs(14.71％).Systematic cluster analysis yielded 7 groups of drug combinations.Conclusion In real-world clinical practice,traditional Chinese medicine for breast cancer mainly uses tonifying herbs,reflecting the traditional Chinese medicine principle of"strengthening healthy Qi and cultivating the root"in treating tumors.The four natures and five flavors of drugs follow syndrome differentiation and the combination of cold and heat.The clustered drug combinations have extensive therapeutic effects,covering various syndromes of breast cancer at different stages,which can provide a reference for clinical medication.

Objective:To analyze the influencing factors of China′s DRG payment system reform(DRG reform) and its hierarchical relationship, for references for the in-depth promotion of China′s medical insurance payment reform.Methods:Relevant literature on DRG reform in China from databases such as CNKI, Wanfang Database, Pubmed, etc, were obtained. Content analysis method was used to extract the influencing factors of DRG reform. The correlation between each influencing factor was determined through expert discussion. An interpretive structural model(ISM) was constructed to analyze the hierarchical relationship of factors influencing DRG reform.Results:After analysis, the influencing factors(12) of DRG reform in China were included such as medical level, hospital management, and medical staff′s cognition and behavior. Among them, the local situation was the deep-level factor affecting DRG reform, 9 factors such as data quality assurance and policy design/implementation were the middle-level factors, and patients′ interests/needs and disease grouping were the surface-level factors.Conclusions:There were many influencing factors on the reform of China′s DRG payment system. It was suggested that relevant management departments in various regions should focus on the actual situation of the locality, take data quality and policy design and implementation as the key points of reform, formulate a scientific and reasonable DRG grouping scheme, safeguard the interests of patients, so as to promote the deepening of DRG reform.

Prone position ventilation (PPV) has been widely used in the treatment strategy of patients with acute respiratory distress syndrome (ARDS). Patients undergoing PPV may develop facial edema and are at risk for pressure injuries due to prolonged prone positioning. In clinical practice, preventive measures such as repositioning, protective dressings, and pressure-relief cushions are commonly used to prevent pressure injuries. However, factors such as improper endotracheal tube placement, self-paid dressings, and delayed clearance of oral and nasal secretions have reduced the effectiveness of preventing facial pressure injuries. To address the above issues, a device for preventing pressure injuries on the faces of patients in the prone position was designed by healthcare workers in the nursing department of Dalian Friendship Hospital, and a National Utility Model Patent of China was obtained (ZL 2024 2 0340439.8). The device consists of a support plate and a circuit control system. The support plate is equipped with two support members. Support member 1 is directly fixed to the support plate, while support member 2 is connected to the support plate via a slide and a spiral rod, serving to support the patient's face and allowing for adjustment of the appropriate width according to the size of the patient's face. Inside the two support members, there are several telescopic rods, with the upper ends designed as spherical supports. The height and position of the telescopic components can be adjusted through a circuit control system, regularly changing the pressure distribution on the patient's face, thereby achieving the purpose of changing the pressure points on the face. The inner wall of support member 2 is equipped with a camera, allowing direct observation of the patient's facial condition through a monitor, avoiding compression of the eyes and nose, and promptly removing secretions from the mouth to keep the face clean, thereby reducing the risk of facial pressure-related injuries. The center of the two support members features a hollow slot, facilitating the placement of a tracheal tube. The circuit control system includes a random module, a time setting module, a control module, and a drive module. Parameters can be set as needed. When the shortest set time is reached, the random module and time setting module send instructions to the control module. Upon receiving the instructions from the time setting module and the random number from the random module, the control module transmits information to the drive module. The drive module, upon receiving the information, controls multiple telescopic rods to adjust their height and position, thereby changing the support points on the patient's face. The device features a simple structure and convenient operation, allowing for flexible adaptation to the patient's facial shape. It can be replaced with the patient's facial pressure area, providing an intuitive view of the patient's facial pressure situation. With automation and high safety, it helps reduce the risk of pressure-related injuries and lightens the workload of medical staff.
Humans ; Pressure Ulcer/prevention & control* ; Prone Position ; Equipment Design ; Facial Injuries/prevention & control* ; Respiration, Artificial/instrumentation* ; Respiratory Distress Syndrome/therapy*

Objective:Exploring the association rules of factors influencing high hospitalization costs for cancer patients, providing references for hospitals to optimize medical cost management measures.Methods:In the inpatient case information system of a tertiary general hospital, the medical record homepages of inpatients in the DRG groups of the oncology department in 2022 were obtained. The upper four scores of hospitalization costs was used as the threshold for patient grouping. Patients with hospitalization costs≥this threshold were the high-cost group, while other patients were control group; 12 factors, including age, gender, and admission condition, etc, were considered as potential influencing factors of high hospitalization costs. FP-Growth and Apriori algorithms were used to excavate the potential association rules between the influencing factors of high hospitalization costs. Logistic regression was used to analyze the independent influencing factors of high hospitalization costs.Results:A total of 5 512 hospitalized patients were included, including 1 378 patients in the high-cost group. Thirteen validated strong association rules for factors influencing high hospitalization costs were obtained, of which the rule antecedents included age (≥70 years), number of days in hospital (≥7 days), other diagnoses (≥5), surgery, planned readmission, use of antibiotics, admission (general/critical), living admission score (61~99), level of care (level 1/level 2), non-day ward, criticality during hospitalisation. Logistic regression results showed that all nine influencing factors except gender, use of antibiotics, and readmission plans were independent influences on high hospitalization costs ( P<0.05). Conclusions:The joint application of FP-Growth and Apriori algorithm could effectively explore the association rules of high hospitalization costs for oncology patients. The early warning information mainly included the number of hospitalization days, the number of other diagnoses, surgeries, and so on. It was suggested that medical institutions can reasonably control the high hospitalization costs through clinical pathway management, diagnosis and treatment process reengineering, admission risk assessment, and multidisciplinary collaborative diagnosis and treatment strategies.

Objective:To analyze the influencing factors of China′s DRG payment system reform(DRG reform) and its hierarchical relationship, for references for the in-depth promotion of China′s medical insurance payment reform.Methods:Relevant literature on DRG reform in China from databases such as CNKI, Wanfang Database, Pubmed, etc, were obtained. Content analysis method was used to extract the influencing factors of DRG reform. The correlation between each influencing factor was determined through expert discussion. An interpretive structural model(ISM) was constructed to analyze the hierarchical relationship of factors influencing DRG reform.Results:After analysis, the influencing factors(12) of DRG reform in China were included such as medical level, hospital management, and medical staff′s cognition and behavior. Among them, the local situation was the deep-level factor affecting DRG reform, 9 factors such as data quality assurance and policy design/implementation were the middle-level factors, and patients′ interests/needs and disease grouping were the surface-level factors.Conclusions:There were many influencing factors on the reform of China′s DRG payment system. It was suggested that relevant management departments in various regions should focus on the actual situation of the locality, take data quality and policy design and implementation as the key points of reform, formulate a scientific and reasonable DRG grouping scheme, safeguard the interests of patients, so as to promote the deepening of DRG reform.