ObjectiveTo investigate the effects of jatrorrhizine on endogenous metabolites and metabolic pathways in the mouse model of ulcerative colitis. MethodsThirty male C57BL/6J mice were randomly divided into the normal group， the model group， the low-dose and high-dose jatrorrhizine groups （0.04， 0.16 g·kg^-1）， and the mesalazine group （0.52 g·kg^-1）The mouse model of ulcerative colitis was established with 3% dextran sulfate sodium （DSS） and treated with different doses of jatrorrhizine by gavage. The changes in body weight， colon length， disease activity index （DAI）， and colonic histopathology were analyzed to evaluate the therapeutic effects of jatrorrhizine. UPLC-Q-TOF/MS was employed to determine the serum and fecal levels of metabolites in mice. Metabolomics methods were used to screen the differential metabolites， on the basis of which the potential therapeutic mechanism of jatrorrhizine on DSS-induced ulcerative colitis in mice was investigated. ResultsAfter intervention with jatrorrhizine， the model mice showed significantly decreased DAI（P<0.05，P<0.01）， recovered colon length，（P<0.05，P<0.01） and alleviated histopathology of the colon. The metabolomics study screened out 13 differential metabolites in the serum and 8 differential metabolites in the feces. The pathway enrichment analysis predicted three potential metabolic pathways： Biosynthesis of unsaturated fatty acids， phenylalanine， tyrosine and tryptophan biosynthesis， and phenylalanine metabolism. ConclusionJatrorrhizine may treat ulcerative colitis by regulating the biosynthesis and metabolism of amino acids and the synthesis of unsaturated fatty acids.

In the era of evidence-based medicine， the progress of medical science and technology has enriched medical diagnostic tools and treatment methods， but it has also led to the loss of medical warmth and the alienation of the doctor-patient relationships. William Osler emphasized that while medical technology advances， attention should also be paid to the practice of narrative medicine and the development of physician’s narrative literacy. The view of the physician he advocated reminds us that the core of medicine still lies in the narrative connection between doctors and patients， as well as a deep understanding of human nature. By exploring the relationship between Osler’s view of the physician and narrative medicine as well as physician’s narrative literacy， this paper analyzed the methods of cultivating physician’s narrative literacy， providing references for modern medical education and practice， and assisting in the harmony and unity of science and technology and humanity.

AIM:To investigating the predictive value of serum delta-like ligand 4(DLL4), complement C1q/tumor necrosis factor-related protein 5(CTRP5)levels for the severity of diabetic retinopathy(DR)and visual disability.METHODS:Patients with DR admitted to Tangshan Central Hospital between January 2022 and January 2024 were enrolled. Based on disease severity, patients were divided into a proliferative DR group and a non-proliferative DR group. After one year of follow-up, patients were further categorized into a vision disability group and a non-visual disability group based on visual impairment status. Enzyme-linked immunosorbent assay(ELISA)was used to detect serum levels of DLL4 and CTRP5. The data and serum levels of DLL4 and CTRP5 were compared among patients with different medical conditions and visual disabilities. Pearson method was used to explore the correlation between serum levels of DLL4, CTRP5 and glucose and lipid metabolism indicators. Multivariate Logistic regression was performed to explore the influencing factors of visual disability in DR Receiver operating characteristic(ROC)curve was performed to explore the value of serum levels of DLL4 and CTRP5 in predicting visual disability in DR.RESULTS: This study included 245 DR patients.Ninety-five patients were in the proliferative DR group(mean age 51.61±3.44 y, 51 men and 44 women), and 150 patients were in the non-proliferative DR group(mean age 51.22±3.11 y, 86 men and 64 women). The visually disability group consisted of 39 participants(mean age 51.64±3.87 y; 21 men and 18 women), while the non-visually disability group consisted of 206 participants(mean age 51.32±3.12 y; 116 men and 90 women). Patients in the proliferative DR group exhibited longer DR duration, higher levels of FPG, TG, TC, LDL-C, and serum DLL4 and CTRP5, and lower HDL-C levels compared to the non-proliferative DR group(all P<0.05). The serum levels of DLL4 were positively correlated with FPG(P<0.001), while the serum levels of CTRP5 were prominently positively correlated with FPG, TG, TC, LDL-C, and prominently negatively correlated with HDL-C(all P<0.001). The visual disability group had longer duration of DR and higher serum levels of DLL4 and CTRP5 than the non-visual disability group(all P<0.001). The duration of DR and serum levels of DLL4 and CTRP5 were influencing factors for visual disability in DR patients(all P<0.001). The joint detection of serum levels of DLL4 and CTRP5 had a higher value in predicting visual disability in DR patients than the single indicator prediction(ZDLL4-joint=3.018, PDLL4-joint=0.003; ZCTRP5-joint=2.784, PCTRP5-joint=0.005). CONCLUSION: Serum levels of DLL4 and CTRP5 are elevated in DR patients, and are closely related to the disease condition. The joint detection of serum levels of DLL4 and CTRP5 has high value in predicting visual disability in DR patients.

Objective To explore the risk factors for mineral and bone disorder in maintenance hemodialysis patients, and to construct and validate a nomogram prediction model. Methods A total of 306 patients undergoing maintenance hemodialysis at Shanghai Eighth People’s Hospital from January 2021 to May 2025 were selected as study subjects and randomly divided into a training set (n＝214) and a validation set (n＝92) in a 7∶3 ratio. In the training set, patients were divided into a normal bone mineral metabolism group and an abnormal bone mineral metabolism group, and related factors were compared between the two groups. The multivariate logistic regression analysis was used to identify the influencing factors of mineral and bone disorder in maintenance hemodialysis patients in the training set, and a nomogram prediction model was constructed. ROC curves were drawn to evaluate the ability of the nomogram model for predicting mineral and bone disorder in these patients. Calibration curves and Hosmer-Lemeshow goodness-of-fit test were used to analyze the consistency of the predictive probability of nomogram model and actual probability of mineral and bone disorder in these patients. The decision curve was used to assess the clinical benefit using nomogram prediction model. Results Among the 306 hemodialysis patients, 254 patients had mineral and bone disorder, accounting for 83.01%. Among the 214 patients in the training set, 177 had mineral and bone disorder, accounting for 82.71%. In the training set, age, gender, body mass index (BMI), hypertension rate, dialysis age, blood urea nitrogen (BUN), hemoglobin (Hb), albumin (ALB), alkaline phosphatase (ALP), serum creatinine (SCr), uric acid (UA), estimated glomerular filtration rate (eGFR), and rate of taking phosphate binders were statistically significant different between the two groups (P＜0.05). The multivariate logistic regression analysis showed higher age, female, hypertension, longer dialysis duration, decreased eGFR, and not taking phosphate binders were identified as risk factors for mineral and bone disorder in maintenance hemodialysis patients (P＜0.01). The nomogram prediction model was constructed. The area under the ROC curve of the model for mineral and bone disorder in the training set and validation set was 0.895 (95%CI 0.850-0.941) and 0.881 (95%CI 0.830-0.932), respectively, with maximum Youden indice of 0.650 and 0.600, sensitivity of 0.856 and 0.849, and specificity of 0.794 and 0.751. The Hosmer-Lemeshow test showed the nomogram prediction model had good consistency in predictive probabilities with actual probabilities in training set and validation set. The decision curve showed the nomogram model could bring clinical net benefits when the threshold probabilities in the training set and validation set were less than 0.96 and 0.91. Conclusions The nomogram prediction model constructed based on six independent risk factors including age, gender, hypertension, dialysis duration, eGFR, and using phosphate binders or not, shows good discrimination and calibration, with good clinical predictive ability, which could provide guidance for the management of maintenance hemodialysis patients.

BACKGROUND:Type 2 diabetes mellitus is a secondary causative factor for osteoporosis.As highly heterogeneous innate immune cells,macrophages may be polarized in a hyperglycemic environment,which affects osteogenesis-angiogenesis coupling.This may be a research target for improving bone quality in patients with type 2 diabetic osteoporosis.OBJECTIVE:To explore the role of modulating macrophage M1/M2 polarization to influence osteogenesis-angiogenesis coupling in type 2 diabetic osteoporosis and to summarize the effects of commonly used anti-glucose and anti-osteoporosis drugs and bone biorepair materials on bone osteogenesis-angiogenesis coupling by regulating macrophage M1/M2 polarization.METHODS:The keywords of"macrophage polarization,type 2 diabetes,osteoporosis,osteogenesis-angiogenesis coupling"in Chinese and"macrophages,macrophage polarization,osteogenesis-angiogenesis coupling"in English were used to search for relevant literature in CNKI and PubMed,respectively.Seventy-nine pieces of literature were screened and analyzed.RESULTS AND CONCLUSION:(1)Type 2 diabetes mellitus causes the body to be in a hyperglycemic environment and increases the secretion of inflammatory-related factors in the body,which promotes macrophage polarization towards M1 and decreases the number of M2 macrophages.(2)In type 2 diabetes,promoting M2 macrophage polarization is beneficial for osteogenesis-angiogenesis coupling.(3)Some anti-glycemic drugs,active ingredients in traditional Chinese medicine and bone biorepair materials can improve type 2 diabetic osteoporosis by regulating macrophage M1/M2 polarization,reducing M1/M2 ratio,and promoting osteogenesis-angiogenesis coupling.

BACKGROUND:Type 2 diabetes mellitus is a secondary causative factor for osteoporosis.As highly heterogeneous innate immune cells,macrophages may be polarized in a hyperglycemic environment,which affects osteogenesis-angiogenesis coupling.This may be a research target for improving bone quality in patients with type 2 diabetic osteoporosis.OBJECTIVE:To explore the role of modulating macrophage M1/M2 polarization to influence osteogenesis-angiogenesis coupling in type 2 diabetic osteoporosis and to summarize the effects of commonly used anti-glucose and anti-osteoporosis drugs and bone biorepair materials on bone osteogenesis-angiogenesis coupling by regulating macrophage M1/M2 polarization.METHODS:The keywords of"macrophage polarization,type 2 diabetes,osteoporosis,osteogenesis-angiogenesis coupling"in Chinese and"macrophages,macrophage polarization,osteogenesis-angiogenesis coupling"in English were used to search for relevant literature in CNKI and PubMed,respectively.Seventy-nine pieces of literature were screened and analyzed.RESULTS AND CONCLUSION:(1)Type 2 diabetes mellitus causes the body to be in a hyperglycemic environment and increases the secretion of inflammatory-related factors in the body,which promotes macrophage polarization towards M1 and decreases the number of M2 macrophages.(2)In type 2 diabetes,promoting M2 macrophage polarization is beneficial for osteogenesis-angiogenesis coupling.(3)Some anti-glycemic drugs,active ingredients in traditional Chinese medicine and bone biorepair materials can improve type 2 diabetic osteoporosis by regulating macrophage M1/M2 polarization,reducing M1/M2 ratio,and promoting osteogenesis-angiogenesis coupling.

OBJECTIVE To evaluate the efficacy and safety of Hydromorphone hydrochloride extended-release tablets （HHERT） in the treatment of chronic cancer-related pain （CCRP） in real-world settings， and to explore the effectiveness and reasons for rotation patterns between HHERT and other opioid drugs （OOD）. METHODS Data were retrospectively collected from 142 CCRP patients receiving strong opioid therapy at Fujian Cancer Hospital from January to December 2025. Patients were divided into the continuous HHERT group and the drug rotation group based on medication status. The efficacy and incidence of adverse reactions were compared between the two groups. The drug rotation group was further subdivided into the OOD-HHERT group （rotated from OOD to HHERT） and the HHERT-OOD group （rotated from HHERT to OOD）. Dose conversion coefficients were compared with guideline recommendations， and pain relief status， rotation types and reasons for rotation were analyzed between the two subgroups. RESULTS In the 142 CCRP patients， 107 achieved pain relief， with an overall response rate of 75.35%. After 4 weeks of treatment， there was a statistically significant difference in efficacy between the continuous HHERT group and the drug rotation group （ P ＜0.05）. A total of 110 adverse reactions occurred in 86 patients， with an overall adverse reactions of 77.46%， there were no statistically significant differences between the continuos HHERT group and the drug rotation group in the incidence of drug adverse reactions （ P ＞0.05）. 99 experienced opioid rotation， with an overall rotation rate of 69.72%. The pain relief rates after rotation were 74.36% in the HHERT-OOD group and 73.33% in the OOD-HHERT group， indicating comparable efficacy （ P ＞0.05）. In 31 patients （31.31%）， the dose conversion coefficients did not conform to guideline recommendations. There was a significant difference in the distribution of rotation types between the two groups （ P ＜0.05）： the HHERT-OOD group was dominated by route of administration changes， while the OOD-HHERT group was dominated by unchanged route of administration. The proportion of rotations due to restricted route of administration and drug supply shortage was significantly higher in the HHERT-OOD group than that in the OOD-HHERT group （ P ＜0.05）； the proportion of rotations due to inadequate analgesic effect was significantly higher in the OOD-HHERT group than that in the HHERT-OOD group （ P ＜0.05）. CONCLUSIONS In real-world settings， both HHERT and opioid rotation strategies demonstrate favorable analgesic effects in the treatment of CCRP. Rotation patterns are primarily driven by practical factors such as inadequate analgesic effect and restricted route of administration. It is necessary to standardize dose conversion standards and indications for opioid rotation to improve individualized cancer pain management.

Objective To explore the role and potential mechanism of Astragali Radix-derived extracelluar vesicles(EVs)-like particles(AR-EVLP)in diabetic wound healing,providing a novel therapeutic drug mode and theoretical basis for traditional Chinese medicine in treating diabetic skin ulcers.Methods AR-EVLP was extracted using ultracentrifugation.Untargeted metabolomics was used to analyze the potential active components of AR-EVLP,and the main active substances in AR-EVLP were identified by comparison with the Herb database.The targets of the active components were obtained through the Swiss Target Prediction database and the TCMSP database.Targets related to diabetic wound healing were obtained from the GeneCards database.Key targets were identified by intersecting drug targets and disease targets.GO functional annotation and KEGG pathway enrichment analysis were performed using the DAVID database.Based on the pathway enrichment results,a"drug components-targets-pathways"diagram was constructed to identify core targets.Molecular docking and visualization were performed using Autodock and PyMOL software.Results Formononetin was identified as the main active component in AR-EVLP,with 66 key targets related to diabetes and wound healing,including 15 key node proteins such as SRC,CASP3 and JUN.GO functional enrichment analysis suggested that formononetin can regulate biological processes such as protein phosphorylation and gene expression.KEGG pathway enrichment analysis indicated potential involvement in multiple signaling pathways,including VEGF and TNF.Seven targets,including PIK3CA,JUN and MAPK14,were identified as core targets for formononetin.Molecular docking showed that formononetin had the strongest binding affinity with MAPK14.Conclusion AR-EVLP may be a potential effective drug mode for the treatment of diabetic wound healing.

Objective:To conduct a comprehensive global review of research on toxic leadership behavior among nursing managers and to analyze the current research status.Methods:Literature related to toxic leadership behavior among nursing managers was retrieved from PubMed, Web of Science, Cochrane Library, China National Knowledge Infrastructure, Wanfang Database, VIP Chinese Science and Technology Journal Database, and China Biomedical Literature Database. The search period extended from the inception of each database to February 15, 2025. The included literature was then organized, analyzed, and summarized.Results:A total of 28 studies were included. There were 23 studies reported the occurrence of toxic leadership behavior among nursing managers, the incidence of toxic leadership behavior was almost at a moderately low level. There were 8 studies reported the influencing factors of toxic leadership behavior, its influencing factors encompassed three primary aspects: the organizational level, the personal characteristics of nursing managers, and characteristics of the nursing staff group. Assessment tools of toxic leadership behavior included the Toxic Leadership Behaviors of Nurse Managers, the Abuse Management Questionnaire, etc. The adverse consequences included increased nurse turnover intention, decreased nursing quality, and reduced organizational trust, etc. Interventions were planned and implemented from three perspectives: the hospital managers, nursing managers, and the nurses.Conclusions:The factors influencing toxic leadership behavior among nursing managers and its adverse consequences require further exploration. Therefore, more intervention studies are warranted to provide new insights and methods for preventing and reducing toxic leadership behavior.

Objective:To explore the changes in carcinoembryonic antigen(CEA)during the immune process of programmed death-1(PD-1)inhibitor Sintilimab in human epithelial growth factor receptor 2(HER2)negative advanced gastric cancer patients and its relationship with prognosis.Methods:HER2 negative late stage gastric cancer patients(88 cases)who were treated in North Anhui Coal Power Group General Hospital from May 2020 to April 2022 were selected as study subjects,all of whom received PD-1 inhibitor Sintilimab treatment;according to the prognosis,they were divided into death group(36 cases)and survival group(52 cases).Followed up was conducted every 6 months to collect tumor marker levels before and after treatment.Analyzed relationship between tumor markers(CEA,CA199,CA125)levels and clinical staging,lymph node metastasis and prognosis.Kaplan-Meier sur-vival curve was used to analyze survival time of patients with negative and positive tumor markers.Multivariate Cox regression model and stepwise regression analysis were used to identify risk factors affecting prognosis.Spearman was used for correlation analysis.Results:After two cycles of treatment,72 cases(81.82%)had disease control and 16 cases(18.18%)had progression.Compared with patients before treatment,positive rate of serum tumor markers in patients after treatment was significantly reduced(P<0.05).Positive rates of CEA and CA199 were significantly correlated with clinical staging(P<0.05).When predicting patient death,sensitivity of CEA level was the highest(48.57%),while CA125 had the highest specificity(95.62%)and the lowest sensitivity(25.71%).Kaplan-Meier sur-vival curve analysis showed that the survival time of patients with positive tumor markers were significantly shorter than that of negative patients(P<0.05).Clinical staging,serum CEA and CA199 levels were independent factors for predicting prognosis(P<0.05).Spear-man correlation analysis results showed that the multiple increases in CEA(r=-0.512,P=0.005)and CA199(r=-0.467,P=0.011)were negatively correlated with patient survival time.Conclusion:After treatment with PD-1 inhibitor Sintilimab,serum tumor markers levels in HER2 negative advanced gastric cancer patients have been significantly reduced on average.High serum levels of CEA,CA199 and CA125 can all predict poor prognosis,and clinical staging,serum CEA and CA199 levels are independent factors in pre-dicting prognosis.The higher the increase in CEA and CA199,the shorter the patient's survival time.