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 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.

Background In the context of global climate change, heatwaves pose an increasing threat to human health. Emergency ambulance calls are an important outcome indicator of acute health response in populations during heatwave weather. However, studies on the association between emergency ambulance calls and heatwaves in China have primarily focused on the southern regions, and less attention is paid to the northern regions, which hinders a comprehensive assessment of acute health impact posed by extreme heat. Objective To quantify the association between heatwaves and emergency ambulance calls in Dezhou City, Shandong Province. Methods The data on daily records of emergency ambulance calls, meteorological factors, and air pollution from May to September of 2020 to 2022 in Dezhou City, Shandong Province were collected. Heatwaves were defined by combining thresholds at the 90th, 92.5th, 95th, and 97.5th percentiles (P₉₀, P_92.5, P₉₅, and P_97.5) of the year-round daily mean temperature and durations of ≥2, 3, or 4 consecutive days, respectively. A generalized additive model with a distributed lag nonlinear model was used to estimate the relative risk of emergency ambulance calls during heatwave days compared with non-heatwave days. Results During the study period, a total of 143393 emergency ambulance calls were analyzed, with 59.75% of individuals aged <65 years, 53.38% male, and 44.94% due to respiratory causes. Compared to non-heatwave periods, all 12 types of defined heatwaves were significantly associated with an increased risk of emergency ambulance calls. The heatwave effect intensified progressively with higher temperature thresholds and longer durations. The cumulative relative risk rose from 1.12 (95%CI: 1.07, 1.17) for the P₉₀_2d type to 1.26 (95%CI: 1.14, 1.40) for the P_97.5_4d type. No significant gender difference was observed in the association between heatwaves and emergency ambulance calls. Regarding age, older adults were more vulnerable, with a relative risk of 1.60 (95%CI: 1.42, 1.81) for the most severe heatwave type P_97.5_4d compared with non-heatwave periods. Among the different causes of calls, the association between respiratory diseases and heatwaves was the most pronounced, with the relative risk increasing from 1.22 (95%CI: 1.15, 1.29) for the mildest heatwave type P₉₀_2d to 1.72 (95%CI: 1.54, 1.93) for the most severe heatwave type P_97.5_4d. Conclusion In Dezhou City, Shandong Province, heatwaves are significantly associated with an increased risk of emergency ambulance calls. The effects of heatwaves on emergency ambulance calls vary by age and disease type, with the elderly and patients with respiratory diseases being more susceptible. These groups should take protective measures.

Colorectal cancer ranks third in global incidence and is the second leading cause of cancer-related mortality. Doxorubicin, an anthracycline chemotherapeutic drug, is integral to current cancer treatment protocols. However, toxicity and resistance to doxorubicin poses a significant challenge to effective therapy. Panobinostat has emerged as a critical agent in colorectal cancer treatment due to its potential to overcome doxorubicin resistance and enhance the efficacy of existing therapeutic protocols. This study aimed to evaluate the capability of panobinostat to surmount doxorubicin toxicity and resistance in colorectal cancer. Specifically, we assessed the efficacy of panobinostat in enhancing the therapeutic response to doxorubicin in colorectal cancer cells and explored the potential synergistic effects of their combined treatment. Our results demonstrate that the combination treatment significantly reduces cell viability and colony-forming ability in colorectal cancer cells compared to individual treatments. The combination induces significant apoptosis, as evidenced by increased levels of cleaved PARP and cleaved caspase-9, while also resulting in a greater reduction in p-Akt/p-GSK-3β/mTOR expression, along with substantial decreases in c-Myc and SREBP-1 levels, compared to monotherapies. Consistent with the in vitro experimental results, the combination treatment significantly inhibited tumor formation in colorectal cancer xenograft nude mice compared to the groups treated with either agent alone. In conclusion, our research suggests that the panobinostat effectively enhances the effect of doxorubicin and combination of two drugs significantly reduced colorectal cancer tumor growth by targeting the Akt/ GSK-3β/mTOR signaling pathway, indicating a synergistic therapeutic potential of these two drugs in colorectal cancer treatment.

Colorectal cancer ranks third in global incidence and is the second leading cause of cancer-related mortality. Doxorubicin, an anthracycline chemotherapeutic drug, is integral to current cancer treatment protocols. However, toxicity and resistance to doxorubicin poses a significant challenge to effective therapy. Panobinostat has emerged as a critical agent in colorectal cancer treatment due to its potential to overcome doxorubicin resistance and enhance the efficacy of existing therapeutic protocols. This study aimed to evaluate the capability of panobinostat to surmount doxorubicin toxicity and resistance in colorectal cancer. Specifically, we assessed the efficacy of panobinostat in enhancing the therapeutic response to doxorubicin in colorectal cancer cells and explored the potential synergistic effects of their combined treatment. Our results demonstrate that the combination treatment significantly reduces cell viability and colony-forming ability in colorectal cancer cells compared to individual treatments. The combination induces significant apoptosis, as evidenced by increased levels of cleaved PARP and cleaved caspase-9, while also resulting in a greater reduction in p-Akt/p-GSK-3β/mTOR expression, along with substantial decreases in c-Myc and SREBP-1 levels, compared to monotherapies. Consistent with the in vitro experimental results, the combination treatment significantly inhibited tumor formation in colorectal cancer xenograft nude mice compared to the groups treated with either agent alone. In conclusion, our research suggests that the panobinostat effectively enhances the effect of doxorubicin and combination of two drugs significantly reduced colorectal cancer tumor growth by targeting the Akt/ GSK-3β/mTOR signaling pathway, indicating a synergistic therapeutic potential of these two drugs in colorectal cancer treatment.