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.

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.

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.

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.

Objective To investigate the effect of the rs3765467 polymorphism of glucagon-like peptide-1 receptor(GLP-1R)gene on the efficacy of Liraglutide(Lir)in patients with type 2 diabetes mellitus(T2DM)and metabolic associated fatty liver disease(MAFLD).Methods A total of 281 patients with T2DM from May 2022 to May 2023 were selected,including 125 patients with simple T2DM(T2DM group)and 156 patients with T2DM combined with MAFLD(T2DM+MAFLD group).120 healthy individuals during the same period were selected as the control(NC)group.The related indexes of glucose and lipid metabolism were detected.The polymorphism of GLP-1R gene rs3765467 was detected.Results BMI,FPG,HbA1c,HOMA-IR and TG in each group increased in turn(P<0.05),while the distribution frequency of genotype GG and allele G decreased in turn(P<0.05).TC and LDL-C in T2DM and T2DM+MAFLD groups were higher than those in NC group(P<0.05).TC and TG levels in genotype GA/AA patients were significantly higher than those in genotype GG patients(P<0.05).Compared with before treatment,the levels of BMI,FPG,HbA1c,HOMA-IR,TC,TG and LDL-C in T2DM patients with MAFLD were significantly decreased after Lir treatment(P<0.05).There was no significant difference in BMI and related indexes of glucose and lipid metabolism in GG and GA/AA patients before and after Lir treatment(P>0.05).Conclusions The distribution frequency of GG and G allele at rs3765467 of GLP-1R gene is reduced in T2DM patients with MAFLD.The carrying of allele A was associated with increased TC and TG levels,but did not affect the efficacy of Lir in reducing weight and improving glycolipid metabolism.

Objective Based on a clinical cohort study of repeated ketamine infusions for treatment-resistant depression(TRD),this study aimed to examine differences in brain-derived neurotrophic factor(BDNF)methylation among patients with varying therapeutic responses and explore its potential role in predicting treatment efficacy.Methods A retrospective analysis was conducted on peripheral plasma BDNF levels in 83 patients with TRD before and after a 2-week course of ketamine treatment(6 injections total).The Montgomery-Asberg depression rating scale(MADRS)was used to assess treatment efficacy.BDNF methylation levels were compared between responder group and non-responder group.The effect of methylation of the target CpG site on transcriptional activity was verified by using the dual luciferase reporter gene system.Results In patients with TRD who completed six repeated ketamine infusions,the responder group showed significant improvements compared to baseline levels in both MADRS scores(25.20±7.54 vs.8.10±5.32,P<0.01)and plasma BDNF concentrations[8.74(5.26,13.46)ng/mL vs.16.59(7.41,24.46)ng/mL,P<0.01].At baseline,35 CpG sites within the BDNF gene displayed significant methylation differences between response groups(P<0.05).Two CpG sites(rs1240718851 and cg06260077)located in the BDNF promoter region demonstrated a hypermethylation-low expression correlation,and dual-luciferase reporter assays confirmed that one of these sites functionally modulates BDNF expression.Conclusions The plasma BDNF concentration in TRD patients increases with the remission of depressive symptoms.The regulation of BDNF gene expression by methylation can predict the antidepressant efficacy of repeated intravenous ketamine.

Objective:To summarize the drug resistance characteristics of clinical pathogen isolates in a tuberculosis specialized hospital from 2017 to 2023，and understand the distribution characterisitics of pathogens and their resistance to antimicrobial agents.Methods:The isolates from January 2017 to December 2023 were identified and subjected to drug susceptibility tests using the VITEK 2-compact system. The susceptibilities of the isolates to antimicrobial agents were determined by the minimum inhibitory concentration（MIC）methods according to the CLSI（2023）guideline. The data of detection of different kinds of bacteria，specimen distribution and the detection rates of major drug-resistant gram-negative bacteria in hospital antimicrobial resistance were analyzed. Chi square test were performed to analyze one or more sets of data related to detection rate or drug resistance rate by SPSS 17.0.Results:A total of 9 993 isolates were detected，among which 9 079（90.9%）were gram-negative bacteria and 914（9.1%）were gram-positive bacteria. From 2017 to 2022，among all gram-negative isolates，the top three most frequently isolated pathogens were Klebsiella pneumonia，followed by Pseudomonas aeruginosa and Acinetobacter baumannii. The overall resistance rates to carbapenems in Acinetobacter baumannii， Pseudomonas aeruginosa， Klebsiella pneumonia，and Escherichia coli were 43.7%（495/1 133），19.4%（276/1 423），8.4%（279/3 304），3.6%（19/521），respectively. The overall detection rates of ceftriaxone/ciprofloxacin-resistant Klebsiella pneumonia（CTX/CRO-R-KPN），or Escherichia coli（CTX/CRO-R-ECO），and quinolone-resistant Escherichia coli（QNR-ECO）were 19.5%（644/3 304），57.6%（300/521），77.4%（403/521），respectively. The difference in resistance rates between imipenem-resistant and imipenem-susceptible Klebsiella pneumoniae was statistically significant（ P<0.05）. Except for CTX/CRO-R-ECO（ χ2=7.9 ，P>0.05），significant differences were observed in the detection rates of other major drug-resistant gram-negative bacteria in hospital（ P<0.05）. The detection of some drug-resistant strains showed an upward trend in recent years. Carbapenem-resistant Acinetobacter baumannii， Pseudomonas aeruginosa，and Escherichia coli exhibited higher resistance rate to other antibiotics. Conclusions:The detection rates of major drug-resistant gram-negative bacteria have increased in the past two years. Carbapenem-resistant strains exhibit relatively high resistance rate to cephalosporin and quinolone antibiotics. Although carbapenem antibiotics remain effective against Enterobacteriaceae，strengthened antimicrobial resistance monitoring and control of multidrug-resistant bacteria spread are necessary.