Objective To establish a stable and reliable sepsis model of rat after liver transplantation (LT) for clinical translational research and analyze its characteristics. Methods The "two-sleeve method" was used to establish the in situ LT model of SD rats, and the sepsis model was constructed through cecal ligation and puncture (CLP) at 3 d after the operation. SD rats were randomly divided into 3 groups: sham operation group (Sham group), LT group, and LT + CLP group, with 6 rats in each group. The changes in body weight, rectal temperature and survival rate were compared, and the sepsis score was used for evaluation. The levels of blood biochemical indicators [alanine aminotransferase (ALT), aspartate aminotransferase (AST), urea (Urea), creatinine (Cr), creatine kinase (CK), lactate dehydrogenase (LDH)] and inflammatory factors [interleukin (IL)-1β, IL-6, IL-10, tumor necrosis factor (TNF)-α] in each group were detected, and the pathological changes and cell apoptosis in different organs were observed. Results Compared with the Sham group, the body weight of the LT group and LT + CLP group decreased (all P<0.05). The rectal temperature of the LT + CLP group showed a continuous downward trend after the operation, the sepsis score increased sharply after the operation, and the survival rate dropped to 16.7%, and the differences between the Sham group, LT group and LT + CLP group were statistically significant (all P<0.05). The levels of ALT, AST, Urea, Cr, CK, LDH, and serum IL-1β, IL-6, IL-10 and TNF-α in the LT + CLP group were higher than those in the Sham group and LT group rats within 72 hours after the operation(all P<0.05). The pathological examination of the LT + CLP group showed severe tissue structure destruction, necrosis and infiltration of inflammatory cells in multiple organs, and terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling (TUNEL) staining showed an increased level of cell apoptosis in multiple organs. Conclusions Using liver transplantation combined with CLP, a stable animal model of liver transplantation infection is successfully established, which exhibits a high mortality rate, significant multi-organ damage and intense inflammatory response, providing an ideal animal model for transplantation infection research.

OBJECTIVE To investigate the mechanism by which Shenfukang capsule （SFK） ameliorates renal interstitial fibrosis （RIF） by regulating macrophage-fibroblast crosstalk via the signal transducer and activator of transcription 3 （STAT3）/Yes-associated protein （YAP） pathway. METHODS RAW264.7 macrophages were induced to polarize with transforming growth factor-β 1 （TGF-β 1 ）. Subsequently， a non-contact co-culture system of macrophages with renal fibroblasts NRK-49F， as well as a non-contact co-culture system of macrophages with YAP-knockdown renal fibroblasts， were established. Cells were treated with low， medium， and high concentrations （4， 8， 16 μg/mL） of SFK， as well as a STAT3 inhibitor （STAT3-I，1.64 μg/mL） and losartan potassium tablets （positive control， 0.28 μg/mL）， for 48 h. After intervention， the protein and mRNA expression levels of CD86， CD163， and STAT3 in macrophages， as well as CD86， F4/80， and STAT3 mRNA， were detected. In co-cultured renal fibroblasts， the protein and mRNA expression levels of α -smooth muscle actin （ α -SMA）， Vimentin， collagen type Ⅰ （Col-Ⅰ）， matrix metalloproteinase-1 （MMP-1）， and YAP were detected. In co-cultured YAP-knockdown renal fibroblasts， the protein and mRNA expression levels of α -SMA， Vimentin， and MMP-1 were also detected. RESULTS Following TGF-β 1 induction， the protein expression levels of CD86， CD163， and STAT3， as well as the mRNA expression levels of CD86， F4/80， and STAT3 in macrophages were significantly increased （ P ＜0.05）. The conditioned medium from polarized macrophages activated renal fibroblasts， as evidenced by significantly increased protein and mRNA expression levels of α -SMA， Vimentin， Col-Ⅰ， and YAP， and significantly decreased protein and mRNA expression levels of MMP-1 in renal fibroblasts （ P ＜0.05）. Treatment with SFK and STAT3-I reversed the changes in the above indicators， with the medium concentration SFK group showing stronge r effects on some indicators than the low and high concentration groups. In the non-contact co-culture experiment of macrophages and YAP-knockdown renal fibroblasts， there were no statistically significant differences in the protein and mRNA expression of α-SMA， Vimentin， and MMP-1 among the groups. CONCLUSIONS SFK can inhibit macrophage-renal fibroblast crosstalk by blocking the STAT3/YAP pathway， thereby delaying the progression of RIF.

OBJECTIVE To explore the influencing factors of Shenfukang capsule in the treatment of chronic kidney disease （CKD） and construct a nomogram prediction model for evaluating its therapeutic efficacy. METHODS CKD patients who were hospitalized from July 2019 to August 2022 in the First Affiliated Hospital of Guangxi Medical University and treated with Shenfukang capsule were selected as study subjects. Clinical data of the patients were collected from the hospital’s electronic medical record system， and they were divided into an effective group and an ineffective group based on treatment outcomes. Lasso-Logistic multivariate regression analysis was used to screen the influencing factors of the efficacy of Shenfukang capsule. Using the effectiveness of Shenfukang capsule treatment as the prediction outcome and the screened influencing factors as predictor variables， a nomogram prediction model was constructed using R software. All patients were randomly divided into a training cohort and a validation cohort. The discriminative ability， calibration， and clinical net benefit of the model were evaluated using the receiver operating characteristic （ROC） curve， calibration curve， and decision curve analysis， respectively. RESULTS Lasso-Logistic regression analysis revealed that concurrent diabetes mellitus， decreased levels of blood urea nitrogen， triglycerides， and serum phosphorus， as well as prolonged prothrombin time and elevated apolipoprotein AⅠ levels， were influencing factors for reduced efficacy of Shenfukang capsule in CKD treatment. The evaluation results of the nomogram prediction model showed that the area under curve values were 0.745 and 0.797 in the training and validation cohorts， respectively， which were close and both exceeded 0.70， indicating stable predictive performance. The calibration curves demonstrated good agreement in both datasets， suggesting satisfactory calibration performance. The clinical decision curves were positioned above the two extreme reference lines， indicating high clinical benefit of the model. CONCLUSIONS Diabetes mellitus， blood urea nitrogen， triglycerides， apolipoprotein AⅠ， serum phosphorus， and prothrombin time were factors associated with the efficacy of Shenfukang capsule in CKD patients. The nomogram prediction model established in this study may provide a basis for rational clinical application of Shenfukang capsule and for improving its therapeutic efficacy in CKD.

OBJECTIVE To explore the influencing factors of Shenfukang capsule in the treatment of chronic kidney disease （CKD） and construct a nomogram prediction model for evaluating its therapeutic efficacy. METHODS CKD patients who were hospitalized from July 2019 to August 2022 in the First Affiliated Hospital of Guangxi Medical University and treated with Shenfukang capsule were selected as study subjects. Clinical data of the patients were collected from the hospital’s electronic medical record system， and they were divided into an effective group and an ineffective group based on treatment outcomes. Lasso-Logistic multivariate regression analysis was used to screen the influencing factors of the efficacy of Shenfukang capsule. Using the effectiveness of Shenfukang capsule treatment as the prediction outcome and the screened influencing factors as predictor variables， a nomogram prediction model was constructed using R software. All patients were randomly divided into a training cohort and a validation cohort. The discriminative ability， calibration， and clinical net benefit of the model were evaluated using the receiver operating characteristic （ROC） curve， calibration curve， and decision curve analysis， respectively. RESULTS Lasso-Logistic regression analysis revealed that concurrent diabetes mellitus， decreased levels of blood urea nitrogen， triglycerides， and serum phosphorus， as well as prolonged prothrombin time and elevated apolipoprotein AⅠ levels， were influencing factors for reduced efficacy of Shenfukang capsule in CKD treatment. The evaluation results of the nomogram prediction model showed that the area under curve values were 0.745 and 0.797 in the training and validation cohorts， respectively， which were close and both exceeded 0.70， indicating stable predictive performance. The calibration curves demonstrated good agreement in both datasets， suggesting satisfactory calibration performance. The clinical decision curves were positioned above the two extreme reference lines， indicating high clinical benefit of the model. CONCLUSIONS Diabetes mellitus， blood urea nitrogen， triglycerides， apolipoprotein AⅠ， serum phosphorus， and prothrombin time were factors associated with the efficacy of Shenfukang capsule in CKD patients. The nomogram prediction model established in this study may provide a basis for rational clinical application of Shenfukang capsule and for improving its therapeutic efficacy in CKD.

Pannexin 1(PANX1)interacts with purinergic receptors through regulating immune responses,relea-sing adenosine triphosphate(ATP),and the NLRP3/caspase-1/interleukin(IL)-1β signaling pathway,then influ-ences the activation of immune cells and promotes the production of reactive oxygen species(ROS),thus causing in-flammation and tissue damage which exacerbates infection.This research group has synthesized new polypeptides named QE20 and EE20,which can specifically inhibit the opening of PANX1 channels under inflammatory stimula-tion,offering advantages such as reducing cellular ATP release,inhibiting inflammatory factor secretion,and pre-venting hepatocyte pyroptosis,et al.This review summarizes the roles and mechanisms of PANX1 in various infec-tious diseases,and predicts the feasibility of PANX1 as a potential therapeutic target in the future.

Objective To optimize scanning parameters of SPECIAL 1H-MR spectroscopy(MRS),and to observe the feasibility of combining with self-made simulated metabolite spectral data set(B set)of LCModel software for quantitative analysis of pig liver glucose(Glc)in vitro.Methods Metabolite mixture of cod liver oil,Glc and choline with different concentrations of Glc(10,20,30,40,50 mmol/L)and the fixed concentration of cod liver oil(0.125 mg/ml)and choline(100 mmol/L)were prepared with saline to simulate liver metabolism phantoms.There were 5 tube models for each Glc concentration,with 25 tube models configured.SPECIAL sequence was used to scan tube models with different parameters,and 1H-MRS images were obtained.The acquired SPECIAL data of tube models were analyzed using LCModel software and built-in metabolite basic set(A set)and B set,respectively.SPECIAL 1H-MRS images were generated,and signal-to-noise ratio(SNR),standard deviation％(SD％)and Glc signal intensity were obtained.The quality of SPECIAL 1H-MRS images were evaluated according to SNR and SD％,and the optimal scanning parameters were selected.The correlation of Glc signal intensity of phantoms obtained by combining optimal parameters with B set and Glc concentration were analyzed.The optimal SPECIAL sequence was used to scan pig liver in vitro(n=5).Then updated fat suppression(FS)-SPECIAL sequence scanning were performed,the corresponding 1H-MRS images were obtained based on B set,and the quality was observed.Results The optimal scanning parameters of SPECIAL sequence included TR 3 500 ms,TE 4.42 ms,TM 20.00 ms,and the number of repetitions(averages)was 256.SNR of phantoms SPECIAL 1H-MRS acquired with the optimal scanning parameters and B set was 40.5±1.1 and SD％was(13.5±1.0)％,with clearer spectral lines,smoother baselines and higher Glc peak resolution.There was positive correlation between Glc signal intensity obtained with 1H-MRS and Glc concentration of phantoms(r=0.997,P＜0.001).SNR of SPECIAL 1H-MRS of pig liver in vitro was 24.0±2.7 and SD％was(13.5±1.1)％,while SNR of FS-SPECIAL 1H-MRS was 29.5±2.3 and SD％was(4.0±0.8)％,the methylene peak was suppressed and the resolution of Glc peak was higher.Conclusion SPECIAL 1H-MRS with optimized parameters combining with self-made simulation data set of LCModel software could be used for accurately quantitative analysis of pig liver Glc in vitro.

Objective To explore the necessity,significance,and implementation forms of integrating tumor health sci-ence popularization education and communication practice into clinical undergraduate oncology teaching.Methods Science pop-ularization education was conducted among clinical undergraduate oncology students at Guangzhou Medical University who partici-pated in science communication activities.Before and after the activities,online questionnaires were distributed via Wenjuanxing.Student questionnaires were collected within the deadline,while two different versions of questionnaires were randomly distributed to 30 parents and 20 faculty members involved in oncology teaching to assess their views and attitudes toward the necessity of pub-lic cancer prevention science communication,as well as the integration of science popularization education and communication practice into oncology teaching,and to evaluate its educational significance.Results The analysis of the questionnaires showed that nearly all or the vast majority of students,parents,and teachers highly recognized the necessity of public cancer prevention science education and awareness-raising,as well as the importance of medical students disseminating tumor health knowledge.They also strongly supported the inclusion of science popularization education in oncology teaching.Most students felt that their knowledge level improved significantly after the education sessions.Conclusion The integration of tumor science popularization education and communication practice into oncology teaching is highly necessary and meaningful.It significantly enhances students' health science literacy,sense of mission,and responsibility.It is recommended to incorporate such content into oncolo-gy teaching.

Objective To optimize scanning parameters of SPECIAL 1H-MR spectroscopy(MRS),and to observe the feasibility of combining with self-made simulated metabolite spectral data set(B set)of LCModel software for quantitative analysis of pig liver glucose(Glc)in vitro.Methods Metabolite mixture of cod liver oil,Glc and choline with different concentrations of Glc(10,20,30,40,50 mmol/L)and the fixed concentration of cod liver oil(0.125 mg/ml)and choline(100 mmol/L)were prepared with saline to simulate liver metabolism phantoms.There were 5 tube models for each Glc concentration,with 25 tube models configured.SPECIAL sequence was used to scan tube models with different parameters,and 1H-MRS images were obtained.The acquired SPECIAL data of tube models were analyzed using LCModel software and built-in metabolite basic set(A set)and B set,respectively.SPECIAL 1H-MRS images were generated,and signal-to-noise ratio(SNR),standard deviation％(SD％)and Glc signal intensity were obtained.The quality of SPECIAL 1H-MRS images were evaluated according to SNR and SD％,and the optimal scanning parameters were selected.The correlation of Glc signal intensity of phantoms obtained by combining optimal parameters with B set and Glc concentration were analyzed.The optimal SPECIAL sequence was used to scan pig liver in vitro(n=5).Then updated fat suppression(FS)-SPECIAL sequence scanning were performed,the corresponding 1H-MRS images were obtained based on B set,and the quality was observed.Results The optimal scanning parameters of SPECIAL sequence included TR 3 500 ms,TE 4.42 ms,TM 20.00 ms,and the number of repetitions(averages)was 256.SNR of phantoms SPECIAL 1H-MRS acquired with the optimal scanning parameters and B set was 40.5±1.1 and SD％was(13.5±1.0)％,with clearer spectral lines,smoother baselines and higher Glc peak resolution.There was positive correlation between Glc signal intensity obtained with 1H-MRS and Glc concentration of phantoms(r=0.997,P＜0.001).SNR of SPECIAL 1H-MRS of pig liver in vitro was 24.0±2.7 and SD％was(13.5±1.1)％,while SNR of FS-SPECIAL 1H-MRS was 29.5±2.3 and SD％was(4.0±0.8)％,the methylene peak was suppressed and the resolution of Glc peak was higher.Conclusion SPECIAL 1H-MRS with optimized parameters combining with self-made simulation data set of LCModel software could be used for accurately quantitative analysis of pig liver Glc in vitro.

Objective:To investigate the influencing factors of adult dental fluorosis in drinking water-borne endemic fluorosis areas of Inner Mongolia Autonomous Region.Methods:A case-control study was conducted in January 2024 to select adult fluorosis patients (case group) and healthy individuals (control group) from the drinking water-borne endemic fluorosis areas in Helinger County, Hohhot City, Inner Mongolia Autonomous Region as the survey subjects. Urine samples were collected to determine urinary fluoride concentration. A questionnaire survey was conducted. SPSS 25.0 software was used for χ 2 test and multivariate logistic regression analysis. Restricted cubic spline (RCS) was used to analyze the association between urinary fluoride concentration and the risk of dental fluorosis in adults. Results:A total of 161 individuals were included in the survey, including 100 in the case group and 61 in the control group. The results of univariate analysis showed that there were statistically significant differences in the distribution of gender, smoking, and urinary fluoride concentration between the case group and the control group (χ 2 = 7.54, 5.02, 9.69, P < 0.05). The results of multivariate logistic regression analysis indicated that gender ( OR = 0.36, 95% CI: 0.18 - 0.73, P = 0.005) and urinary fluoride concentration ( OR = 3.08, 95% CI: 1.46 - 6.67, P = 0.003) were the influencing factors of adult fluorosis. RCS analysis showed a significant linear dose-response relationship between the risk of dental fluorosis and urinary fluoride concentration ( Poverall trend = 0.001, Pnonlinear = 0.071). When the urinary fluoride concentration was greater than 1.57 mg/L, the risk of dental fluorosis increased with the increase of urinary fluoride concentration. Conclusion:Gender and urinary fluoride concentration are the risk factors of dental fluorosis in adults in drinking water-borne endemic fluorosis areas of Inner Mongolia Autonomous Region.

OBJECTIVE To provide a reference for revising the safety content of traditional Chinese medicine（TCM） instructions. METHODS A systematic analysis was conducted on the relevant announcements on the revision of TCM instruction from 2013 to 2024， including the year of publication， drug name， drug formulation， announcement release time， and the average number of revisions made to three safety contents （contraindication， adverse drug reaction， and precaution）. According to the report data of national adverse drug reaction monitoring from 2013 to 2024， analyze the proportion of TCM in all adverse drug reactions， the composition ratio of adverse drug reaction of different dosage forms of drugs [TCM injection， oral TCM， other （topical） TCM]. RESULTS From 2013 to 2024， the National Medical Products Administration issued a total of 101 notices on the revision of TCM instruction， involving 241 types of TCM. Among them， there were 163 types of oral TCM， 25 types of TCM injection， and 53 types of other （topical） TCM. There were 3， 10 and 0 types of TCM injection， oral TCM， and other （topical） TCM with missing safety content， respectively. The main source of adverse drug reaction data for TCM injections was post- marketing monitoring data （accounting for 48.00%）； the main source of adverse drug reaction data for oral TCM was monitoring data （accounting for 71.17%）； 73.58% of other （topical） TCM did not mention the source of adverse drug reaction data. The report on national adverse drug reaction monitoring showed that the proportion of all adverse drug reactions of TCM had decreased from 17.3% in 2013 to 12.1% in 2024. Among them， the proportion of adverse drug reaction of TCM injection in the three dosage forms of TCM had decreased from 61.3% in 2015 to 24.6% in 2024， while the proportion of adverse drug reaction of oral TCM in the three dosage forms of TCM had increased from 34.7% in 2015 to 64.0% in 2024. CONCLUSIONS The risk management of TCM safety content has achieved results in China， but still faces three major challenges： strongdependence on passive monitoring， insufficient data traceability， and missing key content. It is urgent to improve safety content by dosage form， optimize data sources， and fully utilize real-world evidence to supplement safety content.