Rheumatoid arthritis(RA)is a chronic,systemic,autoimmune inflammatory disease.Bone destruction caused by RA is a key factor in disability,involving abnormal activation of immune cells,overproduction of inflammatory factors,and imbalances in bone remodeling process.Ferroptosis,a form of cell death associated with disturbed iron metabolism,inactivation of the antioxidant system and lipid peroxidation,plays a complex role in RA bone destruction.Traditional Chinese medicine(TCM),with its multi-targeted intervention properties,has shown significant potential and advantages in treatment of RA bone destruction.A variety of TCM can regulate the ferroptosis pathway and influence osteoblast function,which has an important role in slowing down RA bone destruction.This review focuses on the latest research progress in the regulation of ferroptosis pathway by TCM to alleviate RA bone destruction,aiming to provide new perspectives and theoretical basis for the treatment of RA bone destruction.

Objective To establish a flow cytometry method for detecting C1s protein on platelet surface and preliminarily explore its potential application value in the auxiliary diagnosis of primary immune thrombocytopenia(ITP).Methods C1s-conjugated 2 μm car-boxylated magnetic beads(C1s beads)were prepared and used as quality control particles.Fluorescein isothiocyanate(FITC)-labeled anti-C1s antibody was employed as the detection antibody to develop a flow cytometric assay for detecting C1s protein expression on platelets.The intra-assay and inter-assay precision,as well as the dilution linearity of the method,were evaluated.Subsequently,the expression levels of C1 s protein on the surface of platelets were compared among the ITP group,the non-ITP thrombocytopenia group,and the healthy control group.Results Light microscopy showed that both unconjugated carboxylated magnetic beads(blank beads)and C1s-conjugated beads were uniformly dispersed without aggregation.Under fluorescence microscopy,C1s beads exhibited strong yellow-green fluorescence,whereas the blank beads showed no fluorescence signal.The established flow cytometry assay exhibited ac-ceptable precision,with intra-assay coefficient of variation(CV)values of 7.02％,7.12％,and 3.91％for low,medium,and high con-centrations of C1s beads,respectively,and inter-assay CV values of 13.49％,6.15％,and 0.78％,respectively.The dilution linearity was satisfactory,coefficient of determination(R2)=0.998 8.Clinical sample testing revealed that the proportion of C1s-positive plate-lets in ITP group(2.56±0.79)％was significantly higher than that in healthy control group(0.23±0.18)％and the non-ITP thrombo-cytopenia control group(0.22±0.10)％,with statistically significant differences(both P＜0.05).Conclusion This study successfully established a stable and reliable flow-cytometry method for quantifying C1s expression on platelet surface and preliminarily demonstrated that C1s expression is significantly elevated on platelets of ITP patients,suggesting that C1s could serve as a potential auxiliary diag-nostic marker for ITP.

Rheumatoid arthritis(RA)is a chronic,systemic,autoimmune inflammatory disease.Bone destruction caused by RA is a key factor in disability,involving abnormal activation of immune cells,overproduction of inflammatory factors,and imbalances in bone remodeling process.Ferroptosis,a form of cell death associated with disturbed iron metabolism,inactivation of the antioxidant system and lipid peroxidation,plays a complex role in RA bone destruction.Traditional Chinese medicine(TCM),with its multi-targeted intervention properties,has shown significant potential and advantages in treatment of RA bone destruction.A variety of TCM can regulate the ferroptosis pathway and influence osteoblast function,which has an important role in slowing down RA bone destruction.This review focuses on the latest research progress in the regulation of ferroptosis pathway by TCM to alleviate RA bone destruction,aiming to provide new perspectives and theoretical basis for the treatment of RA bone destruction.

Objective To establish a flow cytometry method for detecting C1s protein on platelet surface and preliminarily explore its potential application value in the auxiliary diagnosis of primary immune thrombocytopenia(ITP).Methods C1s-conjugated 2 μm car-boxylated magnetic beads(C1s beads)were prepared and used as quality control particles.Fluorescein isothiocyanate(FITC)-labeled anti-C1s antibody was employed as the detection antibody to develop a flow cytometric assay for detecting C1s protein expression on platelets.The intra-assay and inter-assay precision,as well as the dilution linearity of the method,were evaluated.Subsequently,the expression levels of C1 s protein on the surface of platelets were compared among the ITP group,the non-ITP thrombocytopenia group,and the healthy control group.Results Light microscopy showed that both unconjugated carboxylated magnetic beads(blank beads)and C1s-conjugated beads were uniformly dispersed without aggregation.Under fluorescence microscopy,C1s beads exhibited strong yellow-green fluorescence,whereas the blank beads showed no fluorescence signal.The established flow cytometry assay exhibited ac-ceptable precision,with intra-assay coefficient of variation(CV)values of 7.02％,7.12％,and 3.91％for low,medium,and high con-centrations of C1s beads,respectively,and inter-assay CV values of 13.49％,6.15％,and 0.78％,respectively.The dilution linearity was satisfactory,coefficient of determination(R2)=0.998 8.Clinical sample testing revealed that the proportion of C1s-positive plate-lets in ITP group(2.56±0.79)％was significantly higher than that in healthy control group(0.23±0.18)％and the non-ITP thrombo-cytopenia control group(0.22±0.10)％,with statistically significant differences(both P＜0.05).Conclusion This study successfully established a stable and reliable flow-cytometry method for quantifying C1s expression on platelet surface and preliminarily demonstrated that C1s expression is significantly elevated on platelets of ITP patients,suggesting that C1s could serve as a potential auxiliary diag-nostic marker for ITP.

Objective To establish and validate a prediction model for gastric cancer lymph node metastasis based on four machine learning (ML) algorithms. Methods A retrospective analysis was conducted on clinical data of 531 patients who underwent radical gastrectomy. The patients were randomly divided into training set (399 patients) and test set (132 patients) in a ratio of 3 to 1. Univariate analysis was used to screen for variables associated with gastric cancer lymph node metastasis, and Logistic regression, random forest, K-nearest neighbor algorithm, and support vector machine algorithm models were established to rank the importance of variables. All ML algorithm models were validated in the test set, and receiver operating characteristic (ROC) curves were plotted. The optimal ML algorithm model was determined based on the area under the curve (AUC), sensitivity, specificity, and accuracy. A nomogram model was constructed based on the variable importance ranking of the optimal ML algorithm model. The discrimination, calibration, and clinical applicability of the nomogram model were evaluated using ROC curves, calibration curves, and decision curves. Results The results of the comparison of the four ML algorithm models showed that the random forest model was the optimal algorithm model. The accuracy, sensitivity, and specificity of the random forest model in the training set were 72.7%, 69.9%, and 75.0%, respectively, with an AUC of 0.803. The accuracy, sensitivity, and specificity of the random forest model in the test set were 64.4%, 66.7%, and 62.5%, respectively, with an AUC of 0.751. A nomogram model was constructed based on the variables of the random forest algorithm model. The ROC curve showed that the AUCs of the nomogram model in the training set and test set were 0.721 and 0.776, respectively. Calibration curves and decision curves showed that the nomogram model had good calibration and clinical applicability in both the training set and test set. Conclusion The random forest model is the optimal algorithm model among the four ML algorithm models. The nomogram model based on the random forest model can accurately predict the risk of gastric cancer lymph node metastasis, thereby better guiding clinical diagnosis and treatment decisions.

Objective:To analyze the effectiveness and interobserver agreement of the Parer five-tier, the National Institute of Child Health and Human Development (NICHD) three-tier, and the International Federation of Gynecology and Obstetrics (FIGO) three-tier electronic fetal monitoring (EFM) systems in identification of neonatal acidosis during labor.Methods:This retrospective study was conducted on full-term singleton cephalic deliveries with neonatal acidosis (umbilical artery blood gas pH≤7.1) and normal newborns (umbilical artery blood gas pH≥7.2) in the Nanjing Drum Tower Hospital, Nanjing University Medical School from January to December 2020. EFM tracings during the last 30-60 min before delivery were collected. Four obstetricians independently described the features of randomly sorted and coded EFM tracings. Another obstetrician categorized these tracings using the NICHD three-tier, FIGO three-tier, and Parer five-tier evaluation systems based on the features. All researchers were masked to the clinical characteristics and maternal and neonatal outcomes. The sensitivity and specificity for identifying neonatal acidosis, as well as the interobserver agreement, were analyzed for all three systems. Independent sample t-test, Chi-square (or Fisher's exact test) and Mann-Whitney U tests were used for statistical analysis. Inter-group comparisons of sensitivity and specificity between the three evaluation systems were assessed using McNemar's test. The Kappa statistic was used to analyze interobserver agreement. Results:This study included a total of 3 558 cases. After propensity score matching, there were 44 cases of neonatal acidosis and 78 control cases. There were no significant differences in parity, gestational weeks, modes of delivery, placental abruption, or analgesia rates between the two groups. The rates of instrumental vaginal delivery and neonatal intensive care unit (NICU) admission in the acidosis group were significantly higher than those in the control group [15.8% (7/44) vs. 2.6% (2/78), χ2=8.45, P=0.003; 31.8% (14/44) vs. 12.8% (10/78), χ2=8.45, P=0.004], while the umbilical artery blood pH and mean base excess were lower in the acidosis group than in the control group [7.04±0.07 vs. 7.30±0.05, t=4.98; (－12.40±3.32) vs. (－5.64±1.95) mmol/L, t=13.61; both P<0.001]. (2) Using the NICHD three-tier system, 95.5% (42/44) of the acidosis cases and 89.7% (70/78) of the control cases were classified as having category Ⅱ EFM tracings, indicating potential fetal acid-base imbalance; category Ⅲ EFM tracings were only observed in 4.5% (2/44) of the cases in the acidosis group. With the FIGO three-tier system, 81.8% (36/44) of the acidosis cases were categorized as having "pathological" tracings, and with the Parer five-tier system, 86.4% (38/44) of the acidosis cases were correctly classified into the "orange or red" risk zones that indicated acid-base imbalance. Among the control cases, there were 28.2% (22/78) with EFM tracings of "normal patterns" categorized by the FIGO three-tier system, and 41.0% (32/78) classified into the "green or blue" risk zones by the Parer five-tier system, which indicated good fetal conditions. None of the acidosis cases were misdiagnosed as being normal by the Parer five-tier system. (3) Compared with the NICHD three-tier system, both the FIGO three-tier and the Parer five-tier systems showed increased diagnostic sensitivity [4.5% (1.2%- 14.5%) vs. 81.8% (66.8%-89.4%) and 86.4% (71.8%-92.4%)], but decreased specificity [100.0% (95.3%- 100.0%) vs. 87.2% (78.0%-92.9%) and 84.6% (75.0%-91.0%)]. There was no statistically significant difference in the sensitivity or specificity between the FIGO three-tier and Parer five-tier systems for identifying neonatal acidosis ( P=0.727 and 0.791). (4) When reading the tracings of control cases, the total agreement rate for the NICHD three-tier system by different observers was as high as 94.2%, while the total agreement rates for the FIGO three-tier and Parer five-tier systems were 69.7% and 67.7%, respectively. In the interpretation of EFHR tracings for acidosis cases, the interobserver agreement for the Parer five-tier system was excellent [Kappa (95% CI): 0.87 (0.79-0.95)], while both the NICHD three-tier and FIGO three-tier systems showed good agreement [Kappa (95% CI): 0.77 (0.66-0.88) and 0.72 (0.60-0.84)]. Conclusions:The Parer five-tier and the FIGO three-tier systems have higher sensitivity in identifying neonatal acidosis than the NICHD three-tier system, and the Parer five-tier system achieves a higher negative predictive value and a greater agreement in the interpretation of pathological EFM patterns.

Objective:To explore the mechanism of Jianpi Qingchang Decoction in the treatment of UC by integrating network pharmacology, bioinformatics, molecular docking and experimental verification.Methods:The effective components and targets of Jianpi Qingchang Decoction were obtained from TCMSP database, and UC data sets GSE16879, GSE48958 and GSE75214 were obtained from GEO database, and differentially expressed genes were screened; intersection targets were obtained through Venn diagram, and GO function and KEGG pathway enrichment analysis was performed. An intersection target PPI network was constructed using STRING database and topology analysis was performed; hub genes were screened through lasso regression and the expression consistency of core targets in the dataset was verified through logistic regression. A UC mouse model was established and hub genes were validated.Results:A total of 213 drug targets of Jianpi Qingchang Decoction were obtained, and 499 common intersection targets of GSE16879, GSE48958 and GSE75214 were obtained by differential gene expression analysis. Thirty intersection targets of Jianpi Qingchang Decoction and UC were obtained, mainly acting on IL-17 signaling pathway, TNF signaling pathway, AGE-RAGE signaling pathway in diabetic complications, etc. PPI network topology analysis obtained 7 common intersection targets, including PTGS2, IL-1B, IL-6, MMP9, CXCL8, CCL2 and MMP2. IL-6 and MMP2 were selected as hub genes by lasso regression. Logistics regression analysis showed that IL-6 and MMP2 were risk factors for the disease. Compared with the model group, the expressions of IL-6 and MMP2 mRNA and protein in the colon tissue of the TCM group decreased ( P<0.05), and the morphology of colon tissue was improved compared with the model group. Conclusion:IL-6 and MMP2 are risk factors for UC, the therapeutic effect of Jianpi Qingchang Decoction is to mediate Il-17 signal pathway, TNF signal pathway and AGE-RAGE signal pathway in diabetic complications through the targets of IL-6, and MMP2, thereby treating UC.

Objective     To explore the correlation between the quantitative and qualitative features of CT images and the invasiveness of pulmonary ground-glass nodules, providing reference value for preoperative planning of patients with ground-glass nodules. Methods    The patients with ground-glass nodules who underwent surgical treatment and were diagnosed with pulmonary adenocarcinoma from September 2020 to July 2022 at the Third Affiliated Hospital of Kunming Medical University were collected. Based on the pathological diagnosis results, they were divided into two groups: a non-invasive adenocarcinoma group with in situ and minimally invasive adenocarcinoma, and an invasive adenocarcinoma group. Imaging features were collected, and a univariate logistic regression analysis was conducted on the clinical and imaging data of the patients. Variables with statistical difference were selected for multivariate logistic regression analysis to establish a predictive model of invasive adenocarcinoma based on independent risk factors. Finally, the sensitivity and specificity were calculated based on the Youden index. Results     A total of 555 patients were collected. The were 310 patients in the non-invasive adenocarcinoma group, including 235 females and 75 males, with a meadian age of 49 (43, 58) years, and 245 patients in the invasive adenocarcinoma group, including 163 females and 82 males, with a meadian age of 53 (46, 61) years. The binary logistic regression analysis showed that the maximum diameter (OR=4.707, 95%CI 2.060 to 10.758), consolidation/tumor ratio (CTR, OR=1.027, 95%CI 1.011 to 1.043), maximum CT value (OR=1.025, 95%CI 1.004 to 1.047), mean CT value (OR=1.035, 95%CI 1.008 to 1.063), spiculation sign (OR=2.055, 95%CI 1.148 to 3.679), and vascular convergence sign (OR=2.508, 95%CI 1.345 to 4.676) were independent risk factors for the occurrence of invasive adenocarcinoma (P<0.05). Based on the independent predictive factors, a predictive model of invasive adenocarcinoma was constructed. The formula for the model prediction was: Logit(P)=–1.293+1.549×maximum diameter of lesion+0.026×CTR+0.025×maximum CT value+0.034×mean CT value+0.72×spiculation sign+0.919×vascular convergence sign. The area under the receiver operating characteristic curve of the model was 0.910 (95%CI 0.885 to 0.934), indicating that the model had good discrimination ability. The calibration curve showed that the predictive model had good calibration, and the decision analysis curve showed that the model had good clinical utility. Conclusion     The predictive model combining quantitative and qualitative features of CT has a good predictive ability for the invasiveness of ground-glass nodules. Its predictive performance is higher than any single indicator.

Objective: To investigate the prevalence of work-related musculoskeletal disorders (WMSDs) and influencing factors among vegetable greenhouse workers, so as to provide insights into relevant intervention measurements. Methods: Workers from 4 vegetable greenhouse villages were sampled in the suburbs of Xining City using a cluster sampling method from March to April 2023. Participants' demographic information, characteristics of greenhouse operation and prevalence of WMSDs were collected using questionnaire surveys. Factors affecting the prevalence of WMSDs among vegetable greenhouse workers were identified using a multivariable logistic regression model. Results: A total of 550 questionnaires were distributed, and 518 valid questionnaires were recovered, with an effective response rate of 94.18%. There were 264 males (50.97%) and 254 females (49.03%), and 269 participants (51.93%) aged 50 years and older. The prevalence of WMSDs among vegetable greenhouse workers was 40.93% (212 cases). Waist, neck and back were mainly affected, with 185 (35.71%), 157 (30.31%), and 153 (29.54%) cases, respectively. Multivariable logistic regression analysis showed that workers who smoke (OR=2.406, 95%CI: 1.133-5.110), worked 8 hours and longer per day (OR=6.618, 95%CI: 3.492-12.542) and lift heavy loads of about 20 kg (OR=1.770, 95%CI: 1.013-3.092) had a higher risk of WMSDs. Conclusions WMSDs occurred in 40.93% of vegetable greenhouse workers in Xining City, and waist, neck and back were mainly affected. Smoking, working duration and lifting heavy loads may influence the prevalence of WMSDs among vegetable greenhouse workers in Xining City.

Objective:To explore the effect of traditional teaching and standardized patient (SP) teaching in medical students' inquiry teaching through the phased examination results of practicing physicians.Methods:A total of 107 students from Class 1 and Class 2 of Batch 2013 majoring in clinical medicine of Qinghai University were selected as the control group, and 100 students from Class 1 and Class 2 of Batch 2014 were selected as the experimental group. In the inquiry teaching, the control group adopted the traditional teaching method, and the experimental group adopted the SP teaching method. The effect of the two groups of teaching methods was compared by collecting the scores of the medical history of the medical practitioners in the phased examination. SPSS 18.0 was used for t-test. Results:The scores of current medical history (81.43±8.19), case collection (8.19±0.70), inquiry content (47.63±4.55), examiner's total score (73.75±5.21), and total score (91.93±5.67) in the experimental group were higher than those in the control group [(71.65±8.29) (7.85±0.68) (43.68±4.76) (69.68±5.40) and (88.03±6.01)] and the difference was statistically significant ( P<0.001). The scores of communication ability (8.94±0.62) question expression (4.54±0.44) and communication skills (4.52±0.47) in the comprehensive performance of the control group were higher than those in the experimental group [(8.77±0.60) (4.33±0.54) and (4.38±0.46), respectively], and the difference was statistically significant ( P<0.05). Conclusion:The overall teaching effect of the SP teaching is better than that of the traditional teaching, but it has its own advantages and disadvantages in specific knowledge points. It is worth further discussion to combine the two to complement the advantages and complement each other to assist medical education.