Rheumatoid arthritis (RA), as a common systemic inflammatory autoimmune disease, affects approximately 1 in 100 individuals. Effective treatment for RA is not yet available because current research does not have a clear understanding of the etiology and pathogenesis of RA. Xinfeng Capsule, a patent Chinese herbal medicine, has been used in the treatment of RA in recent years. Despite its reported clinical efficacy, there are no large-sample, multicenter, randomized trials that support the use of Xinfeng Capsule for RA. Therefore, we designed a randomized, double-blind, multicenter, placebo-controlled trial to assess the efficacy and safety of Xinfeng Capsule in the treatment of RA.

Objective To study the significance of No12 lymphadenectomy in patients of advanced distal gastric cancer undergoing D2 distal or total gastrectomy.Methods Clinical and pathological data of 193 distal gastric cancer cases undergoing D2 gastrectomy and No12 lymphadenectomy during Jan 2012 and Jan 2013 were analyzed retrospectively.Results In Borrmann Ⅲ,Ⅳ No.12a LN metastasis was significantly higher than that in Borrmann Ⅰ,Ⅱ (x2 =4.841,P =0.028).In cases of multiple cancer 12a LN metastasis was significantly higher than that in gastric angle,gastric antrum (11.1％ 、9.7％ 、30.4％).High-differentiated cancer was lower in LN metastasis than that of low differentiated both in No.12a group (x2 =4.292,P =0.038),and in No.12b group (x2 =4.079,P =0.043).In cases with serosal invasion LN metastasis was higher than that without infiltration both in No.12a group (x2 =8.107,P =0.004),and in 12b group (x2 =3.836,P =0.050).In cases of N 0 ～ 1 the LN metastasis was lower than that in N 2 ～ 3 in 12a group (x2 =10.960,P=0.001),12b group (x2 =4.989,P =0.026),and in 12p group (x2 =4.433,P =0.035 respectively).In cases of tumor diameter ＜3 cm,3 ～5 cm and ＞5 cm,the 12a lymph node metastasis rate was 4.2％,10.0％,and 29.2％,respectively.Tumor size ＞ 5 cm has higher metastasis rate in No.12a group (x2 =6.464,P =0.011).Conclusions No.12 lymphadenectomy should be included routinely in D2 gastrectomy in patients of distal gastric carcinoma.

Rheumatoid arthritis(RA)is a common chronic autoimmune disease with synovitis as its pathological basis and erosive arthritis as its main symptom.Pathogenesis of RA is complex,combination of genetic factors,environmental factors,immune cells,cytokines and autoantibodies causes joint injury,bone destruction and multi-system disease of RA.However,the above mecha-nisms can not fully explain the poor prognosis,high disability rate and poor clinical treatment effect of RA.Therefore,exploring new pathogenesis and therapeutic targets of RA is the focus of RA research.In recent years,with the deepening of RA research,it has been found that there is a new form of cell death in pathological process of RA,namely ferroptosis.Ferroptosis is a type of cell death caused by inhibition of glutathione peroxidase activity and accumulation of lipid reactive oxygen species.Previous studies have con-firmed the close correlation between RA and ferroptosis,this paper mainly explores ferroptosis-related signal pathways that affect the change and development of RA disease from the perspective of regulating the main signal pathways of ferroptosis,so as to find new therapeutic targets for RA and new therapeutic ideas for research.

Objective:To construct an ensemble machine learning model for predicting the occurrence of clinically relevant postoperative pancreatic fistula (CR-POPF) after pancreaticoduodenectomy and evaluate its application value.Methods:This is a research on predictive model. Clinical data of 421 patients undergoing pancreaticoduodenectomy in the Department of Pancreatic Surgery,Union Hospital, Tongji Medical College,Huazhong University of Science and Technology from June 2020 to May 2023 were retrospectively collected. There were 241 males (57.2%) and 180 females (42.8%) with an age of (59.7±11.0)years (range: 12 to 85 years).The research objects were divided into training set (315 cases) and test set (106 cases) by stratified random sampling in the ratio of 3∶1. Recursive feature elimination is used to screen features,nine machine learning algorithms are used to model,three groups of models with better fitting ability are selected,and the ensemble model was constructed by Stacking algorithm for model fusion. The model performance was evaluated by various indexes,and the interpretability of the optimal model was analyzed by Shapley Additive Explanations(SHAP) method. The patients in the test set were divided into different risk groups according to the prediction probability (P) of the alternative pancreatic fistula risk score system (a-FRS). The a-FRS score was validated and the predictive efficacy of the model was compared.Results:Among 421 patients,CR-POPF occurred in 84 cases (20.0%). In the test set,the Stacking ensemble model performs best,with the area under the curve (AUC) of the subject′s work characteristic curve being 0.823,the accuracy being 0.83,the F1 score being 0.63,and the Brier score being 0.097. SHAP summary map showed that the top 9 factors affecting CR-POPF after pancreaticoduodenectomy were pancreatic duct diameter,CT value ratio,postoperative serum amylase,IL-6,body mass index,operative time,albumin difference before and after surgery,procalcitonin and IL-10. The effects of each feature on the occurrence of CR-POPF after pancreaticoduodenectomy showed a complex nonlinear relationship. The risk of CR-POPF increased when pancreatic duct diameter<3.5 mm,CT value ratio<0.95,postoperative serum amylase concentration>150 U/L,IL-6 level>280 ng/L,operative time>350 minutes,and albumin decreased by more than 10 g/L. The AUC of a-FRS in the test set was 0.668,and the prediction performance of a-FRS was lower than that of the Stacking ensemble machine learning model.Conclusion:The ensemble machine learning model constructed in this study can predict the occurrence of CR-POPF after pancreaticoduodenectomy,and has the potential to be a tool for personalized diagnosis and treatment after pancreaticoduodenectomy.

Objective:To construct an ensemble machine learning model for predicting the occurrence of clinically relevant postoperative pancreatic fistula (CR-POPF) after pancreaticoduodenectomy and evaluate its application value.Methods:This is a research on predictive model. Clinical data of 421 patients undergoing pancreaticoduodenectomy in the Department of Pancreatic Surgery,Union Hospital, Tongji Medical College,Huazhong University of Science and Technology from June 2020 to May 2023 were retrospectively collected. There were 241 males (57.2%) and 180 females (42.8%) with an age of (59.7±11.0)years (range: 12 to 85 years).The research objects were divided into training set (315 cases) and test set (106 cases) by stratified random sampling in the ratio of 3∶1. Recursive feature elimination is used to screen features,nine machine learning algorithms are used to model,three groups of models with better fitting ability are selected,and the ensemble model was constructed by Stacking algorithm for model fusion. The model performance was evaluated by various indexes,and the interpretability of the optimal model was analyzed by Shapley Additive Explanations(SHAP) method. The patients in the test set were divided into different risk groups according to the prediction probability (P) of the alternative pancreatic fistula risk score system (a-FRS). The a-FRS score was validated and the predictive efficacy of the model was compared.Results:Among 421 patients,CR-POPF occurred in 84 cases (20.0%). In the test set,the Stacking ensemble model performs best,with the area under the curve (AUC) of the subject′s work characteristic curve being 0.823,the accuracy being 0.83,the F1 score being 0.63,and the Brier score being 0.097. SHAP summary map showed that the top 9 factors affecting CR-POPF after pancreaticoduodenectomy were pancreatic duct diameter,CT value ratio,postoperative serum amylase,IL-6,body mass index,operative time,albumin difference before and after surgery,procalcitonin and IL-10. The effects of each feature on the occurrence of CR-POPF after pancreaticoduodenectomy showed a complex nonlinear relationship. The risk of CR-POPF increased when pancreatic duct diameter<3.5 mm,CT value ratio<0.95,postoperative serum amylase concentration>150 U/L,IL-6 level>280 ng/L,operative time>350 minutes,and albumin decreased by more than 10 g/L. The AUC of a-FRS in the test set was 0.668,and the prediction performance of a-FRS was lower than that of the Stacking ensemble machine learning model.Conclusion:The ensemble machine learning model constructed in this study can predict the occurrence of CR-POPF after pancreaticoduodenectomy,and has the potential to be a tool for personalized diagnosis and treatment after pancreaticoduodenectomy.

ObjectiveTo investigate the clinical efficacy of Qihuang Jianpi Zishen Granules in the treatment of systemic lupus erythematosus （SLE） and its effect on the signal transducer and activator of tranSCription 3/mammalian target of rapamycin （STAT3/mTOR） signaling pathway， and to decipher the possible mechanism. MethodSixty female SLE patients who met the criteria in the First Affiliated Hospital of Anhui University of Chinese Medicine from May 2022 to May 2023 were selected and randomized into a control group and an observation group （30 cases in each group）. The control group was treated with prednisone acetate + hydroxychloroquine sulfate orally， and the observation group was additionally treated with Qihuang Jianpi Zishen granules. The treatment lasted for 8 weeks. The SLE disease activity （SLEDAI）， TCM syndrome score， erythrocyte sedimentation rate （ESR）， hypersensitive C-reactive protein （hs-CRP）， immune indexes ［immunoglobulin G （IgG）， C3， C4， CD4⁺， and CD8⁺］， interleukin （IL）-17， IL-23， interferon （IFN）-γ， 24 h urinary protein （24 h PRO）， serum creatinine （SCr）， and expression of proteins ［STAT3， phosphorylated （p）-STAT3， mTOR protein and STAT3，mTOR mRNA］ in the STAT3/mTOR signaling pathway were determined before and after treatment. In addition， the adverse reactions were recorded. ResultAfter 8 weeks of treatment， the total response rate in the observation group was 93.33% （28/30）， which was higher than that （70.00%， 21/30） in the control group （χ²=4.007， P<0.05）. After treatment， both groups showed declined SLEDAI， TCM syndrome score， ESR， hs-CRP， IgG， CD8⁺， IL-17， IL-23， IFN-γ， 24 h PRO， SCr， and expression of proteins in the STAT3/mTOR pathway （P<0.01） and elevated levels of C3， C4， and CD4⁺ （P<0.01）. Moreover， the observation group had lower SLEDAI， TCM syndrome score， ESR， hs-CRP， IgG， CD8⁺， IL-17， IL-23， IFN-γ， 24 h PRO， SCr， and expression of proteins in the STAT3/mTOR pathway （P<0.05， P<0.01） and higher levels of C3， C4， and CD4⁺ （P<0.05， P<0.01） than the control group after treatment. Neither group showed serious adverse reactions during the treatment period. ConclusionQihuang Jianpi Zishen Granules can ameliorate the inflammatory response， reduce the disease activity， and mitigate the kidney injury in SLE by inhibiting the STAT3/mTOR signaling pathway to regulate the immune function.

ObjectiveTo investigate the effect of Xinfeng capsules on immunoinflammatory indicators in patients with rheumatoid arthritis （RA） due to spleen deficiency and dampness exuberance. MethodA total of 102 patients were randomly divided into control group and observation group according to the random number table method， with 51 cases in each group. All patients were treated with methotrexate tablets， while those in the observation group received additional Xinfeng capsules. The course of treatment in both groups was 12 weeks. The 28-joint disease activity score （DAS28）， visual analogue scale （VAS） scores， morning stiffness time， erythrocyte sedimentation rate （ESR）， high-sensitivity C-reactive protein （hs-CRP）， rheumatoid factor （RF）， anti-cyclic citrullinated peptide （anti-CCP） antibody， vascular endothelial growth factor （VEGF）， and serum amyloid A （SAA） of the two groups before and after treatment were compared. The efficacy and incidence of adverse events were compared between the two groups. The Apriori association rule model and random walk model were constructed to evaluate the effect of Xinfeng capsules in improving hs-CRP， ESR， RF， SAA， VEGF， and anti-CCP. ResultThere were no dropouts in this study. There was no statistical difference in the indicators between the two groups before treatment. After 12 weeks of treatment， the total effective rate in the observation group was 90.19% （46/51）， which was higher than 74.51% （38/51） in the control group （χ²＝4.320，P<0.05）. DAS28， VAS score， and morning stiffness time in the observation group were improved compared with those in the control group （P<0.05）. Apriori association rule model results showed that the application of Xinfeng capsules in the observation group had a strong correlation with the reduction of RF， ESR， hs-CRP， SAA， and VEGF. The results of the random walk model showed that the improvement coefficients of hs-CRP， ESR， RF， SAA， and VEGF in the observation group were all better than those of the control group， and the improvement coefficient of anti-CCP in the control group was better than that of the observation group. The improvement degree of hs-CRP， ESR， RF， SAA， and VEGF in the observation group was superior to that of the control group （P<0.05）. The incidence of adverse reactions in the observation group was lower than in the control group （χ²＝4.057，P<0.05）. ConclusionOn the basis of the treatment with methotrexate tablets， Xinfeng capsules can effectively improve the immunoinflammatory level in RA due to spleen deficiency and dampness exuberance and reduce the incidence of adverse reactions.