ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

ObjectiveTo construct a scale for the diagnosis of chronic atrophic gastritis （CAG） with turbid toxin accumulating in the stomach. MethodsFirst， a research group was established to construct the scale framework. Relevant literature of CAG with syndrome of turbid toxin accumulating in the stomach was searched in CNKI， Wanfang Database （WF）， and VIP Database （CQVIP） from April 1， 2003 to April 1， 2023， and items were preliminarily selected after standardization of terms. Through clinical investigation， the discrete trend method， correlation coefficient method， Cronbach's coefficient method， and factor analysis method were used to screen symptom items， and the frequency method was used to screen signs， tongue coating， and pulse conditions. Three rounds of Delphi expert consultation were conducted to determine the items of the scale. The weight of each item was obtained by the analytic hierarchy process. ResultsA total of 49 articles were included， and 45 items were obtained after primary screening， including 28 symptoms， 2 signs， 10 tongue coatings， and 5 pulse conditions. After clinical investigation， 15 symptoms were retained， and 8 signs and pulse conditions of tongue coating were retained. The positive coefficients of experts in three rounds of Delphi expert consultation were 100%， 96.67%， and 100%， respectively. The expert authority coefficients were 0.86， 0.87， and 0.87， respectively， and the coordination coefficients were 0.18， 0.25， and 0.30. After core group discussion， Delphi method investigation， and AHP weight assignment， the diagnostic scale items of CAG with turbid toxin accumulating in stomach syndrome were finally established， namely， dark red or purplish tongue proper with yellow greasy （or dry） coating （30 points）， epigastric stuffiness and fullness or pain （15 points）， sticky and unsmooth defecation （10 points）， taste disturbance （sticky mouth， fetid breath， bitter taste， 7 points）， heartburn or acid regurgitation （6 points）， dizziness and clouding （5 points）， general heaviness and fatigue （5 points）， slippery， string‑slippery， or slippery‑rapid pulse （5 points）， dysuria （or yellow or deep yellow urine， 4 points）， poor appetite （4 points）， dull complexion （3 points）， sticky， greasy， and fetid secretions （3 points）， and poor sleep （3 points）. ConclusionBased on the establishment， screening， confirmation， and weighting of an item pool， combined with subjective and objective approaches as well as qualitative and quantitative methods， a diagnostic scale for CAG with the syndrome of turbid toxin accumulating in the stomach was successfully constructed.

Cholangiocarcinoma(CCA)is a highly malignant digestive system tumor with strong invasiveness and difficulty in treatment.Its high drug resistance,difficulty in early diagnosis,and rapid progression of invasion and metastasis pose signifi-cant challenges to clinical treatment.Research has shown that the development of resistance in CCA is one of the key factors in-fluencing treatment outcomes,with non-genetic factors playing a crucial role in the resistance process.This article summarizes the non-genetic factors contributing to resistance in CCA,and discusses the roles of epigenetic heterogeneity,epigenetic plastici-ty,and the tumor microenvironment in mediating resistance in CCA.The goal is to provide new theoretical insights for overco-ming treatment resistance in CCA.

Objective Two different venous models,one with and one without a venous sinus,each containing two pairs of adjacent orthogonal venous valves,were constructed.Using fluid-structure interaction(FSI)simulations,the influence of the venous sinus structure on blood flow in the lower limb venous system was studied,and the role of the venous sinus structure in the process of venous valve opening and closing was analyzed.Methods Based on ultrasound images and anatomical images of animals,two distinct three-dimensional(3D)geometric models of the venous system were constructed using modeling software.Using the immersed boundary method,FSI simulations of venous valves were performed to obtain hemodynamic parameters,such as changes in valve morphology,flow streamline distribution,wall shear stress(WSS)distribution,and Q-criterion intensity distribution.Results The geometric opening area of the valve in the model with sinuses was larger than that in the model without sinuses.The distribution of blood streamlines demonstrated the existence of vortices in the sinus region and helical flow within the vessel.The same venous valve pair exhibited an asymmetric distribution of WSS,with the region of high WSS behind the venous valve and the Q-criterion intensity between the far and near end valves being smaller in the sinus model compared to the non-sinus model.Conclusions The blood flow between two adjacent pairs of orthogonal venous valves exhibits a helical flow characteristics.The venous sinus structure facilitates the opening of the venous valve and the generation of vortices in the sinus region.However,the venous sinus structure may somewhat weaken the helical flow produced by the orthogonal venous valves.The venous sinus has a critical influence on the hemodynamics of the venous system,and in the study of venous valves,the venous sinus structure should be considered as an indispensable component.

AIM:To investigate the immunosuppressive effects of M2-like tumor-associated macrophages(M2-TAMs)on CD8+T cells within the tumor microenvironment of esophageal cancer.METHODS:Multiplex fluores-cence immunohistochemistry was used to analyze the distribution of immune cells in esophageal cancer tissues.An in vitro co-culture system was established,and flow cytometry along with Calcein-AM/PI staining was employed to assess the im-pact of M2-TAMs on CD8+T cell function.The GEPIA database was utilized to evaluate the prognostic significance of PDCD1 expression in esophageal cancer patients and to analyze the correlations between gene expressions.Immunohisto-chemistry(IHC)was performed to detect the expression of TGF-β1 in esophageal cancer tissues.Flow cytometry and en-zyme-linked immunosorbent assay(ELISA)were used to measure PD-1,IFN-γ and TNF-α expression in CD8+T cells fol-lowing treatment with a TGF-β1 inhibitor.RESULTS:Compared with early-stage(stage I)esophageal cancer patients,the patients with advanced disease(stages Ⅱ to Ⅳ)exhibited dynamic changes in the infiltration of CD4+T cells,CD8+T cells,Tregs,and M2-TAMs within tumor tissues,with significant correlations observed among these cell populations(P<0.05).The distribution of M2-TAMs and Tregs was positively correlated with poor prognosis(P<0.05),while that of CD8+T cells was negatively correlated(P<0.05).In contrast,CD4+T cell infiltration showed no significant association with clinical outcomes(P>0.05).Co-culture of CD8+T cells with M2-TAMs resulted in significant downregulation of CD107a,granzyme B,IFN-γ and TNF-α expression(P<0.01).Additionally,M2-TAM-treated CD8+T cells co-cultured with esophageal cancer cells led to reduced apoptosis of cancer cells.High expression of PDCD1 was significantly associated with poor prognosis(P<0.05),and significant correlations were observed between CD8A and PDCD1 expression,as well as between TGF-β1 and CD274 gene expression(P<0.01).TGF-β1 was also significantly associated with CD163+macro-phage infiltration and the progression of esophageal cancer(P<0.05).Treatment with a TGF-β1 inhibitor in the M2-TAM and CD8+T cell co-culture system significantly down-regulated PD-1 expression and increased the secretion of IFN-γ and TNF-α(P<0.01).CONCLUSION:The TGF-β1 derived from M2-TAMs inhibits the antitumor activity of CD8+T cells in the esophageal cancer microenvironment,suggesting potential therapeutic targets for overcoming immunosuppression in esophageal cancer.

Cholangiocarcinoma(CCA)is a highly malignant digestive system tumor with strong invasiveness and difficulty in treatment.Its high drug resistance,difficulty in early diagnosis,and rapid progression of invasion and metastasis pose signifi-cant challenges to clinical treatment.Research has shown that the development of resistance in CCA is one of the key factors in-fluencing treatment outcomes,with non-genetic factors playing a crucial role in the resistance process.This article summarizes the non-genetic factors contributing to resistance in CCA,and discusses the roles of epigenetic heterogeneity,epigenetic plastici-ty,and the tumor microenvironment in mediating resistance in CCA.The goal is to provide new theoretical insights for overco-ming treatment resistance in CCA.

Dendrobium is the largest genus of the Orchidaceae family.The fresh and dried stems of many species of this genus have been used as Shihu(Dendrobii Caulis)in traditional Chinese medicine,it is known as the foremost of the"Nine Great Herbs of China".Ancient texts highlight its uses for"strengthening yin,enhancing essence,nourishing the five viscera,alleviating fatigue,and dispelling skin heat and prickly heat".Modern research confirms that the polysaccharides and alkaloids it contains have antiviral ef-fects,it can apply in treating immunodeficiency caused by viral infections clinically.While studies are gradually uncovering the antivi-ral mechanisms and material basis of Dendrobium,the lack of systematic analysis and organization has hindered its resource develop-ment.The paper employed CiteSpace software for bibliometric analysis of Chinese and English literature on Dendrobium.It reviewed the herbalism,material basis,and mechanisms of its antiviral properties building upon the systematic review of ancient materia medica and modern literature.Results indicate that Dendrobium can boost vital energy and resist pathogens,showing great potential in antiviral drug development.

As an important support for hospital operations,hospital logistic maintenance services suffer from pain points such as low efficiency and passive maintenance.The fundamental reason is the lack of a closed-loop mechanism.Based on the closed-loop theory and combined with mathematical modeling,this paper constructs a quality control system for logistic mainte-nance services and proposes a four-stage management process:In the planning stage,optimization goals and constraints are clari-fied.In the design stage,a comprehensive optimization model is established to minimize response time deviation and total mainte-nance costs while maximizing the one-time repair rate.In the execution stage,a maintenance task allocation matrix is generated based on the model solution to optimize resource scheduling.In the inspection stage,RTD,FFR,and QMS are introduced to quantitatively evaluate service performance.In the improvement stage,problem feedback is addressed,and model parameters are adjusted to form a closed loop.Hospital A is used as a practical case study,and the application effect of the quality control sys-tem is verified through analysis of its maintenance data.The quality control system has significant effects on optimizing the re-sponse efficiency,stability,and resource utilization of logistic maintenance services,providing a practical reference for other medical institutions.

Gallbladder cancer is the most common malignant tumor of the biliary system,characterized by insidious growth,rapid progression,and skip metastasis.The 5-year overall survival rate is only 5%.Although targeted immunotherapies have emerged in recent years,they are still in the exploratory phase for the treatment of gallbladder cancer,and radical surgical resection remains the only potentially curative treatment.The main goal of surgery is to completely remove the tumor and perform systematic lymph node dissection to reduce the risk of recurrence.Thanks to advances in surgical techniques and continuous optimization of perioperative management,postoperative complications,and hospital mortality in patients undergoing extended radical surgery for gallbladder cancer have decreased.However,the complex mechanisms of gallbladder cancer spread and metastasis make it challenging to determine the optimal scope of surgical resection.Clinical guidelines from different countries and hepatobiliary surgery centers often vary on surgical options,especially regarding the reasonable extent of liver resection,the scope of lymph node dissection and its impact on prognosis,and whether routine extrahepatic bile duct resection should be performed.There remains significant controversy in these areas.Future extensive prospective cohort studies are still needed to provide more evidence-based medical data for the surgical treatment of gallbladder cancer.When designing a surgical plan,surgeons must consider preoperative examination results,intraoperative findings,and pathological evaluation of frozen sections.A balance must be struck between radical treatment and safety and effectiveness.The most appropriate surgical method for each patient should be chosen while also emphasizing establishing a multidisciplinary collaborative system.Based on accurate tumor staging,postoperative adjuvant therapies should be integrated to continue making progress in improving patient prognosis.