OBJECTIVE To formulate the Expert Consensus on the Implementation and Management of Drug Selection for Centralized Volume-Based Procurement in Medical Institutions of Guangxi （hereinafter referred to as the “ Consensus ”）， and to provide decision-making support and practical guidance for the drug selection and management of centralized volume-based procurement （hereinafter referred to as “centralized procurement”） drugs in medical institutions at all levels in Guangxi. METHODS A systematic review was conducted on the materials from previous batches of centralized procurement implemented in Guangxi. A comprehensive search was carried out for drug-related works and books， along with a systematic collation of guidelines on drug selection， expert consensus on centralized procurement， and policy documents. Through three rounds of specialized seminars， combined with existing evidence-based data and the practical drug selection experiences of medical institutions at various levels， this Consensus was formulated after thorough discussion and successive rounds of revision. RESULTS & CONCLUSIONS The Consensus systematically outlines the three key stages in the implementation of centralized procurement in medical institutions： procurement volume reporting， confirmation of agreed procurement volume， and procurement and usage implementation. It proposes drug selection strategies for centralized procurement bas ed on multiple dimensions， including specifications， dosage forms， packaging materials， fill volume， and manufacturing enterprises. In response to practical challenges encountered in the selection process， corresponding countermeasures are proposed， such as establishing a regularized information reserve mechanism， strengthening information technology support， and implementing categorized selection approaches. The Consensus advocates for medical institutions to construct an integrated “policy， data， and quality” decision-making system to promote full-cycle management of centralized procurement. This Consensus will provide scientific and practical guidance for medical institutions at all levels in Guangxi in the drug selection of centralized procurement， facilitating the smooth implementation and sustainable development of centralized procurement policies at the institutional level.

Objective: To characterize perioperative dynamic changes in immune-cell phenotypes and inflammatory cytokines in patients undergoing CPB (cardiopulmonary bypass) cardiac surgery, and to explore their associations with postoperative outcomes. Methods: In this prospective cohort study, 120 adult patients who underwent elective cardiac surgery under CPB at West China Hospital from May 2022 to March 2023 were enrolled. Perioperative immune-cell phenotypes and concentrations of 40 inflammation-related cytokines were measured. The primary outcomes were the sequential organ failure assessment (SOFA) score at 24 h after surgery and ΔSOFA (the peak SOFA score within 48 h after surgery minus the preoperative SOFA score). Secondary outcomes included major adverse cardiovascular events (MACE), acute kidney injury (AKI), respiratory failure, severe liver injury, and infection. Results: The mean age of enrolled patients was 57±10 years. Of these, 52% (62/120) were male and 90% (108/120) underwent valve surgery. During the rewarming to the end of CPB, neutrophil counts rapidly increased (7.39×10 /L vs preoperative 3.07×10 /L, P<0.001), with significant upregulation of CD11b (7.30×10 /L vs preoperative 3.05×10 /L, P<0.001) and CD54 (7.15×10 /L vs preoperative 2.99×10 /L, P<0.001). Lymphocyte counts increased at the end of CPB (1.75×10 /L vs preoperative 1.12×10 /L, P<0.001) but decreased significantly at 24 h after surgery (0.59×10 /L vs preoperative 1.12×10 /L, P<0.001). Plasma analysis showed that multiple pro-inflammatory cytokines increased during CPB and remained elevated up to 24 h after surgery; five chemokines and the anti-inflammatory cytokine IL-10 peaked at the end of CPB. The SOFA score increased from 1 (1, 2) preoperatively to 7 (5, 10) at 24 h after surgery, with a ΔSOFA of 6 (4, 8). Within 30 days after surgery, 48 patients (40.0%) developed AKI, 17 (14.2%) developed infection, 4 (3.3%) developed severe liver injury, 3 (2.5%) developed respiratory failure, and 3 (2.5%) experienced MACE. During the 2-year follow-up, 8 patients (6.7%) experienced MACE and 5 (4.2%) died. Conclusion: Multi-organ dysfunction is common after cardiac surgery under CPB (median ΔSOFA, 6), accompanied by perioperative activation of multiple immune-cell subsets and upregulation of pro-inflammatory, anti-inflammatory, and chemotactic mediators. This study provides data-driven evidence and research clues for further investigation of the associations between CPB-related immune perturbations and postoperative organ dysfunction and clinical outcomes.

This article systematically reviews the current research status as well as diagnosis and treatment strategies of traditional Chinese medicine （TCM） for gastroesophageal reflux disease （GERD）. Studies demonstrate that TCM， based on the "disease-syndrome combination" approach， exhibits multi-target advantages in alleviating symptoms of various GERD subtypes， promoting mucosal repair， regulating emotions， and facilitating the reduction of western medication. To address clinical challenges such as symptom overlap and limited therapeutic efficacy， strategies have been proposed including "treating different diseases with the same method" and integrated regulation based on viscera correlation. Future efforts should focus on elucidating the mechanisms of compound prescriptions， promoting TCM drug development under the "three-combination" evaluation framework that integrates TCM theory， human experience and clinical trial evidence， and optimizing integrated traditional and western medicine models to enhance GERD management.

AIM: To explore the risk factors for postoperative anterior chamber exudation in cataract patients and construct a nomogram prediction model.METHODS: Retrospective study. From July 2019 to October 2024, 450 patients(467 eyes)with age-related cataract who underwent surgery in our hospital were collected as the study subjects. They were randomly grouped into a modeling group(315 cases, 327 eyes)and a validation group(135 cases, 140 eyes)roughly estimated at a 7:3 ratio using the random number table method. Both groups were separated into a non-exudative group and an exudative group based on whether anterior chamber exudation occurred after surgery. Clinical basic data was collected; multivariate Logistic regression was applied to analyze the influencing factors of anterior chamber exudation in patients with age-related cataract after surgery; R software was applied to draw a nomogram prediction model of anterior chamber exudation in patients with age-related cataract after surgery; the calibration curve and Hosmer Lemeshow(H-L)test were applied to evaluate the calibration of the column plot model in predicting the occurrence of anterior chamber exudation in patients with age-related cataract after surgery; ROC was applied to evaluate the efficacy of anterior chamber exudation in patients with age-related cataract after surgery.RESULTS:The clinical characteristics of the modeling group and the validation group were comparable. The high myopia, history of uveitis, preoperative intraocular pressure, lens nuclear grade, intraoperative cumulative dissipated energy, and intraoperative posterior capsular rupture of the lens were the influencing factors for postoperative anterior chamber exudation in patients with age-related cataract(all P<0.05). The results of the modeling group verifying the occurrence of anterior chamber exudation in patients with age-related cataract after surgery showed that the area under the ROC curve(AUC)was 0.986(95% CI: 0.966-0.996), the H-L test was χ2=6.494, P=0.592, indicating that the risk of anterior chamber exudation in patients with age-related cataract after surgery predicted by model had good consistency with actual risks, the AUC of postoperative anterior chamber exudation in patients with age-related cataract based on external validation was 0.982(95% CI: 0.960-0.994); and the H-L test suggested that the risk of anterior chamber exudation in CAT patients after surgery predicted by model had good consistency with actual risks(χ2=6.117, P=0.634).CONCLUSION:High myopia, history of uveitis, preoperative intraocular pressure, lens nuclear grade, intraoperative cumulative dissipated energy, and intraoperative posterior capsular rupture of the lens are risk factors for postoperative anterior chamber exudation in patients with age-related cataract; the nomogram prediction model constructed based on this has high predictive value, and can provide reference for individualized prevention of anterior chamber exudation in patients with age-related cataract after surgery.

The NOD-like receptor protein 3(NLRP3)inflammasome is essential in innate immune-mediated inflammation,with its overactivation implicated in various autoinflammatory,metabolic,and neurode-generative diseases.Pharmacological inhibition of NLRP3 offers a promising treatment strategy for in-flammatory conditions,although no medications targeting the NLRP3 inflammasome are currently available.This study demonstrates that clioquinol(CQ),a clinical drug with chelating properties,effec-tively inhibits NLRP3 activation,resulting in reduced cytokine secretion and cell pyroptosis in both human and mouse macrophages,with a half maximal inhibitory concentration(IC50)of 0.478 μM.Additionally,CQ mitigates experimental acute peritonitis,gouty arthritis,sepsis,and colitis by lowering serum levels of interleukin-1β(IL-1β),IL-6,and tumor necrosis factor-α(TNF-α).Mechanistically,CQ covalently binds to Arginine 335(R335)in the NACHT domain,inhibiting NLRP3 inflammasome assembly and blocking the interaction between NLRP3 and its component protein.Collectively,this study identifies CQ as an effective natural NLRP3 inhibitor and a potential therapeutic agent for NLRP3-driven diseases.

Autophagy is a cellular self-degradation process that maintains homeostasis and has been shown to promote tumor progression in advanced stages.Pancreatic cancer cells and the surrounding stromal cells exhibit high levels of autophagy.Therefore,targeting au-tophagy has emerged as a promising therapeutic strategy for pancreatic cancer.This review focuses on research targeting autophagy in pancreatic cancer treatment,elaborating on the roles and underlying mechanisms of autophagy in pancreatic cancer cell proliferation,metas-tasis,modulation of the tumor immune microenvironment,and drug resistance.Additional-ly,we summarize preclinical and clinical studies investigating autophagy-targeted therapies both as monotherapy and in combination with other treatments,aiming to provide new theo-retical rationale and therapeutic strategies for pancreatic cancer management.

Objective To investigate the relationship between the threonine and tyrosine kinase(TTK)gene and eyelid basal cell carcinoma(BCC).Methods Bioinformatics methods were used to screen the core gene(namely,TTK)associated with the occurrence and development of BCC from the Gene Expression Omnibus(GEO)database.Surgically removed eyelid BCC tissue specimens(BCC cells were divided into BBC Grade Ⅰ,Ⅱ and Ⅲ groups by tumor grade)and be-nign tumor tissue specimens(Control group)were collected from Ziyang Central Hospital for subsequent experiments.Cel-lular immunofluorescence assay(CIA)was used to detect the expression of the TTK gene in benign and malignant eyelid tumor cells.After knocking down TTK in BCC cells through transfection with lentiviruses(the cells transfected with LV-TTK-shRNA were taken as the TTK-shRNA group,and those transfected with LV-BBC-shRNA were taken as the BBC nega-tive control group),CIA was used to detect the expression of key proteins Bcl-2 and Bax in the apoptotic signaling pathway of each group of cells.Results The bioinformatics analysis showed that the TTK gene was the core gene associated with the occurrence and development of eyelid BCC.CIA detection results revealed that the fluorescence signal intensities in the tumor cytoplasm of Control,BCC Grade Ⅰ,Ⅱ,and Ⅲ groups were 1.03±0.07,1.28±0.11,1.58±0.13 and 1.92±0.17,respectively.The fluorescence signal intensity gradually increased,and the difference in fluorescence signal intensity among the four groups was statistically significant(all P＜0.05).Compared with that in the Control group(1.02±0.05),the cell fluorescence intensity was increased in the BCC negative control group(1.74±0.12)and decreased in the TTK-shRNA group(1.31±0.09)(P＜0.05).The difference in cell fluorescence intensity was significant among the Control,BCC nega-tive control and TTK-shRNA groups(all P＜0.05).The fluorescence intensity of the anti-apoptotic protein Bcl-2 was 1.04±0.12 in the Control group,2.12±0.23 in the BCC negative control group,and 1.43±0.15 in the TTK-shRNA group.The fluorescence intensity of the pro-apoptotic protein Bax was 1.02±0.08 in the Control group,0.64±0.11 in the BCC negative control group,and 1.47±0.16 in the TTK-shRNA group.After TTK knockdown,the expression level of BcL-2 in BCC cells decreased,and that of Bax increased.The fluorescence intensities of BcL-2 and Bax were significantly different among the Control,BCC negative control and TTK-shRNA groups(all P＜0.05).Conclusion The TTK gene plays a role in the regulation of eyelid BCC cell proliferation,and this effect is closely related to the PI3K-AKT-Bcl-2/Bax signaling path-way.

This article reported a case of a newborn with congenital absence of the penis. The prenatal examinations were unremarkable. Physical examination of the newborn revealed abnormal external genitalia, with well-developed scrotum and fully descended testicle in normal size, but without the penis. Postnatal ultrasound showed no obvious signals of uterus and ovaries in pelvis and had normal bilateral testicles and urinary system. The diagnosis was congenital absence of the penis.

OBJECTIVE To explore the effect of Astragali Radix-Curcuma Zedoaria-Paridis Rhizoma(Qi-Zhu-Zao)combina-tion on inhibiting the growth and metastasis of colon cancer based on the PINK1/Parkin/EMT signaling pathway.METHODS Thirty male BALB/c mice were randomly assigned to five groups:sham operation group,model group,positive control group,high-dose Qi-Zhu-Zao group(5.85 g·kg-1),and low-dose Qi-Zhu-Zao group(2.925 g·kg-1),with six mice in each group.An orthotopic colon cancer model was established in the mice using CT26.WT cells.After 15 days of treatment,tumor and liver tissues were collected from each group.Hematoxylin and eosin(HE)staining was performed to assess tumor metastasis,and transmission electron microscopy was used to observe mitochondrial autophagy in tumor tissues.The expression of mitochondrial autophagy-related proteins PINK1,Parkin,p62,and LC3-Ⅱ/LC3-Ⅰ was analyzed using Western blot and immunohistochemistry(IHC).Additionally,the expression levels of epithelial-mesenchymal transition(EMT)-related proteins and mRNA,including E-cadherin,N-cadherin,Vimentin,and Snail,were detected using Western blot,qPCR,and IHC staining.RESULTS Compared to the model group,mice in the treatment groups exhibited significantly reduced tumor volumes and fewer metastatic foci.Additionally,liver tissues showed pathological changes,and the overall growth condition of the mice was markedly improved;the tumor tissues in the treatment groups displayed selective mitochon-drial autophagy,accompanied by the formation of autophagosomes.The treatment influenced the PINK1/Parkin pathway-mediated mi-tochondrial autophagy biological process,with PINK1,Parkin,p62,and LC3-Ⅱ/LC3-Ⅰ levels being significantly upregulated(P<0.05,P<0.01),the high-dose group exhibited a more significant impact than the low-dose group(P<0.05,P<0.01).Furthermore,the treatment groups also showed significant reductions in the protein and mRNA levels of N-cadherin,Vimentin,and Snail(P<0.05,P<0.01),along with significant increases in the protein and mRNA levels of E-cadherin(P<0.05,P<0.01),these effects were more pronounced in the high-dose group compared to the low-dose group(P<0.05,P<0.01).CONCLUSION The herbal combination of Qi-Zhu-Zao inhibits tumor growth and metastasis to a certain extent in a mouse model of orthotopic transplantation of colon cancer.The underlying mechanism may involve the restoration of mitochondrial function through the PINK1/Parkin signaling pathway and the inhibition of the epithelial-mesenchymal transition(EMT)process,thereby achieving a therapeutic effect on colon cancer.

Objective To compare and find an optimal model for predicting the risk of DKD occurrence in patients with type 2 diabetes mellitus(T2DM).Methods A total of 2005 patients with T2DM were enrolled in this study from The Second Hospital of Shijiazhuang City during December 2017 to December 2022.All the subjects were divided into a training set(n=1403)and a validation set(n=602)according to the ratio of 3∶1 by simple random sampling.With the occurrence of DKD as the outcome variablein the training set,important feature variables were screened by LASSO regression.Six different machine learning models were established according to the feature variables,thenthe optimal model was determined by comparison,and anonlinerisk predictor for DKD occurrence was constructed in patients with T2DM.Results Taking the occurrence of DKD as the outcome variable in the training set,the results of LASSO regression analysis showed that the optimal value of the model was 10-fold cross validation lambda.1se=0.01662473,and 15 characteristic variables with nonzero coefficient were screened out to be related to the occurrence of DKD.The data included sex,age,family history of DM,DM duration,LDL-C,HbA1c,WBC,PDW,Scr,urine α1-microglobulin,urine β2-microglobulin,urine microalbumin,hypertension,hypokalemia,and DR.In the training set and validation set,the prediction performance of XGBoost model was better than that of other models(AUC=0.872,0.893,95%CI 0.853～0.891,0.865～0.921),the sensitivity was 0.779,0.863,and the specificity was 0.721,0.758,respectively.The F1 scores were 0.774 and 0.787.DCA analysis showed that the XGBoost model had a greater net benefit and threshold probability.According to the XGBoost model,the online predictor of DKD risk in T2DM patients was laid out,and two patients were selected for application,the results showed that the predictive value of the model was 0.185 in non-DKD patients,and the predictive value was 0.510 in DKD patients.Conclusions The XGBoost model is the best model for predicting the occurrence of DKD in T2DM patients,and an online predictor was successfully built.