ObjectiveTo explore the clinical efficacy and safety of Da Chaihutang （DCH） for the treatment of sepsis with Yang syndrome. MethodsA total of 70 patients suffering from sepsis with Yang syndrome were randomly divided into an observation group and a control group， with 35 cases in each group. They both received standard Western medicine treatment. The observation group was additionally given a dose of DCH， which was boiled into 100 mL and taken twice. The control group was additionally given an equal volume and dosage of warm water. The intervention lasted for three days. The 28-day all-cause mortality and the changes in the following indicators before and after intervention were compared between the two groups， including sequential organ failure assessment （SOFA）， acute physiology and chronic health evaluation Ⅱ （APACHE Ⅱ） score，white blood cell （WBC），the percentage of neutrophils （NEU%），C-reactive protein （CRP），procalcitonin （PCT），alanine transaminase （ALT），aspartate transaminase （AST），total bilirubin （TBil），creatinine （Cr），blood urea nitrogen （BUN），acute gastrointestinal injury （AGI） grade，gastrointestinal dysfunction score （GDS），serum intestinal fatty acid-binding protein （iFABP）， citrulline （CR），platelet （PLT），prothrombin time（PT），activated partial thromboplastin time （APTT），fibrinogen （Fib），international normalized ratio （INR），and D-dimer （D-D）. ResultsThere was no significant difference between the two groups regarding 28-day all-cause mortality. After the intervention，SOFA，WBC，PCT，and Cr were significantly decreased， and PLT was significantly increased in the control group （P<0.05）. SOFA，APACHE Ⅱ，NEU%，CRP，PCT，ALT，AST，Cr，BUN，AGI grade，GDS，and serum iFABP and CR were significantly improved in the observation group （P<0.05）. After the intervention，APACHE Ⅱ，PCT，AGI grade，GDS，and serum iFABP in the observation group were significantly lower than those in the control group ，while CR and PLT were higher （P<0.05，P<0.01）. There were significant differences regarding the gap of SOFA，APACHE Ⅱ，AST，TBil，AGI grade，GDS，iFABP，CR， and PLT between the two groups （P<0.05，P<0.01）. There were slight differences regarding PT，APTT，Fib，INR，and D-D between the two groups，which were in the clinical normal range. ConclusionOn the basis of Western medicine， DCH helped to reduce sepsis severity and improved multiple organ dysfunction with high clinical efficacy and safety， but further research on its impact on the prognosis of patients with sepsis is still required.

BACKGROUND:Fibromyalgia syndrome,as a common rheumatic disease,is related to central sensitization and immune abnormalities.However,the specific mechanism has not been elucidated,and there is a lack of specific diagnostic markers.Exploring the possible pathogenesis of this disease has important clinical significance. OBJECTIVE:To screen the potential diagnostic marker genes of fibromyalgia syndrome and analyze the possible immune infiltration characteristics based on bioinformatics methods,such as weighted gene co-expression network analysis(WGCNA),and machine learning. METHODS:Gene expression profiles in peripheral serum of fibromyalgia syndrome patients and healthy controls were obtained from the gene expression omnibus(GEO)database.The differentially co-expressed genes were screened in the expression profile by differential analysis and WGCNA analysis.Least absolute shrinkage and selection operator(LASSO)and support vector machine-recursive feature elimination(SVM-RFE)machine learning algorithm were further used to identify hub biomarkers,and draw receiver operating characteristic curve(ROC)to evaluate the accuracy of diagnosing fibromyalgia syndrome.Finally,single sample gene set enrichment analysis(ssGSEA)and gene set enrichment analysis(GSEA)were used to evaluate the immune cell infiltration and pathway enrichment in patients with fibromyalgia syndrome. RESULTS AND CONCLUSION:Eight down-regulated differentially expressed genes(DEGs)were obtained after differential analysis of the GSE67311 dataset according to the conditions of log2|(FC)|>0 and P<0.05.After WGCNA analysis,497 genes were included in the module(MEdarkviolet)with the highest positive correlation(r=0.22,P=0.04),and 19 genes were included in the module(MEsalmon2)with the highest negative correlation(r=-0.41,P=6×10-5).After intersecting DEGs and the module genes of WGCNA,seven genes were obtained.Four genes were screened out by LASSO regression algorithm and five genes were screened out by SVM-RFE machine learning algorithm.After the intersection of the two,three core genes were identified,which were germinal center associated signaling and motility like,integrin beta-8,and carboxypeptidase A3.The areas under the ROC curve of the three core genes were 0.744,0.739,and 0.734,respectively,indicating that they have good diagnostic value and can be used as biomarkers for fibromyalgia syndrome.The results of immune infiltration analysis showed that memory B cells,CD56 bright NK cells,and mast cells were significantly down-regulated in patients with fibromyalgia syndrome compared with the control group(P<0.05),and were significantly positively correlated with the above three biomarkers(P<0.05).The enrichment analysis suggested that there were nine fibromyalgia syndrome enrichment pathways,mainly related to olfactory transduction pathway,neuroactive ligand-receptor interaction,and infection pathway.The above results showed that the occurrence and development of fibromyalgia syndrome are related to the involvement of multiple genes,abnormal immune regulation,and multiple pathways imbalance.However,the interactions between these genes and immune cells,as well as their relationships with various pathways need to be further investigated.

Traditional Chinese medicine of Polygonum cuspidatum has been utilized in China for thousands of years. Its primary active compound, polydatin, exhibits a variety of pharmacological effects including the regulation of glucose and lipid metabolism, suppression of cough and asthma, as well as antibacterial and anti-inflammatory properties. However, conventional methods for polydatin production are inadequate to satisfy the market demand. This study aims to explore the green and efficient preparation of polydatin. With resveratrol as the substrate, we efficiently synthesized polydatin by using the triple mutant IGW (Y14I/I62G/M315W) of the glycosyltransferase UGT_BS based on a strategy of two-enzyme coupled with one-pot and realized the recycling of uridine diphosphate-glucose (UDPG). The conditions of the two-enzyme reaction were optimized. Under the conditions of 35 ℃, pH 8.0, IGW: AtSuSy1 activity ratio of 3:4, dimethyl sulfoxide (DMSO) volume fraction of 5%, uridine diphosphate (UDP) concentration of 0.10 mmol/L, and sucrose concentration of 0.6 mol/L, the conversion of 2 mmol/L resveratrol reached 80.6% within 1 h, and the proportion of polydatin was over 90%. This study achieved the recycling of UDPG via a two-enzyme coupling system and shortened the reaction time. At the same time, the fed-batch strategy was adopted, and the yield of polydatin reached 6.28 g/L after 24 h in the one-pot coupling reaction, which provided a new strategy for green and efficient preparation of polydatin.
Stilbenes/chemistry* ; Glucosides/biosynthesis* ; Resveratrol ; Fallopia japonica/chemistry* ; Glycosyltransferases/genetics*

As a member of the Chinese Medical Association (CMA) journal series, Cancer Research and Clinic has consistently adhered to editorial standards established by CMA, striving to enhance academic quality and continuously improve its academic level and influence. It has now become one of the important academic publications in the field of oncology in China. The journal primarily reflects research achievements and academic trends in oncology, serving as an academic exchange platform for clinicians and researchers in the feild of oncology. On the 110th anniversary of the founding of CMA, the journal will be true to the original aspiration, keep the mission firmly in mind, and continue to make due contributions to the development of the prevention and treatment of malignancies in China. This article reviews the journal's developmental history, highlights its accomplishments, and outlines its vision for future growth in the new era.

Objective:To establish and assess the quality control and improvement system for metabolic and bariatric surgery in Beijing.Methods:Based on relevant documents from the National Health Commission and the Beijing Municipal Health Commission,and referencing the Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program (MBSAQIP) by the American Society for Metabolic and Bariatric Surgery,a quality control system was developed under the Beijing Quality Control and Improvement Center of Metabolic and Bariatric Surgery. The system incorporated on-site evaluations,data registration,and specialized training. From May to December 2023,on-site assessments were conducted at 21 hospitals in Beijing performing bariatric surgery,evaluating personnel qualifications,infrastructure,clinical workflows,and postoperative follow-up. A quality control database was created to collect real-time surgical data,and training was provided for data entry and professional skills. Assessment results were classified as excellent,qualified,or needing improvement,with rectification suggestions offered and follow-up visits conducted to track progress.Results:All 21 hospitals achieved a 100% compliance rate for surgical indications, 16 (76.2%) met standardized surgical operation criteria,and 14 (66.7%) had standardized postoperative management. However,only 5 (23.8%) achieved a 12-month postoperative follow-up rate of ≥60%,and 4 (19.1%) had established specialized databases. Key challenges included insufficient specialized staffing (19.1%), lack of multidisciplinary collaboration (47.6%), inadequate equipment (57.1%), and low follow-up rates (57.1%). The database collected data from over 2 000 patients across 111 fields. After rectification, specialized database coverage rose to 61.9% (13 hospitals). Multi-level training programs developed backbone physicians and specialized nurses,significantly addressing the shortage of specialized personnel.Conclusion:The quality control system established in this study,through the integration of on-site evaluation,data registration,and specialized training,effectively enhances the standardization of surgical practices and data management capabilities.

Objective To screen long non-coding RNA(lncRNA)associated with lymph node metasta-sis in papillary thyroid carcinoma(PTC)and verify its function in vitro,so as to provide a theoretical basis for elucidating the molecular mechanism of lymph node metastasis in PTC.Methods lncRNA+mRNA microar-ray was used to detect the differential expression of lncRNA and mRNA in PTC cancer tissues with and with-out lymph node metastasis.Real time fluorescence quantitative PCR(qPCR)verified target differential lncR-NAs.Lentivirus was used as vector to construct high and low lncRNA expression PTC cell lines.Cell counting kit-8(CCK-8),cell scratches assay,Transwell assay,cell clone formation assay were used to detect the effects of target lncRNA on proliferation,migration,invasion,clonal formation of PTC cells.Results Compared with 5 cases of PTC tissues without lymph node metastasis,gene chips detected 119 lncRNA and 53 mRNA expres-sion levels upregulated,while 263 lncRNA and 198 mRNA expression levels down regulated in 5 cases of PTC tissues with lymph node metastasis.Furthermore,21 lncRNAs were selected for validation in the original 10 PTC samples,and the results showed that,compared with PTC tissues without lymph node metastasis,lncR-NAs FLJ20444,DPP10-AS1 and ENST00000567197 were highly expressed in PTC tissues with lymph node metastasis,while uc021thd.1,LNC00944,ENST00000429730 and BLNK were lowly expressed(P＜0.05).In addition,qPCR results of another 30 fresh PTC tissues showed that compared with PTC tissues without lymph node metastasis,DPP10-AS1 was highly expressed and LNC00944 was lowly expressed in PTC tissues with lymph node metastasis(P＜0.05).Cell function experiments showed that the proliferation,migration,invasion,and colony formation abilities of PTC cells in the DPP10-AS1 high expression group were higher than those in the DPP10-AS1 low expression group,and the differences were statistically significant(P＜0.05).Conclusion lncRNA DPP10-AS1 may play a role in PTC metastasis through certain signaling pathways.

Postoperative delirium(POD),as a highly prevalent acute neurological complication after cardiac surgery,has become a key challenge in perioperative management as it is significantly associated with adverse outcomes such as prolonged hospital stay,delayed functional recovery and increased mortality.With the expansion of medical data scale and the advancement of artificial intelligence technology,machine learning-based POD risk prediction models,with their advantages of efficiently integrating multi-dimensional data and analysing complex non-linear relationships,provide a new avenue for early detection and intervention of POD.Existing studies have shown that supervised learning and integration algorithms can significantly improve pre-diction performance through feature screening and weight optimisation,but model construction still faces chal-lenges such as high data heterogeneity and sample bias.Although external validation is a key link to promote clinical translation of models,barriers to inter-centre data sharing and privacy issues limit their practical appli-cation.In addition,current research generally suffers from shortcomings such as insufficient model interpret-ability,real-time prediction delay,and limited clinical adaptability.This article systematically reviewed the ap-plication progress,potential,and limitations of machine learning in predicting POD risks in cardiac surgery,providing multidimensional theoretical support for building a precise and personalized perioperative risk man-agement system.The aim is to promote the upgrading of clinical decision-making systems,improve patient prognosis,and achieve intelligent allocation of medical resources.

Objective To analyze the distribution of serum food specific immunoglobulin(Ig)E and IgG antibodies in patients with adverse food reactions in Qingdao area.Methods The specific IgE test results of 4 199 patients with suspected food allergy and the specific IgG test results of 741 patients with food intoler-ance were collected from the Affiliated Hospital of Qingdao University from 2012 to 2022.A total of 4 199 pa-tients with suspected food allergy(2 308 males and 1 891 females)were enrolled in this study.According to the age,the patients were divided into infancy(＜1 year old)205 cases,early childhood(1-＜3 years old)1009 cases,childhood(3-＜14 years old)1 946 cases,adolescence(14-＜18 years old)99 cases,youth(18-＜40 years old)554 cases,middle age(40-＜65 years old)329 cases and old age(≥65 years old)57 cases.A to-tal of 741 patients with food intolerance(469 males and 272 females)were enrolled in this study.According to the age,the patients were divided into 81 cases in infancy(＜1 year old),298 cases in early childhood(1-＜3 years old)and 362 cases in childhood(3-＜14 years old).Enzyme-linked immunosorbent assay was used to detect the positive rates of IgE and IgG antibodies in serum of patients,and the positive rates of IgE and IgG antibodies in patients with different gender and age were compared.Results Egg white and cow's milk were the most sensitive foods in infants and young children.The positive rate of specific IgE antibody decreased gradually with the increase of age,and increased slightly in old age.The positive rate of specific IgE antibody in shrimp and crab increased first and then decreased with age,and it was higher in young and middle age.The tolerance of infants and children to meat and crustaceans was relatively strong,and the positive rate of food specific IgG to fish was higher than that to meat(P＜0.05).The positive rate of tomato-specific IgG was the highest in infancy and gradually decreased with age(P＜0.05).Conclusion With the increase of age and the change of dietary structure,the positive rate of food specific IgG antibody may change significantly.Clinicians should accurately grasp the epidemiological characteristics of food adverse reactions in this area,and adjust and optimize the diet structure of patients to make correct diagnosis and treatment.

Objective To analyze the predictive value of apolipoprotein B(apoB)and apoB to apolipoprotein A1(apoA1)ratio(apoB/A1)in acute myocardial infarction(AMI)of phlegm blended with blood stasis syndrome.Methods A total of 200 patients with AMI confirmed by coronary angiography in Foshan Hospital of Traditional Chinese Medicine during the trial period were collected.Data collection covered the basic information of gender,age,medical history of hypertension,coronary heart disease and diabetes mellitus,and smoking history,the information of four diagnostic methods of traditional Chinese medicine(TCM),and relevant indicators of blood lipids,the number of lesioned branches of coronary arteries and the Gensini scores.The predictive value of apoB and apoB/A1 for AMI of phlegm blended with blood stasis syndrome was explored by univariate Logistic regression analysis and multivariate Logistic regression analysis as well as by plotting the Receiver Operating Characteristic(ROC)curves.Results(1)Among the 200 AMI patients,41 cases were differentiated as qi deficiency and blood stasis syndrome,36 cases as qi stagnation and blood stasis syndrome,74 cases as phlegm blended with blood stasis syndrome,and 49 cases as other syndromes(including 16 cases of cold accumulation in heart vessels syndrome,22 cases of qi and yin deficiency syndrome,and 11 cases of healthy-qi deficiency and yang collapse syndrome).(2)The difference of Gensini scores among the patients with various TCM syndrome types were statistically significant(H=43.735,P=0.000<0.001).And the Gensini scores in the patients with syndromes of qi deficiency and blood stasis,qi stagnation and blood stasis,and phlegm blended with blood stasis were relatively high,being 60.0(43.0,87.0),70.0(48.5,84.0)and 65.0(40.0,95.0)points,respectively,which were higher than that of the other TCM syndrome types[44.0(32.0,64.0)points].The pairwise comparison between various TCM syndrome types showed that the differences were statistically significant(P<0.05).However,there was no statistically significant difference in the number of lesioned branches of coronary arteries among the patients with various TCM syndrome types(H=1.180,P=0.758>0.05).(3)The results of correlation analysis showed that the number of lesioned branches of coronary arteries,Gensini score and apoB/A1 were significantly and positively correlated(r=0.140,P=0.049<0.05;r=0.205,P=0.004<0.01).(4)The results of univariate Logistic regression analysis and multivariate Logistic regression analysis showed that apoB and apoB/A1 were the independent risk factors for phlegm blended with blood stasis syndrome(P<0.01).ROC curve analysis showed that apoB/A-1 exerted a high predictive value for AMI of phlegm blended with blood stasis syndrome,with high sensitivity and specificity.Conclusion It is indicated that ApoB/A1 can be used as an objective indicator for predicting AMI of phlegm blended with blood stasis syndrome in clinical practice.