Objective:To analyze the condition of subclinical atherosclerosis (SCA) in patients with psoriatic arthritis (PsA) and to provide a reference for better management of the associated cardiovascular risk in patients with PsA.Methods:Based on the cohort of PsA patients (PKUPsA) in the Department of Rheumatism and Immunology, Peking University First Hospital, 240 PsA patients without previous clinical atherosclerotic disease between July 2018 and June 2024 were included. The demographic data traditional cardiovascular disease risk factors, PsA related indicators and medications were collected when all patients were entered into the cohort. Increased intima-media thickness and/or arterial plaque formation in bilateral carotid arteries examined by ultrasonography are defined as the presence of SCA. Based on this, patients were divided into SCA and no SCA groups, and the two groups were compared and analyzed. Statistics were performed using the Mann-Whitney U test, independent sample t test, χ2 test and Logistic regression analysis. Results:Eighty-five of 240 patients (35.4%) had SCA, including 55 (22.9%) with cIMT thickening and 51 (21.2%) with carotid plaque. Compared with the PsA patients without SCA, patients with SCA were older [55.0 (42.0, 62.5) vs. 42.0(35.0, 53.0) year of age, Z=-4.90, P<0.001], had longer disease course of arthritis [4.6 (1.0, 10.1) vs. 3.0(1.0, 6.1) years, Z=-1.98, P=0.048], more patients with combined hypertension [34.1%(29/85) vs. 15.5%(24/155), χ2=11.08, P<0.001], hyperlipidemia [47.1%(40/85) vs. 27.1%(42/155), χ2=1.22, P=0.002] and the taking of statins [14.1%(12/85) vs. 5.8%(9/155), χ2=4.75 , P=0.029], hypoglycemic agents [10.6%(9/85) vs. 3.9%(6/155), χ2=4.23, P=0.040] and antihypertensive drugs [17.6%(15/85) vs 6.5%(10/155), χ2=7.37, P=0.007]. They also had a higher blood glucose level[5.37 (5.17, 6.09)mmol/L vs. 5.26(4.97, 5.67)mmol/L, Z=-2.82 , P=0.005], low-density lipoprotein [(3.05± 0.76)mmol/L vs. (2.78±0.75)mmol/L, t=2.60, P=0.010] and blood uric acid level[351 (312, 412)μmol/L vs. 333(279, 408)μmol/L, Z=-2.10, P=0.036]. Multivariate analysis showed that older [ OR (95% CI) =1.059 (1.033, 1.086), P<0.001], increased low density lipoprotein [ OR (95% CI) =1.519 (1.018, 2.267), P=0.041] and increased blood uric acid levels [ OR (95% CI)=1.004 (1.001, 1.007), P=0.017] were an independent risk of SCA in PsA patients. Conclusion:More than 1/3 of PsA patients with SCA without past history of clinical atherosclerosis with SCA, advanced age, increased blood low density lipoprotein level, and elevated uric acid level are independent risk factors for PsA with SCA, so attention should be paid to the assessment and management of cardiovascular-related risk. Early intervention can help to improve patient prognosis.

Objective:To analyze the serological and molecular characteristics of rare A el and B el subtypes in the ABO blood group system, and to explore their genotype-phenotype correlation and the potential clinical significance. Methods:From January 1st, 2021, to January 1st, 2025, 289, 815 samples subjected to ABO blood grouping in Henan Provincial People′s Hospital were selected. Samples demonstrating discrepancies between forward and reverse typing, or consistent typing but with abnormal agglutination degree were included. Those affected by underlying diseases, transplantation, age-related and other interferences were excluded. A total of 169 suspected ABO subgroup samples were identified. Sanger sequencing of exons 1-7 and relevant regulatory regions of the ABO gene was performed. Protein structure modeling and mutation effect analysis for two'el′ subtype glycosyltransferases (GTs) were conducted using SWISS-MODEL and PyMOL.Results:A total of 12 Ael, 6 B el, and 2 AB el subtypes were identified. Serological analysis revealed that all 18 A el/B el samples exhibited O phenotype in forward typing. Among them, A el subtypes showed weaker agglutination in reverse typing with A 1c than with Bc (>2+), while the opposite pattern was observed in B el subtypes. The two AB el samples were typed as A in forward typing, with agglutination ranging from 0-1+with Bc in reverse typing. Genetic analysis indicated that AEL.02 (c.646T>A, p.Phe216Ile) was the predominant allele in A el samples accounting for 7 cases. Also, we found an AEL.02-like variant (lacking c.681G>A), AEL.10 (c.963insC), and carrying a compound variant of c.322C>T (p.Gln108Ter) and c.296C>T (p.Thr99Ile). Among B el samples, BEL.03 (c.502C>T, p.Arg168Trp) accounted for 4 cases, one of which lacked the c.297A>G mutation, and novel mutations such as c.145_146dupCG were detected. Structural simulation demonstrated that AEL.02 and BEL.03 disrupted the hydrogen-bonding network within the active centers of GTA and GTB, respectively, and these mutations probably significantly impaired the structural stability of the corresponding GTs. Additionally, the c.296C>T mutation also markedly affected GTA structural stability. Conclusion:A el/B el subtypes are prone to mis-identify routine blood types. Their molecular mechanisms involved a variety of functional variantions, and integrating molecular detection is crucial for achieving accurate sub-typing and transfusion safety.

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*

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.

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 evaluate the efficacy,safety and economy of three Janus kinase inhibitors in the treatment of rheumatoid arthritis(RA)using a rapid health technology assessment method,and to provide a basis for drug access and rational clinical use.Methods PubMed,Cochrane Library,Embase,CNKI,WanFang Data databases and the official websites of foreign health technology assessment(HTA)institutions were searched electronically to collect HTA reports,systematic reviews/Meta-analysis and pharmacoeconomics studies of tofacitinib,baricitinib,and upadacitinib in the treatment of RA from inception to December 31,2024.Two reviewers independently screened the literature,extracted information and performed quality assessment of the included studies,and then performed descriptive analysis on the results.Results A total of 16 literature were included,including 12 systematic reviews/Meta-analysis and 4 pharmacoeconomic studies.In terms of efficacy,taking the American College of Rheumatology(ACR)evaluation criteria for symptom relief 20％(ACR20),ACR50,ACR70 and disease activity score 28(DAS28)＜2.6 response rates as the efficacy indicators,upadacitinib 30 mg and upadacitinib 15 mg had better effectiveness in the treatment of RA patients.In terms of safety,the incidence of adverse drug events was the lowest in RA patients treated with 15 mg of upadacitinib.The incidence of serious adverse drug events in RA patients treated with tofacitinib 5 mg was the lowest.In terms of economy,compared with tofacitinib and baricitinib,upadacitinib 15 mg was the most economical.Conclusion Upadacitinib 15 mg has better efficacy,safety and economy in the treatment of RA patients.