Objective:To discuss the influencing factors of angina pectoris in the patients with diabetes mellitus(DM),to construct a Bayesian network model to explore the network relationships among the influencing factors,and to predict the risk of angina pectoris in the patients with DM.Methods:Based on the UK Biobank(UKB)database,the Logistic regression aralysis model was used to screen the influencing factors of angina pectoris in the patients with DM.The taboo search algorithm was used for structure learning,and the Bayesian parameter estimation method was used for parameter learning to construct the Bayesian network model.Results:A total of 22 712 DM patients were included.The influencing factors of angina pectoris in the patients with DM included 14 variables:gender,age,body mass index(BMI),triglycerides(TG),total cholesterol(TC),glycated hemoglobin(HbA1c),hypertension,maternal smoking around delivery,smoking status,alcohol consumption,regular exercise,insomnia,sleep duration,and childhood relative body size(P<0.05).A Bayesian network model was constructed with 15 nodes and 22 directed edges.Among them,age,HbA1c,hypertension,regular exercise,BMI,and sleep duration were directly associated with the occurrence of angina pectoris in the patients with DM,while gender,smoking status,alcohol consumption,TC,TG,insomnia,childhood relative body size,and maternal smoking around delivery were indirectly associated with the occurrence of angina pectoris in the patients with DM.Conclusion:Age,HbA1c,hypertension,regular exercise,BMI,and sleep duration are direct influencing factors of angina pectoris in the patients with DM.Controlling HbA1c,blood pressure,and BMI levels,engaging in regular exercise,and maintaining appropriate sleep duration are beneficial for reducing the risk of angina pectoris in the patients with DM.

Objective:To screen the Alzheimer's disease(AD)-related genes and construct its diagnostic model using bioinformatics technology and machine learning(ML)algorithms,to discuss the immunological characteristics of AD patients,and to provide novel biomarkers for AD diagnosis.Methods:The AD-related gene expression dataset GSE125583 was downloaded from the Gene Expression Omnibus(GEO)database.Differentially expressed genes(DEGs)were identified through differential analysis.Gene Ontology(GO)functional enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG)signaling pathway enrichment analyses were performed to explore the biological functions and signaling pathways of DEGs.A protein-protein interaction(PPI)network was constructed,and hub genes were screened using Cytoscape software combined with three ML algorithms:Least Absolute Shrinkage and Selection Operator(LASSO),eXtreme Gradient Boosting(XGBoost),and Random Forest(RF).The screened hub genes were utilized to build an AD diagnostic model via RF,followed by feature importance ranking.The model's efficacy and key genes were evaluated using a test set.Single-sample gene set enrichment analysis(ssGSEA)was used for immune cell infiltration analysis between AD group and control group.Results:Differential analysis identified 1 287 DEGs.The GO functional enrichment analysis results revealed that DEGs were primarily involved in biological functions related to neural signaling,synapses,and vesicles.KEGG signaling pathway enrichment analysis indicated significant enrichment of DEGs in ion transport,neurotransmitter,and ligand-gated channel pathways.Nine overlapping hub genes were screened by the three ML algorithms.In the AD diagnostic model,the top four key genes with highest diagnostic performance were adenylate cyclase-activating polypeptide 1(ADCYAP1),brain-derived neurotrophic factor(BDNF),platelet-derived growth factor receptor β(PDGFRB),and C-X-C motif chemokine receptor 4(CXCR4),with corresponding area under the curve(AUC)values of 0.852,0.795,0.820,and 0.756,respectively.The model achieved an AUC of 0.828,accuracy of 81.25%,sensitivity of 84.40%,and specificity of 71.43%.The immune cell infiltration analysis results demonstrated higher infiltration of macrophages,monocytes,natural killer(NK)cells,and lymphocytes in AD tissue.Among these,NK/natural killer T(NKT)cells and plasmacytoid dendritic cells showed significant correlations with the four key genes(P<0.05).Conclusion:The feature genes screened based on bioinformatics and ML exhibit diagnostic potential for AD.Genes such as ADCYAP1 may serve as potential biomarkers for AD diagnosis,offering significant implications for early prevention and treatment.

Objective: To investigate the causal relationship between antioxidant nutrients and pregnancy complications, so as to provide the reference for the prevention and treatment of pregnancy complications. Methods: Data of seven antioxidant nutrients including vitamin A, vitamin C, vitamin E, selenium, zinc, copper and iron were collected from genome-wide association study (GWAS) Catalog database, and data of four pregnancy complications including gestational diabetes mellitus, pre-eclampsia, spontaneous abortion and preterm birth were collected from the Finland database. Single nucleotide polymorphism (SNP) data were collected, and 27 SNPS strongly correlated with seven antioxidant nutrients were selected as instrumental variables. Mendelian randomization (MR) analyses were performed using the inverse-variance weighted (IVW) method with seven antioxidant nutrients as exposures factors and four pregnancy complications as outcome variables. The heterogeneity was assessed using the Cochran's Q test, the horizontal pleiotropy was assessed using the MR-PRESSO test and MR-Egger regression, and the robustness of the results was verified with the leave-one-out. Results: Cochran's Q test showed heterogeneity of MR results between vitamin C and gestational diabetes mellitus, preeclampsia and preterm birth, between vitamin E and iron and gestational diabetes (all P<0.05), and a random effect model was employed. There was no heterogeneity in other results (all P>0.05), and a fixed effect model was employed. MR analysis results showed that there was no causal association between seven antioxidant nutrients and the risk of four pregnancy complications (all P>0.05). MR-PRESSO test and the MR-Egger regression identified no horizontal pleiotropy of instrumental variables (both P>0.05). Conclusion This study did not find genetically predicted associations of antioxidant nutrients with pregnancy complications.

OBJECTIVE To optimize the steaming and processing technology of wine-steamed Taxillus chinensis， and to characterize its quality. METHODS Using the content of avicularin， quercitrin， quercetin and appearance traits as evaluation indicators， the analytic hierarchy process （AHP）-entropy weight method was used to determine the weights of each indicator， and the comprehensive scores of those indicators were used as response values. Box-Behnken response surface method was used to investigate the effects of solid-liquid ratio （g/mL）， soaking time， and steaming time on the processing technology of wine-steamed T. chinensis， optimize the best processing technology， and verify it. Fifteen batches of T. chinensis decoction pieces from different origins were used to prepare wine-steamed T. chinensis using the best processing technology， and their qualities were characterized. RESULTS The optimal processing technology for wine-steamed T. chinensis was to take 100 g of T. chinensis decoction pieces， add 20 mL of yellow wine， seal and moisten for 2 h， steam at normal pressure for 1 h， take out and dry at 50 ℃. The surface of wine-steamed T. chinensis prepared by the optimal processing technology was reddish brown or brownish， and its powder was dark brown， with a hard or brittle texture that was easy to break， and had a slight aroma of alcohol， and an astringent taste. Results of microscopic and thin-layer identification for the stem cross-section of wine-steamed T. chinensis were the same as those of raw T. chinensis. The contents of moisture， total ash and acid-insoluble ash were 3.92%-8.75%， 2.27%-5.08%， and 0.19%-0.82%， respectively； the contents of water-soluble extract were 11.28%-18.56%， and the contents of alcohol-soluble extract were 3.36%-8.58%； the contents of avicularin， quercitrin， and quercetin were 0.22-1.64， 0.26-2.45， and 0.01-0.38 mg/g， respectively. CONCLUSIONS This study successfully optimized the processing technology of wine-steamed T. chinensis and preliminarily characterized its quality， which can provide reference for the standardized processing and establishment of quality standards for wine-steamed T. chinensis decoction mail：wyl@sxtcm.edu.cn pieces.

OBJECTIVE To optimize the steaming and processing technology of wine-steamed Taxillus chinensis， and to characterize its quality. METHODS Using the content of avicularin， quercitrin， quercetin and appearance traits as evaluation indicators， the analytic hierarchy process （AHP）-entropy weight method was used to determine the weights of each indicator， and the comprehensive scores of those indicators were used as response values. Box-Behnken response surface method was used to investigate the effects of solid-liquid ratio （g/mL）， soaking time， and steaming time on the processing technology of wine-steamed T. chinensis， optimize the best processing technology， and verify it. Fifteen batches of T. chinensis decoction pieces from different origins were used to prepare wine-steamed T. chinensis using the best processing technology， and their qualities were characterized. RESULTS The optimal processing technology for wine-steamed T. chinensis was to take 100 g of T. chinensis decoction pieces， add 20 mL of yellow wine， seal and moisten for 2 h， steam at normal pressure for 1 h， take out and dry at 50 ℃. The surface of wine-steamed T. chinensis prepared by the optimal processing technology was reddish brown or brownish， and its powder was dark brown， with a hard or brittle texture that was easy to break， and had a slight aroma of alcohol， and an astringent taste. Results of microscopic and thin-layer identification for the stem cross-section of wine-steamed T. chinensis were the same as those of raw T. chinensis. The contents of moisture， total ash and acid-insoluble ash were 3.92%-8.75%， 2.27%-5.08%， and 0.19%-0.82%， respectively； the contents of water-soluble extract were 11.28%-18.56%， and the contents of alcohol-soluble extract were 3.36%-8.58%； the contents of avicularin， quercitrin， and quercetin were 0.22-1.64， 0.26-2.45， and 0.01-0.38 mg/g， respectively. CONCLUSIONS This study successfully optimized the processing technology of wine-steamed T. chinensis and preliminarily characterized its quality， which can provide reference for the standardized processing and establishment of quality standards for wine-steamed T. chinensis decoction mail：wyl@sxtcm.edu.cn pieces.

Objective To explore the relationship between serum miRNA-21 and miR-27b levels and prognosis of patients with renal clear cell carcinoma.Methods A total of 118 patients with renal clear cell carcinoma admitted to the Qinghai University Hospital from February 2019 to April 2021 were selected as the study subjects,and another 118 healthy patients in the same period as the control group.Real time fluorescence quantitative polymerase chain reaction(PCR)was used to detect the expression of miR-21 and miR-27b in the serum of all subjects.The relative expression levels of serum miR-21 and miR-27b between the patients with renal clear cell carcinoma and healthy control patients were compared.The expression and correlation of serum miR-21 and miR-27b in the patients with renal clear cell carcinoma of different pathological stages and Fuhrman grading were analyzed.The relationship between the expression of serum miR-21 and miR-27b and the survival and prognosis of the patients was explored as well.Results The expression levels of serum miR-21 and miR-27b in the patients with renal clear cell carcinoma were higher than those in the healthy control group(P＜0.05).The serum miR-21 expression level in stage Ⅲ patients was higher than in stageⅠ(P＜0.05),while the serum miR-21 expression level in the stage Ⅳ patients was higher than that in stagesⅠ,Ⅱ,and Ⅲ(P＜0.05).The expression level of miR-27b in the serum of patients gradually increased across the four stages,with a significant difference(P＜0.05).The pathological staging was positively correlated with the expression of miR-21 and miR-27b(P＜0.001).The expression levels of miR-21 and miR-27b in serum of patients gradually increased across grades Ⅰ,Ⅱ and Ⅲ by Fuhrman grading,with significant difference(P＜0.05).Fuhrman grading was positively correlated with the serum miR-21 and miR-27b expression(P＜0.001).There was a statistically significant difference in the survival curve between the miR-21 high expression group and the low expression group(P＜0.05).There was a statistically significant difference in the survival curve between the high expression group and the low expression group of miR-27b(P＜0.05).Conclusion The expression levels of serum miR-21 and miR-27b in patients with renal clear cell carcinoma is indicative of the progression and prognosis of the patient's condition.

Objective:To explore the genetic etiology of a child with delayed growth and development and carry out a literature review.Methods:A child suspected for Al Kaissi syndrome at the First Affiliated Hospital of Zhengzhou University on March 6, 2021 was selected as the study subject. Following extraction of genomic DNA, the child was subjected to copy number variation sequencing (CNV-seq) and whole exome sequencing (WES), and candidate variants were verified by PCR-agarose gel electrophoresis and quantitative real-time PCR (qPCR). Prenatal diagnosis was conducted on chorionic villi sample upon subsequent pregnancy.Results:The child, a 6-year-and-4-month-old boy, has dysmorphic features including low-set protruding ears and triangular face, delayed language and intellectual development, and ventricular septal defect. CNV-seq result has found no obvious abnormality, whilst WES revealed homozygous deletion of exons 1 and 2 of the CDK10 gene, which was confirmed by PCR -agarose gel electrophoresis and qPCR. Both of his parents were heterozygous carriers. Prenatal diagnosis using chorionic villi samples suggested that the fetus also carried the heterozygous deletion.Conclusion:The clinical features of Al Kaissi syndrome in this child can probably be attributed to the homozygous deletion of exons 1 and 2 of the CDK10 gene.

Objective:To investigate the clinicopathological and molecular genetic characteristics of well-differentiated/dedifferentiated liposarcoma (WDLPS/DDLPS) with myxoid-like morphology, and to distinguish them from myxofibrosarcoma (MFS) with similar morphology.Methods:Twenty-nine cases of myxoid-like liposarcoma and 5 cases of MFS were collected from Henan Provincial People′s Hospital, Zhengzhou, China and the First Medical Center of PLA General Hospital, Beijing, China from January 2015 to March 2023. Relevant markers were detected using immunohistochemistry and fluorescence in situ hybridization (FISH). The literature was also reviewed.Results:There were 24 males and 10 females, with ages ranging from 41 to 73 years. The tumor sites included retroperitoneum ( n=17), abdomen ( n=9), lower limbs ( n=5), scrotum ( n=1), upper limb ( n=1) and axilla ( n=1). WDLPS was commonly seen as lipomatoid type (12 cases), while the dedifferentiated components of DDLPS included low-grade (13 cases) and high-grade (2 cases) morphology, with low-high grade myxofibrosarcoma, dermatofibrosarcoma protuberans, and low-grade fibrosarcoma structures. Twenty-nine liposarcomas had various proportions of myxoid-like morphology, while 16 showed various degrees of tumor necrosis. The myxoid-like component showed myxoid pleomorphic liposarcoma (MLPS)-like morphology, lobulated growth, characteristic slender, ramified capillary network,"chicken claw-like"morphology, mucus-rich stroma and lung edema-like morphology. Tumor cells were spindle and oval, with many variable vacuolar lipoblasts. MDM2 gene amplification was detected using FISH and present in all tested cases (29/29). DDIT3 break-apart mutation was not detected, but its cluster amplification was present (24/29). Among the MFS cases, one showed cluster amplification (1/5), but no cases showed break-apart or amplification of MDM2 gene. Conclusions:WDLPS/DDLPS with myxoid-like morphology is most commonly seen in the retroperitoneum and abdominal cavity and mostly harbors DDIT3 break-apart probe amplification, while this amplification is not specific to liposarcoma. For core biopsy specimens or very rare tumors in the limbs, when histology has mucinous stroma and MLPS-like morphology, misdiagnosis of MLPS or other non-lipomatous neoplasms with myxoid morphology should be avoided.

Objective:To investigate the clinicopathological features, classification, and genetic characteristics of common lymphatic malformation (CLM) in superficial soft tissue.Methods:A retrospective study of 110 patients with the diagnosis of CLM at the Henan Province People′s Hospital, China from August 2019 to August 2022 was performed. The clinicopathological features, relevant immunohistochemical (IHC) staining results, and fluorescence quantitative PCR of PIK3CA mutation were analyzed, and patients were followed up.Results:Among the 110 CLM patients, there were 53 males and 57 females; 65 cases (65/110, 59.1%) were first detected when the patients were≤2 years old. The most common location was the head and neck in 41 cases (41/110, 37.3%). Clinically, 102 cases (102/110, 92.7%) were solitary, 83 cases (83/110, 75.5%) were skin-colored, 69 cases (69/110, 62.7%) had indistinct borders, and 10 cases (10/110, 9.1%) had diffuse and severe macroscopic manifestations. There were 52 macrocystic type (52/110, 47.3%), 23 microcystic type (23/110, 20.9%), and 35 combined type (35/110, 31.8%). The macrocystic CLM presented as soft, translucent masses with large cystic cavities on the cut surface, and histologically they were composed of large, irregularly dilated channels that were thicker with irregular smooth muscle and lymphocytic infiltration. Microcystic CLM showed wartlike projections or translucent blisters on the skin, with small honeycomb structures on the cut surface, and histologically consisted of round or angular dilated small lymphatic vessels with little or no smooth muscle. The combined CLM had both macrocystic and microcystic morphologies. IHC staining showed that the lymphatic endothelial cells were positive for LYVE-1, D2-40, PROX1, CD31, and VEGFR3 but negative for CD34; in the macrocystic and combined CLM vessel walls were positive for SMA. Eight of 13 CLM had PIK3CA mutation. All patients were followed up, and 24 (24/110, 21.8%) had relapses, which more frequently occurred in combined type, followed by microcystic type.Conclusions:CLM is a congenital vascular malformation composed of dilated, abnormal lymphatic channels, with PIK3CA mutation. There are significant differences in clinicopathological characteristics among the different types. Since microcystic and combined CLM are prone to recurrence, accurate pathological subtyping is necessary to guide treatment and to predict prognosis.

Objective:To screen the main characteristic variables affecting the incidence of cardiovascular and cerebrovascular diseases,and to construct the Bayesian network model of cardiovascular and cerebrovascular disease incidence risk based on the top 10 characteristic variables,and to provide the reference for predicting the risk of cardiovascular and cerebrovascular disease incidence.Methods:From the UK Biobank Database,315 896 participants and related variables were included.The feature selection was performed by categorical boosting(CatBoost)algorithm,and the participants were randomly divided into training set and test set in the ratio of 7∶3.A Bayesian network model was constructed based on the max-min hill-climbing(MMHC)algorithm.Results:The prevalence of cardiovascular and cerebrovascular diseases in this study was 28.8％.The top 10 variables selected by the CatBoost algorithm were age,body mass index(BMI),low-density lipoprotein cholesterol(LDL-C),total cholesterol(TC),the triglyceride-glucose(TyG)index,family history,apolipoprotein A/B ratio,high-density lipoprotein cholesterol(HDL-C),smoking status,and gender.The area under the receiver operating characteristic(ROC)curve(AUC)for the CatBoost training set model was 0.770,and the model accuracy was 0.764;the AUC of validation set model was 0.759 and the model accuracy was 0.763.The clinical efficacy analysis results showed that the threshold range for the training set was 0.06-0.85 and the threshold range for the validation set was 0.09-0.81.The Bayesian network model analysis results indicated that age,gender,smoking status,family history,BMI,and apolipoprotein A/B ratio were directly related to the incidence of cardiovascular and cerebrovascular diseases and they were the significant risk factors.TyG index,HDL-C,LDL-C,and TC indirectly affect the risk of cardiovascular and cerebrovascular diseases through their impact on BMI and apolipoprotein A/B ratio.Conclusion:Controlling BMI,apolipoprotein A/B ratio,and smoking behavior can reduce the incidence risk of cardiovascular and cerebrovascular diseases.The Bayesian network model can be used to predict the risk of cardiovascular and cerebrovascular disease incidence.