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:The differentially expressed genes(DEGs)and activated signaling pathways in systemic sclerosis(SSc)were screened by bioinformatics methods,and Chinese medicines for potential treatment of SSc were explored,providing a new theoretical basis for the study of SSc and the screening of potential markers.Methods:The data sets GSE58095,GSE130953,GSE33463 and GSE58613 were selected from GEO database and divided into skin group and peripheral blood group according to the sample source.The DEGs of SSc patients was analyzed by R language,and the Wayne diagram was drawn to take the intersection of the two groups.Metascape was used for GO enrichment analysis and KEGG pathway enrichment analysis,and STRING and Cytoscape were used for protein interaction network analysis to find key pathways and hub genes.The core genes were mapped to the medical on-tology information retrieval platform,and related Chinese medicines for SSc treatment were screened.The effective components of Chi-nese medicines were obtained through TCMSP and HERB databases,and the target letters of active ingredients were obtained through swiss database.The"drug-active ingredient-target"network was constructed by Cytoscape.Results:Total 218 DEGs were identified from the skin group of patients with SSc,and 283 DEGs were screened from peripheral blood of patients with SSc.Among them,there were 7 DEGs co-upregulated in skin and peripheral blood,namely ISG15,LGALS3BP,BST2,C1QB,IFI27,CEACAM1 and FBP1.CAMK2N1 was up-regulated in skin but down-regulated in peripheral blood,ARG1 was down-regulated in skin but up-regulated in pe-ripheral blood.GO and KEGG analysis of SSc DEGs showed that these genes were significantly enriched in inflammatory response,he-moglobin complex,immune receptor activity and extracellular matrix.The results of protein interaction network suggest that more than 10 genes such as COL1A1,CTGF12,IL1B,IFNG and JUN may be potential markers of SSc and core genes of therapeutic targets.The potential Chinese medicines screened for SSc treatment include ginseng,sanguisorba,convolvula,wolfberry,safflower,etc.The main components of these herbs were β-sitosterol,quercetin,kaempferol,stigmasterol,luteolin,sitosterol,Spinasterol,and the target were AKR1B1,AR,CYP1B1,XDH,etc.Conclusion:This study uses bioinformatics to screen out core genes that may be potential markers and therapeutic targets for SSc,which is expected to be a new target for the early diagnosis and mechanism research of SSc.Meanwhile,the mapped Chinese medicine and its effective components can provide ideas for the research and development of Chinese medicine compounds for the treatment of SSc.

Objective To explore the application effect of dexmedetomidine combined with ropivacaine for quadratus lumborum block at the lateral supra-arcuate ligament(QLB-LSAL) in open hepatocellular carcinoma resection.Methods A prospective study was conducted in 60 patients who underwent elective open hepatocellular carcinoma resection at Jining First People's Hospital. The patients were randomly divided into the compound group and the control group,with 30 cases in each group. Patients in the compound group received QLB-LSAL combined general anesthesia,and patients in the control group received simple general anesthesia. All patients underwent patient controlled intravenous analgesia (PCIA)postoperatively. The mean arterial pressure (MAP),heart rate (HR) and visual analogue scale (VAS) scores during rest and coughing at different time points were observed and compared between the two groups. The number of postoperative PCIA compressions,the dosage of sufentanil,the first postoperative exhaust time,the first postoperative ambulation time,the hospital stay and the occurrence of adverse reactions of the two groups were recorded. Results In the compound group,the HR and MAP were significantly lower than those of the control group at the time of skin incision (T2) and at the end of surgery (T3);the VAS scores during rest and coughing were significantly lower than those of the control group at the time of exiting the anesthesia recovery room and 6 hours and 12 hours after surgery;and the PCIA compression times were significantly less than those of the control group;the dosage of sufentanil was significantly lower than that in the control group 0 to 24 hours after surgery,and the dosage of sufentanil was higher than that in the control group 25 to 48 hours after surgery;the first postoperative ambulation time and the first postoperative exhaust time were significantly earlier than those in the control group;and the above differences were statistically significant(P<0.05). There was no significant difference in the HR or MAP at 5 minutes into the operating room (T0) and 5 minutes before skin incision (T1),VAS scores during rest and coughing 24 hours and 48 hours after surgery,hospital stay and incidence of adverse reactions between the two groups (P>0.05).Conclusion For patients with open hepatocellular carcinoma resection,dexmedetomidine combined with ropivazine for QLB-LSAL can provide more ideal postoperative analgesia,reduce perioperative opioid consumption,and have less impact on circulatory system,which is conducive to rapid postoperative recovery.

Objective:The differentially expressed genes(DEGs)and activated signaling pathways in systemic sclerosis(SSc)were screened by bioinformatics methods,and Chinese medicines for potential treatment of SSc were explored,providing a new theoretical basis for the study of SSc and the screening of potential markers.Methods:The data sets GSE58095,GSE130953,GSE33463 and GSE58613 were selected from GEO database and divided into skin group and peripheral blood group according to the sample source.The DEGs of SSc patients was analyzed by R language,and the Wayne diagram was drawn to take the intersection of the two groups.Metascape was used for GO enrichment analysis and KEGG pathway enrichment analysis,and STRING and Cytoscape were used for protein interaction network analysis to find key pathways and hub genes.The core genes were mapped to the medical on-tology information retrieval platform,and related Chinese medicines for SSc treatment were screened.The effective components of Chi-nese medicines were obtained through TCMSP and HERB databases,and the target letters of active ingredients were obtained through swiss database.The"drug-active ingredient-target"network was constructed by Cytoscape.Results:Total 218 DEGs were identified from the skin group of patients with SSc,and 283 DEGs were screened from peripheral blood of patients with SSc.Among them,there were 7 DEGs co-upregulated in skin and peripheral blood,namely ISG15,LGALS3BP,BST2,C1QB,IFI27,CEACAM1 and FBP1.CAMK2N1 was up-regulated in skin but down-regulated in peripheral blood,ARG1 was down-regulated in skin but up-regulated in pe-ripheral blood.GO and KEGG analysis of SSc DEGs showed that these genes were significantly enriched in inflammatory response,he-moglobin complex,immune receptor activity and extracellular matrix.The results of protein interaction network suggest that more than 10 genes such as COL1A1,CTGF12,IL1B,IFNG and JUN may be potential markers of SSc and core genes of therapeutic targets.The potential Chinese medicines screened for SSc treatment include ginseng,sanguisorba,convolvula,wolfberry,safflower,etc.The main components of these herbs were β-sitosterol,quercetin,kaempferol,stigmasterol,luteolin,sitosterol,Spinasterol,and the target were AKR1B1,AR,CYP1B1,XDH,etc.Conclusion:This study uses bioinformatics to screen out core genes that may be potential markers and therapeutic targets for SSc,which is expected to be a new target for the early diagnosis and mechanism research of SSc.Meanwhile,the mapped Chinese medicine and its effective components can provide ideas for the research and development of Chinese medicine compounds for the treatment of SSc.

Objective To explore the application effect of dexmedetomidine combined with ropivacaine for quadratus lumborum block at the lateral supra-arcuate ligament(QLB-LSAL) in open hepatocellular carcinoma resection.Methods A prospective study was conducted in 60 patients who underwent elective open hepatocellular carcinoma resection at Jining First People's Hospital. The patients were randomly divided into the compound group and the control group,with 30 cases in each group. Patients in the compound group received QLB-LSAL combined general anesthesia,and patients in the control group received simple general anesthesia. All patients underwent patient controlled intravenous analgesia (PCIA)postoperatively. The mean arterial pressure (MAP),heart rate (HR) and visual analogue scale (VAS) scores during rest and coughing at different time points were observed and compared between the two groups. The number of postoperative PCIA compressions,the dosage of sufentanil,the first postoperative exhaust time,the first postoperative ambulation time,the hospital stay and the occurrence of adverse reactions of the two groups were recorded. Results In the compound group,the HR and MAP were significantly lower than those of the control group at the time of skin incision (T2) and at the end of surgery (T3);the VAS scores during rest and coughing were significantly lower than those of the control group at the time of exiting the anesthesia recovery room and 6 hours and 12 hours after surgery;and the PCIA compression times were significantly less than those of the control group;the dosage of sufentanil was significantly lower than that in the control group 0 to 24 hours after surgery,and the dosage of sufentanil was higher than that in the control group 25 to 48 hours after surgery;the first postoperative ambulation time and the first postoperative exhaust time were significantly earlier than those in the control group;and the above differences were statistically significant(P<0.05). There was no significant difference in the HR or MAP at 5 minutes into the operating room (T0) and 5 minutes before skin incision (T1),VAS scores during rest and coughing 24 hours and 48 hours after surgery,hospital stay and incidence of adverse reactions between the two groups (P>0.05).Conclusion For patients with open hepatocellular carcinoma resection,dexmedetomidine combined with ropivazine for QLB-LSAL can provide more ideal postoperative analgesia,reduce perioperative opioid consumption,and have less impact on circulatory system,which is conducive to rapid postoperative recovery.

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 summarize the results of prenatal diagnosis and outcome of pregnancy of fetuses with a high risk for 6p22.1.1-p21.32 duplication signaled by non-invasive prenatal screening (NIPS). METHODS: Clinical information, results of prenatal diagnosis and pregnancy for fetuses with a high risk for 6p22.1-p21.32 duplication were collected and analyzed. This study has been approved by the Medical Ethics Committee of the First Affiliated Hospital of Zhengzhou University (Ethic No. 2018-YB-08). RESULTS: Forty three pregnant women with a high risk for 6p22.1-p21.32 duplication were identified by NIPS, among whom 30 had accepted invasive prenatal diagnosis, and 27 fetuses were verified to be false positive. Three fetuses were found to have other chromosomal abnormalities, among whom two were rated to be likely benign CNV and 1 was rated to be likely pathogenic. Follow up of the 43 pregnant women revealed that 35 fetuses were normal after birth, 1 pregnancy was terminated, and 7 were lost to follow up. CONCLUSION For pregnant women with a high risk for 6p22.1-p21.32 duplication signaled by NIPS, genetic counselor need to inform them the high false positive rate and recommend invasive prenatal diagnosis and/or ultrasound examination in order to reduce the psychological and economic burdens.
Humans ; Female ; Pregnancy ; Chromosome Duplication ; Adult ; Prenatal Diagnosis/methods* ; Chromosomes, Human, Pair 6/genetics* ; Pregnancy Outcome ; Noninvasive Prenatal Testing/methods* ; Chromosome Disorders/genetics* ; Fetus/abnormalities*

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.