Objective:To study correlation between related carotid ultrasound parameters and severity of coronary atherosclerosis(AS).Methods:According to number of diseased coronary arteries,a total of 116 patients with cor-onary heart disease diagnosed by coronary angiography in our hospital were divided into single vessel coronary dis-ease group(n=38,single group),double vessel coronary disease group(n=39,double group)and ≥3 vessel coro-nary disease group(n=39,multiple group).Another 41 healthy subjects were simultaneously regarded as healthy control group.General clinical data and carotid ultrasound parameters were compared among all groups,and corre-lation among them and AS severity was analyzed.Results:Compared with healthy control group,there were signifi-cant rise in levels of total cholesterol(TC),triglycerides(TG)and low density lipoprotein cholesterol(LDL-C),carotid intima-media thickness(IMT)and Crouse score in single,double and multiple groups,and significant re-ductions in plaque echo gray-scale median(GSM)in double and multiple groups.Compared with single group,there were significant rise in levels of TG and LDL-C,Gensini score and Crouse score in double and multiple groups and TC level in multiple group,and significant reduction in plaque echo GSM in multiple group.Compared with double group,there were significant rise in TC level,Gensini score and Crouse score,and significant reduction in plaque echo GSM in multiple group(P＜0.05 or＜0.01).Pearson correlation analysis indicated that Gensini score was significant positively correlated with Crouse score in these patients(r=0.580,P=0.001).Spearman correla-tion analysis indicated that IMT was significant positively correlated with number of diseased coronary arteries(r=0.582,P=0.001),and plaque echo GSM was significant inversely correlated with it(r=-0.518,P=0.001)in these patients.Conclusion:Related carotid ultrasound parameters are significantly correlated with severity of coro-nary atherosclerosis.

Objective To explore the therapeutic mechanism of Euonymus alatus for diabetic kidney disease(DKD).Methods TCMSP,PubChem and Swiss Target Prediction databases were used to obtain the active ingredients in Euonymus alatus and their targets.GEO database and R language were used to analyze the differentially expressed genes in DKD.The therapeutic targets of DKD were obtained using GeneCards,DisGeNet,OMIM and TTD databases.The protein-protein interaction network and the"drug-component-target-disease"network were constructed for analyzing the topological properties of the core targets,which were functionally annotated using GO and KEGG pathway enrichment analyses.Molecular docking was performed for the core targets and the main pharmacologically active components,and the results were verified in db/db mice.Results Analysis of GSE96804,GSE30528 and GSE30529 datasets(including 60 DKD patients and 45 normal samples)identified 111 differentially expressed genes in DKD.Network pharmacology analysis obtained 161 intersecting genes between the target genes of Euonymus alatus and DKD,including the key core target genes SRC,EGFR,and AKT1.The core active ingredients of Euonymus alatus were quercetin,kaempferol,diosmetin,and naringenin,which were associated with responses to xenobiotic stimulionus and protein phosphorylation and regulated EGFR tyrosine kinase inhibitor resistance pathways.Molecular docking suggested good binding activities of the core active components of Euonymus alatus with the core targets.In db/db mouse models of DKD,treatment with Euonymus alatus obviously ameliorated kidney pathologies,significantly inhibited renal expressions of SRC,EGFR and AKT1,and delayed the progression of DKD.Conclusion Euonymus alatus contains multiple active ingredients such as quercetin,kakaferol,diosmetin,naringenin,which regulate the expressions of SRC,EGFR,and AKT1 to affect the EGFR tyrosine kinase inhibitor resistance signaling pathway to delay the progression of DKD.

Objective To explore the therapeutic mechanism of Euonymus alatus for diabetic kidney disease(DKD).Methods TCMSP,PubChem and Swiss Target Prediction databases were used to obtain the active ingredients in Euonymus alatus and their targets.GEO database and R language were used to analyze the differentially expressed genes in DKD.The therapeutic targets of DKD were obtained using GeneCards,DisGeNet,OMIM and TTD databases.The protein-protein interaction network and the"drug-component-target-disease"network were constructed for analyzing the topological properties of the core targets,which were functionally annotated using GO and KEGG pathway enrichment analyses.Molecular docking was performed for the core targets and the main pharmacologically active components,and the results were verified in db/db mice.Results Analysis of GSE96804,GSE30528 and GSE30529 datasets(including 60 DKD patients and 45 normal samples)identified 111 differentially expressed genes in DKD.Network pharmacology analysis obtained 161 intersecting genes between the target genes of Euonymus alatus and DKD,including the key core target genes SRC,EGFR,and AKT1.The core active ingredients of Euonymus alatus were quercetin,kaempferol,diosmetin,and naringenin,which were associated with responses to xenobiotic stimulionus and protein phosphorylation and regulated EGFR tyrosine kinase inhibitor resistance pathways.Molecular docking suggested good binding activities of the core active components of Euonymus alatus with the core targets.In db/db mouse models of DKD,treatment with Euonymus alatus obviously ameliorated kidney pathologies,significantly inhibited renal expressions of SRC,EGFR and AKT1,and delayed the progression of DKD.Conclusion Euonymus alatus contains multiple active ingredients such as quercetin,kakaferol,diosmetin,naringenin,which regulate the expressions of SRC,EGFR,and AKT1 to affect the EGFR tyrosine kinase inhibitor resistance signaling pathway to delay the progression of DKD.

Objective To assess the value of real-time intraoperative neuronavigation integrated with ultrasound in the resection of deep-seated brain tumor. Methods Thirty patients with deep-seated brain tumor were treated with microneurosurgery guided with real-time ultrasound integrated with the Brain Lab IGSonic navigation. During the ultrasound based operation, the degree of brain shift and the tumor border was timely observed, and then the tumor was resected totally. Results Guiding with navigation integrated ultrasound, we noticed the brain shift with various degrees happening in 30 patients,and the border of tumor was exposed and the tumor was resected totally without serious complications.Conclusions Intraoperative ultrasound integrated with navigation is a reliable guidance which can accurately re-localize the border of deep-seated brain tumor even when the tumor is shifting, timely delineate the reformatted images from ultrasound and totally resectcd the tumor, thus decrease the surgical time and increase the safety of surgical procedure.

Background and Objectives: Psoriasis is a chronic inflammatory skin disease, which the mechanisms behind its initiation and development are related to many factors. DMSCs (dermal mesenchymal stem cells) represent an important member of the skin microenvironment and play an important role in the surrounding environment and in neighbouring cells, but they are also affected by the microenvironment. We studied the glucose metabolism of DMSCs in psoriasis patients and a control group to reveal the relationship among glucose metabolism, cell proliferation activity，and VEC (vascular endothelial cell) differentiation in vitro, we demonstrated the biological activity and molecular mechanisms of DMSCs in psoriasis. Methods: and Results: We found that the OCR of DMSCs in psoriatic lesions was higher than that in the control group, and mRNA of GLUT1 and HK2 were up-regulated compared with the control group. The proliferative activity of DMSCs in psoriasis was reduced at an early stage, and mRNA involved in proliferation, JUNB and FOS were expressed at lower levels than those in the control group. The number of blood vessels in psoriatic lesions was significantly higher than that in the control group (p＜0.05), which the mRNA of VEC differentiation, CXCL12, CXCR7, HEYL and RGS5 tended to be increased in psoriatic lesions compared to the control group, in addition to Notch3. Conclusions We speculated that DMSCs affected local psoriatic blood vessels through glucose metabolism, and the differentiation of VECs, which resulted in the pathophysiological process of psoriasis.