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 investigate the patent technological domain distribution of shanghai health system,and comparative analysis of patent technological hotspots between shanghai health system and enterprises.Methods The study used IPC classification method to conduct quantitative analysis of the distribution of patent technology,co-words analysis and visualization of social network establishment method were adopted to analyze patent technological hot spots.Results Within the A61 category,numbers of authorized patents of shanghai health system in orders are A61B、A61K、A61M and A61F.Further analysis of the highest authorized A61B17 group patent in the highest class A61B found that,compare to enterprises,the degree of coincidence with the high-frequency keywords of the technology hotspots is small,the technical hotspots are scattered,and lack of overall technical arrangement.Conclusions Shanghai health system mainly focused on medical device development.It is lower than that of enterprises regarding to the patent technology market demand matching,technical arrangement of the enterprise is relatively better than the health system,thus,the study suggested enhancing market demand survey,adjusting patent distribution,and broadening the scope of market promotion.

Objective To investigate the characteristics of heart rate variability(HRV)in obese patients with severe obstructive sleep apnea hypopnea syndrome(OSAHS).Methods We retrospectively analyzed 78 patients with severe OSAHS diagnosed by polysomnography(PSG)in The Second Affiliated Hospital of Xi'an Jiaotong University from April 2018 to May 2022.According to body mass index(BMI),the patients were divided into obese with severe OSAHS group(43 cases)and non-obese with severe OSAHS group(35 cases).All patients received 24-hour Holter monitoring while on polysomnography monitoring.The differences in HRV indexes between the groups and the correlation between HRV and clinical indicators were analyzed.Results In terms of basic data and PSG indexes,the analysis results showed that compared with those in the non-obese OSAHS group,weight,BMI,neck circumference,waist circumference,and AHI in obese with severe OSAHS group were significantly higher,while the standard deviation of the 24-hour normal R-R interval(SDNN),the standard deviation of the 5-minute mean(SDANN),the triangle index(TI),the heart rate deceleration force(DC),the standard deviation of the normal R-R interval(awake SDNN),and high frequency during sleep in the obese with severe OSAHS group were significantly lower(P＜0.05).The correlation results showed that among obese with severe OSAHS patients,root mean square of the difference of adjacent R-R interval(rMSSD)was negatively correlated with the course of hypertension;TI and DC were negatively correlated with AHI.After adjusting for neck circumference and waist circumference,the linear regression analysis showed that SDNN,SDANN,and rMSSD were correlated with systolic blood pressure(P＜0.05).Conclusion There is significant decrease in HRV index in obese patients with severe OSAHS,suggesting that deterioration of cardiac autonomic nervous regulation function may increase the risk of cardiovascular disease.

Objective:To compare the patient-reported outcomes and short-term clinical outcomes between robotic-assisted and laparoscopic-assisted radical gastrectomy for locally advanced gastric cancer.Methods:This single-center prospective randomized controlled trial was conducted in the Department of Gastrointestinal Surgery, Affiliated Hospital of Qingdao University from October 2020 to August 2022. Patients with locally advanced gastric cancer who were to undergo radical gastrectomy were selected and randomly divided into two groups according to 1∶1, and received robotic surgery and laparoscopic surgery, respectively. Patient-reported outcomes and short-term clinical outcomes (including postoperative complications, surgical quality and postoperative short-term recovery) were compared between the two groups by independent sample t test, Mann-Whitney U test, repeated ANOVA, generalized estimating equation, χ2 test and Fisher′s exact test. Results:A total of 237 patients were enrolled for modified intention-to-treat analysis (120 patients in the robotic group, 117 patients in the laparoscopic group). There were 180 males and 59 females, aged (63.0±10.2) years (range: 30 to 85 years). The incidence of postoperative complications was similar between the robotic group and laparoscopic group (16.7% (20/120) vs. 15.4% (18/117), χ2=0.072, P=0.788). The robotic group had higher patient-reported outcomes scores in general health status, emotional, and social domains compared to the laparoscopic group, differences in time effect, intervention effect, and interaction effect were statistically significant (general health status: χ2 value were 275.68, 3.91, 6.38, P value were <0.01, 0.048, 0.041; emotional: χ2 value were 77.79, 6.04, 6.15, P value were <0.01, 0.014, 0.046; social: χ2 value were 148.00, 7.57, 5.98, P value were <0.01, 0.006, 0.048). However, the financial burden of the robotic group was higher, the differences in time effect, intervention effect and interaction effect were statistically significant ( χ2 value were 156.24, 4.08, 36.56, P value were <0.01, 0.043,<0.01). Conclusion:Compared to the laparoscopic group, the robotic group could more effectively relieve postoperative negative emotions and improve recovery of social function in patients.

Objective:To compare the patient-reported outcomes and short-term clinical outcomes between robotic-assisted and laparoscopic-assisted radical gastrectomy for locally advanced gastric cancer.Methods:This single-center prospective randomized controlled trial was conducted in the Department of Gastrointestinal Surgery, Affiliated Hospital of Qingdao University from October 2020 to August 2022. Patients with locally advanced gastric cancer who were to undergo radical gastrectomy were selected and randomly divided into two groups according to 1∶1, and received robotic surgery and laparoscopic surgery, respectively. Patient-reported outcomes and short-term clinical outcomes (including postoperative complications, surgical quality and postoperative short-term recovery) were compared between the two groups by independent sample t test, Mann-Whitney U test, repeated ANOVA, generalized estimating equation, χ2 test and Fisher′s exact test. Results:A total of 237 patients were enrolled for modified intention-to-treat analysis (120 patients in the robotic group, 117 patients in the laparoscopic group). There were 180 males and 59 females, aged (63.0±10.2) years (range: 30 to 85 years). The incidence of postoperative complications was similar between the robotic group and laparoscopic group (16.7% (20/120) vs. 15.4% (18/117), χ2=0.072, P=0.788). The robotic group had higher patient-reported outcomes scores in general health status, emotional, and social domains compared to the laparoscopic group, differences in time effect, intervention effect, and interaction effect were statistically significant (general health status: χ2 value were 275.68, 3.91, 6.38, P value were <0.01, 0.048, 0.041; emotional: χ2 value were 77.79, 6.04, 6.15, P value were <0.01, 0.014, 0.046; social: χ2 value were 148.00, 7.57, 5.98, P value were <0.01, 0.006, 0.048). However, the financial burden of the robotic group was higher, the differences in time effect, intervention effect and interaction effect were statistically significant ( χ2 value were 156.24, 4.08, 36.56, P value were <0.01, 0.043,<0.01). Conclusion:Compared to the laparoscopic group, the robotic group could more effectively relieve postoperative negative emotions and improve recovery of social function in patients.

【Objective】 To statistically analyze the relationship between homologous recombination repair deficiency (HRD) score and clinicopathological characteristics, genomic mutations in patients with high-risk and metastatic hormone-sensitive prostate cancer (mHSPC) and the prognostic predictive value in mHSPC. 【Methods】 A total of 127 patients diagnosed with high-risk prostate cancer and mHSPC, treated at the Department of Urology of Chinese PLA General Hospital during Dec.2021 and Nov.2023 were enrolled.Homologous recombination repair (HRR) gene sequencing was performed, and the genomic scar score (GSS) algorithm were conducted to calculate the HRD score.The relationship between HRD scores and clinicopathological features, genomic alterations, and prognosis were analyzed. 【Results】 The median HRD score was 1.6(0.8, 5.2), 30(23.6%) patients’ HRD scores ≥10, and 11(8.7%) patients’ HRD scores ≥20.Clinicopathological features, including ISUP classification ≥4 (P=0.044) and metastatic status (P=0.008) were associated with high HRD score.Patients with mutations in the BRCA, TP53 and MYC systems had significantly higher HRD score than those with wild-type genes (P<0.05).In mHSPC, the risk of biochemical recurrence was 12.836 times higher in patients with HRD score ≥20 than in those with <20 [OR:12.836 (1.332-124.623), P=0.028]. 【Conclusion】 Baseline HRD score was lower in patients with high-risk prostate cancer and mHSPC.Patients with high HRD score may have higher histological grading (ISUP≥4) and later clinical stage.Further investigation is needed to determine the threshold of HRD scores as biochemical markers suggestive of a poor prognosis.