OBJECTIVE To explore the medication rule and potential mechanism of anti-aging traditional Chinese medicine health care prescription by using data mining,network pharmacology and molecular docking technology.METHODS By searching the special food information query platform of the State Administration for Market Regulation and Yaozhi.com,the health care prescrip-tions with traditional Chinese medicine as the main component and anti-aging effect were searched.The data mining technology was used to analyze the prescription rules,and the core anti-aging traditional Chinese medicine was selected according to the analysis re-sults.The chemical constituents and corresponding targets of core anti-aging traditional Chinese medicines were obtained by searching TCMSP and other databases;potential targets related to aging from GeneCards and OMIM databases were screened;the intersection tar-gets of core Chinese medicine and aging were obtained.Subsequently,protein-protein interaction(PPI)network analysis,gene ontolo-gy(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysis were performed using STRING database and Cytoscape 3.7.2 software.Finally,the affinity of core targets and key components was verified by molecular docking technology.RESULTS A total of 244 kinds of anti-aging traditional Chinese medicine health care prescriptions were screened and included.The prescription drugs were mainly tonic drugs,the drug properties were mostly warm and mild,the drug taste was mainly sweet,the drugs were mainly distributed in the five zang organs,with the kidney meridian being the first target.According to the re-sults of comprehensive data analysis,five core Chinese medicines(Wolfberry,ginseng,American ginseng,Astragalus,Poria)were screened out.A total of 105 active ingredients(corresponding to 219 target genes),1 568 aging-related potential targets,and 137 in-tersection targets were obtained.According to the degree value,12 core targets were screened out,mainly involving cancer pathways,lipids and atherosclerosis,AGE-RAGE and other signaling pathways.The results of molecular docking showed that the key anti-aging components could spontaneously and stably bind to the core targets.CONCLUSION Through data mining,network pharmacology and molecular docking,the prescription rules of anti-aging Chinese medicine health care prescriptions are analyzed,and the anti-ag-ing potential targets and mechanism pathways of five core traditional Chinese medicines are preliminarily revealed,so as to provide ref-erence and theoretical basis for delaying aging and preventing and treating related diseases in the elderly.

OBJECTIVE To explore the medication rule and potential mechanism of anti-aging traditional Chinese medicine health care prescription by using data mining,network pharmacology and molecular docking technology.METHODS By searching the special food information query platform of the State Administration for Market Regulation and Yaozhi.com,the health care prescrip-tions with traditional Chinese medicine as the main component and anti-aging effect were searched.The data mining technology was used to analyze the prescription rules,and the core anti-aging traditional Chinese medicine was selected according to the analysis re-sults.The chemical constituents and corresponding targets of core anti-aging traditional Chinese medicines were obtained by searching TCMSP and other databases;potential targets related to aging from GeneCards and OMIM databases were screened;the intersection tar-gets of core Chinese medicine and aging were obtained.Subsequently,protein-protein interaction(PPI)network analysis,gene ontolo-gy(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysis were performed using STRING database and Cytoscape 3.7.2 software.Finally,the affinity of core targets and key components was verified by molecular docking technology.RESULTS A total of 244 kinds of anti-aging traditional Chinese medicine health care prescriptions were screened and included.The prescription drugs were mainly tonic drugs,the drug properties were mostly warm and mild,the drug taste was mainly sweet,the drugs were mainly distributed in the five zang organs,with the kidney meridian being the first target.According to the re-sults of comprehensive data analysis,five core Chinese medicines(Wolfberry,ginseng,American ginseng,Astragalus,Poria)were screened out.A total of 105 active ingredients(corresponding to 219 target genes),1 568 aging-related potential targets,and 137 in-tersection targets were obtained.According to the degree value,12 core targets were screened out,mainly involving cancer pathways,lipids and atherosclerosis,AGE-RAGE and other signaling pathways.The results of molecular docking showed that the key anti-aging components could spontaneously and stably bind to the core targets.CONCLUSION Through data mining,network pharmacology and molecular docking,the prescription rules of anti-aging Chinese medicine health care prescriptions are analyzed,and the anti-ag-ing potential targets and mechanism pathways of five core traditional Chinese medicines are preliminarily revealed,so as to provide ref-erence and theoretical basis for delaying aging and preventing and treating related diseases in the elderly.

Objective:To investigate the correlation between morphology of esophageal and gastric mucosal and Helicobacter pylori ( HP) infection under white light gastroscope. Methods:A retrospective analysis was performed on data of 1 339 patients who underwent 13C-urea breath test and white light gastroscopy at the same time in the Southwest Hospital of Army Medical University from September 2018 to August 2019. Chi-square test or Fisher exact probability method was used to analyze the difference on detection rates of 22 indexes of gastroscopic mucosal manifestation between the HP infection group ( n=422) and the non-infection group ( n=917). Then the indexes with difference were further analyzed by binary logistic regression. The receiver operating characteristic (ROC) curve was drawn, and the area under the curve and the sensitivity, specificity, positive predictive value and negative predictive value of prediction of HP infection was calculated. Results:The diffuse redness, spotted redness, mucosal swelling, enlarged folds, sticky mucus, digestive tract ulcer, nodularity, hyperplastic polyp, xanthoma, atrophy, intestinal metaplasia, and depressive erosion were more common in patients with HP infection (all P<0.05). Binary logistic regression analysis showed that diffuse redness ( P<0.001, OR=75.974, 95% CI: 32.551-177.327), spotted redness ( P=0.002, OR=3.360, 95% CI: 1.536-7.349), mucosal swelling ( P<0.001, OR=3.150, 95% CI: 1.654-5.996) were independent risk factors for HP infection. ROC curve analysis showed that the area under ROC curve of diffuse redness, spotted redness, mucosal swelling, enlarged folds, sticky mucus, peptic ulcer, and depressive erosion predicting HP infection were all greater than 0.5 ( P<0.05), among which, the area under curve of diffuse redness, spotted redness and mucosal swelling predicting HP infection were greater than 0.7. The sensitivities corresponding to the three indicators were 0.735, 0.512, and 0.445, the specificities were 0.992, 0.983, and 0.971, the positive predictive values were 0.978, 0.931, and 0.874, and the negative predictive values were 0.890, 0.814, and 0.792, respectively. Conclusion:Morphological manifestations of esophageal and gastric mucosa, especially diffuse redness, spotted redness, and mucosal swelling, are excellent indicators for HP infection under white light gastroscopy.

OBJECTIVE To investigate the incidence of nosocomial infection (NI) in our hospital,analyze the related factors,and provide theoretical basis for better prevention and control of NI. METHODS A total of 19 203 inpatients from Dec 2006 to Nov 2007 were retrospectively analyzed,of which 387 inpatients suffering from NI. RESULTS The rate of NI was 2.02%,the highest infected rate was in ICU (24.32%). The main infection site was respiratory tract (57.58%). The species were predominated by Gram-negatives (52.00%). CONCLUSIONS The incidence of NI is connected with factors such as age,underlying diseases,invasive operation and the misusage of antibiotics.