ABSTRACT
This study used bioinformatics analysis to screen out key genes involved in the transformation of idiopathic membranous nephropathy to end-stage renal disease and to predict targeted Chinese herbs and medicines and active ingredients with preventive and curative effects. The GSE108113 microarray of idiopathic membranous nephropathy and GSE37171 microarray of were downloaded from the comprehensive gene expression database, and 8 homozygous differentially expressed genes for the transformation of idiopathic membranous nephropathy into end-stage renal disease of were screened out by R software. GraphPad Prism was used to verify the expression of homozygous differentially expressed genes in GSE115857 microarray of idiopathic membranous nephropathy and GSE66494 microarray of chronic kidney disease, and 7 key genes(FOS, OGT, CLK1, TIA1, TTC14, CHORDC1, and ANKRD36B) were finally obtained. The Gene Ontology(GO) analysis was performed. There were 209 functions of encoded proteins, mainly involved in regulation of RNA splicing, cytoplasmic stress granule, poly(A) binding, etc. Thirteen traditional Chinese medicines with the effect of preventing the transformation of idiopathic membranous nephropathy to end-stage renal disease were screened out from Coremine Medical database, including Ginseng Radix et Rhizoma, Lycopi Herba, and Gardeniae Fructus, which were included in the Chinese Pharmacopoeia(2020 edition). The active ingredient quercetin mined from Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP) had ability to dock with the key gene FOS-encoded protein molecule, which provided targets and research ideas for the development of new traditional Chinese medicines.
Subject(s)
Humans , Medicine, Chinese Traditional , Glomerulonephritis, Membranous , Kidney Failure, Chronic , Renal Insufficiency, Chronic , Computational BiologyABSTRACT
Objective: To establish a risk prediction model for pulmonary complications in elderly patients with multiple rib fractures. Methods: A total of 150 cases of elderly patients with multiple rib fractures were analyzed retrospectively from January 2016 to December 2017 in the Department of Thoracic Surgery, Suzhou Kowloon Hospital, Shanghai Jiao Tong University School of Medicine. Patients were divided into case group (n=88) and control group (n=62) according to whether pulmonary complications occurred. Univariate analysis and Logistic regression analysis were performed based on 8 factors, including gender, age, basic pulmonary disease, smoking history, the number of rib fractures, expectoration, diabetes, and the treatment time. Results: The results of univariate analysis showed that age, basic pulmonary disease, smoking history, the number of rib fractures, expectoration, diabetes, and the treatment time were associated with pulmonary complications (P<0.05). Logistic regression analysis showed that basic pulmonary disease (OR=3.338, 95% CI 2.772-11.606, P=0.003), smoking history (OR=2.407, 95% CI 1.103-5.253, P=0.027), the number of rib fractures (OR=3.321, 95% CI 1.178-9.359, P=0.023), and expectoration (OR=4.034, 95% CI 1.818-8.952, P=0.001) were the independent risk factors for pulmonary complications in elderly patients with multiple rib fractures. The area under the model ROC curve was 0.816, and the regression model was reliable. Conclusion: Basic pulmonary disease, smoking history, the number of rib fractures and expectoration are the independent risk factors for pulmonary complications in elderly patients with multiple rib fractures. More attention should be paid to these factors in order to reduce the incidence of pulmonary complications.