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Objective@#To evaluate the effects of overweight and obesity intervention in the health-promoting school model and to provide reference for effective prevention and control of overweight and obesityin middle Schools.@*Methods@#Using stratified cluster random sampling, 10 middle schools in Sanmenxia City were randomly divided into intervention group and control group. In the intervention group and the control group, one middle school and one high school were randomly selected. The students from the two classes randomly selected in the first and second grades in the four schools that were selected, the questionnaire survey and medical examination was conducted before and after the intervention to evaluate the intervention effect.@*Results@#After intervention, the ratio of overweight and obesity of the intervention group decreased from 22.70% before intervention to 17.45%, statistical significance(χ 2=4.11, P<0.05), and the ratio of overweight and obesity of the control group increased from 22.39% before intervention to 22.91%, no significant difference(P>0.05). After the intervention, the response rates of limiting red meat, fried food and sugarsweetened beverages were all higher than those before the intervention, the differences were statistically significant (χ 2=125.73, 10.69, 208.55, 170.66, 50.01, P<0.01).@*Conclusion@#The comprehensive intervention measures of overweight and obesity in the model of health promotion school can encourage students to develop healthy behaviors and effectively prevent and control middle school students from overweight and obesity, and it is easy to form a long-term intervention mechanism.
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Objective:To screen the differentially co-expressed genes in the mRNA expression profile of colon cancer by combined application of weighted gene co-expression network analysis(WGCNA) and differential gene expression analysis, and to analyze the relationship between differentially co-expressed genes and prognosis.Methods:The transcriptomics data of the cancer genome atlas (TCGA)-colon adenocarcinoma (COAD) dataset and chip expression profile data of GSE68468 dataset were downloaded from TCGA and gene expression omnibus (GEO) databases based on bioinformatics methods, and differentially expressed gene (DEG) and the most significantly related weighted gene modules between normal tissues and colon cancer tissues were screened. Then, the differentially co-expressed genes related to colon cancer were screened out according to the intersection of differential genes and weighted genes. A protein-protein interaction (PPI) network was constructed, and the top ten core differentially co-expressed genes according to the maximal clique centrality (MCC) score were screened out by MCC calculation method. The expression of core genes in normal tissues and colon cancer tissues were further verified by TCGA-COAD dataset. Kaplan-Meier survival analysis was used to investigate the correlation between core genes and overall survival time and disease-free survival time of patients. The survival-related differentially co-expressed genes were verified by immunohistochemical staining in human protein atlas (HPA) database.Results:A total of 3 481 DEG of the TCGA-COAD dataset and 7 275 DEG of the GSE68468 dataset were screened out, and totally 237 differentially co-expressed genes were obtained. Ten core differentially co-expressed genes were obtained by the MCC calculation method of the PPI network, which were chloride channel accessory 1 ( CLCA1), mitogen-activated protein kinase 3, glucagon ( GCG), solute carrier family 26 member 3 ( SLC26 A3), nuclear receptor subfamily 1 group H member 4 ( NR1 H4), fatty acid binding protein 1 ( FABP1), guanylate cyclase activator 2A ( GUCA2 A), uridine diphosphate glucuronosyltransferase family 2 member A3 ( UGT2 A3), carnitine palmitoyltransferase 2 ( CPT2) and membrane spanning 4-domains A12 ( MS4 A12). Compared with those of the normal tissues, CLCA1, GCG, SLC26 A3, NR1 H4, FABP1, GUCA2 A, UGT2 A3, CPT2 and MS4 A12 of colon cancer tissues of the TCGA-COAD dataset were all down-regulated (all P<0.05). Among them, the overall survival time and disease-free survival time of patients with colon cancer with high expression of CLCA1 were both longer than those with low expression (both P<0.05). The results of immunohistochemical staining also verified the accuracy of the results at the protein level. Conclusions:CLCA1 may play a key role in the development of colon cancer, and it can be used as a potential biomarker for further diagnosis and treatment.
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Objective To observe the clinical efficacy of yang-supplementing moxibustion in treating cancer-induced fatigue of yang-deficiency type. Method Seventy-five patients with cancer-induced fatigue of yang-deficiency type were randomized into 3 groups by using random number table: yang-supplementing fire moxibustion group, fire therapy group, and a conventional control group, 25 patients in each group. The improvements of fatigue, quality of life and traditional Chinese medicine (TCM) syndrome were observed. Result The three treatment protocols were all effective in improving fatigue, quality of life and TCM syndrome, and the effects of yang-supplementing fire moxibustion were more significant than the other two treatments, and that of fire therapy group was superior to that of the conventional control group. Conclusion Yang-supplementing fire moxibustion can effectively improve fatigue, yang-deficiency symptoms, and the quality of life in cancer-induced fatigue of yang-deficiency type.
