Atherosclerosis is a complex disease characterized by lipid accumulation in the vascular wall and influenced by multiple genetic and environmental factors. To understand the mechanisms of molecular regulation related to atherosclerosis better, a protein interaction network was constructed in the present study. Genes were collected in nucleotide database and interactions were downloaded from Biomolecular Object Network Database (BOND). The interactional data were imported into the software Cytoscape to construct the interaction network, and then the degree characteristics of the network were analyzed for Hub proteins. Statistical significance pathways and diseases were figured out by inputting Hub proteins to KOBAS2.0. The complete pathway network related to atherosclerosis was constructed. The results identified a series of key genes related to atherosclerosis, which would be the potential promising drug targets for effective prevention.
Objective To investigate and analyze the epidemic characteristics and factors of pulmonary tuberculosis (PTB) to provide foundation and make prevention and treatment policy. Methods Statistical analysis was conducted to analyze the current existing PTB prevention and control data in the Center for Disease Control and Prevention of Zhushan County and corresponding prevention and treatment policy was proposed. Results Since 1997 when PTB was included into B infectious diseases in Zhushan County, 4 431 cases of PTB had been reported by the end of 2009. Annual reported incidence rate was 74.73 per 100 000 and the disease was found in 17 towns. All seasons witnessed the incidence but winter and summer had more sufferer. The youngest patient was 4 months whereas the oldest was 86 years old. The majority of the patients were from 20 to 59 years old, peasants were the main patients, and the incidence of male was higher than that of female. The use of chemotherapy resulted in a significant decline of PTB death rate. Poor immunity of elder group, population flow caused by poverty, low detection rate of patients and AIDS were the major causes to PTB epidemic. A lack of prevention and treatment in the grassroots hospital and difficulty to fully implement the Directly Observed Treatment, Short-course (DOTS) strategy in remote areas were also bottlenecks to PTB control process. Conclusion The followings should be performed to improve the quality of DOTS strategy implementation: strengthen the government’s commitment, provide policy and funding safeguard, conduct health education and health promotion widely, reinforce management according to the law, fully implement the DOTS strategy, and fortify the prevention and control construction.
Objective To study the effect of knockdown of signal transducer and activator of transcription 3 (STAT3) expression by short hairpin RNA (shRNA) on proliferation, apoptosis and invasion of human gastric cancer cell line MKN-45 in vitro . Methods Specific shRNA plasmids to STAT3 were constructed, and then transfected into MKN-45 cells by lipofectamine methods. Cells were divided into three groups: control group, psiRNA-H1 transfected group as negative group and psiRNA-H1/STAT3 transfected group. Semi-quantitative RT-PCR and Western blotting were used to detect the expression of STAT3 mRNA and protein, respectively. Proliferation and apoptosis of the transfected cells were observed by methyl thiazolyl tetrazolium (MTT) method and flow cytometry (FCM), respectively. The invasion of the transfected MKN-45 cells was measured by Boyden chamber. Results Compared with the negative control cells, semi-quantitative RT-PCR and Western blotting showed that the expressions of STAT3 mRNA and protein were down-regulated in the psiRNA-H1/STAT3 transfected group ( P ＜ 0.05) . The subcloned recombinant plasmid expressing shRNA effectively inhibited MKN-45 cell growth and proliferation while empty plasmid had no such specific effect. Cell apoptosis rate increased significantly in psiRNA-H1/STAT3 transfected group （ P ＜ 0.01）, and the invasion of MKN-45 cells was efficiently inhabited in psiRNA-H1/STAT3 transfected group as compared with control group and psiRNA-H1 transfected group( P ＜ 0.01).Conclusion Recombinant plasmid psiRNA-H1/STAT3 shRNA significantly inhibits the proliferation and invasion of MKN-45 cells and promotes their apoptosis.
OBJECTIVE This paper is aimed to observe the long-term result of reconstruction of wrist joint by replacing distal end of radius with vascularized fibular head in patient of giant tumor. METHODS From July 1978 to November 1993, 12 cases of giant tumor of distal end of radius were treated by this procedure and followed up for 6 months to 15 years, and the movement range of wrist, grip strength, and pain were evaluated. RESULTS The painful wrist released in 11 cases, only one case still existed mild pain and felt discomfortable. The average range of movement of wrist joint was 34.05 degree in volar flexion, 52.80 degree in dorsal extension, 26.25 degree in ulnar deviation, and 19.75 degree in radial deviation, and average grip strength was 44.6 kg. Compared with the contralateral side, there were accounted for 46.2%, 72.7%, 76.1%, 80.6%, and 76.7% respectively. CONCLUSION Replacement of distal end of radius with fibular head to reconstruct wrist joint can restore function of carpal joint, which is proved to be a safe and effective method.
Objective To investigate the relationship between the level of serum-insulin like growth factor-1( IGF-1) and the nut ritional status of cancerous cachexia. Methods Colon cancer CT-26 cells were implanted subcutaneously to 30 liver2specified IGF-1 gene deleted (L ID) C57BL/ 6 mice to establish cancerous cachexia model and theother 30 C57BL/ 6 mice were included as cont rol group. The serum levels of IGF-1 , cytokine TNF-αand IL-6 , bloodglucose , albumin and t riglyceride were detected respectively on day 14 , 18 and 22 af ter the plantation of tumor. Thebody weight of mice , tumor weight and the weight af ter tumor removed in two group s were measured respectively.Results Af ter the plantation , the levels of IGF-1 in L ID group at different times were all significantly lower thanthose in cont rol group ( Plt; 0. 05) . The serum levels of TNF-α, IL-6 , blood glucose and t riglyceride were ascendinggradually over time ( Plt; 0. 05) , but weight s af ter tumor removed and the level of albumin were descending in twogroup s ( Plt; 0. 05) . Compared with the cont rol group , the serum levels of IL-6 , TNF-α, blood glucose and t riglyceride in L ID tumor-bearing mice were all significantly higher at different time point s ( P lt; 0. 05) . On day 18 and 22 ,the weight s af ter tumor removed and the amount of ingestion in L ID group were significantly lower than those in thecont rol group ( Plt; 0. 05) . Conclusion Compared with the low level of IGF-1 in cancerous cachexia , normal level ofserum IGF-1 may represent lower degree of cancerous cachexia2related cytokines and better nut ritional state , whichmay provide a novel idea of the therapy of cancerous cachexia.
ObjectiveTo analyze the epidemiological characteristics and factors and detection ways of leprosy in Zhushan county in Hubei province, so as to provide scientific basis for developing measures to treat and prevent leprosy after basic elimination. MethodsWe summarized the detection rate, incidence and prevalence of leprosy in Zhushan county in Hubei province during 1955-2012; compared the stage when detecting leprosy, deformity/disability rates and costs according to different detection ways; and conducted descriptive epidemiological analysis. ResultsLeprosy outbreak distribution in Zhushan county in Hubei province covered 17 villages/towns, of which patients were the most in 4 southeast villages/towns. Among 123 cases of patients with leprosy, the youngest aged 4, the oldest aged 74, and the patients aged 20-39 were the most (42.28%); the sex ratio were 1.73 to 1 (male to female); most patients were peasants (83.74%); the main infection sources were family members and neighbours (45.53%, respectively); economic level, health and living condition were the main factors relevant to the prevalence of leprosy; and applying tests in people with foci contact history detected the most patients with leprosy on early stage, which caused the lowest deformity/disability rates. ConclusionWe should consistently strengthen the training of medical personnel; improve medical personnel ability of detecting leprosy; take tests for people with foci contact history and tracking as active detection ways; monitoring patients' family members as well as close contacts during 10-year latent period; and conduct timely tracking, so as to in time detect, isolate, and treat patients with leprosy, reduce the incidence of deformity/disability, and control the transition of leprosy.
ObjectiveTo investigate key differentially expressed genes (DEGs) in peripheral blood of idiopathic epilepsy patients, as well as their biological functions, cellular localization, involved signaling pathways, through bioinformatics analysis. So to provide new insights for the pathogenesis and prevention of idiopathic epilepsy.MethodsFirstly, we screened and downloaded microarray data including 6 peripheral blood samples of drug-naive patients with idiopathic epilepsy, 8 peripheral blood samples of responders of idiopathic epilepsy treated with Valproate (VPA), and 10 peripheral blood samples of non-responders of idiopathic epilepsy treated with VPA from Gene Expression Omnibus (GEO) data series GSE143272, which Public in January 2020. Secondly, we identified DEGs via the limma package and others in R software. Then we had gotten 74 DEGs, and subsequently conducted gene ontology and pathway enrichment analysis, PPI network analysis and hub gene analysis, using multiple methods containing DAVID, STRING, and Cytohubba in Cytoscape.ResultsWe had identified significant hub DEGs, including TREML3P, KCNJ15, ORM1, RNA28S5, ELANE, RETN, ARG1, LCN2, SLPI, HP, PGLYRP1, BPI, DEFA4, TCN1, MPO, MMP9, CTSG, CXCL8, RNASE3, RNASE2, S100A12, DEFA1B, DEFA1, DEFA3, CEACAM8, MS4A3, PTGS2, PI3, CCL3. The biological processes involved in these DEGs include immune response, inflammatory response, chemotaxis, etc. While, the molecular function is focused on peroxidase activity, chemokine activity, etc. Moreover, KEGG pathway enrichment analysis shows that DEGs were mainly involved in cytokine-cytokine receptor interaction, Toll-like receptor signaling pathway, chemokine signaling pathway and so on.ConclusionThese important key DEGs may be involved in the onset and development of idiopathic epilepsy through a variety of signaling pathways and complex mechanisms.
Objective To explore the pathogenesis of acute respiratory disease syndrome (ARDS) by bioinformatics analysis of neutrophil gene expression profile in order to find new therapeutic targets. Methods The gene expression chips include ARDS patients and healthy volunteers were screened from the Gene Expression Omnibus (GEO) database. The differentially expressed genes were carried out through GEO2R, OmicsBean, STRING, and Cytoscape, then enrichment analysis of Gene Ontology (GO) and Kyoto Encyclopedia of Gene and Genomes (KEGG) pathways was conducted to investigate the biological processes involved in ARDS via DAVID website. Results Bioinformatics analysis showed 86 differential genes achieved through the GEO2R website. Eighty-one genes were included in the STRING website for protein interaction analysis. The results of the interaction were further analyzed by Cytoscape software to obtain 11 hub genes: AHSP, ALAS2, CD177, CLEC4D, EPB42, GPR84, HBD, HVCN1, KLF1, SLC4A1, and STOM. GO analysis showed that the differential gene was enriched in the cellular component, especially the integrity of the plasma membrane. KEGG analysis showed that multiple pathways especially the cytokine receptor pathway involved in the pathogenesis of ARDS. Conclusions A variety of genes and pathways have been involved in the pathogenesis of ARDS. Eleven hub genes are screened, which may be involved in the pathogenesis of ARDS and can be used in subsequent studies.
Objective To explore the potential mechanism of the occurrence and development of lupus nephritis (LN) and identify key biomarkers and immune-related pathways associated with the progression of LN. Methods We downloaded a dataset from the Gene Expression Omnibus database. By analyzing the differential expression of genes and performing weighted gene co-expression network analysis (WGCNA), as well as Gene Ontology enrichment, Disease Ontology enrichment, and Kyoto Encyclopedia of Genes and Genomes pathway enrichment, we explored the biological functions of differentially expressed genes in LN. Using three machine learning models, namely LASSO regression, support vector machine, and random forest, we identified the hub genes in LN, and constructed a line diagram diagnosis model based on the hub genes. The diagnostic accuracies of the hub genes were evaluated using the receiver operating characteristic curve, and the relationship between known marker gene sets and hub gene expression was analyzed using single sample gene set enrichment analysis. Results We identified a total of 2297 differentially expressed genes. WGCNA generated 7 co-expression modules, among which the cyan module had the highest correlation with LN. We obtained 347 target genes by combining differential genes. Using the three machine learning methods, LASSO regression, support vector machine, and random forest, we identified three hub genes (CLC, ADGRE4P, and CISD2) that could serve as potential biomarkers for LN. The area under the receiver operating characteristic curve (AUC) analysis showed that these three hub genes had significant diagnostic value (AUCCLC=0.718, AUCADGRE4P=0.813, AUCCISD2=0.718). According to single sample gene set enrichment analysis, the hub genes were mainly associated with apoptosis, glycolysis, metabolism, hypoxia, and tumor necrosis factor-α-nuclear factor-κB-related pathways. Conclusions By combining WGCNA and machine learning techniques, three hub genes (CLC, ADGRE4P, and CISD2) that may be involved in the occurrence and development of LN are identified. These genes have the potential to aid in the early clinical diagnosis of LN and provide insight into the mechanisms underlying LN progression.
Currently, about one-third of patients with anti-epilepsy drug or resective surgery continue to have sezure, the mechanism remin unknown. Up to date, the main target for presurgical evaluation is to determene the EZ and SOZ. Since the early nineties of the last century network theory was introduct into neurology, provide new insights into understanding the onset, propagation and termination. Focal seizure can impact the function of whole brain, but the abnormal pattern is differet to generalized seizure. Brain network is a conception of mathematics. According to the epilepsy, network node and hub are related to the treatment. Graphy theory and connectivity are main algorithms. Understanding the mechanism of epilepsy deeply, since study the theory of epilepsy network, can improve the planning of surgery, resection epileptogenesis zone, seizure onset zone and abnormal node of hub simultaneously, increase the effect of resectiv surgery and predict the surgery outcome. Eventually, develop new drugs for correct the abnormal network and increase the effect. Nowadays, there are many algorithms for the brain network. Cooperative study by the clinicans and biophysicists instituted standard and extensively applied algorithms is the precondition of widely used clinically.