Effects of NCSTN Mutation on Hair Follicle Components in Mice.

BACKGROUND AND OBJECTIVES: Hidradenitis suppurativa (HS)/acne inversa is an intractable skin disease that is characterized by destructive lesions - primarily on the flexural areas. Although its etiology is unknown, genetics is considered to be a factor of its pathology - mutations in γ-secretase genes have been identified in certain familial HS patients, and follicular occlusion is widely accepted as the primary cause of HS. But, no relationship between these mutations and the components of hair follicles has been reported. Thus, we examined changes in these components in mice with a mutation in NCSTN (a γ-secretase gene). METHODS: We generated C57BL/6 mice with an NCSTN mutation and examined their expression of hair cortex cytokeratin and trichohyalin by Western blot and immunohistochemistry, in addition to nicastrin, the product of NCSTN, and NICD compared with wild-type mice. The structure of hair follicles was analyzed by hematoxylin-eosin staining and transmission electron microscopy. RESULTS: In mice with an NCSTN mutation, HS-like skin lesions appeared after age 6 months, the pathological manifestations of which were consistent with the features of human HS. The structure of hair follicles was abnormal in mice with an NCSTN mutation versus wild-type mice, and hair cortex cytokeratin, trichohyalin, nicastrin, and NICD were downregulated in these mice. CONCLUSIONS: This NCSTN mutant mouse model could be an improved model to study early lesion development aspects of human HS pathogenesis and could perhaps be a better alternative for evaluating early-acting and preventive therapeutics for HS experimentally before clinical trials in HS patients. NCSTN mutations disrupt the development of hair follicles, leading to abnormal hair follicle structures, perhaps resulting in the onset of HS.

Additional common loci associated with stroke and obesity identified using pleiotropic analytical approach.

Stroke is a complex disease with multiple etiologies. Numerous studies suggest an established association between obesity and stroke, which may partly arise from the shared genetic components between the two phenotypes. Despite genome-wide association studies (GWASs) have identified some loci associated with stroke and obesity individually, the estimated genetic variability explained by these loci is limited (especially for stroke) and the pleiotropic loci between them are largely unknown. In this study, we jointly applied the pleiotropy-informed conditional false discovery rate (cFDR) method and the genetic analysis incorporating pleiotropy and annotation (GPA) method on summary statistics of two large GWASs to detect the genetic overlap between stroke (n = 446,696) and obesity (n = 681,275). Stratified Q-Q and fold-enrichment plots showed strong pleiotropic enrichment between the two phenotypes. With cFDR < 0.05 and fdr.GPA < 0.2, we identified 24 (16 novel) stroke-associated SNPs and 12 (10 novel) of them to be potentially pleiotropic SNPs for both phenotypes. The corresponding genes were enriched in trait-associated gene ontology (GO) terms "brain development" and "negative regulation of transport". In conclusion, our study demonstrated the feasibility and effectivity of the two pleiotropic methods which successfully improved the genetic discovery by incorporating related GWAS datasets and validated the genetic intercommunity between stroke and obesity. The identification of pleiotropic loci may provide us any new insights into potential genetic and etiology mechanism between them for the further studies.

Prediction of long noncoding RNA functions with co-expression network in esophageal squamous cell carcinoma.

BACKGROUND: Long non-coding RNAs (lncRNAs) are pervasively transcribed in the genome. They have important regulatory functions in chromatin remodeling and gene expression. Dysregulated lncRNAs have been studied in cancers, but their role in esophageal squamous cell carcinoma (ESCC) remains largely unknown. We have conducted lncRNA expression screening and a genome-wide analysis of lncRNA and coding gene expression on primary tumor and adjacent normal tissue from four ESCC patients, tend to understand the functionality of lncRNAs in carcinogenesis of esopheagus in combination with experimental and bioinformatics approach. METHODS: LncRNA array was used for coding and non-coding RNA expression. R program and Bioconductor packages (limma and RedeR) were used for differential expression and co-expression network analysis, followed by independent confirmation and functional studies of inferred onco-lncRNA ESCCAL-1 using quantitative real time polymerase chain reaction, small interfering RNA-mediated knockdown, apoptosis and invasion assays in vitro. RESULTS: The global coding and lncRNA gene expression pattern is able to distinguish ESCC from adjacent normal tissue. The co-expression network from differentially expressed coding and lncRNA genes in ESCC was constructed, and the lncRNA function may be inferred from the co-expression network. LncRNA ESCCAL-1 is such an example as a predicted novel onco-lncRNA, and it is overexpressed in 65% of an independent ESCC patient cohort (n = 26). More over, knockdown of ESCCAL-1 expression increases esophageal cancer cell apoptosis and reduces the invasion in vitro. CONCLUSION: Our study uncovered the landscape of ESCC-associated lncRNAs. The systematic analysis of coding and lncRNAs co-expression network increases our understanding of lncRNAs in biological network. ESCCAL-1 is a novel putative onco-lncRNA in esophageal cancer development.

Clinical predictive value of pre-pregnancy tests for unexplained recurrent spontaneous abortion: a retrospective study.

Introduction: Early prediction and intervention are crucial for the prognosis of unexplained recurrent spontaneous abortion (uRSA). The main purpose of this study is to establish a risk prediction model for uRSA based on routine pre-pregnancy tests, in order to provide clinical physicians with indications of whether the patients are at high risk. Methods: This was a retrospective study conducted at the Prenatal Diagnosis Center of Henan Provincial People's Hospital between January 2019 and December 2022. Twelve routine pre-pregnancy tests and four basic personal information characteristics were collected. Pre-pregnancy tests include thyroid-stimulating hormone (TSH), free triiodothyronine (FT3), free thyroxine thyroid (FT4), thyroxine (TT4), total triiodothyronine (TT3), peroxidase antibody (TPO-Ab), thyroid globulin antibody (TG-Ab), 25-hydroxyvitamin D [25-(OH) D], ferritin (Ferr), Homocysteine (Hcy), vitamin B12 (VitB12), folic acid (FA). Basic personal information characteristics include age, body mass index (BMI), smoking history and drinking history. Logistic regression analysis was used to establish a risk prediction model, and receiver operating characteristic (ROC) curve and decision curve analysis (DCA) were employed to evaluate the performance of prediction model. Results: A total of 140 patients in uRSA group and 152 women in the control group were randomly split into a training set (n = 186) and a testing set (n = 106). Chi-square test results for each single characteristic indicated that, FT3 (p = 0.018), FT4 (p = 0.048), 25-(OH) D (p = 0.013) and FA (p = 0.044) were closely related to RSA. TG-Ab and TPO-Ab were also important characteristics according to clinical experience, so we established a risk prediction model for RSA based on the above six characteristics using logistic regression analysis. The prediction accuracy of the model on the testing set was 74.53%, and the area under ROC curve was 0.710. DCA curve indicated that the model had good clinical value. Conclusion: Pre-pregnancy tests such as FT3, FT4, TG-Ab, 25-(OH)D and FA were closely related to uRSA. This study successfully established a risk prediction model for RSA based on routine pre-pregnancy tests.

Feasibility study of semiconductor sequencing for noninvasive prenatal detection of fetal aneuploidy.

BACKGROUND: Noninvasive prenatal detection of common fetal aneuploidies with cell-free DNA from maternal plasma has been achieved with high-throughput next-generation sequencing platforms. Turnaround times for previously tested platforms are still unsatisfactory for clinical applications, however, because of the time spent on sequencing. The development of semiconductor sequencing technology has provided a way to shorten overall run times. We studied the feasibility of using semiconductor sequencing technology for the noninvasive detection of fetal aneuploidy. METHODS: Maternal plasma DNA from 13 pregnant women, corresponding to 4 euploid, 6 trisomy 21 (T21), 2 trisomy 18 (T18), and 1 trisomy 13 (T13) pregnancies, were sequenced on the Ion Torrent Personal Genome Machine sequencer platform with 318 chips. The data were analyzed with the T statistic method after correcting for GC bias, and the T value was calculated as an indicator of fetal aneuploidy. RESULTS: We obtained a mean of 3 524 401 high-quality reads per sample, with an efficiency rate of 77.9%. All of the T21, T13, and T18 fetuses could be clearly distinguished from euploid fetuses, and the time spent on library preparation and sequencing was 24 h. CONCLUSIONS: Semiconductor sequencing represents a suitable technology for the noninvasive prenatal detection of fetal aneuploidy. With this platform, sequencing times can be substantially reduced; however, a further larger-scale study is needed to determine the imprecision of noninvasive fetal aneuploidy detection with this system.

Effect of FAK, DLC-1 gene expression on OVCAR-3 proliferation.

The study investigates the effect of FAK, DLC-1 on OVCAR-3 proliferation. FAK gene siRNA vector recombinant plasmid was constructed using RNA interference technique. FAK gene-transfected OVCAR-3 cells, OVCAR-3 cells with DLC-1 gene expression, and OVCAR-3 cells with simultaneous expression of DLC-1 and FAK genes were obtained using gene transfection technology. In addition, siRNA control group and blank control were also given. Effect of FAK, DLC-1 gene expression on OVCAR-3 proliferation was examined by FCM and Cell Counting Kit-8 (CCK-8) methods. Results showed that DLC-1 gene high expression and FAK gene silencing, single silencing FAK gene, and single DLC-1 gene high expression in OVCAR-3 cells may decrease S and G2/M phase proportion of the cell cycle. Moreover, DLC-1 gene high expression and FAK gene silencing in OVCAR-3 cells can display the most significant effect. This confirmed that DLC-1 gene high expression and FAK gene silencing may significantly inhibit the OVCAR-3 cells proliferation. CCK-8 analysis showed that silence FAK gene expression or/and increasing DLC-1 gene expression may decrease OVCAR-3 growth rate. Moreover, simultaneous silence the expression of FAK gene and high expression of DLC-1 gene can display the most significant effect on OVCAR-3 growth. It can be concluded that downregulation of FAK gene expression or/and upregulation of DLC-1 gene expression can all inhibit the OVCAR-3 growth. Moreover, DLC-1 gene expression and FAK gene silencing can display the most marked inhibitory effect on the OVCAR-3 growth.

Methylation-Mediated Silencing of RBP7 Promotes Breast Cancer Progression through PPAR and PI3K/AKT Pathway.

Retinoid-binding protein7 (RBP7) is a member of the cellular retinol-binding protein (CRBP) family, which is involved in the pathogenesis of breast cancer. The study aims to illustrate the prognostic value and the potential regulatory mechanisms of RBP7 expression in breast cancer. Bioinformatics analysis with the TCGA and CPTAC databases revealed that the mRNA and protein expression levels of RBP7 in normal were higher compared to breast cancer tissues. Survival analysis displayed that the lower expression of RBP7, the worse the prognosis in ER-positive (ER+) breast cancer patients. Genomic analysis showed that low expression of RBP7 correlates with its promoter hypermethylation in breast cancer. Functional enrichment analysis demonstrated that downregulation of RBP7 expression may exert its biological influence on breast cancer through the PPAR pathway and the PI3K/AKT pathway. In summary, we identified RBP7 as a novel biomarker that is helpful for the prognosis of ER+ breast cancer patients. Promoter methylation of RBP7 is involved in its gene silencing in breast cancer, thus regulating the occurrence and development of ER+ breast cancer through the PPAR and PI3K/AKT pathways.

Monophosphoryl lipid A-induced delayed preconditioning in rat small intestine is mediated by calcitonin gene-related peptide.

BACKGROUND: Protective effects of ischemic preconditioning in rat small intestine have been shown to be related to the release of calcitonin gene-related peptide. AIMS: The purpose of the present study was to explore whether monophosphoryl lipid A participated in the protective process of the delayed ischemic preconditioning in the peripheral vascular bed (the anse intestinalis of rat), and whether endogenous calcitonin gene-related peptide is a mediator in this process. METHODS: Intestinal ischemia was induced by occlusion of the superior mesenteric artery for 30 min, followed by reperfusion for 60 min. The intestinal lesions were evaluated by the measurement of serum lactate dehydrogenase, myeloperoxidase levels, and small intestine tissue contents of malondialdehyde. In addition, calcitonin gene-related peptide in plasma and superior mesenteric vein effluent were also examined. RESULTS: Pretreatment with monophosphoryl lipid A (500 µg/kg. i.p.) 24 h prior to ischemia-reperfusion significantly alleviated the intestinal tissue histology lesions, decreased serum levels of lactate dehydrogenase, myeloperoxidase, and reduced tissue content of malondialdehyde. Moreover, monophosphoryl lipid A markedly increased plasma concentrations of calcitonin gene-related peptide. Pretreatment with capsaicin, which specifically depletes the neurotransmitter content of sensory nerves or calcitonin gene-related peptide-(8-37), a selective calcitonin gene-related peptide receptor antagonist, inhibited the increased calcitonin gene-related peptide release and subsequently abrogated the protection by monophosphoryl lipid A. CONCLUSIONS: In conclusion, monophosphoryl lipid A pharmacologically mimics delayed preconditioning and the protective effects are related to the stimulation of calcitonin gene-related peptide release in rat small intestine.

LncRNA SNHG6 knockdown inhibits cisplatin resistance and progression of gastric cancer through miR-1297/BCL-2 axis.

Cisplatin (DDP) resistance is a huge obstacle to gastric cancer (GC) treatment. Long non-coding RNAs (lncRNAs) have been manifested to exert pivotal functions in GC development. Herein, we aimed to explore the functional impact of lncRNA small nucleolar RNA host gene 6 (SNHG6) on DDP resistance and progression of GC. Quantitative real-time PCR (qRT-PCR) assay or Western blotting was performed to detect the expression of SNHG6, microRNA(miR)-1297, and epithelial-mesenchymal transition (EMT)-related factors and B-Cell Lymphoma 2 (Bcl-2) in DDP-resistant GC cells. Half inhibition concentration (IC50) to DDP, clonogenicity, apoptosis and invasion were examined via CCK-8 assay, colony formation assay, flow cytometry and Transwell assay, respectively. Target association between miR-1297 and SNHG6 or BCL-2 was demonstrated via dual-luciferase reporter assay or RIP assay. Xenograft models in nude mice were formed to investigate role of SNHG6 in vivo. We found that SNHG6 and BCL-2 were up-regulated, while miR-1297 expression was declined in GC tissues and DDP-resistant cells. Moreover, depletion of SNHG6 or gain of miR-1297 could repress DDP resistance, proliferation and metastasis of DDP-resistant cells, which was weakened by miR-1297 inhibition or BCL-2 overexpression. Besides, SNHG6 positively regulated BCL-2 expression by sponging miR-1297. Furthermore, SNHG6 knockdown repressed GC tumor growth in vivo. In a word, lncRNA SNHG6 knockdown had inhibitory effects on DDP resistance and progression of GC by sponging miR-1297, highlighting its potential in GC treatment.

Long non-coding RNA SLC2A1-AS1 induced by GLI3 promotes aerobic glycolysis and progression in esophageal squamous cell carcinoma by sponging miR-378a-3p to enhance Glut1 expression.

BACKGROUND: Emerging evidence demonstrates that lncRNAs play pivotal roles in tumor energy metabolism; however, the detailed mechanisms of lncRNAs in the regulation of tumor glycolysis remain largely unknown. METHODS: The expression of SLC2A1-AS1 was investigated by TCGA, GEO dataset and qRT-PCR. The binding of GLI3 to SLC2A1-AS1 promoter was detected by Luciferase Reporter Assay System and Ago2-RIP assay. FISH was performed to determine the localization of SLC2A1-AS1 in ESCC cells. Double Luciferase Report assay was used to investigate the interaction of miR-378a-3p with SLC2A1-AS1 and Glut1. Gain-of-function and Loss-of-function assay were performed to dissect the function of SLC2A1-AS1/miR-378a-3p/Glut1 axis in ESCC progression in vitro and in vivo. RESULTS: We identified a novel lncRNA SLC2A1-AS1 in ESCC. SLC2A1-AS1 was frequently overexpressed in ESCC tissues and cells, and its overexpression was associated with TNM stage, lymph node metastasis and poor prognosis of ESCC patients. Importantly, GLI3 and SLC2A1-AS1 formed a regulatory feedback loop in ESCC cells. SLC2A1-AS1 promoted cell growth in vitro and in vivo, migration and invasion, and suppressed apoptosis, leading to EMT progression and increased glycolysis in ESCC cells. SLC2A1-AS1 functioned as ceRNA for sponging miR-378a-3p, resulting in Glut1 overexpression in ESCC cells. MiR-378a-3p inhibited cell proliferation and invasion as well as induced apoptosis, resulting in reduced glycolysis, which was partly reversed by SLC2A1-AS1 or Glut1 overexpression in ESCC cells. CONCLUSION: SLC2A1-AS1 plays important roles in ESCC development and progression by regulating glycolysis, and SLC2A1-AS1/miR-378a-3p/Glut1 regulatory axis may be a novel therapeutic target in terms of metabolic remodeling of ESCC patients.

Development of a Novel Highly Spontaneous Metastatic Model of Esophageal Squamous Cell Carcinoma Using Renal Capsule Technology.

PURPOSE: Increasing evidence has demonstrated that animal models are imperative to investigate the potential molecular mechanism of metastasis and discover anti-metastasis drugs; however, efficient animal models to unveil the underlying mechanisms of metastasis in esophageal squamous cell carcinoma (ESCC) are limited. METHODS: ESCC cell EC9706 with high invasiveness was screened by repeated Transwell assays. Its biological characteristics were identified by flow cytometry as well as by the wound healing and CCK-8 assays. Besides, the levels of epithelial-mesenchymal transition-related markers were examined using Western blotting. Parental (EC9706-I0) and subpopulation (EC9706-I3) cells were employed to establish the renal capsule model. Next, the tumor growth was detected by a live animal imaging system, and hematoxylin and eosin staining was applied to evaluate the metastatic status in ESCC. RESULTS: EC9706-I3 cells showed rapid proliferation ability, S phase abundance, and high invasive ability; obvious upregulation in N-cadherin, Snail, Vimentin, and Bit1; and downregulation in E-cadherin. EC9706-I3 cells were less sensitive to the chemotherapy drug 5-fluorouracil than EC9706-I0 cells; however, both cell lines reached a tumorigenesis rate of 100% in the renal capsule model. The live animal imaging system revealed that the tumors derived from EC9706-I0 cells grew more slowly than those from EC9706-I3 cells at weeks 3-14. The EC9706-I3 xenograft model displayed a spontaneous metastatic site, including kidney, heart, liver, lung, pancreas, and spleen, with a distant metastatic rate of 80%. CONCLUSION: Our data suggested that the metastatic model was successfully established, providing a novel platform for further exploring the molecular mechanisms of metastasis in ESCC patients.

Impact of injury-related deaths on life expectancy in China, 2016.

This study aimed to illustrate the impact of injury-related deaths on life expectancy in China in 2016 and to identify the high-risk population. Standard life tables were used to calculate life expectancy and cause-eliminated life expectancy by utilizing mortality data from the national mortality surveillance system. In 2016, the life expectancy of Chinese residents was 78.91 years. After eliminating injury-related mortality, the life expectancy of the residents increased by 1.13 years, which was higher in male and rural residents compared with female and urban residents. The life expectancy on the Eastern and Central regions increased slowly compared with the Western region. The greatest influencing factor on life expectancy was road traffic injuries, followed by falls. Falls had a greater impact on life expectancy for children under 5 years old and those aged over 65 years. This study indicates that deaths caused by injury had a noteworthy impact on life expectancy in China. More attention should be paid to road traffic injuries, and effective preventive measures should be taken to reduce deaths related to injury to increase the life expectancy of residents, especially in children under 5 years and adults over 65 years. By reducing the deaths caused by injury, the life expectancy level is likely to further improve.

Improved detection of common variants in coronary artery disease and blood pressure using a pleiotropy cFDR method.

Plenty of genome-wide association studies (GWASs) have identified numerous single nucleotide polymorphisms (SNPs) for coronary artery disease (CAD) and blood pressure (BP). However, these SNPs only explain a small proportion of the heritability of two traits/diseases. Although high BP is a major risk factor for CAD, the genetic intercommunity between them remain largely unknown. To recognize novel loci associated with CAD and BP, a genetic-pleiotropy-informed conditional false discovery rate (cFDR) method was applied on two summary statistics of CAD and BP from existing GWASs. Stratified Q-Q and fold enrichment plots showed a high pleiotropic enrichment of SNPs associated with two traits. Adopting a cFDR of 0.05 as a threshold, 55 CAD-associated loci (25 variants being novel) and 47 BP loci (18 variants being novel) were identified, 25 of which were pleiotropic loci (13 variants being novel) for both traits. Among the 32 genes these 25 SNPs were annotated to, 20 genes were newly detected compared to previous GWASs. This study showed the cFDR approach could improve gene discovery by incorporating GWAS datasets of two related traits. These findings may provide novel understanding of etiology relationships between CAD and BP.

Development and validation of prediction models for hypertension risks in rural Chinese populations.

BACKGROUND: Various hypertension predictive models have been developed worldwide; however, there is no existing predictive model for hypertension among Chinese rural populations. METHODS: This is a 6-year population-based prospective cohort in rural areas of China. Data was collected in 2007-2008 (baseline survey) and 2013-2014 (follow-up survey) from 8319 participants ranging in age from 35 to 74 years old. Specified gender hypertension predictive models were established based on multivariate Cox regression, Artificial Neural Network (ANN), Naive Bayes Classifier (NBC), and Classification and Regression Tree (CART) in the training set. External validation was conducted in the testing set. The estimated models were assessed by discrimination and calibration, respectively. RESULTS: During the follow-up period, 432 men and 604 women developed hypertension in the training set. Assessment for established models in men suggested men office-based model (M1) was better than others. C-index of M1 model in the testing set was 0.771 (95% confidence Interval (CI) = 0.750, 0.791), and calibration χ2 = 6.3057 (P = 0.7090). In women, women office-based model (W1) and ANN were better than the other models assessed. The C-indexes for the W1 model and the ANN model in the testing set were 0.765 (95% CI = 0.746, 0.783) and 0.756 (95% CI = 0.737, 0.775) and the calibrations χ2 were 6.7832 (P = 0.1478) and 4.7447 (P = 0.3145), respectively. CONCLUSIONS: Not all machine-learning models performed better than the traditional Cox regression models. The W1 and ANN models for women and M1 model for men have better predictive performance which could potentially be recommended for predicting hypertension risk among rural populations.

[TAp63gamma-induced apoptosis mediated by apoptosis inducing factor in human esophageal squamous carcinoma EC9706 cells].

OBJECTIVE: To study the molecular mechanism of TAp63gamma-induced cell apoptosis. METHODS: Transcription and protein expression of apoptosis inducing factor and p63 were investigated by immunohistochemistry and RT-PCR in human esophageal squamous carcinoma cell line EC9706 respectively. Twenty-four hours after transfection with pcDNA3.1-TAp63gamma, the apoptosis and translocation of apoptosis inducing factor in EC9706 cells were studied by flow cytometry, laser confocal microscopy and mitochondrial/cytosol/nuclear extraction analysis respectively. Down-regulation of apoptosis inducing factor protein was achieved by RNAi and pretreatment with caspase inhibitor zVAD.fmk of EC9706 cells. RESULTS: Presence of protein expressions of apoptosis inducing factor and absence of TAp63gamma was observed in the cytoplasm of untransfected cells. RT-PCR verified the subtype of p63 in EC9706 cells was DeltaNp63. After 24 hours of transfection, both nuclear and cytoplasmic expression of apoptosis inducing factor protein were observed in cells transfected with TAp63gamma and p53 expression vectors, but not in cells transfected with control vector. Cell apoptosis rates were 1.37%, 13.64%, 4.52%, 4.03% and 1.91% in the pcDNA3.1 transfection group, pcDNA3.1-TAp63gamma transfection group, apoptosis inducing factor siRNA and pcDNA3.1-TAp63gamma transfection group, zVAD.fmk treatment group, and the group receiving apoptosis inducing factor siRNA, plus zVAD.fmk treatment and pcDNA3.1-TAp63gamma transfection, respectively. CONCLUSIONS: Apoptosis inducing factor of EC9706 cells is released from mitochondria into both the cytoplasm and nucleus during TAp63gamma induced apoptosis. Down-regulation of apoptosis inducing factor inhibits TAp63gamma-induced apoptosis. Overall, TAp63gamma-induced apoptosis is dependent on the expression of apoptosis inducing factor and caspase.

Establishment of apoptotic regulatory network for genetic markers of colorectal cancer.

Our purpose is to screen out genetic markers applicable to early diagnosis for colorectal cancer and to establish apoptotic regulatory network model for colorectal cancer, thereby providing theoretical evidence and targeted therapy for early diagnosis of colorectal cancer. Taking databases including CNKI, VIP, Wanfang data, Pub Med, and MEDLINE as main sources of literature retrieval, literatures associated with genetic markers applied to early diagnosis of colorectal cancer were searched to perform comprehensive and quantitative analysis by Meta analysis, hence screening genetic markers used in early diagnosis of colorectal cancer. Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were employed to establish apoptotic regulatory network model based on screened genetic markers, and then verification experiment was conducted. Through Meta analysis, seven genetic markers were screened out, including WWOX, K-ras, COX-2, p53, APC, DCC and PTEN, among which DCC shows highest diagnostic efficiency. GO analysis of genetic markers found that six genetic markers played role in biological process, molecular function and cellular component. It was indicated in apoptotic regulatory network built by KEGG analysis and verification experiment that WWOX could promote tumor cell apoptotic in colorectal cancer and elevate expression level of p53. The apoptotic regulatory model of colorectal cancer established in this study provides clinically theoretical evidence and targeted therapy for early diagnosis of colorectal cancer.

Establishment of optimal regulatory network of colorectal cancer based on p42.3 protein.

Objective: to establish regulatory network of colorectal cancer involving p42.3 protein and to provide theoretical evidence for deep functional exploration of p42.3 protein in the onset and development of colorectal cancer. Methods: with protein similarity algorithm, reference protein set of p42.3 cell apoptosis was built according to structural features of p42.3. GO and KEGG databases were used to establish regulatory network of tumor cell apoptosis involving p42.3; meanwhile, the largest possible working pathway that involves p42.3 protein was screened out based on Bayesian network theory. Besides, GO and KEGG were used to build regulatory network on early diagnosis gene markers for colorectal cancer including WWOX, K-ras, COX-2, p53, APC, DCC and PTEN, at the same time, a regulatory network of colorectal cancer cell apoptosis which involves p42.3 was established. Results: cell apoptotic regulatory network that p42.3 participates in primarily consists of Bcl-2 family genes and the largest possible pathway is p42.3 → FKBP → Bcl-2 centered as FKBP protein. Combined with colorectal cancer regulatory network that involves early diagnosis gene markers, it can be predicted that p42.3 is most likely to regulate the colorectal cancer cell apoptosis through FKBP → Bcl-2 → Bax → caspase-9 → caspase-3 pathway. Conclusion: the colorectal cancer apoptosis network based on p42.3 established in the study provides theoretical evidence for deep exploration of p42.3 regulatory mechanism and molecular targeting treatment of colorectal cancer.

Short-term efficacy and safety of three different antiplatelet regimens in diabetic patients treated with primary percutaneous coronary intervention: a randomised study.

BACKGROUND AND AIM: This study aimed to investigate the efficacy and safety of dual and triple antiplatelet therapy (DAPT and TAPT) in patients with diabetes and acute ST segment elevation myocardial infarction (D-STEMI), who had undergone primary percutaneous coronary intervention (PCI). METHODS: We designed a phase IV, single-centre, randomised, double-blind, placebo-controlled study. The D-STEMI patients (n = 258) were randomly divided into three groups. Control group A (85 patients), was treated with aspirin and clopidogrel; group B (87 patients) received aspirin, clopidogrel, and tirofiban; and group C (86 patients) were treated with aspirin, ticagrelor, and tirofiban. Patients in all three groups received oral DAPT, and patients in groups B and C received intravenous tirofiban when primary PCI was performed. RESULTS: Compared to the findings in group A, the post-PCI Thrombolysis in Myocardial Infarction (TIMI) grade 3 blood flow in groups B and C increased significantly (TIMI grade 3 in groups A, B, C: 74%, 91%, and 98%, respectively; TIMI myocardial perfusion grade [TMPG] grade 3 in groups A, B, C: 59%, 86%, and 97%, respectively), and the incidence of major adverse cardiac events (MACE) decreased significantly (p < 0.05). Compared to the findings in group B, the rate of TMPG 3 in group C was significantly higher (p < 0.05) and the incidence of MACE was significantly lower (p < 0.05). Patients in group B exhibited minor bleeding; however, the incidence of mild to moderate bleeding in group C increased significantly (p < 0.05). CONCLUSIONS: TAPT effectively improved the TIMI blood flow and TMPG and reduced the occurrence of MACE. Ticagrelor was more effective than clopidogrel in TAPT; however, when using the combination of aspirin, ticagrelor, and tirofiban, close monitoring is required for possible bleeding complications.

Application of intelligent algorithm in the optimization of novel protein regulatory pathway: Mechanism of action of gastric carcinoma protein p42.3.

AIMS: This purpose of the study was to optimize the regulatory mechanism of p42.3 novel protein molecule in gastric cancer and also verified it by the use of intelligent algorithms. SUBJECTS AND METHODS: Threading method was employed to analyze structural domain characteristics of p42.3 protein. Referential proteins were gathered and formed by domain homology and function similarity. Afterwards, the possible regulatory network of p42.3 was established by analyzing the acting pathways of the referential proteins. Spherical polar coordinates stratification and stratified multi-parameter weight were used for calculation of the similarity between the referential proteins and p42.3 protein, the result of which was taken as the prior probability of the initial node in Bayes network, thus the probability of occurrence of each pathway was figured out by using conditional probability formula, and the one with the biggest probability was considered as the possible pathway of p42.3. At last, molecular biological experiments were conducted to verify it. RESULTS: The acting pathway with the maximum probability predicted by Bayesian probability optimizing calculation was "S100A11" - RAGE - P38 - MAPK - Microtubule-associated protein - Spindle protein-Centromere protein - Cell proliferation" which was the most likely acting pathway participated by p42.3, and has been validated by biological experiments. CONCLUSIONS: By the theoretical analysis and experimental verification, this study confirmed that assumptions that p42.3 protein was related to the occurrence and development of gastric carcinoma, predicted and verified the acting pathways of p42.3, which will provide a new research direction of the relationship between p42.3 and gastric cancer, as well as the target therapy of gastric cancer. The algorithm in predicting the acting pathway of the protein also offers a new thought in studying new functional proteins.