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Background With the wide application of computed tomography angiography (CTA), it is found that carotid and vertebral arterial variation has a high incidence in ischemic stroke. The aim of our study was to investigate the relationship between carotid and vertebral artery variants and the risk of ischemic stroke through a prospective and large sample study. Methods Carotid and vertebral arterial variations in consecutive subjects were prospectively studied using CTA. Variations of the carotid and vertebral arteries were classified into tortuosity, kinking and coiling using the criteria established by Weibel and Fields. Tortuosity is defined as a non-rectilinear stretch of an artery with an angulation > 90–165°. Kinking is described as an acute angle between two arterial segments ≤ 90°. Coiling is defined as a 360°. We analyzed the association between arterial variations and the risk of stroke using multivariate Cox proportional-hazards models. Results A total of 29319 subjects aged 50 years or older (14391 males and 14928 females) were examined for carotid and vertebral arterial variations. Among all subjects who completed the five-year follow-up, 1841 (6.3%) cases of stroke were detected. The proportion of kinking and coiling in the carotid and vertebral arteries in subjects with stroke was higher than that in subjects without stroke. Following adjustments for potential confounders, kinking and coiling of the carotid artery were significantly associated with stroke risk (HR = 1.47; 95% CI 1.32 to 1.64; P

Background The tumor microenvironment (TME) plays an important role in the occurrence and development of gastric cancer (GC) and is widely used to assess the treatment outcomes of GC patients. Immunohistochemistry (IHC) and gene sequencing are the main analysis methods for the TME but are limited due to the subjectivity of observers, the high cost of equipment and the need for professional analysts. Methods The ImmunoScore (IS) was developed in the TCGA cohort and validated in GEO cohorts. The Radiomic ImmunoScore (RIS) was developed in the TCGA cohort and validated in the Nanfang cohort. A nomogram was developed and validated in the Nanfang cohort based on RIS and clinical features. Results For IS, the area under the curves (AUCs) were 0.798 for 2-year overall survival (OS) and 0.873 for 4-year overall survival. For RIS, in the TCGA cohort, the AUCs distinguishing High-IS or Low-IS and predicting prognosis were 0.85 and 0.81, respectively; in the Nanfang cohort, the AUC predicting prognosis was 0.72. The nomogram performed better than the TNM staging system according to the ROC curve (all P Conclusions The RIS and the nomogram can be used to assess the TME, prognosis and adjuvant chemotherapy benefit of GC patients after radical gastrectomy and are valuable additions to the current TNM staging system. High-nomogram GC patients may benefit more from adjuvant chemotherapy than Low-nomogram GC patients.

The high pressure pump and injector of the direct injection engine in the cylinder are connected with the common rail pipe. The oil fluctuation of high pressure pump and the high frequency working cycle of engine lead to the large fluctuation of rail pressure, which makes the engine fuel injection pressure unstable. The control mathematical model of high pressure common rail system is established based on fluid mechanics. A linear active disturbance rejection controller is designed to estimate the uncertain state and disturbance information by means of extended state observation for the unmeasurable state and disturbance. The controller is verified by idle speed and acceleration condition. The simulation results show that the linear active disturbance rejection is effective and easier to implement in engineering.

Gastric cancer (GC) is a major health problem worldwide, with high prevalence and mortality. The present GC staging system provides inadequate prognostic information and does not reflect the chemotherapy benefit of GC.Two hundred fifty-five patients who underwent surgical resection were enrolled in our study (training cohort = 212, internal validation cohort = 43). Nine clinicopathologic features were obtained to construct an support vector machine (SVM) model. The cohorts from 4 domestic centres and The Cancer Genome Atlas (TCGA) were used for external validation.In the training cohort, the AUCs were 0.773 (95% CI 0.708-0.838) for 5-year overall survival (OS) and 0.751 (95% CI 0.683-0.820) for 5-year disease-free survival (DFS); in the domestic validation cohort, the AUCs were 0.852 (95% CI 0.810-0.894) and 0.837 (95% CI 0.792-0.882), respectively. The model performed better than the TNM staging system according to the receiver operator characteristic(ROC) curve. GC patients were significantly divided into low, moderate and high risk based on the SVM. High-risk TNM stage Ⅱ and Ⅲ patients were more likely to benefit from adjuvant chemotherapy than low-risk patients.The SVM-based model may be used to predict OS and DFS in GC patients and the benefit of adjuvant chemotherapy in TNM stage Ⅱ and Ⅲ GC patients.

Additional file 8: Figure S20. In situ hybridization (ISH) assay using EBER probe to detect EBV infection in GC cells.

Additional file 3: Differentially expressed genes due to methylation in EBVaGC.

Additional file 14: Figure S26. The expression changes of the putative target genes transfected with siRNAs of STAT3.

Additional file 6: Table S1. Primers for QPCR assays. Figure S18. The relative expression of miR-129-2-3p of different GC cell lines transfected with inhibitor/mimics. **P=0.0013, ****P

Additional file 7: Figure S19. Bisulfite Sequencing PCR (BSP) to test the methylation level of the EBVaGC cell line SNU-719 and the EBVnGC cell lines MGC80-3, HGC-27 and SGC-7901. Group1, MGC80-3, HGC-27 and SGC-7901; Group 2, SNU-719. (a) There are 4 regions rich in methylation, 404-510bp, 1026-1211bp, 1700-1914bp and 1949-2054bp from the TSS of miR-129-2-3p. (b) Regions 1 and 4 in SNU-719 are significantly higher methylated than its EBVnGC counterpart.

Additional file 9: Figure S21. The endogenous expression of miR-129-2-3p in different GC cell lines.

Additional file 5: Figure S17. Tumor infiltrating immune cell analysis of the 7 hub genes. (a, b) AKAP12 and OGN were correlated with the enrichment of all the 6 types of TIICs, with particularly higher partial correlation coefficients in CD4+ T cell and macrophage. (c, d) DCN and HOXA10 were correlated with the enrichment of all the TIICs except B cell, with a particularly higher partial correlation coefficient in macrophage. (e) NOVA1 was correlated with all types of TIICs except neutrophil, with particularly higher partial correlation coefficients in CD4+ T cell and macrophage. (f) SCUBE2 was associated with the enrichment of B cell, CD4+ T cell, macrophage and dendritic cell, also with higher partial correlation coefficients in CD4+ T cell and macrophage. (g) LARP6 was associated with the enrichment of CD4+ T cell, macrophage and dendritic cell, with the highest partial correlation coefficient in macrophage.

Additional file 4: Figure S3. The time-dependent ROC curves for AKAP12, with the highest AUC of 0.612 at 60 and 65 months. Figure S4. Multivariate (up) and univariate (down) Cox-regression for AKAP12. Figure S5. The time-dependent ROC curves for DCN, with the highest AUC of 0.623 at 60 and 65 months. Figure S6. Multivariate (up) and univariate Cox-regression of DCN. Figure S7. The time-dependent ROC curves for LARP6, with the highest AUC of 0.601 from 75 months to 120 months. Figure S8. Multivariate (up) and univariate (down) Cox-regression of LARP6. Figure S9. The time-dependent ROC curves for NOVA1, with the highest AUC of 0.565 at 50 and 55 months. Figure S10. Multivariate (up) and univariate (down) Cox-regression of NOVA1. Figure S11. The time-dependent ROC curves for OGN, with the highest AUC of 0.609 at 5 months. Figure S12. Multivariate (up) and univariate Cox-regression of OGN. Figure S13. The time-dependent ROC curves of SCUBE2, with the highest AUC of 0.710 at 70 months. Figure S14. Multivariate (up) and univariate (down) Cox-regression of SCUBE2. Figure S15. The time-dependent ROC curves of HOXA10, with the highest AUC of 0.606 at 5 months. Figure S16. Multivariate (up) and univariate (down) Cox-regression of HOXA10.

Additional file 2: Figure S2. Circos plot depicting the genome-wide methylation profile of GC (a) and EBV (b) cases from the TCGA database. Hypermethylation is represented by red colors and hypomethylation by blue. From the inner circles to outer layer are hypomethylation peak plot, hypermethylation peak plot and methylation scatter plot.

Background The recent discovery of cancer/tissue specificity of miRNA has indicated its great potential as a therapeutic target. In Epstein–Barr virus-associated gastric cancer (EBVaGC), host genes are affected by extensive DNA methylation, including miRNAs. However, the role of methylated miRNA in the development of EBVaGC and immune cell infiltration has largely remained elusive. Results After crossmatching the DNA methylation and expression profile of miRNA and mRNA in the Gene Expression Omnibus (GEO) and the Cancer Genome Atlas Research Network (TCGA), we discovered that miR-129-2-3p was significantly suppressed due to hypermethylation on its enhancer in EBVaGC. The differentially expressed genes (DEGs) added up to 30, among which AKAP12 and LARP6 were predicted to be the target genes of miR-129-2-3p and negatively correlated with patients’ survival. Accordingly, miR-129-2-3p was significantly down-regulated in tumor samples in 26 (65%) out of 40 cases in our cohort (P + T cell, macrophage and dendritic cell infiltrates were significantly enriched for the prognostic-indicated hub genes. Conclusion This study has provided a comprehensive analysis of differentially expressed miRNAs and mRNAs associated with genome-wide DNA methylation by integrating multi-source data including transcriptome, methylome and clinical data from GEO and TCGA, QPCR of tumor samples and cell function assays. It also gives a hint on the relationships between methylated miRNA, DEGs and the immune infiltration. Further experimental and clinical investigations are warranted to explore the underlying mechanism and validate our findings.

To investigate the synergistic effect of dexmedetomidine and cognitive behavioral therapy (CBT) on chronic insomnia. Forty-six chronic insomnia patients were selected and randomly assigned to the CBT group (CBT-I) or the CBT combined with dexmedetomidine (CBT-I + DEX) group. The sleep indexes and polysomnographic parameters were assessed before treatment, 4 weeks after treatment, and 8 weeks after treatment. The daily sleep conditions were recorded during the entire treatment course. Eight patients in the CBT-I group quit treatment, with a success rate of 65.2 %, and two patients in the CBT-I + DEX group quit treatment, with a success rate of 91.3 %, revealing a significant difference between the two groups (P

Objective To evaluate the effectiveness of internet-based cognitive–behavioural therapy for insomnia (ICBT-i) in adults. Design A meta-analysis of ICBT-i. Data sources Systematic searches of randomised controlled trials of ICBT-i were performed in the PubMed, EMBASE, PsycINFO and Cochrane Library databases up to 19 June 2016. Review method 2 reviewers independently performed study selection, quality assessment and data extraction. Outcomes of interest included sleep onset latency (SOL), total sleep time (TST), sleep efficiency (SE), wake after sleep onset (WASO), number of nocturnal awakenings (NWAK), and Insomnia Severity Index (ISI). RevMan 5.2 and Stata 13.0 meta-analysis software were used to perform statistical analysis. Results 14 records for 15 studies (1013 experimental group participants, 591 waiting list group participants) were included. The meta-analysis indicated that, at the post-test time point, SOL decreased by 18.41 min (95% CI 13.60 to 23.21), TST increased by 22.30 min (95% CI 16.38 to 28.23), SE increased by 9.58% (95% CI 7.30% to 11.85%), WASO decreased by 22.31 min (95% CI 13.50 to 31.11), NWAK decreased by 0.52 (95% CI 0.28 to 0.76), and ISI decreased by 5.88 points (95% CI 4.29 to 7.46). Additionally SOL, TST, SE, and WASO exhibited statistically significant improvements at follow-up versus before treatment. Conclusions ICBT-i is an effective treatment for adults with insomnia. This conclusion should be verified in further studies.

The photoelectric detection system of clutch driven plate is proposed in this paper which used two CCD cameras for detecting the riveting quality and nonparallelism of the clutch driven plate with the computer system for controlling and processing the imaging data. It is obtained the overall structure of the photoelectric detection system, given design parameters of optical system, presented the image processing algorithm. The clutch plate size by detected is 160mm-430mm, the detection resolution is given 0.1 mm. The experiments is proved that the detection rate of riveting quality and nonparallelism detection can be achieved 100% .The system of structure is reasonably simple , low cost, high reliability, and it is suitable for the automatic production installation.