Activity

RESULTS Among 89 patients, 23 patients underwent ESD before surgery. LDG was significantly less often performed in the ESD-surgery group than in the surgery-only group (34.8% vs. 72.7%; p = 0.003). Preoperative ESD was an independent negative predictor of LDG (odds ratio = 0.266; p = 0.025). CONCLUSIONS Preoperative ESD has an impact on the selection of the type of additional gastrectomy, including reducing the conduct of LDG for early gastric cancer in the UM boundary region.We analyze the wave speed of the Proliferation Invasion Hypoxia Necrosis Angiogenesis (PIHNA) model that was previously created and applied to simulate the growth and spread of glioblastoma (GBM), a particularly aggressive primary brain tumor. We extend the PIHNA model by allowing for different hypoxic and normoxic cell migration rates and study the impact of these differences on the wave-speed dynamics. Through this analysis, we find key variables that drive the outward growth of the simulated GBM. We find a minimum tumor wave-speed for the model; this depends on the migration and proliferation rates of the normoxic cells and is achieved under certain conditions on the migration rates of the normoxic and hypoxic cells. If the hypoxic cell migration rate is greater than the normoxic cell migration rate above a threshold, the wave speed increases above the predicted minimum. This increase in wave speed is explored through an eigenvalue and eigenvector analysis of the linearized PIHNA model, which yields an expression for this threshold. The PIHNA model suggests that an inherently faster-diffusing hypoxic cell population can drive the outward growth of a GBM as a whole, and that this effect is more prominent for faster-proliferating tumors that recover relatively slowly from a hypoxic phenotype. The findings presented here act as a first step in enabling patient-specific calibration of the PIHNA model.BACKGROUND Different techniques have been described to repair post myocardial infarction ventricular septal rupture (VSR), each method may result in residual shunting, bleeding, and suboptimal left ventricular (LV) performance secondary to change in LV geometry. The aim of this report is to describe early and mid-term results of sandwich technique through right ventricle in five consecutive patients. CASE PRESENTATION Five consecutive patients (3 women and 2 men) with VSR (mean age 62.8 years, range 51-70) underwent surgical repair for postinfarction ventricular septal rupture by sandwich technique performed through right ventricle from August 2012 to April 2019 in our institute. Reconstruction of the septum was performed by two patches of 0.6 mm Gore-Tex on each side of the septal defect through right ventricular incision, according to the method described by Isoda et al. Coronary artery bypass grafting was performed in two patients. The mean aortic clamp time was 90 min (range, 64 to 157 min). The mean extracorporeal circulation time was 146.6 min (range, 108 to 240 min). Postoperative intensive care unit (ICU) stay averaged 12 days (range, 4-40 days). There was no hospital mortality. No postoperative residual shunting was detected, and no patient needed re-operation for bleeding. Patients have been followed up for a mean of 24.4 months (range, 1 week to 7 years). There was one death seven days after discharge due to arrhythmia (40 days after surgery). CONCLUSION Sandwich technique through right ventricular approach is simple and extendable to all VSRs irrespective of their locations. Residual shunting and bleeding are negligible or zero. It may be considered as standard of repair for patient with post infarction ventricular septal rupture.Yeast surface display is a powerful technology used to isolate and engineer proteins to improve their activity, specificity, and stability. In this method, gene expression is regulated by promoters, and secretion efficiency is affected by secretion signals. Furthermore, both the accessibility and activity of the displayed proteins are affected by the length of anchor proteins. The ideal promoter, secretion signal, and anchor protein combination depend on the proteins of interest. In this study, we optimized a yeast surface display suitable for nanobody evaluation. P5091 We designed five display systems that used different combinations of promoters, secretion signals, and anchor proteins. Anti-hen egg-white lysozyme nanobody was used as the model nanobody. The amount of nanobodies displayed on yeast cells, the number of antigens bound to the displayed nanobodies, and the display efficiency were quantified. Overall, we improved the yeast display system for nanobody engineering and proposed its optimization.We developed the microfluidic co-culture platform to study photothermal therapy applications. We conjugated folic acid (FA) to target breast cancer cells using reduced graphene oxide (rGO)-based functional nanomaterials. To characterize the structure of rGO-based nanomaterials, we analyzed the molecular spectrum using UV-visible and Fourier-transform infrared spectroscopy (FT-IR). We demonstrated the effect of rGO-FA-based nanomaterials on photothermal therapy of breast cancer cells in the microfluidic co-culture platform. From the microfluidic co-culture platform with breast cancer cells and human umbilical vein endothelial cells (HUVECs), we observed that the viability of breast cancer cells treated with rGO-FA-based functional nanomaterials was significantly decreased after near-infrared (NIR) laser irradiation. Therefore, this microfluidic co-culture platform could be a potentially powerful tool for studying cancer cell targeting and photothermal therapy.Cardiac MRI (CMR) techniques offer non-invasive visualizations of cardiac morphology and function. However, imaging can be time-consuming and complex. Seismocardiography (SCG) measures physical vibrations transmitted through the chest from the beating heart and pulsatile blood flow. SCG signals can be acquired quickly and easily, with inexpensive electronics. This study investigates relationships between CMR metrics of function and SCG signal features. Same-day CMR and SCG data were collected from 28 healthy adults and 6 subjects with aortic valve disease history. Correlation testing and statistical median/decile calculations were performed with data from the healthy cohort. MR-quantified flow and function parameters in the healthy cohort correlated with particular SCG energy levels, such as peak aortic velocity with low-frequency SCG (coefficient 0.43, significance 0.02) and peak flow with high-frequency SCG (coefficient 0.40, significance 0.03). Valve disease-induced flow abnormalities in patients were visualized with MRI, and corresponding abnormalities in SCG signals were identified.