LncRNA RUNX1-IT1 is downregulated in gastric cancer and suppresses the maturation of miR-20a by binding to its precursor

Background. RUNX1-IT1 has been characterized as a tumor suppressive long non-coding RNA (lncRNA) in several types of cancer but not gastric cancer (GC). This study aimed to explore the role of RUNX1-IT1 in GC. Methods. The expression of RUNX1-IT1, microRNA (miR)-20a precursor and mature miR-20a in GC and healthy tissues donated by GC patients (n=62) were measured by RT-qPCR. Correlation analysis was performed by linear regression. The expression of mature miR-20a and miR-20a precursor in cells with overexpression of RUNX1-IT1 was also determined by RT-qPCR. Cell invasion and migration were evaluated by Transwell assays. Results. RUNX1-IT1 was downregulated in GC. Across GC tissues, RUNX1-IT1 and mature miR-20a were inversely correlated. However, RUNX1-IT1 and miR-20a precursor were not closely correlated. RUNX1- IT1 and miR-20a precursor were predicted to interact with each other, and overexpression of RUNX1-IT1 in GC cells decreased the expression levels of mature miR20a. Transwell assay showed that the enhancing effect of miR-20a on cell invasion and migration was reduced by overexpression of RUNX1-IT1. Conclusions. RUNX1-IT1 may suppress the GC cell movement by inhibiting the maturation of miR-20

A Bilevel Optimization Model Based on Edge Computing for Microgrid

With the continuous progress of renewable energy technology and the large-scale construction of microgrids, the architecture of power systems is becoming increasingly complex and huge. In order to achieve efficient and low-delay data processing and meet the needs of smart grid users, emerging smart energy systems are often deployed at the edge of the power grid, and edge computing modules are integrated into the microgrids system, so as to realize the cost-optimal control decision of the microgrids under the condition of load balancing. Therefore, this paper presents a bilevel optimization control model, which is divided into an upper-level optimal control module and a lower-level optimal control module. The purpose of the two-layer optimization modules is to optimize the cost of the power distribution of microgrids. The function of the upper-level optimal control module is to set decision variables for the lower-level module, while the function of the lower-level module is to find the optimal solution by mathematical methods on the basis of the upper-level and then feed back the optimal solution to the upper-layer. The upper-level and lower-level modules affect system decisions together. Finally, the feasibility of the bilevel optimization model is demonstrated by experiments

Influence of Sampling Point Discretization on the Regional Variability of Soil Organic Carbon in the Red Soil Region, China

Research on the regional variability of soil organic carbon (SOC) has focused mostly on the influence of the number of soil sampling points and interpolation methods. Little attention has typically been paid to the influence of sampling point discretization. Based on dense soil sampling points in the red soil area of Southern China, we obtained four sample discretization levels by a resampling operation. Then, regional SOC distributions were obtained at four levels by two interpolation methods: ordinary Kriging (OK) and Kriging combined with land use information (LuK). To evaluate the influence of sample discretization on revealing SOC variability, we compared the interpolation accuracies at four discretization levels with uniformly distributed validation points. The results demonstrated that the spatial distribution patterns of SOC were roughly similar, but the contour details in some local areas were different at the various discretization levels. Moreover, the predicted mean absolute errors (MAE) and root mean square errors (RMSE) of the two Kriging methods all rose with an increase in discretization. From the lowest to the largest discretization level, the MAEs of OK and LuK rose from 4.47 and 3.02 g kg−1 to 5.46 and 3.54 g kg−1, and the RMSEs rose from 5.13 and 3.95 g kg−1 to 5.76 and 4.76 g kg−1, respectively. Though the trend of prediction errors varied with discretization levels, the interpolation accuracies of the two Kriging methods were both influenced by the sample discretization level. Furthermore, the spatial interpolation uncertainty of OK was more sensitive to the discretization level than that of the LuK method. Therefore, when the spatial distribution of SOC is predicted using Kriging methods based on the same sample quantity, the more uniformly distributed sampling points are, the more accurate the spatial prediction accuracy of SOC will be, and vice versa. The results of this study can act as a useful reference for evaluating the uncertainty of SOC spatial interpolation and making a soil sampling scheme in the red soil region of China

Survival and Prognosis for Patients with Rectal Melanomas in the United States: A SEER-Based Study

AbstractPurpose Limited attention was paid to focus on rectal melanomas (RM). This study aimed to evaluate the survival rate and prognostic factors of RM.Methods The data for patients with RM from Surveillance, Epidemiology, and End Results (SEER) database were used to analyze tumor survival. Kaplan-Meier method and log-rank test were employed to estimate cancer-specific survival (CSS) and overall survival (OS). A nomogram was established based on the risk factors of survival by the forest plot for multivariate Cox regression analysis. Receiver operating characteristic (ROC) and calibration curve were conducted for validation.Results A total of 187 patients with RM were selected to perform survival analyses. The median survival time of OS was 12 months (range: 0-146 months), and the median survival time of CSS was 12 months (range: 0-74 months). Patients’ age, tumor size, stage, the number of nodes examined, surgery, and radiation were identified as prognostic indicators for CSS by the forest plot for multivariate Cox regression analysis. The nomogram was validated as a reliable model for CSS.Conclusion Clinicopathologic relevance with tumor prognosis was confirmed in this study. Our nomogram can provide a relatively accurate prediction of the survival rate of patients with RM

Preoperative contributing factors and the remission of diabetes after metabolic surgery: the mediating role of preoperative triglyceride

Abstract Background and objective Limited understanding exists regarding the factors affecting the prognosis of surgical treatment for type 2 diabetes mellitus (T2DM), particularly in Chinese patients. In this study, we examined a cohort of early and intermediate obese T2DM patients to explore the potential impact of preoperative lipid metabolism in metabolic surgery on the postoperative remission of T2DM. Methods Participants with T2DM and obesity underwent metabolic surgery. Clinical data, including baseline body mass index, percentage of excess weight loss, and preoperative biochemical indicators, were collected and analyzed. A multidisciplinary team conducted patient follow-up. Remission was defined as sub-diabetic hyperglycemia (HbA1c < 48 mmol/mol, fasting glucose 100–125 mg/dl) without pharmacological intervention for at least 12 months. Results Over a median follow-up of 27 months, 96 T2DM patients with metabolic surgery were studied, with no laparotomies required. Among these patients, 61 (63.5%) achieved complete remission, and 85 (88.5%) experienced remission. In multivariable analysis models, preoperative fasting blood glucose (FBG) significantly correlated with all postoperative outcomes. Furthermore, mediation analysis indicated that preoperative triglycerides (TG) mediated 26.31% of the association between preoperative FBG and postoperative remission. Both preoperative FBG and TG were negatively associated with the postoperative remission of T2DM. Conclusion In summary, our findings suggest that lower preoperative fasting glucose levels enhance the likelihood of postoperative T2DM remission. Moreover, preoperative TG could potentially play a mediating role in the postoperative remission of T2DM. Therefore, evaluating and managing fasting glucose and lipids before the procedure may aid in assessing the prognosis of metabolic surgery. Level of evidence Level III, designed cohort

O‐GlcNAcylated LARP1 positively regulated by circCLNS1A facilitates hepatoblastoma progression through DKK4/β‐catenin signalling

Abstract Background Accumulating studies have shown that La‐related protein 1 (LARP1) is involved in the occurrence and development of various tumours. However, the expression pattern and biological role of LARP1 in hepatoblastoma (HB) remain unclear so far. Methods LARP1 expression level in HB and adjacent normal liver tissues was analysed by qRT‐PCR, Western blotting and immunohistochemistry assays. The prognostic significance of LARP1 was evaluated by Kaplan–Meier method and multivariate Cox regression analysis. In vitro and in vivo functional assays were implemented to clarify the biological effects of LARP1 on HB cells. Mechanistically, the regulatory roles of O‐GlcNAcylation and circCLNS1A in LARP1 expression were investigated by co‐immunoprecipitation (co‐IP), immunofluorescence, RNA immunoprecipitation (RIP), RNA pull‐down and protein stability assays. Moreover, RNA‐sequencing, co‐IP, RIP, mRNA stability and poly(A)‐tail length assays were performed to investigate the association between LARP1 and DKK4. The expression and diagnostic significance of plasma DKK4 protein in multi‐centre cohorts were evaluated by ELISA and ROC curves. Results LARP1 mRNA and protein levels were remarkably elevated in HB tissues and associated with worse prognosis of HB patients. LARP1 knockdown abolished cell proliferation, triggered cell apoptosis in vitro as well as prohibited tumour growth in vivo, whereas LARP1 overexpression incited HB progression. Mechanistically, O‐GlcNAcylation of LARP1 Ser672 by O‐GlcNAc transferase strengthened its binding to circCLNS1A and then protected LARP1 from TRIM‐25‐mediated ubiquitination and proteolysis. LARP1 upregulation subsequently led to DKK4 mRNA stabilisation by competitively interacting with PABPC1 to prevent DKK4 mRNA from B‐cell translocation gene 2‐dependent deadenylation and degradation, thus facilitating β‐catenin protein expression and nuclear import. Conclusion This study indicates that upregulated protein level of O‐GlcNAcylated LARP1 mediated by circCLNS1A promotes the tumorigenesis and progression of HB through LARP1/DKK4/β‐catenin axis. Hence, LARP1 and DKK4 are promising therapeutical target and diagnostic/prognostic plasma biomarker for HB