Silencing LncRNA-DANCR attenuates inflammation and DSS-induced endothelial injury through miR-125b-5p.

BACKGROUND: LncRNA-DANCR is involved in inflammation and acts as a major contributor to colon cancer. The effects and mechanism of LncRNA-DANCR were first investigated in a DSS-induced colitis model in vivo and vitro. MATERIAL AND METHODS: Sprague-Dawley rats were given DSS to induce the colitis model. TNF-α, IL-1ß, IL-6 levels and expression of intestinal adhesion proteins ZO-1 and MUC2 in colon tissues and DSS-induced NCM460 cells were measured using corresponding kits. A hematoxylin and eosin (H&E) staining assay was performed to evaluate colon tissue pathology conditions. Protein expression levels in DSS-induced NCM460 cells were evaluated by Western blotting, and cell apoptosis was detected using a TUNEL assay. Gene levels in DSS-induced NCM460 cells were evaluated by PCR. The StarBase online tool was used to predict the LncRNA-DANCR target. The LncRNA-DANCR target was verified using a luciferase reporter assay. RESULTS: LncRNA-DANCR was up-regulated in DSS-induced groups of rats. TNF-α, IL-1ß and IL-6 expression was significantly increased in DSS-induced groups of rats and cells. Zo-1 and MUC2 expression levels were decreased in DSS-induced groups of rats. Silencing LncRNA-DANCR reduced inflammation, cell apoptosis and up-regulated ZO-1, MUC2 and Claudin-1 in DSS-induced cells. MiR-125b-5p was the downstream LncRNA-DANCR target. All LncRNA-DANCR effects in the colitis model were reversed by the miR-125b-5p inhibitor. CONCLUSION: LncRNA-DANCR/miR-125b-5p, which may act as a regulatory axis in inflammation, apoptosis and barrier function dysregulation, can provide an essential reference for the development of new drugs in colitis treatment.

Application of improved YOLOv7-based sugarcane stem node recognition algorithm in complex environments.

Introduction: Sugarcane stem node detection is one of the key functions of a small intelligent sugarcane harvesting robot, but the accuracy of sugarcane stem node detection is severely degraded in complex field environments when the sugarcane is in the shadow of confusing backgrounds and other objects. Methods: To address the problem of low accuracy of sugarcane arise node detection in complex environments, this paper proposes an improved sugarcane stem node detection model based on YOLOv7. First, the SimAM (A Simple Parameter-Free Attention Module for Convolutional Neural Networks) attention mechanism is added to solve the problem of feature loss due to the loss of image global context information in the convolution process, which improves the detection accuracy of the model in the case of image blurring; Second, the Deformable convolution Network is used to replace some of the traditional convolution layers in the original YOLOv7. Finally, a new bounding box regression loss function WIoU Loss is introduced to solve the problem of unbalanced sample quality, improve the model robustness and generalization ability, and accelerate the convergence speed of the network. Results: The experimental results show that the mAP of the improved algorithm model is 94.53% and the F1 value is 92.41, which are 3.43% and 2.21 respectively compared with the YOLOv7 model, and compared with the mAP of the SOTA method which is 94.1%, an improvement of 0.43% is achieved, which effectively improves the detection performance of the target detection model. Discussion: This study provides a theoretical basis and technical support for the development of a small intelligent sugarcane harvesting robot, and may also provide a reference for the detection of other types of crops in similar environments.

Electron transfer rules of minerals under pressure informed by machine learning.

Electron transfer is the most elementary process in nature, but the existing electron transfer rules are seldom applied to high-pressure situations, such as in the deep Earth. Here we show a deep learning model to obtain the electronegativity of 96 elements under arbitrary pressure, and a regressed unified formula to quantify its relationship with pressure and electronic configuration. The relative work function of minerals is further predicted by electronegativity, presenting a decreasing trend with pressure because of pressure-induced electron delocalization. Using the work function as the case study of electronegativity, it reveals that the driving force behind directional electron transfer results from the enlarged work function difference between compounds with pressure. This well explains the deep high-conductivity anomalies, and helps discover the redox reactivity between widespread Fe(II)-bearing minerals and water during ongoing subduction. Our results give an insight into the fundamental physicochemical properties of elements and their compounds under pressure.

Height detection of crop divider toes of sugarcane harvester based on Kalman adaptive adjustment.

Crop divider toes are an essential device of sugarcane harvester. Moving forward against the ground is a critical way to improve the harvesting rate of lodged sugarcane. Height detection is the basis for precise control of crop divider toes moving forward against the ground. Due to the current problem of operating difficulties in manually adjusting the height of crop divider, a height detection system based on a millimeter wave radar sensor was designed to detect the height of crop divider toes from the ground. This paper proposed a height detection method of crop divider toes for sugarcane harvester based on Kalman adaptive adjustment. The data measured by the sensor was pretreated to determine whether the height had changed. Reset the Kalman filter and adjust the parameters when changes occur to improve the filter response speed and ranging accuracy. To adapt to the scenario of quickly adjusting the height of crop divider during the traveling process of sugarcane harvester. A one-way ANOVA test and a two-way ANOVA test were conducted on a simulated test platform. The results of the one-way ANOVA test showed that both forward speed and vegetation cover thickness had a significant effect on height detection accuracy. The results of the two-way ANOVA test showed that the interaction of forward speed and vegetation cover thickness did not have a significant effect on ranging accuracy. It was verified through experiments that both the ranging accuracy and the response speed of height change were significantly improved after the processing of the method in this paper. The mean square error after processing was lower than 2.5 cm. The feasibility of the height detection system was verified by field trials. The results of this study will provide a reference for the design of automatic elevation of crop divider.

FOSL1 knockdown ameliorates DSS-induced inflammation and barrier damage in ulcerative colitis via MMP13 downregulation.

Ulcerative colitis (UC) is a chronic inflammatory disease of the colon. Fos-related antigen 1 is highly expressed in mild UC and affects the maintenance and delayed recurrence of inflammatory bowel disease. Therefore the present study aimed to investigate the role of Fos-like antigen-1 (FOSL1) in UC. Use of the JASPAR database predicted the possible interaction of FOSL1 and the MMP13 promoter. FOSL1 and MMP13 mRNA and protein expression levels in dextran sodium sulfate (DSS)-induced HT29 cells and colon tissues of a UC mice model were determined using reverse transcription-quantitative PCR and western blotting, respectively. MMP13 promoter activity was determined using the dual-luciferase reporter assay, the relationship between FOSL1 and MMP13 promoter was determined using chromatin immunoprecipitation, inflammatory factor levels were quantified using ELISA, cell monolayer permeability analysis was performed using transepithelial electrical resistance measurements and tight junction protein expression levels were determined by western blotting. After constructing a UC mice model, mice colonic injury was determined with the quantification of colon length, H&E staining and disease activity index. The results demonstrated that FOSL1 and MMP13 were upregulated in DSS-induced HT29 cells and tissues. FOSL1 was also determined to be bound to the MMP13 promoter region and was demonstrated to upregulate MMP13 expression levels. Furthermore, FOSL1 knockdown inhibited DSS-induced inflammation and barrier damage in HT29 cells via MMP13 downregulation. FOSL1 knockdown also ameliorated colonic injury, inflammation and barrier damage in the tissues of the UC mice model via MMP13 downregulation. Overall, FOSL1 knockdown was demonstrated to potentially ameliorate DSS-induced inflammatory injury and protect the intestinal barrier integrity in the UC mice model via MMP13 downregulation.

Transcription factor paired related homeobox 1 (PRRX1) activates matrix metalloproteinases (MMP)13, which promotes the dextran sulfate sodium-induced inflammation and barrier dysfunction of NCM460 cells.

Paired related homeobox 1 (PRRX1) is a newly identified transcription factor that regulates the expression of various genes. We aimed to investigate the roles of PRRX1 and Matrix metalloproteinases (MMP)13 in dextran sulfate sodium (DSS)-induced inflammation and barrier dysfunction of NCM460 cells. PRRX1 expression in the mucosal tissues of patients with ulcerative colitis was analyzed using the GSE87466 microarray. PRRX1 and MMP13 expression was examined using Western blotting and RT-qPCR following the exposure of the NCM460 cells to DSS. The JASPAR database was used to predict the binding sites of PRRX1 to the MMP13 promoter, which was verified by luciferase reporter and chromatin immunoprecipitation assays. MMP13 expression was then detected following PRRX1 silencing or overexpression. The levels of inflammatory factors were determined using ELISA. Finally, the expression of intestinal barrier function-related proteins was evaluated using Western blotting and cellular permeability was detected by Transepithelial electrical resistance. PRRX1 was upregulated in the mucosal tissue samples of patients with UC. DSS induction upregulated PRRX1 and MMP13 expression. PRRX1 bound to the promoter of MMP13, which was further supported by the decreased expression of MMP13 observed following PRRX1 knockdown and its increased expression following PRRX1 overexpression. Furthermore, PRRX1 deletion decreased TNF-α, IL-1ß and IL-6 levels in the DSS-challenged NCM460 cells, which were subjected to MMP13 overexpression. Moreover, PRRX1 silencing upregulated ZO-1, occludin and claudin-1 expression and elevated the TEER value, whereas MMP13 overexpression attenuated these effects. Collectively, PRRX1 activates MMP13, which in turn promotes the DSS-induced inflammation and barrier dysfunction of NCM460 cells.