Suppressing chlorophyll degradation by silencing OsNYC3 improves rice resistance to Rhizoctonia solani, the causal agent of sheath blight.

Necrotrophic fungus Rhizoctonia solani Kühn (R. solani) causes serious diseases in many crops worldwide, including rice and maize sheath blight (ShB). Crop resistance to the fungus is a quantitative trait and resistance mechanism remains largely unknown, severely hindering the progress on developing resistant varieties. In this study, we found that resistant variety YSBR1 has apparently stronger ability to suppress the expansion of R. solani than susceptible Lemont in both field and growth chamber conditions. Comparison of transcriptomic profiles shows that the photosynthetic system including chlorophyll biosynthesis is highly suppressed by R. solani in Lemont but weakly in YSBR1. YSBR1 shows higher chlorophyll content than that of Lemont, and inducing chlorophyll degradation by dark treatment significantly reduces its resistance. Furthermore, three rice mutants and one maize mutant that carry impaired chlorophyll biosynthesis all display enhanced susceptibility to R. solani. Overexpression of OsNYC3, a chlorophyll degradation gene apparently induced expression by R. solani infection, significantly enhanced ShB susceptibility in a high-yield ShB-susceptible variety '9522'. However, silencing its transcription apparently improves ShB resistance without compromising agronomic traits or yield in field tests. Interestingly, altering chlorophyll content does not affect rice resistance to blight and blast diseases, caused by biotrophic and hemi-biotrophic pathogens, respectively. Our study reveals that chlorophyll plays an important role in ShB resistance and suppressing chlorophyll degradation induced by R. solani infection apparently improves rice ShB resistance. This discovery provides a novel target for developing resistant crop to necrotrophic fungus R. solani.

DNA methylation biomarkers for predicting lymph node metastasis in colorectal cancer.

Colorectal cancer is one of the most common cancers worldwide. Lymph node metastasis is an important marker of colorectal cancer progression and plays a key role in the evaluation of patient prognosis. Accurate preoperative assessment of lymph node metastasis is crucial for devising appropriate treatment plans. However, current clinical imaging methods have limitations in many aspects. Therefore, the discovery of a method for accurately predicting lymph node metastasis is crucial clinical decision-making. DNA methylation is a common epigenetic modification that can regulate gene expression, which also has an important impact on the development of colorectal cancer. It is considered to be a promising biomarker with good specificity and stability and has promising application in predicting lymph node metastasis in patients with colorectal cancer. This article reviews the characteristics and limitations of currently available methods for predicting lymph node metastasis in patients with colorectal cancer and discusses the role of DNA methylation as a biomarker.

Is single tract jejunal interposition better than double tract reconstruction after proximal gastrectomy?

Double tract reconstruction (DTR) is the main digestive tract reconstruction method after proximal gastrectomy (PG). Single tract jejunal interposition (STJI) derived from the double tract reconstruction is also increasingly used in clinical practice. However, there is still a great controversy as to which of the two reconstruction methods can achieve better results. In this study, we systematically reviewed studies on DTR and STJI after PG and performed a meta-analysis. We searched PubMed, Embase, and Cochrane Library databases for clinical studies comparing DTR and STJI after PG to December 2021 without language restriction. Review Manager (version5.4) software was used to perform meta-analysis on operative outcomes, postoperative complications and nutritional outcomes. The protocol for this meta-analysis was registered with PROSPERO (CRD42022301455). Five randomized controlled trials involving 453 patients were included in the meta-analysis. There were no significant differences between DTR and STJI in terms of intraoperative blood loss, postoperative hospital stay, incidence of reflux esophagitis, anastomotic complications and total complications. The operation time of STJI group was longer than that of DTR group [WMD - 0.79; 95% CI (- 1.55, - 0.03)] [heterogeneity: χ2 = 4.94, df = 3 (P = 0.18); I2 = 39%, test for overall effect: Z = 2.04 (P = 0.04)]. The body weight of STJI group was significantly higher than that of DTR group at 6 months after surgery [WMD 3.90; 95% CI (0.56, 7.23)] [heterogeneity: τ2 = 7.67, χ2 = 19.76, df = 2 (P < 0.0001); I2 = 90%, test for overall effect: Z = 2.29 (P = 0.02)]. To the best of our knowledge, this is the first systematic review and meta-analysis to compare the outcomes of DTR and STJI after PG. There were no significant differences in operative outcomes and postoperative complications between DTR and STJI after PG. Although STJI prolonged the operation time compared to DTR, postoperative nutritional outcomes of patients in the STJI group was significantly better than that in the DTR group. Therefore, compared to DTR, STJI may be more suitable for the vast majority of patients undergoing PG due to its better postoperative nutritional status.

Nmr-VSM: Non-Touch Motion-Robust Vital Sign Monitoring via UWB Radar Based on Deep Learning.

In recent years, biometric radar has gained increasing attention in the field of non-touch vital sign monitoring due to its high accuracy and strong ability to detect fine-grained movements. However, most current research on biometric radar can only achieve heart rate or respiration rate monitoring in static environments, which have strict monitoring requirements and single monitoring parameters. Moreover, most studies have not applied the collected data despite their significant potential for applications. In this paper, we introduce a non-touch motion-robust vital sign monitoring system via ultra-wideband (UWB) radar based on deep learning. Nmr-VSM not only enables multi-dimensional vital sign monitoring under human motion environments but also implements cardiac anomaly detection. The design of Nmr-VSM includes three key components. Firstly, we design a UWB radar that can perform multi-dimensional vital sign monitoring, including heart rate, respiratory rate, distance, and motion status. Secondly, we collect real experimental data and analyze the impact of eight factors, such as motion status and distance, on heart rate monitoring. We then propose a deep neural network (DNN)-based heart rate data correction model that achieves high robustness in motion environments. Finally, we model the heart rate variability (HRV) of the human body and propose a convolutional neural network (CNN)-based anomaly detection model that achieves low-latency detection of heart diseases, such as ventricular tachycardia and ventricular fibrillation. Experimental results in a real environment demonstrate that Nmr-VSM can not only accurately monitor heart rate but also achieve anomaly detection with low latency.

Increased Expression of POSTN Predicts Poor Prognosis: a Potential Therapeutic Target for Gastric Cancer.

BACKGROUND: Periostin (POSTN) is involved in many biological processes and is associated with the occurrence and development of several cancers, while its role in gastric cancer is not clear. We aimed to demonstrate the relationship between POSTN and gastric cancer based on publicly available data from The Cancer Genome Atlas (TCGA) database. METHODS: POSTN expression data and corresponding clinical information were downloaded from TCGA database. We compared the expression of POSTN in gastric cancer samples and normal samples. POSTN-related differentially expressed genes (DEGs) were identified for further functional enrichment analysis. In addition, the relationships between POSTN expression and clinicopathological features and survival in patients with gastric cancer were also investigated through univariate and multivariate Cox regression analyses. Furthermore, a nomogram was constructed to predict the survival probability of gastric cancer patients. RESULTS: POSTN expression in gastric cancer was significantly higher than that in normal gastric tissues (p < 0.001). High POSTN expression in gastric cancer was significantly related to poor prognostic features, including greater tumor extent (odds ratio [OR] = 1.638 for T3 and T4 vs. T1 and T2), worse histological type (OR = 0.329 for diffuse type vs. tubular type), and advanced histological grade (OR = 1.646 for grade 3 vs. grades 1 and 2) (all p < 0.05). The 118 identified DEGs were primarily enriched in pathways related to tumorigenesis and tumor progression, including the TGF-ß signaling pathway, the WNT signaling pathway, and the signaling by VEGF. POSTN expression was positively correlated with the enrichment of the macrophages (r = 0.599, p < 0.001), helper T2 cells (r = 0.146, p = 0.005), and CD8 + T cells (r = 0.190, p < 0.001), but negatively correlated with the enrichment of Th17 cells (r = - 0.130, p = 0.012) and NK CD56bright cells. Kaplan-Meier survival analysis showed that high POSTN expression is associated with a short overall survival (hazard ratio [HR] = 1.54; p = 0.011). In the multivariate cox regression analysis, high POSTN expression was confirmed to be an independent predictor of poor overall survival (HR = 1.681; p = 0.017). The constructed nomogram can well predict the 1 and 3 years overall survival probability of patients with GC (0.696 [95% CI, 0.671-0.721]). CONCLUSION: POSTN plays an important role in the progression and prognosis of gastric cancer, and it may serve as a useful biomarker to predict survival in gastric cancer patients.

Knockout of transcription factor OsERF65 enhances ROS scavenging ability and confers resistance to rice sheath blight.

Rice sheath blight (ShB) is a devastating disease that severely threatens rice production worldwide. Induction of cell death represents a key step during infection by the ShB pathogen Rhizoctonia solani. Nonetheless, the underlying mechanisms remain largely unclear. In the present study, we identified a rice transcription factor, OsERF65, that negatively regulates resistance to ShB by suppressing cell death. OsERF65 was significantly upregulated by R. solani infection in susceptible cultivar Lemont and was highly expressed in the leaf sheath. Overexpression of OsERF65 (OsERF65OE) decreased rice resistance, while the knockout mutant (oserf65) exhibited significantly increased resistance against ShB. The transcriptome assay revealed that OsERF65 repressed the expression of peroxidase genes after R. solani infection. The antioxidative enzyme activity was significantly increased in oserf65 plants but reduced in OsERF65OE plants. Consistently, hydrogen peroxide content was apparently reduced in oserf65 plants but accumulated in OsERF65OE plants. OsERF65 directly bound to the GCC box in the promoter regions of four peroxidase genes and suppressed their transcription, reducing the ability to scavenge reactive oxygen species (ROS). The oserf65 mutant exhibited a slight decrease in plant height but increased grain yield. Overall, our results revealed an undocumented role of OsERF65 that acts as a crucial regulator of rice resistance to R. solani and a potential target for improving both ShB resistance and rice yield.

ID1 expressing macrophages support cancer cell stemness and limit CD8+ T cell infiltration in colorectal cancer.

Elimination of cancer stem cells (CSCs) and reinvigoration of antitumor immunity remain unmet challenges for cancer therapy. Tumor-associated macrophages (TAMs) constitute the prominant population of immune cells in tumor tissues, contributing to the formation of CSC niches and a suppressive immune microenvironment. Here, we report that high expression of inhibitor of differentiation 1 (ID1) in TAMs correlates with poor outcome in patients with colorectal cancer (CRC). ID1 expressing macrophages maintain cancer stemness and impede CD8+ T cell infiltration. Mechanistically, ID1 interacts with STAT1 to induce its cytoplasmic distribution and inhibits STAT1-mediated SerpinB2 and CCL4 transcription, two secretory factors responsible for cancer stemness inhibition and CD8+ T cell recruitment. Reducing ID1 expression ameliorates CRC progression and enhances tumor sensitivity to immunotherapy and chemotherapy. Collectively, our study highlights the pivotal role of ID1 in controlling the protumor phenotype of TAMs and paves the way for therapeutic targeting of ID1 in CRC.

Prognostic and Predictive Model of the Log Odds of the Negative Lymph Node/T Stage Ratio in Resectable Gastric Adenocarcinoma Patients.

PURPOSE: There are few reports on disease-specific survival (DSS) prediction systems for resected gastric cancer (GC) patients. The aim of this study was to create a nomogram based on the log odds of the negative lymph node/T stage ratio (LONT) for individual risk prediction. METHODS: We applied the Surveillance, Epidemiology, and End Results (SEER) Program database released in 2021 to screen GC patients from 2010 to 2015. Using a competitive risk model, we plotted the cumulative risk curve of variables for gastric cancer-specific death and death from other causes at each time point. According to the minimum BIC, we constructed and assessed a nomogram for the 12-month, 36-month, and 60-month cumulative mortality probabilities assessed by time-dependent ROC curves (time-AUCs), the C-index, Brier scores, decision curve analysis (DCA), and calibration curves. RESULTS: A total of 3895 patients were ultimately included and randomly assigned to two sets: the training set (n = 2726, 70%) and the validation set (n = 1169, 30%). The LONT was a remarkable independent predictor of gastric cancer-specific death (high versus low: 0.705, 95% CI 0.524-0.95, p = 0.021). The variables selected based on the minimum BIC were as follows: location, AJCC, AJCC.T, AJCC.N, radiotherapy, LONT.cat, and chemotherapy. According to the time-AUC, C-index, Brier score, DCA, and calibration curves, the nomogram risk score had excellent survival prediction ability for DSS. CONCLUSIONS: A low LONT was associated with a high cumulative incidence of DSS. A prognostic nomogram model based on the LONT could effectively predict DSS for resectable GC patients.

Integrated analysis of necroptosis-related genes for evaluating immune infiltration and colon cancer prognosis.

Background: Colon cancer (CC) is the second most common gastrointestinal malignancy. About one in five patients have already developed distant metastases at the time of initial diagnosis, and up to half of patients develop distant metastases from initial local disease, which leads to a poor prognosis for CC patients. Necroptosis plays a key role in promoting tumor growth in different tumors. The purpose of this study was to construct a prognostic model composed of necroptosis-related genes (NRGs) in CC. Methods: The Cancer Genome Atlas was used to obtain information on clinical features and gene expression. Gene expression differential analysis, weighted gene co-expression network analysis, univariate Cox regression analysis and the least absolute shrinkage and selection operator regression algorithm were utilized to identify prognostic NRGs. Thereafter, a risk scoring model was established based on the NRGs. Biological processes and pathways were identified by gene ontology and gene set enrichment analysis (GSEA). Further, protein-protein interaction and ceRNA networks were constructed based on mRNA-miRNA-lncRNA. Finally, the effect of necroptosis related risk score on different degrees of immune cell infiltration was evaluated. Results: CALB1, CHST13, and SLC4A4 were identified as NRGs of prognostic significance and were used to establish a risk scoring model. The time-dependent receiver operating characteristic curve analysis revealed that the model could well predict the 1-, 3-, and 5-year overall survival (OS). Further, GSEA suggested that the NRGs may participate in biological processes, such as the WNT pathway and JAK-Stat pathway. Eight key hub genes were identified, and a ceRNA regulatory network, which comprised 1 lncRNA, 5 miRNAs and 3 mRNAs, was constructed. Immune infiltration analysis revealed that the low-risk group had significantly higher immune-related scores than the high-risk group. A nomogram of the model was constructed based on the risk score, necroptosis, and the clinicopathological features (age and TNM stage). The calibration curves implied that the model was effective at predicting the 1-, 3-, and 5-year OS of CC. Conclusion: Our NRG-based prognostic model can assist in the evaluation of CC prognosis and the identification of therapeutic targets for CC.

Corrigendum: LncRNA MSC-AS1 Is a Diagnostic Biomarker and Predicts Poor Prognosis in Patients With Gastric Cancer by Integrated Bioinformatics Analysis.

[This corrects the article DOI: 10.3389/fmed.2021.795427.].

An Efficient Computation Offloading Strategy with Mobile Edge Computing for IoT.

With the rapidly development of mobile cloud computing (MCC), the Internet of Things (IoT), and artificial intelligence (AI), user equipment (UEs) are facing explosive growth. In order to effectively solve the problem that UEs may face with insufficient capacity when dealing with computationally intensive and delay sensitive applications, we take Mobile Edge Computing (MEC) of the IoT as the starting point and study the computation offloading strategy of UEs. First, we model the application generated by UEs as a directed acyclic graph (DAG) to achieve fine-grained task offloading scheduling, which makes the parallel processing of tasks possible and speeds up the execution efficiency. Then, we propose a multi-population cooperative elite algorithm (MCE-GA) based on the standard genetic algorithm, which can solve the offloading problem for tasks with dependency in MEC to minimize the execution delay and energy consumption of applications. Experimental results show that MCE-GA has better performance compared to the baseline algorithms. To be specific, the overhead reduction by MCE-GA can be up to 72.4%, 38.6%, and 19.3%, respectively, which proves the effectiveness and reliability of MCE-GA.

Laparoscopic-assisted versus open proximal gastrectomy with double-tract reconstruction for Siewert type II-III adenocarcinomas of esophago-gastric junction: a retrospective observational study of short-term outcomes.

BACKGROUND: Currently, the surgical approach to adenocarcinomas of esophago-gastric junction (AEG) remains controversial. Function-preserving gastric surgeries are becoming more popular, with proximal gastrectomy with double-tract anastomosis being one of the most important for AEG. Meanwhile, with the increasing use of laparoscopic techniques in the treatment of gastric cancer, the safety and effectiveness of laparoscopic-assisted proximal gastrectomy with double-tract anastomosis for Siewert type II-III AEG need to be further clarified. METHODS: Data of patients with Siewert type II/III AEG was collected at our center from October 2010 to December 2019 were retrospectively analyzed. 61 patients underwent open proximal gastrectomy with double-tract anastomosis (OPG-DT group) and 52 underwent laparoscopic-assisted proximal gastrectomy with double-tract anastomosis (LAPG-DT group). The clinical features, surgery, and short-term outcomes of patients in these 2 groups were collected to assess the safety and feasibility of LAPG-DT. RESULTS: A total of 113 patients were analyzed, there were 98 males and 15 females. No death during the operation. The differences in the number of lymph nodes, time to first flatus time to first eating, postoperative hospital stay, Additional analgesics were not statistically significant between two groups. Although the operative duration of LAPG-DT group was significantly longer than that of the OPG-DT group [(217±61) vs. (161±14) min, P=0.000), while less blood loss and less stress in LAPG-DT group. Early and late postoperative complications were similar between two groups. CONCLUSIONS: Although laparoscopic-assisted proximal gastrectomy with double-tract anastomosis requires long operative time, it is associated with less bleeding and milder stress. Therefore, it is a safe and feasible surgical method.

Various Kinds of Functional Digestive Tract Reconstruction Methods After Proximal Gastrectomy.

The incidence of proximal gastric cancer has shown a rising trend in recent years. Surgery is still the main way to cure proximal gastric cancer. Total gastrectomy with D2 lymph node dissection was considered to be the standard procedure for proximal gastric cancer in the past several decades. However, in recent years, many studies have confirmed that proximal gastrectomy can preserve part of the stomach function and can result in a better quality of life of the patient than total gastrectomy. Therefore, proximal gastrectomy is increasingly used in patients with proximal gastric cancer. Unfortunately, there are some concerns after proximal gastrectomy with traditional esophagogastrostomy. For example, the incidence of reflux esophagitis in patients who underwent proximal gastrectomy with traditional esophagogastrostomy is significantly higher than those patients who underwent total gastrectomy. To solve those problems, various functional digestive tract reconstruction methods after proximal gastrectomy have been proposed gradually. In order to provide some help for clinical treatment, in this article, we reviewed relevant literature and new clinical developments to compare various kinds of functional digestive tract reconstruction methods after proximal gastrectomy mainly from perioperative outcomes, postoperative quality of life and survival outcomes aspects. After comparison and discussion, we drew the conclusion that various functional reconstruction methods have their own advantages and disadvantages; large scale high-level clinical studies are needed to choose an ideal reconstruction method in the future. Besides, in clinical practice, surgeons should consider the condition of the patient for individualized selection of the most appropriate reconstruction method.

LncRNA MSC-AS1 Is a Diagnostic Biomarker and Predicts Poor Prognosis in Patients With Gastric Cancer by Integrated Bioinformatics Analysis.

Numerous studies have shown that long uncoded RNA (lncRNA) MSC-AS1 may play an important role in the occurrence and development of some types of cancer. However, its role in gastric cancer has rarely been discussed. This study aimed to clarify the association between lncRNA MSC-AS1 and gastric cancer using The Cancer Genome Atlas (TCGA) database. We determined the expression of MSC-AS1 using the Wilcoxon rank sum test; in addition, logistic regression was applied to evaluate the association between MSC-AS1 and clinicopathological characteristics. Also, Kaplan-Meier and Cox regression were used to evaluate the relationship between MSC-AS1 and survival. A nomogram was conducted to predict the impact of MSC-AS1 on prognosis. Moreover, Gene Set enrichment analysis (GSEA) was performed to annotate the biological function of MSC-AS1. Quantitative analysis of immune infiltration was carried out by single-set GSEA (ssGSEA). The MSC-AS1 level was elevated in gastric cancer tissues. An increased MSC-AS1 level was significantly correlated with T stage (odds ratio [OR] = 2.55 for T3 and T4 vs. T1 and T2), histological type (OR = 5.28 for diffuse type vs. tubular type), histological grade (OR = 3.09 for grade 3 vs. grades 1 and 2), TP53 status (OR = 0.55 for mutated vs. wild type), and PIK3CA status (OR = 0.55 for mutated vs. wild type) (all p < 0.05) by univariate logistic regression. Kaplan-Meier survival analysis showed high MSC-AS1 expression had a poor overall survival [hazard ratio (HR) = 1.75; 95% confidence interval (CI): 1.25-2.45; p = 0.001] and progression-free interval (HR = 1.47; 95% CI: 1.03-2.10; p = 0.034). Multivariate survival analysis revealed that MSC-AS1 expression (HR = 1.681; 95% CI: 1.057-2.673; p = 0.028) was independently correlated with overall survival. GSEA demonstrated that the P38/MAPK pathway, the VEGF pathway, the cell adhesion molecules cams, the NOD-like receptor signaling pathway were differentially enriched in the high MSC-AS1 expression phenotype. SsGSEA and Spearman correlation revealed the relationships between MSC-AS1 and macrophages, NK cells, and Tems were the strongest. Coregulatory proteins were included in the PPI network. Upregulated lncRNA MSC-AS1 might be a potential biomarker for the diagnosis and prognosis of gastric cancer.