TRPM2 knockdown alleviated H9N2 influenza virus infected ferroptosis in mouse pulmonary microvascular endothelial cells.

H9N2 influenza virus, a prevalent influenza A virus, causes acute lung injury through mitochondrial damage associated with oxidative stress. Transient receptor potential melastatin 2 (TRPM2) is a Ca permeable non-selective cation channel that can trigger oxidative stress via Ca overload. Excessive ROS generation leads to mitochondrial dysfunction and lipid peroxides accumulation, contributing to ferroptosis.

Pharmacological Targeting of DHHC9-Mediated STRN4 Palmitoylation to Suppress YAP-Driven Cancer Metastasis.

Protein S-palmitoylation, a dynamic and reversible post-translational modification involving the attachment of palmitate to cysteine residues, is a key regulator of protein functionality and cellular signalling. Dysregulation of this modification has emerged as a critical driver of cancer progression. Among the 23 DHHC palmitoyl transferases responsible for catalysing S-palmitoylation, aberrant expression of specific members is linked to tumorigenesis and development, underscoring their potential as promising therapeutic targets.

Dual-layer spectral detector CT: a non-invasive tool for simultaneously predicting Ki-67 proliferation status and p53 mutations in pancreatic ductal adenocarcinoma.

Objectives: To evaluate the value of dual-layer spectral detector CT (DLCT) for predicting Ki-67 proliferation status and p53 mutations in pancreatic ductal adenocarcinoma (PDAC).

Materials & Methods: This retrospective study included untreated patients with pathologically confirmed PDAC who underwent DLCT between June 2019 and September 2023. Independent relevant clinical-radiological features and quantitative parameters for predicting Ki-67 proliferation status and p53 mutations were identified using multivariate logistic regression analysis.

Erratum to "Distributed Practical Fixed-Time Resource Allocation Algorithm for Disturbed Multiagent Systems: An Integrated Framework".

Presents corrections to the paper, (Erratum to "Distributed Practical Fixed-Time Resource Allocation Algorithm for Disturbed Multiagent Systems: An Integrated Framework").

Added value of multifrequency magnetic resonance elastography in predicting pathological grading of pancreatic neuroendocrine neoplasms.

Objectives: To prospectively investigate the pancreatic stiffness (c) and fluidity (φ) of pancreatic neuroendocrine neoplasms (pNENs), measured using multifrequency magnetic resonance elastography (MRE), and evaluate their performance in predicting pNENs pathological grade.

Materials And Methods: This study included 96 untreated patients with pathologically confirmed pNENs who underwent multifrequency MRE within 2 weeks before surgery between September 2021 and November 2023. Independent predictors of pathological grade were identified using multivariate regression analysis, and predictive performance was assessed using receiver operating characteristic curves.

Genomic Survey of Genes Encoding Major Intrinsic Proteins (MIPs) and Their Response to Arsenite Stress in Pepper ().

Major intrinsic proteins (MIPs) are a super family of proteins that mediate the bidirectional concentration-dependent flux of water in particularly small solutes in fraction and some metalloids across the cell membrane. This article reports the genome-wide study of pepper genes encoding MIPs and their expression analysis. Using a bioinformatics homology search, 48 CAMIPs were identified on the genome of pepper.

Distributed Practical Fixed-Time Resource Allocation Algorithm for Disturbed Multiagent Systems: An Integrated Framework.

The practical fixed-time resource allocation problem is investigated for multi-input-multi-output nonlinear uncertain multiagent systems with disturbed dynamics, subject to global equality and local inequality constraints. Due to the coexistence of distributed high-order dynamics system within agents and decision-making constraints, decision variables in resource allocation optimization problems cannot be directly obtained from the system. Existing strategies are insufficient to solve such complex fixed-time optimization control problems with coupled decision-making constraints.

Prediction of radiosensitivity in non-small cell lung cancer based on computed tomography and tumor genomics: a multiple real world cohort study.

Background: The varying degrees of radiotherapy sensitivity of tumors limit the efficacy of tumor radiotherapy. In this research, based on single cell sequence data we used radiomics to help identify and screen feature signatures to distinguish varying radiosensitivity in different regions of the target area of non-small cell lung cancer can provide a new pattern to assess sensitivity of radiotherapy and assist in clinical decision-making.

Methods: This retrospective study included CT radiology data from 454 patients diagnosed with non-small cell lung cancer in multiple real-world cohorts prior to radiotherapy.

Fe/Mo-Based Lipid Peroxidation Nanoamplifier Combined with Adenosine Immunometabolism Regulation to Augment Anti-Breast Cancer Immunity.

Immunogenic cell death (ICD)-mediated immunization strategies have great potential against breast cancer. However, traditional strategies neglect the increase in the immunosuppressive metabolite, adenosine (ADO), during ICD, leading to insufficient therapeutic outcomes. In this study, it is found that the adenosine A2A receptor (A2AR) is significantly expressed in breast cancer and positively associated with regulatory T (Treg) cells.

TRPM2 deficiency ameliorated H9N2 influenza virus-induced acute lung injury in mice.

Oxidative stress is involved in lung damage induced by the influenza virus. The transient receptor potential melastatin-2 (TRPM2) cation channel, a Ca permeable non-selective cation channel, is implicated in the mediation of multiple tissue injuries induced by oxidative stress. The role of TRPM2 in several diseases has been widely studied, but there have been few studies on the involvement of TRPM2 in lung injury induced by the H9N2 influenza virus.

Distributed Adaptive Optimization Algorithm for High-Order Nonlinear Multi-Agent Stochastic Systems with Lévy Noise.

An adaptive neural network output-feedback control strategy is proposed in this paper for the distributed optimization problem (DOP) of high-order nonlinear stochastic multi-agent systems (MASs) driven by Lévy noise. On the basis of the penalty-function method, the consensus constraint is removed and the global objective function (GOF) is reconstructed. The stability of the system is analyzed by combining the generalized Itô's formula with the Lyapunov function method.

[Corrigendum] Ethyl gallate suppresses proliferation and invasion in human breast cancer cells via Akt‑NF‑κB signaling.

Following the publication of this article, an interested reader drew to the authors' attention that, for the cell migration assay data shown in Fig. 3C on p. 1287, the '2.

Do multisource data matter for NGP prediction? Evidence from the G-LSTM model.

Precisely predicting natural gas prices (NGPs) is important because it can provide the necessary decision-making basis for energy scheduling, planning and control. However, NGPs are affected by many factors and exhibit the characteristics of nonlinearity and randomness, which makes accurate predictions challenging. Therefore, in this paper, the information gain of multisource data and the global optimization ability of the gray wolf algorithm are used to build a multifactor-driven NGP hybrid forecasting model to improve the prediction performance.

[Spatiotemporal Pattern and Influencing Factors of Thermal Environment Based on SEM Model: A Case Study in Xi'an Metropolitan Area].

The urban thermal environment is an important indicator for evaluating the ecological environment of a city. It directly affects the health of residents and the sustainable development of the urban economy. However, there is currently a lack of analysis on the impact pathways of the thermal environment considering both natural and human factors.

Metal-Loaded Synthetic Melanin via Oxidative Polymerization of Neurotransmitter Norepinephrine Exhibiting High Photothermal Conversion.

Polydopamine (PDA)-derived melanin-like materials exhibit significant photothermal conversion owing to their broad-spectrum light absorption. However, their low near-infrared (NIR) absorption and inadequate hydrophilicity compromise their utilization of solar energy. Herein, we developed metal-loaded poly(norepinephrine) nanoparticles (PNE NPs) by predoping metal ions (Fe, Mn, Co, Ca, Ga, and Mg) with norepinephrine, a neuron-derived biomimetic molecule, to address the limitations of PDA.

Ultrasmall Nanoparticles Regulate Immune Microenvironment by Activating IL-33/ST2 to Alleviate Renal Ischemia-Reperfusion Injury.

Renal ischemia-reperfusion injury (IRI) is a common disease with high morbidity and mortality. Renal IRI can cause the disorder of immune microenvironment and reprograming the immune microenvironment to alleviate excessive inflammatory response is crucial for its treatment. Cytokine IL-33 can improve the immune inflammatory microenvironment by modulating both innate and adaptive immune cells, and serve as an important target for modulating immune microenvironment of renal IRI.

Distributed convex optimization of bipartite containment control for high-order nonlinear uncertain multi-agent systems with state constraints.

This article investigates a penalty-based distributed optimization algorithm of bipartite containment control for high-order nonlinear uncertain multi-agent systems with state constraints. The proposed method addresses the distributed optimization problem by designing a penalty function in the form of a quadratic function, which is the sum of the global objective function and the consensus constraint. Moreover, the observer is presented to address the unmeasurable state of each agent.

Dual-energy CT improves differentiation of non-hypervascular pancreatic neuroendocrine neoplasms from CA 19-9-negative pancreatic ductal adenocarcinomas.

Purpose: To evaluate the utility of dual-energy CT (DECT) in differentiating non-hypervascular pancreatic neuroendocrine neoplasms (PNENs) from pancreatic ductal adenocarcinomas (PDACs) with negative carbohydrate antigen 19-9 (CA 19-9).

Methods: This retrospective study included 26 and 39 patients with pathologically confirmed non-hypervascular PNENs and CA 19-9-negative PDACs, respectively, who underwent contrast-enhanced DECT before treatment between June 2019 and December 2021. The clinical, conventional CT qualitative, conventional CT quantitative, and DECT quantitative parameters of the two groups were compared using univariate analysis and selected by least absolute shrinkage and selection operator regression (LASSO) analysis.

Distribution of potentially toxic elements in soils and sediments in Pearl River Delta, China: Natural versus anthropogenic source discrimination.

Although anthropogenic contamination has been regarded as the most important source of potentially toxic elements (PTEs) in soils of large river delta plains, the extent to which human activities affect PTEs in soils is worth exploring. This study used high density geochemical data to distinguish source patterns of PTEs in soils of the Pearl River Delta Economic Zone, a large industrialized and urbanized area in China. Enrichment factor, discriminant analysis, principal components analysis, cumulative distribution function, and positive matrix factorization were used to identify sources of PTEs in soils.

Electric field-induced assembly of Au-Ag alloy nanoparticles into nano-reticulation for ultrasensitive SERS.

This paper discusses a method for assembling Au-Ag alloy nanoparticles (NPs) using direct current (DC) electric field to fabricate highly active SERS substrates. Different nanostructures could be obtained by regulating the intensity and action time of DC electric field. Under the condition of 5mA*10 min, we obtained Au-Ag alloy nano-reticulation (ANR) substrate with excellent SERS activity (Enhancement factor on order of magnitude of 10).

National resilience assessment and improvement based on multi-source data: Evidence from countries along the belt and road.

National resilience is a consensus benchmark to characterize the ability of disaster resistance of a country. The occurrence of various disasters and the ravages of COVID-19 have created urgent needs in assessing and improving the national resilience of countries, especially for countries along the Belt and Road (i.e.