Aggregation induced emission luminogen bacteria hybrid bionic robot for multimodal phototheranostics and immunotherapy.

Multimodal phototheranostics utilizing single molecules offer a "one-and-done" approach, presenting a convenient and effective strategy for cancer therapy. However, therapies based on conventional photosensitizers often suffer from limitations such as a single photosensitizing mechanism, restricted tumor penetration and retention, and the requirement for multiple irradiations, which significantly constrain their application. In this report, we present an aggregation-induced emission luminogen (AIEgen) bacteria hybrid bionic robot to address above issues.

Strain-Modulated Deposition Mechanism on a Flexible Zinc Anode.

Flexible aqueous zinc-ion batteries (AZIBs) are considered one of the most attractive flexible devices owing to their high theoretical capacity, low cost, and high security. However, the formation of Zn dendrites and the poor flexibility of the Zn material greatly impede the application of wearable AZIBs. Herein, by transferring graphene onto the surface of polyethylene terephthalate-indium tin oxide (PET-ITO-G), a substrate combining excellent flexibility and dendrite suppression ability was prepared.

Robust Model Predictive Control of a Gait Rehabilitation Exoskeleton With Whole Body Motion Planning and Neuro-Dynamics Optimization.

Conventional lower limb exoskeletons (LLEs) and their corresponding rehabilitation protocols can hardly provide safe and customizable gait rehabilitation training for different patients and scenarios. Thus, this study presents an 8-DoF rehabilitation LLE equipped with a cable-driven body weight support (BWS) mobile mechanism. The mobile BWS mechanism is designed to follow the wearer and offer preset supportive forces and balance protection.

Epidemiology, genetic diversity and evolution of pigeon circovirus.

With the global prevalence of pigeon racing, pigeon infections with Pigeon circovirus (PiCV) have been reported across the world. PiCV-infected pigeons are susceptible to subsequent infections and exhibit a range of symptoms including weight loss, lethargy, anorexia, respiratory distress and diarrhea, which exerts a huge impact on the pigeon industry. However, there is currently a lack of epidemiological data on PiCV infection in pigeons.

1D-(GaN/AlN)/2D-Gr/3D-(SiO/Si) Combined High-Performance Flash Memory Device.

Recent advancements have shown that flash memory devices made from entirely two-dimensional (2D) materials exhibit nice performance in terms of storage window, switching speed, and extinction ratio. However, these devices still face challenges such as low carrier density, environmentally sensitive, and difficulty in integration due to the properties of 2D material channels. Here, we propose a novel nonvolatile memory device based on a floating-gate field effect transistor, which integrates one-dimensional (1D) GaN/AlN microwire with 2D few-layer graphene (Gr) to combine the advantages of both materials.

High current density heterojunction bipolar transistors with 3D-GaN/2D-WSe as emitter junctions.

With the continuous advancement of electronic technology, there is an increasing demand for high-speed, high-frequency, and high-power devices. Due to the inherently small thickness and absence of dangling bonds of two-dimensional (2D) materials, heterojunction bipolar transistors (HBTs) based on 2D layered materials (2DLMs) have attracted significant attention. However, the low current density and limited structural design flexibility of 2DLM-based HBT devices currently hinder their applications.

Identification the Cellular Senescence Associated lncRNA LINC01579 in Gastric Cancer.

Cellular senescence is a key promoter of tumorigenesis and malignant progression. This study aimed to develop a predictive model for assessing cellular senescence in gastric cancer (GC) outcomes. We identified senescence-related genes and lncRNAs from 375 stomach adenocarcinoma (STAD) patients and established a prognostic senescence score using multivariate Cox regression, validated in testing, TCGA-STAD and the combined TCGA-COAD and READ cohorts.

Identification of a metabolic-immune signature associated with prognosis in colon cancer and exploration of potential predictive efficacy of immunotherapy response.

The role of metabolic reprogramming of the tumor immune microenvironment in cancer development and immune escape has increasingly attracted attention. However, the predictive value of differences in metabolism-immune microenvironment on the prognosis of colon cancer (CC) and the response to immunotherapy have not been elucidated. The aim of this study was to investigate changes in metabolism and immune profile of CC and to identify a reliable signature for predicting prognosis and therapeutic response.

Repurposing of phosphodiesterase-5 inhibitor sildenafil as a therapeutic agent to prevent gastric cancer growth through suppressing c-MYC stability for IL-6 transcription.

Phosphodiesterase-5 (PDE5) inhibitors have shown promise as anti-cancer agents in malignancies. However, their specific effects on gastric cancer (GC) and the underlying mechanisms remain elusive. Our aim was to investigate this by combining evidence from population-based studies with data obtained from in vivo and in vitro experiments.

Conversion Therapy for Stage IV Gastric Cancer: Report From the Expert Consensus Meeting at KINGCA WEEK 2024.

Conversion therapy is a treatment strategy that shifts from palliative systemic therapy to curative surgical treatment for primary and/or metastatic stage IV gastric cancer (GC). To address its clinical statements, the Korean Gastric Cancer Association aims to present a consensus on conversion therapy among experts attending KINGCA WEEK 2024. The KINGCA Scientific Committee and Development Working Group for Korean Practice Guidelines prepared preformulated topics and 9 clinical statements for conversion therapy.

Noninvasive Assessment of Vascular Endothelial Growth Factor and Prognosis in Gastric Cancer Through Radiomic Features.

Introduction: Gastric cancer (GC) is a leading cause of cancer-related deaths worldwide, with delayed diagnosis often limiting effective treatment options. This study introduces a novel, noninvasive radiomics-based approach using [18F] FDG PET/CT (fluorodeoxyglucose positron emission tomography/computed tomography) to predict vascular endothelial growth factor (VEGF) status and survival in patients with GC. The ability to noninvasively assess these parameters can significantly influence therapeutic decisions and outcomes.

Artificial intelligence assisted real-time recognition of intra-abdominal metastasis during laparoscopic gastric cancer surgery.

Laparoscopic exploration (LE) is crucial for diagnosing intra-abdominal metastasis (IAM) in advanced gastric cancer (GC). However, overlooking single, tiny, and occult IAM lesions during LE can severely affect the treatment and prognosis due to surgeons' visual misinterpretations. To address this, we developed the artificial intelligence laparoscopic exploration system (AiLES) to recognize IAM lesions with various metastatic extents and locations.

Integration of physiology, microbiota and metabolomics reveals toxic response of zebrafish gut to co-exposure to polystyrene nanoplastics and arsenic.

Both nanoplastic (NP) particles and arsenic (As) are widespread in aquatic environments and pose a combined risk of exposure to aquatic organisms. How the gut of aquatic organisms responds to combined risk of exposure is still unclear. In this study, zebrafish (Danio rerio) were subjected to three distinct As stress environments: only As group (10 μg/L), and As combined with different concentrations of polystyrene (PS) NPs (1 mg/L and 10 mg/L) groups for 21 days via semi-static waterborne exposure.

Comprehensive transcriptomic analysis identifies cholesterol transport pathway as a therapeutic target of porcine epidemic diarrhea coronavirus.

Porcine epidemic diarrhea virus (PEDV) is a highly contagious virus that poses a serious threat to the global pig industry. Despite extensive efforts, the mechanism underlying virus entry for PEDV remains elusive. In this study, we first identified PEDV-susceptible and non-susceptible cell lines by using PEDV spike pseudotyped vesicular stomatitis virus.

Corrigendum: Radiosensitizing effects of pyrogallol-loaded mesoporous or-ganosilica nanoparticles on gastric cancer by amplified ferroptosis.

[This corrects the article DOI: 10.3389/fbioe.2023.

[ Amplification of NK Cells from Feeder Layer Cells Expressing IL-21].

Objective: To investigate the effect of feeder layer cells expressing interleukin (IL)-21 on the amplification of NK cells .

Methods: The K562 cell line with IL-21 expression on its membrane was constructed by electroporation, and co-cultured with NK cells after inactivation. The proliferation of NK cells was observed.

Construction of a tumor mutational burden-derived LncRNA prognostic computational framework associated with therapy sensitivity in skin cutaneous melanoma.

Background: Skin cutaneous melanoma (SKCM) poses a significant public health challenge due to its aggressive nature and limited treatment options. To address this, the study introduces the Tumor Mutational Burden-Derived Immune lncRNA Prognostic Index (TILPI) as a potential prognostic tool for SKCM.

Methods: TILPI was developed using a combination of gene set variation analysis, differential expression analysis, and COX regression analysis.

Multitask machine learning-based tumor-associated collagen signatures predict peritoneal recurrence and disease-free survival in gastric cancer.

Background: Accurate prediction of peritoneal recurrence for gastric cancer (GC) is crucial in clinic. The collagen alterations in tumor microenvironment affect the migration and treatment response of cancer cells. Herein, we proposed multitask machine learning-based tumor-associated collagen signatures (TACS), which are composed of quantitative collagen features derived from multiphoton imaging, to simultaneously predict peritoneal recurrence (TACS) and disease-free survival (TACS).

Microbiota-induced S100A11-RAGE axis underlies immune evasion in right-sided colon adenomas and is a therapeutic target to boost anti-PD1 efficacy.

Background: Tumourigenesis in right-sided and left-sided colons demonstrated distinct features.

Objective: We aimed to characterise the differences between the left-sided and right-sided adenomas (ADs) representing the early stage of colonic tumourigenesis.

Design: Single-cell and spatial transcriptomic datasets were analysed to reveal alterations between right-sided and left-sided colon ADs.

POU2F1 inhibits miR-29b1/a cluster-mediated suppression of PIK3R1 and PIK3R3 expression to regulate gastric cancer cell invasion and migration.

Background: The transcription factor POU2F1 regulates the expression levels of microRNAs in neoplasia. However, the miR-29b1/a cluster modulated by POU2F1 in gastric cancer (GC) remains unknown.

Methods: Gene expression in GC cells was evaluated using reverse-transcription polymerase chain reaction (PCR), western blotting, immunohistochemistry, and RNA in situ hybridization.

Predicting gastric cancer response to anti-HER2 therapy or anti-HER2 combined immunotherapy based on multi-modal data.

The sole use of single modality data often fails to capture the complex heterogeneity among patients, including the variability in resistance to anti-HER2 therapy and outcomes of combined treatment regimens, for the treatment of HER2-positive gastric cancer (GC). This modality deficit has not been fully considered in many studies. Furthermore, the application of artificial intelligence in predicting the treatment response, particularly in complex diseases such as GC, is still in its infancy.

Virtual multiplexed immunofluorescence staining from non-antibody-stained fluorescence imaging for gastric cancer prognosis.

Background: Multiplexed immunofluorescence (mIF) staining, such as CODEX and MIBI, holds significant clinical value for various fields, such as disease diagnosis, biological research, and drug development. However, these techniques are often hindered by high time and cost requirements.

Methods: Here we present a Multimodal-Attention-based virtual mIF Staining (MAS) system that utilises a deep learning model to extract potential antibody-related features from dual-modal non-antibody-stained fluorescence imaging, specifically autofluorescence (AF) and DAPI imaging.