FGFC1 overcomes Ara-C resistance in acute myeloid leukemia by inducing apoptosis and pyroptosis.

Acute myeloid leukemia (AML) is a hematologic malignancy with a high mortality rate and poor prognosis, largely attributed to the emergence of chemotherapy resistance. Cytarabine (Ara-C), the cornerstone chemotherapeutic agent for AML, faces significant challenges due to the development of resistance, creating an urgent need for novel therapeutic strategies. Pyroptosis as a new form of programmed cell death has emerged as a potential therapeutic target in tumor treatment.

Dietary niche of in alpine meadows based on stable isotope analysis.

Understanding the dietary niche characteristics of across different population densities is of great significance for correctly recognizing its function and position in grasslands and scientifically evaluating their harmfulness. Using Bayesian stable isotope mass balance mixing model, we analyzed the dietary habits and ecological niche characteristics of four tissue types of at different population densities in the alpine meadows of the Qinghai-Tibet Plateau. The liver and muscle tissues represented short-term diets, while hair and bone tissues represented long-term diets.

Ammonia-induced dispersion and proliferation of Actinobacillus pleuropneumoniae biofilms.

Biofilm is a common status of bacteria persistent inside the host. Its dispersion can cause reactivation of bacteria, leading to disease outbreak. This study investigated ammonia's effects on Actinobacillus pleuropneumoniae, an important porcine respiratory pathogen.

Fe-Modulated In Situ Formation of Hydrogels with Tunable Mechanical Properties.

Fe-incorporated hydrogels are particularly valuable for wearable devices due to their tunable mechanical properties and ionic conductivity. However, conventional immersion-based fabrication fundamentally limits hydrogel performance because of heterogeneous ion distribution, ionic leaching, and scalability limitations. To overcome these challenges, we report a novel one-pot strategy where controlled amounts of Fe are directly added to polyacrylamide-sodium acrylate (PAM-SA) precursor solutions, ensuring homogeneous ion distribution.

MEF2D Aggravates Hepatic Ischaemia-Reperfusion Injury by Transcriptionally Regulating CXCL1 Through Interacting With NAT10.

Background And Aims: Hepatic ischaemia-reperfusion injury (IRI), a common complication after hepatectomy and liver transplantation (LT), is a local sterile inflammatory response driven by innate immunity. Myocyte enhancer factor-2D (MEF2D) plays an important role in immune inflammatory response by transcriptionally activating or inhibiting gene expression, which is tightly associated with the pathogenic progression of hepatic disorders. However, the role of MEF2D in hepatic IRI is still unclear.

A novel approach of [F]FDG PET-based individual metabolic radiomics network to predict cognitive impairment in multiple system atrophy.

Purpose: Many efforts have been tried to evaluate multiple system atrophy (MSA)-related cognitive impairment, however, there is still lacking of effective approach. In this study, for the first time, we developed the individual metabolic radiomics networks (IMRN) using [F]FDG PET imaging to investigate brain metabolic connectivity patterns of MSA and validated the usefulness of IMRN-based predictive model for MSA-related cognitive impairment.

Methods: In this retrospective study, we recruited 115 MSA patients with [F]FDG PET/CT scans.

Natural Chitin/Protein Nanofibrils Isolated from Crab Shell As a Green Platform Constructing a Hydrogel/Aerogel for Environmental Remediation.

Chitin/protein nanofibrils are extracted from decalcified crab shells using 100 mM hydrochloric acid and ultrasonication or high-pressure homogenization, achieving a 94% recovery rate. Further increases in the temperature or duration enhance hydrolysis, leading to a significant reduction in the nanofibril size. The increase in the number of acidic amino acids within the nanofibrils enhances electrostatic repulsion, promoting their dispersion under acidic conditions.

Molecular imaging based spatiotemporal dynamics progression of brain glucose metabolism in multiple system atrophy.

Objective: Multiple system atrophy (MSA) is a progressive neurodegenerative disorder with complex clinical manifestations, which is essential for patient management and mechanistic understanding of MSA. In this study, we aimed to use disease progression modeling (SuStaIn model) to elucidate the in vivo spatiotemporal progression patterns of brain glucose metabolism in MSA patients, and investigate the differential profiles of clinical characteristics and dopaminergic function among the identified progression-related subtypes.

Methods: A total of 192 participants (117 MSA patients [70 MSA-P, 47 MSA-C] and 75 healthy controls) who underwent [F]FDG PET scans, with 82 MSA patients additionally receiving [F]FP-CIT PET imaging were retrospectively enrolled.

Sodium-glucose cotransporter 2 inhibitors alleviate renal fibrosis in diabetic kidney disease by inhibiting Hmgcs2 and Btg2 in proximal tubular cells.

Context: Sodium-glucose cotransporter 2 inhibitors (SGLT2i) have been shown to ameliorate renal fibrosis in diabetic kidney disease (DKD), but the mechanism has not been fully explored.

Methods: The single-cell sequencing (scRNA-seq) data were downloaded from the Gene Expression Omnibus (GEO) database, and we selected the tissue data from mice, mice and mice with SGLT2i treatment. The results were also validated by immunofluorescent staining and western blot in vivo and in vitro, respectively.

Single-Crystal Structure Determination of Superconducting LaNiO under High Pressure.

Ruddlesden-Popper nickelates have attracted enormous attention since the discovery of high-temperature superconductivity in bilayer LaNiO under high pressure. However, the crystal structure under high pressure remains elusive due to the lack of single crystal diffraction data. Here, high-pressure superconductivity with a superconducting onset temperature approaching 30K and a zero-resistance state at 7K at 53.

CRCs-CAFs crosstalk-targeted nano-delivery system reprograms tumor microenvironment for oxaliplatin resistance reversing and liver metastasis inhibition in colorectal cancer.

The five-year survival rate of patients with colorectal cancer (CRC) liver metastasis is less than 30 %, and chemotherapy resistance and metastatic microenvironment remodeling are the current treatment bottlenecks. Cancer-associated fibroblasts (CAFs) in the tumor microenvironment (TME) form a "CRCs-CAFs crosstalk" with colorectal cancer cells (CRCs) by secreting dense extracellular matrix (ECM), free fatty acids (FFA), and pro-metastatic factors, driving a vicious cycle of drug resistance and metastasis. During liver metastasis, hepatic stellate cells (HSCs)-derived CAFs (HSC-CAFs) promote tumor metastasis by remodeling the pre-metastatic microenvironment.

Bioengineered cardiovascular bypass grafts via in vivo self-assembly of scaffold-guided tubular tissue in rats.

Cardiovascular bypass grafting remains a crucial therapeutic approach for complex atherosclerotic diseases. However, the clinical application of traditional grafts is hampered by limited autologous vessel availability, while the translational potential of fully cellular self-assembled vascular grafts is constrained by their prolonged fabrication. Here, we present a scaffold-guided in vivo tubular tissue self-assembly strategy to rapidly engineer functional cardiovascular bypass grafts.

Superior terahertz radiation detection through novel micro circular log-periodic antenna engineered with an advanced evolutionary neural network algorithm.

In this work, we introduce a novel Micro Circular Log-Periodic Antenna (MCLPA) optimized with an advanced Evolutionary Neural Network (ENN) algorithm, specifically designed to enhance terahertz (THz) radiation detection. By leveraging the adaptive capabilities of the ENN framework, the antenna design efficiency is significantly improved, enabling rapid prototyping and yielding highly optimized structures tailored for practical THz applications. Extensive characterization confirms that the proposed MCLPA achieves outstanding performance, including an ultra-broad operational bandwidth of 372 GHz (0.

Adipose-Derived Exosomes: mediators of crosstalk between Adipose tissue and cancer.

Adipose-derived exosomes (ADEs), a subtype of extracellular vesicles, are critical mediators of communication between adipose tissue and tumors, playing pivotal roles in cancer progression and therapeutic response. These nanoscale vesicles carry microRNAs, proteins, and lipids that influence tumor cell proliferation, migration, metastasis, and immune modulation. The dual functions of ADEs - both in promoting and suppressing tumorigenesis - are largely dependent on their cellular origin, molecular cargo, and the characteristics of the tumor microenvironment.

MIL-100(Fe)-based Co-delivery platform as cascade synergistic chemotherapy and immunotherapy agents for colorectal cancer via the cGAS-STING pathway.

Colorectal cancer (CRC) remains a major global health burden as the third most commonly diagnosed malignancy and the second leading cause of cancer-related mortality worldwide. While combination chemotherapy and immune agonists hold potential to overcome tumor heterogeneity through multi-pathway modulation, their therapeutic efficacy remains limited by off-target drug distribution and immunosuppressive tumor microenvironment (TME). To address this, we developed a tumor-targeted chemo-immunotherapy platform by encapsulating irinotecan (CPT-11) and resiquimod (R848) in hyaluronic acid (HA) coated MIL-100(Fe) metal-organic frameworks (CRMH NPs), enabling CD44-mediated delivery and synergistic anti-tumor responses.

CircRNA Profiles Analysis of Neuroblastoma for Identification of Drug Targets.

Neuroblastoma is a prevalent pediatric tumor with a low 5-year survival rate among high-risk patients, and the prognosis remains poor despite available therapeutic interventions. Therefore, identifying novel and effective therapeutic targets is critical for improving outcomes in these patients. In this study, we performed an integrative analysis of two neuroblastoma circRNA sequencing datasets to identify potential drug targets.

Identifying Cancer Driver Genes Using a Neural Network Framework with Cross-attention Mechanism.

Identifying cancer driver genes can accelerate the discovery of drug targets and the development of cancer therapies. Recent research methods improve the accuracy of identifying cancer driver genes by using deep learning framework. However, due to ignore the connection among learned features, they usually have weak feature representations that limits further improvement in the accuracy of identifying cancer driver genes.

A Deep Learning Framework for Identifying Cancer Driver Genes Based on Transformer and Graph Convolutional Network.

Correct identification of cancer driver genes plays a significant role in cancer research. The advancement of graph neural network (GNN) research has led to the emergence of many high-performance cancer driver gene prediction methods. However, GNN-based methods frequently overlook the importance of capturing global information.

3‑Phenethyl-2-phenylquinazolin-4(3)‑one Inhibits Breast Cancer Cell Motility, Energy Metabolism, and Proliferation by Inactivating Phosphoinositide 3‑Kinase/Protein Kinase B and Epidermal Growth Factor Receptor Pathways.

Marine-derived compounds hold great promise for cancer therapy, targeting various essential processes in cancer progression, such as apoptosis, metastasis, proliferation, and drug resistance. 3-Phenethyl-2-phenylquinazolin-4-(3)-one () is a natural quinazolinone derivative extracted from the marine sediment-derived genus sp. CNQ-049.

Effects of non-intubation anesthesia based on a fentanyl-reduced regimen on hypoxemia during bronchoscopy for older patients: study protocol for a randomized controlled trial.

Background: Older patients are more likely to suffer from cardiopulmonary events during sedation-based bronchoscopy. It is important to balance the inhibition of stress and cardiopulmonary function, particularly for the elderly. This randomized controlled trial aims to investigate a fentanyl-reduced regimen on hypoxemia during bronchoscopy for older patients.

Decoding circRNA translation: challenges and advances in computational method development.

In recent years, numerous studies have demonstrated that circRNAs play crucial biological roles through their capacity to encode functional proteins. Computational methods have become essential for investigating circRNA translation. In this review, we first outline circRNA biogenesis and translation mechanisms to establish the rationale for developing specialized computational strategies.

Directly gain control of loosely bound pulsating soliton pairs in a mode-locked fiber laser.

The formation of multi-pulses with analogous characteristics in fiber lasers is due to the soliton energy quantization. The self-assembly behaviors of pulses akin to particles imply the potential for synchronized manipulation. However, for multi-pulses with separations on a large scale, also known as loosely bound soliton pairs (LBSP), it remains challenging to control muti-pulses precisely and reversibly.

Cost-effective and lightweight FBG demodulation system based on edge AI.

Fiber Bragg grating (FBG) sensors are extensively employed for structural health and condition monitoring. However, the high cost and large size of conventional FBG demodulation methods have hindered the widespread adoption of FBG-based sensing technologies. To overcome these challenges, this study proposes what we believe to be a novel demodulation system leveraging a tunable laser.

Stability of gut microbiota in non-small cell lung cancer patients during chemoradiotherapy and its association with radiation pneumonitis.

To assess the intra-patient stability of gut microbiota across longitudinal samples in non-small cell lung cancer (NSCLC) patients treated with chemoradiotherapy (CCRT), its association with radiation pneumonitis (RP), and the factors driving such stability. Intra-patient gut microbial stability between consecutive time points was quantified by stability coefficients (mS scores) using iteratively growing-partitioned clustering. Patients with G0 RP exhibited higher mS scores compared with those with G2+ RP.