Publications by authors named "Ziang Xu"

In situ cancer vaccines have emerged as an attractive paradigm for cancer immunotherapy. Nevertheless, insufficient antigens production, weak antigen presentation and immunosuppressive tumor microenvironment impeded the effectiveness of tumor immunotherapy. Herein, we constructed the NLRP3 inflammasome mediated in situ cancer vaccine (FPLB), in which rod shaped α-FeO@Pt schottky heterojunction loaded with lactate oxidase (LOx) and surface-modified with bovine serum albumin and folic acid conjugation (FA-BSA).

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The healing of deep second- and third-degree scald wounds is frequently impaired by inflammation, oxidative stress, vascular damage, and neural injury, creating substantial challenges for clinical wound management. To address this, we developed a novel hydrogel dressing strategy utilizing alpha-lipoic acid-modified chitosan (LAMC) combined with a four-armed polyethylene glycol derivative (PEG-NHS). This hydrogel achieves rapid wound coverage through its inherent adhesive properties, followed by ultraviolet (UV)-triggered secondary cross-linking to enhance mechanical stability (average compression strength reaches about 173 KPa).

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The removal of selenite (SeO) from water is challenging due to the risk of secondary pollutants. To address this, we developed RuO-based nanocatalysts on the titanium plate (RuO/TP) for direct electrochemical reduction of Se(IV) to elemental selenium [Se(0)]. Optimizing Sn doping in RuO nanoparticles to induce charge redistribution enabled the RuSnO/TP catalyst to achieve ∼90% Se(IV) removal across concentrations of 0.

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Background: Osteosarcopenia is a geriatric syndrome associated with an increased risk of frailty, falls, fractures, disability, and death. Calf circumference (CC) has been used as a simple and practical skeletal muscle marker to diagnose sarcopenia. This study aimed to explore the relationship of calf circumference and osteoporosis (OP) and hip fractures (HF) in middle-aged and older adults.

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Article Synopsis
  • Efficient conduction of hydroxide ions (OH) in anion exchange membranes (AEMs) is crucial for improving sustainable technologies like water electrolysis and fuel cells.
  • Researchers developed innovative AEMs with rigid, heteroatom-free micropores engineered for fast and stable ionic transport, resulting in a significant increase in conductivity and durability.
  • These new membranes not only improve energy efficiency and lifespan, but also allow for the use of less expensive catalysts, making them promising for future advancements in electrochemical applications.
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Difference frequency generation (DFG) based tunable single-frequency mid-infrared (MIR) light sources are desirable for high-resolution spectroscopy, sensing, and imaging. In this work, we demonstrate a continuous-wave (CW) single-frequency DFG in a ZnGeP (ZGP) crystal driven by all-fiber near-infrared (NIR) fiber lasers, for the first time to our knowledge. The all-fiber NIR laser sources consist of a 1.

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Cell-surface engineering holds great promise in boosting endogenous stem cell attraction for tissue regeneration. However, challenges such as cellular internalization of ligand and the dynamic nature of cell membranes often complicate ligand-receptor interactions. The aim of this study is to harness the innovative potential of programmable tetrahedral framework nucleic acid (tFNA) to enable precise, tunable ligand-receptor interactions, thereby improving stem cell recruitment efficiency.

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Sonodynamic therapy (SDT) is a burgeoning and newfangled therapy modality with great application potential. Sonosensitizers are essential factors used to ensure the effectiveness of SDT. For the past few years, a lot of scientists have discovered many valid ways to refine and improve the performance of SDT.

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Background: Whether pain, jaw function and quality of life are correlated with disc positions is controversial, and similar studies evaluating disc positions by magnetic resonance imaging (MRI) are very limited.

Objective: This study evaluated the pain, mandibular function and quality of life of the temporomandibular disorders (TMDs) patients with different disc positions according to MRI, and the relationship among them.

Methods: Three hundred and thirty-five participants were included.

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Introduction: Immunotherapy has led to a paradigm shift in reinvigorating treatment of cancer. Nevertheless, tumor associated macrophages (TAMs) experience functional polarization on account of the generation of suppressive metabolites, contributing to impaired antitumor immune responses.

Methods: Hence, metabolic reprogramming of tumor microenvironment (TME) can synergistically improve the efficacy of anti-tumor immunotherapy.

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Fabrication of ion-conducting membranes with continuous sub-nanometer channels holds fundamental importance for flow batteries in achieving safe integration of renewable energy into grids. Self-standing covalent organic polymer (COP) membranes provide feasibility due to their rapid and selective ion transport. However, the development of a scale-up possible, mechanically robust and chemically stable membranes remains a significant challenge.

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Article Synopsis
  • The study investigates the effectiveness and safety of various PI3K/AKT inhibitors in treating cancers, focusing on comparing their efficacy across different cancer types.
  • An analysis of 34 studies with 6,710 patients revealed that these inhibitors are particularly effective for mutant cancers, although they often have poor safety profiles.
  • Specifically, capivasertib was noted as effective for solid tumors like breast cancer, while idelalisib was effective for hematological cancers such as chronic lymphocytic leukemia.
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Introduction: Breast cancer, a heterogeneous disease, is influenced by multiple genetic and epigenetic factors. The majority of prognostic models for breast cancer focus merely on the main effects of predictors, disregarding the crucial impacts of gene-gene interactions on prognosis.

Objectives: Using DNA methylation data derived from nine independent breast cancer cohorts, we developed an independently validated prognostic prediction model of breast cancer incorporating epigenetic biomarkers with main effects and gene-gene interactions (ARTEMIS) with an innovative 3-D modeling strategy.

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Developing a high-efficiency and stable anode catalyst layer (CL) is crucial for promoting the practical applications of anion exchange membrane (AEM) water electrolyzers. Herein, a hierarchical nanosheet array composed of oxygen vacancy-enriched CoCrO nanosheets and dispersed FeNi layered double hydroxide (LDH) is proposed to regulate the electronic structure and increase the electrical conductivity for improving the intrinsic activity of the oxygen evolution reaction (OER). The CoCrO/NiFe LDH electrodes require an overpotential of 205 mV to achieve a current density of 100 mA cm, and they exhibit long-term stability at 1000 mA cm over 7000 h.

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Alzheimer's disease (AD) is the most common neurodegenerative disease, and it consumes considerable medical resources with increasing number of patients every year. Mounting evidence show that the regulatory disruptions altering the intrinsic activity of genes in brain cells contribute to AD pathogenesis. To gain insights into the underlying gene regulation in AD, we proposed a graph learning method, Single-Cell based Regulatory Network (SCRN), to identify the regulatory mechanisms based on single-cell data.

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Data-driven methods have shown tremendous progress in medical image analysis. In this context, deep learning-based supervised methods are widely popular. However, they require a large amount of training data and face issues in generalisability to unseen datasets that hinder clinical translation.

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Background: Transarterial chemoembolization (TACE) is a common treatment for hepatocellular carcinoma (HCC), but the best therapeutic agent for TACE treatment has not been determined. The neutrophil/lymphocyte ratio (NLR) is a systemic immune system marker; however, the ability of the NLR to predict the prognosis of patients with HCC is unknown, and no studies have been conducted to determine the most appropriate TACE regimen for HCC patients with different NLRs.

Methods: The PubMed, Embase, Web of Science, and CNKI databases were searched through May 28, 2023.

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With the escalating severity of environmental pollution caused by effluent, the wastewater treatment process (WWTP) has gained significant attention. The wastewater treatment efficiency and effluent quality are significantly impacted by effluent scheduling that adjusts the hydraulic retention time. However, the sequential batch and continuous nature of the effluent pose challenges, resulting in complex scheduling models with strong constraints that are difficult to tackle using existing scheduling methods.

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Article Synopsis
  • The study aimed to create a reliable and efficient system for grading oral epithelial dysplasia in leukoplakia, addressing the challenges of time consumption and reproducibility faced by pathologists.
  • Researchers tested four convolutional neural networks and found that EfficientNet-B0 was the best model, leading to the development of a system called E-MOD-plus.
  • E-MOD-plus demonstrated high prediction accuracy in internal and external datasets, showing promise for assisting pathologists in clinical practice with the detection and grading of dysplasia.
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Polymeric membrane sensors based on molecular imprinted polymers (MIPs) have been attractive analytical tools for detecting organic species. However, the MIPs in electrochemical sensors developed so far are usually prepared by polymerization of pre-polymers and non-covalent adsorption on the surface of the working electrode. Meanwhile, the MIPs in the electrochemical sensors developed are typically made of a non-conductive polymer film.

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Background: The clinical value and molecular characteristics of tumor differentiation in oral squamous cell carcinoma (OSCC) remain unclear. There is a lack of a related molecular classification prediction system based on pathological images for precision medicine.

Methods: Integration of epidemiology, genomics, experiments, and deep learning to clarify the clinical value and molecular characteristics, and develop a novel OSCC molecular classification prediction system.

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Arsenic (As) is a toxic metalloid that poses a potential risk to the environment and human health. In this study, drinking water treatment residue (DWTR) and ceramsite-based vertical flow constructed wetlands (VFCWs) were built to purify As-containing wastewater. As a method of bioaugmentation, arbuscular mycorrhizal fungi (AMF) was inoculated to Pteris vittata roots to enhance the As removal of the VFCWs.

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Perfluorobutanesulfonyl fluoride (PBSF) has been used in the manufacture of fluorochemicals. Since PBSF is not biodegradable, the predicted environmental levels of PBSF are also expected to rise over time. In recent years, there has been a rise in the levels of PBSF in humans.

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A visible-light-induced metal-free trifluoromethylselenolation of aryl iodides and bromides with [MeN][SeCF] is described. The reaction was conducted at ambient temperature by successfully harnessing the light-sensitive SeCF reagent. Mechanistically, the EDA complexes between aryl halide and the SeCF anion or the base might be formed and excited by light, which subsequently undergo intracomplex SET processes to generate aryl and •SeCF radicals as key intermediates, allowing a convenient and green access to various aryl trifluoromethyl selenoethers.

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Natural multicomponent peptides with abundant bioactivity, varied sizes, and tunable interaction potential are available for rational designing novel self-assembled delivery carriers. Herein, we exploited zein-hyaluronic acid nanoparticles (Z-HA NPs) with a predetermined ordered structure as precursor templates to induce the self-assembly of egg white-derived peptides (EWDP) to generate stable spherical architectures for the enhancement of curcumin (Cur). The resulting Z-EWDP-HA NPs encapsulated hydrophobic Cur through robust hydrogen bonding and hydrophobic interactions with high encapsulation efficiency (97.

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