Publications by authors named "Kuo Zhang"

Introduction: Depression is a prevalent and persistent mental disease characterized by symptoms such as anhedonia, anxiety, and desperation. Although our previous study shows that Xiaochaihutang (XCHT) upregulates hippocampal brain-derived neurotrophic factor (BDNF) levels in depressed mice and rats, the underlying mechanism requires further clarification.

Objectives: To assess the mechanism by which XCHT regulates hippocampal BDNF expression in chronic social defeat stress (CSDS)-induced mice.

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Background: Psychological capital (PsyCap), the combination of hope, self-efficacy, resilience, and optimism, is gaining relevance for understanding youth life satisfaction and wellbeing. Typically a variety of unidimensional scales are used to measure PsyCap in mental health studies with English-speaking youth, limiting the ability to compare results across studies. The Positive Psychological Capital Questionnaire (PPQ) is a multi-dimensional tool developed with Asian youth to measure general PsyCap.

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Despite the outstanding clinical success of immunotherapy, its therapeutic efficacy in glioblastoma (GBM) is still limited. To identify critical regulators of GBM immunity, we constructed a mouse single-guide RNA (sgRNA) library corresponding to all disease-related immune genes, and performed an in vivo CRISPR knockout (KO) screen in syngeneic GBM mouse models. We demonstrated that the deletion of GDF15 in GBM cells ameliorated the immunosuppressive tumor microenvironment (TME) and enhanced the antitumor efficacy of immune checkpoint blockade (ICB) response.

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From the perspective of sustainable development and practical applications, there is a significant demand for the design of advanced cellulose-based film materials with superior mechanical, optical, and functional properties utilizing environmentally friendly strategies. Herein, biodegradable, mechanically robust and flame-retardant cellulose films with adjustable optical performance were successfully fabricated by in situ synthesis of NH-UiO(Zr)-66 via a DMF-free green process at room temperature. The results indicate that the introduction of NH-UiO(Zr)-66 enables films to realize a desirable flame retardancy (the limiting oxygen index (LOI) increased significantly from 19.

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To evaluate the diagnostic accuracy of artificial intelligence (AI) assisted radiologists and standard double-reading in real-world clinical settings for rib fractures (RFs) detection on CT images. This study included 243 consecutive chest trauma patients (mean age, 58.1 years; female, 166) with rib CT scans.

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As a graphene-like material, h-BN has stimulated great research interest recently due to its potential application for next-generation electronic devices. Herein, a systematic theoretical investigation of electronic structures and optical properties of C-doped and Cu-Al co-doped h-BN is carried out by the first-principles calculations. Firstly, two different C-doped h-BN structures for the para-position and ortho-position are constructed.

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Left atrial appendage occlusion (LAAO) is a well-established alternative to anticoagulation therapy for patients with atrial fibrillation who have a high bleeding risk. After occluder implantation, anticoagulation therapy is still required for at least 45 days until complete LAAO is achieved by neoendocardial coverage of the device. We applied a polylactic acid-resveratrol coating to the LAAO membrane to enhance endothelialization with the goal of shortening the anticoagulation therapy duration.

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Large language models (LLMs) are rapidly advancing medical artificial intelligence, offering revolutionary changes in health care. These models excel in natural language processing (NLP), enhancing clinical support, diagnosis, treatment, and medical research. Breakthroughs, like GPT-4 and BERT (Bidirectional Encoder Representations from Transformer), demonstrate LLMs' evolution through improved computing power and data.

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Introduction: Alzheimer's disease (AD) represents the most common neurodegenerative disorder, characterized by progressive cognitive decline and memory loss. Despite the recognition of mitochondrial dysfunction as a critical factor in the pathogenesis of AD, the specific molecular mechanisms remain largely undefined.

Method: This study aimed to identify novel biomarkers and therapeutic strategies associated with mitochondrial dysfunction in AD by employing bioinformatics combined with machine learning methodologies.

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CDK4/6i, the first-line drug for treating ERα-positive breast cancer, significantly improves clinical outcomes. However, CDK4/6i resistance often develops and remains a major hurdle, and the underlying mechanisms remain challenging to fully investigate. Here, we used Genome-wide CRISPR/Cas9 library screening combined with single-cell sequencing to screen for molecules mediating CDK4/6i resistance and identified METTL14 as a determinant of CDK4/6i sensitivity.

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Background: Accurate detection of human epidermal growth factor receptor 2 (HER2) gene amplification via fluorescence in situ hybridization (FISH) is necessary to determine HER2 status. Although many attempts have been made to increase the consistency of the results, the actual situation still needs to be determined. To investigate the latest interlaboratory variability of HER2 FISH testing for breast cancer, a multicenter proficiency-testing ring study was conducted in China.

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In hepatocellular carcinoma (HCC), lenvatinib is a key first-line treatment that significantly improves survival in some patients with advanced stage. However, lenvatinib resistance presents a major clinical challenge. This study aims to identify key molecular factors driving lenvatinib resistance in HCC and propose intervention strategies to overcome this resistance, thereby enhancing therapeutic efficacy.

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Primary intracranial malignant melanoma(PIMM) is often difficult to treat in patients without a history of skin melanoma or extensive melanin deposition. Due to the rarity of the disease, the current accepted treatment is surgical resection, but the prognosis is still poor. We report a case of PIMM in an adolescent girl with epilepsy as the only symptom and atypical imaging findings.

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Article Synopsis
  • Traditional dendritic cell (DC) vaccines face challenges like poor antigen delivery, ineffective lymph node targeting, and risks from living cell transfers.
  • The new HybridDC nanovaccine uses engineered DC membranes and anchors multiple components to enhance antigen presentation and boost anti-tumor immunity.
  • HybridDC shows improved targeting of lymphoid tissues, effective treatment against glioma models, and enhances the effectiveness of immune checkpoint blockade therapies, suggesting it could revolutionize personalized cancer immunotherapy.
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Objective: is a traditional Chinese medicinal and functional food with various effects such as anti-liver injury, hypoglycemia, antioxidants, and anti-tumor. The aim of this study was to investigate the protective effects and mechanisms of the ethanolic extract of (EEIB) on alcohol-induced liver injury in mice.

Methods: Fifty-six female C57BL/6 mice were randomly divided into seven groups: control group (Con), ethanol feeding model group (EtOH), Silibinin positive treatment group (EtOH + Silibinin 100 mg/kg), EEIB treatment group (EtOH + EEIB 100, 200, and 400 mg/kg), and EEIB control group (EEIB 400 mg/kg).

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Metabotropic glutamate receptor 7 (mGlu) is a G protein-coupled receptor that is preferentially found in the active zone of neurotransmitter release in the central nervous system (CNS). mGlu plays a vital role in memory, learning, and neuronal development, rendering it a potential target for treating epilepsy, depression, and anxiety. The development of noninvasive imaging ligands targeting mGlu could help elucidate the functional significance of mGlu and accelerate drug discovery for neurological and psychiatric disorders.

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Hydrocephalus is a severe and life-threatening disease associated with the imbalance of CSF dynamics and affects millions globally at any age, including infants. One cause of pathology that is wide-ranging is genetic mutations to post-traumatic injury. The most effective current pharmacological treatments provide only symptomatic relief and do not address the underlying pathology.

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Ischemic stroke (IS) is characterized by high mortality, disability rates, and a high risk of recurrence. Motor dysfunction, such as limb hemiparesis, dysphagia, auditory disorders, and speech disorders, usually persists after stroke, which imposes a heavy burden on society and the health care system. Traditional rehabilitation therapies may be ineffective in promoting functional recovery after stroke, and alternative strategies are urgently needed.

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At present, at least 30% of refractory epilepsy patients in the world cannot be effectively controlled and treated. The suddenness and unpredictability of seizures greatly affect the physical and mental health and even the life safety of patients, and the realization of early prediction of seizures and the adoption of interventions are of great significance to the improvement of patients' quality of life. In this paper, we firstly introduce the design process of EEG-based seizure prediction methods, introduce several databases commonly used in the research, and summarize the commonly used methods in pre-processing, feature extraction, classification and identification, and post-processing.

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Phosphodiesterases (PDEs) constitute a superfamily of phosphohydrolytic enzymes that regulate intracellular second messenger signaling by hydrolyzing cyclic adenosine monophosphate and cyclic guanosine monophosphate. Among the 11 subfamilies of PDEs, phosphodiesterase 1 (PDE1) stands out due to its broad implications in central and peripheral pathologies. There are three subtypes of PDE1: PDE1A, PDE1B, and PDE1C.

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Aconitum carmichaelii Debx., a traditional herb known for its potent bioactivities, has been widely used in Traditional Chinese Medicine, particularly in the forms of Chuanwu and Fuzi. Despite the therapeutic benefits of this plant, concerns have been raised regarding its neuropharmacological actions and potential neurotoxicity.

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Optical neural networks (ONNs) exhibit significant potential for accelerating artificial intelligence task processing due to their low latency, high bandwidth, and parallel processing capabilities. Photonic crystals (PhCs) are extensively utilized in integrated optoelectronics because of their unique photonic bandgap properties and precise control of light waves. In this study, we propose an optical reconfigurable convolutional kernel based on PhCs.

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Ethnopharmacological Relevance: XuanFuDaiZhe Tang (XFDZT) is used in traditional Chinese medicine (TCM) to treat diarrhoea-predominant irritable bowel syndrome (IBS-D). Our laboratory has demonstrated that XFDZT remarkably improves various gastrointestinal motility disorders in animal models. However, previous studies have only focused on one or several protein targets without systematically investigating dynamic changes and protein interrelations.

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Hydrocephalus can affect brain function and motor ability. Current treatments mostly involve invasive surgeries, with a high risk of postoperative infections and failure. A successful animal model plays a significant role in developing new treatments for hydrocephalus.

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Article Synopsis
  • The tumor microenvironment (TME) significantly affects the success of treatments for hepatocellular carcinoma (HCC), specifically highlighting the role of tumor-associated endothelial cells (TECs) that influence tumor development and treatment response.
  • A study using multi-omics profiling investigated different TEC subpopulations in HCC, uncovering a new subset, CXCL12 TECs, that suppresses immune responses by preventing T cell activation and attracting immune-suppressive cells.
  • Targeting CXCL12 TECs with a bispecific antibody aimed at both CXCL12 and PD1 shows potential to enhance anti-tumor immune responses, representing a promising strategy to improve HCC immunotherapy outcomes.
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