Publications by authors named "Weiping Wang"

Cancer progression is characterized by dysregulated G1/S phase transition mediated by CDK4/6-dependent Rb protein phosphorylation. Although CDK4/6 degraders show encouraging anti-tumor efficacy, it is highly desired to develop strategies to spatiotemporally control the release of active CDK4/6 degraders to further reduce adverse effects. In this study, we employ an optochemical strategy for CDK4/6 degradation by caging the CRBN ligand with a photoremovable protecting group.

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Objective: Clinically significant prognostic indicators have not been identified for sudden sensorineural hearing loss (SSNHL). Consequently, this research aimed to evaluate the effectiveness of iron parameters in predicting prognostic outcomes for patients with SSNHL.

Methods: Ninety-one individuals with SSNHL were prospectively enrolled and received steroid treatment at a dosage of 1 mg/kg/day for two weeks.

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Metastasis and immune escape play crucial roles in the progression of colon cancer. Current chemotherapy and immunotherapy treatments have limited effectiveness in reversing the immunologically cold microenvironment. Therefore, it is essential to investigate efficient strategies to enhance the antitumor immunity.

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For patients with locally advanced cervical cancer (LACC), precise survival prediction models could guide personalized treatment. We developed and validated CerviPro, a deep learning-based multimodal prognostic model, to predict disease-free survival (DFS) in 1018 patients with LACC receiving definitive radiotherapy. The model integrates pre- and post-treatment CT imaging, handcrafted radiomic features, and clinical variables.

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Diabetes exacerbates the development and progression of periodontitis through the aggravation of persistent inflammation and tissue destruction. While the impact of diabetes on peripheral sensory nerves is well-documented, little is known about the role of diabetic neuropathy in bone destruction in diabetes-associated periodontitis. Herein, a significant loss of periodontal nerves is observed in the diabetic state of db/db mice, with trigeminal ganglion neurons showing decreased autophagy.

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The circle breathing system was unsafe for spontaneous breathing because of hypercapnia during anesthesia. Few studies have examined the minimizing dead space in breathing tubing. This study investigated one-way valves in the breathing tubing during spontaneous breathing in piglets.

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Sunbathing excessively heightens the risk of skin carcinogenesis due to ultraviolet (UV)-mediated immunosuppression. Keratinocytes, the primary cells in epidermis, play a pivotal role in orchestrating the UV-induced immunosuppressive response by releasing platelet-activating factor (PAF) upon UV exposure. Adopting a paradigm shift that transforms a known health hazard as a potential therapeutic asset, a novel therapeutic strategy is set out to investigate for inflammatory conditions by leveraging immunosuppressive properties of UV-irradiated keratinocytes.

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Background: The optimal blood pressure (BP) management following successful endovascular treatment (EVT) in acute ischaemic stroke (AIS) patients remains unclear. This study investigated the safety and efficacy of intensive BP control in AIS patients who had received EVT within 6 h.

Methods: This randomised, multicentre, open-label, blinded-endpoint clinical trial (ChiCTR2200057770) was conducted at 63 stroke centres in China.

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Iodine-based batteries have emerged prominently in grid energy storage due to their cost-effectiveness and versatility. However, traditional iodine cathodes featuring I/I mechanisms struggle to meet the current demands for high-energy-density batteries, considering their limited specific capacity and voltage. Here, we discover a unique eight-electron-transfer asymmetric three-stage conversion of iodine facilitated by the formation of interhalogens.

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Chemotherapy is a widely adopted treatment for malignant intraocular tumors such as retinoblastoma. However, achieving high delivery efficiency remains challenging due to rapid clearance and lack of targeting specificity. Cancer cell membrane-coated nanoparticles have been extensively reported to exhibit specific affinity to homotypic cancer cells.

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Leucine-rich repeat receptor-like kinases (LRR-RLKs) are integral to the adaptive mechanisms employed by plants during biotic and abiotic stresses. With global climate change, drought has become a menacing abiotic factor for plant growth and survival. It is well-known that plasma membrane-anchored LRR-RLKs show complicated actions in regulating the interlinking between abscisic acid (ABA) and brassinosteroid (BR) signaling, stomatal movement, and ROS (reactive oxygen species) homeostasis through the phosphorylation of target proteins in response to drought stress.

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Background: Multiple sclerosis (MS) is characterized as a chronic inflammatory autoimmune disorder affecting the central nervous system (CNS). Prior research has explored the involvement of pyroptosis and high mobility group box 1 (HMGB1) in the pathophysiology of MS. Nevertheless, the underlying pathogenic mechanisms and their interactions have yet to be fully elucidated.

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The voltage-dependent potassium channel Kv2.1 correlates closely to the regulation of neuronal excitability and cellular apoptosis. Ischemia or oxidative treatment were known to stimulate the surge of Kv2.

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Objectives: To investigate the mechanisms of ceftazidime/avibactam (CZA) resistance and the nosocomial dissemination of carbapenem-resistant Pseudomonas aeruginosa (CRPA) and carbapenem-resistant Klebsiella pneumoniae (CRKP) in an intensive care unit (ICU) in China.

Methods: Clinical CRPA and CRKP isolates were obtained from an ICU of a tertiary hospital in China from August 2020 to February 2021. Antimicrobial susceptibility was determined according to CLSI.

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Antimicrobial susceptibility testing (AST) is critical for guiding timely antibiotic therapy; however conventional methods used in hospitals remain time-consuming. To allow ultra-fast AST, we developed a phenotypic-based, microfluidic AST system capable of generating susceptibility profiles for 10 antibiotics within 1 h. The platform integrates antibiotic-exposed bacterial cultivation, dual-fluorescent viability staining (dye SYTO9 for all, and dye propidium iodide (PI) for dead cells), and morphometric analysis in a three-layer microfluidic chip.

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Real-world large-scale data often exhibit a long-tailed distribution, making a classifier difficult to generalize well on tail categories. A straightforward and effective approach to tackling this issue is reweighting. Traditionally, the weight of a category is designed according to its cardinality, i.

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Large language models (LLMs) are increasingly utilized in medical education and practice, yet their application in niche fields such as radiation oncology remains underexplored. This study evaluates and compares the performance of OpenAI's GPT-4o and Baidu's ERNIE Bot in a Chinese-language radiation oncology examination. We employed the Chinese National Health Professional Technical Qualification Examination (Intermediate Level) for Radiation Oncology, using a question bank of 1128 items across four sections: Basic Knowledge, Relevant Knowledge, Specialized Knowledge, and Practice Competence.

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Accurate extraction of molecular representations is a critical step in the drug discovery process. In recent years, significant progress has been made in molecular representation learning methods, among which multi-modal molecular representation methods based on images, and 2D/3D topologies have become increasingly mainstream. However, existing these multi-modal approaches often directly fuse information from different modalities, overlooking the potential of intermodal interactions and failing to adequately capture the complex higher-order relationships and invariant features between molecules.

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Objective: To evaluate the effectiveness of diagnosis and treatment at the collaborative National Standardized Metabolic Disease Management Center.

Methods: A nationally standardized selection process was used to recruit the healthcare team, followed by standardized training and assessment. The management center was equipped with coordinated healthcare resources, and clear workflows and responsibilities were established.

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The spatiotemporal distribution of land use/cover changes (LUCCs) and carbon storage (CS), as well as their driving factors under global climate change, have become key issues in ecological and environmental sciences. As a major contributor to global CS, understanding China's CS changes and the driving forces is crucial for addressing climate change and achieving carbon neutrality. In the study, China is split into seven major ecological zones, and a combined model is suggested that uses the CMIP6 climate scenarios (SSP1-2.

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Background: Hyperdense Middle Cerebral Artery (HMCAS) is one of the early CT signs of acute Ischemic Stroke (AIS) in patients with large vessel occlusion (LVO). Whether HMCAS is an accurate predictor of functional outcomes in LVO-AIS patients still needs to be further studied. The aim of this study was to analyze the predictive ability of HMCAS on functional outcomes in LVO-AIS patients who underwent emergency endovascular treatment with or without intravenous thrombolysis (IVT).

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Introduction: The nucleotide-binding domain leucine-rich repeat-containing family pyrin domain-containing 3 (NLRP3) inflammasome has been implicated in numerous neurological disorders, including epilepsy, through its role in inflammation and pyroptosis. Dihydromyricetin (DHM) has neuroprotective effects in patients with neurological disorders. However, the impact of DHM on the NLRP3 inflammasome pathway in epilepsy and related cognitive impairment is yet to be fully understood.

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Combining plants and soil organisms offers an effective strategy for managing heavy metal contamination. A pot experiment was conducted by using ryegrass (Lolium perenne L.) and earthworms (Eisenia fetida) under five levels of heavy metal contamination, applied individually and in combination.

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Light serves as an excellent external stimulus due to its high spatial and temporal resolution. The use of light to regulate biological processes has evolved into a vibrant field over the past decade. Employing light on chemical substances such as bioactive molecules and drug delivery systems offers a promising therapeutic approach to achieve precise control over biological processes.

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Marine eutrophication remains a pressing global environmental challenge, demanding urgent advances in science-based assessment frameworks to mitigate its ecological and socio-economic impacts. Current methodologies, however, face critical limitations, including overly complex indicator systems, high spatiotemporal variability in coastal and marine environments, challenges in distinguishing natural and anthropogenic drivers, and pervasive data scarcity. These issues often result in discrepancies between assessment outcomes and observed eutrophication dynamics, undermining management efficacies.

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