Publications by authors named "Xuewei Wu"

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  • * Using Mendelian randomization and data from extensive genome-wide association studies, the research confirmed that specific cytokines can influence Alzheimer's risk while also revealing differing effects on ALS, MS, and PD.
  • * The findings highlight a genetic basis for the link between inflammatory cytokines and neurodegenerative disease risk, identifying both protective and harmful cytokines, and supporting the idea of a causal relationship in this context.
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  • Immune rejection due to mismatched human leucocyte antigens (HLAs) poses a significant challenge for allogeneic cell therapies.
  • Current methods to create 'universal' immune-compatible cells can lead to problems like genomic instability or cell damage.
  • By targeting a specific super-enhancer linked to HLA-I expression in mesenchymal stromal cells, researchers were able to reduce HLA-I on the cell surface, enhancing their survival in a humanized mouse model and improving therapeutic outcomes in acute lung injury.
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Introduction: The potential toxic effects of wastewater discharges containing silver nanoparticles (AgNPs) and their release into aquatic ecosystems on aquatic organisms are becoming a major concern for environmental and human health. However, the potential risks of AgNPs to aquatic organisms, especially for cardiac development by Focal adhesion pathway, are still poorly understood.

Methods: The cardiac development of various concentrations of AgNPs in zebrafish were examined using stereoscopic microscope.

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Genomics allows the tracing of origin and evolution of cancer at molecular scale and underpin modern cancer diagnosis and treatment systems. Yet, molecular biomarker-guided clinical decision-making encounters major challenges in the realm of individualized medicine, consisting of the invasiveness of procedures and the sampling errors due to high tumor heterogeneity. By contrast, medical imaging enables noninvasive and global characterization of tumors at a low cost.

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The accumulation of the active pharmaceutical chemical in the environment usually results in environmental pollution to increase the risk to human health. Indomethacin is a non-steroidal anti-inflammatory drug that potentially causes systemic and developmental toxicity in various tissues. However, there have been few studies for its potential effects on cardiac development.

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  • Deep learning models for glioma predictions have had limitations like manual segmentation and lack of biological insight, prompting the development of a new end-to-end multi-task deep learning (MDL) pipeline.
  • This MDL model predicts not only molecular alterations and histological grades but also patient prognosis by analyzing data from 2,776 glioma patients across multiple datasets.
  • The model shows impressive accuracy in predicting key factors like IDH mutation status and tumor grade, while also revealing correlations with biological processes that may improve personalized treatment decisions in glioma patients.
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Cervical cancer remains a significant global public health concern, often exhibits cisplatin resistance in clinical settings. Hypoxia, a characteristic of cervical cancer, substantially contributes to cisplatin resistance. To evaluate the therapeutic efficacy of cisplatin in patients with cervical cancer and to identify potential effective drugs against cisplatin resistance, we established a hypoxia-inducible factor-1 (HIF-1)-related risk score (HRRS) model using clinical data from patients treated with cisplatin.

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Carbon source is a key factor determining the denitrifying effectiveness and efficiency in wastewater treatment plants (WWTPs). Whereas, the relationships between diverse and distinct denitrifying communities and their favorable carbon sources in full-scale WWTPs were not well-understood. This study performed a systematic analysis of the relationships between the denitrifying community and carbon sources by using 15 organic compounds from four categories and activated sludge from 8 full-scale WWTPs.

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(CymMV) and (ORSV) are among the world's most serious and widespread orchid viruses; they often infect orchids, causing devastating losses to the orchid industry. Therefore, it is critical to establish a method that can rapidly and accurately detect viruses in the field using simple instruments, which will largely reduce the further spread of viruses and improve the quality of the orchid industry and is suitable for mass promotion and application at grassroots agrotechnical service points. In this investigation, we established a rapid amplification method for virus detection at 39 °C for 35 min to detect the presence of CymMV and ORSV simultaneously, sensitively, and specifically in orchids.

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With the fast economic development and accelerating urbanization, more and more skyscrapers made entirely of concrete and glass are being constructed. To keep a comfortable indoor environment, massive energy for air conditioning or heating appliances is consumed. A huge amount of heat (>30%) is gained or released through glass windows.

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Background: Previous deep learning models have been proposed to predict the pathological complete response (pCR) and axillary lymph node metastasis (ALNM) in breast cancer. Yet, the models often leveraged multiple frameworks, required manual annotation, and discarded low-quality images. We aimed to develop an automated and reusable deep learning (AutoRDL) framework for tumor detection and prediction of pCR and ALNM using ultrasound images with diverse qualities.

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Rationale And Objectives: Osteoporosis is primarily diagnosed using dual-energy X-ray absorptiometry (DXA); yet, DXA is significantly underutilized, causing osteoporosis, an underdiagnosed condition. We aimed to provide an opportunistic approach to screen for osteoporosis using artificial intelligence based on lumbar spine X-ray radiographs.

Materials And Methods: In this institutional review board-approved retrospective study, female patients aged ≥50 years who received both X-ray scans and DXA of the lumbar vertebrae, in three centers, were included.

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Optimizing the use of magnetite-chitosan composites for heavy metal adsorption has been of great interest due to their environmental friendliness. To gain insights into their potential with green synthesis, this study analyzed one of these composites through X-ray diffraction, Fourier-transform infrared spectroscopy and scanning electron microscopy. Adsorption properties were then explored via static experiments to evaluate the pH dependence, isotherms, kinetics, thermodynamics and regeneration adsorption of Cu(II) and Cd(II).

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Orchids are significant ornamental plants whose viral infection results in substantial economic damage. (CymMV), (ORSV), and (CymRSV) represent three important and prevalent orchid viruses. The detection system proposed in this study uses a triplex TaqMan quantitative real-time PCR assay to identify CymMV, ORSV, and CymRSV in a simultaneous manner.

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Introduction: Silver nanoparticles (AgNP) are widely used as coating materials. However, the potential risks of AgNP to human health, especially for neural and vascular systems, are still poorly understood.

Methods: The vascular and neurotoxicity of various concentrations of AgNP in zebrafish were examined using fluorescence microscopy.

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Cyclic GMP-AMP synthase (cGAS) senses cytosolic incoming DNA and consequently activates stimulator of interferon response cGAMP interactor 1 (STING) to mount immune response. Here, we show nuclear cGAS could regulate VEGF-A-mediated angiogenesis in an immune-independent manner. We found VEGF-A stimulation induces cGAS nuclear translocation via importin-β pathway.

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