Publications by authors named "ChenXi Xie"

Procaterol, a third-generation long-acting β₂-adrenergic receptor agonist, is widely used in asthma and chronic obstructive pulmonary disease (COPD) treatment. Rapid and sensitive detection of Procaterol is essential for both clinical monitoring and environmental surveillance. This study presents a facile and gram-scale synthesis of tubular silver-based Metal-organic framework (MOF) MONT by employing an ultrasonic-assisted green synthesis strategy (20 kHz ultrasound, 100 W power, 30 min).

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Bacterial infection, especially multidrug-resistant (MDR) bacterial infection, is a great challenge in clinical wound repair, highlighting the urgent to develop antibacterial hydrogel dressing. In this work, a multifunctional cerium-polypeptide hydrogel (FEPC) with comprehensive antibacterial, antioxidant, anti-inflammatory and angiogenesis ability was developed for the treatment of methicillin-resistant (MRSA) infected wounds. The FEPC hydrogel was constructed using Ce and antibacterial polypeptide co-crosslinked γ-polyglutamic acid (γ-PGA) through double dynamic electrostatic and coordination interaction.

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Environmental pollution plays a major role in the development of prostate cancer (PCA). However, there has been no research on machine learning (ML) modelling between multiple heavy metal exposures and PCA risk. Based on the 8022 samples from the 2003-2018 National Health and Nutrition Examination Survey (NHANES) database, we utilized the information pertaining to the concentrations of 18 blood and urinary heavy metals and minerals as well as 14 covariates.

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Microplastics are a pervasive environmental pollutant, altering microbial communities and disrupting global biogeochemical cycles. Mangrove forests, critical blue carbon habitats, are significant sinks for microplastic accumulation, yet they also cycle large amounts of methane, a potent greenhouse gas. The effect of plastic pollution on methane dynamics in these vital habitats remains, however, poorly understood.

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Background: Numerous studies have indicated that circular RNAs (circRNA) are involved in the regulation of various malignant tumors, including intrahepatic cholangiocarcinoma (ICC). However, the exact role of circRNA in the progression of ICC and their underlying regulatory mechanisms remain to be further elucidated.

Methods: We investigated the dysregulation of circRNA expression profiles in five pairs of ICC tissues and adjacent normal tissues through high-throughput sequencing, revealing a significant upregulation of circ_0084927.

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Changes of several trace elements have been reported to contribute to the pathogenesis of Crohn's disease (CD), which is associated with gut microbiota imbalance. This study aimed to investigate changes in trace elements in Chinese CD patients, and explore the correlation of trace element status with clinical features and gut microbiota. Eighty CD patients and 45 healthy volunteers were enrolled between July 2022 and November 2022.

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The analysis of cognitive trajectories is relatively underexplored in China. Furthermore, most previous studies examining the association between cognitive function and mortality have been limited to cross-sectional perspectives. This study aims to identify distinct cognitive trajectories and the corresponding influencing factors and investigate the impact of these trajectories on all-cause mortality in Chinese older adults.

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Current evidence indicates that circRNAs are involved in the development of multiple malignancies including hepatocellular carcinoma (HCC). However, the specific functions of circRNAs in HCC metabolism and progression and their underlying regulatory mechanisms remain unclear. We have identified a novel circRNA circMFN2, by bioinformatics analysis of circRNA microarray data from the GEO database.

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Article Synopsis
  • Recent advancements have shown the use of Lie groups and Lie algebra in simplifying position and velocity computations in nonlinear robotic systems, particularly for localization.
  • The unscented Kalman filter (UKF) is effective for nonlinear systems, but applying it with Lie groups can be complex, so strategies for simplifying computations on manifolds are explored.
  • This paper presents a multi-sensor fusion localization method utilizing an unscented Kalman filter on manifolds, tested on an Autonomous Underwater Vehicle (AUV), which successfully improves trajectory estimation in underwater environments.
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This study aimed to investigate whether class A1 scavenger receptor (SR-A1) regulated macrophage polarization and gut microbial alteration during intestinal inflammation of colitis. A murine colitis model was established by feeding with dextran sulfate sodium (DSS), and treatment groups were injected intravenously with SR-A1 antibody. Results showed a preventive effect on colitis symptoms and fewer inflammatory cell infiltrates in treatment groups.

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Objectives: The aim of this study was to predict the risk of dental implant loss by clustering features associated with implant survival rates.

Materials And Methods: Multiple clinical features from 8513 patients who underwent single implant placement were retrospectively analysed. A hybrid method integrating unsupervised learning algorithms with survival analysis was employed for data mining.

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  • Thrombosis significantly contributes to cardiovascular diseases and fatalities, with percutaneous coronary intervention (PCI) being the preferred treatment for acute myocardial infarction (AMI), though logistical challenges exist in remote areas.
  • Preoperative thrombolysis emerges as an essential alternative in these settings, requiring identification of safe and effective thrombolytic agents.
  • The study tested Urokinase, Alteplase, and rhTNK, finding rhTNK to be the most effective with minimal adverse effects and the lowest bleeding rate, positioning it as the ideal choice for AMI treatment.
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  • * A total of 93 volatile compounds were identified, with aldehydes being more abundant in white tea; multivariate statistical analysis successfully categorized the different tea samples.
  • * Key compounds that differentiate the teas were identified, including 15 significant ones, with findings suggesting that GC-IMS can effectively distinguish tea types, aiding in quality improvement and product development.
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  • - RNA velocity is a valuable tool for understanding how cells respond and change over time, but existing methods have limitations due to their assumptions.
  • - The study presents SymVelo, a new framework that combines both high- and low-dimensional data to analyze cellular processes more effectively.
  • - SymVelo has been shown to successfully track cell differentiation, study gene responses, and analyze transcription dynamics, while also being flexible enough for future research applications.
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Diabetic wounds environment is over-oxidized, over-inflammatory, leading to difficulties in regenerating blood vessels, and retardation of healing in diabetic wounds. Therefore, diabetic wounds can be treated from the perspective of scavenging oxidative free radicals and reducing the level of inflammation. Herein, we report a bioactive poly(salicylic acid)-poly(citric acid) (FPSa-PCG) hydrogel for diabetic wound repair.

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Hepatocellular carcinoma (HCC) is one of the most common aggressive tumors in the world. Despite the availability of various treatments, its prognosis remains poor due to the lack of specific diagnostic indicators and the high heterogeneity of HCC cases. CircRNAs are noncoding RNAs with stable and highly specific expression.

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Background: Intrahepatic cholangiocarcinoma (ICC) is a highly malignant tumor with a poor prognosis. This study aimed to investigate whether Hemoglobin, Albumin, Lymphocytes, and Platelets (HALP) score and Tumor Burden Score (TBS) serves as independent influencing factors following radical resection in patients with ICC. Furthermore, we sought to evaluate the predictive capacity of the combined HALP and TBS grade, referred to as HTS grade, and to develop a prognostic prediction model.

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Existing salient object detection methods often adopt deeper and wider networks for better performance, resulting in heavy computational burden and slow inference speed. This inspires us to rethink saliency detection to achieve a favorable balance between efficiency and accuracy. To this end, we design a lightweight framework while maintaining satisfying competitive accuracy.

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Fecal microbiota transplantation (FMT) can induce clinical remission in ulcerative colitis (UC) patients. Enemas, nasoduodenal tubes, and colonoscopies are the most common routes for FMT administration. However, there is a lack of definitive evidence regarding the effectiveness of capsulized FMT treatment in UC patients.

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Salient Object Detection has boomed in recent years and achieved impressive performance on regular-scale targets. However, existing methods encounter performance bottlenecks in processing objects with scale variation, especially extremely large- or small-scale objects with asymmetric segmentation requirements, since they are inefficient in obtaining more comprehensive receptive fields. With this issue in mind, this paper proposes a framework named BBRF for Boosting Broader Receptive Fields, which includes a Bilateral Extreme Stripping (BES) encoder, a Dynamic Complementary Attention Module (DCAM) and a Switch-Path Decoder (SPD) with a new boosting loss under the guidance of Loop Compensation Strategy (LCS).

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The bone defects caused by trauma are inevitably accompanied by soft tissue damage. The development of multifunctional bioactive biomaterials with integrated bone and soft tissue regeneration is necessary and needed urgently in orthopedics. In this work, we found that the photoactivated MXene (TiCT) nanosheet showed positive effects on promoting both bone and soft tissue regeneration.

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Current treatments for full-thickness skin injuries are still unsatisfactory due to the lack of hierarchically stimulated dressings that can integrate the rapid hemostasis, inflammation regulation, and skin tissue remodeling into the one system instead of single-stage boosting. In this work, a multilayer-structured bioactive glass nanopowder (BGN@PTE) is developed by coating the poly-tannic acid and ε-polylysine onto the BGN facile layer-by-layer assembly as an integrative and multilevel dressing for the sequential management of wounds. In comparison to BGN and poly-tannic acid coated BGN, BGN@PTE exhibited the better hemostatic performance because of its multiple dependent approaches to induce the platelet adhesion/activation, red blood cells (RBCs) aggregation and fibrin network formation.

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Article Synopsis
  • Grading endoscopic lesions is crucial for assessing ulcerative colitis severity and treatment strategies, but existing methods are inadequate.
  • The study evaluated new endoscopic scoring systems, specifically DUBLIN and modified DUBLIN scores, to see how they relate to clinical disease severity and the potential for long-term remission.
  • Results showed that higher modified DUBLIN scores were linked to a greater risk of treatment failure, while both scores effectively helped identify serious disease cases.
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Background And Aims: Endoscopy is increasingly performed for evaluating patients with ulcerative colitis (UC). However, its diagnostic accuracy is largely affected by the subjectivity of endoscopists' experience and scoring methods, and scoring of selected endoscopic images cannot reflect the inflammation of the entire intestine. We aimed to develop an automatic scoring system using deep-learning technology for consistent and objective scoring of endoscopic images and full-length endoscopic videos of patients with UC.

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