Publications by authors named "Junyi Li"

Objective: This study aimed to comprehensively investigate the antibiotic resistance characteristics of in chronic rhinosinusitis (CRS) patients and to identify key determinants influencing the development of methicillin-resistant Staphylococcus aureus (MRSA) infections.

Methods: A retrospective analysis was conducted on 180 CRS patients admitted to our hospital between February 2022 and July 2024. Nasal secretion samples were collected upon admission for strain isolation, and antibiotic susceptibility testing was performed using an automated microbiology system.

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Conventional nanocarriers have three inherent limitations: therapeutic inefficacy, suboptimal drug-loading capacity, and disease-specific nanocarrier requirements necessitating frequent structural reconfiguration. To overcome these challenges, we developed a novel modular synergistic bioactive nanocarrier based on olsalazine (Olsa), utilizing a modular coordination-switching strategy to achieve cross-disease therapeutic adaptability. A spherical Olsa-based Cu/Fe metal-organic framework (MOF) was developed for colorectal cancer (CRC) therapy to encapsulate doxorubicin (DOX) and address the intrinsic hydrogen peroxide (HO) deficiency in tumor microenvironments through a self-catalytic HO regeneration mechanism.

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Traditional Chinese medicine is a valuable source of bioactive compounds for combating aging. Among these, β-sitosterol (BS), a sterol extracted from , has attracted attention for its potent antioxidant, anti-inflammatory, and free radical scavenging properties. However, its precise anti-aging mechanism remains unclear.

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Doxorubicin (DOX), a widely used chemotherapeutic agent, is associated with dose-dependent cardiotoxicity that limits its clinical application. Emerging evidence implicates that receptor-interacting protein kinase 3 (RIP3) and the Toll-like receptor 4 (TLR4)/myeloid differentiation primary response 88 (MyD88)/nuclear factor kappa-B (NF-κB) signaling pathway play pivotal roles in DOX-induced cardiac inflammation and cell death. Empagliflozin, an sodium-glucose co-transporter 2 (SGLT2) inhibitor, has shown potential cardioprotective effects independent of its glucose-lowering actions.

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Introduction: Cognitive screening to detect mild cognitive impairment (MCI) and dementia in primary care settings has proven to be a challenging task. The ideal solution would be a brief, yet sensitive, tool appropriate for use with individuals from diverse educational and cultural backgrounds that requires limited time and expertise from clinic staff. The purpose of this project was (1) to develop an automated cognitive screening tool incorporating cognitive and speech/language data using machine learning techniques for potential use in primary care settings and (2) to compare its classification accuracy to an established cognitive screening measure.

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In the vanilla zero-shot learning (ZSL) paradigm, category attributes is the key for knowledge generalizable transfer from seen to unseen classes. By contrast, the current contrastive language-image pretraining (CLIP) model relies on the category names to achieve a more general ZSL-like prediction. When vanilla ZSL meets general CLIP, however, most existing methods on both sides struggle to benefit from each other.

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Spatial transcriptomics is able to acquire cellular gene expression while retaining spatial location. It is often accompanied by matched hematoxylin and eosin-stained histology whole-slide images. This retention of spatial information is critical for studying key issues in cell biology, developmental biology, neurobiology, and tumor biology.

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Primary progressive aphasia (PPA) is a neurodegenerative syndrome characterized by progressive decline in speech and/or language. There are three PPA subtypes with distinct speech-language profiles. Early diagnosis is essential for optimal provision of care but differential diagnosis by PPA subtype can be difficult and time consuming.

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Wetlands, especially lakeshore ecosystems, play an essential role in global carbon (C) cycling and are strongly influenced by dynamic water-salt gradients. However, the mechanisms by which these gradients shape microbial communities and affect soil organic C (SOC) degradation remain incompletely understood. Here, we aimed to elucidate microbial mechanisms driving C degradation shifts along water-salt gradients.

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Background: Prostate cancer, the most prevalent male malignancy in Western countries, seldom presents as secondary rectal linitis plastica (RLP).

Case Presentation: We present an 82-year-old man with a 6-month history of altered bowel habits, narrowed stools, and mucous discharge, with absent lower urinary tract symptoms. Serum Prostate Specific Antigen (PSA) was markedly elevated (392 ng/mL).

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Background: Prostate cancer (PCa) is characterized by high incidence and recurrence rates, presenting as an immune 'cold' tumor that exhibits a poor response to immunotherapy. The mechanisms underlying immune suppression and evasion within the tumor microenvironment (TME) of PCa remain inadequately understood.

Methods: A comprehensive analysis of the immune environment in PCa was conducted using combined single-cell and spatial transcriptomic approaches, encompassing samples from healthy tissue, adjacent normal tissue, and localized tumors.

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Objective: This study assesses the effectiveness of super-resolution deep learning reconstruction (SR-DLR), conventional deep learning reconstruction (C-DLR), and hybrid iterative reconstruction (HIR) in enhancing image quality and diagnostic performance for pediatric congenital heart disease (CHD) in CT angiography (CCTA).

Materials And Methods: A total of 91 pediatric patients aged 1-10 years, suspected of having CHD, were consecutively enrolled for CCTA under free-breathing conditions. Reconstructions were performed using SR-DLR, C-DLR, and HIR algorithms.

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Objective: To analyze the clinical symptom improvement and recurrence rate of chronic suppurative otitis media (CSOM) patients treated with a combination therapy regimen (combination of ofloxacin and dexamethasone).

Methods: Based on the treatment regimen, patients were divided into two groups: the control group was treated with dexamethasone, while the treatment group received a combination of ofloxacin and dexamethasone. The clinical symptom improvement, hearing evaluation, pathogen clearance rate, inflammatory marker detection, adverse reactions, recurrence rate and recurrence rate post-treatment were compared between the two groups.

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The electroreduction of CO under acidic conditions presents both scientific significance and technical challenges. Herein, we developed a post-synthetic modification strategy to anchor unexpected tetrahedral In(III) ions onto Zr-oxo clusters of a single-layer zirconium metal-organic framework (denoted as Zr-MOF-In). Operating under harsh acidic conditions (pH = 1.

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This systematic review and meta-analysis investigated the effectiveness of the two models of surgical robotics in performing colorectal surgery based on the difference in perioperative outcomes of the Da Vinci Si robotic system, the Da Vinci Xi robotic system, and the control group derived from a meta-analysis of controlled trials. The electronic databases of PubMed, EMBASE, Google Scholar, and the Web of Science were searched widely in order to identify a total number of randomized controlled trials (RCTs) as well as cohort studies on colorectal cancer procedures using the Da Vinci Si and Xi systems. Random effect analysis for data was done using Review Manager 5.

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Solid state electrolytes (SSEs) offer superior safety profiles, enhanced electrochemical stability, and expanded electrochemical windows compared with their liquid counterparts. Currently, the commercialization of SSEs is facing severe challenges. This review provides an overview of the latest research on SSEs for lithium batteries, with a focus on wide temperature range operation, optimized interface functionality, inhibition of active component loss, and novel modification strategies such as flame retardant, self-healing, intelligent responsive, and environmentally friendly electrolytes.

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Wetlands are important locations for the release of greenhouse gases, including carbon dioxide (CO), methane (CH), and nitrous oxide (NO). However, the specific mechanisms driving these emissions, particularly in semi-arid wetland ecosystems, remain unclear. This study examined the spatial variability of greenhouse gas fluxes across different hydrological gradients and explored the influence of soil physicochemical and microbiological properties on these emissions within the Ulansuhai Wetland in northern China.

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Introduction: Wilms tumor (WT) is the most common pediatric kidney cancer, which presents significant therapeutic challenges, particularly in high-risk cases, due to chemotherapy resistance and immunosuppressive tumor microenvironments (TMEs). Tumor stemness and immune evasion mechanisms are implicated in poor clinical outcomes, yet the molecular drivers underpinning these processes remain inadequately understood.

Methods: We employed an integrative approach combining single-cell RNA sequencing (scRNA-seq), spatial transcriptomics, bulk RNA-seq, and advanced machine learning techniques to uncover molecular regulators of tumor behavior in WT.

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Mechanical forces are crucial in regulating fibroblast behavior, yet the underlying mechanisms remain unclear. This study aims to elucidate the role of the Piezo1 ion channel in fibroblast responses to mechanical stimulation. A mechanical stimulation culture platform was developed using a polydimethylsiloxane (PDMS)-based stretchable membrane and the Cell Tank uniaxial cell stretching system.

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Purpose: This randomized, open-label, two-arm, parallel-group, single dose, multi-center phase I study (ClinicalTrials.gov ID, NCT05275010) investigated the comparability of the pharmacokinetics of a new formulation combining pertuzumab (P) and trastuzumab (H) in one fixed-dose combination for subcutaneous injection (FDC SC) using a proprietary on-body injector (OBI) or a handheld syringe with hypodermic needle in healthy male subjects.

Methods: Healthy male subjects were randomized 1:1 to either PH FDC SC using a handheld syringe (Arm 1) or an OBI device (Arm 2).

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Cyberbullying poses a significant threat to the mental health of adolescents; however, the effectiveness of longitudinal intervention programs and their influencing factors have not been systematically evaluated. This study, based on the General Aggression Model (GAM), employed a three-level meta-analysis to examine 33 longitudinal cyberbullying intervention programs (105 effect sizes, N = 20,050). The results indicated that current interventions targeting cyberbullying among adolescents (aged 10-19) had a significant yet small effect size (g = -0.

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Background: Autophagy, a vital cellular process, plays a significant role in the development of a spectrum of diseases, notably cancer. The objective of this study was to assess the prognostic significance and explore the possible roles of autophagy-related genes (ARGs) in lung adenocarcinoma (LUAD) and in 33 cancer types.

Methods: In this study, ARGs were sourced from the Human Autophagy Database (HADb), with gene expression data retrieved from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database.

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Helicobacter pylori (H. pylori) is the leading cause of infectious gastritis, and its resistance to antibiotics is becoming increasingly significant. Probiotics have been widely reported to have antagonistic effects on H.

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Metastasis is a major cause of cancer deaths, but the underlying molecular mechanisms remain largely unknown. Esophageal squamous cell carcinoma (ESCC) is a highly aggressive cancer with poor survival, yet the key kinases driving ESCC metastasis and their biological function have not been fully discovered. Here, a kinase-substrate map of metastatic ESCC is presented for the first time by conducting a phosphoproteomics analysis of 60 clinical specimens.

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