Publications by authors named "Qiang Tong"

Background: Impaired lung function has been noted in individuals with spondyloarthritis (SpA). However, a comprehensive summary of the existing evidence related to these conditions is still lacking.

Objective: The aim of the study is to explore the association between impaired lung function and the prevalence and incidence of SpA, utilizing data from the UK Biobank.

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Objective: Growing evidence supports the efficacy and safety of fecal microbiota transplantation (FMT) in treating Parkinson's disease (PD). Fecal microbiota are commonly transplanted via oral capsules, a nasojejunal tube, or colonoscopy, but freezing often decreases the diversity and viability of transplanted microbiota. This single-center, double-blind, randomized, placebo-controlled trial aims to explore the efficacy and safety of fresh FMT via colonoscopy in dealing with PD.

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Osteoarthritis (OA) is a common degenerative joint disease characterized by articular cartilage degeneration, joint inflammation, and bone hyperplasia. Clonal hematopoiesis of indeterminate potential (CHIP) refers to the presence of cancer-related variants in blood cells of individuals without malignancies. However, it is unclear whether the proinflammatory state induced by CHIP affects the onset of OA.

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Background: Type 2 diabetes (T2D) is associated with an increased risk of hepatocellular carcinoma (HCC). Research on the hepatoprotective effects of antidiabetic agents is ongoing. This study aimed to investigate the correlation between novel antidiabetic agents and HCC incidence in T2D patients through a network meta-analysis.

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Cross-view geo-localization (CVGL) presents significant challenges due to the drastic variations in perspective and scene layout between unmanned aerial vehicle (UAV) and satellite images. Existing methods have made certain advancements in extracting local features from images. However, they exhibit limitations in modeling the interactions among local features and fall short in aligning cross-view representations accurately.

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In non-towered terminal airspace, the lack of real-time air traffic control makes accurate trajectory prediction a critical task for aviation safety. To address the challenges of trajectory prediction caused by frequent altitude changes in this airspace, we propose ACTrajNet, an altitude-aware trajectory prediction model. The model independently extracts altitude features using temporal convolutional networks(TCN), it then incorporates a channel attention fusion mechanism to dynamically fuse altitude features into the trajectory representation across different channels.

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Phosphorus-carbon composites show promise as high-performance lithium-ion battery anodes but present inherent challenges related to uneven hybridization, poor electrochemical interfaces, and flammability during repeated alloying/dealloying. Here, we propose a countermeasure of hierarchical phosphor-carbon (h-PC) microarchitectures to overcome the aforementioned obstacles. The micromesopores, highly hybridized composites, and enhanced conductivity facilitate accelerated lithium-ion kinetics and robust properties of h-PC, featuring a high-rate capacity of 1040 mAh g @ 10 A g and persistent stability for 1000 cycles of 5 A g.

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High internal phase Pickering emulsions (HIPPEs) are valued for their exceptional stability and versatility in delivering food bioactives. Here, we developed fucoxanthin (Fx)-loaded HIPPEs using ultrasonically engineered probiotic particles as the sole stabilizer and investigated their stabilization mechanism and functional characteristics. Ultrasonic power levels from 0 to 600 W were screened; at the optimal 450 W, the probiotic particles exhibited the lowest surface charge (-30.

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Food 3D printing technology holds significant potential for personalized nutrition and the customization of 3D structures with specific shapes and textures. This emerging technology is driving significant innovations in food processing and manufacturing. This article reviews the current research and development opportunities in food 3D printing, with a focus on various types of 3D food printing technologies.

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The present study aimed to investigate the expression of ATP1B2 in esophageal squamous cell carcinoma (ESCC) and its biological effects. A total of 44 patients with ESCC who underwent surgical resection at Taihe Hospital between December 1, 2017 and December 1, 2018 were enrolled. The expression levels of ATP1B2 in cancerous and adjacent normal tissues were assessed.

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Importance/background: Multisystem Inflammatory Syndrome in Children (MIS-C) has sparked the creation of diverse treatment guidelines by healthcare organizations globally. The initial management strategies for MIS-C differ among these guidelines. In developed nations, intravenous immunoglobulin (IVIG) is frequently advised as the first-line treatment.

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Objectives: Interleukin (IL)-17A is a key driver of spondyloarthritis (SpA) joint pathology. We aimed to identify its cellular source in synovial tissue from patients with 2 forms of SpA, namely axial SpA (AxSpA) and psoriatic arthritis (PsA).

Methods: Synovial tissue from patients with SpA was profiled using single-cell RNA sequencing (scRNA-seq; AxSpA, n = 5; PsA, n = 6) or spatial RNA profiling (PsA, n = 4).

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Background: The increasing prevalence of cardiovascular mortality is becoming a significant worry for individuals who have survived cancer. The aim of this study is to investigate the dynamic trend of cardiovascular death in patients with gastric cancer (GC) and identify the risk factors associated with cardiovascular disease (CVD)-specific mortality in non-metastatic GC patients.

Methods: In the present study, 29,324 eligible patients diagnosed with primary GC were collected from the Surveillance, Epidemiology, and End Results (SEER) database.

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Background: The purpose of this research is to evaluate the predictive capabilities of a radiomics model for the Ki67 index and its correlation with prognosis in advanced gastric tubular adenocarcinoma patients.

Methods: Clinical data from 213 patients were analyzed, categorizing patients into high and low Ki67 index groups. The radiomic features of 192 patients were selected by lasso method and the model was constructed, which was validated using the TCIA dataset.

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Background: Sepsis is a life-threatening condition often associated with metabolic and acid-base imbalances. Alactic base excess (ABE) has emerged as a novel biomarker to assess metabolic disturbances in critically ill sepsis patients, but its prognostic value remains underexplored. We aimed to investigate the relationship between ABE and 30-day/90-day ICU all-cause mortality in a large sepsis cohort in the intensive care unit (ICU) setting.

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Nanomotors hold tremendous potential for drug delivery. However, current nanomotors face limitations that compromise efficiency of drug utilization, including the use of inorganic materials with suboptimal soft interface and biocompatibility, uncontrollable drug release, insufficient directional control, and slow movement speeds. Herein, we present a novel near-infrared (NIR) light-driven porous unsymmetric nanomotor with ultrafast motion, which utilizes hydrogen sulfide (HS)-responsive cationic organic π-electron structure-based electrochromic material (F1) for the payload and controlled release of anionic anticancer drugs, enabling synergistic cancer chemotherapy and immunotherapy.

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Purpose: This study aimed to investigate the risk of dermatomyositis among patients with psoriasis in a large population.

Patients And Methods: Individuals aged ≥20 years with records in the TriNetX database from January 1, 2002 to December 31, 2022 were included. Diagnoses of psoriasis, non-psoriasis, dermatomyositis, and associated comorbidities were established using the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) code.

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This study investigates the micro-pore-throat structure of Upper Paleozoic tight sandstone gas reservoirs in the southeastern Ordos Basin, China, with a focus on the Yan'an gas field. The aim is to analyze the micro-pore-throat characteristics and their influence on fluid seepage to optimize gas-water two-phase flow, reservoir evaluation, and development strategies. The research integrates core analysis, thin section petrography, FE-SEM, MICP, NMR, and gas-water relative permeability tests.

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Objective: Osteoarthritis (OA) is a widespread degenerative joint disease that causes a considerable socioeconomic burden. Despite progress in genetic and environmental insights, early diagnosis is still limited by the lack of evident symptoms during the initial phases and accurate biomarkers. This study aims to identify plasma proteins associated with future risk of OA and develop a predictive model.

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Hydrogen sulfide (HS) and matrix metallopeptidase 2 (MMP-2) are inextricably linked in the occurrence and development of diseases and the treatment of diseases. However, most of the activatable imaging probes currently developed are single-locked probes that do not simultaneously detect HS and MMP-2 levels at disease sites and severely hinder the real-time and accurate analysis of the dynamic relationship between the two interrelated biomarkers. Herein, we report a dual-locked HS/MMP-2-activatable near-infrared (NIR) fluorescent imaging probe through a dual-Förster resonance energy transfer (FRET) mechanism that specifically detects tumors or acute lung injury (ALI) and establishes the dynamic relationship between the HS level and MMP-2 expression.

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Peritoneal metastasis following gastric cancer surgery is often associated with a poor prognosis. This study aimed to investigate the mechanisms underlying peritoneal metastasis and to develop a predictive model for the risk of postoperative peritoneal metastases in gastric cancer. We performed a comprehensive analysis of the protein mass spectra and tumor microenvironment in paraffin-embedded primary tumor sections from gastric cancer patients, both with and without postoperative peritoneal metastases.

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Background: Although chronic inflammatory arthropathies (CIA) are associated with sarcopenia, sarcopenia plays a role in their pathogenesis remains unknown. This study investigated the causal relationship between sarcopenia and CIA and to identify potential mediating factors.

Methods: We examined data from 458 910 participants in the UK Biobank to analyze the association between sarcopenia-related traits and CIA.

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