Publications by authors named "Yurong Zheng"

Background: Several clinical neuroimaging studies have reported structural and functional brain abnormalities associated with peripheral inflammatory cytokines or kynurenine pathway metabolites in patients with depression. However, it is not clear whether the abnormal findings are changes that are intrinsic to depression or whether they are caused by confounding factors such as age, illness duration, or medication.

Methods: To exclude confounding factors, we used chronic unpredictable mild stress (CUMS) rat model and magnetic resonance T1/T2 mapping to investigate the microstructural characteristics of the prefrontal cortex (PFC), hippocampus and corpus callosum and further explored the association between peripheral blood depression-related indicators and microstructural characteristics.

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Dual-carbon policies were implemented by Chinese government to mitigate climate warming; however, changes in aerosol optical depth (AOD) during early phases of these actions (2020-2022) remain unclear. Thus, AOD variations during this period were investigated compared to the baseline (2015-2019 mean) across seven urban agglomerations (UAs) using multi-source data. Significant temporal variations in AOD anomalies (ΔAOD) were observed at annual and seasonal scales, with varying magnitudes.

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Background: Postoperative delirium (POD) is a frequent complication observed in patients following spinal surgeries. The incidence of POD is particularly concerning for major procedures like lumbar spinal fusion, leading to a range of detrimental outcomes. However, existing research on the prevalence and risk factors associated with POD after lumbar spinal fusion is limited, especially when relying on data from large-scale national databases.

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Background: Meta-epidemiological research plays a vital role in providing empirical evidence needed to develop methodological manuals and tools, but the reporting quality has not been comprehensively assessed, and the influence of reporting guidelines remains unclear. The current study aims to evaluate the reporting quality of meta-epidemiological studies, assess the impact of reporting guidelines, and identify factors influencing reporting quality.

Methods: We searched PubMed and Embase for meta-epidemiological studies.

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Article Synopsis
  • The study investigates zoster-associated pain (ZAP) and its relationship with psychiatric conditions like anxiety and depression, focusing on the neural mechanisms involved.
  • Researchers used resting-state functional MRI data from three groups: ZAP patients without psychiatric disorders, those with anxiety or depression, and healthy controls to analyze brain network differences using degree centrality (DC).
  • Results showed distinct changes in brain regions, particularly in the left middle frontal gyrus and precentral gyrus, indicating that these abnormalities might be crucial for understanding ZAP, especially in patients with psychiatric comorbidities.
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Purpose: To identify the most effective combination of DCE-MRI (K,K) and IVIM (D,f) and analyze the correlations of these parameters with prognostic indicators (ER, PR, and HER2, Ki-67 index, axillary lymph node (ALN) and tumor size) to improve the diagnostic and prognostic efficiency in breast cancer.

Methods: This is a prospective study. We performed T1WI, T2WI, IVIM, DCE-MRI at 3 T MRI examinations on benign and malignant breast lesions that met the inclusion criteria.

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Introduction: Alcoholic liver disease (ALD) encompasses a spectrum of liver conditions, including liver steatosis, alcoholic hepatitis (AH), fibrosis, cirrhosis, and hepatocellular carcinoma (HCC). microRNAs (miRNAs) have garnered significant interest as potential biomarkers for ALD.

Methods: We searched PubMed, Embase, Web of Science and Cochrane Central Register of Controlled Trials (CENTRAL) systemically from inception to June 2024.

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Purpose: This study aimed to develop and validate a new model that focused on the risk of imminent vertebral fractures in women with osteoporosis.

Methods: Data from 2,048 patients were extracted from three hospitals, of which 1,720 patients passed the inclusion and exclusion screen. The patients from Nanfang Hospital (NFH) were randomized at a 2:1 ratio to create a training cohort (n = 709) and an internal validation cohort (n = 355), with the patients from the other two hospitals (n = 656) used for external validation.

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Anthropogenic activities exhibit intricate and significant relationships with atmospheric CO concentration. Dissecting the spatiotemporal patterns and potential drivers of their coupling coordination relationships from geospatial and temporal perspectives contributes to the benign coordinating development between the two. The coupling coordination degree (D) and types, and their potential influencing factors in China were explored using a coupling coordination model, emerging hotspot analysis, and Multiscale Geographically Weighted Regression model.

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Article Synopsis
  • A study aimed to create a reliable model for diagnosing internet gaming disorder (IGD) using MRI data from 133 IGD patients and 110 healthy controls.
  • Researchers extracted radiomic features from brain structures and tested various feature selection methods and classification algorithms to distinguish IGD patients from healthy individuals.
  • A nomogram was developed combining radiomic data and clinical factors, showing strong performance metrics (AUCs up to 0.961) and suggesting it could effectively aid in the early detection of IGD.
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A comprehensive understanding of the terrestrial carbon sink is essential for proficient regional carbon management. However, previous studies predominantly relied on net ecosystem productivity (NEP) as an indicator of regional carbon sink, overlooking the impacts of carbon emissions from physical processes and carbon leakage associated with anthropogenic activities. In this study, net region productivity (NRP), a vital metric representing carbon sink dynamics in regional multi-landscape ecosystems, was employed to systematically analyze the patterns, trends, and causes of carbon sink in Ordos.

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Article Synopsis
  • The study highlights the liver's vulnerability to damage and emphasizes the importance of mapping metabolic changes in liver injuries for accurate diagnosis and treatment.
  • Researchers used advanced spatial metabolomics techniques on zebrafish to analyze liver injuries caused by different substances (ethanol, acetaminophen, thioacetamide), revealing significant metabolic shifts in the affected liver regions.
  • Findings showed distinct metabolic alterations in fatty acids and phospholipids between alcoholic liver disease and non-alcoholic fatty liver disease, suggesting potential biomarkers and reinforcing spatial metabolomics as a valuable tool for understanding various metabolic disorders.
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Osteoporosis results from overactivation of osteoclasts. There are currently few drug options for treatment of this disease. Since the successful development of allosteric inhibitors, phosphatases have become attractive therapeutic targets.

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The metabolic cross-talk between tumor and immune cells plays key roles in immune cell function and immune checkpoint blockade therapy. However, the characterization of tumor immunometabolism and its spatiotemporal alterations during immune response in a complex tumor microenvironment is challenging. Here, a 3D tumor-immune cell coculture spheroid model was developed to mimic tumor-immune interactions, combined with mass spectrometry imaging-based spatially resolved metabolomics to visualize tumor immunometabolic alterations during immune response.

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To investigate the value of MRI texture analysis in evaluating the effect of gestational diabetes mellitus (GDM) on neonatal brain microstructure development, we retrospectively collected images of neonates undergoing head MRI scans, including a GDM group (N1 = 37) and a healthy control group (N2 = 34). MaZda texture analysis software was used to extract the texture features from different sequence images and perform dimensionality reduction, and then the texture features selected by the lowest misjudgement rate method were imported into SPSS software for statistical analysis. In our study, we found that GDM affects the development of the microstructure of the neonatal brain, and different combinations of texture features have different recognition performances, such as different sequences and different brain regions.

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Objective: Myocardial extracellular volume (ECV) fraction is an important imaging biomarker in clinical decision-making. CT-ECV is a potential alternative to MRI for ECV quantification. We conducted a meta-analysis to comprehensively assess the reliability of CT for ECV quantification with MRI as a reference.

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Diabetes mellitus can be accompanied by a variety of complications. The purpose of the present study was to characterize the Rictor/mTOR complex 2 (mTORC2)/Akt/glucose transporter 4 (GLUT4) pathway and its effects on energy metabolism in the gastric smooth muscle of diabetic rats. Diabetes was induced in rats using streptozotocin and their phenotype was compared with untreated rats.

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Aim: This review aimed to synthesize the available evidence on the effectiveness of nurse-led multidisciplinary interventions in primary health care.

Methods: The following Chinese and English databases were searched for relevant articles: PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure (CNKI), Wanfang and Chinese Biomedical Literature Database (CBM), from the establishment of the databases until the last updating search 1 April 2022. Two researchers screened the studies independently and extracted the data.

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Objective: To quantify placebo effects and responses in randomized controlled trials (RCTs) on neck pain and explore how they would influence the treatment of neck pain.

Data Sources: We searched MEDLINE (PubMed), EMBASE (Ovid), CINAHL (EBSCO), Physiotherapy Evidence Database (PEDro), and World Health Organization International Clinical Trials Registry Platform from the inception of August 15, 2021, to identify relevant RCTs.

Study Selection And Data Extraction: The abstracts and full texts of potential studies were independently screened, and data extraction was also independently performed by 2 researchers.

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Article Synopsis
  • * A review of 22 neuroimaging studies showed that KYN pathway imbalances were associated with abnormalities in key brain areas, including the anterior cingulate and orbitofrontal cortices, as well as subcortical regions like the striatum and amygdala.
  • * The findings suggest that disruptions in the KYN pathway may be significant mechanisms behind the brain abnormalities seen in MDD, highlighting the need for future studies to clarify these relationships.
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College English teachers' job burnout has become prominent in the field of education. Using China National Knowledge Infrastructure (CNKI) database, this review research on burnout of college English language teachers in China from 2006 to 2021. The review demonstrates key research areas including teacher burnout severity and influencing variables related to teacher burnout.

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The simultaneous quantitative investigation of aerosol ground observation data and particle concentration data is important for a better understanding of the vertical distribution characteristics of air pollution and formulating reasonable air pollution control measures in Chang'an, Xi'an. CE-318 measurements from October 2018 to April 2021 were systematically analyzed to reveal the seasonal and yearly variations in atmospheric aerosols in Chang'an. Then, the relationship between AOD and particle concentration in different seasons and different pollution degrees was explored.

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Background: Previous retrospective studies showed that the incidence and mortality rates for MM in China were lower than those in western countries. A large-scale prospective study on incidence and mortality rates of MM is still lacking.

Methods: Based on the prospective Kailuan Cohort study in China, we included all patients with MM in Kailuan Cohort from June 1, 2008 to December 31, 2016.

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Cancer cells within breast tumors exist within a hierarchy in which only a small and rare subset of cells is able to regenerate growths with the heterogeneity of the original tumor. These highly malignant cancer cells, which behave like stem cells for new cancers and are called "cancer stem cells" or CSCs, have also been shown to possess increased resistance to therapeutics, and represent the root cause underlying therapy failures, persistence of residual disease, and relapse. As >90% of cancer deaths are due to refractory tumors, identification of critical molecular drivers of the CSC-state would reveal vulnerabilities that can be leveraged in designing therapeutics that eradicate advanced disease and improve patient survival outcomes.

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The development of triple-negative breast cancer (TNBC) is critically regulated by certain tumor-microenvironment-associated cells called mesenchymal stem/stromal cells (MSCs), which we and others have shown promote TNBC progression by activating pro-malignant signaling in neighboring cancer cells. Characterization of these cascades would better our understanding of TNBC biology and bring about therapeutics that eliminate the morbidity and mortality associated with advanced disease. Here, we focused on the emerging class of RNAs called long non-coding RNAs or lncRNAs and utilized a MSC-supported TNBC progression model to identify specific family members of functional relevance to TNBC pathogenesis.

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