Publications by authors named "Yirong Chen"

Background: A postoperative surgical site infection (SSI) is a prevalent complication after loop ileostomy closure. There are few studies on the risk factors and the development of predictive models for postoperative SSIs. The aim of this study was to develop and validate a nomogram model capable of accurately predicting the occurrence of postoperative SSIs.

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Background: Adolescent pulmonary tuberculosis (TB) is considered inadequately recognized and underreported at high altitudes. This study aimed to investigate the clinical features of adolescent pulmonary TB patients at high altitudes in China.

Method: A retrospective analysis was performed at Linzhi People's Hospital.

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Natural killer (NK) cells are pivotal in immunotherapy due to their potent tumor-targeting capabilities. However, accessible in vitro 3D dynamic models for evaluating Tumor Infiltrating Natural Killer Cells (TINKs) remain scarce. This study addresses this gap by developing a novel pump-free microfluidic chip to investigate the interactions between NK-92 cells and prostate DU 145 tumor spheroids.

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Malignant transformation of cancer is often accompanied by aberrant glycopatterns. Epithelial-mesenchymal transition (EMT) is a crucial biological process in cancer migration and invasion, accelerating cancer deterioration. High-precision analysis of protein-glycan spatial profiling in the EMT process is essential for elucidating glycosylation functions and cancer progression.

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Article Synopsis
  • Catalytic DNA circuits are useful for detecting harmful bacteria, but they have limitations in speed and effectiveness, prompting the development of EACHA, which enhances reaction rates and sensitivity.
  • EACHA improves detection capabilities significantly, achieving about 37.6 times faster rates and allowing detection of S. enterica Enteritidis at very low concentrations (15 CFU/mL) in just 20 minutes.
  • The method has shown high accuracy in testing milk samples (AUC of 0.997) and diagnosing early infections in mice, proving its potential for identifying pathogens in complex environments.
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Tumor-associated macrophages (TAMs) take on pivotal and complex roles in the tumor microenvironment (TME); however, their heterogeneity in the TME remains incompletely understood. ETS proto-oncogene 1 (ETS1) is a transcription factor that is mainly expressed in lymphocytes. However, its expression and immunoregulatory role in colorectal cancer (CRC)-associated macrophages remain unclear.

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Introduction: This study aimed to explore the effect of perceived entrepreneurial environment among Chinese college students' entrepreneurial intention and its underlying mechanism.

Methods: Based on a survey of 445 college students from 5 universities with the perceived entrepreneurial environment assessment scale, the achievement motivation scale, the entrepreneurial self-efficacy scale, and the entrepreneurial intention questionnaire.

Results: There were significant correlations among perceived entrepreneurial environment, achievement motivation, entrepreneurial self-efficacy, and entrepreneurial intention, and perceived entrepreneurial environment could significantly positively predict entrepreneurial intention.

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Renal cell carcinoma (RCC) is a malignant tumor originating from the epithelial cells of the renal tubules. The clear cell RCC subtype is closely linked to a poor prognosis due to its rapid progression. Circular RNA (circRNA) is a novel class of regulatory RNA molecules that play a role in the development of ccRCC, although their functions have not been fully elucidated.

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The pro-tumorigenic or anti-tumorigenic role of tumor infiltrating mast cells (TIMs) in tumors depends not only on the type of cancer and the degree of tumor progression, but also on their location in the tumor bulk. In our investigation, we employed immunohistochemistry to reveal that the mast cells (MCs) in the tumor stroma are positively correlated with metastasis of ovarian cancer (OC), but not in the tumor parenchyma. To delve deeper into the influence of different culture matrix stiffness on MCs' biological functions within the tumor parenchymal and stromal regions, we conducted a transcriptome analysis of the mouse MC line (P815) cultured in two-dimensional (2D) or three-dimensional (3D) culture system.

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DUSP22, an atypical dual-specificity phosphatase enzyme, plays a significant role in regulating multiple kinase signaling pathways by dephosphorylation. Our study demonstrated that decreased DUSP22 expression is associated with shorter disease-free survival, advanced TNM (tumor, lymph nodes, and metastasis), cancer stage, and higher tumor grade in lung adenocarcinoma (LUAD) patients. Exogenous DUSP22 expression reduces the colony-forming capacity of lung cancer cells and inhibits xenograft tumor growth primarily by targeting EGFR and suppressing its activity through dephosphorylation.

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Article Synopsis
  • Chronic obstructive pulmonary disease (COPD) leads to excessive mucus production in the airways, negatively impacting patients' quality of life and life expectancy.
  • The study found that the enzyme USP7 is significantly increased in the airways of COPD patients and contributes to mucus hypersecretion by activating the NF-κB signaling pathway.
  • Inhibiting USP7 reduces the activity of NF-κB and consequently decreases mucus production, suggesting that targeting USP7 could be a novel approach for treating mucus-related issues in COPD.
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Due to the colloidal stability, the high compressibility and the high hydration of extracellular polymeric substances (EPS), it is difficult to efficiently dehydrate sludge. In order to enhance sludge dewatering, the process of ultrasonic (US) cracking, chitosan (CTS) re-flocculation and sludge-based biochar (SBB) skeleton adsorption of water-holding substances to regulate sludge dewaterability was proposed. Based on the response surface method, the prediction model of the specific resistance to filtration (SRF) and sludge cake moisture content (MC) was established.

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Deep stromal invasion is an important pathological factor associated with the treatments and prognosis of cervical cancer patients. Accurate determination of deep stromal invasion before radical hysterectomy (RH) is of great value for early clinical treatment decision-making and improving the prognosis of these patients. Machine learning is gradually applied in the construction of clinical models to improve the accuracy of clinical diagnosis or prediction, but whether machine learning can improve the preoperative diagnosis accuracy of deep stromal invasion in patients with cervical cancer was still unclear.

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Identification and characterization of circulating tumor cells (CTCs) from blood samples of patients with cancer can help monitor parameters such as disease stage, disease progression and therapeutic efficiency. However, the sensitivity and specificity of current multivalent approaches used for CTC capture is limited by the lack of control over the ligands' position. In this Protocol Update, we describe DNA-tetrahedral frameworks anchored with aptamers that can be configured with user-defined spatial arrangements and stoichiometries.

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Previous studies have demonstrated that adipocytes promote prostate cancer (PCa) cell progression, which facilitates the development of PCa into castration-resistant prostate cancer (CRPC); however, the underlying mechanisms are still not fully understood. Matrix metalloproteinases (MMPs) are a group of proteases responsible for the degradation of extracellular matrix (ECM) and the activation of latent factors. In our study, we detected that MMP11 expression was increased in PCa patients and that a high level of MMP11 was correlated with poor prognosis.

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Bortezomib (BTZ), a selective proteasome inhibitor, exhibits a significant efficacy in the therapy of multiple myeloma (MM) partly through triggering endoplasmic reticulum (ER) stress-dependent apoptosis. However, sensitivity to BTZ varies greatly among patients. ER stress functions as a double-edged sword in regulating cell survival depending on cell context and ER stress extent.

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Purpose: Symptoms of attention-deficit/hyperactivity disorder (ADHD) often overlap with and are hidden by those of mood disorders, including major depressive disorder (MDD), resulting in adult ADHD patients being misdiagnosed as MDD. This study aims to examine if diagnosed MDD patients are more likely to exhibit ADHD traits and if the presence of ADHD traits increases the humanistic burden, including the impairment of health-related quality of life (HRQoL), work productivity and activity impairment (WPAI), and health-care resource utilization (HRU), on MDD patients in Japan.

Methods: This study utilized existing National Health and Wellness Survey (NHWS) data.

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Sensitive and specific analysis of extracellular vesicles (EVs) offers a promising minimally invasive way to identify malignant pulmonary nodules from benign lesions. However, accurate analysis of EVs is subject to free target proteins in blood samples, which compromises the clinical diagnosis value of EVs. Here a DNA-guided extracellular-vesicle metallization (DEVM) strategy is described for ultrasensitive and specific analysis of EV protein biomarkers and classification of pulmonary nodules.

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How to achieve delicate regulation of enzyme activity and empower it with more roles is the peak in the field of enzyme catalysis research. Traditional proteases or novel nano-enzymes are unable to achieve stimulus-responsive activity modulation due to their own structural limitations. Here, we propose a novel Controllable Enzyme Activity Switch, CEAS, based on hemin aggregation regulation, to deeply explore its regulatory mechanism and develop multimodal biosensing applications.

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The digital economy and ecological environment are two major issues related to high-quality economic development. Scholars have not yet reached a unified conclusion about the link between the digital economy and pollution emissions, and the impact mechanism of the former on the latter needs further study. Using data from 278 Chinese cities from 2010 to 2019, this research employs coupling coordination analysis, fixed effect analysis and mediation analysis to examine the heterogeneous impact mechanisms of the expansion of the digital economy on urban pollution reduction from many angles.

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Objective: To evaluate the effect of non-invasive brain stimulation (NIBS) in improving limb motor dysfunction and daily living activity during at the phase of acute stroke.

Materials And Methods: Randomized controlled trials about the effect of NIBS on hemiparesis in acute stroke were retrieved from databases of China National Knowledge Infrastructure (CNKI), China Science and Technology Journal Database (VIP), Wanfang Data, CBM, PubMed, Embase, Cochrane Library, and Web of Science from inception until January 3rd 2022. The quality of the trials was assessed, and the data were extracted according to the Cochrane Handbook for Systematic Reviews of Interventions.

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Rationale And Objectives: The novel International Association for the Study of Lung Cancer (IASLC) grading system of invasive lung adenocarcinoma (ADC) demonstrated a remarkable prognostic effect and enabled numerous patients to benefit from adjuvant chemotherapy. We sought to build a CT-based nomogram for preoperative prediction of the IASLC grading.

Materials And Methods: This work retrospectively analyzed the CT images and clinical data of 303 patients with pathologically confirmed invasive ADC.

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Objectives: This study aims to examine the association between migraine and various psychiatric and somatic comorbidities in Japan.

Design: Cross-sectional study using existing data of the 2017 Japan National Health and Wellness Survey (NHWS).

Setting: Nationally representative sample of persons (in terms of age and gender) living in the general community aged 18 years or older in Japan.

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Article Synopsis
  • The text discusses the importance of monitoring intracellular enzymes for accurate cancer diagnosis and drug therapy, as their levels are linked to disease progression.* -
  • A new AND-gate DNA nanoprobe strategy has been developed to simultaneously and sensitively detect two enzymes (telomerase and apurinic/apyrimidinic endonuclease 1) related to cancer, avoiding interference and improving fluorescent signal output.* -
  • This innovative approach allows for better cancer cell targeting and monitoring of enzymatic activity changes during chemotherapy, holding potential for advancements in disease diagnosis and treatment methods.*
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