Publications by authors named "Neng Wang"

Cor pulmonale, a condition marked by right ventricular dysfunction, is frequently associated with chronic obstructive pulmonary disease (COPD) and significantly worsens COPD prognosis. Despite the clinical relevance of cor pulmonale, development of effective treatments is hindered by the lack of animal models that accurately replicate the complex interplay between cor pulmonale and COPD. This study introduces a novel rat model combining cigarette smoke exposure with left pulmonary artery ligation to better mimic the pathophysiological features of COPD-related cor pulmonale.

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Background: This study investigated the clinical efficacy and prognostic factors of ablative treatment in hepatocellular carcinoma (HCC) patients with and without diabetes mellitus (DM).

Methods: Retrospective data were collected from HCC patients who underwent ablation between January 2016 and December 2019. The baseline clinicopathological characteristics and long-term outcomes, such as overall survival (OS) and recurrence-free survival (RFS), were compared between those with and without DM.

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This study aims to develop a machine learning model applied on digital mammograms to reduce unnecessary invasive biopsies for suspicious calcifications classified as BI-RADS category 4. This study retrospectively analyzed data from 372 female patients with pathologically confirmed BI-RADS category 4 mammographic calcifications. Patients from the First Affiliated Hospital of Bengbu Medical College (n = 275) were divided chronologically into a training and internal validation set.

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Introduction And Objectives: This study aimed to explore the key genes involved in the pathophysiological process of liver fibrosis and develop a novel predictive model for noninvasive assessment of significant liver fibrosis patients.

Patients And Methods: Differentially expressed genes (DEGs) were identified using the Limma package. The hub genes were explored using the CytoHubba plugin app and validated in GEO datasets and cell models.

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We realized fourth-order exceptional points (EP-4s) in the quasienergy bands of anisotropic photonic time-Floquet crystals (APTCs), where the full in-plane permittivity tensors are periodically modulated in time. We developed the Floquet matrix method for APTCs, which provides a comprehensive study of the generation and characteristics of EP-4s. It is shown that an EP-4 is formed by the coalescence of three second-order exceptional points (EP-2s), which are classified into two types based on the band slopes near them.

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In the past two decades, genome-wide association studies (GWAS) have pinpointed numerous SNPs linked to human diseases and traits, yet many of these SNPs are in non-coding regions and hard to interpret. Transcriptome-wide association studies (TWAS) integrate GWAS and expression reference panels to identify the associations at gene level with tissue specificity, potentially improving the interpretability. However, the list of individual genes identified from univariate TWAS contains little unifying biological theme, leaving the underlying mechanisms largely elusive.

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In this study, risk factors for coronary slow flow (CSF) patients were examined, and a clinical prediction model was created. This study involved 573 patients who underwent coronary angiography at our hospital because of chest pain from January 2020 to April 2022. They were divided into CSF group (249 cases) and noncoronary slow flow (NCF) group (324 cases) according to the coronary blood flow results.

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Article Synopsis
  • The study aimed to evaluate how well a deep learning model using multiparametric MRI can predict tumor deposits in rectal cancer patients and their prognostic implications.
  • A total of 529 rectal cancer patients from two surgical centers were analyzed, with data divided into training, internal validation, and external validation sets.
  • The results indicated a strong predictive capability of the combined clinical and deep learning models, with the nomogram performing best in predicting outcomes, as shown by the AUC values and survival analysis.
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Article Synopsis
  • - The study investigates how tumor-associated macrophages (TAMs) and their secretion of CXCL1 contribute to autophagy-mediated chemoresistance in breast cancer, which leads to poor treatment outcomes.
  • - It was discovered that blocking CXCL1 increases the sensitivity of breast cancer cells to chemotherapy by inhibiting autophagy, primarily through a mechanism involving IGF1R and its signaling pathways.
  • - The findings link CXCL1 with enhanced autophagy and identify a novel signaling pathway (IGF1R/STAT3/HMGB1) that plays a significant role in cancer progression and patient prognosis, emphasizing the importance of targeting CXCL1 for better treatment strategies.
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Background: Triple-negative breast cancer (TNBC) is challenged by the low chemotherapy response and poor prognosis. Emerging evidence suggests that cytotoxic chemotherapy may lead to the pro-metastatic tumor microenvironment (TME) by eliciting pro-tumor extracellular vesicles (EVs) from cancer cells. However, the precise mechanisms and therapeutic approaches remain inadequately understood.

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A bimetallic steel bar (BSB) consisting of stainless-steel cladding and carbon steel substrate exhibits excellent corrosion resistance and good mechanical properties. The bimetallic structure of BSBs may affect their low-cycle fatigue performance, and current investigations on the above issue are limited. In this study, the low-cycle fatigue properties of bimetallic steel bars (BSBs) with inelastic buckling were investigated.

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Optical tractor beams capable of pulling particles backward have garnered significant and increasing interest. Traditional optical tractor beams are limited to free space beams with small forward wavevectors, enabling them to pull selected particles. Here, we present a comprehensive theory for the optical force exerted by a surface wave using analytical and numerical calculations, revealing the relationship between the canonical momentum and optical forces.

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Triple-negative breast cancer (TNBC) is the most aggressive breast cancer subtype and chemotherapy is the cornerstone treatment for TNBC. Regrettably, emerging findings suggest that chemotherapy facilitates pro-metastatic changes in the tumour microenvironment. Extracellular vesicles (EVs) have been highly implicated in cancer drug resistance and metastasis.

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The inhibition of autophagy is a potential therapeutic strategy to improve the chemosensitivity of triple-negative breast cancer (TNBC). In this study, we demonstrated that a natural terpenoid tanshinone I (TAN) enhanced the effectiveness of paclitaxel (PTX), at least in part, through an autophagy-dependent mechanism against TNBC. In vitro validation demonstrated that the combined therapy resulted in a synergistic decrease in the growth of TNBC cells.

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Background: Endothelial barrier dysfunction is critical for the pathogenesis of sepsis-induced acute lung injury (ALI). Lipopolysaccharide (LPS)-stimulated human pulmonary microvascular endothelial cells (HPMECs) are widely used as the cell model of sepsis-associated ALI for exploration of endothelial barrier dysfunction. Dickkopf (DKK) family proteins were reported to mediate endothelial functions in various diseases.

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Prostate cancer (PCa) is the second most common malignancy among men globally. The Fu-Zheng-Yi-Liu (FZYL) Formula has been widely utilized in the treatment of PCa. This study investigates whether the FZYL Formula can inhibit PCa by targeting the TAMs/CCL5 pathway.

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Background: Triple-negative breast cancer (TNBC) is the most aggressive malignancy. Psychological distress and elevated CXCL1 level have been reported to be closely associated with the poor prognosis and quality of life of patients with TNBC. In preclinical studies using xenograft mouse models, XIAOPI formula, a nationally approved drug prescribed to patients at high risk for breast cancer, inhibited CXCL1 expression and improved survival.

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Bioinspired skeleton transformation of a tricyclic lathyrane-type diterpene was conducted to efficiently construct a tetracyclic tigliane diterpene on a gram scale via a key aldol condensation. The tigliane diterpene was then respectively converted into naturally rare ingenane and rhamnofolane diterpenes through a semipinacol rearrangement and a visible-light-promoted regioselective cyclopropane ring-opening reaction. This work provides a concise strategy for high-efficiency access to diverse polycyclic diterpene skeletons from abundant lathyrane-type natural products and paves the way for biological activity investigation of naturally rare molecules.

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Temporal modulations provide a new approach for realizing metamaterials. In this study, through the imposition of uniform temporal modulations, we achieve two types of reciprocal bi-anisotropic metamaterials. Notably, these achievements do not rely on any spatial modulation, preserving inversion symmetry at any instantaneous time.

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Background: Triple-negative breast cancer (TNBC) is the most aggressive subtype of breast cancer, and chemotherapy still serves as the cornerstone treatment functioning by inducing cytotoxic cell death. Notably, emerging evidence suggests that dying cell-released signals may induce cancer progression and metastasis by modulating the surrounding microenvironment. However, the underlying molecular mechanisms and targeting strategies are yet to be explored.

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Endocrine therapy is standard for hormone receptor-positive (HR) breast cancer treatment. However, current strategies targeting estrogen signaling pay little attention to estradiol metabolism in the liver and is usually challenged by treatment failure. In a previous study, we demonstrated that the natural compound naringenin (NAR) inhibited HR breast cancer growth by activating estrogen sulfotransferase (EST) expression in the liver.

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Many patients who underwent hepatic percutaneous microwave ablation (MWA) reported experiencing pain during the procedure. This study utilized a well-designed multicentral, randomized, and placebo-controlled format to investigate the effects of Butorphanol. Patients who underwent MWA were randomly assigned to either Butorphanol or normal saline group.

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Purpose: To explore the value of deep learning-based multi-parametric magnetic resonance imaging (mp-MRI) nomogram in predicting the Ki-67 expression in rectal cancer.

Methods: The data of 491 patients with rectal cancer from two centers were retrospectively analyzed and divided into training, internal validation, and external validation sets. They were categorized into high- and low-expression group based on postoperative pathological Ki-67 expression.

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