Publications by authors named "Li Zhixin"

Background: This study aims to elucidate the expression pattern of SERPINE1, assess its prognostic significance, and explore potential therapeutic drugs targeting this molecule.

Methods And Results: In this study, we delved into the variations in gene mutation, methylation patterns, and expression levels of SERPINE1 in head and neck squamous cell carcinoma (HNSCC) and normal tissues, leveraging comprehensive analyses of The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets. The connection between the biological function of the gene and prognosis was scrutinized through immune infiltration and enrichment analyses.

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Objectives: This study introduces a novel classification approach that combines convolutional neural network (CNN) and Raman mapping to differentiate between tongue squamous cell carcinoma (TSCC) and non-tumorous tissue, as well as to identify different histological grades of TSCC.

Materials And Methods: In this study, 240 Raman mappings data from 30 tissue samples were collected from 15 patients who had undergone surgical resection for TSCC. A total of 18,000 sub-mappings extracted from Raman mappings were then used to train and test a CNN model, which extracted feature representations that were subsequently processed through a fully connected network to perform classification tasks based on the Raman mapping data.

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Trichinella spiralis (T. spiralis) is a highly pathogenic zoonotic nematode that poses significant public health risks and causes substantial economic losses. Understanding its invasion mechanisms is crucial.

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Background: Lung cancer has high morbidity and mortality rates, which results in a poor prognosis. Cuproptosis is a novel cell death mechanism. The aim of this study was to examine the biological characteristics and clinical significance of genes associated with cuproptosis in lung adenocarcinoma (LUAD), and to understand the molecular mechanisms underlying the occurrence and progression of LUAD.

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The H9N2 subtype of avian influenza viruses (AIVs) is widely prevalent in poultry and wild birds globally, with occasional transmission to humans. In comparison to other H9N2 lineages, the BJ/94 lineage has raised more public health concerns; however, its evolutionary dynamics and transmission patterns remain poorly understood. In this study, we demonstrate that over three decades (1994-2023), BJ/94 lineage has undergone substantial expansion in its geographical distribution, interspecies transmission, and viral reassortment with other AIV subtypes, increasing associated public health risks.

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Herein, a novel dual-function paper-based biosensor using diffusion wet area as readout has been developed for simple and sensitive detection of hyaluronidase (HAase) and human papillomavirus (HPV) 16 DNA, respectively. The target-regulated-water absorption hydrogel synthesized by hyaluronic acid (HA) and single-stranded DNA (ssDNA) is chosen as an ideal material for diffusion wet area generation on paper. The hydrogel can be degraded through the enzymolysis of HA by HAase or the trans-cleavage of ssDNA by HPV DNA-activated CRISPR/cas12a system.

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Dysregulated epigenetic programs that restrict differentiation, reactivate fetal genes, and confer phenotypic plasticity are critical to colorectal cancer (CRC) development. By screening a small molecule library targeting epigenetic regulators using our dual reporter system, we found that inhibiting histone deacetylase (HDAC) 1/2 promotes CRC differentiation and anti-tumor activity. Comprehensive biochemical, chemical, and genetic experiments revealed that on-target blockade of the HDAC1/2 catalytic domain mediated the differentiated phenotype.

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CRISPR/Cas12a-based biosensors have garnered significant attention in the field of point-of-care testing (POCT), yet the majority of the CRISPR-based POCT methods employ fluorescent systems as report probes. Herein, we report a new CRISPR/Cas12a-enabled multicolor visual biosensing strategy for the rapid detection of disease biomarkers. The proposed assay provided vivid color responses to enhance the accuracy of visual detection.

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Lower efficiency of agricultural inputs in the four conventional rice planting methods limits productivity and environmental benefits in Southwest China. Thus, we developed a machine-learning-based decision-making system for achieving optimal comprehensive benefits during rice production. Based on conventional benefits for achieving optimal benefits, implemented strategies in these planting methods: reducing N fertilizer by 16% while increasing seed inputs by 9% in mechanical transplanting (MT) method improved yield and environmental benefits; reducing N fertilizer and seed inputs by 10-12% in mechanical direct seeding (MD) method decreased environmental impacts; increasing N-K fertilizers and seed inputs by 15-33% in manual transplanting (MAT) method improved its comprehensive benefits by 7-14%; applying N-P-K fertilizer ratio of 2:1:2 in manual direct seeding (MAD) method enhanced yield.

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Ischemia brain injury is closely associated with the gut microbiota. Polysaccharides, as a typical prebiotic, have been extensively employed in stroke treatment. In our previous study, Pueraria lobata polysaccharide (PLP-3) with antioxidant activity was prepared via water extraction and alcohol precipitation combined with ultrasonic degradation.

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Background: Sepsis-induced organ failure and high mortality are largely ascribed to the failure of bacterial clearance from the infected tissues. Recently, probiotic bacteria-released extracellular vesicles (BEVs) have been implicated as critical mediators of intercellular communication which are widely involved in the regulation of the inflammatory response. However, their functional role in macrophage phagocytosis during sepsis has never been explored.

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Background: Head and neck squamous cell carcinoma poses a formidable treatment challenge owing to its complex anatomy and essential functions of the organs involved. Neoadjuvant immunotherapies, particularly PD-1 inhibitors, have shown promise in improving patient outcomes. Nevertheless, the ability to accurately predict which patients will benefit from neoadjuvant immunotherapy continues to be a significant hurdle.

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Background: Patients with partial anomalous pulmonary venous connection (PAPVC) usually present asymptomatic and accompanied by intricate anatomical types, which results in missed diagnosis from atrial septal defect (ASD). The present study aimed to explore the predictive variables of PAPVC from patients with ASD and constructed an explainable prediction model based on deep learning.

Methods: The retrospective study included 834 inpatients with ASD in Women and Children's Hospital, Qingdao University from January 2018 to January 2023.

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Article Synopsis
  • Researchers created a framework to segment and model lenticulostriate arteries using advanced MRI techniques, specifically targeting patients with CADASIL and comparing them to healthy controls.
  • The framework involves a small-patch convolutional neural network for accurate segmentation, supported by a random forest model for further analysis, with performance evaluated against manual segmentation methods.
  • Results showed that the framework achieved high accuracy in artery measurements, demonstrating better reliability than manual methods, suggesting it could be beneficial for diagnosing and studying CADASIL.
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Background: There are limited data concerning pneumonectomy after preoperative induction therapy. Our study aimed to evaluate feasibility and safety of pneumonectomy after neoadjuvant immunotherapy in patients with non-small cell lung cancer by assessing postoperative outcomes.

Methods: A total of 1187 patients who underwent pneumonectomy for non-small cell lung cancer were retrospectively analyzed from 3 hospitals in China.

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Purpose: An accurate assessment of the surgical margins of tongue squamous cell carcinoma (TSCC), especially the deep muscle tissue, can help completely remove the cancer cells and thus minimize the risk of recurrence. This study aimed to develop a classification model that classifies TSCC and normal tissues in order to aid in the rapid and accurate intraoperative assessment of TSCC surgical deep muscle tissue margins.

Materials And Methods: The study obtained 240 Raman spectra from 60 sections (30 TSCC and 30 normal) from 15 patients diagnosed with TSCC.

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Nitric oxide (NO) produced by endothelial nitric oxide synthase (eNOS) in the vessel wall regulates blood pressure and cardiovascular hemodynamics. In this study, we generated conditional eNOS knock out (KO) mice characterized by a duplicated/inverted exon 2 flanked with two pairs of loxP regions (eNOS); a Cre-recombinase activity induces cell-specific reactivation of eNOS, as a result of a flipping of the inverted exon 2 (eNOS). This work aimed to test the efficiency of the Cre-mediated cell-specific recombination and the resulting eNOS expression/function.

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Recently, the emerging chemotherapy (CDT) has provided a new biocompatibility pathway for cancer therapy. Among them, Cu-based nanocatalysts with good biocompatibility and Fenton-like catalytic efficiency are considered to be a promising approach for enhancing CDT and CDT-involved multimodal synergies to improve the effectiveness of catalytic cancer therapy. Meanwhile, the emerging therapy strategy promoted by Cu-based nanocatalysts has proven to exhibit attractive clinical application potential in replacing traditional chemotherapy and radiotherapy for cancer therapy with significant toxic side effects.

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Arginase catalyzes the hydrolysis of L-arginine into L-ornithine and urea. The two existing isoforms Arg1 and Arg2 show different cellular localizations and metabolic functions. Arginase activity is crucial for nitrogen detoxification in the urea cycle, synthesis of polyamines, and control of l-arginine bioavailability and nitric oxide production.

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For current image caption tasks used to encode region features and grid features Transformer-based encoders have become commonplace, because of their multi-head self-attention mechanism, the encoder can better capture the relationship between different regions in the image and contextual information. However, stacking Transformer blocks necessitates quadratic computation through self-attention to visual features, not only resulting in the computation of numerous redundant features but also significantly increasing computational overhead. This paper presents a novel Distilled Cross-Combination Transformer (DCCT) network.

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Polyoxometalates (POMs) are a class of anionic metal-oxygen clusters with versatile biological activities. Over the past decade, an increasing number of POMs, especially Sb-rich POMs, have been proven to exert antitumor activity. However, the antitumor effects and mechanisms of POMs in the treatment of non-small cell lung cancer (NSCLC) remain largely unexplored.

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Esophageal adenocarcinoma (EAC) is a highly lethal cancer of the upper gastrointestinal tract with rising incidence in western populations. To decipher EAC disease progression and therapeutic response, we performed multiomic analyses of a cohort of primary and metastatic EAC tumors, incorporating single-nuclei transcriptomic and chromatin accessibility sequencing, along with spatial profiling. We identified tumor microenvironmental features previously described to associate with therapy response.

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Article Synopsis
  • The study investigated competitive interactions between two species of endoparasitoids, Yang and Yang, which target the fall webworm during its pupal stage.
  • The researchers measured extrinsic competition through search time and oviposition behaviors, while intrinsic competition was assessed by evaluating survival, gender ratios, and emergence rates from hosts.
  • Findings showed that both parasitoids can coexist on the same host, but the order of their release significantly impacted their competitive success and parasitic efficiency.
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Chalkiness is an important grain quality trait in rice. , encoding a vacuolar H-translocating pyrophosphatase, is a major gene affecting both the percentage of grains with chalkiness (PGWC) and chalkiness degree (DEC) in rice. Reducing its expression can decrease both PGEC and DEC.

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Co-infection with porcine reproductive and respiratory syndrome virus (PRRSV) and (HPS) has severely restricted the healthy development of pig breeding. Exploring disease resistance of non-coding RNAs in pigs co-infected with PRRSV and HPS is therefore critical to complement and elucidate the molecular mechanisms of disease resistance in Kele piglets and to innovate the use of local pig germplasm resources in China. RNA-seq of lungs from Kele piglets with single-infection of PRRSV or HPS and co-infection of both pathogens was performed.

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