Publications by authors named "Yongxin Li"

Human gut microbiota produces unmodified bacteriocins, natural antimicrobial peptides that protect against pathogens and regulate host physiology. However, current bioinformatic tools limit the comprehensive investigation of bacteriocins' biosynthesis, obstructing research into their biological functions. Here, we introduce IIBacFinder, a superior analysis pipeline for identifying unmodified class II bacteriocins.

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The WRKY transcription factor family, one of the largest gene families in plants, plays crucial roles in regulating growth, stress responses, and environmental adaptation. However, the specific functions and regulatory mechanisms of genes in (honeysuckle) under drought and salt stress remain poorly characterized. In this study we identified 41 genes from the genome.

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Background: Non-Valvular Atrial fibrillation (NVAF) and atrial flutter are significant contributors to left atrial appendage thrombus (LAAT) formation. This study explores the potential of machine learning (ML) models integrating transthoracic echocardiography (TTE) and clinical data for non-invasive LAAT detection and risk assessment.

Methods: A total of 698 patients with NVAF was recruited from Luoyang Central Hospital between January 2021 and May 2024, including 558 patients for retrospective analysis and 140 for prospective validation.

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Background: Adding immunotherapy to chemotherapy can modestly improve the pathological complete response (pCR) rate in triple-negative breast cancer (TNBC), while our previous NeoSAC study demonstrated that combining anti-angiogenic therapy can further enhance pCR. However, research on the mechanisms underlying the efficacy differences and biomarker comparisons across these treatment regimens remains insufficient.

Patients And Methods: Female TNBC patients were consecutively enrolled into three groups: chemotherapy (chemo), chemo-immunotherapy (chemo-ICI), and chemo-immunotherapy-anti-angiogenesis (chemo-ICI-AA, from our NeoSAC study, NCT04722718).

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Background: Previous studies indicated that inclusive leadership is related to a series of positive working outcomes, but the internal acting mechanism remains unclear. This study used a three-month longitudinal design to investigate the acting mechanism of inclusive leadership on individual job performance by introducing leader-member exchange and organizational identification as mediators.

Methods: The data were collected through self-reported questionnaires and a leader-rated survey of 206 employees of a car battery manufacturer in central China.

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The impacts of polygonatum polysaccharide (PP) on the hydrocolloid behavior and quality of fermented frozen dough were studied. Adding 0.2 %, 0.

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A fluorescent nanozyme Bop-Cu with multienzyme-like activities was synthesized. In the presence of four synthetic antioxidants (propyl gallate, tert-butyl hydroquinone, butyl hydroxyanisole, and butylated hydroxytoluene), Bop-Cu exhibited differential responses in its two catalytic activities and fluorescent properties. Thus, we constructed a multi-signal sensor array and utilized algorithms such as random forest (RF) to achieve 99.

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The Ordos Basin is a typical craton basin. Underpressure exists in the tight sandstone reservoirs of the Chang 7 member of the Upper Triassic Yanchang Formation in the Yishan slope of the basin. However, overpressure was verified in these reservoirs during the Early Cretaceous period, and the evolution process from overpressure to underpressure is still unclear.

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Tea polyphenols are polyphenolic substances rich in catechol structures, therefore the nanozymes with enhanced catechol oxidase-like activity should be more suitable for the enhanced sensing of tea polyphenol, compared to other nanozymes with polyphenol oxidase-like activity. In this work, we prepared the nanozyme DBA-Cu with boronic acid structure with the enhanced ability for the sensing of tea polyphenols. It was found that the boric acid structure on the nanozyme was the key to enhance its catechol binding ability and catalytic rate.

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This study aims to develop a prognostic model for breast cancer in young women (BCY) by integrating clinical and genomic data. We analyzed clinical data from SEER and identified key prognostic genes using METABRIC and TCGA datasets. Machine learning (LASSO and XGBoost) was used for gene selection, and a survival prediction model was built.

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Purpose: We developed a loop-mediated isothermal amplification (LAMP) multi-platform detection system that overcomes the limitations of traditional polymerase chain reaction (PCR) in timeliness and equipment dependency, establishing a rapid, accurate diagnostic framework for Human adenovirus types 3 and 7 (HAdV-3 and HAdV-7) across resource-varied clinical settings.

Methods: LAMP primers were designed based on the conserved regions of the Hexon genes of HAdV-3 and HAdV-7. The calcein, immunochromatography (IC), and fluorescence probe methods were used.

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This study investigates the effects of on-tree storage (OTS) on the quality and flavor of Satsuma 'Youliang' compared with cold storage (COS). Fruit quality was assessed based on sugar-acid ratio and juice flavor profiles. Comparative analysis revealed a progressive decline in soluble sugar content under COS, while OTS effectively preserved sugars, resulting in a higher sugar-acid ratio than COS-treated fruits.

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Effective wound closure facilitates optimal tissue healing, and sutures are one of the predominant medical textiles utilized for wound closure. Chitosan, a biopolymer derived from chitin, possesses distinctive hemostatic properties, antimicrobial and anti-inflammatory activity, biocompatibility, and biodegradability, making it a prevalent choice for wound closure applications. This review provides a comprehensive summary of the current state of chitosan's application in medical sutures, focusing on recent advancements in the fabrication of chitosan-based sutures through various techniques, including wet spinning, melt spinning, electrospinning, interfacial polyelectrolyte complexes, and coating processes.

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Silicosis is characterized by the formation of fibrotic lesions due to altered collagen synthesis, in which amino acids play a crucial role. However, targeted metabolomics studies of serum amino acids in silicosis patients remain limited. Herein, we developed a specific serum amino acid metabolomics assay for identifying differential amino acids as biomarkers, providing a sensitive and reliable basis for diagnosing silicosis.

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Genome mining is a computational method that automatically identifies and annotates biosynthetic gene clusters (BGCs) from genomic data, making it a valuable resource for discovering natural products (NPs) due to the wealth of sequencing data available. While different genome mining tools exhibit some similarities, each possesses unique strengths and operates in distinct manners. However, finding new ribosomally synthesized and post-translationally modified peptides (RiPPs), one of the largest yet primarily underexplored NP families in bacteria, remains challenging, primarily because many available mining tools are based on logic with inherent biases towards known RiPP families.

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Objective: To develop a multi-modality machine learning-based radiomics model utilizing Magnetic Resonance Imaging (MRI), Ultrasound (US), and Mammography (MMG) for the differentiation of benign and malignant breast nodules.

Methods: This study retrospectively collected data from 204 patients across three hospitals, including MRI, US, and MMG imaging data along with confirmed pathological diagnoses. Lesions on 2D US, 2D MMG, and 3D MRI images were selected to outline the areas of interest, which were then automatically expanded outward by 3 mm, 5 mm, and 8 mm to extract radiomic features within and around the tumor.

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Prospective memory (PM) is future-oriented memory that requires planning ahead, maintaining intention, recognizing cues, and responding correctly in time. PM tasks are susceptible to personality traits such as impulsivity. Barratt holds that impulsivity can be divided into three dimensions: non-planning impulsiveness, attentional impulsiveness, and motor impulsiveness.

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This study introduces an innovative double emulsion (DE) system for the co-delivery of water-soluble 5-methyltetrahydrofolate calcium (5-MTHF-Ca) and lipid-soluble vitamin D (VD), addressing the challenge of synchronized delivery for nutrients with divergent solubility. Through a two-step emulsification strategy, co-loaded DEs (C-5-MTHF-Ca & VD) exhibited superior colloidal stability compared to single-loaded counterparts (S-5-MTHF-Ca and S-VD), retaining 88.17 ± 2.

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Laccase-like nanozymes, as a significant category of nanozymes, have garnered considerable research attention. Studies primarily focused on the exploration of new nanozymes with laccase-like activity. However, in recent years, the diversity of small-molecule ligands (biological and abiotic) and the rapid advancement of pollutant sensing technologies have contributed to the growing interest in integrating laccase-like nanozymes into various novel analytical applications.

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Microbes use signaling molecules to regulate multiple physiological processes and mediate chemical interactions. Decoding these chemical languages is instrumental in comprehending microbial regulatory mechanisms within complex microbiota. Here, we discover previously unidentified autoinducing peptides (AIPs) derived from the plant probiotic bacterium , identified as Pp-AIPs.

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The nitrogen-nitrogen (N-N) bond motif comprises an important class of compounds for drug discovery. Synthetic methods are primarily based on the modification of N-N or NN precursors, whereas selective methods for direct N-N coupling offer advantages in terms of atom economy and yield. In this context, enzymes such as piperazate synthases (PZSs), which naturally catalyze the N-N cyclization of l- -hydroxyornithine to the cyclic hydrazine l-piperazate, may allow an expansion of the current narrow range of chemical approaches for N-N coupling.

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Idiopathic pulmonary fibrosis (IPF) is a devastating interstitial lung disease characterized by the excessive accumulation of activated myofibroblasts that deposit extracellular matrix (ECM) protein, leading to progressive scar formation and mechanical stress. However, the cellular origin and fate of myofibroblasts remain controversial, and the mechanisms by which myofibroblasts sense mechanical cues in the lung are unclear. Here, we report that periostin (Postn) is a reliable and distinctive marker for pulmonary myofibroblasts, while ablation of Postn+ myofibroblasts after injury ameliorated lung fibrosis.

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Background: Otosclerosis causes progressive hearing loss, with stapes surgery being the most effective treatment. However, the influence of age on postoperative outcomes remains debated.

Objective: To evaluate the impact of age on hearing outcomes following stapes surgery.

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The growing demand for sustainable food additives has spurred interest in pectin extracted from agricultural byproducts. This study investigated the structural, gelling, and antimicrobial properties of pectin extracted from sweetpotato residue (SPP) using a green hydrothermal method. Optimal extraction conditions (122.

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