Publications by authors named "XiaoLei Zhu"

Objective: To explore the neuroprotective effect of Eugenol Acetate (EA) on post-stroke neuroinflammation and investigate the underlying mechanisms.

Methods: For in vitro experiments, primary microglia were pre-incubated with EA for 2 hours, followed by lipopolysaccharide (LPS) stimulation for 24 hours or Oxygen-Glucose Deprivation (OGD) treatment for 4 hours. Real-time quantitative PCR, enzyme-linked immunosorbent assay (ELISA) and Western blot were performed to examine the expression levels of inflammatory cytokines in primary microglia.

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Drug-target interactions (DTIs) are pivotal in drug discovery and development, and their accurate identification can significantly expedite the process. Numerous DTI prediction methods have emerged, yet many fail to fully harness the feature information of drugs and targets or address the issue of feature redundancy. We aim to refine DTI prediction accuracy by eliminating redundant features and capitalizing on the node topological structure to enhance feature extraction.

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Botrytis cinerea populations resistant to succinate dehydrogenase inhibitors (SDHIs) represent a major problem for the sustainable development of modern agriculture. In the present study, the resistance mechanism of B_P225F and B_H272R mutations in B. cinerea SDH (BcSDH) resistant to SDHIs fungicides, including boscalid (BOS), penflufen (PEN), pydiflumetofen (PYD), fluopyram (FLU), and benzovindiflupyr (BEN), was uncovered.

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Background And Objectives: Mitochondrial encephalomyopathy with lactic acidosis and stroke-like episodes (MELAS) syndrome is a maternally inherited mitochondrial disorder that mostly affects the central nervous system and skeletal muscle. This study provides a comprehensive summary of the clinical symptoms, multisystemic pathogenesis, and genetic characteristics of MELAS syndrome. The aim was to improve comprehension of clinical practice and gain a deeper understanding of the latest pathophysiological theories.

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The limitations of deep neural networks in continuous learning stem from oversimplifying the complexities of biological neural circuits, often neglecting the dynamic balance between memory stability and learning plasticity. In this study, artificial synaptic devices enhanced with graphene quantum dots (GQDs) that exhibit metaplasticity is introduced, a higher-order form of synaptic plasticity that facilitates the dynamic regulation of memory and learning processes similar to those observed in biological systems. The GQDs-assisted devices utilize interface-mediated modifications in asymmetric conductive pathways, replicating classical synaptic plasticity mechanisms.

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Article Synopsis
  • - The connection between MicroRNAs (miRNAs) and diseases is critical, but traditional laboratory methods for predicting these associations are often costly and slow; new Graph Neural Network-based methods (GNN-MDAs) improve this but still have significant limitations.
  • - This study presents DiGAMN, a new model that uses K-means disentangled biological similarity and incorporates memory capabilities to better capture complex relationships in miRNA-disease associations, outperforming existing methods in extensive tests.
  • - Results indicate that DiGAMN achieved impressive performance across multiple datasets with high AUC scores, confirmed its effectiveness through case studies, and highlighted its ability to identify new disease-related miRNAs.
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Cytochrome (complex III) represents a significant target for the discovery of both drugs and fungicides. Metyltetraprole (MET) is commonly classified as a quinone site inhibitor (QI) that combats the G143A mutated isolate, which confers high resistance to strobilurin fungicides such as pyraclostrobin (PYR). The binding mode and antiresistance mechanism of MET remain unclear.

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The irritation and adhesion of wound healing biomaterials to wet wounds should be addressed for achieving effective wound healing. In this study, a stable multifunctional hydrogels (BGs/HA suspension gels) were prepared using superfine powder of bioactive glasses (BGs), the biocompatible materials hyaluronic acid (HA) and carbomer940, which had good adhesion and low irritation properties for use in moist complex wounds. The average particle size of BGs/HA suspension gels was 13.

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Cucumber downy mildew (CDM), caused by , is a destructive disease that affects greenhouse cucumbers and causes significant losses for growers. Amisulbrom, a triazole sulfonamide fungicide targeting the Qi site in the complex, has shown potential in effectively combating CDM. However, its detailed binding mode with the target is unclear.

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CircRNAs are a type of circular non-coding RNA whose associations with drug sensitivities have been demonstrated in recent studies. Due to the high cost of biomedical experiments for detecting the associations between circRNAs and drug sensitivities, several computational methods have been developed. However, these methods were evaluated mainly based on 5- or tenfold cross-validation, which are often over-optimistic.

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Succinate dehydrogenase inhibitors (SDHIs) have become one of the most important classes of agrochemical fungicides. According to the data from FRAC, the resistance risk for SDHIs had reached up to medium and even to high. In general, the chemical structure of SDHIs mainly contained three fragments: an acid core, a hydrophobic tail, and an amide linker, corresponding to three modification directions for each fragment.

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Inflammatory bowel disease (IBD) encompasses chronic inflammatory conditions of the distal gastrointestinal tract, including Crohn's disease and ulcerative colitis. This chapter explores the potential of Dendritic cell-associated C-type lectin-1 (Dectin-1), a pattern recognition receptor, as a therapeutic target for IBD. We delve into the multifaceted roles of Dectin-1 in immune response modulation, focusing on its interactions with the gut microbiota and immune system.

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In the backdrop of China's 'Carbon peak, Carbon neutrality' goal, to reduce the pollution caused by carbon emissions to the atmosphere, this study investigates the supply of biomass briquette fuel. The supply of biomass briquette fuel is generally divided into two stages: the first stage involves the collection, storage, and transportation of biomass straw to the biomass briquette production base; the second encompasses the processing of the biomass straw into briquette fuel at the production base, followed by its transportation to the biomass boiler heating center for utilization. In this paper, a mathematical model is developed based on carbon emission and economic cost.

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Alzheimer's disease (AD) is the most common neurodegenerative disease leading to dementia in the elderly, and the mechanisms of AD have not been fully defined. Circular RNAs (circRNAs), covalently closed RNAs produced by reverse splicing, have critical effects in the pathogenesis of AD. CircRNAs participate in production and clearance of Aβ and tau, regulate neuroinflammation, synaptic plasticity and the process of apoptosis and autophagy, indicating that circRNAs may be alternative biomarkers and therapeutic targets.

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Article Synopsis
  • A new electrochemical method for hydrothiolation of α-trifluoromethylstyrenes using disulfides has been developed, requiring no metal catalysts and operating under mild conditions.
  • This technique efficiently produces β-trifluoromethylated thioethers in moderate to good yields with a wide range of functional groups tolerated.
  • The process is beneficial for late-stage drug modifications and large-scale synthesis, with its radical mechanism confirmed through experimental studies.
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  • The CRISPR/Cas12a system is effective for molecular diagnostics thanks to its precision in DNA recognition and cleavage, but previous regulation methods were complicated and costly.
  • Researchers introduced a novel method called FRAME, which uses flap endonuclease 1 (FEN1) to control the activity of Cas12a by regulating the PAM's accessibility in DNA.
  • The FRAME strategy not only enhances Cas12a's function but also allows for the detection of multiple targets using a single CRISPR RNA, showcasing its potential for improved medical diagnostics.
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The computational identification of nucleic acid-binding proteins (NABP) is of great significance for understanding the mechanisms of these biological activities and drug discovery. Although a bunch of sequence-based methods have been proposed to predict NABP and achieved promising performance, the structure information is often overlooked. On the other hand, the power of popular protein language models (pLM) has seldom been harnessed for predicting NABPs.

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MicroRNAs (miRNAs) are a key class of endogenous non-coding RNAs that play a pivotal role in regulating diseases. Accurately predicting the intricate relationships between miRNAs and diseases carries profound implications for disease diagnosis, treatment, and prevention. However, these prediction tasks are highly challenging due to the complexity of the underlying relationships.

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Synaptic dysfunction is a critical pathological feature in the early phase of Alzheimer's disease (AD) that precedes typical hallmarks of AD, including beta-amyloid (Aβ) plaques and neurofibrillary tangles. However, the underlying mechanism of synaptic dysfunction remains incompletely defined. Apolipoprotein E (APOE) has been shown to play a key role in the pathogenesis of AD, and the ε4 allele of APOE remains the strongest genetic risk factor for sporadic AD.

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Neuropeptides are the most ubiquitous neurotransmitters in the immune system, regulating various biological processes. Neuropeptides play a significant role for the discovery of new drugs and targets for nervous system disorders. Traditional experimental methods for identifying neuropeptides are time-consuming and costly.

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The melt pools, the most basic units of the components fabricated by the selective laser melting (SLM) technology, play an important role in the mechanical properties of the structures. A self-developed in-situ tensile observation platform was used to carry out the in-situ tensile test of SLMed AlSi10Mg alloy specimens under the observation of optical microscope. With a series of obtained experimental data on mechanical properties and metallurgical images, combined with the digital image correlation(DIC) technology, the melt pool of the specimen and the strain of defects were analyzed, and the deformation and fracture mechanism of the SLMed AlSi10Mg alloy specimens was obtained.

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Protein-based detection methods, enzyme-linked immunosorbent assays (ELISAs) and lateral flow strips, have been widely used for rapid, specific, and sensitive detection of genetically modified organisms (GMOs). However, the traditional ELISA method for the quantitative detection of GMOs has certain limitations. Herein, a quantum dot (QD)-based fluorescence-linked immunosorbent assay was developed using QDs as fluorescent markers for the detection of glyphosate-resistant protein (CP4-EPSPS) in the MON89788 soybean.

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Article Synopsis
  • The research focused on understanding how certain lymph nodes (subcarinal, right and left recurrent laryngeal) are affected by metastasis in patients with thoracic esophageal squamous cell carcinoma, and exploring effective methods for lymph node dissection.
  • A total of 503 patients who underwent esophagectomy were analyzed, revealing that the metastasis rates for the lymph nodes were around 10% each, with factors like lymphovascular invasion and tumor location being significant predictors for metastasis.
  • Postoperative complications were most commonly pulmonary infections, but there were no significant differences in typical complications like anastomotic leakage or hoarseness between patients who had lymph node dissection and those who did not.
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Profiling gene expression while preserving cell locations aids in the comprehensive understanding of cell fates in multicellular organisms. However, simple and flexible isolation of microregions of interest (mROIs) for spatial transcriptomics is still challenging. We present a laser-induced forward transfer (LIFT)-based method combined with a full-length mRNA-sequencing protocol (LIFT-seq) for profiling region-specific tissues.

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