Publications by authors named "Linjie Chen"

Osteoarthritis (OA) progression is characterized by decreased cartilage stiffness and degradation of the extracellular matrix (ECM), which significantly influence cartilage behavior and fate. In contrast, processes such as chondrocyte calcification and aging often result in increased stiffness. Despite extensive studies on how ECM stiffness regulates cellular functions, the impact of substrate stiffness on the cartilage microenvironment and intercellular communications remains not well understood.

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  • Metal stable isotopes are gaining popularity in fields such as planetary science and medical research, which necessitates efficient analysis methods for small and valuable samples.
  • The study presents a new, highly efficient method called microultrasonic single-droplet nebulization (MUSDN) that significantly improves sensitivity for analyzing lithium (Li) and copper (Cu) isotopes compared to traditional techniques.
  • MUSDN requires considerably less sample (1-2 ng) and is faster than conventional methods, showing excellent precision and accuracy validated against various standards and real serum samples, making it beneficial for isotope research with limited samples.
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  • - The study investigates the role of miR-500a-3p in hepatocellular carcinoma (HCC), emphasizing its connection to liver fibrosis and cirrhosis, and how these factors influence tumor progression.
  • - Researchers analyzed clinical data and conducted experiments showing that miR-500a-3p levels are elevated in HCC and cirrhosis tissues, correlating with worse survival rates due to its effect on immune response and HCC-related cell behavior.
  • - The mechanism of action involves miR-500a-3p being delivered via exosomes, affecting the JAK3/STAT5 pathway through SOCS2, which ultimately enhances HCC growth and invasiveness.
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  • Intervertebral disc degeneration (IVDD) is a major cause of low back pain, with disc cells playing a vital role in maintaining the disc's structure and function while also participating in important physiological processes.
  • Oxidative stress can damage mitochondria within these cells, leading to inflammation, DNA damage, and accelerated disc degeneration.
  • The review discusses the relationship between oxidative stress, mitochondrial dysfunction, and IVDD, suggesting targeted therapies such as antioxidants to address these issues and improve treatment outcomes.
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  • Clostridioides difficile infection (CDI) is a major cause of intestinal infections, and its specific impact on the enteric nervous system (ENS) has not been thoroughly studied.
  • Using a variant of the toxin from hypervirulent C. difficile, researchers discovered that TcdB2 induces harmful effects on enteric neurons in both lab settings and adult mice.
  • The study found that TcdB2 treatment led to increased levels of key neurotransmitter-related proteins in colonic neurons before cell damage occurred, indicating that CDI not only causes neuron loss but also alters neurotransmitter composition in the ENS.
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  • The study highlights the limitations of existing nanocatalysts in wound healing due to low reactive oxygen species (ROS) generation, presenting a new nanocomposite (M/C/AEK) made of molybdenum disulfide decorated with calcium peroxide.
  • This nanocomposite enhances wound treatment by producing hydroxyl radicals in response to the acidic environment of wounds, selectively targeting infected areas while minimizing damage to healthy tissue.
  • The M/C/AEK hydrogel not only captures bacteria effectively but also promotes healing through its Ca ions and keratin, showcasing its potential for advanced wound care and infection control.
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Background: Many studies have reported correlations between diet-derived antioxidants and asthma. Nevertheless, the probable association between diet-derived antioxidants and asthma remains a matter of discussion.

Objectives: We explored the association between Diet-Derived Antioxidants and Asthma.

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Introduction: Literature suggests that patients from deprived backgrounds are less likely to adhere to their treatments, continue to expose themselves to risk factors and, as a result, have poorer health outcomes. It is therefore crucial to identify these vulnerable populations early on, in order to provide them with tailored and reinforced care. The primary aim of this research is to construct and validate a systematic screening tool for identifying patients at highest risk of social vulnerability due to deprivation, through the use of psychometric techniques.

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  • The study focused on the sequencing and characterization of the interferon-stimulated gene 15 (BsISG15) in the fish species Bostrychus sinensis, revealing its structure and function as a protein with potential immune roles.
  • It was found that BsISG15 is constitutively expressed across various organs, with the highest expression in peripheral blood, and its levels significantly change in response to viral and bacterial infections.
  • The research also indicated that BsISG15 enhances immune responses by promoting reactive oxygen species production and proinflammatory cytokine expression in macrophages, while suggesting that it negatively regulates inflammation during immune responses.
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Stable anchoring of dispersed metal atoms through either surface adsorption or lattice substitution on support surfaces is a prerequisite for highly efficient catalytic performance. Atomic-level insights into these processes are necessary to understand the metal-support interactions. Here, we identify multiple Fe single-atom configurations on the rutile-TiO(110) surface using scanning tunneling microscopy (STM) and density functional theory (DFT).

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Mitochondria, pivotal organelles crucial for energy generation, apoptosis regulation, and cellular metabolism, have spurred remarkable advancements in targeted material development. This review surveys recent breakthroughs in targeted mitochondrial nanomaterials, illuminating their potential in drug delivery, disease management, and biomedical imaging. This review approaches from various application perspectives, introducing the specific applications of mitochondria-targeted materials in cancer treatment, probes and imaging, and diseases treated with mitochondria as a therapeutic target.

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Proteins, as the primary executors of physiological activity, serve as a key factor in disease diagnosis and treatment. Research into their structures, functions, and interactions is essential to better understand disease mechanisms and potential therapies. DeepMind's AlphaFold2, a deep-learning protein structure prediction model, has proven to be remarkably accurate, and it is widely employed in various aspects of diagnostic research, such as the study of disease biomarkers, microorganism pathogenicity, antigen-antibody structures, and missense mutations.

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Intervertebral disc degeneration (IVDD) is a chronic degenerative disease involving the aging and loss of proliferative capacity of nucleus pulposus cells (NPCs), processes heavily dependent on mitochondrial dynamics and autophagic flux. This study finds that the absence of BCL2/adenovirus E1B 19 kDa interacting protein 3 (BNIP3) is associated with senescence-related NPC degeneration, disrupting mitochondrial quality control. Bone marrow mesenchymal stem cells (BMSCs) have multidirectional differentiation potential and produce extracellular vesicles containing cellular activators.

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  • Lindera aggregata (Sims) Kosterm is a traditional herb known for its antioxidant, anti-inflammatory, and immunomodulatory effects, with norboldine (Nor) being a key active component that may help treat Alzheimer's disease (AD).
  • The study investigates how Nor affects cognitive impairment and pathological changes in 3×Tg mice by focusing on memory tests and examining its impact on AD-related pathology through various experimental methods.
  • Results show that Nor improves learning and memory in mice, reduces Alzheimer's pathology, and protects against neuronal cell death, potentially by activating the AMPK/GSK3β/Nrf2 signaling pathway.
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Feeding behavior, the most fundamental physiological activity, is controlled by two opposing groups of factors, orexigenic and anorexigenic factors. The sulfakinin family, an insect analogue of the mammalian satiety factor cholecystokinin (CCK), has been shown to suppress food intake in various insects. Nevertheless, the mechanisms through which sulfakinin regulates feeding behavior remain a biological question.

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Protein structure prediction is an important research field in life sciences and medicine, and it is also a key application scenario of artificial intelligence in scientific research. AlphaFold2 is a protein structure prediction system developed by DeepMind based on deep learning, capable of efficiently generating the atomic-scale spatial structure of a protein from the amino acid sequence. It has demonstrated superior performance in the prediction of protein structures since its inception, thus attracting much attention and research.

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Electroencephalogram (EEG) analysis plays an indispensable role across contemporary medical applications, which encompasses diagnosis, monitoring, drug discovery, and therapeutic assessment. This work puts forth an end-to-end deep learning framework that is uniquely tailored for versatile EEG analysis tasks by directly operating on raw waveform inputs. It aims to address the challenges of manual feature engineering and the neglect of spatial interrelationships in existing methodologies.

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Phenylalanine ammonia-lyase (PAL) is an essential enzyme in the phenylpropanoid pathway, in which numerous aromatic intermediate metabolites play significant roles in plant growth, adaptation, and disease resistance. Cultivated peanuts are highly susceptible to L. infection.

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Respiratory infectious viruses, including SARS-CoV-2, undergo rapid genetic evolution, resulting in diverse subtypes with complex mutations. Detecting and differentiating these subtypes pose significant challenges in respiratory virus surveillance. To address these challenges, we integrated ARMS-PCR with molecular beacon probes, allowing selective amplification and discrimination of subtypes based on adjacent mutation sites.

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  • Intervertebral disc degeneration (IVDD) disrupts the health of nucleus pulposus cells due to faulty mitochondria, leading to the breakdown of necessary structural components.
  • Researchers developed a new treatment using nanoparticles (PGA-Mn-TP04) that target mitochondria, improve their function, and prevent damage from reactive oxygen species through a specialized design involving gallic acid and manganese.
  • In tests on rats, these nanoparticles successfully maintained disc height and hydration, offering a promising non-surgical solution for IVDD and related muscle disorders linked to mitochondrial issues.
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Hepatocellular carcinoma (HCC) is a prevalent type of liver cancer, and CD24 gene is reportedly involved in HCC progression. However, the precise regulatory mechanisms of CD24 in HCC remain unclear. In this study, we established a primary HCC mouse model and observed that CD24, induced by inactivation of the Hippo pathway, was highly expressed in HCC.

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Osteoarthritis (OA) is a chronic inflammatory joint disease characterized by progressive cartilage degeneration, synovitis, and osteoid formation. In order to effectively treat OA, it is important to block the harmful feedback caused by reactive oxygen species (ROS) produced during joint wear. To address this challenge, we have developed injectable nanocomposite hydrogels composed of polygallate-Mn (PGA-Mn) nanoparticles, oxidized sodium alginate, and gelatin.

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To investigate the mechanism of aquatic pathogens in quorum sensing (QS) and decode the signal transmission of aquatic Gram-negative pathogens, this paper proposes a novel method for the intelligent matching identification of eight quorum signaling molecules (N-acyl-homoserine lactones, AHLs) with similar molecular structures, using terahertz (THz) spectroscopy combined with molecular dynamics simulation and spectral similarity calculation. The THz fingerprint absorption spectral peaks of the eight AHLs were identified, attributed, and resolved using the density functional theory (DFT) for molecular dynamics simulation. To reduce the computational complexity of matching recognition, spectra with high peak matching values with the target were preliminarily selected, based on the peak position features of AHL samples.

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