Publications by authors named "Zilin Li"

Heart failure with preserved ejection fraction (HFpEF) is a major subtype of heart failure, primarily characterized by a normal or mildly reduced left ventricular ejection fraction along with left ventricular diastolic dysfunction. Recent studies have shown that the prevalence of HFpEF is higher in women than that in men, particularly in postmenopausal women. Concurrently, it has been observed that the incidence of risk factors contributing to HFpEF (such as obesity, hypertension, diabetes, and atrial fibrillation) also notably increases post-menopause, affecting the incidence of HFpEF.

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Biological age is an important measure of aging that reflects an individual's physical health and is linked to various diseases. Current prediction models are still limited in precision, and the risk factors for accelerated aging remain underexplored. Therefore, we aimed to develop a precise biological age and assess the impact of socio-demographic and behavioral patterns on the aging process.

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Multiphysics modeling is crucial in Surface Acoustic Wave (SAW) resonators. Existing coupling methods primarily focus on the displacement and electrical potential originating from the piezoelectric effect. As SAW technology advances, novel interaction mechanisms introduce new challenges in multiphysics modeling.

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Biobank-scale Whole-Genome Sequencing (WGS) studies are increasingly pivotal in unraveling the genetic bases of diverse health outcomes. However, managing and analyzing these datasets' sheer volume and complexity presents significant challenges. We propose , an all-in-one toolkit that efficiently converts WGS data from Variant Call Format (VCF) format to the annotated Genomic Data Structure (aGDS) format, significantly reducing data size while supporting seamless genomic and functional data integration for comprehensive genetic analyses.

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Twelve new isocoumarins, spegazmarins A-L (-), including nine novel dimeric derivatives (-), three monomeric derivatives (-), as well as eight known ones (-), were isolated from the endophytic fungus sp. MDCW-573. Their structures were elucidated by analysis of NMR, X-ray crystallography, and ECD data.

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Large-scale whole-genome sequencing (WGS) studies have improved our understanding of the contributions of coding and noncoding rare variants to complex human traits. Leveraging association effect sizes across multiple traits in WGS rare variant association analysis can improve statistical power over single-trait analysis, and also detect pleiotropic genes and regions. Existing multi-trait methods have limited ability to perform rare variant analysis of large-scale WGS data.

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Purpose: To improve the oral absorption of relugolix (RLGL), which has low oral bioavailability due to its low solubility and being a substrate of P-glycoprotein (P-gp). A solid self-microemulsifying drug delivery system of relugolix (RLGL-S-SMEDDS) was prepared and evaluated in vitro and in vivo.

Methods: The composition of the solid self-microemulsifying drug delivery system (S-SMEDDS) was selected by solubility study and pseudo-ternary phase diagram, and further optimized by Design-Expert optimization design.

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Thyroid-associated ophthalmopathy (TAO), an autoimmune disease closely related to thyroid dysfunction, remains a challenging ophthalmic condition among adults. Its clinical manifestations are complex and diverse, and disease progression can lead to exophthalmos, diplopia, exposure keratitis, corneal ulceration, and compressive optic neuropathy, resulting in irreversible vision damage or even blindness. Traditional treatment methods for TAO, including glucocorticoids, immunosuppressants, and radiation therapy, often have limitations and side effects, making this disease problematic in ophthalmology.

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Since the Industrial Revolution, significant changes in global land-use patterns have occurred, which have disrupted terrestrial carbon emissions. However, the disturbance processes, change trends, and distribution patterns are not clear. Therefore, the changes in terrestrial carbon emissions (E) caused by land-use change (LUC) since 1850 were analyzed in this study.

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Epidermal growth factor (EGF) binds with its surface receptor to stimulate gene expression and cancer cell proliferation. EGF stimulates cancer cell growth via phosphoinositide 3‑kinase (PI3K) and programmed cell death ligand 1 (PD‑L1) pathways. As an integrin αvβ3 antagonist, heteronemin exhibits potent cytotoxic effects against cancer cells.

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Background: Researchers have long been interested in the potential relationship between osteoarthritis (OA), falls, and fractures; however, the evidence supporting this relationship has been conflicting. This study aimed to investigate the association between osteoarthritis and future fracture events.

Materials And Methods: This study was designed as a prospective cohort study.

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Based on the signaling pathway of phosphoinositide 3-kinase(PI3K)/protein kinase B(Akt)/mammalian target of rapamycin(mTOR), pathway-related phosphatase and tensin homolog(PTEN), B-cell lymphoma-2(Bcl-2), and Bcl-2-associated X protein(BAX), the mechanism of Rose roxburghii polysaccharides in inhibiting proliferation and inducing apoptosis of prostate cancer DU145 cells was explored, as well as the antioxidant activity of R. roxburghii polysaccharides. Prostate cancer DU145 cells were treated with different concentrations of R.

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Stroke risk increases with chronological age, but the relationship with biological age (BA) acceleration is poorly understood. We aimed to examine the association between BA acceleration and incident stroke and its subtypes, explore the modifying effects on genetic susceptibility, and assess how BA acceleration mediates the effect of behavior score. We studied 253,932 UK Biobank participants and computed two BA measures (Klemera-Doubal Method [KDM], Phenotypic Age [PhenoAge]), with BA acceleration calculated by regressing BA on chronological age.

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Article Synopsis
  • Parkinson's disease (PD) is increasing globally due to aging, but effective treatments for its motor and cognitive symptoms are still lacking, with neuroinflammation and neuronal apoptosis worsening these conditions.
  • The study developed minocycline-loaded iron oxide nanoparticles (FeO-MIN NPs) that can cross the blood-brain barrier using near-infrared (NIR) irradiation, allowing targeted delivery to the brain.
  • The FeO-MIN NPs showed strong anti-inflammatory and antioxidative properties, protecting neurons and improving motor function and cognitive ability in PD mice, indicating their potential as a therapeutic option.
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Linear mixed-effects models (LMMs) and ridge regression are commonly applied in genetic association studies to control for population structure and sample-relatedness. To control for sample-relatedness, the existing methods use empirical genetic relatedness matrices (GRM) either explicitly or conceptually. This works well with mostly homogeneous populations, however, in multi-ancestry heterogeneous populations, GRMs are confounded with population structure which leads to inflated type I error rates, massively increased computation, and reduced power.

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N-Heterocyclic carbene (NHC) ligands have emerged as highly effective surface ligands for the protection and functionalization of metal nanoclusters (NCs). However, research on NHC-stabilized metal NCs, including their synthesis, structure, properties, and applications, is still in its early stages. In this study, we present the first gold-copper alloy cluster protected by both NHC and alkyne ligands, denoted as AuCu(NHC)(PA) (abbreviated as AuCu, where NHC is a bidentate N-heterocyclic carbene ligand with isopropyl as the N-substituent, and PA is a phenylethynyl group).

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  • Biocatalysis is a promising method for creating chiral pharmaceuticals, but improving the selectivity of biocatalysts can be complicated and resource-heavy.
  • * Researchers utilized machine learning on 240 datasets to build models that predict how amidase enzymes will interact with new substrates, focusing on chemistry and geometry descriptors.
  • * A new strategy based on these models allows for targeted protein engineering, resulting in an enzyme variant that demonstrates a 53-fold improvement in enantioselectivity compared to the original amidase.
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Sepsis is a severe inflammatory syndrome with high mortality and morbidity. Sepsis-induced myocardial dysfunction (SIMD) is a common cause of death in sepsis. The female sex is less susceptible to sepsis-related organ dysfunction, although the underlying mechanism of this sex difference remains unclear.

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  • The study investigates how rare non-coding genetic variations affect complex traits, specifically focusing on human height by analyzing data from over 333,100 individuals across three large datasets.
  • Researchers found 29 significant rare variants linked to height, with impacts ranging from a decrease of 7 cm to an increase of 4.7 cm, after considering previously known variants.
  • The team also identified specific non-coding variants near key genes associated with height, demonstrating a new method for understanding the effects of rare variants in regulatory regions using whole-genome sequencing.
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  • Platelets are key indicators of blood clotting issues like hypercoagulability, and their traits are influenced by multiple genes; however, little is known about how these traits vary in β-thalassemia patients.
  • A study analyzed platelet count and mean platelet volume in 1020 β-thalassemia patients and used whole genome sequencing to find genetic variants associated with these traits.
  • The research revealed significant variability in platelet traits among the patients and identified new genetic links, suggesting specific targets for future treatments or interventions related to platelet disorders in β-thalassemia.
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  • Alzheimer's disease (AD) is increasingly common due to an aging population, yet effective treatments are still lacking, with current understanding of its mechanisms remaining unclear.
  • The study introduces a black phosphorus nanosheet-based delivery system (BP-MB) that enhances drug delivery across the blood-brain barrier using near-infrared light and shows promise in reversing neuroapoptosis and neuroinflammation critical to AD pathology.
  • In animal tests, BP-MB improved cognitive function and alleviated symptoms of AD by reducing toxic factors and shifting microglia towards a less inflammatory state, showcasing its potential as a novel treatment for the disease.
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In Alzheimer's disease (AD) assessment, traditional deep learning approaches have often employed separate methodologies to handle the diverse modalities of input data. Recognizing the critical need for a cohesive and interconnected analytical framework, we propose the AD-Transformer, a novel transformer-based unified deep learning model. This innovative framework seamlessly integrates structural magnetic resonance imaging (sMRI), clinical, and genetic data from the extensive Alzheimer's Disease Neuroimaging Initiative (ADNI) database, encompassing 1651 subjects.

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