Publications by authors named "Lichao Sun"

Isocyanate-free polyurethane adhesives have attracted considerable attention as a promising environmentally friendly alternative. However, their progress has been hindered by insufficient bonding performance and weak solvent resistance, as well as the laborious synthesis processes involved. Herein, we successfully synthesized a high-performance lignin-based non-isocyanate adhesives (LNIPUs-G) through a one-pot strategy that combines the polycondensation of carbonate groups with polyether amines and aldehyde-amine chemistry.

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Emodin, derived from Rheum officinale and aloe, is known for its diverse benefits such as anti-inflammatory, antioxidant, and antibacterial properties. Currently, the impact of emodin on urosepsis is unclear. This study aims to investigate the mechanism of action of emodin in urosepsis.

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Article Synopsis
  • Sepsis-induced acute liver injury (SALI) is a serious condition linked to multi-organ dysfunction and has a high risk of complications and mortality.
  • Different types of liver macrophages (like Kupffer cells and monocyte-derived macrophages) have varied responses that can influence the severity of SALI by recognizing pathogens, regulating inflammation, and undergoing cell death processes.
  • The review emphasizes the complex roles of these macrophages in both causing and repairing liver injury, highlighting their potential impact on future research in this area.
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Motivation: Predicting the binding affinity between antigens and antibodies accurately is crucial for assessing therapeutic antibody effectiveness and enhancing antibody engineering and vaccine design. Traditional machine learning methods have been widely used for this purpose, relying on interfacial amino acids' structural information. Nevertheless, due to technological limitations and high costs of acquiring structural data, the structures of most antigens and antibodies are unknown, and sequence-based methods have gained attention.

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Vanillin is a widely used flavoring compound in the food, pharmaceutical, and cosmetics area. However, the biosynthesis of vanillin from low-cost shikimic acid is significantly hindered by the low activity of the rate-limiting enzyme, caffeate -methyltransferase (COMT). To screen COMT variants with improved conversion rates, we designed a biosensing system that is adaptable to the COMT-mediated vanillin synthetic pathway.

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The Segment Anything Model (SAM), a foundation model for general image segmentation, has demonstrated impressive zero-shot performance across numerous natural image segmentation tasks. However, SAM's performance significantly declines when applied to medical images, primarily due to the substantial disparity between natural and medical image domains. To effectively adapt SAM to medical images, it is important to incorporate critical third-dimensional information, i.

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Sepsis-associated liver injury (SALI) occurs in about a third of septic patients, and it is often a poor prognostic factor. However, there are few studies on early SALI and its impact on the clinical course of sepsis. Here we explored the clinical characteristics, risk factors, and prognosis of early SALI.

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Plasmid-mediated antibiotic-free fermentation holds significant industrial potential. However, the requirements for host elements and energy during plasmid inheritance often cause cell burden, leading to plasmid loss and reduced production. The stable maintenance of plasmids is primarily achieved through a complex mechanism, making it challenging to rationally design plasmid-stabilizing strains and characterize the associated genetic factors.

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Article Synopsis
  • Traditional biomedical AI models are limited in flexibility and can't easily use comprehensive information for real-world applications.
  • BiomedGPT is introduced as an open-source, lightweight generalist AI model capable of performing various biomedical tasks, achieving top results in many experiments.
  • It shows strong performance in tasks like radiology question answering, report generation, and summarization, indicating that training with diverse data can enhance the utility of biomedical AI in diagnosis and workflow efficiency.
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Objectives: This study aimed to summarize the existing literature on risk factors for arrhythmias after chemotherapy in cancer patients. To provide reliable evidence for treating arrhythmias after chemotherapy in oncology patients by assessing multiple biasing factors in the literature and quantifying the risk factors.

Methods: The risk factors for arrhythmia following tumor chemotherapy were systematically collected from various reputable databases, including PubMed, Cochrane Library, MEDLINE, EMBASE, and multiple Chinese databases, covering the period from inception to May 2023.

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Article Synopsis
  • - Sepsis is a serious syndrome that results from the body's extreme reaction to infection, leading to multiple organ dysfunction and a high risk of death, especially in intensive care units.
  • - Surviving sepsis can result in acute brain injury and long-term cognitive issues, referred to as sepsis-associated encephalopathy (SAE), whose underlying causes are still not fully understood.
  • - Ongoing research is focused on the mechanisms behind SAE to identify potential treatments and prevention strategies, with the goal of improving the outlook for sepsis patients.
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Background: Super-enhancers (SEs) typically govern the expression of critical oncogenes and play a fundamental role in the initiation and progression of cancer. Focusing on genes that are abnormally regulated by SE in cancer may be a new strategy for understanding pathogenesis. In the context of this investigation, we have identified a previously unreported SE-driven gene IRF2BP2 in neuroblastoma (NB).

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Background: This study aims to explore whether Xuebijing (XBJ) can improve intestinal microcirculation dysfunction in sepsis and its mechanism.

Methods: A rat model of sepsis was established by cecal ligation and puncture (CLP). A total of 30 male SD rats were divided into four groups: sham group, CLP group, XBJ + axitinib group, and XBJ group.

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Coexpressing multiple identical single guide RNAs (sgRNAs) in CRISPR-dependent engineering triggers genetic instability and phenotype loss. To provide sgRNA derivatives for efficient DNA digestion, we design a high-throughput digestion-activity-dependent positive screening strategy and astonishingly obtain functional nonrepetitive sgRNA mutants with up to 48 out of the 61 nucleotides mutated, and these nonrepetitive mutants completely lose canonical secondary sgRNA structure in simulation. Cas9-sgRNA complexes containing these noncanonical sgRNAs maintain wild-type level of digestion activities in vivo, indicating that the Cas9 protein is compatible with or is able to adjust the secondary structure of sgRNAs.

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Objectives: Racial disparities in kidney transplant access and posttransplant outcomes exist between non-Hispanic Black (NHB) and non-Hispanic White (NHW) patients in the United States, with the site of care being a key contributor. Using multi-site data to examine the effect of site of care on racial disparities, the key challenge is the dilemma in sharing patient-level data due to regulations for protecting patients' privacy.

Materials And Methods: We developed a federated learning framework, named dGEM-disparity (decentralized algorithm for Generalized linear mixed Effect Model for disparity quantification).

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Article Synopsis
  • - Acute liver failure is rare and often caused by viral hepatitis or drug-related damage, but Budd-Chiari syndrome is an uncommon cause worth considering.
  • - A Chinese male patient experienced liver failure after consuming fatty foods, leading to symptoms like nausea and fever, and was later diagnosed with Budd-Chiari syndrome due to protein C deficiency.
  • - Effective imaging techniques confirmed liver vein blockages, and after treatment involving a portal shunt, the patient's liver function and coagulation levels improved significantly.
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Background: This report delves into the diagnostic and therapeutic journey undertaken by a patient with high-dose cantharidin poisoning and multiorgan dysfunction syndrome (MODS). Particular emphasis is placed on the comprehensive elucidation of the clinical manifestations of high-dose cantharidin poisoning, the intricate path to diagnosis, and the exploration of potential underlying mechanisms.

Case Summary: A patient taking 10 g of cantharidin powder orally subsequently developed MODS.

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Foreign ions as additives are of great significance for realizing excellent control over the morphology of noble metal nanostructures in the state-of-the-art seed-mediated growth method; however, they remain largely unexplored in chiral synthesis. Here, we report on a Cu-dominated chiral growth strategy that can direct the growth of concave chiral Au nanoparticles with C3-dominant chiral centers. The introduction of trace amounts of Cu ions in the seed-mediated chiral growth process is found to dominate the chirality transfer from chiral molecules to chiral nanoparticles, leading to the formation of chiral nanoparticles with a concave VC geometry.

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Chirality transfer from chiral molecules to chiral nanomaterials represents an important topic for exploring the origin of chirality in many natural and artificial systems. Moreover, developing a promising class of chiral nanomaterials holds great significance for various applications, including sensing, photonics, catalysis, and biomedicine. Here we demonstrate the geometric control and tunable optical chirality of chiral pentatwinned Au nanoparticles with 5-fold rotational symmetry using the seed-mediated chiral growth method.

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Corona Virus Disease 2019 (COVID-19) is a global pandemic epidemic caused by severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2), which poses a serious threat to human health worldwide and results in significant economic losses. With the continuous emergence of new virus strains, small molecule drugs remain the most effective treatment for COVID-19. The traditional drug development process usually requires several years; however, the development of computer-aided drug design (CADD) offers the opportunity to develop innovative drugs quickly and efficiently.

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Chiral hybrid nanomaterials with multiple components provide a highly promising approach for the integration of desired chirality with other functionalities into one single nanoscale entity. However, precise control over multicomponent chiral plasmonic hybrid nanomaterials to enable their application in diverse and complex scenarios remains a significant challenge. In this review, our focus lies on the recent advances in the preparation and application of multicomponent chiral plasmonic hybrid nanomaterials, with an emphasis on synthetic strategies and emerging applications.

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