Publications by authors named "Nan Liu"

Existing evidence indicates that exercise training can enhance neural function by regulating mitochondrial quality control (MQC), which can be impaired by cerebral ischemia, and that sirtuin-3 (SIRT3), a protein localized in mitochondria, is crucial in maintaining mitochondrial functions. However, the relationship among exercise training, SIRT3, and MQC after cerebral ischemia remains obscure. This study attempted to elucidate the relationship among exercise training, SIRT3 and MQC after cerebral ischemia in rats.

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Background: Traditional clustering techniques are typically restricted to either continuous or categorical variables. However, most real-world clinical data are mixed type. This study aims to introduce a clustering technique specifically designed for datasets containing both continuous and categorical variables to offer better clustering compatibility, adaptability, and interpretability than other mixed type techniques.

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Curcumin has diverse biological functions, especially antioxidant and anti-inflammatory properties, but clinical trials have been hindered by its low bioavailability and pharmacokinetic properties. To achieve therapeutic efficacy, understanding curcumin's metabolism is crucial. We reviewed current research on curcumin metabolism in PubMed, Google Scholar, and CNKI.

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Retinal ischemia-reperfusion (IR) injury is a major cause of vision loss worldwide, with ferroptosis, oxidative stress, and inflammation playing key roles in its pathogenesis. Currently, treatments targeting multiple aspects of this condition are limited. This study introduces a supramolecular nanoparticle combining the phosphodiesterase 4 (PDE4) inhibitor crisaborole and the ferroptosis inhibitor deferoxamine to address these pathological processes.

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To achieve high accuracy and effectiveness in sensing and modulating neural activity, efficient charge-transfer biointerfaces and a high spatiotemporal resolution are required. Ultrathin bioelectrode arrays exhibiting mechanical compliance with biological tissues offer such biointerfaces. However, their thinness often leads to a lack of mechano-electrical stability or sufficiently high electrochemical capacitance, thus deteriorating their overall performance.

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  • Renal biopsy is key for diagnosing immunoglobulin A nephropathy (IgAN), but the study explored using [F]AlF-NOTA-FAPI-04 PET/CT to assess kidney issues less invasively.
  • The study included 30 patients (20 with IgAN and 10 controls) who underwent imaging and biopsy, followed by specific staining methods to analyze kidney tissue.
  • Results showed higher FAPI uptake in IgAN patients, with significant correlations between FAPI levels and indicators of kidney damage, suggesting PET/CT may effectively identify the severity of IgAN.
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Background: Autophagy‒endoplasmic reticulum (ER) stress axis dysregulation is linked to myocardial ischemia‒reperfusion injury (MIRI), which counteracts the benefits of acute myocardial infarction (AMI) reperfusion therapy. Qingre Huoxue decoction (QRHX) improves the short- and long-term prognosis of AMI after percutaneous coronary intervention and alleviates myocardial injury in AMI rats by stimulating autophagy via the PI3K/Akt pathway. We aimed to further explore the efficacy of QRHX in treating MIRI and its regulatory relationship with FAM134B-mediated ER-phagy.

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Immunocytokines, employing targeted antibodies to concentrate cytokines at tumor sites, have shown potential advantages such as prolonged cytokine half-lives, mitigated adverse effects, and synergistic antitumor efficacy from both antibody and cytokine components. First, we present an in-depth analysis of the advancements of immunocytokines evaluated in preclinical and clinical applications. Notably, anti-PD-1-based immunocytokines can redirect cytokines to intratumoral CD8 T cells and reinvigorate them to elicit robust antitumor immune responses.

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The APOBEC3 (A3) family plays a pivotal role in the immune system by performing DNA/RNA single-strand deamination. Cancers mostly arise from the accumulation of chronic mutations in somatic cells, and recent research has highlighted the A3 family as a major contributor to tumor-associated mutations, with A3A being a key driver gene leading to cancer-related mutations. A3A helps to defend the host against virus-induced tumors by editing the genome of cancer-associated viruses that invade the host.

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Distinguishing unilateral aldosterone-producing adenomas (APA) from idiopathic hyperaldosteronism (IHA), nonfunctional adrenal adenoma (NFA), and pheochromocytoma (PHEO) within primary aldosteronism (PA) presents a significant challenge. Studies have demonstrated high levels of chemokine receptor (CXCR) 4 expression in APA, thereby validating the use of Ga-labeled CXCR4 PET/CT for detecting APA. This study evaluates the efficacy of [F]AlF-NOTA-pentixather PET/CT in distinguishing APA from other PA types.

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Alongshan virus (ALSV) is a newly discovered pathogen in the family, characterized by a unique multi-segmented genome that is distantly related to the canonical flaviviruses. Understanding the pathogenic mechanism of this emerging segmented flavivirus is crucial for the development of effective intervention strategies. In this study, we demonstrate that ALSV can infect various mammalian cells and induce the expression of antiviral genes.

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Periodate (PI) shows promising potential as an oxidant for wastewater treatment; however, its impact on the toxicity of wastewater remains unknown. Here, we found that with 100 μM PI addition, the cytotoxicity of wastewater increased from 4.8 to 7.

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  • - Federated learning (FL) is a method that enhances data privacy in healthcare collaborations, with roots in both engineering and statistics, and a need for better recognition of statistical privacy-preserving algorithms.
  • - The study compared seven FL frameworks from both domains, evaluating their performance using logistic regression and Lasso modeling on simulated and real-world data, revealing statistical FL algorithms yield less biased estimates while engineering methods can offer better predictions.
  • - The research highlights strengths and weaknesses of both FL methods, suggesting their selection based on specific study needs, and calls for increased awareness and integration of these techniques in future healthcare applications.
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  • Fibroblast-like synoviocytes and angiogenesis are key factors in the progression of rheumatoid arthritis (RA), and this study evaluated the effectiveness of [F]AlF-FAPI-RGD PET/CT imaging as a diagnostic tool for assessing disease activity and treatment response in RA patients.
  • The study included 28 patients (average age 55), who underwent clinical evaluations and imaging at the start and after three months of treatment; the imaging revealed a higher detection rate of affected joints compared to traditional clinical assessments.
  • Results indicated that PET imaging could provide valuable insights into disease status, showing significant decreases in certain imaging parameters for those responding to treatment, and it may also help in identifying early subclinical RA.
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Proteins with specific functions and characteristics play a crucial role in biomedicine and nanotechnology. protein design enables the customization of sequences to produce proteins with desired structures that do not exist in the nature. In recent years, with the rapid development of artificial intelligence (AI), deep learning-based generative models have increasingly become powerful tools, enabling the design of functional proteins with atomic-level precision.

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The escalating integration of machine learning in high-stakes fields such as healthcare raises substantial concerns about model fairness. We propose an interpretable framework, fairness-aware interpretable modeling (FAIM), to improve model fairness without compromising performance, featuring an interactive interface to identify a "fairer" model from a set of high-performing models and promoting the integration of data-driven evidence and clinical expertise to enhance contextualized fairness. We demonstrate FAIM's value in reducing intersectional biases arising from race and sex by predicting hospital admission with two real-world databases, the Medical Information Mart for Intensive Care IV Emergency Department (MIMIC-IV-ED) and the database collected from Singapore General Hospital Emergency Department (SGH-ED).

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  • Cognitive biases in clinical decision-making lead to misdiagnoses and hurt patient outcomes, making it essential to find solutions in the medical field.
  • The study explores how large language models (like GPT-4) can help reduce these biases through a multi-agent framework that simulates clinical team interactions to enhance diagnostic accuracy.
  • Results showed that while initial diagnoses were completely inaccurate, using the multi-agent framework improved the accuracy of final differential diagnoses to 76%, indicating its potential as a valuable tool in medical decision-making.
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Background: Serpin B9 is highly expressed in breast cancer, melanoma, and various malignant cells and inhibits NK cell killing through the Serpin B9-GrB axle. However, the current studies have only validated the role of Serpin B9 in vivo and vitro, and lack of systematic studies on the expression of Serpin B9 in patients' tumor tissues and its prognostic implications. In this study, we propose to further validate the role of Serpin B9 by comparing its expression level in tissues of lung adenocarcinoma patients and its correlation with the efficacy of immunotherapy.

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  • Niemann-Pick C1 (NPC1) is a cholesterol transport protein linked to liver issues such as hepatomegaly and acute liver failure, but its exact role in these conditions is not understood.
  • The study investigates the role of NPC1 in liver injury, focusing on how its presence in macrophages affects liver health and inflammation.
  • Findings reveal that increased NPC1 protects against liver damage by enhancing macrophage cleanup of dead cells, while a lack of NPC1 worsens inflammation and tissue damage in liver injury models.*
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