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Background: Drug-drug interactions (DDIs) especially antagonistic ones present significant risks to patient safety, underscoring the urgent need for reliable prediction methods. Recently, substructure-based DDI prediction has garnered much attention due to the dominant influence of functional groups and substructures on drug properties. However, existing approaches face challenges regarding the insufficient interpretability of identified substructures and the isolation of chemical substructures.

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Optical techniques, such as functional near-infrared spectroscopy (fNIRS), contain high potential for the development of non-invasive wearable systems for evaluating cerebral vascular condition in aging, due to their portability and ability to monitor real-time changes in cerebral hemodynamics. In this study, thirty-six healthy adults were measured by single channel fNIRS to explore differences between two age groups using machine learning (ML). The subjects, measured during functional magnetic resonance imaging (fMRI) at Oulu University Hospital, were divided into young (age ≤ 32) and elderly (age ≥ 57) groups.

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Epidemiological status, development trends, and risk factors of disability-adjusted life years due to diabetic kidney disease: A systematic analysis of Global Burden of Disease Study 2021.

Chin Med J (Engl)

January 2025

Department of Metabolism and Endocrinology, National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China.

Background: Approximately 40% of individuals with diabetes worldwide are at risk of developing diabetic kidney disease (DKD), which is not only the leading cause of kidney failure, but also significantly increases the risk of cardiovascular disease, causing significant societal health and financial burdens. This study aimed to describe the burden of DKD and explore its cross-country epidemiological status, predict development trends, and assess its risk factors and sociodemographic transitions.

Methods: Based on the Global Burden of Diseases (GBD) Study 2021, data on DKD due to type 1 diabetes (DKD-T1DM) and type 2 diabetes (DKD-T2DM) were analyzed by sex, age, year, and location.

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Magnetic Resonance Imaging is a cornerstone of medical diagnostics, providing high-quality soft tissue contrast through non-invasive methods. However, MRI technology faces critical limitations in imaging speed and resolution. Prolonged scan times not only increase patient discomfort but also contribute to motion artifacts, further compromising image quality.

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Tumor-targeted near-infrared/ultraviolet-triggered photothermal/gas therapy nanoplatform for effective cancer synergistic therapy.

Colloids Surf B Biointerfaces

January 2025

Key Laboratory of Fermentation Engineering (Ministry of Education), Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Glyn O. Phillips Hydrocolloid Research Centre at HBUT, School of Life and Health Sciences, Hubei University of Technology, Wuhan, 430068, China; Ministry-of-Education Key Laboratory for the Green Preparation and Application of Functional Materials, Hubei Key Laboratory of Polymer Materials, College of Health Science and Engineering, School of Materials Science and Engineering, Hubei University, Wuhan 430062, China. Electronic address:

The integration of photothermal therapy (PTT) and gas therapy (GT) on a nanoplatform shows great potential in cancer treatment. In this paper, a tumor-targeted near-infrared/ultraviolet (NIR/UV) triggered PTT/GT synergistic therapeutic nanoplatform, PB-CD-PLL(NF)-FA, was designed based on Prussian blue (PB) nanoparticles, 5-chloro-2-nitrobenzotrifluoro (NF)-grafted polylysine (PLL(NF)), and folic acid (FA). PB serves as a core to load PLL(NF) through host-guest interaction and can further modify FA.

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