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Chemical composition and anticancer potential of water extracts derived from ground powder of Thai germinated brown rice ().
Nat Prod Res
January 2025
Cholangiocarcinoma Research Institute, Khon Kaen University, Khon Kaen, Thailand.
Powdered germinated Thai rice () is widely utilised as a dietary supplement to support health and prevent diseases. This study investigated the bioactive compound profile of water extracts from beverage powder made from Thai germinated brown rice (GBRE) and assessed its anticancer effects on cholangiocarcinoma, lung cancer, and liver cancer cell lines. Proton nuclear magnetic resonance (1H-NMR) revealed 23 metabolites, including amino acids, sugar, phenolic compounds and nitrogenous compounds.
View Article and Find Full Text PDFDevelopment of a Polygenic Risk Score for Metabolic Dysfunction-Associated Steatotic Liver Disease Prediction in UK Biobank.
Genes (Basel)
December 2024
Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 17671 Athens, Greece.
Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is the leading cause of liver-related morbidity and mortality. Although the invasive liver biopsy remains the golden standard for MASLD diagnosis, Magnetic Resonance Imaging-derived Proton Density Fat Fraction (MRI-PDFF) is an accurate, non-invasive method for the assessment of treatment response. This study aimed at developing a Polygenic Risk Score (PRS) to improve MRI-PDFF prediction using UK Biobank data to assess an individual's genetic liability to MASLD.
View Article and Find Full Text PDFConstruction of a Compound Model to Enhance the Accuracy of Hepatic Fat Fraction Estimation with Quantitative Ultrasound.
Diagnostics (Basel)
January 2025
Department of Radiology, Medical Imaging Centre, Semmelweis University, 1082 Budapest, Hungary.
we evaluated regression models based on quantitative ultrasound (QUS) parameters and compared them with a vendor-provided method for calculating the ultrasound fat fraction (USFF) in metabolic dysfunction-associated steatotic liver disease (MASLD). We measured the attenuation coefficient (AC) and the backscatter-distribution coefficient (BSC-D) and determined the USFF during a liver ultrasound and calculated the magnetic resonance imaging proton-density fat fraction (MRI-PDFF) and steatosis grade (S0-S4) in a combined retrospective-prospective cohort. We trained multiple models using single or various QUS parameters as independent variables to forecast MRI-PDFF.
View Article and Find Full Text PDFPrognosticating WHO/ISUP grade in clear cell renal cell carcinoma: Insights from amide proton transfer-weighted MRI.
Magn Reson Imaging
January 2025
Department of Medical Imaging, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China; Institute of Medical Imaging Artificial Intelligence, Tongji University School of Medicine, Shanghai 200065, China. Electronic address:
Background: Preoperative prediction of clear cell renal cell carcinoma (ccRCC) grade can support optimal selection of surgical resection strategies. Currently, there is no effective preoperative method for accurately assessing the histologic grade of ccRCC. More precise, non-invasive prediction methods are needed.
View Article and Find Full Text PDFUnveiling Silent Atherosclerosis in Type 1 Diabetes: The Role of Glycoprotein and Lipoprotein Lipidomics, and Cardiac Autonomic Neuropathy.
Metabolites
January 2025
Diabetes, Obesity and Human Reproduction Research Group, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS) & Centro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Universidad de Alcalá, 28034 Madrid, Spain.
This study aimed to evaluate whether glycoprotein and lipoprotein lipidomics profiles could enhance a clinical predictive model for carotid subclinical atherosclerosis in patients with type 1 diabetes (T1D). Additionally, we assessed the influence of cardiac autonomic neuropathy (CAN) on these predictive models. We conducted a cross-sectional study including 256 patients with T1D.
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