NMR is a central tool in the field of metabolomics, thanks to its ability to provide valuable structural and quantitative information with high precision. Most NMR-based metabolomics studies rely on 1D H detection, which is heavily limited by strong peak overlap. C NMR benefits from a wider spectral dispersion and narrower signal line width but is barely used in metabolomics due to its low sensitivity.
View Article and Find Full Text PDFObjective: To assess the accuracy of "diabetes overtreatment" proxy definitions in predicting hypoglycemia in older adults with type 2 diabetes (T2D).
Research Design And Methods: Inclusion of patients from HYPOAGE cohort with insulin-treated T2D, aged ≥75 years, and using a continuous glycemic monitoring (CGM) device for 28 days. "Diabetes overtreatment" was defined as HbA1c <7.
Introduction: Inclisiran, an siRNA targeting hepatic PCSK9 mRNA, administered twice-yearly (after initial and 3-month doses), substantially and sustainably reduced LDL-cholesterol (LDL-C) in Phase III trials. Whether lowering LDL-C with inclisiran translates into a reduced risk of major adverse cardiovascular events (MACE) is not yet established. In-silico trials applying a disease computational model to virtual patients receiving new treatments allow to emulate large scale long-term clinical trials.
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