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JACS Au
January 2025
Department of Cell and Molecular Biology, Uppsala University, 751 24 Uppsala, Sweden.
Disordered regions are an important functional feature of many multidomain proteins. A prime example is proteins in membraneless organelles, which contain folded domains that engage in specific interactions and disordered low-complexity (LC) domains that mediate liquid-liquid phase separation. Studying these complex architectures remains challenging due to their conformational variability.
View Article and Find Full Text PDFFront Public Health
January 2025
Faculty of Health and Society, Department of Care Science, Malmö University, Malmö, Sweden.
Aim: To identify existing public knowledge regarding diabetes and diabetes-related services offered to persons living with diabetes in the City of Malmö.
Methods: A literature review of City of Malmö's website, public statistics, School health documentation, job databases, education programs, local newspaper, Swedish National Diabetes Register, and was performed in 2020.
Results: We identified political decisions about diabetes nurses in home care, financing a project about diabetes complications, and funding support in schools for designated children.
J Neuroinflammation
January 2025
Department of Medical and Translational Biology, Umeå university, Umeå, 901 87, Sweden.
Background: Normal brain aging is associated with dopamine decline, which has been linked to age-related cognitive decline. Factors underlying individual differences in dopamine integrity at older ages remain, however, unclear. Here we aimed at investigating: (i) whether inflammation is associated with levels and 5-year changes of in vivo dopamine D2-receptor (DRD2) availability, (ii) if DRD2-inflammation associations differ between men and women, and (iii) whether inflammation and cerebral small-vessel disease (white-matter lesions) serve as two independent predictors of DRD2 availability.
View Article and Find Full Text PDFBMC Nephrol
January 2025
Department of Nephrology-Dialysis-Transplantation, University of Liège, CHU Sart Tilman, Liège, Belgium.
Background: Creatinine-based estimated glomerular filtration rate (eGFR) equations are widely used in clinical practice but exhibit inherent limitations. On the other side, measuring GFR is time consuming and not available in routine clinical practice. We developed and validated machine learning models to assess the trustworthiness (i.
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