Publications by authors named "A Gorter"

Article Synopsis
  • - Free radicals are important in various biological processes like cell communication and aging, and their levels increase in stressed cells, especially in liver diseases and cancer.
  • - Detecting free radicals is difficult due to their small size and short lifespan, but diamond-based quantum sensing has been developed to measure them in living cells.
  • - The method was adapted for fragile tissues, allowing researchers to successfully track free radical generation in liver slices under stress and observe the effects of antioxidants.
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Metabolic dysfunction-associated steatotic liver disease (MASLD) is a growing healthcare problem with limited therapeutic options. Progress in this field depends on the availability of reliable preclinical models. Human precision-cut liver slices (PCLSs) have been employed to replicate the initiation of MASLD, but a comprehensive investigation into MASLD progression is still missing.

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Background: In this qualitative study we observed in-depth the impact of the visiting restriction policy (VRP, i.e. number of visitors allowed at home) on well-being and compliance during the COVID-19 pandemic to regulate infection rates.

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Background: Loss of muscle mass is linked with impaired quality of life and an increased risk of morbidity and premature mortality. Iron is essential for cellular processes such as energy metabolism, nucleotide synthesis and numerous enzymatic reactions. As the effects of iron deficiency (ID) on muscle mass and function are largely unknown, we aimed to assess the relation between ID and muscle mass in a large population-based cohort, and subsequently studied effects of ID on cultured skeletal myoblasts and differentiated myocytes.

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Objective: The aim of this study was to explore the longitudinal associations between health literacy profiles and disease activity and medication prescription in patients with RA.

Methods: Patients with RA who previously completed the Health Literacy Questionnaire (HLQ) and were assigned 1 of 10 distinct health literacy profiles based on cluster analysis were further aggregated into three groups: 'several health literacy limitations', 'some health literacy limitations' and 'good health literacy'. Linear mixed modelling (LMM) was used to analyse the association between health literacy groups and disease activity over the course of 1 year.

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