Search Results - "Hart, Leen M ´t"

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    Apolipoprotein-CIII O-Glycosylation, a Link between GALNT2 and Plasma Lipids by Naber, Annemieke, Demus, Daniel, Slieker, Roderick, Nicolardi, Simone, Beulens, Joline W. J., Elders, Petra J. M., Lieverse, Aloysius G., Sijbrands, Eric J. G., ’t Hart, Leen M., Wuhrer, Manfred, van Hoek, Mandy

    “…Apolipoprotein-CIII (apo-CIII) is involved in triglyceride-rich lipoprotein metabolism and linked to beta-cell damage, insulin resistance, and cardiovascular…”
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    Journal Article
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    Visit-to-visit variability of glycemia and vascular complications: the Hoorn Diabetes Care System cohort by Slieker, Roderick C, van der Heijden, Amber A W H, Nijpels, Giel, Elders, Petra J M, 't Hart, Leen M, Beulens, Joline W J

    Published in Cardiovascular diabetology (12-12-2019)
    “…Glycemic variation has been suggested to be a risk factor for diabetes-related complications. Previous studies did not address confounding of diabetes…”
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    Sex steroids affect triglyceride handling, glucose-dependent insulinotropic polypeptide, and insulin sensitivity: a 1-week randomized clinical trial in healthy young men by Lapauw, Bruno, Ouwens, Margriet, 't Hart, Leen M, Wuyts, Birgitte, Holst, Jens J, T'Sjoen, Guy, Kaufman, Jean-Marc, Ruige, Johannes B

    Published in Diabetes care (01-08-2010)
    “…To evaluate metabolic effects of sex steroids in nonfasting and fasting conditions, independent from changes in body composition. A randomized clinical trial…”
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    Circulating small non‐coding RNAs are associated with the insulin‐resistant and obesity‐related type 2 diabetes clusters by Klerk, Juliette A., Beulens, Joline W. J., Bijkerk, Roel, Zonneveld, Anton Jan, Elders, Petra J. M., ’t Hart, Leen M., Slieker, Roderick

    Published in Diabetes, obesity & metabolism (01-10-2024)
    “…Aim To uncover differences in small non‐coding RNAs (sncRNAs) in individuals with type 2 diabetes (T2D) categorized into five clusters based on individual…”
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    An omics-based machine learning approach to predict diabetes progression: a RHAPSODY study by Slieker, Roderick C., Münch, Magnus, Donnelly, Louise A., Bouland, Gerard A., Dragan, Iulian, Kuznetsov, Dmitry, Elders, Petra J. M., Rutter, Guy A., Ibberson, Mark, Pearson, Ewan R., ’t Hart, Leen M., van de Wiel, Mark A., Beulens, Joline W. J.

    Published in Diabetologia (01-05-2024)
    “…Aims/hypothesis People with type 2 diabetes are heterogeneous in their disease trajectory, with some progressing more quickly to insulin initiation than…”
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    Diabetes risk loci-associated pathways are shared across metabolic tissues by Bouland, Gerard A, Beulens, Joline W J, Nap, Joey, van der Slik, Arno R, Zaldumbide, Arnaud, 't Hart, Leen M, Slieker, Roderick C

    Published in BMC genomics (14-05-2022)
    “…Numerous genome-wide association studies have been performed to understand the influence of genetic variation on type 2 diabetes etiology. Many identified…”
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    HbA1c is associated with altered expression in blood of cell cycle- and immune response-related genes by Slieker, Roderick C., van der Heijden, Amber A. W. A., van Leeuwen, Nienke, Mei, Hailiang, Nijpels, Giel, Beulens, Joline W. J., ’t Hart, Leen M.

    Published in Diabetologia (2018)
    “…Aims/hypothesis Individuals with type 2 diabetes are heterogeneous in their glycaemic control as tracked by blood HbA 1c levels. Here, we investigated the…”
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    Journal Article
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