Publications by authors named "M L Caspers"

Measuring the use of natural history collections is essential to understand their past and present impact on science, to underpin decisions about their management and to assist with deploying them optimally to address societal challenges. Using the vast natural history collections of Naturalis Biodiversity Center as an example, this paper assesses the significance and relevance of quantifying collection use. Four aspects are discussed: 1.

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Fibroblast growth factor 21 (FGF21) is a promising target for treatment of obesity-associated diseases including metabolic dysfunction-associated steatohepatitis (MASH) and atherosclerosis. We evaluated the effects of the bispecific anti-FGF21-β klotho (KLB) agonist antibody bFKB1 in a preclinical model of MASH and atherosclerosis. Low-density lipoprotein receptor knockout (Ldlr-/-).

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Article Synopsis
  • A target discovery pipeline was created to identify drug targets for metabolic dysfunction-associated steatohepatitis (MASH) and liver fibrosis by using a combination of molecular networks, text mining, and machine learning integrated with clinical data.
  • Key genes influencing disease progression were pinpointed through knockout studies, leading to target efficacy analysis which confirmed the top-5 gene targets, including EP300, as significant contributors to liver fibrosis.
  • Gene-silencing of EP300 notably reduced collagen levels in hepatic cells, demonstrating the pipeline's effectiveness in uncovering relevant drug targets and pathways for treating liver diseases.
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It is unclear whether early metabolic and inflammatory aberrations in the liver are associated with detrimental changes in brain structure and cognitive function. This cross-sectional study examines putative associations between metabolic dysfunction-associated steatotic liver disease (MASLD) and brain health in 36-55 year-old participants with obesity (n = 70) from the BARICO study (BAriatric surgery Rijnstate and Radboudumc neuroImaging and Cognition in Obesity). The participants underwent brain magnetic resonance imaging to study brain volumes and cortical thickness (3T MRI including T1-weighted magnetization-prepared rapid gradient-echo sequence), cerebral blood perfusion (arterial spin labeling) and white matter integrity (diffusion weighted imaging to assess mean-skeletonized mean diffusivity and fluid-attenuated inversion recovery to detect the presence of white matter hyperintensities (WMH)).

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