Publications by authors named "E van Dijk"

is the leading cause of healthcare-associated diarrhea in industrialized countries. Many questions remain to be answered about the mechanisms governing its interaction with the host during infection. Non-coding RNAs (ncRNAs) contribute to shape virulence in many pathogens and modulate host responses; however, their role in infection (CDI) has not been explored.

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Here we conduct a study involving 12 individuals with retinal dystrophy, neurological impairment, and skeletal abnormalities, with special focus on GPATCH11, a lesser-known G-patch domain-containing protein, regulator of RNA metabolism. To elucidate its role, we study fibroblasts from unaffected individuals and patients carrying the recurring c.328+1 G > T mutation, which specifically removes the main part of the G-patch domain while preserving the other domains.

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Enthusiasm is a relatively under-explored emotion. The current research explores the unique characteristics of enthusiasm by examining its cognitive appraisals (Study 1, = 300) and response types (Study 2, = 298) and comparing it with joy and hope. Participants in both studies recalled and rated events where they felt enthusiasm, joy, or hope.

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Polypoidal choroidal vasculopathy (PCV) is an aneurismal type of macular neovascularization that show similarities with age-related macular degeneration and diseases that are part of the pachychoroid disease spectrum. Exudative changes in PCV can be treated with intravitreal anti-vascular endothelial growth factor monotherapy; however, a combination therapy with photodynamic therapy may be required. In this systematic review and meta-analysis, we evaluated the efficacy of faricimab for PCV.

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The genome of esophageal adenocarcinoma (EAC) is highly unstable and might evolve over time. Here, we track karyotype evolution in EACs in response to treatment and upon recurrence through multi-region and longitudinal analysis. To this end, we introduce L-PAC (low-purity inference of absolute copy-number alterations [CNAs]), a bio-informatics technique that allows inference of absolute CNAs of low-purity samples by leveraging the information of high-purity samples from the same cancer.

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