Publications by authors named "D M Winter"

Background: Because the occurrence of metabolic syndrome (MetS) might contribute to childhood cancer survivor's excess risk of cardiovascular disease, the authors assessed the prevalence and determinants of MetS in the Dutch Childhood Cancer Survivor Study (DCCSS-LATER2) cohort.

Methods: In total, 2338 adult childhood cancer survivors (CCS) were cross-sectionally assessed for the prevalence of MetS, using the Lifelines cohort (N = 132,226 adults without a history of cancer) as references. The prevalence of MetS was clinically assessed using existing classifications, as well as an alternative method using dual-energy x-ray absorptiometry fat% instead of waist circumference to define abdominal adiposity.

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Objective: To determine consensus, using Delphi methodology, on the critical procedural steps for intravascular intrauterine transfusion (IUT) for the treatment of fetal anemia.

Methods: We conducted a two-part Delphi survey of international experts in fetal intervention. The first round of the survey proposed 32 potentially critical steps for the IUT procedure.

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Background: Eosinophilic esophagitis (EoE) is a chronic T helper type 2 (Th2)-associated inflammatory disorder triggered by food allergens, resulting in esophageal dysfunction through edema, fibrosis, and tissue remodeling. The role of epithelial remodeling in EoE pathogenesis is critical but not fully understood.

Objective: To investigate the role of epithelial IKKβ/NFκB signaling in EoE pathogenesis using a mouse model with conditional Ikkβ knockout in esophageal epithelial cells (Ikkβ).

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For the reproducible analysis of peptides by mass spectrometry-based proteomics, data-independent acquisition (DIA) and parallel/multiple reaction monitoring (PRM/MRM) deliver unrivalled performance with respect to sensitivity and reproducibility. Both approaches, however, come with distinct advantages and shortcomings. While DIA enables unbiased whole proteome analysis, it shows limitations with respect to dynamic range and the quantification of low-abundant proteins.

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