Publications by authors named "K A Zwinderman"
Article Synopsis
- The study explores how patients on immunosuppressants (ISPs) respond to SARS-CoV-2 infections compared to healthy controls, particularly looking at antibody levels post-infection.
- Patients with immune-mediated inflammatory diseases (IMIDs) on different ISP therapies showed variable antibody responses, with those on anti-CD20 and sphingosine-1 phosphate therapies having lower antibody levels.
- Despite lower antibody titers, the breakthrough infections in these patients were mostly mild, indicating that ISPs may not severely impede the overall immune response to SARS-CoV-2.
Background: The occurrence of metabolic syndrome (MetS) and the gut microbiota composition are known to differ across ethnicities yet how these three factors are interwoven is unknown. Also, it is unknown what the relative contribution of the gut microbiota composition is to each MetS component and whether this differs between ethnicities. We therefore determined the occurrence of MetS and its components in the multi-ethnic HELIUS cohort and tested the overall and ethnic-specific associations with the gut microbiota composition.
View Article and Find Full Text PDFThe sound of Parkinson's disease: A model of audible bradykinesia.
Parkinsonism Relat Disord
March 2024
Introduction: Evaluation of bradykinesia is based on five motor tasks from the MDS-UPDRS. Visually scoring these motor tasks is subjective, resulting in significant interrater variability. Recent observations suggest that it may be easier to hear the characteristic features of bradykinesia, such as the decrement in sound intensity or force of repetitive movements.
View Article and Find Full Text PDFAccurate inference of genetic ancestry is crucial for population-based association studies, accounting for population heterogeneity and structure. This study analyzes genome-wide SNP data from the Netherlands Twin Register to compare genetic ancestry estimates. The focus is on the comparison of ancestry estimates between family members and individuals genotyped on multiple arrays (Affymetrix 6.
View Article and Find Full Text PDFBackground And Aims: Detecting NASH remains challenging, while at-risk NASH (steatohepatitis and F≥ 2) tends to progress and is of interest for drug development and clinical application. We developed prediction models by supervised machine learning techniques, with clinical data and biomarkers to stage and grade patients with NAFLD.
Approach And Results: Learning data were collected in the Liver Investigation: Testing Marker Utility in Steatohepatitis metacohort (966 biopsy-proven NAFLD adults), staged and graded according to NASH CRN.