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Wesseling, M.

Publications and source records attributed to Wesseling, M..

2 recordsLinked to original sources

Identification of endothelial-to-mesenchymal transition gene signatures in single-cell transcriptomics of human atherosclerotic tissue

RationaleEndothelial cells can differentiate into mesenchymal-like cells via endothelial to mesenchymal transition (EndoMT). In murine models, cell transitions of EndoMT have been assessed with lineage tracing techniques. Knowledge on molecular mechanisms of EndoMT in human vascular lesions is scarce as studies in human atherosclerosis are limited by observational study designs such as histo-pathological studies. ObjectiveWe aim to identify a human EndoMT gene expression signature by combining experimentally induced in vitro EndoMT with lineage-traced pathways from atherosclerotic mice and extrapolate this to human plaque scRNA-seq data. Methods and resultsFirst, we stimulated human coronary artery endothelial cells (HCAEC) with TNF and TFG{beta} to trigger EndoMT. We executed transcriptomic analyses and defined multiple temporal patterns of gene expression changes during EndoMT. We used Cdh5-CreERT2 Rosa-eYFP apoE-/- lineage traced mouse scRNA-seq data to demonstrate that the temporal in vitro gene expression changes are reflected in EndoMT trajectories in mice plaque tissue. Finally, we constructed three candidate EndoMT lineages across multiple subpopulations of ECs and SMCs in human carotid scRNA-seq data (n=46). We examined gene expression over the course of these lineages and identified 73 markers for the presence of EndoMT such as NRG1 and DEPP1. ConclusionThis study reveals the gene expression profile of EndoMT trajectories in human atherosclerotic plaques by combining RNA-seq data from in vitro models with single-cell transcriptomic datasets. Our gene expression atlas of EndoMT in atherosclerosis could serve as a reference for future studies, providing novel inroads to study atherosclerotic mechanisms for the development of novel therapies.

molecular biology↗

Physics-based predictive simulations to explore the differential effects of motor control and musculoskeletal deficits on gait dysfunction in cerebral palsy: a retrospective case study

Model-based simulations of walking have the theoretical potential to support clinical decision making by predicting the functional outcome of treatments in terms of walking performance. Yet before using such simulations in clinical practice, their ability to identify the main treatment targets in specific patients needs to be demonstrated. In this study, we generated predictive simulations of walking with a medical imaging based neuro-musculoskeletal model of a child with cerebral palsy presenting crouch gait. We explored the influence of altered muscle-tendon properties, reduced neuromuscular control complexity, and spasticity on gait function in terms of joint kinematics, kinetics, muscle activity, and metabolic cost of transport. We modeled altered muscle-tendon properties by personalizing Hill-type muscle-tendon parameters based on data collected during functional movements, simpler neuromuscular control by reducing the number of independent muscle synergies, and spasticity through delayed muscle activity feedback from muscle force and force rate. Our simulations revealed that, in the presence of aberrant musculoskeletal geometries, altered muscle-tendon properties rather than reduced neuromuscular control complexity and spasticity were the primary cause of the crouch gait pattern observed for this child, which is in agreement with the clinical examination. These results suggest that muscle-tendon properties should be the primary target of interventions aiming to restore a more upright gait pattern for this child. This suggestion is in line with the gait analysis following muscle-tendon property and bone deformity corrections. The ability of our simulations to distinguish the contribution of different impairments on walking performance opens the door for identifying targeted treatment strategies with the aim of designing optimized interventions for neuro-musculoskeletal disorders.

bioengineering↗