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Kraenkel, N.

Publications and source records attributed to Kraenkel, N..

2 recordsLinked to original sources

Isogenic monocytes improve the responsiveness of hiPSC cardiac spheroids to cardiac stressors

AimsHeart failure remains a leading cause of morbidity and mortality worldwide. Suitable in vitro models to accurately replicate the pathological environment in heart failure with reduced and preserved ejection fraction (HFrEF/HFpEF) are limited, hampering mechanistic studies and drug screening. In particular, these models rarely incorporate immune cells, which play a critical role in heart failure. To address these limitations, we developed an isogenic 3D induced pluripotent stem cell (iPSC)-derived cardiac spheroid model incorporating monocytes. Methods and resultsCardiac spheroids were assembled from three healthy female iPSC lines: three-cell-type (3CT) spheroids consisting of iPSC-derived cardiomyocytes, cardiac fibroblasts, and endothelial cells, and four-cell-type (4CT) spheroids additionally containing monocytes. After six days of culture, established spheroids were treated for 24 h with different known heart failure-associated triggers (glucose & tumour necrosis factor alpha (TNF) or ischaemia with/without reoxygenation). Differences between treated and control 3CT and 4CT spheroids were investigated at the cellular, molecular, and functional levels using confocal microscopy, RNA expression (qPCR and RNA sequencing), protein secretion using proximity extension assay technology (Olink), and functional analyses of beating rate, contraction, and relaxation. The results confirmed successful monocyte integration in 4CT spheroids, and only spheroids with monocytes (4CTs) exhibited changes in beating rate and relaxation duration upon stimulation, highlighting the necessity of incorporating immune cells to successfully mimic heart failure-associated functional changes. Along with a more pronounced global transcriptomic treatment response and inflammatory changes, additional transcriptomic alterations previously linked to heart failure in patients, as well as changes in metabolism, ion channels, and extracellular matrix pathways, were observed in 4CT compared with 3CT spheroids. ConclusionWe showed that immune cell incorporation enhances the functional and transcriptional responses of engineered cardiac tissue to relevant heart failure triggers in vitro and is essential for future studies to elucidate the cellular crosstalk and pathomechanisms. Translational perspectiveHeart failure continues to be a predominant cause of morbidity and mortality, necessitating the development of innovative therapeutic strategies, particularly in light of the rising prevalence of obesity and diabetes mellitus. We introduced an isogenic in vitro spheroid model comprising iPSC-derived cardiomyocytes, cardiac fibroblasts, endothelial cells, and monocytes to examine the effects of heart failure-associated triggers on cardiac tissue. Our findings indicate that spheroids incorporating monocytes exhibit a more pronounced response to heart failure-associated triggers and demonstrate greater differential transcriptional and functional responses than spheroids lacking immune cells. This model

cell biology↗

Concepts and Software Package for Efficient Quality Control in Targeted Metabolomics Studies - MeTaQuaC

Targeted quantitative mass spectrometry metabolite profiling is the workhorse of metabolomics research. Robust and reproducible data is essential for confidence in analytical results and is particularly important with large-scale studies. Commercial kits are now available which use carefully calibrated and validated internal and external standards to provide such reliability. However, they are still subject to processing and technical errors in their use and should be subject to a laboratorys routine quality assurance and quality control measures to maintain confidence in the results. We discuss important systematic and random measurement errors when using these kits and suggest measures to detect and quantify them. We demonstrate how wider analysis of the entire dataset, alongside standard analyses of quality control samples can be used to identify outliers and quantify systematic trends in order to improve downstream analysis. Finally we present the MeTaQuaC software which implements the above concepts and methods for Biocrates kits and creates a comprehensive quality control report containing rich visualization and informative scores and summary statistics. Preliminary unsupervised multivariate analysis methods are also included to provide rapid insight into study variables and groups. MeTaQuaC is provided as an open source R package under a permissive MIT license and includes detailed user documentation.

bioinformatics↗