Publications by authors named "M Christella L G D Thomassen"

Introduction: The effect of muscle glycogen stores on performance during intense short-duration exercises in humans is unclear. We hypothesized that low initial muscle glycogen levels would impair constant-load intense one-legged knee extensor exercise lasting approximately 5 min and human muscle contractile function, as determined by maximal voluntary contraction (MVC), electrically induced single-twitch maximal force, rate of force development (RFD), and rate of relaxation. Furthermore, alter phosphorylation of the Na/K-ATPase (NKA) regulatory proteins AMPK and FXYD1 indicating attenuated NKA activity.

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Objective: We aimed to investigate disease-related and anti-CD20 therapy-related changes in peripheral blood mononuclear cells (PBMCs) from multiple sclerosis (MS) patients compared to healthy controls (HC) using multi-omics single-cell analysis.

Methods: Targeted single-cell sequencing of transcriptomes and epitopes was performed on PBMCs isolated from 64 blood samples collected from MS patients at baseline and at 3 time points following anti-CD20 treatment, alongside HC. Multicolor spectral flow cytometry was performed on 15 of the samples.

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Determining the Homologous Recombination Deficiency (HRD)-status of a malignant tumor is central in predicting patient response to specific treatments. Therefore, precise and cost-effective tools are needed for clinical implementation. HRDetect is widely regarded as a golden standard for determining HRD-status.

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Positron emission tomography-computed tomography (PET-CT) is recommended for response evaluation in aggressive large B-cell lymphoma (LBCL) but cannot detect minimal residual disease (MRD). Circulating tumor DNA (ctDNA) has emerged as a promising biomarker for real-time disease monitoring. This study evaluated longitudinal ctDNA monitoring as an MRD marker in LBCL.

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Background: Prognostic tools for determining patients with indolent breast cancers (BCs) are far from optimal, leading to extensive overtreatment. Several studies have demonstrated mRNAs, lncRNAs and miRNAs to have prognostic potential in BC. Because mRNAs, lncRNAs, and miRNAs capture distinct transcriptomic information, we hypothesized that combining them would improve classification performance.

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