Publications by authors named "M Wygrecka"
dEREGulated pathways: Unraveling the role of epiregulin in skin, kidney and lung fibrosis.
Am J Physiol Cell Physiol
January 2025
The epidermal growth factor receptor (EGFR) signaling pathway is an evolutionary conserved mechanism to control cell behavior during tissue development and homeostasis. Deregulation of this pathway has been associated with abnormal cell behavior, including hyperproliferation, senescence, and an inflammatory cell phenotype, thereby contributing to pathologies across a variety of organs, including kidney, skin, and lung. To date, there are seven distinct EGFR ligands described.
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- Thromboembolic complications in severe COVID-19 are linked to neutrophil-extracellular-trap (NET)-driven immunothrombosis, indicating a significant immune response issue.
- This study analyzes plasma IgA glycosylation during severe SARS-CoV-2 and Influenza A infections, finding changes in glycan structures associated with acute respiratory distress syndrome (ARDS).
- The differences in IgA glycosylation patterns between COVID-19 and Influenza A suggest that these changes could influence immune responses and NET formation, highlighting the need for further exploration of IgA's role in infectious diseases.
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- Fibrosis, especially idiopathic pulmonary fibrosis (IPF), is linked to abnormal healing processes in the lungs that can lead to organ failure, with no current cure.
- The study investigates activated myofibroblasts (aMYFs), their different subtypes, and their roles in lung repair and damage using genetic and transcriptomic analysis in mice, as well as human data.
- Findings reveal that aMYFs can be categorized into four distinct groups, with a specific subset linked to both the progression and resolution of fibrosis, suggesting new potential treatment targets for managing IPF.
Pulmonary fibrosis (PF) can be a fatal disease characterized by progressive lung scarring. It is still poorly understood how the pulmonary endothelium is involved in the disease pathogenesis. Differences of the pulmonary vasculature between patients and donors were analyzed using transmission electron microscopy, immunohistochemistry, and single-cell RNA sequencing.
View Article and Find Full Text PDFBleomycin (BLM)-induced lung injury in mice is a valuable model for investigating the molecular mechanisms that drive inflammation and fibrosis and for evaluating potential therapeutic approaches to treat the disease. Given high variability in the BLM model, it is critical to accurately phenotype the animals in the course of an experiment. In the present study, we aimed to demonstrate the utility of microscopic computed tomography (µCT) imaging combined with an artificial intelligence (AI)-convolutional neural network (CNN)-powered lung segmentation for rapid phenotyping of BLM mice.
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