Publications by authors named "C Vohwinkel"
Article Synopsis
- - Alveolar inflammation is a key feature of acute lung injury (ALI) and is influenced by the interaction between alveolar type II cells (ATII) and alveolar macrophages (AM), with metabolites like lactate playing a significant role in modulating inflammation.
- - Researchers found that increased glycolysis in ATII cells leads to the production of lactate, which encourages AMs to adopt an anti-inflammatory phenotype and helps reduce the severity of ALI in mouse models.
- - The study indicates that lactate's effects in shifting cytokine responses of AMs, combined with the observation that inhibiting lactate production worsens inflammation, highlight a protective mechanism against ALI that could inform potential treatment strategies.
Acute respiratory distress syndrome (ARDS) has approximately 40% in-hospital mortality, and treatment is limited to supportive care. Pneumonia is the underlying etiology in many cases with unrestrained inflammation central to the pathophysiology. We have previously shown that CNP-miR146a, a radical scavenging cerium oxide nanoparticle (CNP) conjugated to the anti-inflammatory microRNA(miR)-146a, reduces bleomycin- and endotoxin-induced acute lung injury (ALI) by decreasing inflammation.
View Article and Find Full Text PDFAcute respiratory distress syndrome (ARDS) remains a significant cause of morbidity and mortality in critically ill patients. Oxidative stress and inflammation play a crucial role in the pathogenesis of ARDS. Extracellular superoxide dismutase (EC-SOD) is abundant in the lung and is an important enzymatic defense against superoxide.
View Article and Find Full Text PDFAcute lung injury (ALI) is a severe form of lung inflammation causing acute respiratory distress syndrome in patients. ALI pathogenesis is closely linked to uncontrolled alveolar inflammation. We hypothesize that specific enzymes of the glycolytic pathway could function as key regulators of alveolar inflammation.
View Article and Find Full Text PDFArticle Synopsis
- Acute respiratory distress syndrome (ARDS) is a serious condition affecting critically ill children, leading to high rates of illness and death, and is diagnosed based on specific clinical signs that appear after its onset.
- Researchers conducted a study on pediatric patients to evaluate the potential of microRNAs as biomarkers for ARDS, utilizing machine learning techniques to categorize patients based on their miRNA levels.
- The study found significant differences in miRNA and metabolite profiles between ARDS patients and controls, suggesting that these biomarkers could help predict ARDS progression and improve patient treatment.