Lung macro- and microvascular endothelial cells exhibit unique functional attributes, including signal transduction and barrier properties. We therefore sought to identify structural and functional features of endothelial cells that discriminate their phenotypes in the fully differentiated lung. Rat lung macro- (PAEC) and microvascular (PMVEC) endothelial cells each exhibited expression of typical markers. Screening for reactivity with nine different lectins revealed that Glycine max and Griffonia (Bandeiraea) simplicifolia preferentially bound microvascular endothelia whereas Helix pomatia preferentially bound macrovascular endothelia. Apposition between the apical plasmalemma and endoplasmic reticulum was closer in PAECs (8 nm) than in PMVECs (87 nm), implicating this coupling distance in the larger store operated calcium entry responses observed in macrovascular cells. PMVECs exhibited a faster growth rate than did PAECs and, once a growth program was initiated by serum, PMVECs sustained growth in the absence of serum. Thus, PAECs and PMVECs differ in their structure and function, even under similar environmental conditions.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.mvr.2003.11.006 | DOI Listing |
Eur J Clin Invest
December 2024
First Department of Cardiology, AHEPA University Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Background: Adults with congenital heart disease (ACHD) can face a lifelong risk of premature cardiovascular events. Endothelial dysfunction and arterial stiffness may be some of the key mechanisms involved. Early identification of endothelial damage in ACHD could be crucial to mitigate the adverse events.
View Article and Find Full Text PDFBMC Med Inform Decis Mak
December 2024
School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Background: [F] Fluorodeoxyglucose (FDG) PET-CT is a clinical imaging modality widely used in diagnosing and staging lung cancer. The clinical findings of PET-CT studies are contained within free text reports, which can currently only be categorised by experts manually reading them. Pre-trained transformer-based language models (PLMs) have shown success in extracting complex linguistic features from text.
View Article and Find Full Text PDFPac Symp Biocomput
December 2024
Department of Computer Science, National Yang Ming Chiao Tung University Hsinchu, 300093, Taiwan, ROC, Taiwan.
The primary challenge in reporting cancer cases lies in the labor-intensive and time-consuming process of manually reviewing numerous reports. Current methods predominantly rely on rule-based approaches or custom-supervised learning models, which predict diagnostic codes based on a single pathology report per patient. Although these methods show promising evaluation results, their biased outcomes in controlled settings may hinder adaption to real-world reporting workflows.
View Article and Find Full Text PDFBMC Health Serv Res
November 2024
Departamento de Medicina Preventiva, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Av Dr Arnaldo 455, CEP: 01246903, Sao Paulo, SP, Brazil.
Background: Lung cancer is one of the leading causes of morbidity and mortality in Brazil. Radiotherapy is an important therapeutic option, but the techniques used remain subjects of discussion. In this study, we compared the costs of conventional radiotherapy (CRT) and stereotactic ablative radiotherapy (SABR) in the treatment of early-stage non-small cell lung cancer (NSCLC).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!