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Biology subjects

Breuil, L.

Publications and source records attributed to Breuil, L..

2 recordsLinked to original sources

Organ on chip model of respiratory vascular interactions under COPD relevant oxidative stress

Oxidative stress-induced airway injury contributes to chronic obstructive pulmonary disease (COPD). Cardiovascular complications increase COPD morbidity and mortality, but mechanistic links between airway injury and vascular dysfunction remain unclear, largely due to limitations of in vitro models that fail to replicate the multicellular lung environment. We developed REVAS, a modular organ-on-chip platform to study human respiratory-vascular cell-cell interactions at baseline and under oxidative stress conditions. REVAS consists of two respiratory chips hosting airway epithelium and microvascular endothelium, and a vascular chip hosting pulmonary artery endothelial cells co-cultured with vascular support cells, including smooth muscle cells, pericytes and fibroblasts. We studied effects of vascular support and respiratory cells on vascular endothelial phenotype at baseline and under H2O2-induced epithelial oxidative stress using functional assays, proteomic and transcriptomic analyses. Multicellular environment enhanced vascular endothelial barrier function and promoted respiratory and vascular cell differentiation at baseline. Mural cells altered endothelial cell-matrix interactions, metabolism and cytoskeletal remodelling, while respiratory cells promoted endothelial aerobic respiration and quiescent phenotype. Epithelial oxidative stress triggered inflammatory gene expression across all respiratory and vascular cells alongside apoptotic, reparative and pro-angiogenic signalling in endothelial and mural cells, accompanied by increased release of COPD-relevant cytokines and chemokines, including IL-6, TNF-/{beta}, IL-8, CCL5, CXCL9, PDGF, TGF-{beta}. Comparative analyses with COPD endothelial datasets confirmed that REVAS recapitulates key features of disease-associated endothelial dysfunction. These findings demonstrate that airway epithelial injury drives downstream vascular responses linked to inflammation and vascular remodelling, establishing REVAS as a human-relevant platform for mechanistic and therapeutic evaluation of cell-cell interactions in COPD and related lung diseases. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=164 HEIGHT=200 SRC="FIGDIR/small/730087v1_ufig1.gif" ALT="Figure 1"> View larger version (59K): org.highwire.dtl.DTLVardef@e29fd8org.highwire.dtl.DTLVardef@6c3d22org.highwire.dtl.DTLVardef@21a53forg.highwire.dtl.DTLVardef@e7f432_HPS_FORMAT_FIGEXP M_FIG C_FIG REVAS: a microfluidic platform developed to model multicellular interactions between airway epithelium and pulmonary vasculature under basal and oxidative stress. COPD: Chronic Obstructive Pulmonary Disease; EMT: endothelial-to-mesenchymal transition; HsEpCs: human small airway epithelial cells; HPMVECs: human pulmonary microvascular endothelial cells; HPAECs: human pulmonary artery endothelial cells; HPASMCs: human pulmonary artery smooth mucle cells; HPFs: human pulmonary fibcroblasts; HPCs: human pericytes.

bioengineering↗

Acute Smurf mortality and inter-phase dependence in Drosophila and mice identified through comprehensive modelling and statistical analysis of two-phase ageing

Ageing is traditionally conceived as a continuous process of progressive physiological decline. However, recent evidence across species suggests that ageing may instead proceed through distinct phases. Using state-of-the-art statistical methods, we develop a rigorous analysis of longitudinal survival data from 1,159 individually tracked female Drosophila melanogaster. This data-driven analysis leads us to introduce a new parametric model of transition rates within the two-phase ageing framework. Flies were monitored using the Smurf assay, which detects increased intestinal permeability through leakage of an ingested blue dye, and is a strong biological marker of ageing. The Smurf phenotype identifies a sharp transition from a non-Smurf state to a Smurf state that precedes death. Our results yield three key findings. First, the Smurf transition rate follows a Gompertz-Makeham law, increasing exponentially with age. Second, contrary to previous constant-rate assumptions, newly transitioned Smurf flies exhibit remarkably high mortality - approximately 40% die within 24 hours - followed by an exponential decline in death rate that stabilises to a lower constant baseline. Third, we identified a mild but statistically significant negative dependence between time spent non-Smurf and subsequent Smurf lifespan. Our best-fit model captures a potential bimodal nature of mortality curves using simple, biologically interpretable functions. Validation using data from two mouse strains confirms the broader applicability of this framework. These results establish a quantitative foundation for the two-phase ageing paradigm and highlight a critical period of vulnerability immediately following the physiological transition to frailty.

systems biology↗