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Zaeh, S.

Publications and source records attributed to Zaeh, S..

2 recordsLinked to original sources

Inherent Biomechanical Properties of the Lung: In vivo-Ex vivo Comparisons in Mice

Mammalian lungs operate within a thoracic "cage" composed of parietal pleura, rib cage, skeletal muscle, and diaphragm, yet clinical ventilator metrics largely reflect the combined mechanics of lung and surrounding structures and the thoracic cage. We hypothesized that thoracic boundary conditions selectively alter measured lung biomechanics. We performed paired pulmonary function testing (FlexiVent) in C57BL6 mice of both sexes spanning development through adulthood, measuring quasi-static pressure-volume behavior and dynamic forced-oscillation parameters in vivo (supine, mechanically ventilated) and again ex vivo in the same lungs. In a subset, we additionally compared in vivo and ex vivo {micro}CT-derived lung volumes, including a pressure-fixed ex vivo protocol using snap freezing at controlled inflation pressure. Quasi-static pressure-volume curves were similar between conditions, with near-identity at higher pressures and only modest divergence at low pressures, consistent with thoracic structures primarily modulating recruitment/de-recruitment rather than intrinsic elastic recoil. Maximal volume at 30 cmH2O showed strong in vivo-ex vivo correlation and minimal bias, and static compliance and PV-loop hysteresis exhibited small biases relative to reported disease-model effect sizes. In contrast, dynamic mechanics demonstrated a clear in vivo elevation of tissue damping (G) with only modest change in tissue elastance (H) and little change in Newtonian resistance (Rn), producing a meaningful increase in hysteresivity ( = G/H). This dissociation implicates frequency-dependent mechanical heterogeneity (e.g., time-constant mismatch/pendelluft) imposed or amplified by nonuniform thoracic loading. Ex vivo {micro}CT enabled reliable whole-lung segmentation and correlated with ex vivo PFT volumes at matched pressures, whereas in vivo volumetry showed weaker agreement. These results indicate that thoracic structures contribute modest restriction but disproportionately increase dynamic dissipation and heterogeneity, suggesting that ex vivo functional testing and oscillometry-like metrics may better detect biomechanical changes inherent to lung parenchyma.

physiology↗

Biologic therapy is associated with selective changes in airway eosinophil subpopulations in severe asthma

RationaleEosinophilic airway inflammation is common in severe asthma and strongly associated with symptoms, exacerbations, and impaired lung function. Although type 2 (T2)-targeted biologics improve outcomes and reduce eosinophils, many patients experience residual symptoms and exacerbations. Emerging evidence suggests that these biologics may differentially affect specific airway eosinophil subpopulations, representing a potential mechanism of suboptimal treatment response. ObjectiveDetermine the effect of biologic treatment on eosinophil subpopulations in adults with severe asthma using in-depth immune profiling with mass cytometry (CyTOF). MethodsFifty adults with severe asthma (28 biologic-naive, 22 on stable-dose biologic therapy for [&ge;]6 months) underwent clinical phenotyping, spirometry, blood sampling, and sputum induction. Twenty-nine sputum samples passed quality control thresholds and were profiled by CyTOF. Manually gated sputum eosinophils were clustered using FlowSOM to identify eosinophil subpopulations, and cluster abundances and marker expression were compared across treatment groups. Measurements and Main ResultsCyTOF revealed treatment-associated shifts in circulating immune cells (lower CD4+ T cells and B cells, higher monocytes) and lower sputum CD8+ T cells. Unsupervised clustering of sputum eosinophils identified eight distinct subpopulations, and selective depletion of Cluster 6 was noted in biologic-treated participants (biologic-naive vs anti-TSLP logFC -4.98, p=0.003; biologic-naive vs anti-IL5 logFC -6.89, p=0.01). Higher Cluster 6 proportion correlated with worse ACT scores (rho = -0.44, p = 0.02) and lung function (FEV1 % predicted: rho = -0.47, p < 0.01; FEV1/FVC: rho = -0.40, p = 0.03). Functionally, Cluster 6 displayed enriched trafficking/activation markers (CCR3/Eotaxin-1, CD69, CD80, CRTH2) and non-T2 inflammatory mediators (TNF, IL-8, TLR7). ConclusionBiologic therapy in severe asthma was associated with selective depletion of a highly activated sputum eosinophil subpopulation with capability to drive both T2 and non-T2 inflammatory pathways. This cluster correlated with worse asthma control and lung function, indicating it may be a biologically important driver of persistent disease and potential biomarker to more accurately predict treatment response.

immunology↗