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The lung parenchyma-consisting of gas-filled alveoli, vasculature, and connective tissue-is the site for gas exchange in the lung and plays a critical role in a number of chronic lung diseases. In vitro models of lung parenchyma can, therefore, provide valuable platforms for the study of lung biology in health and disease. Yet modeling such a complex tissue requires integrating multiple components, including biochemical cues from the extracellular environment, geometrically defined multicellular interactions, and dynamic mechanical inputs such as the cyclic stretch of breathing. In this chapter, we provide an overview of the broad spectrum of model systems that have been developed to recapitulate one or more features of lung parenchyma, and some of the scientific advances generated by those models. We discuss the use of both synthetic and naturally derived hydrogel materials, precision-cut lung slices, organoids, and lung-on-a-chip devices, with perspectives on the strengths, weaknesses, and potential future directions of these engineered systems.
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http://dx.doi.org/10.1007/978-3-031-26625-6_9 | DOI Listing |
Biochem Soc Trans
September 2025
Department of Biochemistry, McGill University, Montréal, QC, Canada.
The MET receptor tyrosine kinase is a pivotal regulator of cellular survival, motility, and proliferation. Mutations leading to skipping of exon 14 (METΔex14) within the juxtamembrane domain of MET impair receptor degradation and prolong oncogenic signaling, contributing significantly to tumor progression across multiple cancer types. METΔex14 mutations are associated with aggressive clinical behavior, therapeutic resistance, and poor outcomes.
View Article and Find Full Text PDFACS Nano
September 2025
Department of Emergency and Critical Care Medicine, The Fourth Affiliated Hospital of Soochow University, Suzhou 215124, China.
Acute lung injury (ALI) is characterized by the excessive accumulation of reactive oxygen species (ROS), which triggers a severe inflammatory cascade and the destruction of the alveolar-capillary barrier, leading to respiratory failure and life-threatening outcomes. Considering the limitations and adverse effects associated with current therapeutic interventions, developing effective and safe strategies that target the complex pathophysiological mechanisms of ALI is crucial for improving patient outcomes. Herein, we developed an inhalable, multifunctional nanotherapeutic (MSCNVs@CAT) by encapsulating catalase (CAT) in mesenchymal-stem-cell-derived nanovesicles (MSCNVs).
View Article and Find Full Text PDFPLoS One
September 2025
Institute of Computational Science and Technology, Guangzhou University, Guangzhou, China.
MicroRNAs (miRNAs) are critical regulators of gene expression in cancer biology, yet their spatial dynamics within tumor microenvironments (TMEs) remain underexplored due to technical limitations in current spatial transcriptomics (ST) technologies. To address this gap, we present STmiR, a novel XGBoost-based framework for spatially resolved miRNA activity prediction. STmiR integrates bulk RNA-seq data (TCGA and CCLE) with spatial transcriptomics profiles to model nonlinear miRNA-mRNA interactions, achieving high predictive accuracy (Spearman's ρ > 0.
View Article and Find Full Text PDFPLoS One
September 2025
Biobank of Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, Jiangsu, PR China.
Heart failure (HF) and lung cancer (LC) often coexist, yet their shared molecular mechanisms are unclear. We analyzed transcriptome data from the NCBI Gene Expression Omnibus (GEO) database (GSE141910, GSE57338) to identify 346 HF‑related differentially expressed genes (DEGs), then combined weighted gene co-expression network analysis (WGCNA) pinpointed 70 hub candidates. Further screening of these 70 hub candidates in TCGA lung cancer cohorts via LASSO, Random Forest, and multivariate Cox regression suggested CYP4B1 as the only independent prognostic marker.
View Article and Find Full Text PDFPLoS One
September 2025
Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Seoul, Korea.
Volumetric modulated arc therapy (VMAT) for lung cancer involves complex multileaf collimator (MLC) motion, which increases sensitivity to interplay effects with tumour motion. Current dynamic conformal arc methods address this issue but may limit the achievable dose distribution optimisation compared with standard VMAT. This study examined the clinical utility of a VMAT technique with monitor unit limits (VMATliMU) to mimic conformal arc delivery and reduce interplay effects while maintaining plan quality.
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