TY - JOUR
T1 - Machine Learning identifies remodeling patterns in human lung extracellular matrix
AU - Emerson, Monica J.
AU - Willacy, Oliver
AU - Madsen, Chris D.
AU - Reuten, Raphael
AU - Brøchner, Christian B.
AU - Lund, Thomas K.
AU - Dahl, Anders B.
AU - Jensen, Thomas H. L.
AU - Erler, Janine T.
AU - Mayorca-Guiliani, Alejandro E.
PY - 2025
Y1 - 2025
N2 - Organ function depends on the three-dimensional integrity of the extracellular matrix (ECM). The structure resulting from the location and association of ECM components is a central regulator of cell behavior, but a dearth of matrix-specific analysis keeps it unresolved. Here, we deploy a high-resolution, 3D ECM mapping method and design a machine-learning powered pipeline to detect and characterize ECM architecture during health and disease. We deploy these tools in the human lung, an organ heavily dependent on ECM structure that can host diseases with different histopathologies. We analyzed segments from healthy, emphysema, usual interstitial pneumonia, sarcoidosis, and COVID-19 patients, and produced a remodeling signature per disease and a health/disease probability map from which we inferred the architecture of healthy and diseased ECM. Our methods demonstrate that exaggerated matrix deposition, or fibrosis, is not a single phenomenon, but a series of disease-specific alterations.
AB - Organ function depends on the three-dimensional integrity of the extracellular matrix (ECM). The structure resulting from the location and association of ECM components is a central regulator of cell behavior, but a dearth of matrix-specific analysis keeps it unresolved. Here, we deploy a high-resolution, 3D ECM mapping method and design a machine-learning powered pipeline to detect and characterize ECM architecture during health and disease. We deploy these tools in the human lung, an organ heavily dependent on ECM structure that can host diseases with different histopathologies. We analyzed segments from healthy, emphysema, usual interstitial pneumonia, sarcoidosis, and COVID-19 patients, and produced a remodeling signature per disease and a health/disease probability map from which we inferred the architecture of healthy and diseased ECM. Our methods demonstrate that exaggerated matrix deposition, or fibrosis, is not a single phenomenon, but a series of disease-specific alterations.
U2 - 10.1016/j.actbio.2024.12.062
DO - 10.1016/j.actbio.2024.12.062
M3 - Journal article
C2 - 39746529
SN - 1742-7061
JO - Acta Biomaterialia
JF - Acta Biomaterialia
ER -