LungVis 1.0: an automatic AI-powered 3D imaging ecosystem unveils spatial profiling of nanoparticle delivery and acinar migration of lung macrophages

Abstract Targeted (nano-)drug delivery is essential for treating respiratory diseases, which are often confined to distinct lung regions. However, spatio-temporal profiling of drugs or nanoparticles (NPs) and their interactions with lung macrophages remains unresolved. Here, we present LungVis 1.0,...

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Main Authors: Lin Yang, Qiongliang Liu, Pramod Kumar, Arunima Sengupta, Ali Farnoud, Ruolin Shen, Darya Trofimova, Sebastian Ziegler, Neda Davoudi, Ali Doryab, Ali Önder Yildirim, Markus E. Diefenbacher, Herbert B. Schiller, Daniel Razansky, Marie Piraud, Gerald Burgstaller, Wolfgang G. Kreyling, Fabian Isensee, Markus Rehberg, Tobias Stoeger, Otmar Schmid
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-024-54267-1
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author Lin Yang
Qiongliang Liu
Pramod Kumar
Arunima Sengupta
Ali Farnoud
Ruolin Shen
Darya Trofimova
Sebastian Ziegler
Neda Davoudi
Ali Doryab
Ali Önder Yildirim
Markus E. Diefenbacher
Herbert B. Schiller
Daniel Razansky
Marie Piraud
Gerald Burgstaller
Wolfgang G. Kreyling
Fabian Isensee
Markus Rehberg
Tobias Stoeger
Otmar Schmid
author_facet Lin Yang
Qiongliang Liu
Pramod Kumar
Arunima Sengupta
Ali Farnoud
Ruolin Shen
Darya Trofimova
Sebastian Ziegler
Neda Davoudi
Ali Doryab
Ali Önder Yildirim
Markus E. Diefenbacher
Herbert B. Schiller
Daniel Razansky
Marie Piraud
Gerald Burgstaller
Wolfgang G. Kreyling
Fabian Isensee
Markus Rehberg
Tobias Stoeger
Otmar Schmid
author_sort Lin Yang
collection DOAJ
description Abstract Targeted (nano-)drug delivery is essential for treating respiratory diseases, which are often confined to distinct lung regions. However, spatio-temporal profiling of drugs or nanoparticles (NPs) and their interactions with lung macrophages remains unresolved. Here, we present LungVis 1.0, an AI-powered imaging ecosystem that integrates light sheet fluorescence microscopy with deep learning-based image analysis pipelines to map NP deposition and dosage holistically and quantitatively across bronchial and alveolar (acinar) regions in murine lungs for widely-used bulk-liquid and aerosol-based delivery methods. We demonstrate that bulk-liquid delivery results in patchy NP distribution with elevated bronchial doses, whereas aerosols achieve uniform deposition reaching distal alveoli. Furthermore, we reveal that lung tissue-resident macrophages (TRMs) are dynamic, actively patrolling and redistributing NPs within alveoli, contesting the conventional paradigm of TRMs as static entities. LungVis 1.0 provides an advanced framework for exploring pulmonary delivery dynamics and deepening insights into TRM-mediated lung immunity.
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series Nature Communications
spelling doaj-art-09230b937a684643ae6ba3af933a693d2024-12-01T12:34:19ZengNature PortfolioNature Communications2041-17232024-11-0115112210.1038/s41467-024-54267-1LungVis 1.0: an automatic AI-powered 3D imaging ecosystem unveils spatial profiling of nanoparticle delivery and acinar migration of lung macrophagesLin Yang0Qiongliang Liu1Pramod Kumar2Arunima Sengupta3Ali Farnoud4Ruolin Shen5Darya Trofimova6Sebastian Ziegler7Neda Davoudi8Ali Doryab9Ali Önder Yildirim10Markus E. Diefenbacher11Herbert B. Schiller12Daniel Razansky13Marie Piraud14Gerald Burgstaller15Wolfgang G. Kreyling16Fabian Isensee17Markus Rehberg18Tobias Stoeger19Otmar Schmid20Institute of Lung Health and Immunity (LHI), Helmholtz Munich, Comprehensive Pneumology Center (CPC-M), Member of the German Center for Lung Research (DZL)Institute of Lung Health and Immunity (LHI), Helmholtz Munich, Comprehensive Pneumology Center (CPC-M), Member of the German Center for Lung Research (DZL)Institute of Lung Health and Immunity (LHI), Helmholtz Munich, Comprehensive Pneumology Center (CPC-M), Member of the German Center for Lung Research (DZL)Institute of Lung Health and Immunity (LHI), Helmholtz Munich, Comprehensive Pneumology Center (CPC-M), Member of the German Center for Lung Research (DZL)Institute of Lung Health and Immunity (LHI), Helmholtz Munich, Comprehensive Pneumology Center (CPC-M), Member of the German Center for Lung Research (DZL)Helmholtz AI, Helmholtz MunichHelmholtz Imaging, German Cancer Research Center (DKFZ)Helmholtz Imaging, German Cancer Research Center (DKFZ)Institute of Pharmacology and Toxicology and Institute for Biomedical Engineering, Faculty of Medicine, University of ZurichInstitute of Lung Health and Immunity (LHI), Helmholtz Munich, Comprehensive Pneumology Center (CPC-M), Member of the German Center for Lung Research (DZL)Institute of Lung Health and Immunity (LHI), Helmholtz Munich, Comprehensive Pneumology Center (CPC-M), Member of the German Center for Lung Research (DZL)Institute of Lung Health and Immunity (LHI), Helmholtz Munich, Comprehensive Pneumology Center (CPC-M), Member of the German Center for Lung Research (DZL)Institute of Lung Health and Immunity (LHI), Helmholtz Munich, Comprehensive Pneumology Center (CPC-M), Member of the German Center for Lung Research (DZL)Institute of Pharmacology and Toxicology and Institute for Biomedical Engineering, Faculty of Medicine, University of ZurichHelmholtz AI, Helmholtz MunichInstitute of Lung Health and Immunity (LHI), Helmholtz Munich, Comprehensive Pneumology Center (CPC-M), Member of the German Center for Lung Research (DZL)Institute of Lung Health and Immunity (LHI), Helmholtz Munich, Comprehensive Pneumology Center (CPC-M), Member of the German Center for Lung Research (DZL)Helmholtz Imaging, German Cancer Research Center (DKFZ)Institute of Lung Health and Immunity (LHI), Helmholtz Munich, Comprehensive Pneumology Center (CPC-M), Member of the German Center for Lung Research (DZL)Institute of Lung Health and Immunity (LHI), Helmholtz Munich, Comprehensive Pneumology Center (CPC-M), Member of the German Center for Lung Research (DZL)Institute of Lung Health and Immunity (LHI), Helmholtz Munich, Comprehensive Pneumology Center (CPC-M), Member of the German Center for Lung Research (DZL)Abstract Targeted (nano-)drug delivery is essential for treating respiratory diseases, which are often confined to distinct lung regions. However, spatio-temporal profiling of drugs or nanoparticles (NPs) and their interactions with lung macrophages remains unresolved. Here, we present LungVis 1.0, an AI-powered imaging ecosystem that integrates light sheet fluorescence microscopy with deep learning-based image analysis pipelines to map NP deposition and dosage holistically and quantitatively across bronchial and alveolar (acinar) regions in murine lungs for widely-used bulk-liquid and aerosol-based delivery methods. We demonstrate that bulk-liquid delivery results in patchy NP distribution with elevated bronchial doses, whereas aerosols achieve uniform deposition reaching distal alveoli. Furthermore, we reveal that lung tissue-resident macrophages (TRMs) are dynamic, actively patrolling and redistributing NPs within alveoli, contesting the conventional paradigm of TRMs as static entities. LungVis 1.0 provides an advanced framework for exploring pulmonary delivery dynamics and deepening insights into TRM-mediated lung immunity.https://doi.org/10.1038/s41467-024-54267-1
spellingShingle Lin Yang
Qiongliang Liu
Pramod Kumar
Arunima Sengupta
Ali Farnoud
Ruolin Shen
Darya Trofimova
Sebastian Ziegler
Neda Davoudi
Ali Doryab
Ali Önder Yildirim
Markus E. Diefenbacher
Herbert B. Schiller
Daniel Razansky
Marie Piraud
Gerald Burgstaller
Wolfgang G. Kreyling
Fabian Isensee
Markus Rehberg
Tobias Stoeger
Otmar Schmid
LungVis 1.0: an automatic AI-powered 3D imaging ecosystem unveils spatial profiling of nanoparticle delivery and acinar migration of lung macrophages
Nature Communications
title LungVis 1.0: an automatic AI-powered 3D imaging ecosystem unveils spatial profiling of nanoparticle delivery and acinar migration of lung macrophages
title_full LungVis 1.0: an automatic AI-powered 3D imaging ecosystem unveils spatial profiling of nanoparticle delivery and acinar migration of lung macrophages
title_fullStr LungVis 1.0: an automatic AI-powered 3D imaging ecosystem unveils spatial profiling of nanoparticle delivery and acinar migration of lung macrophages
title_full_unstemmed LungVis 1.0: an automatic AI-powered 3D imaging ecosystem unveils spatial profiling of nanoparticle delivery and acinar migration of lung macrophages
title_short LungVis 1.0: an automatic AI-powered 3D imaging ecosystem unveils spatial profiling of nanoparticle delivery and acinar migration of lung macrophages
title_sort lungvis 1 0 an automatic ai powered 3d imaging ecosystem unveils spatial profiling of nanoparticle delivery and acinar migration of lung macrophages
url https://doi.org/10.1038/s41467-024-54267-1
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