LungVis 1.0: an automatic AI-powered 3D imaging ecosystem unveils spatial profiling of nanoparticle delivery and acinar migration of lung macrophages
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.
Authors
- Ruolin Shen
- Herbert B. Schiller (ORCID: https://orcid.org/0000-0001-9498-7034)
- Qiongliang Liu (ORCID: https://orcid.org/0009-0000-6113-6057)
- Ali Doryab (ORCID: https://orcid.org/0000-0002-5976-5361)
- Marie Piraud (ORCID: https://orcid.org/0000-0002-4917-2458)
- Markus Rehberg (ORCID: https://orcid.org/0000-0001-7314-6332)
- Sebastian Ziegler (ORCID: https://orcid.org/0000-0002-1693-5586)
- Ali Farnoud (ORCID: https://orcid.org/0000-0002-9298-5497)
- Wolfgang G. Kreyling (ORCID: https://orcid.org/0000-0002-0702-6567)
- Markus E. Diefenbacher (ORCID: https://orcid.org/0000-0002-7402-7949)
- Darya Trofimova
- Neda Davoudi (ORCID: https://orcid.org/0000-0002-0900-2251)
- Otmar Schmid (ORCID: https://orcid.org/0000-0002-8012-7786)
- Fabian Isensee (ORCID: https://orcid.org/0000-0002-3519-5886)
- Lin Yang (ORCID: https://orcid.org/0000-0003-0469-9288)
- Daniel Razansky (ORCID: https://orcid.org/0000-0001-8676-0964)
- Gerald Burgstaller (ORCID: https://orcid.org/0000-0002-7121-2567)
- Ali Önder Yildirim (ORCID: https://orcid.org/0000-0003-1969-480X)
- Tobias Stoeger (ORCID: https://orcid.org/0000-0002-2790-0389)
- Pramod Kumar (ORCID: https://orcid.org/0000-0002-6315-0538)
- Arunima Sengupta (ORCID: https://orcid.org/0000-0002-1617-3358)
Institutions
- German Cancer Research Center (DE)
- Shanghai Jiao Tong University (CN)
- University of Zurich (CH)
- Heidelberg University (DE)
- Helmholtz Zentrum München (DE)
- ETH Zurich (CH)
- Institute for Biomedical Engineering (CH)
- Munich Security Conference (DE)
- German Center for Lung Research (DE)
- Shanghai First People's Hospital (CN)
- Ludwig-Maximilians-Universität München (DE)
Publication Details
- Journal
- Nature Communications
- Published
- 2024-11-27
- DOI
- https://doi.org/10.1038/s41467-024-54267-1
- Citations
- 19
- Primary Topic
- Inhalation and Respiratory Drug Delivery
- Type
- article
- Field-Weighted Citation Impact
- 7.96