DataVXAdvanced SciencePaper
journal article·2021-04Open access

Multiscale Co‐reconstruction of Lung Architectures and Inhalable Materials Spatial Distribution

Xian Sun, Xiaochuan Zhang, Xiaohong Ren, Hongyu Sun, Li Wu, Caifen Wang, Xiaohui Ye, Peter York, Zhaobing Gao, Hualiang Jiang, Jiwen Zhang, Xianzhen Yin

Advanced Science· Volume 8· Issue 8
Publisher pageOpen full text
Source abstract

Abstract

Abstract The effective pulmonary deposition of inhaled particulate carriers loaded with drugs is a prerequisite for therapeutic effects of drug delivery via inhalation route. Revealing the sophisticated lung scaffold and intrapulmonary distribution of particles at three‐dimensional (3D), in‐situ, and single‐particle level remains a fundamental and critical challenge for dry powder inhalation in pre‐clinical research. Here, taking advantage of the micro optical sectioning tomography system, the high‐precision cross‐scale visualization of entire lung anatomy is obtained. Then, co‐localized lung‐wide datasets of both cyto‐architectures and fluorescent particles are collected at full scale with the resolution down to individual particles. The precise spatial distribution pattern reveals the region‐specific distribution and structure‐associated deposition of the inhalable particles in lungs, which is undetected by previous methods. Overall, this research delivers comprehensive and high‐resolution 3D detection of pulmonary drug delivery vectors and provides a novel strategy to evaluate materials distribution for drug delivery.
Source: crossref · Quality: baseline

Research context

Materials processing

OpenAlex topics: Inhalation and Respiratory Drug Delivery · Aerosol Filtration and Electrostatic Precipitation

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Center for MOST and Image Fusion Analysis Shanghai Institute of Materia Medica Chinese Academy of Sciences Shanghai 201210 China

Center for Drug Delivery Systems Shanghai Institute of Materia Medica Chinese Academy of Sciences Shanghai 201210 China

University of Chinese Academy of Sciences Beijing 100049 China

School of Pharmacy East China University of Science and Technology Shanghai 200237 China

CAS Key Laboratory of Receptor Research Shanghai Institute of Materia Medica Chinese Academy of Sciences Shanghai 201203 China

School of Information Science and Technology University of Science and Technology of China Hefei 230027 China

Shanghai Institute for Advanced Immunochemical Studies School of Life Science and Technology ShanghaiTech University Shanghai 200031 China

School of Pharmacy University of Bradford Bradford BD71DP UK

NMPA Key Laboratory for Quality Research and Evaluation of Pharmaceutical Excipients National Institutes for Food and Drug Control Beijing 100050 China

Funding

Youth Innovation Promotion Association of the Chinese Academy of Sciences · National Natural Science Foundation of China

References (38)

Show source-provided references
1. 10.1016/S0140-6736(12)61728-010.1016/S0140-6736(12)61728-0 ↗
2. 10.4155/tde-2017-003710.4155/tde-2017-0037 ↗
3. 10.1007/s11095-012-0891-510.1007/s11095-012-0891-5 ↗
4. 10.3390/ijms1504585210.3390/ijms15045852 ↗
5. 10.1016/j.molonc.2010.05.00210.1016/j.molonc.2010.05.002 ↗
6. 10.1042/BSR2017130110.1042/BSR20171301 ↗
7. 10.1002/mrm.2646310.1002/mrm.26463 ↗
8. 10.1177/204589401988361310.1177/2045894019883613 ↗
9. 10.1515/revneuro-2014-003110.1515/revneuro-2014-0031 ↗
10. 10.1016/j.pupt.2011.07.00310.1016/j.pupt.2011.07.003 ↗
11. 10.1016/B978-1-4377-0906-3.00006-710.1016/B978-1-4377-0906-3.00006-7 ↗
12. 10.1016/j.cell.2019.11.01310.1016/j.cell.2019.11.013 ↗
13. 10.1016/j.jconrel.2008.11.01810.1016/j.jconrel.2008.11.018 ↗
14. 10.1016/j.jconrel.2019.06.03510.1016/j.jconrel.2019.06.035 ↗
15. 10.1248/bpb.b17-0034810.1248/bpb.b17-00348 ↗
16. 10.1159/00034826910.1159/000348269 ↗
17. 10.1039/C4RA02861A10.1039/C4RA02861A ↗
18. 10.1089/08942680376901766810.1089/089426803769017668 ↗
19. 10.1016/j.tiv.2018.09.01310.1016/j.tiv.2018.09.013 ↗
20. 10.1111/jmi.1205810.1111/jmi.12058 ↗
21. 10.1016/j.semcdb.2017.09.02410.1016/j.semcdb.2017.09.024 ↗
22. 10.1115/1.313856710.1115/1.3138567 ↗
23. 10.1007/s10544-016-0090-y10.1007/s10544-016-0090-y ↗
24. 10.1016/j.ijpharm.2019.04.03010.1016/j.ijpharm.2019.04.030 ↗
25. 10.1016/j.ijpharm.2016.09.02910.1016/j.ijpharm.2016.09.029 ↗
26. 10.1039/C7RA02306E10.1039/C7RA02306E ↗
27. 10.1016/j.jaerosci.2011.05.00710.1016/j.jaerosci.2011.05.007 ↗
28. 10.1016/j.jconrel.2014.04.05510.1016/j.jconrel.2014.04.055 ↗
29. 10.1038/srep1407110.1038/srep14071 ↗
30. Chhabra S. · J. Biomech. Eng. · 2010 · 132
31. 10.1016/B978-0-12-802900-8.00009-910.1016/B978-0-12-802900-8.00009-9 ↗
32. 10.1021/acs.cgd.6b0165810.1021/acs.cgd.6b01658 ↗
33. 10.1126/science.119177610.1126/science.1191776 ↗
34. 10.1016/j.ejps.2018.08.01010.1016/j.ejps.2018.08.010 ↗
35. 10.1002/jps.1028510.1002/jps.10285 ↗
36. Gong H. · Nat. Commun. · 2016 · 7
37. 10.1016/j.neuroimage.2013.02.00510.1016/j.neuroimage.2013.02.005 ↗
38. 10.1093/nsr/nwz12410.1093/nsr/nwz124 ↗