Back

Supramolecular Organization Predicts Protein Nanoparticle Delivery to Neutrophils for Acute Lung Inflammation Diagnosis and Treatment

Myerson, J. W.; Patel, P. N.; Habibi, N.; Walsh, L. R.; Lee, Y.-W.; Luther, D. C.; Ferguson, L. T.; Zaleski, M. H.; Zamora, M. E.; Marcos-Contreras, O. A.; Glassman, P. M.; Johnston, I.; Hood, E. D.; Shuvaeva, T.; Gregory, J. V.; Kiseleva, R. Y.; Nong, J.; Rubey, K. M.; Greineder, C. F.; Mitragotri, S.; Worthen, G. S.; Rotello, V. M.; Lahann, J.; Muzykantov, V. R.; Brenner, J. S.

2020-04-18 bioengineering
10.1101/2020.04.15.037564 bioRxiv
Show abstract

Acute lung inflammation has severe morbidity, as seen in COVID-19 patients. Lung inflammation is accompanied or led by massive accumulation of neutrophils in pulmonary capillaries ("margination"). We sought to identify nanostructural properties that predispose nanoparticles to accumulate in pulmonary marginated neutrophils, and therefore to target severely inflamed lungs. We designed a library of nanoparticles and conducted an in vivo screen of biodistributions in naive mice and mice treated with lipopolysaccharides. We found that supramolecular organization of protein in nanoparticles predicts uptake in inflamed lungs. Specifically, nanoparticles with agglutinated protein (NAPs) efficiently home to pulmonary neutrophils, while protein nanoparticles with symmetric structure (e.g. viral capsids) are ignored by pulmonary neutrophils. We validated this finding by engineering protein-conjugated liposomes that recapitulate NAP targeting to neutrophils in inflamed lungs. We show that NAPs can diagnose acute lung injury in SPECT imaging and that NAP-like liposomes can mitigate neutrophil extravasation and pulmonary edema arising in lung inflammation. Finally, we demonstrate that ischemic ex vivo human lungs selectively take up NAPs, illustrating translational potential. This work demonstrates that structure-dependent interactions with neutrophils can dramatically alter the biodistribution of nanoparticles, and NAPs have significant potential in detecting and treating respiratory conditions arising from injury or infections.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
ACS Nano
113 papers in training set
Top 0.1%
30.2%
2
Journal of Controlled Release
44 papers in training set
Top 0.2%
6.5%
3
Advanced Materials
56 papers in training set
Top 0.2%
5.4%
4
Biomaterials
84 papers in training set
Top 0.3%
5.3%
5
ACS Applied Materials & Interfaces
39 papers in training set
Top 0.2%
4.2%
50% of probability mass above
6
Advanced Functional Materials
46 papers in training set
Top 0.4%
3.4%
7
Small
78 papers in training set
Top 0.5%
3.1%
8
Nanoscale
42 papers in training set
Top 0.2%
3.1%
9
Nano Letters
71 papers in training set
Top 0.4%
3.1%
10
Nature Communications
5641 papers in training set
Top 37%
3.0%
11
ACS Biomaterials Science & Engineering
37 papers in training set
Top 0.3%
2.7%
12
Science Advances
1243 papers in training set
Top 13%
2.7%
13
Advanced Therapeutics
17 papers in training set
Top 0.1%
1.9%
14
Advanced Science
286 papers in training set
Top 5%
1.7%
15
Bioengineering & Translational Medicine
21 papers in training set
Top 0.3%
1.7%
16
Advanced Healthcare Materials
85 papers in training set
Top 1.0%
1.7%
17
Biomaterials Science
24 papers in training set
Top 0.4%
1.7%
18
Nanoscale Advances
15 papers in training set
Top 0.2%
1.6%
19
Bioconjugate Chemistry
20 papers in training set
Top 0.2%
1.3%
20
Nature Nanotechnology
32 papers in training set
Top 0.5%
1.1%
21
Journal of Extracellular Vesicles
55 papers in training set
Top 0.5%
1.0%
22
Acta Biomaterialia
92 papers in training set
Top 1%
0.8%
23
Nature Biotechnology
172 papers in training set
Top 4%
0.8%
24
ACS Central Science
71 papers in training set
Top 2%
0.6%