EconPapers    
Economics at your fingertips  
 

Establishing the effects of mesoporous silica nanoparticle properties on in vivo disposition using imaging-based pharmacokinetics

Prashant Dogra, Natalie L. Adolphi, Zhihui Wang, Yu-Shen Lin, Kimberly S. Butler, Paul N. Durfee, Jonas G. Croissant, Achraf Noureddine, Eric N. Coker, Elaine L. Bearer, Vittorio Cristini () and C. Jeffrey Brinker ()
Additional contact information
Prashant Dogra: Houston Methodist Research Institute
Natalie L. Adolphi: University of New Mexico
Zhihui Wang: Houston Methodist Research Institute
Yu-Shen Lin: University of New Mexico
Kimberly S. Butler: University of New Mexico
Paul N. Durfee: University of New Mexico
Jonas G. Croissant: University of New Mexico
Achraf Noureddine: University of New Mexico
Eric N. Coker: Applied Optical and Plasma Science
Elaine L. Bearer: University of New Mexico
Vittorio Cristini: Houston Methodist Research Institute
C. Jeffrey Brinker: University of New Mexico

Nature Communications, 2018, vol. 9, issue 1, 1-14

Abstract: Abstract The progress of nanoparticle (NP)-based drug delivery has been hindered by an inability to establish structure-activity relationships in vivo. Here, using stable, monosized, radiolabeled, mesoporous silica nanoparticles (MSNs), we apply an integrated SPECT/CT imaging and mathematical modeling approach to understand the combined effects of MSN size, surface chemistry and routes of administration on biodistribution and clearance kinetics in healthy rats. We show that increased particle size from ~32- to ~142-nm results in a monotonic decrease in systemic bioavailability, irrespective of route of administration, with corresponding accumulation in liver and spleen. Cationic MSNs with surface exposed amines (PEI) have reduced circulation, compared to MSNs of identical size and charge but with shielded amines (QA), due to rapid sequestration into liver and spleen. However, QA show greater total excretion than PEI and their size-matched neutral counterparts (TMS). Overall, we provide important predictive functional correlations to support the rational design of nanomedicines.

Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.nature.com/articles/s41467-018-06730-z Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-06730-z

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-018-06730-z

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-06730-z