Iterative nanoparticle bioengineering enabled by x-ray fluorescence imaging
Saladino, Giovanni M. ; Brodin, Bertha ; Kakadiya, Ronak LU
; Toprak, Muhammet S.
and Hertz, Hans M.
(2024)
In Science Advances
10(12).
p.2267-2267
- Abstract
Nanoparticles (NPs) are currently developed for drug delivery and molecular imaging. However, they often get intercepted before reaching their target, leading to low targeting efficacy and signal-to-noise ratio. They tend to accumulate in organs like lungs, liver, kidneys, and spleen. The remedy is to iteratively engineer NP surface properties and administration strategies, presently a time-consuming process that includes organ dissection at different time points. To improve this, we propose a rapid iterative approach using whole-animal x-ray fluorescence (XRF) imaging to systematically evaluate NP distribution in vivo. We applied this method to molybdenum-based NPs and clodronate liposomes for tumor targeting with transient macrophage... (More)
Nanoparticles (NPs) are currently developed for drug delivery and molecular imaging. However, they often get intercepted before reaching their target, leading to low targeting efficacy and signal-to-noise ratio. They tend to accumulate in organs like lungs, liver, kidneys, and spleen. The remedy is to iteratively engineer NP surface properties and administration strategies, presently a time-consuming process that includes organ dissection at different time points. To improve this, we propose a rapid iterative approach using whole-animal x-ray fluorescence (XRF) imaging to systematically evaluate NP distribution in vivo. We applied this method to molybdenum-based NPs and clodronate liposomes for tumor targeting with transient macrophage depletion, leading to reduced accumulations in lungs and liver and eventual tumor detection. XRF computed tomography (XFCT) provided 3D insight into NP distribution within the tumor. We validated the results using a multiscale imaging approach with dye-doped NPs and gene expression analysis for nanotoxicological profiling. XRF imaging holds potential for advancing therapeutics and diagnostics in preclinical pharmacokinetic studies.
(Less)
- author
- Saladino, Giovanni M.
; Brodin, Bertha
; Kakadiya, Ronak
LU
; Toprak, Muhammet S.
and Hertz, Hans M.
- publishing date
- 2024-03-22
- type
- Contribution to journal
- publication status
- published
- in
- Science Advances
- volume
- 10
- issue
- 12
- pages
- 2267 - 2267
- publisher
- American Association for the Advancement of Science (AAAS)
- external identifiers
-
- scopus:85188869462
- pmid:38517973
- ISSN
- 2375-2548
- DOI
- 10.1126/sciadv.adl2267
- language
- English
- LU publication?
- no
- id
- c7cb62c1-7ddd-4269-941d-1772b002f559
- date added to LUP
- 2024-04-05 14:30:18
- date last changed
- 2025-07-13 10:52:55
@article{c7cb62c1-7ddd-4269-941d-1772b002f559,
abstract = {{<p>Nanoparticles (NPs) are currently developed for drug delivery and molecular imaging. However, they often get intercepted before reaching their target, leading to low targeting efficacy and signal-to-noise ratio. They tend to accumulate in organs like lungs, liver, kidneys, and spleen. The remedy is to iteratively engineer NP surface properties and administration strategies, presently a time-consuming process that includes organ dissection at different time points. To improve this, we propose a rapid iterative approach using whole-animal x-ray fluorescence (XRF) imaging to systematically evaluate NP distribution in vivo. We applied this method to molybdenum-based NPs and clodronate liposomes for tumor targeting with transient macrophage depletion, leading to reduced accumulations in lungs and liver and eventual tumor detection. XRF computed tomography (XFCT) provided 3D insight into NP distribution within the tumor. We validated the results using a multiscale imaging approach with dye-doped NPs and gene expression analysis for nanotoxicological profiling. XRF imaging holds potential for advancing therapeutics and diagnostics in preclinical pharmacokinetic studies.</p>}},
author = {{Saladino, Giovanni M. and Brodin, Bertha and Kakadiya, Ronak and Toprak, Muhammet S. and Hertz, Hans M.}},
issn = {{2375-2548}},
language = {{eng}},
month = {{03}},
number = {{12}},
pages = {{2267--2267}},
publisher = {{American Association for the Advancement of Science (AAAS)}},
series = {{Science Advances}},
title = {{Iterative nanoparticle bioengineering enabled by x-ray fluorescence imaging}},
url = {{http://dx.doi.org/10.1126/sciadv.adl2267}},
doi = {{10.1126/sciadv.adl2267}},
volume = {{10}},
year = {{2024}},
}