The DOI matches its Crossref record; 183 of the 183 references it cites were found in a registry or an index.
Imaging macrophages with nanoparticles
Abstract
Nanomaterials have much to offer, not only in deciphering innate immune cell biology and tracking cells, but also in advancing personalized clinical care by providing diagnostic and prognostic information, quantifying treatment efficacy and designing better therapeutics. This Review presents different types of nanomaterial, their biological properties and their applications for imaging macrophages in human diseases, including cancer, atherosclerosis, myocardial infarction, aortic aneurysm, diabetes and other conditions. We anticipate that future needs will include the development of nanomaterials that are specific for immune cell subsets and can be used as imaging surrogates for nanotherapeutics. New in vivo imaging clinical tools for noninvasive macrophage quantification are thus ultimately expected to become relevant to predicting patients' clinical outcome, defining treatment options and monitoring responses to therapy.
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“These organs typically cope relatively well with high SPION accumulation, which can be explained – at least in part – by the fact that the liver is main storage organ for iron in the body [132].”
From Iron oxide nanoparticles: Diagnostic, therapeutic and theranostic applications (2019) · cites this paper as [132]
In the citing paper
“Macrophage infiltration can be used as a biomarker in several pathological conditions. It can for instance provide information on the stage and progression of cardiovascular disorders, such as atherosclerosis [169, 170].”
From Iron oxide nanoparticles: Diagnostic, therapeutic and theranostic applications (2019) · cites this paper as [169]
In the citing paper
“Approximately 100-fold higher resolution than conventional computed tomography scans showed promise, and this approach is being clinically tested for application in human subjects.152”
From Targeted therapy in chronic diseases using nanomaterial-based drug delivery vehicles (2019) · cites this paper as [152]
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Metadata
- Authors
- Weissleder, R., Nahrendorf, M., & Pittet, M. J.
- Affiliations
- Harvard University (US)
- Massachusetts General Hospital (US)
- Corresponding author
- Weissleder, Ralph
- Venue
- Nature Materials
- Published
- 2014-01-23
- Volume
- 13
- Issue
- 2
- Pages
- 125-138
- ISSN
- 1476-1122 (ISSN-L)
- 1476-4660
- OpenAlex
- W2092877053
- Cited by
- 809
- References
- 183
- Citations by year
- 2026: 25 · 2025: 31 · 2024: 36 · 2023: 51 · 2022: 61 · 2021: 67 · 2020: 80 · 2019: 64 · 2018: 90 · 2017: 105 · 2016: 90 · 2015: 79 · 2014: 28
- FWCI
- 8.63
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Nature Materials (publishedVersion)
- PubMed (publishedVersion)
- Archive ouverte UNIGE (University of Geneva) (publishedVersion)
- Archive ouverte UNIGE (University of Geneva) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Nanoplatforms for cancer theranostics
- Physical Sciences › Materials Science › Biomaterials › Nanoparticle-Based Drug Delivery
- Physical Sciences › Engineering › Biomedical Engineering › Characterization and Applications of Magnetic Nanoparticles
- Keywords
- macrophages, nanomaterials, macrophage targeting, tumor imaging, atherosclerosis, myocardial infarction, aortic aneurysm, diabetes mellitus, inflammation, innate immunity, cell tracking, non-invasive imaging, nanotherapeutics
- MeSH terms
- Humans, Inflammation, Macrophages, Nanoparticles, Cell Tracking
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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