Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 870

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Theranostic Nanomedicine

Lammers, Twan, Aime, Silvio, Hennink, Wim E., Storm, Gert, Kiessling, Fabian·2011·Accounts of Chemical Research

Abstract

Nanomedicine formulations aim to improve the biodistribution and the target site accumulation of systemically administered (chemo)therapeutic agents. Many different types of nanomedicines have been evaluated over the years, including for instance liposomes, polymers, micelles and antibodies, and a significant amount of evidence has been obtained showing that these submicrometer-sized carrier materials are able to improve the balance between the efficacy and the toxicity of therapeutic interventions. Besides for therapeutic purposes, nanomedicine formulations have in recent years also been increasingly employed for imaging applications. Moreover, paralleled by advances in chemistry, biology, pharmacy, nanotechnology, medicine and imaging, several different systems have been developed in the last decade in which disease diagnosis and therapy are combined. These so-called (nano) theranostics contain both a drug and an imaging agent within a single formulation, and they can be used for various different purposes. In this Account, we summarize several exemplary efforts in this regard, and we show that theranostic nanomedicines are highly suitable systems for monitoring drug delivery, drug release and drug efficacy. The (pre)clinically most relevant applications of theranostic nanomedicines relate to their use for validating and optimizing the properties of drug delivery systems, and to their ability to be used for pre-screening patients and enabling personalized medicine. Regarding the former, the combination of diagnostic and therapeutic agents within a single formulation provides real-time feedback on the pharmacokinetics, the target site localization and the (off-target) healthy organ accumulation of nanomedicines. Various examples of this will be highlighted in this Account, illustrating that by non-invasively visualizing how well carrier materials are able to deliver pharmacologically active agents to the pathological site, and how well they are able to prevent them from accumulating in potentially endangered healthy tissues, important information can be obtained for optimizing the basic properties of drug delivery systems, as well as for improving the balance between the efficacy and the toxicity of targeted therapeutic interventions. Regarding personalized medicine, it can be reasoned that only in patients which show high levels of target site accumulation, and which respond well to the first couple of treatment cycles, targeted therapy should be continued, and that in those in which this is not the case, other therapeutic options should be considered. Based on these insights, we expect that ever more efforts will be invested in developing theranostic nanomedicines, and that these systems and strategies will contribute substantially to realizing the potential of personalized medicine.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/ar200019c

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 3 references

Cited by

Metadata

Authors
Lammers, T., Aime, S., Hennink, W. E., Storm, G., & Kiessling, F.
Venue
Accounts of Chemical Research
Published
2011-05-05
Volume
44
Issue
10
Pages
1029-1038
ISSN
  • 0001-4842 (ISSN-L)
  • 1520-4898
OpenAlex
W4237906573
Cited by
870
References
3
FWCI
22.72
Type
journal article
Language
en
Open access
closed

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 ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.