Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 451

The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.

Biomimetic proteolipid vesicles for targeting inflamed tissues

Open access
Molinaro, R., Corbo, C., Martinez, J. O., Taraballi, F., Evangelopoulos, M., Minardi, S., Yazdi, I. K., Zhao, P., De Rosa, E., Sherman, M. B., De Vita, A., Toledano Furman, N. E., Wang, X., Parodi, A., Tasciotti, E.·2016·Nature Materials

Abstract

A multitude of micro- and nanoparticles have been developed to improve the delivery of systemically administered pharmaceuticals, which are subject to a number of biological barriers that limit their optimal biodistribution. Bioinspired drug-delivery carriers formulated by bottom-up or top-down strategies have emerged as an alternative approach to evade the mononuclear phagocytic system and facilitate the transport across the endothelial vessel wall. Here, we describe a method that leverages the advantages of bottom-up and top-down strategies to incorporate proteins derived from the leukocyte plasma membrane into lipid nanoparticles. The resulting proteolipid vesicles - which we refer to as leukosomes - retained the versatility and physicochemical properties typical of liposomal formulations, preferentially targeted inflamed vasculature, enabled the selective and effective delivery of dexamethasone to inflamed tissues, and reduced phlogosis in a localized model of inflammation.

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 · 10.1038/nmat4644

Cites

42 of 42 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 42 references

Cited by

See all 451

Metadata

Authors
Molinaro, R., Corbo, C., Martinez, J. O., Taraballi, F., Evangelopoulos, M., Minardi, S., Yazdi, I. K., Zhao, P., De Rosa, E., Sherman, M. B., De Vita, A., Toledano Furman, N. E., Wang, X., Parodi, A., & Tasciotti, E.
Venue
Nature Materials
Published
2016-05-23
Volume
15
Issue
9
Pages
1037-1046
ISSN
  • 1476-1122 (ISSN-L)
  • 1476-4660
OpenAlex
W2406375428
Cited by
451
References
42
FWCI
14.28
Type
journal article
Language
en
Open access
green

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Biomimetic proteolipid vesicles for targeting inflamed tissues. https://app.cochat.ai/papers/10.1038/nmat4644
The paper
Molinaro, R., Corbo, C., Martinez, J. O., Taraballi, F., Evangelopoulos, M., Minardi, S., Yazdi, I. K., Zhao, P., De Rosa, E., Sherman, M. B., De Vita, A., Toledano Furman, N. E., Wang, X., Parodi, A., & Tasciotti, E. (2016). Biomimetic proteolipid vesicles for targeting inflamed tissues. Nature Materials. https://doi.org/10.1038/nmat4644

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.