Ontology type: schema:ScholarlyArticle Open Access: True
2018-12
AUTHORSMiaorong Yu, Lu Xu, Falin Tian, Qian Su, Nan Zheng, Yiwei Yang, Jiuling Wang, Aohua Wang, Chunliu Zhu, Shiyan Guo, XinXin Zhang, Yong Gan, Xinghua Shi, Huajian Gao
ABSTRACTTo optimally penetrate biological hydrogels such as mucus and the tumor interstitial matrix, nanoparticles (NPs) require physicochemical properties that would typically preclude cellular uptake, resulting in inefficient drug delivery. Here, we demonstrate that (poly(lactic-co-glycolic acid) (PLGA) core)-(lipid shell) NPs with moderate rigidity display enhanced diffusivity through mucus compared with some synthetic mucus penetration particles (MPPs), achieving a mucosal and tumor penetrating capability superior to that of both their soft and hard counterparts. Orally administered semi-elastic NPs efficiently overcome multiple intestinal barriers, and result in increased bioavailability of doxorubicin (Dox) (up to 8 fold) compared to Dox solution. Molecular dynamics simulations and super-resolution microscopy reveal that the semi-elastic NPs deform into ellipsoids, which enables rotation-facilitated penetration. In contrast, rigid NPs cannot deform, and overly soft NPs are impeded by interactions with the hydrogel network. Modifying particle rigidity may improve the efficacy of NP-based drugs, and can be applicable to other barriers. More... »
PAGES2607
http://scigraph.springernature.com/pub.10.1038/s41467-018-05061-3
DOIhttp://dx.doi.org/10.1038/s41467-018-05061-3
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PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/29973592
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"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1105228681"
]
}
],
"sameAs": [
"https://doi.org/10.1038/s41467-018-05061-3",
"https://app.dimensions.ai/details/publication/pub.1105228681"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-10T20:55",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8684_00000567.jsonl",
"type": "ScholarlyArticle",
"url": "https://www.nature.com/articles/s41467-018-05061-3"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/s41467-018-05061-3'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41467-018-05061-3'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41467-018-05061-3'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41467-018-05061-3'
This table displays all metadata directly associated to this object as RDF triples.
318 TRIPLES
21 PREDICATES
73 URIs
21 LITERALS
9 BLANK NODES