Evidence map›Paper›PMID 25268758›Full record

ArticleBiomacromolecules2014

Bio-inspired synthetic nanovesicles for glucose-responsive release of insulin.

Wanyi Tai, Ran Mo, Jin Di, Vinayak Subramanian, Xiao Gu, John B Buse, Zhen Gu

Open access · greenAbstract read
In one paragraph

Article in Biomacromolecules, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
6.1field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 148 citations in OpenAlex.

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  3. [Advances in injectable and transdermal glucose-responsive insulin delivery systems].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Wanyi TaiJoint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University , Raleigh, North Carolina 27695, United States.
Ran Mo
Jin Di
Vinayak Subramanian
Xiao Gu
John B Buse
Zhen Gu
North Carolina State University · USUniversity of North Carolina at Chapel Hill · US

Funding

North Carolina Translational & Clinical Sciences Institute (NC TraCS)UL1TR001111 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, CAREY, TIMOTHY S · 2013 to 2017
$43.9M
NCATS NIH HHS 1UL1TR001111NCATS NIH HHS UL1 TR001111
6 · The paper itself

Abstract

A new glucose-responsive formulation for self-regulated insulin delivery was constructed by packing insulin, glucose-specific enzymes into pH-sensitive polymersome-based nanovesicles assembled by a diblock copolymer. Glucose can passively transport across the bilayer membrane of the nanovesicle and be oxidized into gluconic acid by glucose oxidase, thereby causing a decrease in local pH. The acidic microenvironment causes the hydrolysis of the pH sensitive nanovesicle that in turn triggers the release of insulin in a glucose responsive fashion. In vitro studies validated that the release of insulin from nanovesicle was effectively correlated with the external glucose concentration. In vivo experiments, in which diabetic mice were subcutaneously administered with the nanovesicles, demonstrate that a single injection of the developed nanovesicle facilitated stabilization of the blood glucose levels in the normoglycemic state (<200 mg/dL) for up to 5 days.

Indexed as

AnimalsBlood GlucoseDiabetes Mellitus, ExperimentalDrug Delivery SystemsGluconatesGlucoseGlucose OxidaseHydrogen-Ion ConcentrationInsulinMaleMiceMice, Inbred C57BLPolymersBlood GlucoseGluconatesgluconic acidGlucoseGlucose OxidaseInsulinPolymers

Identifiers

PMID25268758
PMCPMC4195518
OpenAlexW2327103385

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.