Evidence map›Paper›PMID 29948917›Full record

ArticleDrug delivery and translational research2018

Individually coated microneedles for co-delivery of multiple compounds with different properties.

Song Li, Wei Li, Mark Prausnitz

Abstract read
In one paragraph

Article in Drug delivery and translational research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
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

25 citing papers in PubMed.

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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

3 authors.

Song LiSchool of Chemical and Biomolecular Engineering, Georgia Institute of Technology, 311 Ferst Drive, Atlanta, GA, 30332, USA.
Wei LiSchool of Chemical and Biomolecular Engineering, Georgia Institute of Technology, 311 Ferst Drive, Atlanta, GA, 30332, USA.
Mark PrausnitzSchool of Chemical and Biomolecular Engineering, Georgia Institute of Technology, 311 Ferst Drive, Atlanta, GA, 30332, USA. prausnitz@gatech.edu.

Funding

Skin Vaccination Against Influenza in the Young And AgedR01AI110680 · NIAID · EMORY UNIVERSITY · PI COMPANS, RICHARD W · 2015 to 2019
$3.9M
NIAID NIH HHS R01 AI110680NIH HHS R01 AI110680
6 · The paper itself

Abstract

Microneedle (MN) patches provide a simple method for delivery of drugs that might otherwise require hypodermic injection. Conventional MN patch fabrication methods typically can load only one or possibly multiple miscible agents with the same formulation on all MNs, which limits the combination and spatial distribution of drugs and formulations having different properties (such as solubility) in a single patch. In this study, we coated MNs individually instead of coating all MNs from the same formulation, making possible a patch where each individual MN is coated with different formulations and drugs. In this way, individually coated MN patches co-delivered multiple agents with different physicochemical characteristics (immiscible molecules, proteins, and nanoparticles) and in different spatial patterns in the skin. MN loading was adjusted by modifying the number of coating layers, and co-delivery of multiple agents was demonstrated in the porcine skin. We conclude that individually coating MNs enables co-delivery of multiple different compounds and formulations with needle-by-needle spatial control in the skin.

Indexed as

Administration, CutaneousAnimalsDrug CompoundingDrug Delivery SystemsInsulinMicroinjectionsNeedlesPermeabilityPharmaceutical PreparationsPharmacokineticsSwineTransdermal PatchInsulinPharmaceutical PreparationsCoatingCo-delivery of compoundsControlled releaseImmiscibilityMicroneedle patchProgramed releaseTransdermal drug delivery

Identifiers

PMID29948917
PMCPMC6113086

What OpenQuestion holds

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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.