ArticlePharmaceutical research2019
Bottom-Up Fabrication of Multilayer Enteric Devices for the Oral Delivery of Peptides.
Article in Pharmaceutical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed.
- Ink to innovation: Pioneering printing technologies for next-generation drug delivery systems.Drug delivery and translational research · 2026Review
- Impact of Microdevice Geometry on Transit and Retention in the Murine Gastrointestinal Tract.ACS biomaterials science & engineering · 2023Article
- The Role of Soft Robotic Micromachines in the Future of Medical Devices and Personalized Medicine.Micromachines · 2021Review
- One-step preparation of CrNanoscale advances · 2021Article
- Future Perspectives of Oral Delivery of Next Generation Therapies for Treatment of Skin Diseases.Pharmaceutics · 2021Review
- Ethyl cellulose coated sustained release aspirin spherules for treating COVID-19: DOE led rapid optimization using arbitrary interface; applicable for emergency situations.International journal of biological macromolecules · 2021Article
- Article
- Cubic Microcontainers Improve In Situ Colonic Mucoadhesion and Absorption of Amoxicillin in Rats.Pharmaceutics · 2020Article
- Micro and nanoscale technologies in oral drug delivery.Advanced drug delivery reviews · 2020Review
- Orally ingestible medical devices for gut engineering.Advanced drug delivery reviews · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
purposeTo develop a planar, asymmetric, micro-scale oral drug delivery vehicle by i) fabricating microdevice bodies with enteric materials, ii) efficiently and stably loading sensitive drug molecules, and iii) capping microdevices for controlled drug release.
methodsPicoliter-volume inkjet printing was used to fabricate microdevices through additive manufacturing via drop-by-drop deposition of enteric polymer materials. Microdevice bodies with reservoirs are fabricated through deposition of an enteric polymer, Eudragit FS 30 D. A model API, insulin, was loaded into each microdevice and retained its stability during printing and release. Eudragit L 100 and/or S 100 were used to cap microdevices and control the kinetics of insulin release in simulated intestinal conditions.
resultsMicrodevice morphologies and size can be tuned on the fly based on printing parameters to span from the microscale to the mesoscale. Insulin retained its stability throughout device fabrication and during in vitro release in simulated intestinal conditions. Insulin release kinetics, from burst release to no release, can be tailored by controlling the blend of the Eudragit capping material.
conclusionThis approach represents a uniquely scalable and flexible strategy for microdevice fabrication that overcomes limitations in loading sensitive biologics and in the tuneability of device geometries that are inherent to traditional microfabrication strategies.
Indexed as
Identifiers
31004235What OpenQuestion holds
Registered trials
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.