ArticleMacromolecular bioscience2016
Polymerizing Insulin with Photocleavable Linkers to Make Light-Sensitive Macropolymer Depot Materials.
Article in Macromolecular bioscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 15 citations in OpenAlex.
- Pulsatile Release of Human Gonadotropin Releasing Hormone Using a Photoactivated Depot Containing an Unusual Light Cleaved Functionality.Molecular pharmaceutics · 2026Article
- The Photoactivated Depot (PAD): Light Triggered Control of Therapeutic Protein Solubility and Release.Accounts of chemical research · 2025Article
- A Green Light-Activated Insulin Depot with Ultrafast In Vivo Efficiency in the Subcutaneous Space.ACS biomaterials science & engineering · 2024Article
- In vivo variable and multi-day response from an insulin-releasing photoactivated depot.Bioorganic & medicinal chemistry letters · 2023Article
- The Issue of Tissue: Approaches and Challenges to the Light Control of Drug Activity: A Mini-Review.ChemPhotoChem · 2021Article
- A Light Activated Glucagon Trimer with Resistance to Fibrillation.ACS biomaterials science & engineering · 2021Article
- Replacing Pumps with Light Controlled Insulin Delivery.Current diabetes reports · 2019Review
- Visible-Light-Activated High-Density Materials for Controlled in Vivo Insulin Release.Molecular pharmaceutics · 2019Article
- Hydrophobic Tags for Highly Efficient Light-Activated Protein Release.Molecular pharmaceutics · 2019Article
- Chemical modification of proteins with photocleavable groups.Methods in enzymology · 2019Article
- Light Control of Protein Solubility Through Isoelectric Point Modulation.Journal of the American Chemical Society · 2017Article
- Light Control of Insulin Release and Blood Glucose Using an Injectable Photoactivated Depot.Molecular pharmaceutics · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
The use of light-sensitive polymers for the release of therapeutics is an important approach allowing the timing and amount of the release to be controlled precisely. The use of light has been pioneered to control insulin release from a dermal photoactivated depot, or PAD. One of the main impediments to the use of light-sensitive polymers in this context is the density of the materials: The large majority of the material is the carrier polymer, with the minority being the therapeutic. In this work, the feasibility of using insulin itself as a monomer in the polymerization process is demonstrated. Insulin modified with either one or two light cleavable azide groups is polymerized with a tridentate alkyne-bridging monomer using a click reaction. The resulting material called a "macropolymer" is ≈85% insulin, is insoluble in aqueous solvent, and releases native, soluble insulin upon irradiation.
Indexed as
Identifiers
What 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.