Evidence map›Paper›PMID 28458031›Full record

ReviewBiomaterials2017

Protein based therapeutic delivery agents: Contemporary developments and challenges.

Liming Yin, Carlo Yuvienco, Jin Kim Montclare

Abstract readReview
In one paragraph

Review in Biomaterials, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 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.

Liming YinDepartment of Chemical and Biomolecular Engineering, NYU Tandon School of Engineering, Brooklyn, NY 11201, United States.
Carlo YuviencoDepartment of Chemical and Biomolecular Engineering, NYU Tandon School of Engineering, Brooklyn, NY 11201, United States.
Jin Kim MontclareDepartment of Chemical and Biomolecular Engineering, NYU Tandon School of Engineering, Brooklyn, NY 11201, United States; Department of Chemistry, New York University, New York, NY 10003, United States; Department of Biomaterials, NYU College of Dentistry, New York, NY 10010, United States; Department of Biochemistry, SUNY Downstate Medical Center, Brooklyn, NY 11203, United States. Electronic address: montclare@nyu.edu.

Funding

Project-005UL1TR001445 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BREDELLA, MIRIAM ANTOINETTE, HOCHMAN, JUDITH S · 2015 to 2025
$103.5M
Institutional Clinical and Translational Science AwardUL1TR000038 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CRONSTEIN, BRUCE NEIL, HOCHMAN, JUDITH S · 2012 to 2014
$16.8M
NCATS NIH HHS UL1 TR000038NCATS NIH HHS UL1 TR001445
6 · The paper itself

Abstract

As unique biopolymers, proteins can be employed for therapeutic delivery. They bear important features such as bioavailability, biocompatibility, and biodegradability with low toxicity serving as a platform for delivery of various small molecule therapeutics, gene therapies, protein biologics and cells. Depending on size and characteristic of the therapeutic, a variety of natural and engineered proteins or peptides have been developed. This, coupled to recent advances in synthetic and chemical biology, has led to the creation of tailor-made protein materials for delivery. This review highlights strategies employing proteins to facilitate the delivery of therapeutic matter, addressing the challenges for small molecule, gene, protein and cell transport.

Indexed as

Biocompatible MaterialsBiopolymersDrug Delivery SystemsGenetic TherapyNanotechnologyProtein EngineeringProteinsBiocompatible MaterialsBiopolymersProteinsBiomaterialsCell therapyDrug deliveryGene therapyProtein engineeringStructural proteins

Identifiers

PMID28458031
PMCPMC5513498

What OpenQuestion holds

Textmetadata
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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.