Evidence map›Paper›PMID 21424599›Full record

ArticleJournal of materials science. Materials in medicine2011

Enzymatic degradation of the hydrogels based on synthetic poly(α-amino acid)s.

Tomáš Sedlačík, Hana Studenovská, František Rypáček

Abstract read
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In one paragraph

Article in Journal of materials science. Materials in medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

2 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
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 at 1 institution in 1 country.

Tomáš SedlačíkInstitute of Macromolecular Chemistry, Academy of Sciences of the Czech Republic, Heyrovsky Sq 2, 162 06 Prague 6, Czech Republic. sedlacik@imc.cas.cz
Hana Studenovská
František Rypáček
Czech Academy of Sciences, Institute of Macromolecular Chemistry · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biodegradable hydrogels are studied as potential scaffolds for soft tissue regeneration. In this work biodegradable hydrogels were prepared from synthetic poly(α-amino acid)s, poly(AA)s. The covalently crosslinked gels were formed by radical copolymerization of methacryloylated poly(AA)s, e.g. poly[N (5)-(2-hydroxy-ethyl)-L-glutamine-ran-L-alanine-ran-N (6)-methacryloyl-L-lysine], as a multifunctional macro-monomer with a low-molecular-weight methacrylic monofunctional monomer, e.g. 2-hydroxyethyl methacrylate (HEMA). Methacryloylated copolypeptides were synthesized by polymerization of N-carboxyanhydrides of respective amino acids and subsequent side-chain modification. Due to their polypeptide backbone, synthetic poly(AA)s are cleavable in biological environment by enzyme-catalyzed hydrolysis. The feasibility of enzymatic degradation of poly(AA)s alone and the hydrogels made from them was studied using elastase, a matrix proteinase involved in tissue healing processes, as a model enzyme. Specificity of elastase for cleavage of polypeptide chains behind the L-alanine residues was reflected in faster degradation of L-alanine-containing copolymers as well as of hydrogels composed of them.

Indexed as

Amino AcidsBiocompatible MaterialsBiodegradation, EnvironmentalCartilageCross-Linking ReagentsGelsHydrogelsMagnetic Resonance SpectroscopyMethacrylatesModels, ChemicalNerve RegenerationPancreatic ElastasePeptidesPolymersTime FactorsTissue EngineeringAmino AcidsBiocompatible MaterialsCross-Linking ReagentsGelsHydrogelshydroxyethyl methacrylateMethacrylatesPancreatic ElastasePeptidesPolymers

Identifiers

PMID21424599
OpenAlexW2095411436

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.