Evidence map›Paper›PMID 21147831›Full record

ArticleJournal of the Royal Society, Interface2011

Bioadhesion of various proteins on random, diblock and triblock copolymer surfaces and the effect of pH conditions.

Manuel L B Palacio, Scott R Schricker, Bharat Bhushan

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 36 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Designing nanostructured block copolymer surfaces to control protein adhesion.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2012
    Review
  6. Article
  7. Article
  8. 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.

Manuel L B PalacioNanoprobe Laboratory for Bio- and Nanotechnology and Biomimetics, The Ohio State University, Columbus, OH 43210, USA.
Scott R Schricker
Bharat Bhushan
The Ohio State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The adhesive interactions of block copolymers composed of poly(methyl methacrylate) (PMMA)/poly(acrylic acid) (PAA) and poly(methyl methacrylate)/poly(2-hydroxyethyl methacrylate) (PHEMA) with the proteins fibronectin, bovine serum albumin and collagen were studied by atomic force microscopy. Adhesion experiments were performed both at physiological pH and at a slightly more acidic condition (pH 6.2) to model polymer-protein interactions under inflammatory or infectious conditions. The PMMA/PAA block copolymers were found to be more sensitive to the buffer environment than PMMA/PHEMA owing to electrostatic interactions between the ionized acrylate groups and the proteins. It was found that random, diblock and triblock copolymers exhibit distinct adhesion profiles although their chemical compositions are identical. This implies that biomaterial nanomorphology can be used to control protein-polymer interactions and potentially cell adhesion.

Indexed as

Surface PropertiesAcrylic ResinsAdhesivenessAnimalsBiocompatible MaterialsCattleCell AdhesionCollagenFibronectinsHydrogen-Ion ConcentrationMicroscopy, Atomic ForceModels, BiologicalModels, ChemicalNanotechnologyPolyhydroxyethyl MethacrylatePolymersAcrylic ResinsBiocompatible Materialscarbopol 940CollagenFibronectinsPolyhydroxyethyl MethacrylatePolymerspolymethacrylic acidPolymethacrylic AcidsProteinsSerum Albumin

Identifiers

PMID21147831
PMCPMC3061101
OpenAlexW2170965758

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.