Evidence map›Paper›PMID 21764442›Full record

ArticleBiomaterials2011

Osteoconductive protamine-based polyelectrolyte multilayer functionalized surfaces.

Raymond E Samuel, Anita Shukla, Daniel H Paik, Mary X Wang, Jean C Fang, Daniel J Schmidt, Paula T Hammond

Open access · greenAbstract read
In one paragraph

Article in Biomaterials, 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
4.0field-weighted citation impact, top 6% 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, 40 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Raymond E SamuelDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Anita Shukla
Daniel H Paik
Mary X Wang
Jean C Fang
Daniel J Schmidt
Paula T Hammond
Massachusetts Institute of Technology · US

Funding

Nanoscale Electrostatic Assemblies for Multi-Agent Drug Delivery fromR01AG029601 · NIA · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI HAMMOND, PAULA T · 2007 to 2011
$1.9M
NIA NIH HHS 5R01AG029601NIA NIH HHS R01 AG029601
6 · The paper itself

Abstract

The integration of orthopedic implants with host bone presents a major challenge in joint arthroplasty, spinal fusion and tumor reconstruction. The cellular microenvironment can be programmed via implant surface functionalization allowing direct modulation of osteoblast adhesion, proliferation, and differentiation at the implant--bone interface. The development of layer-by-layer assembled polyelectrolyte multilayer (PEM) architectures has greatly expanded our ability to fabricate intricate nanometer to micron scale thin film coatings that conform to complex implant geometries. The in vivo therapeutic efficacy of thin PEM implant coatings for numerous biomedical applications has previously been reported. We have fabricated protamine-based PEM thin films that support the long-term proliferation and differentiation of pre-osteoblast cells on non-cross-linked film-coated surfaces. These hydrophilic PEM functionalized surfaces with nanometer-scale roughness facilitated increased deposition of calcified matrix by osteoblasts in vitro, and thus offer the potential to enhance implant integration with host bone. The coatings can make an immediate impact in the osteogenic culture of stem cells and assessment of the osteogenic potential of new therapeutic factors.

Indexed as

AnimalsCell AdhesionCell DifferentiationCell LineCell ProliferationCoated Materials, BiocompatibleElectrolytesMiceOsteoblastsProtaminesSurface PropertiesCoated Materials, BiocompatibleElectrolytesProtamines

Identifiers

PMID21764442
PMCPMC3218099
OpenAlexW1972287959

What OpenQuestion holds

Textmetadata
LicenceTDM
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.