Evidence map›Paper›PMID 21040969›Full record

ArticleBiomaterials2011

Hierarchical and non-hierarchical mineralisation of collagen.

Yan Liu, Young-Kyung Kim, Lin Dai, Nan Li, Sara O Khan, David H Pashley, Franklin R Tay

Abstract 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 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
6.9field-weighted citation impact, top 3% 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

57 citing papers in PubMed, 199 citations in OpenAlex.

  1. Trial
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  3. BiomimeticBioactive materials · 2026
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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 5 institutions in 3 countries.

Yan LiuDepartment of Stomatology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Young-Kyung Kim
Lin Dai
Nan Li
Sara O Khan
David H Pashley
Franklin R Tay
Augusta University · USFujian University of Traditional Chinese Medicine · CNKyungpook National University · KRTongji Hospital · CNWuhan No.1 Hospital · CN

Funding

Biomimetic remineralization of resin-dentin bondsR21DE019213 · NIDCR · AUGUSTA UNIVERSITY · PI TAY, FRANKLIN CHI MENG · 2009 to 2010
$362k
NIDCR NIH HHS R21 DE019213
6 · The paper itself

Abstract

Biomineralisation of collagen involves functional motifs incorporated in extracellular matrix protein molecules to accomplish the objectives of stabilising amorphous calcium phosphate into nanoprecursors and directing the nucleation and growth of apatite within collagen fibrils. Here we report the use of small inorganic polyphosphate molecules to template hierarchical intrafibrillar apatite assembly in reconstituted collagen in the presence of polyacrylic acid to sequester calcium and phosphate into transient amorphous nanophases. The use of polyphosphate without a sequestration analogue resulted only in randomly-oriented extrafibrillar precipitations along the fibrillar surface. Conversely, the use of polyacrylic acid without a templating analogue resulted only in non-hierarchical intrafibrillar mineralisation with continuous apatite strands instead of discrete crystallites. The ability of using simple non-protein molecules to recapitulate different levels of structural hierarchy in mineralised collagen signifies the ultimate simplicity in Nature's biomineralisation design principles and challenges the need for using more complex recombinant matrix proteins in bioengineering applications.

Indexed as

Biocompatible MaterialsCalcium PhosphatesCollagenMicroscopy, Electron, TransmissionSpectroscopy, Fourier Transform Infraredamorphous calcium phosphateBiocompatible MaterialsCalcium PhosphatesCollagen

Identifiers

PMID21040969
PMCPMC3003335
OpenAlexW1988582650

What OpenQuestion holds

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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.