Evidence map›Paper›PMID 29385104›Full record

ArticleInternational journal of molecular sciences2018

Amorphous, Smart, and Bioinspired Polyphosphate Nano/Microparticles: A Biomaterial for Regeneration and Repair of Osteo-Articular Impairments In-Situ.

Werner E G Müller, Meik Neufurth, Shunfeng Wang, Maximilian Ackermann, Rafael Muñoz-Espí, Qingling Feng, Qiang Lu, Heinz C Schröder, Xiaohong Wang

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.4field-weighted citation impact, top 15% 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

16 citing papers in PubMed, 30 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

9 authors at 3 institutions in 3 countries.

Werner E G MüllerERC Advanced Investigator Grant Research Group at the Institute for Physiological Chemistry, University Medical Center of the Johannes Gutenberg University Mainz, Duesbergweg 6, 55128 Mainz, Germany. wmueller@uni-mainz.de.
Meik NeufurthERC Advanced Investigator Grant Research Group at the Institute for Physiological Chemistry, University Medical Center of the Johannes Gutenberg University Mainz, Duesbergweg 6, 55128 Mainz, Germany. mneufurt@uni-mainz.de.ORCID 0000-0002-2383-6412
Shunfeng WangERC Advanced Investigator Grant Research Group at the Institute for Physiological Chemistry, University Medical Center of the Johannes Gutenberg University Mainz, Duesbergweg 6, 55128 Mainz, Germany. shunwang@uni-mainz.de.
Maximilian AckermannInstitute of Functional and Clinical Anatomy, University Medical Center of the Johannes Gutenberg University Mainz, Johann Joachim Becher Weg 13, 55099 Mainz, Germany. maximilian.ackermann@uni-mainz.de.
Rafael Muñoz-EspíInstitute of Materials Science (ICMUV), Universitat de València, C/Catedràtic José Beltrán 2, Paterna, 46980 València, Spain. rafael.munoz@uv.es.ORCID 0000-0002-8146-2332
Qingling FengKey Laboratory of Advanced Materials of Ministry of Education of China, School of Materials Science and Engineering, Tsinghua University, Beijing 100084, China. biomater@mail.tsinghua.edu.cn.ORCID 0000-0003-1288-300X
Qiang LuERC Advanced Investigator Grant Research Group at the Institute for Physiological Chemistry, University Medical Center of the Johannes Gutenberg University Mainz, Duesbergweg 6, 55128 Mainz, Germany. qianglu1@uni-mainz.de.
Heinz C SchröderERC Advanced Investigator Grant Research Group at the Institute for Physiological Chemistry, University Medical Center of the Johannes Gutenberg University Mainz, Duesbergweg 6, 55128 Mainz, Germany. hschroed@uni-mainz.de.
Xiaohong WangERC Advanced Investigator Grant Research Group at the Institute for Physiological Chemistry, University Medical Center of the Johannes Gutenberg University Mainz, Duesbergweg 6, 55128 Mainz, Germany. wang013@uni-mainz.de.ORCID 0000-0003-1796-6314
Johannes Gutenberg University Mainz · DEParc Científic de la Universitat de València · ESTsinghua University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using femur explants from mice as an in vitro model, we investigated the effect of the physiological polymer, inorganic polyphosphate (polyP), on differentiation of the cells of the bone marrow in their natural microenvironment into the osteogenic and chondrogenic lineages. In the form of amorphous Ca-polyP nano/microparticles, polyP retains its function to act as both an intra- and extracellular metabolic fuel and a stimulus eliciting morphogenetic signals. The method for synthesis of the nano/microparticles with the polyanionic polyP also allowed the fabrication of hybrid particles with the bisphosphonate zoledronic acid, a drug used in therapy of bone metastases in cancer patients. The results revealed that the amorphous Ca-polyP particles promote the growth/viability of mesenchymal stem cells, as well as the osteogenic and chondrogenic differentiation of the bone marrow cells in rat femur explants, as revealed by an upregulation of the expression of the transcription factors

Indexed as

Bone RegenerationPolyphosphatesAnimalsBiocompatible MaterialsChondrogenesisCore Binding Factor Alpha 1 SubunitDiphosphonatesFemurGene Expression RegulationHumansImidazolesMesenchymal Stem CellsMiceNanoparticlesOsteogenesisRatsBiocompatible MaterialsCore Binding Factor Alpha 1 SubunitDiphosphonatesImidazolesPolyphosphatesSOX9 Transcription FactorZoledronic Acidbisphosphonatesbone marrow cellscathepsin-Khuman mesenchymal stem cellsinorganic polyphosphatelong bone defectsmicroparticlesRunx2Sox9tumor metastases

Identifiers

PMID29385104
PMCPMC5855649
OpenAlexW2790146269

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.