Evidence map›Paper›PMID 29675269›Full record

ArticleNPJ Regenerative medicine2018

Translation of remote control regenerative technologies for bone repair.

Hareklea Markides, Jane S McLaren, Neil D Telling, Noura Alom, E'atelaf A Al-Mutheffer, Richard O C Oreffo, Andrew Zannettino, Brigitte E Scammell, Lisa J White, Alicia J El Haj

Open access · goldAbstract read
In one paragraph

Article in NPJ Regenerative medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
1.9field-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

26 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Mechanobiology in medicine · 2024
    Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Magnetic Nanoparticles in Bone Tissue Engineering.Nanomaterials (Basel, Switzerland) · 2022
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Genetically-programmed, mesenchymal stromal cell-laden & mechanically strong 3D bioprinted scaffolds for bone repair.Journal of controlled release : official journal of the Controlled Release Society · 2020
    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

10 authors at 4 institutions in 2 countries.

Hareklea Markides1Institute for Science and Technology in Medicine, Keele University, Stoke-on-Trent, ST4 7QB UK.
Jane S McLaren2Centre for Biomolecular Sciences, University of Nottingham, Nottingham, NG7 2RD UK.
Neil D Telling1Institute for Science and Technology in Medicine, Keele University, Stoke-on-Trent, ST4 7QB UK.
Noura Alom2Centre for Biomolecular Sciences, University of Nottingham, Nottingham, NG7 2RD UK.
E'atelaf A Al-Mutheffer1Institute for Science and Technology in Medicine, Keele University, Stoke-on-Trent, ST4 7QB UK.
Richard O C Oreffo3Bone and Joint Research Group, Centre for Human Development, Stem Cells and Regeneration, Faculty of Medicine, University of Southampton, Southampton, SO16 6YD UK.
Andrew Zannettino4Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, and South Australian Health and Medical Research Institute, Adelaide, SA 5000 Australia.
Brigitte E Scammell5Academic Orthopaedics, Trauma and Sports Medicine, University of Nottingham, Queen's Medical Centre, Nottingham, NG7 2UH UK.
Lisa J White6School of Pharmacy, University of Nottingham, Nottingham, NG7 2RD UK.ORCID 0000-0003-0571-999X
Alicia J El Haj1Institute for Science and Technology in Medicine, Keele University, Stoke-on-Trent, ST4 7QB UK.
Keele University · GBUniversity of Nottingham · GBSouth Australian Health and Medical Research Institute · AUUniversity of Southampton · GB

Funding

Biotechnology and Biological Sciences Research Council BB/G010560/1Medical Research Council MR/K026682/1
6 · The paper itself

Abstract

The role of biomechanical stimuli, or mechanotransduction, in normal bone homeostasis and repair is understood to facilitate effective osteogenesis of mesenchymal stem cells (MSCs) in vitro. Mechanotransduction has been integrated into a multitude of in vitro bone tissue engineering strategies and provides an effective means of controlling cell behaviour towards therapeutic outcomes. However, the delivery of mechanical stimuli to exogenous MSC populations, post implantation, poses a significant translational hurdle. Here, we describe an innovative bio-magnetic strategy, MICA, where magnetic nanoparticles (MNPs) are used to remotely deliver mechanical stimuli to the mechano-receptor, TREK-1, resulting in activation and downstream signalling via an external magnetic array. In these studies, we have translated MICA to a pre-clinical ovine model of bone injury to evaluate functional bone repair. We describe the development of a magnetic array capable of in vivo MNP manipulation and subsequent osteogenesis at equivalent field strengths in vitro. We further demonstrate that the viability of MICA-activated MSCs in vivo is unaffected 48 h post implantation. We present evidence to support early accelerated repair and preliminary enhanced bone growth in MICA-activated defects within individuals compared to internal controls. The variability in donor responses to MICA-activation was evaluated in vitro revealing that donors with poor osteogenic potential were most improved by MICA-activation. Our results demonstrate a clear relationship between responders to MICA in vitro and in vivo. These unique experiments offer exciting clinical applications for cell-based therapies as a practical in vivo source of dynamic loading, in real-time, in the absence of pharmacological agents.

Identifiers

PMID29675269
PMCPMC5904134
OpenAlexW2801804409

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Registered trials

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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.