Evidence map›Paper›PMID 25863050›Full record

ArticleBiophysical journal2015

Altered mechanical environment of bone cells in an animal model of short- and long-term osteoporosis.

Stefaan W Verbruggen, Myles J Mc Garrigle, Matthew G Haugh, Muriel C Voisin, Laoise M McNamara

Abstract read
In one paragraph

Article in Biophysical journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–field-weighted citation impact
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

32 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Air Pollution and Osteoporosis.Current osteoporosis reports · 2024
    Review
  9. Article
  10. Article
  11. Article
  12. Osteocytes and Primary Cilia.Current osteoporosis reports · 2023
    Review
  13. Article
  14. Article
  15. Fenoldopam Sensitizes Primary Cilia-Mediated Mechanosensing to Promote Osteogenic Intercellular Signaling and Whole Bone Adaptation.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2022
    Article
  16. Osteocytes and Estrogen Deficiency.Current osteoporosis reports · 2021
    Review
  17. Disrupted osteocyte connectivity and pericellular fluid flow in bone with aging and defective TGF-β signaling.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  18. Article
  19. Review
  20. The mechanoresponse of bone is closely related to the osteocyte lacunocanalicular network architecture.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Stefaan W VerbruggenBiomechanics Research Centre, National Centre for Biomedical Engineering Science, Biomedical Engineering, College of Engineering and Informatics, National University of Ireland, Galway, Ireland.
Myles J Mc GarrigleBiomechanics Research Centre, National Centre for Biomedical Engineering Science, Biomedical Engineering, College of Engineering and Informatics, National University of Ireland, Galway, Ireland.
Matthew G HaughBiomechanics Research Centre, National Centre for Biomedical Engineering Science, Biomedical Engineering, College of Engineering and Informatics, National University of Ireland, Galway, Ireland.
Muriel C VoisinBiomechanics Research Centre, National Centre for Biomedical Engineering Science, Biomedical Engineering, College of Engineering and Informatics, National University of Ireland, Galway, Ireland.
Laoise M McNamaraBiomechanics Research Centre, National Centre for Biomedical Engineering Science, Biomedical Engineering, College of Engineering and Informatics, National University of Ireland, Galway, Ireland. Electronic address: laoise.mcnamara@nuigalway.ie.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alterations in bone tissue composition during osteoporosis likely disrupt the mechanical environment of bone cells and may thereby initiate a mechanobiological response. It has proved challenging to characterize the mechanical environment of bone cells in vivo, and the mechanical environment of osteoporotic bone cells is not known. The objective of this research is to characterize the local mechanical environment of osteocytes and osteoblasts from healthy and osteoporotic bone in a rat model of osteoporosis. Using a custom-designed micromechanical loading device, we apply strains representative of a range of physical activity (up to 3000 με) to fluorescently stained femur samples from normal and ovariectomized rats. Confocal imaging was simultaneously performed, and digital image correlation techniques were applied to characterize cellular strains. In healthy bone tissue, osteocytes experience higher maximum strains (31,028 ± 4213 με) than osteoblasts (24,921 ± 3,832 με), whereas a larger proportion of the osteoblast experiences strains >10,000 με. Most interestingly, we show that osteoporotic bone cells experience similar or higher maximum strains than healthy bone cells after short durations of estrogen deficiency (5 weeks), and exceeded the osteogenic strain threshold (10,000 με) in a similar or significantly larger proportion of the cell (osteoblast, 12.68% vs. 13.68%; osteocyte, 15.74% vs. 5.37%). However, in long-term estrogen deficiency (34 weeks), there was no significant difference between bone cells in healthy and osteoporotic bone. These results suggest that the mechanical environment of bone cells is altered during early-stage osteoporosis, and that mechanobiological responses act to restore the mechanical environment of the bone tissue after it has been perturbed by ovariectomy.

Indexed as

Stress, MechanicalAnimalsEstrogensFemaleMicroscopy, ConfocalOsteocytesOsteoporosisRatsEstrogens

Identifiers

PMID25863050
PMCPMC4390805

What OpenQuestion holds

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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.