Evidence map›Paper›PMID 31529361›Full record

ReviewBiophysical reviews2019

Flow-induced mechanotransduction in skeletal cells.

Roberta Alfieri, Massimo Vassalli, Federica Viti

Abstract readReview
In one paragraph

Review in Biophysical reviews, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. A Hierarchical Mechanotransduction System: From Macro to Micro.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  8. Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. 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
  14. Review
  15. Review
  16. Mechanosensitive miR-100 coordinates TGFβ and Wnt signaling in osteocytes during fluid shear stress.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2021
    Article
  17. Review
  18. Review
  19. Article
  20. Review
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

3 authors.

Roberta AlfieriInstitute of Molecular Genetics "Luigi Luca Cavalli-Sforza" - National Research Council (IGM-CNR), Via Abbiategrasso, 207, 27100, Pavia, Italy.
Massimo VassalliInstitute of Biophysics - National Research Council (IBF-CNR), Via De Marini, 6, 16149, Genoa, Italy.
Federica VitiInstitute of Biophysics - National Research Council (IBF-CNR), Via De Marini, 6, 16149, Genoa, Italy. federica.viti@ge.ibf.cnr.it.ORCID http://orcid.org/0000-0002-9651-8896

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human body is subject to many and variegated mechanical stimuli, actuated in different ranges of force, frequency, and duration. The process through which cells "feel" forces and convert them into biochemical cascades is called mechanotransduction. In this review, the effects of fluid shear stress on bone cells will be presented. After an introduction to present the major players in bone system, we describe the mechanoreceptors in bone tissue that can feel and process fluid flow. In the second part of the review, we present an overview of the biological processes and biochemical cascades initiated by fluid shear stress in bone cells.

Indexed as

Bone cellsFluid shear stressMechanotransduction

Identifiers

PMID31529361
PMCPMC6815304

What OpenQuestion holds

Textmetadata
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.