Evidence map›Paper›PMID 36149593›Full record

ReviewCurrent osteoporosis reports2022

Microfluidic Co-culture Platforms for Studying Osteocyte Regulation of Other Cell Types under Dynamic Mechanical Stimulation.

Chun-Yu Lin, Xin Song, Kimberly Seaman, Lidan You

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current osteoporosis reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Rethinking osteocyte modelsFrontiers in bioengineering and biotechnology · 2026
    Review
  3. Article
  4. Article
  5. Review
  6. 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

4 authors at 1 institution in 1 country.

Chun-Yu Lin *Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada.
Xin Song *Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario, Canada.
Kimberly SeamanDepartment of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario, Canada.
Lidan YouInstitute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada. youlidan@mie.utoronto.ca.ORCID 0000-0001-8889-4173
University of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewOsteocytes are the most abundant cell type in bone. These unique cells act primarily as mechanosensors and play crucial roles in the functional adaptation of bone tissue. This review aims to summarize the recent microfluidic studies on mechanically stimulated osteocytes in regulating other cell types. RECENT

findingsMicrofluidics is a powerful technology that has been widely employed in recent years. With the advantages of microfluidic platforms, researchers can mimic multicellular environments and integrate dynamic systems to study osteocyte regulation under mechanical stimulation. Microfluidic platforms have been developed to investigate mechanically stimulated osteocytes in the direct regulation of multiple cell types, including osteoclasts, osteoblasts, and cancer cells, and in the indirect regulation of cancer cells via endothelial cells. Overall, these microfluidic studies foster the development of treatment approaches targeting osteocytes under mechanical stimulation.

Indexed as

MicrofluidicsOsteocytesCoculture TechniquesEndothelial CellsHumansOsteoblastsOsteoclastsBone metastasisMechanoregulationMicrofluidicOsteoblastOsteoclastOsteocyte

Identifiers

PMID36149593
OpenAlexW4296794268

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.