Evidence map›Paper›PMID 37662695›Full record

ReviewRegenerative therapy2023

Technology using simulated microgravity.

Yusuke Nishimura

Abstract readReview
In one paragraph

Review in Regenerative therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Review
  2. Engineering brain organoids: from neurodevelopmental modeling to translational barriers.Journal of artificial organs : the official journal of the Japanese Society for Artificial Organs · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Vascularization and maturation of kidney organoids: a comprehensive review of technological trends and challenges.Journal of artificial organs : the official journal of the Japanese Society for Artificial Organs · 2026
    Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  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

1 author.

Yusuke NishimuraDepartment of Clinical Engineering, Faculty of Medical Science and Technology, Gunma Paz University, 3-3-4 Tonyamachi, Takasaki-shi, Gunma 370-0006, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human body experiences constant stimulation from Earth's gravity, and the absence of gravity leads to various impacts at the cellular and tissue levels. Simulated microgravity (s-μg) has been employed on Earth to investigate these effects, circumventing the challenges of conducting experiments in space and providing an opportunity to understand the influence of microgravity on living organisms. Research focusing on stem cells and utilizing s-μg has enhanced our understanding of how microgravity affects stem cell morphology, migration, proliferation, and differentiation. Studies have used systems such as rotating wall vessels, random positioning machines, and clinostats. By uncovering the mechanisms underlying the observed changes in these studies, there is potential to identify therapeutic targets that regulate stem cell function and explore a range of applications, including stem cell-based regenerative medicine. This review will focus on the features of each device designed to simulate microgravity on Earth, as well as the stem cell experiments performed with those devices.

Indexed as

Random positioning machineRegenerative therapyRotating wall vesselSimulated microgravityStem cells

Identifiers

PMID37662695
PMCPMC10470365

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.