Evidence map›Paper›PMID 31600661›Full record

ReviewCurrent opinion in pharmacology2019

Rhythm on a chip: circadian entrainment in vitro is the next frontier in body-on-a chip technology.

Jean-Michel Fustin, Meina Li, Bryan Gao, Qianyu Chen, Tianhong Cheng, Alastair G Stewart

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current opinion in pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Jean-Michel FustinLaboratory of Molecular Metabology, Graduate School of Pharmaceutical Sciences, Kyoto University, Sakyo-ku, Kyoto, 606-8501, Japan.
Meina LiARC Centre for Personalised Therapeutics Technologies, Department of Pharmacology & Therapeutics, School of Biomedical Science, University of Melbourne, Parkville, Victoria 3010, Australia.
Bryan GaoARC Centre for Personalised Therapeutics Technologies, Department of Pharmacology & Therapeutics, School of Biomedical Science, University of Melbourne, Parkville, Victoria 3010, Australia.
Qianyu ChenARC Centre for Personalised Therapeutics Technologies, Department of Pharmacology & Therapeutics, School of Biomedical Science, University of Melbourne, Parkville, Victoria 3010, Australia.
Tianhong ChengARC Centre for Personalised Therapeutics Technologies, Department of Pharmacology & Therapeutics, School of Biomedical Science, University of Melbourne, Parkville, Victoria 3010, Australia.
Alastair G StewartARC Centre for Personalised Therapeutics Technologies, Department of Pharmacology & Therapeutics, School of Biomedical Science, University of Melbourne, Parkville, Victoria 3010, Australia. Electronic address: astew@unimelb.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Organoids, bioprinted mini-tissues and body-on-a-chip technologies are poised to transform the practice of preclinical pharmacology, with a view to achieving better predictive value. We review the need for further refinement in static and dynamic biomechanical aspects of such microenvironments. Further consideration of the developments required in perfusion systems to enable delivery of an appropriate soluble microenvironment are argued. We place particular emphasis on a major deficiency in these systems, being the absence or aberrant circadian behaviour of cells used in such settings, and consider the technical challenges that are needing to be met in order to achieve rhythm-on-a-chip.

Indexed as

Circadian RhythmTissue EngineeringAnimalsHumansOrganoidsPharmacologyTissue Scaffolds

Identifiers

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.