Evidence map›Paper›PMID 39329775›Full record

ArticleCells2024

Screening a Compound Library to Identify Additives That Boost Cytochrome P450 Enzyme Function in Vascularised Liver Spheres.

Baltasar Lucendo-Villarin, Yu Wang, Sunil K Mallanna, Erin A Kimbrel, David C Hay

Abstract read
In one paragraph

Article in Cells, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Baltasar Lucendo-VillarinCentre for Regenerative Medicine, Institute for Regeneration and Repair, The University of Edinburgh, Edinburgh BioQuarter, Edinburgh EH16 4UU, UK.ORCID 0000-0003-0796-1632
Yu WangCentre for Regenerative Medicine, Institute for Regeneration and Repair, The University of Edinburgh, Edinburgh BioQuarter, Edinburgh EH16 4UU, UK.
Sunil K MallannaAstellas Institute for Regenerative Medicine, 9 Technology Drive, Westborough, MA 01581, USA.
Erin A KimbrelAstellas Institute for Regenerative Medicine, 9 Technology Drive, Westborough, MA 01581, USA.ORCID 0000-0001-8520-7585
David C HayCentre for Regenerative Medicine, Institute for Regeneration and Repair, The University of Edinburgh, Edinburgh BioQuarter, Edinburgh EH16 4UU, UK.

Funding

Astellas Institute for Regenerative Medicine CW2327871
6 · The paper itself

Abstract

To accurately study human organ function and disease 'in the dish', it is necessary to develop reliable cell-based models that closely track human physiology. Our interest lay with the liver, which is the largest solid organ in the body. The liver is a multifunctional and highly regenerative organ; however, severe liver damage can have dire consequences for human health. A common cause of liver damage is adverse reactions to prescription drugs. Therefore, the development of predictive liver models that capture human drug metabolism patterns is required to optimise the drug development process. In our study, we aimed to identify compounds that could improve the metabolic function of stem cell-derived liver tissue. Therefore, we screened a compound library to identify additives that improved the maturity of

Indexed as

Cytochrome P-450 Enzyme SystemLiverHepatocytesHumansSmall Molecule LibrariesSpheroids, CellularStem CellsTissue EngineeringCytochrome P-450 Enzyme SystemSmall Molecule Librarieshepatocyte functionliverpluripotent stem cellregenerative medicinescreeningsmall molecules

Identifiers

PMID39329775
PMCPMC11430506

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.