Evidence map›Paper›PMID 30993668›Full record

ReviewClinical pharmacology and therapeutics2019

Liver Microphysiological Systems for Predicting and Evaluating Drug Effects.

Alexandre J S Ribeiro, Xinning Yang, Vikram Patel, Rajnikanth Madabushi, David G Strauss

Open access · bronzeAbstract readReview
In one paragraph

Review in Clinical pharmacology and therapeutics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

42 citing papers in PubMed, 102 citations in OpenAlex.

  1. Article
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  14. Microphysiological systems to advance human pathophysiology and translational medicine.Journal of applied physiology (Bethesda, Md. : 1985) · 2024
    Review
  15. Lipid Fraction fromAntioxidants (Basel, Switzerland) · 2024
    Article
  16. Review
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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 at 2 institutions in 1 country.

Alexandre J S RibeiroDivision of Applied Regulatory Science, Office of Translational Science, Office of Clinical Pharmacology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA.
Xinning YangOffice of Clinical Pharmacology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA.
Vikram PatelDivision of Applied Regulatory Science, Office of Translational Science, Office of Clinical Pharmacology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA.
Rajnikanth MadabushiOffice of Clinical Pharmacology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA.
David G StraussDivision of Applied Regulatory Science, Office of Translational Science, Office of Clinical Pharmacology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA.
Center for Drug Evaluation and Research · USUnited States Food and Drug Administration · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver plays a major role in drug metabolism and is one of the main sites of drug adverse effects. Microphysiological systems (MPS), also known as organs-on-a-chip, are a class of microfluidic platforms that recreate properties of tissue microenvironments. Among different properties, the liver microenvironment is three-dimensional, fluid flows around its cells, and different cell types regulate its function. Liver MPS aim to recreate these properties and enable drug testing and measurement of functional endpoints. Tests with these systems have demonstrated their potential for predicting clinical drug effects. Properties of liver MPS that improve the physiology of cell culture are reviewed, specifically focusing on the importance of recreating a physiological microenvironment to evaluate and model drug effects. Advances in modeling hepatic function by leveraging MPS are addressed, noting the need for standardization in the use, quality control, and interpretation of data from these systems.

Indexed as

Lab-On-A-Chip DevicesModels, BiologicalDrug Evaluation, PreclinicalHumansLiverMicrofluidic Analytical Techniques

Identifiers

PMID30993668
PMCPMC6771674
OpenAlexW2937351955

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.