Evidence map›Paper›PMID 27725933›Full record

ReviewBioMed research international2016

Advances in Engineered Liver Models for Investigating Drug-Induced Liver Injury.

Christine Lin, Salman R Khetani

Open access · hybridAbstract readReview
In one paragraph

Review in BioMed research international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
11.1field-weighted citation impact, top 2% 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

27 citing papers in PubMed, 64 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Introducing CELLBLOKSIn vitro models · 2022
    Article
  7. Review
  8. Article
  9. Review
  10. Recent developments inDrug metabolism reviews · 2021
    Article
  11. Insulin-dependent glucose consumption dynamics in 3D primary human liver cultures measured by a sensitive and specific glucose sensor with nanoliter input volume.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2021
    Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. Review
  20. Advances in Engineered Human Liver Platforms for Drug Metabolism Studies.Drug metabolism and disposition: the biological fate of chemicals · 2018
    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

2 authors at 1 institution in 1 country.

Christine LinSchool of Biomedical Engineering, Colorado State University, Fort Collins, CO 80523, USA; Department of Bioengineering, University of Illinois at Chicago, Chicago, IL 60607, USA.
Salman R KhetaniDepartment of Bioengineering, University of Illinois at Chicago, Chicago, IL 60607, USA.ORCID 0000-0002-5407-6743
University of Illinois Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug-induced liver injury (DILI) is a major cause of drug attrition. Testing drugs on human liver models is essential to mitigate the risk of clinical DILI since animal studies do not always suffice due to species-specific differences in liver pathways. While primary human hepatocytes (PHHs) can be cultured on extracellular matrix proteins, a rapid decline in functions leads to low sensitivity (<50%) in DILI prediction. Semiconductor-driven engineering tools now allow precise control over the hepatocyte microenvironment to enhance and stabilize phenotypic functions. The latest platforms coculture PHHs with stromal cells to achieve hepatic stability and enable crosstalk between the various liver cell types towards capturing complex cellular mechanisms in DILI. The recent introduction of induced pluripotent stem cell-derived human hepatocyte-like cells can potentially allow a better understanding of interindividual differences in idiosyncratic DILI. Liver models are also being coupled to other tissue models via microfluidic perfusion to study the intertissue crosstalk upon drug exposure as in a live organism. Here, we review the major advances being made in the engineering of liver models and readouts as they pertain to DILI investigations. We anticipate that engineered human liver models will reduce drug attrition, animal usage, and cases of DILI in humans.

Indexed as

AnimalsCellular MicroenvironmentChemical and Drug Induced Liver InjuryExtracellular Matrix ProteinsHepatocytesHumansInduced Pluripotent Stem CellsLiverModels, BiologicalExtracellular Matrix Proteins

Identifiers

PMID27725933
PMCPMC5048025
OpenAlexW2522555374

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.