Engineered Liver Platforms for Different Phases of Drug Development
Ware BR., Khetani SR.
Clinical Trial on Hip, published in Trends Biotechnol (2017) — summary generated from the PubMed abstract.
Several human studies show positive signals, while research methods and sample sizes continue to develop.
- Level A · Stronger Clinical Evidence
- Level B · Emerging clinical evidence with positive signals
- Level C · Early human research exploring benefits
- Level D · Scientific groundwork from lab and animal studies
- Emerging · Emerging topic under active research
This page is generated from the PubMed record. The Thai description is an automated summary of bibliographic fields and the abstract, not a full translation, and is not medical advice.
- Study type
- Clinical Trial
- Journal
- Trends Biotechnol (2017)
- Reported sample size
- —
- Source database
- Europe PMC
- PMID
- 27592803
- PMCID
- PMC5253249
- DOI
- 10.1016/j.tibtech.2016.08.001
- Citations
- 65
Abstract (original English)
Drug-induced liver injury (DILI) remains a leading cause of drug withdrawal from human clinical trials or the marketplace. Owing to species-specific differences in liver pathways, predicting human-relevant DILI using in vitro human liver models is crucial. Microfabrication tools allow precise control over the cellular microenvironment towards stabilizing liver functions for weeks. These tools are used to engineer human liver models with different complexities and throughput using cell lines, primary cells, and stem cell-derived hepatocytes. Including multiple human liver cell types can mimic cell-cell interactions in specific types of DILI. Finally, organ-on-a-chip models demonstrate how drug metabolism in the liver affects multi-organ toxicities. In this review we survey engineered human liver platforms within the needs of different phases of drug development.
What this study does not prove
- • This study does not prove SVF is an approved treatment or a replacement for standard care.
Evidence level
Several human studies show positive signals, while research methods and sample sizes continue to develop.
How we grade evidenceBrowse all related research
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