ArticleGene expression2019
Long-Term Engineered Cultures of Primary Mouse Hepatocytes for Strain and Species Comparison Studies During Drug Development.
Article in Gene expression, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- Spatial patterning strategies for liver tissue engineering: Biofabrication technologies and applications.Advanced drug delivery reviews · 2026Review
- Two Birds with One Stone: A Novel Dithiomaleimide-Based GalNAc-siRNA Conjugate Enabling Good siRNA Delivery and Traceability.Molecules (Basel, Switzerland) · 2023Article
- A human iPSC-derived hepatocyte screen identifies compounds that inhibit production of Apolipoprotein B.Communications biology · 2023Article
- Reanalysis of Trichloroethylene and Tetrachloroethylene Metabolism to Glutathione Conjugates Using Human, Rat, and Mouse LiverEnvironmental health perspectives · 2022Article
- Latest impact of engineered human liver platforms on drug development.APL bioengineering · 2021Review
Corrections and comments
- Erratum issuedERRATUM.2020
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Testing drugs in isogenic rodent strains to satisfy regulatory requirements is insufficient for derisking organ toxicity in genetically diverse human populations; in contrast, advances in mouse genetics can help mitigate these limitations. Compared to the expensive and slower in vivo testing, in vitro cultures enable the testing of large compound libraries toward prioritizing lead compounds and selecting an animal model with human-like response to a compound. In the case of the liver, a leading cause of drug attrition, isolated primary mouse hepatocytes (PMHs) rapidly decline in function within current culture platforms, which restricts their use for assessing the effects of longer-term compound exposure. Here we addressed this challenge by fabricating mouse micropatterned cocultures (mMPCC) containing PMHs and 3T3-J2 murine embryonic fibroblasts that displayed 4 weeks of functions; mMPCCs created from either C57Bl/6J or CD-1 PMHs outperformed collagen/Matrigel™ sandwich-cultured hepatocyte monocultures by ∼143-fold, 413-fold, and 10-fold for albumin secretion, urea synthesis, and cytochrome P450 activities, respectively. Such functional longevity of mMPCCs enabled in vivo relevant comparisons across strains for CYP induction and hepatotoxicity following exposure to 14 compounds with subsequent comparison to responses in primary human hepatocytes (PHHs). In conclusion, mMPCCs display high levels of major liver functions for several weeks and can be used to assess strain- and species-specific compound effects when used in conjunction with responses in PHHs. Ultimately, mMPCCs can be used to leverage the power of mouse genetics for characterizing subpopulations sensitive to compounds, characterizing the degree of interindividual variability, and elucidating genetic determinants of severe hepatotoxicity in humans.
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What OpenQuestion holds
Registered trials
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.