The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Evaluation of a microfluidic based cell culture platform with primary human hepatocytes for the prediction of hepatic clearance in human
Open accessAbstract
Integral to the discovery of new pharmaceutical entities is the ability to predict in vivo pharmacokinetic parameters from early stage in vitro data generated prior to the onset of clinical testing. Within the pharmaceutical industry, a whole host of assay methods and mathematical models exist to predict the in vivo pharmacokinetic parameters of drug candidates. One of the most important pharmacokinetic properties of new drug candidates predicted from these methods and models is the hepatic clearance. Current methods, while useful, are still limited in their predictive efficacy. In order to address this issue, we have established a novel microfluidic in vitro culture system, the patented HμREL® device. The device comprises multiple compartments that are designed to be proportional to the physiological architectures and enhanced with the consideration of flow. Here we demonstrate the functionality of the liver-relevant chamber in the HμREL® device, and the feasibility of utilizing our system for predicting hepatic clearance. Cryopreserved human hepatocytes from a single donor were seeded within the HμREL® device to predict the in vivo hepatic clearance (CLH) of six marketed model compounds (carbamazepine, caffeine, timolol, sildenafil, imipramine, and buspirone). The intrinsic clearance rates from static culture controls, as well as clearance rates from the HμREL® device were subsequently compared to in vivo data available from the literature.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Concordance of the toxicity of pharmaceuticals in humans and in animals
Olson, H., Betton, G., Robinson, D., Thomas, K., Monro, A., Kolaja, G., Lilly, P., Sanders, J., Sipes, G., Bracken, W., et al. (2000) · Regulatory Toxicology and Pharmacology · doi:10.1006/rtph.2000.1399 · Cited by 2,050
Pang, K. S., & Rowland, M. (1977) · Journal of Pharmacokinetics and Biopharmaceutics · doi:10.1007/bf01059688 · Cited by 797 · cited 2×
“A well-defined and widely used well-stirred model [10] is used to scale-up the in vitro intrinsic clearance obtained from the static culture conditions to the estimated hepatic clearance (CLH), assuming the drug is totally unbound in the serum-free culture medium:”
Cited by
Bhatia, S. N., & Ingber, D. E. (2014) · Nature Biotechnology · doi:10.1038/nbt.2989 · Cited by 3,305
Organs-on-chips at the frontiers of drug discovery
Esch, E. W., Bahinski, A., & Huh, D. (2015) · Nature Reviews Drug Discovery · doi:10.1038/nrd4539 · Cited by 1,185
A guide to the organ-on-a-chip
Leung, C. M., de Haan, P., Ronaldson-Bouchard, K., Kim, G.-A., Ko, J., Rho, H. S., Chen, Z., Habibovic, P., Jeon, N. L., Takayama, S., et al. (2022) · Nature Reviews Methods Primers · doi:10.1038/s43586-022-00118-6 · Cited by 1,116
Advances in organ-on-a-chip engineering
Zhang, B., Korolj, A., Lai, B. F. L., & Radisic, M. (2018) · Nature Reviews Materials · doi:10.1038/s41578-018-0034-7 · Cited by 1,017
Three-Dimensional Cell Cultures in Drug Discovery and Development
Fang, Y., & Eglen, R. M. (2017) · SLAS Discovery · doi:10.1177/1087057117696795 · Cited by 849
Metadata
- Authors
- Chao, P., Maguire, T., Novik, E., Cheng, K.-C., & Yarmush, M. L.
- Venue
- Biochemical Pharmacology
- Publisher
- Elsevier BV
- Published
- 2009-09
- Volume
- 78
- Issue
- 6
- Pages
- 625-632
- ISSN
- 0006-2952 (ISSN-L)
- OpenAlex
- W2110637491
- Cited by
- 161
- References
- 2
- FWCI
- 9.90
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Evaluation of a microfluidic based cell culture platform with primary human hepatocytes for the prediction of hepatic clearance in human. https://app.cochat.ai/papers/10.1016/j.bcp.2009.05.013
- The paper
- Chao, P., Maguire, T., Novik, E., Cheng, K.-C., & Yarmush, M. L. (2009). Evaluation of a microfluidic based cell culture platform with primary human hepatocytes for the prediction of hepatic clearance in human. Biochemical Pharmacology. https://doi.org/10.1016/j.bcp.2009.05.013
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.