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Multi-cell type human liver microtissues for hepatotoxicity testing

Overview of attention for article published in Archives of Toxicology, November 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

policy
1 policy source
patent
10 patents
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
271 Dimensions

Readers on

mendeley
307 Mendeley
citeulike
1 CiteULike
Title
Multi-cell type human liver microtissues for hepatotoxicity testing
Published in
Archives of Toxicology, November 2012
DOI 10.1007/s00204-012-0968-2
Pubmed ID
Authors

S. Messner, I. Agarkova, W. Moritz, J. M. Kelm

Abstract

Current 2-dimensional hepatic model systems often fail to predict chemically induced hepatotoxicity due to the loss of a hepatocyte-specific phenotype in culture. For more predictive in vitro models, hepatocytes have to be maintained in a 3-dimensional environment that allows for polarization and cell-cell contacts. Preferably, the model will reflect an in vivo-like multi-cell type environment necessary for liver-like responses. Here, we report the characterization of a multi-cell type microtissue model, generated from primary human hepatocytes and liver-derived non-parenchymal cells. Liver microtissues were stable and functional for 5 weeks in culture enabling, for example, long-term toxicity testing of acetaminophen and diclofenac. In addition, Kupffer cells were responsive to inflammatory stimuli such as LPS demonstrating the possibility to detect inflammation-mediated toxicity as exemplified by the drug trovafloxacin. Herewith, we present a novel 3D liver model for routine testing in 96-well format capable of reducing the risk of unwanted toxic effects in the clinic.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 307 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 3 <1%
United States 2 <1%
France 1 <1%
Canada 1 <1%
United Kingdom 1 <1%
Unknown 299 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 67 22%
Researcher 51 17%
Student > Master 50 16%
Student > Bachelor 27 9%
Other 22 7%
Other 32 10%
Unknown 58 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 67 22%
Agricultural and Biological Sciences 59 19%
Pharmacology, Toxicology and Pharmaceutical Science 40 13%
Engineering 25 8%
Medicine and Dentistry 19 6%
Other 31 10%
Unknown 66 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 August 2023.
All research outputs
#2,235,854
of 24,654,957 outputs
Outputs from Archives of Toxicology
#143
of 2,799 outputs
Outputs of similar age
#14,793
of 184,210 outputs
Outputs of similar age from Archives of Toxicology
#1
of 20 outputs
Altmetric has tracked 24,654,957 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,799 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 184,210 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.