Evidence map›Paper›PMID 29992215›Full record

ArticleLab on a chip2018

Microphysiological flux balance platform unravels the dynamics of drug induced steatosis.

Avner Ehrlich, Sabina Tsytkin-Kirschenzweig, Konstantinos Ioannidis, Muneef Ayyash, Anne Riu, Reine Note, Gladys Ouedraogo, Jan Vanfleteren, Merav Cohen, Yaakov Nahmias

Open access · bronzeAbstract read
In one paragraph

Article in Lab on a chip, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

19 citing papers in PubMed, 40 citations in OpenAlex.

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  11. Microfluidic systems for modeling human development.Development (Cambridge, England) · 2022
    Article
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  16. Article
  17. Liver-on-a-Chip Models of Fatty Liver Disease.Hepatology (Baltimore, Md.) · 2020
    Review
  18. Article
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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

10 authors at 3 institutions in 7 countries.

Avner EhrlichGrass Center for Bioengineering, Benin School of Computer Science and Engineering, Jerusalem 91904, Israel. ynahmias@cs.huji.ac.il.
Sabina Tsytkin-Kirschenzweig
Konstantinos Ioannidis
Muneef Ayyash
Anne Riu
Reine Note
Gladys Ouedraogo
Jan Vanfleteren
Merav Cohen
Yaakov Nahmias
Jerusalem College of Technology · ILL'Oréal (France) · FROracle (United States) · US

Funding

Gene Network Based Differentiation of Stem Cells in a Microfabricated ArrayK01DK080241 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI NAHMIAS, YAAKOV · 2008 to 2012
$727k
European Research Council 681870NIDDK NIH HHS K01 DK080241
6 · The paper itself

Abstract

Drug development is currently hampered by the inability of animal experiments to accurately predict human response. While emerging organ on chip technology offers to reduce risk using microfluidic models of human tissues, the technology still mostly relies on end-point assays and biomarker measurements to assess tissue damage resulting in limited mechanistic information and difficulties to detect adverse effects occurring below the threshold of cellular damage. Here we present a sensor-integrated liver on chip array in which oxygen is monitored using two-frequency phase modulation of tissue-embedded microprobes, while glucose, lactate and temperature are measured in real time using microfluidic electrochemical sensors. Our microphysiological platform permits the calculation of dynamic changes in metabolic fluxes around central carbon metabolism, producing a unique metabolic fingerprint of the liver's response to stimuli. Using our platform, we studied the dynamics of human liver response to the epilepsy drug Valproate (Depakine™) and the antiretroviral medication Stavudine (Zerit™). Using E6/E7LOW hepatocytes, we show TC50 of 2.5 and 0.8 mM, respectively, coupled with a significant induction of steatosis in 2D and 3D cultures. Time to onset analysis showed slow progressive damage starting only 15-20 hours post-exposure. However, flux analysis showed a rapid disruption of metabolic homeostasis occurring below the threshold of cellular damage. While Valproate exposure led to a sustained 15% increase in lipogenesis followed by mitochondrial stress, Stavudine exposure showed only a transient increase in lipogenesis suggesting disruption of β-oxidation. Our data demonstrates the importance of tracking metabolic stress as a predictor of clinical outcome.

Indexed as

Lab-On-A-Chip DevicesCell LineHepatocytesHumansMetabolic Flux AnalysisNon-alcoholic Fatty Liver DiseaseStavudineValproic AcidStavudineValproic Acid

Identifiers

PMID29992215
PMCPMC7004819
OpenAlexW2810065091

What OpenQuestion holds

Textmetadata
LicenceTDM
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.