Evidence map›Paper›PMID 21809328›Full record

ArticleBiotechnology and bioengineering2012

A theoretical approach to zonation in a bioartificial liver.

Adam J Davidson, Marianne J Ellis, Julian B Chaudhuri

Open access · bronzeAbstract read
In one paragraph

Article in Biotechnology and bioengineering, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Hollow Fiber Bioreactors for In Vivo-like Mammalian Tissue Culture.Journal of visualized experiments : JoVE · 2016
    Article
  5. Article
  6. Article
  7. Review
  8. NovelToxicology research · 2013
    Review
  9. Toxicology research · 2013
    Article
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

3 authors at 1 institution in 1 country.

Adam J DavidsonCentre for Regenerative Medicine, Department of Chemical Engineering, University of Bath, Bath BA2 7AY, UK.
Marianne J Ellis
Julian B Chaudhuri
University of Bath · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bioartificial livers have yet to gain clinical acceptance. In a previous study, a theoretical model was utilized to create operating region charts that graphically illustrated viable bioartificial liver configurations. On this basis a rationale for the choice of operating and design parameters for the device was created. The concept is extended here to include aspects of liver zonation for further design optimization. In vivo, liver cells display heterogeneity with respect to metabolic activity according to their position in the liver lobule. It is thought that oxygen tension is a primary modulator of this heterogeneity and on this assumption a theoretical model to describe the metabolic zonation within an in vitro bioartificial liver device has been adopted. The distribution of the metabolic zones under varying design and operating parameters is examined. In addition, plasma flow rates are calculated that give rise to an equal distribution of the metabolic zones. The results show that when a clinically relevant number of cells are contained in the BAL (10 billion), it is possible to constrain each of the three metabolic zones to approximately one-third of the cell volume. This is the case for a number of different bioreactor designs. These considerations allow bioartificial liver design to be optimized.

Indexed as

Liver, ArtificialModels, TheoreticalEquipment DesignHepatocytesLiverOxygenOxygen

Identifiers

PMID21809328
PMCPMC3579238
OpenAlexW2131769580

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.