Evidence map›Paper›PMID 35334720›Full record

ReviewMicromachines2022

Microfluidic Organ-on-a-Chip Devices for Liver Disease Modeling In Vitro.

Perizat Kanabekova, Adina Kadyrova, Gulsim Kulsharova

Open access · goldAbstract readReview
In one paragraph

Review in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

30 citing papers in PubMed, 62 citations in OpenAlex.

  1. Review
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  6. Lessons Learned from Liver-on-Chip Platform.Annals of biomedical engineering · 2025
    Review
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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

3 authors at 1 institution in 1 country.

Perizat KanabekovaSchool of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan 010000, Kazakhstan.ORCID 0000-0001-5753-4271
Adina KadyrovaDepartment of Biological Sciences, School of Sciences and Humanities, Nazarbayev University, Nur-Sultan 010000, Kazakhstan.
Gulsim KulsharovaSchool of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan 010000, Kazakhstan.ORCID 0000-0003-0642-5512
Nazarbayev University · KZ

Funding

Ministry of Education and Science of the Republic of Kazakhstan Grant for young researchers AP09058308Nazarbayev University Faculty-development researc 080420FD1910
6 · The paper itself

Abstract

Mortality from liver disease conditions continues to be very high. As liver diseases manifest and progress silently, prompt measures after diagnosis are essential in the treatment of these conditions. Microfluidic organs-on-chip platforms have significant potential for the study of the pathophysiology of liver diseases in vitro. Different liver-on-a-chip microphysiological platforms have been reported to study cell-signaling pathways such as those activating stellate cells within liver diseases. Moreover, the drug efficacy for liver conditions might be evaluated on a cellular metabolic level. Here, we present a comprehensive review of microphysiological platforms used for modelling liver diseases. First, we briefly introduce the concept and importance of organs-on-a-chip in studying liver diseases in vitro, reflecting on existing reviews of healthy liver-on-a-chip platforms. Second, the techniques of cell cultures used in the microfluidic devices, including 2D, 3D, and spheroid cells, are explained. Next, the types of liver diseases (NAFLD, ALD, hepatitis infections, and drug injury) on-chip are explained for a further comprehensive overview of the design and methods of developing liver diseases in vitro. Finally, some challenges in design and existing solutions to them are reviewed.

Indexed as

liver diseaseliver-on-chipmicrofluidic devicesorgan-on-chip

Identifiers

PMID35334720
PMCPMC8950395
OpenAlexW4220880013

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.