Evidence map›Paper›PMID 35447710›Full record

ReviewBioengineering (Basel, Switzerland)2022

Application of Micro-Engineered Kidney, Liver, and Respiratory System Models to Accelerate Preclinical Drug Testing and Development.

Hanieh Gholizadeh, Shaokoon Cheng, Agisilaos Kourmatzis, Hanwen Xing, Daniela Traini, Paul M Young, Hui Xin Ong

Abstract readReview
In one paragraph

Review in Bioengineering (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

7 authors.

Hanieh GholizadehMacquarie Medical School, Faculty of Medicine, Health, and Human Sciences, Macquarie University, Ryde, NSW 2109, Australia.
Shaokoon ChengSchool of Engineering, Faculty of Science and Engineering, Macquarie University, Ryde, NSW 2113, Australia.
Agisilaos KourmatzisSchool of Aerospace, Mechanical and Mechatronic Engineering, The University of Sydney, Sydney, NSW 2006, Australia.
Hanwen XingFaculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW 2007, Australia.
Daniela TrainiMacquarie Medical School, Faculty of Medicine, Health, and Human Sciences, Macquarie University, Ryde, NSW 2109, Australia.ORCID 0000-0002-7173-017X
Paul M YoungRespiratory Technology, The Woolcock Institute of Medical Research, The University of Sydney, Sydney, NSW 2037, Australia.
Hui Xin OngMacquarie Medical School, Faculty of Medicine, Health, and Human Sciences, Macquarie University, Ryde, NSW 2109, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Developing novel drug formulations and progressing them to the clinical environment relies on preclinical in vitro studies and animal tests to evaluate efficacy and toxicity. However, these current techniques have failed to accurately predict the clinical success of new therapies with a high degree of certainty. The main reason for this failure is that conventional in vitro tissue models lack numerous physiological characteristics of human organs, such as biomechanical forces and biofluid flow. Moreover, animal models often fail to recapitulate the physiology, anatomy, and mechanisms of disease development in human. These shortfalls often lead to failure in drug development, with substantial time and money spent. To tackle this issue, organ-on-chip technology offers realistic in vitro human organ models that mimic the physiology of tissues, including biomechanical forces, stress, strain, cellular heterogeneity, and the interaction between multiple tissues and their simultaneous responses to a therapy. For the latter, complex networks of multiple-organ models are constructed together, known as multiple-organs-on-chip. Numerous studies have demonstrated successful application of organ-on-chips for drug testing, with results comparable to clinical outcomes. This review will summarize and critically evaluate these studies, with a focus on kidney, liver, and respiratory system-on-chip models, and will discuss their progress in their application as a preclinical drug-testing platform to determine in vitro drug toxicology, metabolism, and transport. Further, the advances in the design of these models for improving preclinical drug testing as well as the opportunities for future work will be discussed.

Indexed as

body-on-chipdisease-on-chipdrug discoverydrug transportmetabolismorgan-on-chiptoxicology

Identifiers

PMID35447710
PMCPMC9025644

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.