Evidence map›Paper›PMID 37334839›Full record

SynthesisDisease models & mechanisms2023

A systematic review of kidney-on-a-chip-based models to study human renal (patho-)physiology.

Vivian V T Nguyen, Vasiliki Gkouzioti, Christian Maass, Marianne C Verhaar, Robin W M Vernooij, Bas W M van Balkom

Abstract readSystematic Review
In one paragraph

Synthesis in Disease models & mechanisms, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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  18. Calcium signalling and transport in the kidney.Nature reviews. Nephrology · 2024
    Review
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

6 authors.

Vivian V T NguyenDepartment of Nephrology and Hypertension, UMC Utrecht, 3584CX Utrecht, The Netherlands.
Vasiliki GkouziotiDepartment of Nephrology and Hypertension, UMC Utrecht, 3584CX Utrecht, The Netherlands.
Christian MaassesqLABS GmbH, 26683 Saterland, Germany.
Marianne C VerhaarDepartment of Nephrology and Hypertension, UMC Utrecht, 3584CX Utrecht, The Netherlands.
Robin W M VernooijDepartment of Nephrology and Hypertension, UMC Utrecht, 3584CX Utrecht, The Netherlands.
Bas W M van BalkomDepartment of Nephrology and Hypertension, UMC Utrecht, 3584CX Utrecht, The Netherlands.ORCID 0000-0002-3204-2059

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As kidney diseases affect ∼10% of the world population, understanding the underlying mechanisms and developing therapeutic interventions are of high importance. Although animal models have enhanced knowledge of disease mechanisms, human (patho-)physiology may not be adequately represented in animals. Developments in microfluidics and renal cell biology have enabled the development of dynamic models to study renal (patho-)physiology in vitro. Allowing inclusion of human cells and combining different organ models, such as kidney-on-a-chip (KoC) models, enable the refinement and reduction of animal experiments. We systematically reviewed the methodological quality, applicability and effectiveness of kidney-based (multi-)organ-on-a-chip models, and describe the state-of-the-art, strengths and limitations, and opportunities regarding basic research and implementation of these models. We conclude that KoC models have evolved to complex models capable of mimicking systemic (patho-)physiological processes. Commercial chips and human induced pluripotent stem cells and organoids are important for KoC models to study disease mechanisms and assess drug effects, even in a personalized manner. This contributes to the Reduction, Refinement and Replacement of animal models for kidney research. A lack of reporting of intra- and inter-laboratory reproducibility and translational capacity currently hampers implementation of these models.

Indexed as

Induced Pluripotent Stem CellsKidney DiseasesAnimalsHumansKidneyLab-On-A-Chip DevicesReproducibility of ResultsIn vitro disease modelingMicrophysiological modelsNephron segmentsToxicology

Identifiers

PMID37334839
PMCPMC10309579

What Socratic holds

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Registered trials

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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 Socratic graph.