Evidence map›Paper›PMID 36365119›Full record

ReviewPharmaceutics2022

Human Brain Organoids-on-Chip: Advances, Challenges, and Perspectives for Preclinical Applications.

Héloïse Castiglione, Pierre-Antoine Vigneron, Camille Baquerre, Frank Yates, Jessica Rontard, Thibault Honegger

Abstract readReview
In one paragraph

Review in Pharmaceutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
–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

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

6 authors.

Héloïse CastiglioneNETRI, 69007 Lyon, France.ORCID 0000-0002-7543-0836
Pierre-Antoine VigneronSup'Biotech/CEA-IBFJ-SEPIA, Bâtiment 60, 18 Route du Panorama, 94260 Fontenay-aux-Roses, France.ORCID 0000-0003-2918-0909
Camille BaquerreNETRI, 69007 Lyon, France.
Frank YatesSup'Biotech/CEA-IBFJ-SEPIA, Bâtiment 60, 18 Route du Panorama, 94260 Fontenay-aux-Roses, France.
Jessica RontardNETRI, 69007 Lyon, France.
Thibault HoneggerNETRI, 69007 Lyon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is an urgent need for predictive in vitro models to improve disease modeling and drug target identification and validation, especially for neurological disorders. Cerebral organoids, as alternative methods to in vivo studies, appear now as powerful tools to decipher complex biological processes thanks to their ability to recapitulate many features of the human brain. Combining these innovative models with microfluidic technologies, referred to as brain organoids-on-chips, allows us to model the microenvironment of several neuronal cell types in 3D. Thus, this platform opens new avenues to create a relevant in vitro approach for preclinical applications in neuroscience. The transfer to the pharmaceutical industry in drug discovery stages and the adoption of this approach by the scientific community requires the proposition of innovative microphysiological systems allowing the generation of reproducible cerebral organoids of high quality in terms of structural and functional maturation, and compatibility with automation processes and high-throughput screening. In this review, we will focus on the promising advantages of cerebral organoids for disease modeling and how their combination with microfluidic systems can enhance the reproducibility and quality of these in vitro models. Then, we will finish by explaining why brain organoids-on-chips could be considered promising platforms for pharmacological applications.

Indexed as

brain organoid-on-chipneurotoxicitypredictive human based in vitro modelsreproducibilitystandardization

Identifiers

PMID36365119
PMCPMC9699341

What OpenQuestion holds

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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.