Evidence map›Paper›PMID 40498018›Full record

ReviewCells2025

Brain Organoids and Assembloids-From Disease Modeling to Drug Discovery.

Aderonke O Ajongbolo, Sigrid A Langhans

Abstract readReview
In one paragraph

Review in Cells, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

2 authors.

Aderonke O AjongboloDivision of Neurology, Nemours Children's Health, Wilmington, DE 19803, USA.
Sigrid A LanghansDivision of Neurology, Nemours Children's Health, Wilmington, DE 19803, USA.ORCID 0000-0003-4695-7468

Funding

Vivarium CoreP30GM145765 · NIGMS · DELAWARE STATE UNIVERSITY · PI MELISSA A HARRINGTON · 2022 to 2026
$7.7M
Targeting mechanosignaling in pediatric brain cancerR01CA263216 · NCI · NEMOURS CHILDREN'S HOSPITAL, DELAWARE · PI Sigrid A Langhans · 2022 to 2026
$1.6M
NCI NIH HHS R01 CA263216NIGMS NIH HHS P30 GM145765NIH HHS CA263216NIH HHS P30GM145765
6 · The paper itself

Abstract

Brain organoids are self-organized, three-dimensional (3D) aggregates derived from human embryonic stem cells, induced pluripotent stem cells, or primary organs with cell types and cellular architectures resembling those of the developing human brain. Recent studies have shown the use of region-specific brain organoids for modeling various diseases ranging from neurodevelopmental and neurodegenerative diseases to different brain cancers, which have numerous applications in fundamental research and the development of new drugs, personalized treatment, and regenerative medicine. Consequently, the use of brain organoids in drug discovery is complex and challenging and still an emerging area in this field. This review article summarizes the primary stem cells used in brain organoid generation, region-specific brain organoids, and the functional assays used in their characterization. In addition, we discuss the use of brain organoids in modeling neurodevelopmental and neurodegenerative diseases and pediatric brain cancers, as well as the application of organoids, assembloids, and tumoroids in cancer neuroscience. We further explore the recent advances in using brain organoids in high-throughput screening to improve their use for drug discovery.

Indexed as

BrainDrug DiscoveryModels, BiologicalOrganoidsAnimalsBrain NeoplasmsHumansInduced Pluripotent Stem CellsNeurodegenerative Diseasesbrainbrain cancercancer neurosciencecerebellumdrug discoveryhigh-throughput screening (HTS)neurodegenerationneurodevelopmental diseaseneuropsychiatric disorderorganoidsubstance abuse

Identifiers

PMID40498018
PMCPMC12155111

What Socratic 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 Socratic graph.