Evidence map›Paper›PMID 39185458›Full record

ArticleFrontiers in aging neuroscience2024

Modeling APOE ε4 familial Alzheimer's disease in directly converted 3D brain organoids.

Yunkyung Kim, Hongwon Kim, Byounggook Cho, Saemin An, Soi Kang, Sumin Kim, Jongpil Kim

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
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  6. Review
  7. Epigenetic Dynamics in Reprogramming to Dopaminergic Neurons for Parkinson's Disease.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    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.

Yunkyung Kim *Department of Chemistry, Dongguk University, Seoul, Republic of Korea.
Hongwon Kim *Department of Chemistry, Dongguk University, Seoul, Republic of Korea.
Byounggook Cho *Department of Chemistry, Dongguk University, Seoul, Republic of Korea.
Saemin AnDepartment of Chemistry, Dongguk University, Seoul, Republic of Korea.
Soi KangDepartment of Chemistry, Dongguk University, Seoul, Republic of Korea.
Sumin KimDepartment of Chemistry, Dongguk University, Seoul, Republic of Korea.
Jongpil KimDepartment of Chemistry, Dongguk University, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain organoids have become a valuable tool for studying human brain development, disease modeling, and drug testing. However, generating brain organoids with mature neurons is time-intensive and often incomplete, limiting their utility in studying age-related neurodegenerative diseases such as Alzheimer's disease (AD). Here, we report the generation of 3D brain organoids from human fibroblasts through direct reprogramming, with simplicity, efficiency, and reduced variability. We also demonstrate that induced brain organoids from APOE ε4 AD patient fibroblasts capture some disease-specific features and pathologies associated with APOE ε4 AD. Moreover, APOE ε4-induced brain organoids with mutant APP overexpression faithfully recapitulate the acceleration of AD-related pathologies, providing a more physiologically relevant and patient-specific model of familial AD. Importantly, transcriptome analysis reveals that gene sets specific to APOE ε4 patient-induced brain organoids are highly similar to those of APOE ε4 post-mortem AD brains. Overall, induced brain organoids from direct reprogramming offer a promising approach for more efficient and controlled studies of neurodegenerative disease modeling.

Indexed as

3D modelingAlzheimer’s diseaseamyloid-betaapolipoprotein Edirect conversion

Identifiers

PMID39185458
PMCPMC11341472

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LicenceCC BY
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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 OpenQuestion graph.