Evidence map›Paper›PMID 38927400›Full record

ArticleBiomedicines2024

Generation of Alzheimer's Disease Model Derived from Induced Pluripotent Stem Cells with

Yena Kim, Binna Yun, Byoung Seok Ye, Bo-Young Kim

Abstract read
In one paragraph

Article in Biomedicines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Article
  3. 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

4 authors.

Yena KimDivision of Intractable Disease Research, Department of Chronic Disease Convergence Research, Korea National Institute of Health, Cheongju 28160, Republic of Korea.ORCID 0000-0002-6847-0469
Binna YunDivision of Intractable Disease Research, Department of Chronic Disease Convergence Research, Korea National Institute of Health, Cheongju 28160, Republic of Korea.
Byoung Seok YeDepartment of Neurology, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.
Bo-Young KimDivision of Intractable Disease Research, Department of Chronic Disease Convergence Research, Korea National Institute of Health, Cheongju 28160, Republic of Korea.ORCID 0000-0002-5659-2389

Funding

Korea National Institute of Health 2023-NI-011
6 · The paper itself

Abstract

Alzheimer's disease (AD), the most common cause of dementia, is characterized by disruptions in memory, cognition, and personality, significantly impacting morbidity and mortality rates among older adults. However, the exact pathophysiological mechanism of AD remains unknown, and effective treatment options for AD are still lacking. Human induced pluripotent stem cells (iPSC) are emerging as promising platforms for disease research, offering the ability to model the genetic mutations associated with various conditions. Patient-derived iPSCs are useful for modeling neurodegenerative and neurodevelopmental disorders. In this study, we generated AD iPSCs from peripheral blood mononuclear cells obtained from a 65-year-old patient with AD carrying the E682K mutation in the gene encoding the amyloid precursor protein. Cerebral organoids derived from AD iPSCs recapitulated the AD phenotype, exhibiting significantly increased levels of tau protein. Our analysis revealed that an iPSC disease model of AD is a valuable assessment tool for pathophysiological research and drug screening.

Indexed as

Alzheimer’s diseaseamyloid precursor proteincerebral organoiddisease modelingdrug screeninginduced pluripotent stem cellsorganoidstau pathology

Identifiers

PMID38927400
PMCPMC11201172

What OpenQuestion 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 OpenQuestion graph.