Evidence map›Paper›PMID 32344649›Full record

ReviewMolecules (Basel, Switzerland)2020

Induced Pluripotent Stem Cell (iPSC)-Based Neurodegenerative Disease Models for Phenotype Recapitulation and Drug Screening.

Chia-Yu Chang, Hsiao-Chien Ting, Ching-Ann Liu, Hong-Lin Su, Tzyy-Wen Chiou, Shinn-Zong Lin, Horng-Jyh Harn, Tsung-Jung Ho

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 2 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

67 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  10. Current Development of iPSC-Based Modeling in Neurodegenerative Diseases.International journal of molecular sciences · 2025
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7 more citing papers are in PubMed but not listed here.

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

8 authors.

Chia-Yu ChangBioinnovation Center, Buddhist Tzu Chi Medical Foundation, Hualien 970, Taiwan.ORCID 0000-0002-3585-5944
Hsiao-Chien TingBioinnovation Center, Buddhist Tzu Chi Medical Foundation, Hualien 970, Taiwan.
Ching-Ann LiuBioinnovation Center, Buddhist Tzu Chi Medical Foundation, Hualien 970, Taiwan.
Hong-Lin SuBioinnovation Center, Buddhist Tzu Chi Medical Foundation, Hualien 970, Taiwan.
Tzyy-Wen ChiouBioinnovation Center, Buddhist Tzu Chi Medical Foundation, Hualien 970, Taiwan.
Shinn-Zong LinBioinnovation Center, Buddhist Tzu Chi Medical Foundation, Hualien 970, Taiwan.
Horng-Jyh HarnBioinnovation Center, Buddhist Tzu Chi Medical Foundation, Hualien 970, Taiwan.
Tsung-Jung HoDepartment of Chinese Medicine, Hualien Tzu Chi Hospital, Hualien 970, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neurodegenerative diseases represent a significant unmet medical need in our aging society. There are no effective treatments for most of these diseases, and we know comparatively little regarding pathogenic mechanisms. Among the challenges faced by those involved in developing therapeutic drugs for neurodegenerative diseases, the syndromes are often complex, and small animal models do not fully recapitulate the unique features of the human nervous system. Human induced pluripotent stem cells (iPSCs) are a novel technology that ideally would permit us to generate neuronal cells from individual patients, thereby eliminating the problem of species-specificity inherent when using animal models. Specific phenotypes of iPSC-derived cells may permit researchers to identify sub-types and to distinguish among unique clusters and groups. Recently, iPSCs were used for drug screening and testing for neurologic disorders including Alzheimer's disease (AD), amyotrophic lateral sclerosis (ALS), spinocerebellar atrophy (SCA), and Zika virus infection. However, there remain many challenges still ahead, including how one might effectively recapitulate sporadic disease phenotypes and the selection of ideal phenotypes and for large-scale drug screening. Fortunately, quite a few novel strategies have been developed that might be combined with an iPSC-based model to solve these challenges, including organoid technology, single-cell RNA sequencing, genome editing, and deep learning artificial intelligence. Here, we will review current applications and potential future directions for iPSC-based neurodegenerative disease models for critical drug screening.

Indexed as

Drug DiscoveryDrug Evaluation, PreclinicalAnimalsCell DifferentiationDisease SusceptibilityHumansInduced Pluripotent Stem CellsNeurodegenerative DiseasesNeurogliaNeuronsPhenotypedrug screeningiPSCneurodegenerative diseases

Identifiers

PMID32344649
PMCPMC7221979

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.