Evidence map›Paper›PMID 40587046›Full record

ReviewStem cell reviews and reports2025

Induced Pluripotent Stem Cells Derived Cellular Models for Investigating Parkinson's Disease Pathogenesis and Drug Screening.

Jihong Liu, Wanlin Zhao, Zijuan Zhang, Xilei Ai, Bing Cao, Zhenqiang Zhang, Dongrui Ma

Abstract readReview
PubMed Publisher
In one paragraph

Review in Stem cell reviews and reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Jihong LiuThe First Affiliated Hospital of Henan University of Chinese Medicine, Henan University of Chinese Medicine, Zhengzhou, 450003, China.
Wanlin ZhaoAcademy of Chinese Medical Sciences, Henan University of Chinese Medicine, Zhengzhou, 450046, China.
Zijuan ZhangSchool of Medical Sciences, Henan University of Chinese Medicine, Zhengzhou, 450046, China.
Xilei AiAcademy of Chinese Medical Sciences, Henan University of Chinese Medicine, Zhengzhou, 450046, China.
Bing CaoAcademy of Chinese Medical Sciences, Henan University of Chinese Medicine, Zhengzhou, 450046, China.
Zhenqiang ZhangAcademy of Chinese Medical Sciences, Henan University of Chinese Medicine, Zhengzhou, 450046, China. zzqkyc@hactcm.edu.cn.
Dongrui MaAcademy of Chinese Medical Sciences, Henan University of Chinese Medicine, Zhengzhou, 450046, China. dongruima@hactcm.edu.cn.ORCID 0000-0003-1024-1660

Funding

Ministry of Scientific and Technological Development, Higher Education and Information Society No.242102311286
6 · The paper itself

Abstract

Parkinson's disease (PD) is the second most common neurodegenerative disorder, affecting millions worldwide. The complexity of PD has hindered the development of accurate disease models. Induced pluripotent stem cells (iPSCs), derived from patient-specific cells, offer a promising platform for modeling PD. This review discusses the development of PD models using iPSCs from different patient sources, focusing on 2D and 3D culture systems. We also explore the integration of iPSCs with advanced technologies like multi-omics, tissue engineering, and gene editing, and their potential to drive breakthroughs in disease modeling. Co-culture systems of iPSC-derived neurons and glial cells provide insights into cell-cell interactions in PD, while 3D brain region-specific organoids enhance understanding of interregional disease processes. Advances in multi-omics and gene editing have further propelled iPSC-based disease modeling, offering new avenues for investigating disease mechanisms and therapeutic screening.

Indexed as

Induced Pluripotent Stem CellsModels, BiologicalParkinson DiseaseAnimalsDrug Evaluation, PreclinicalGene EditingHumansNeuronsOrganoidsDisease modelingInduced pluripotent stem cellsiPSC-derived neuronsOrganoidParkinson’s disease

Identifiers

What OpenQuestion holds

Textmetadata
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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.