Evidence map›Paper›PMID 34831254›Full record

ReviewCells2021

Application of Induced Pluripotent Stem Cells for Disease Modeling and 3D Model Construction: Focus on Osteoarthritis.

Joel Jihwan Hwang, Jinhyeok Choi, Yeri Alice Rim, Yoojun Nam, Ji Hyeon Ju

Abstract readReview
In one paragraph

Review in Cells, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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

5 authors.

Joel Jihwan HwangCollege of Public Health and Social Justice, Saint Louis University, St. Louis, MO 63103, USA.
Jinhyeok ChoiYiPSCELL, Inc., 39 Banpo-daero, Seocho-gu, Seoul 06579, Korea.
Yeri Alice RimCatholic iPSC Research Center, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea.ORCID 0000-0001-9541-3075
Yoojun NamYiPSCELL, Inc., 39 Banpo-daero, Seocho-gu, Seoul 06579, Korea.
Ji Hyeon JuYiPSCELL, Inc., 39 Banpo-daero, Seocho-gu, Seoul 06579, Korea.ORCID 0000-0002-1381-5466

Funding

National Research Foundation of Korea NRF-2020R1A2C3004123, NRF-2021R1C1C2004688
6 · The paper itself

Abstract

Since their discovery in 2006, induced pluripotent stem cells (iPSCs) have shown promising potential, specifically because of their accessibility and plasticity. Hence, the clinical applicability of iPSCs was investigated in various fields of research. However, only a few iPSC studies pertaining to osteoarthritis (OA) have been performed so far, despite the high prevalence rate of degenerative joint disease. In this review, we discuss some of the most recent applications of iPSCs in disease modeling and the construction of 3D models in various fields, specifically focusing on osteoarthritis and OA-related conditions. Notably, we comprehensively reviewed the successful results of iPSC-derived disease models in recapitulating OA phenotypes for both OA and early-onset OA to encompass their broad etiology. Moreover, the latest publications with protocols that have used iPSCs to construct 3D models in recapitulating various conditions, particularly the OA environment, were further discussed. With the overall optimistic results seen in both fields, iPSCs are expected to be more widely used for OA disease modeling and 3D model construction, which could further expand OA drug screening, risk assessment, and therapeutic capabilities.

Indexed as

Models, BiologicalCell DifferentiationHumansInduced Pluripotent Stem CellsOsteoarthritisdisease modelinginduced pluripotent stem cellosteoarthritis

Identifiers

PMID34831254
PMCPMC8622662

What OpenQuestion holds

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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 OpenQuestion graph.