Evidence map›Paper›PMID 32143423›Full record

ReviewMolecules (Basel, Switzerland)2020

Unprecedented Potential for Neural Drug Discovery Based on Self-Organizing hiPSC Platforms.

Agustín Cota-Coronado, Jennifer C Durnall, Néstor Fabián Díaz, Lachlan H Thompson, N Emmanuel Díaz-Martínez

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 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. Article
  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.

Agustín Cota-CoronadoMedical and Pharmaceutical Biotechnology, Center for Research and Assistance in Technology and Design of the State of Jalisco, CIATEJ A.C, 800 Normalistas, Colinas de La Normal, Guadalajara 44270, Jalisco, Mexico.
Jennifer C DurnallThe Florey Institute of Neuroscience and Mental Health, 30 Royal Parade, Parkville, VIC 3052, Australia.ORCID 0000-0002-0178-7023
Néstor Fabián DíazDepartamento de Fisiología y Desarrollo Celular, Instituto Nacional de Perinatología, Mexico City 11000, Mexico.
Lachlan H ThompsonThe Florey Institute of Neuroscience and Mental Health, 30 Royal Parade, Parkville, VIC 3052, Australia.
N Emmanuel Díaz-MartínezMedical and Pharmaceutical Biotechnology, Center for Research and Assistance in Technology and Design of the State of Jalisco, CIATEJ A.C, 800 Normalistas, Colinas de La Normal, Guadalajara 44270, Jalisco, Mexico.

Funding

CONACYT 271307, 272968
6 · The paper itself

Abstract

Human induced pluripotent stem cells (hiPSCs) have transformed conventional drug discovery pathways in recent years. In particular, recent advances in hiPSC biology, including organoid technologies, have highlighted a new potential for neural drug discovery with clear advantages over the use of primary tissues. This is important considering the financial and social burden of neurological health care worldwide, directly impacting the life expectancy of many populations. Patient-derived iPSCs-neurons are invaluable tools for novel drug-screening and precision medicine approaches directly aimed at reducing the burden imposed by the increasing prevalence of neurological disorders in an aging population. 3-Dimensional self-assembled or so-called 'organoid' hiPSCs cultures offer key advantages over traditional 2D ones and may well be gamechangers in the drug-discovery quest for neurological disorders in the coming years.

Indexed as

Cell Culture TechniquesDrug DiscoveryHumansInduced Pluripotent Stem CellsOrganoids3D culturedrug-discovery platformshigh-throughput screeninghiPSCsself-assembly organoids

Identifiers

PMID32143423
PMCPMC7179160

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.