Evidence map›Paper›PMID 31916190›Full record

ReviewStem cell reviews and reports2020

Patient-Specific Cells for Modeling and Decoding Amyotrophic Lateral Sclerosis: Advances and Challenges.

Andong Zhao, Yu Pan, Sa Cai

Abstract readReview
PubMed Publisher
In one paragraph

Review in Stem cell reviews and reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.0field-weighted citation impact, top 20% of its field
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

13 citing papers in PubMed, 14 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. In Vitro 3D Modeling of Neurodegenerative Diseases.Bioengineering (Basel, Switzerland) · 2023
    Review
  9. Review
  10. Fostering mesenchymal stem cell therapy to halt cytokine storm in COVID-19.Biochimica et biophysica acta. Molecular basis of disease · 2021
    Review
  11. Article
  12. Organ on a Chip: A NovelFrontiers in neurology · 2021
    Review
  13. 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

3 authors at 2 institutions in 1 country.

Andong ZhaoHealth Science Center, Shenzhen University, Shenzhen, 518060, China.
Yu PanDepartment of Trauma and Orthopedics, The 2nd Affiliated Hospital of Shenzhen University, The Affiliated Baoan Hospital of Southern Medical University, Shenzhen, 518101, China. Pan-yu@hotmail.com.
Sa CaiHealth Science Center, Shenzhen University, Shenzhen, 518060, China. caisa@szu.edu.cn.ORCID 0000-0002-1370-0028
Shenzhen University Health Science Center · CNShenzhen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motor neuron loss or degeneration is the typical characteristic of amyotrophic lateral sclerosis (ALS), which often leads to weakness, paralysis, or even death. The underlying mechanisms of motor neuron degeneration and ALS progression remain elusive, and there is no effective treatment for ALS. The advances of stem cells and reprogramming techniques has made it possible to generate patient-specific motor neurons as cell models for studying disease mechanisms and drug discovery. This review comprehensively discusses recent approaches to generate motor neurons from stem cells and somatic cells and highlights the application of induced motor neurons to modeling ALS diseases, dissecting the pathogenesis, and screening new drugs. New perspectives are also discussed on generating patient-specific motor neuron subtypes that are affected by ALS or creating 3D spinal cord organoid models for better recapitulating and understanding ALS.

Indexed as

Models, BiologicalAmyotrophic Lateral SclerosisCellular ReprogrammingDrug DiscoveryHumansMotor NeuronsMutationALSDrug discoveryInduced pluripotent stem cellMotor neuronPathogenesisReprogrammingTransdifferentiation

Identifiers

PMID31916190
OpenAlexW3000568325

What OpenQuestion holds

Textmetadata
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.