Evidence map›Paper›PMID 28596791›Full record

ReviewStem cells international2017

In Utero Stem Cell Transplantation: Potential Therapeutic Application for Muscle Diseases.

Neeladri Chowdhury, Atsushi Asakura

Abstract readReview
In one paragraph

Review in Stem cells international, 2017. 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. Current Status of Cellular and Gene-Based Therapies for Congenital Metabolic Disorders: A Review.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Review
  2. Effective restoration of dystrophin expression in iPSCComputational and structural biotechnology journal · 2020
    Article
  3. What Do Animal Models Teach Us About Congenital Craniofacial Defects?Advances in experimental medicine and biology · 2020
    Review
  4. Article
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

2 authors.

Neeladri ChowdhuryStem Cell Institute, University of Minnesota Medical School, Minneapolis, MN 55455, USA.
Atsushi AsakuraStem Cell Institute, University of Minnesota Medical School, Minneapolis, MN 55455, USA.ORCID 0000-0001-8078-1027

Funding

Genetically Engineered Muscle Stem Cell Transplantation for Muscular Dystrophy...R01AR062142 · NIAMS · UNIVERSITY OF MINNESOTA · PI ASAKURA, ATSUSHI · 2012 to 2016
$1.6M
Engineering iPSC-Derived Skeletal Muscle and Cells for TransplantationR21AR070319 · NIAMS · UNIVERSITY OF MINNESOTA · PI ASAKURA, ATSUSHI · 2016 to 2017
$372k
NIAMS NIH HHS R01 AR062142NIAMS NIH HHS R21 AR070319
6 · The paper itself

Abstract

Muscular dystrophies, myopathies, and traumatic muscle injury and loss encompass a large group of conditions that currently have no cure. Myoblast transplantations have been investigated as potential cures for these conditions for decades. However, current techniques lack the ability to generate cell numbers required to produce any therapeutic benefit. In utero stem cell transplantation into embryos has been studied for many years mainly in the context of hematopoietic cells and has shown to have experimental advantages and therapeutic applications. Moreover, patient-derived cells can be used for experimental transplantation into nonhuman animal embryos via in utero injection as the immune response is absent at such early stages of development. We therefore propose in utero transplantation as a potential method to generate patient-derived humanized skeletal muscle as well as muscle stem cells in animals for therapeutic purposes as well as patient-specific drug screening.

Identifiers

PMID28596791
PMCPMC5450178

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.