Evidence map›Paper›PMID 26323256›Full record

ReviewStem cell reviews and reports2015

Stem Cell Differentiation Toward the Myogenic Lineage for Muscle Tissue Regeneration: A Focus on Muscular Dystrophy.

Serge Ostrovidov, Xuetao Shi, Ramin Banan Sadeghian, Sahar Salehi, Toshinori Fujie, Hojae Bae, Murugan Ramalingam, Ali Khademhosseini

Open access · bronzeAbstract readReview
PubMed Publisher
In one paragraph

Review in Stem cell reviews and reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

16 citing papers in PubMed, 42 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Skeletal Muscle Tissue Engineering: From Tissue Regeneration to Biorobotics.Cyborg and bionic systems (Washington, D.C.) · 2025
    Review
  5. Article
  6. Bioprinting and biomaterials for dental alveolar tissue regeneration.Frontiers in bioengineering and biotechnology · 2023
    Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. 3D Bioprinting in Skeletal Muscle Tissue Engineering.Small (Weinheim an der Bergstrasse, Germany) · 2019
    Review
  12. Review
  13. Monitoring disease activity noninvasively in theProceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  14. Review
  15. Anisotropic Materials for Skeletal-Muscle-Tissue Engineering.Advanced materials (Deerfield Beach, Fla.) · 2016
    Review
  16. 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

8 authors at 6 institutions in 4 countries.

Serge OstrovidovWPI-Advanced Institute for Materials Research, Tohoku University, Sendai, 980-8577, Japan.
Xuetao ShiNational Engineering Research Center for Tissue Restoration and Reconstruction & School of Materials Science and Engineering, South China University of Technology, Guangzhou, 510640, People's Republic of China.
Ramin Banan SadeghianWPI-Advanced Institute for Materials Research, Tohoku University, Sendai, 980-8577, Japan.
Sahar SalehiWPI-Advanced Institute for Materials Research, Tohoku University, Sendai, 980-8577, Japan.
Toshinori FujieDepartment of Life Science and Medical Bioscience, School of Advanced Science and Engineering, Waseda University, Tokyo, 162-8480, Japan.
Hojae BaeCollege of Animal Bioscience and Technology, Department of Bioindustrial Technologies, Konkuk University, Hwayang-dong, Kwangjin-gu, Seoul, 143-701, Republic of Korea.
Murugan RamalingamWPI-Advanced Institute for Materials Research, Tohoku University, Sendai, 980-8577, Japan.
Ali KhademhosseiniWPI-Advanced Institute for Materials Research, Tohoku University, Sendai, 980-8577, Japan. alik@mit.edu.
Advanced Institute of Materials Science · JPChristian Medical College & Hospital · INKonkuk University · KRSouth China University of Technology · CNTohoku University · JPWaseda University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skeletal muscle tissue engineering is one of the important ways for regenerating functionally defective muscles. Among the myopathies, the Duchenne muscular dystrophy (DMD) is a progressive disease due to mutations of the dystrophin gene leading to progressive myofiber degeneration with severe symptoms. Although current therapies in muscular dystrophy are still very challenging, important progress has been made in materials science and in cellular technologies with the use of stem cells. It is therefore useful to review these advances and the results obtained in a clinical point of view. This article focuses on the differentiation of stem cells into myoblasts, and their application in muscular dystrophy. After an overview of the different stem cells that can be induced to differentiate into the myogenic lineage, we introduce scaffolding materials used for muscular tissue engineering. We then described some widely used methods to differentiate different types of stem cell into myoblasts. We highlight recent insights obtained in therapies for muscular dystrophy. Finally, we conclude with a discussion on stem cell technology. We discussed in parallel the benefits brought by the evolution of the materials and by the expansion of cell sources which can differentiate into myoblasts. We also discussed on future challenges for clinical applications and how to accelerate the translation from the research to the clinic in the frame of DMD.

Indexed as

Adult Stem CellsCell- and Tissue-Based TherapyCell DifferentiationCell LineageHumansMesenchymal Stem CellsMuscle DevelopmentMuscle, SkeletalMuscular Dystrophy, DuchenneRegenerationTissue EngineeringTissue ScaffoldsDMDMuscleMuscular dystrophyScaffoldStem cellsTissue engineering

Identifiers

PMID26323256
OpenAlexW1274582947

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.