Evidence map›Paper›PMID 35939692›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Muscle degeneration in chronic massive rotator cuff tears of the shoulder: Addressing the real problem using a graphene matrix.

Nikoo Saveh Shemshaki, Ho-Man Kan, Mohammed Barajaa, Takayoshi Otsuka, Amir Lebaschi, Neha Mishra, Lakshmi S Nair, Cato T Laurencin

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. 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
6.3field-weighted citation impact, top 3% 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, 31 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Classes of Stem Cells: From Biology to Engineering.Regenerative engineering and translational medicine · 2024
    Article
  9. Review
  10. Article
  11. Animal Models of Osteoarthritis: Updated Models and Outcome Measures 2016-2023.Regenerative engineering and translational medicine · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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

8 authors at 2 institutions in 1 country.

Nikoo Saveh ShemshakiConnecticut Convergence Institute for Translation in Regenerative Engineering, University of Connecticut Health, Farmington, CT 06030.
Ho-Man KanConnecticut Convergence Institute for Translation in Regenerative Engineering, University of Connecticut Health, Farmington, CT 06030.
Mohammed BarajaaConnecticut Convergence Institute for Translation in Regenerative Engineering, University of Connecticut Health, Farmington, CT 06030.
Takayoshi OtsukaConnecticut Convergence Institute for Translation in Regenerative Engineering, University of Connecticut Health, Farmington, CT 06030.ORCID 0000-0002-7954-0637
Amir LebaschiDepartment of Orthopedic Surgery, University of Connecticut Health Center, Farmington, CT 06030.
Neha MishraDepartment of Pathobiology and Veterinary Science, University of Connecticut, Storrs, CT 06269.
Lakshmi S NairConnecticut Convergence Institute for Translation in Regenerative Engineering, University of Connecticut Health, Farmington, CT 06030.
Cato T LaurencinConnecticut Convergence Institute for Translation in Regenerative Engineering, University of Connecticut Health, Farmington, CT 06030.ORCID 0000-0001-6765-3047
University of Connecticut · USUConn Health · US

Funding

Regenerative Engineering of Complex Musculoskeletal Tissues and JointsDP1AR068147 · NIAMS · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI LAURENCIN, CATO T. · 2014 to 2018
$4.1M
HHS | National Institutes of Health (NIH) DP1AR068147NIAMS NIH HHS DP1 AR068147
6 · The paper itself

Abstract

Massive rotator cuff tears (MRCTs) of the shoulder cause disability and pain among the adult population. In chronic injuries, the tendon retraction and subsequently the loss of mechanical load lead to muscle atrophy, fat accumulation, and fibrosis formation over time. The intrinsic repair mechanism of muscle and the successful repair of the torn tendon cannot reverse the muscle degeneration following MRCTs. To address these limitations, we developed an electroconductive matrix by incorporating graphene nanoplatelets (GnPs) into aligned poly(l-lactic acid) (PLLA) nanofibers. This study aimed to understand 1) the effects of GnP matrices on muscle regeneration and inhibition of fat formation in vitro and 2) the ability of GnP matrices to reverse muscle degenerative changes in vivo following an MRCT. The GnP matrix significantly increased myotube formation, which can be attributed to enhanced intracellular calcium ions in myoblasts. Moreover, the GnP matrix suppressed adipogenesis in adipose-derived stem cells. These results supported the clinical effects of the GnP matrix on reducing fat accumulation and muscle atrophy. The histological evaluation showed the potential of the GnP matrix to reverse muscle atrophy, fat accumulation, and fibrosis in both supraspinatus and infraspinatus muscles at 24 and 32 wk after the chronic MRCTs of the rat shoulder. The pathological evaluation of internal organs confirmed the long-term biocompatibility of the GnP matrix. We found that reversing muscle degenerative changes improved the morphology and tensile properties of the tendon compared with current surgical techniques. The long-term biocompatibility and the ability of the GnP matrix to treat muscle degeneration are promising for the realization of MRCT healing and regeneration.

Indexed as

GraphiteMuscle, SkeletalMuscular AtrophyNanoparticlesRotator Cuff InjuriesAnimalsFibrosisRatsRats, Sprague-DawleyRegenerationShoulderGraphitefat accumulationgraphenemuscle degenerationrotator cuff tears

Identifiers

PMID35939692
PMCPMC9388153
OpenAlexW4290725296

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.