Evidence map›Paper›PMID 30464300›Full record

ArticleScientific reports2018

Tendon Fascicle-Inspired Nanofibrous Scaffold of Polylactic acid/Collagen with Enhanced 3D-Structure and Biomechanical Properties.

Alberto Sensini, Chiara Gualandi, Andrea Zucchelli, Liam A Boyle, Alexander P Kao, Gwendolen C Reilly, Gianluca Tozzi, Luca Cristofolini, Maria Letizia Focarete

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Tendon regeneration deserves better: focused review onFrontiers in bioengineering and biotechnology · 2025
    Review
  7. Short-Term Electrical Stimulation Impacts Cardiac Cell Structure and Function.Journal of tissue engineering and regenerative medicine · 2025
    Article
  8. Article
  9. Review
  10. Article
  11. Frontiers in bioengineering and biotechnology · 2024
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Review
  18. Review
  19. Recent advances in tendon tissue engineering strategy.Frontiers in bioengineering and biotechnology · 2023
    Review
  20. 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

9 authors.

Alberto SensiniDepartment of Industrial Engineering, Alma Mater Studiorum - Università di Bologna, 40131, Bologna, Italy.ORCID http://orcid.org/0000-0003-0681-5887
Chiara GualandiDepartment of Chemistry "G. Ciamician" and National Consortium of Materials Science and Technology (INSTM, Bologna RU), Alma Mater Studiorum - Università di Bologna, 40126, Bologna, Italy.
Andrea ZucchelliDepartment of Industrial Engineering, Alma Mater Studiorum - Università di Bologna, 40131, Bologna, Italy.
Liam A BoyleINSIGNEO Institute for in silico Medicine, Department of Materials Science, University of Sheffield, Sheffield, S10 2TN, United Kingdom.
Alexander P KaoZEISS Global Centre, School of Mechanical and Design Engineering, University of Portsmouth, PO1 3DJ, Portsmouth, UK.ORCID http://orcid.org/0000-0001-5376-1661
Gwendolen C ReillyINSIGNEO Institute for in silico Medicine, Department of Materials Science, University of Sheffield, Sheffield, S10 2TN, United Kingdom.ORCID http://orcid.org/0000-0003-1456-1071
Gianluca TozziZEISS Global Centre, School of Mechanical and Design Engineering, University of Portsmouth, PO1 3DJ, Portsmouth, UK.
Luca CristofoliniDepartment of Industrial Engineering, Alma Mater Studiorum - Università di Bologna, 40131, Bologna, Italy.ORCID http://orcid.org/0000-0002-7473-6868
Maria Letizia FocareteDepartment of Chemistry "G. Ciamician" and National Consortium of Materials Science and Technology (INSTM, Bologna RU), Alma Mater Studiorum - Università di Bologna, 40126, Bologna, Italy. marialetizia.focarete@unibo.it.ORCID http://orcid.org/0000-0002-0458-7836

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surgical treatment of tendon lesions still yields unsatisfactory clinical outcomes. The use of bioresorbable scaffolds represents a way forward to improve tissue repair. Scaffolds for tendon reconstruction should have a structure mimicking that of the natural tendon, while providing adequate mechanical strength and stiffness. In this paper, electrospun nanofibers of two crosslinked PLLA/Collagen blends (PLLA/Coll-75/25, PLLA/Coll-50/50) were developed and then wrapped in bundles, where the nanofibers are predominantly aligned along the bundles. Bundle morphology was assessed via SEM and high-resolution x-ray computed tomography (XCT). The 0.4-micron resolution in XCT demonstrated a biomimetic morphology of the bundles for all compositions, with a predominant nanofiber alignment and some scatter (50-60% were within 12° from the axis of the bundle), similar to the tendon microstructure. Human fibroblasts seeded on the bundles had increased metabolic activity from day 7 to day 21 of culture. The stiffness, strength and toughness of the bundles are comparable to tendon fascicles, both in the as-spun condition and after crosslinking, with moderate loss of mechanical properties after ageing in PBS (7 and 14 days). PLLA/Coll-75/25 has more desirable mechanical properties such as stiffness and ductility, compared to the PLLA/Coll-50/50. This study confirms the potential to bioengineer tendon fascicles with enhanced 3D structure and biomechanical properties.

Indexed as

Biomechanical PhenomenaCollagenPolyestersBioengineeringBiomimetic MaterialsHumansMicroscopy, Electrochemical, ScanningNanofibersRegenerative MedicineTissue ScaffoldsTomography, X-Ray ComputedCollagenPolyesterspoly(lactide)

Identifiers

PMID30464300
PMCPMC6249227

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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.