Evidence map›Paper›PMID 28662401›Full record

ArticleBiomaterials2017

Fibrillin-2 and Tenascin-C bridge the age gap in lung epithelial regeneration.

Sarah E Gilpin, Qiyao Li, Daniele Evangelista-Leite, Xi Ren, Dieter P Reinhardt, Brian L Frey, Harald C Ott

Open access · greenAbstract read
In one paragraph

Article in Biomaterials, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
5.7field-weighted citation impact, top 4% 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

35 citing papers in PubMed, 61 citations in OpenAlex.

  1. Article
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  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. The evolution ofEuropean respiratory review : an official journal of the European Respiratory Society · 2024
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Basic Science Perspective on Engineering and Modeling the Large Airways.Advances in experimental medicine and biology · 2023
    Article
  15. Lung Tissue Engineering: Toward a More Deliberate Approach.ACS biomaterials science & engineering · 2022
    Review
  16. Review
  17. Review
  18. Article
  19. Article
  20. 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

7 authors at 3 institutions in 1 country.

Sarah E GilpinCenter for Regenerative Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States. Electronic address: sgilpin@mgh.harvard.edu.
Qiyao LiDepartment of Chemistry, University of Wisconsin-Madison, Madison, WI, United States.
Daniele Evangelista-LeiteCenter for Regenerative Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Xi RenCenter for Regenerative Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Dieter P ReinhardtDepartment of Anatomy and Cell Biology, McGill University, Montreal, QC, United States; Faculty of Dentistry, McGill University, Montreal, QC, United States.
Brian L FreyDepartment of Chemistry, University of Wisconsin-Madison, Madison, WI, United States.
Harald C OttCenter for Regenerative Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Harvard University · USUniversity of Wisconsin–Madison · USMassachusetts General Hospital · US

Funding

Regeneration of Multi-Layered Vocal Fold MucosaR01DC010777 · NIDCD · UNIVERSITY OF WISCONSIN-MADISON · PI WELHAM, NATHAN · 2010 to 2020
$5.3M
NIDCD NIH HHS R01 DC010777
6 · The paper itself

Abstract

Organ engineering based on native matrix scaffolds involves combining regenerative cell populations with corresponding biological matrices to form functional grafts on-demand. The extracellular matrix (ECM) that is retained following lung decellularization provides essential structure and biophysical cues for whole organ regeneration after recellularization. The unique ECM composition in the early post-natal lung, during active alveologenesis, may possess distinct signals that aid in driving cell adhesion, survival, and proliferation. We evaluated the behavior of basal epithelial stem cells (BESCs) isolated from adult human lung tissue, when cultured on acellular ECM derived from neonatal (aged < 1 week) or adult lung donors (n = 3 donors per group). A significant difference in cell proliferation and survival was found. We next performed in-depth proteomic analysis of the lung scaffolds to quantify proteins significantly enriched in the neonatal ECM, and identified the glycoproteins Fibrillin-2 (FBN-2) and Tenascin-C (TN-C) as potential mediators of the observed effect. BESCs cultured on Collagen Type IV coated plates, supplemented with FBN-2 and TN-C demonstrated significantly increased proliferation and decreased cellular senescence. No significant increase in epithelial-to-mesenchymal transition was observed. In vitro migration was also increased by FBN-2 and TN-C treatment. Decellularized lung scaffolds treated with FBN-2 and TN-C prior to re-epithelialization supported greater epithelial proliferation and tissue remodeling. BESC distribution, matrix alignment, and overall tissue morphology was improved on treated lung scaffolds, after 3 and 7 days of ex vivo lung culture. These results demonstrate that scaffold re-epithelialization is enhanced on neonatal lung ECM, and that supplementation of FBN-2 and TN-C to the native scaffold may be a valuable tool in lung tissue regeneration.

Indexed as

Re-EpithelializationTissue ScaffoldsAnimalsCell ProliferationCells, CulturedExtracellular MatrixFibrillin-2HumansInfantLungMiddle AgedRatsTenascinTissue EngineeringFibrillin-2TenascinDecellularizationEpitheliumExtracellular matrixLungRegeneration

Identifiers

PMID28662401
PMCPMC5553709
OpenAlexW2713709209

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.