Evidence map›Paper›PMID 30470798›Full record

ArticleScientific reports2018

Modeling Diabetic Corneal Neuropathy in a 3D In Vitro Cornea System.

Phillip M Deardorff, Tina B McKay, Siran Wang, Chiara E Ghezzi, Dana M Cairns, Rosalyn D Abbott, James L Funderburgh, Kenneth R Kenyon, David L Kaplan

Open access · goldAbstract 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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Engineering a multicompartment in vitro model for dorsal root ganglia phenotypic assessment.Journal of biomedical materials research. Part B, Applied biomaterials · 2023
    Article
  7. Review
  8. Review
  9. Review
  10. Microphysiological Systems: Design, Fabrication, and Applications.ACS biomaterials science & engineering · 2020
    Article
  11. Article
  12. 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 at 3 institutions in 1 country.

Phillip M DeardorffDepartment of Biomedical Engineering, Tufts University, Medford, MA, 02155, USA.
Tina B McKayDepartment of Biomedical Engineering, Tufts University, Medford, MA, 02155, USA.
Siran WangDepartment of Biomedical Engineering, Tufts University, Medford, MA, 02155, USA.
Chiara E GhezziDepartment of Biomedical Engineering, Tufts University, Medford, MA, 02155, USA.ORCID http://orcid.org/0000-0002-9800-4397
Dana M CairnsDepartment of Biomedical Engineering, Tufts University, Medford, MA, 02155, USA.
Rosalyn D AbbottDepartment of Biomedical Engineering, Tufts University, Medford, MA, 02155, USA.
James L FunderburghDepartment of Ophthalmology, University of Pittsburgh, Pittsburgh, PA, 15213, USA.
Kenneth R KenyonDepartment of Ophthalmology, Tufts New England Medical Center, Boston, MA, USA.
David L KaplanDepartment of Biomedical Engineering, Tufts University, Medford, MA, 02155, USA. david.kaplan@tufts.edu.ORCID http://orcid.org/0000-0002-9245-7774
Tufts University · USTufts Medical Center · USUniversity of Pittsburgh · US

Funding

Translational Bioreactors - Engineering Complex TissuesP41EB002520 · NIBIB · TUFTS UNIVERSITY MEDFORD · PI KAPLAN, DAVID L. · 2004 to 2018
$16.7M
Tissue Engineering Cornea ReplacementsR01EY020856 · NEI · TUFTS UNIVERSITY MEDFORD · PI KAPLAN, DAVID L. · 2010 to 2016
$2.7M
Acquisition of Leica confocal/multiphoton microscopeS10OD021624 · OD · TUFTS UNIVERSITY MEDFORD · PI GEORGAKOUDI, IRENE · 2016 to 2016
$600k
U.S. Department of Health & Human Services | National Institutes of Health (NIH) P41EB002520U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01EY020856U.S. Department of Health & Human Services | National Institutes of Health (NIH) RO1EY016415U.S. Department of Health & Human Services | National Institutes of Health (NIH) S10OD021624
6 · The paper itself

Abstract

Diabetes mellitus is a disease caused by innate or acquired insulin deficiency, resulting in altered glucose metabolism and high blood glucose levels. Chronic hyperglycemia is linked to development of several ocular pathologies affecting the anterior segment, including diabetic corneal neuropathy and keratopathy, neovascular glaucoma, edema, and cataracts leading to significant visual defects. Due to increasing disease prevalence, related medical care costs, and visual impairment resulting from diabetes, a need has arisen to devise alternative systems to study molecular mechanisms involved in disease onset and progression. In our current study, we applied a novel 3D in vitro model of the human cornea comprising of epithelial, stromal, and neuronal components cultured in silk scaffolds to study the pathological effects of hyperglycemia on development of diabetic corneal neuropathy. Specifically, exposure to sustained levels of high glucose, ranging from 35 mM to 45 mM, were applied to determine concentration-dependent effects on nerve morphology, length and density of axons, and expression of metabolic enzymes involved in glucose metabolism. By comparing these metrics to in vivo studies, we have developed a functional 3D in vitro model for diabetic corneal neuropathy as a means to investigate corneal pathophysiology resulting from prolonged exposure to hyperglycemia.

Indexed as

Models, BiologicalCells, CulturedCorneaCorneal DiseasesDiabetes ComplicationsDiabetes MellitusDiabetic NeuropathiesGlucoseHumansHyperglycemiaIn Vitro TechniquesPeripheral Nervous System DiseasesSweetening AgentsGlucoseSweetening Agents

Identifiers

PMID30470798
PMCPMC6251923
OpenAlexW2901480965

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.