Evidence map›Paper›PMID 31803484›Full record

ReviewBMJ open diabetes research & care2019

Experimental modeling of cornea wound healing in diabetes: clinical applications and beyond.

Yashan Bu, Kendrick Co Shih, Sum Sum Kwok, Yau Kei Chan, Amy Cheuk-Yin Lo, Tommy Chung Yan Chan, Vishal Jhanji, Louis Tong

Open access · goldAbstract readReview
In one paragraph

Review in BMJ open diabetes research & care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
6.4field-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

29 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Corneal Epithelial Changes in Diabetic Patients: A Review.International journal of molecular sciences · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Animal Models in Eye Research: Focus on Corneal Pathologies.International journal of molecular sciences · 2023
    Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Molecular Pharmacology of Inflammation Resolution in Atherosclerosis.International journal of molecular sciences · 2022
    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

8 authors at 4 institutions in 3 countries.

Yashan BuDepartment of Ophthalmology, University of Hong Kong, Hong Kong.
Kendrick Co ShihDepartment of Ophthalmology, University of Hong Kong, Hong Kong.ORCID 0000-0001-6255-2941
Sum Sum KwokDepartment of Ophthalmology, University of Hong Kong, Hong Kong.
Yau Kei ChanDepartment of Ophthalmology, University of Hong Kong, Hong Kong.
Amy Cheuk-Yin LoDepartment of Ophthalmology, University of Hong Kong, Hong Kong.
Tommy Chung Yan ChanDepartment of Ophthalmology, Hong Kong Sanatorium and Hospital, Hong Kong.
Vishal JhanjiDepartment of Ophthalmology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
Louis TongDepartment of Ophthalmology, Singapore National Eye Centre, Singapore.
University of Hong Kong · HKHong Kong Sanatorium and Hospital · HKSingapore National Eye Center · SGUniversity of Pittsburgh Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus is the most common cause of blindness in working age populations worldwide. While much of the focus for public health has been on secondary prevention in sight-threatening diabetic retinopathy, the cornea, including its epithelium and nerves, represents a major site of damage by chronic hyperglycemia. On injury, the diabetic cornea exhibits a delayed wound-healing response, as well as an altered ocular surface immune response. This suggests a potential association between the dysfunctional wound healing response and altered inflammation on the ocular surface. However, the presence of potential confounders makes this association difficult to investigate in human epidemiological studies. Thus, we turn to animal diabetic models for a better understanding. In this review, 20 original studies, published between 2008 and 2018, describe in vivo and in vitro models of diabetic cornea disease. We compared different models of diabetic cornea wound healing and discussed the relative strengths and drawbacks of each model. A number of molecular and cellular components involved in the corneal wound healing response that are altered in the presence of diabetes have been identified in the reviewed studies. Particularly, altered corneal epithelial protein concentrations of lumician and occludin were detected in diabetic eyes compared with controls. Additionally, the importance of IL-1β in modulating the inflammatory response after corneal injury in patients with diabetes and controls was further elucidated. Meanwhile, abnormal P2×7 receptor localization and decreased corneal sub-basal nerve density in diabetic eyes were shown to contribute to altered corneal nerve signaling after injury and thus affecting the wound healing response. Finally, the discovery of the therapeutic effects of topically administered aloe vera, Serpine 1, Resolvin D1 (RvD1), pigment epithelium-derived factor (PEDF) and Pro-His-Ser-Arg-Asn in diabetic animal models of cornea epithelial and nerve injury provide encouraging evidence for the future availability of effective treatment for diabetic keratopathy.

Indexed as

Disease Models, AnimalWound HealingAnimalsCorneal InjuriesDiabetes ComplicationsDiabetes Mellitus, ExperimentalHumansanimal modelsdiabetes, cornea, epithelial wound healingimmunityin vitro models

Identifiers

PMID31803484
PMCPMC6887488
OpenAlexW2990894004

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.