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Bioengineering
Special Issues
Ophthalmic Engineering 2.0
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Ophthalmic Engineering 2.0

A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Regenerative Engineering".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 1107

Special Issue Editor

Prof. Dr. Xiaofei Wang

E-Mail Website
Guest Editor
School of Biological Science and Medical Engineering, Beihang University, Beijing, China
Interests: biomechanics; ophthalmology; image processing; artificial intelligence; eye movement
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The majority of people rely on their eyes to perceive and make sense of the world. However, the eye and the visual system are vulnerable to diseases and disorders at every stage of life. At present, at least 2.2 billion people around the world have a vision impairment, according to the World Report On Vision by WHO.

Recent advances in bioengineering are conveying exciting changes to the field of ophthalmology and visual science. Engineering methods such as biomechanics, novel imaging modalities, tissue engineering, virtual reality and artificial intelligence have exhibited great success with regard to diagnosing, treating and understanding the mechanisms of various eye diseases.

In this Special Issue, we will focus on the vast range of potential bioengineering methods to be applied and their applications in ophthalmology and visual science. Both original research contributions and review papers are welcome. Topics may include, but are not limited to, the following:

  • ocular biomechanics;
  • ophthalmic imaging;
  • artificial intelligence in ophthalmology;
  • virtual reality;
  • biomolecular, cellular and tissue engineering in ophthalmology;
  • novel diagnostic and treatment methods in ophthalmology;
  • material characterization of ocular tissue.

Prof. Dr. Xiaofei Wang
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Bioengineering is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • ophthalmology
  • biomechanics
  • eye
  • medical imaging
  • optical coherence tomography
  • artificial intelligence
  • deep learning
  • virtual reality
  • medical device
  • finite element method
  • inverse analysis

Published Papers (1 paper)

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Research

12 pages, 785 KiB  
Article
Mendelian Randomisation Analysis of Causal Association between Lifestyle, Health Factors, and Keratoconus
by Jiaxuan Cheng, Lanting Yang, Yishan Ye, Lvfu He, Shihao Chen and Junjie Wang
Bioengineering 2024, 11(3), 221; https://doi.org/10.3390/bioengineering11030221 - 26 Feb 2024
Viewed by 848
Abstract
Keratoconus (KC), a leading cause of vision impairment, has an unclear aetiology. This study used Mendelian randomization (MR) to explore the causal links between various factors (smoking, asthma, Down syndrome, inflammatory bowel disease, atopic dermatitis, and serum 25-hydroxyvitamin D levels) and KC. A [...] Read more.
Keratoconus (KC), a leading cause of vision impairment, has an unclear aetiology. This study used Mendelian randomization (MR) to explore the causal links between various factors (smoking, asthma, Down syndrome, inflammatory bowel disease, atopic dermatitis, and serum 25-hydroxyvitamin D levels) and KC. A two-sample MR design, grounded in genome-wide association study (GWAS) summary statistics, was adopted using data from FinnGen, UK Biobank, and other GWAS-related articles. The inverse-variance weighted (IVW) method was employed, complemented by the Wald ratio method for factors with only one single-nucleotide polymorphism (SNP). Sensitivity and stability were assessed through Cochrane’s Q test, the MR-Egger intercept test, MR-PRESSO outlier test, and the leave-one-out analysis. The IVW results for the ORA (Ocular Response Analyzer) biomechanical parameters indicated significant associations between tobacco smoking (CH: p < 0.001; CRF: p = 0.009) and inflammatory bowel disease (CH: p = 0.032; CRF: p = 0.001) and corneal biomechanics. The Wald ratio method showed tobacco smoking was associated with a lower risk of KC (p = 0.024). Conversely, asthma (p = 0.009), atopic dermatitis (p = 0.012), inflammatory bowel disease (p = 0.017), and serum 25-hydroxyvitamin D levels (p = 0.039) were associated with a higher risk of KC by IVW, and the same applied to Down syndrome (p = 0.004) using the Wald ratio. These results underscore the role of corneal biomechanics as potential mediators in KC risk, warranting further investigation using Corvis ST and Brillouin microscopy. The findings emphasise the importance of timely screening for specific populations in KC prevention and management. Full article
(This article belongs to the Special Issue Ophthalmic Engineering 2.0)
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