Purpose: The purpose of the study was to determine molecular changes in selected epithelial proteins in human keratoconus (KC) corneas compared to normal corneas.
Methods: Two-dimensional (2-D) gel electrophoretic profiles of epithelial cell proteins from normal and keratoconus corneas were compared, and the selected protein spots that showed either up- or downregulation were identified. The desired spots were identified after trypsin digestion and mass spectrometric analysis. Based on the results, two proteins, alpha-enolase and beta-actin, were further analyzed by immunohistochemical and western blot methods, using respective antibodies. To determine the presence of mRNA of the two proteins in the epithelial cells, RT-PCR studies were performed.
Results: On comparison of the 2-D gel electrophoretic protein profiles, two protein spots were identified in normal corneas that were either absent or present at lower levels in keratoconus corneas. The two spots were determined to be alpha-enolase (48 kDa) and beta-actin (42 kDa) by matrix-assisted laser desorption ionization-time of flight (MALDI-TOF), and ES-MS/MS mass spectrometric methods. Immunohistochemical analysis revealed that alpha-enolase and beta-actin were present at extremely low levels in the epithelial superficial and wing cells of the keratoconus corneas compared to these cells of normal corneas. 2-D gel electrophoresis followed by western blot analysis revealed relatively greater degradation of the two proteins in the keratoconus corneas compared to normal corneas. RT-PCR analysis showed the mRNA expression of the two proteins in the epithelial cells of both normal and keratoconus corneas.
Conclusions: The results showed relatively low or negligible levels of alpha-enolase and beta-actin in the wing and superficial epithelial cells of keratoconus corneas compared to normal corneas. This was attributed to relatively greater degradation of the two proteins in keratoconus corneas compared to normal corneas.
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Cureus
November 2024
Department of Optometry, Noor Alyemen Eye and E.N.T Consulting Center, Sana'a, YEM.
Keratoconus is a bilateral eye anomaly in which the cornea develops gradually, becoming steeper and thinner, causing irregular astigmatism and myopia. This unique case report highlights an atypical retinoscopic reflex that can be observed in the initial stages of keratoconus. While the reflex deviates subtly from the normal form, exhibiting a slightly distorted, irregular, and non-scissoring pattern, it differs significantly from the well-documented "scissor reflex," which is characteristic of moderate to advanced stages.
View Article and Find Full Text PDFBiomimetics (Basel)
December 2024
Center for Advanced Eye Care, Vero Beach, FL 32960, USA.
We have compared the biomechanical properties of human and porcine corneas using vibrational optical coherence tomography (VOCT). The elastic modulus of the cornea has been previously reported in the literature to vary from about several kPa to more than several GPa based on the results of different techniques. In addition, the formation of corneal cones near the central cornea in keratoconus has been observed in the clinic.
View Article and Find Full Text PDFCureus
November 2024
Ophthalmology, International University of Health and Welfare, Chiba, JPN.
Keratoconus is a condition that causes progressive thinning and anterior protrusion of the cornea. Because of its irregular astigmatism, mild to moderate keratoconus is corrected with hard contact lenses (HCLs), but blepharoptosis due to the long-term wearing of HCLs is often a problem. In this study, we investigated blepharoptosis in HCL wearers with keratoconus.
View Article and Find Full Text PDFIndian J Ophthalmol
January 2025
Dr. Agarwal's Eye Hospital and Eye Research Centre, Chennai, Tamil Nadu, India.
Biomed Phys Eng Express
December 2024
ATISP laboratory, ENET'com, University of Sfax, Tunisia.
In this paper, an automated feature selection (FS) method is presented to optimize machine learning (ML) models' performances, enhancing early keratoconus screening. A total of 448 parameters were analyzed from a dataset comprising 3162 observations sourced from the swept source optical coherence tomography imaging system developed by the Chinese Academy of Sciences Institute of Automation (SS-1000 CASIA OCT) and electronic health records (EHR). To identify the most relevant features, the analysis of variance (ANOVA) method was used in this study.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!