Purpose: To introduce the use of corneal epithelial mapping by anterior segment optical coherence tomography (AS-OCT) as an ancillary testing for the identification of areas of loose epithelial adherence in recurrent corneal erosion syndrome (RCES), and the subsequent treatment of the latter with anterior stromal puncture (ASP).
Methods: Five patients were presented with RCES following traumatic corneal abrasions. Following resolution of acute episodes, AS-OCT epithelial mapping was performed revealing in all patients an area of increased epithelial thickness (hot spot) corresponding to the site of loose attachment of the epithelium to the epithelial basement membrane. ASP to the area of epithelial thickening, as delineated by the epithelial map, was performed.
Results: To date, none of the patients has shown any signs of disease recurrence over a period ranging from 6 to 20 months following the application of epithelial map-guided ASP.
Conclusions: AS-OCT epithelial mapping can reveal the exact area of loose epithelial adherence in RCES. Hence, epithelial mapping can delineate the target area for treatment with ASP and may decrease the high failure rates of ASP.
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http://dx.doi.org/10.1007/s10792-018-0891-5 | DOI Listing |
Commun Biol
December 2024
Department of Epidemiology and Biostatistics, School of Public Health, Peking University; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China.
Cardiovascular diseases (CVDs) and cerebrovascular diseases (CeVDs) are closely related vascular diseases, sharing common cardiometabolic risk factors (RFs). Although pleiotropic genetic variants of these two diseases have been reported, their underlying pathological mechanisms are still unclear. Leveraging GWAS summary data and using genetic correlation, pleiotropic variants identification, and colocalization analyses, we identified 11 colocalized loci for CVDs-CeVDs-BP (blood pressure), CVDs-CeVDs-LIP (lipid traits), and CVDs-CeVDs-cIMT (carotid intima-media thickness) triplets.
View Article and Find Full Text PDFCrohn's disease (CD) is a complex inflammatory bowel disease resulting from an interplay of genetic, microbial, and environmental factors. Cell-type-specific contributions to CD etiology and genetic risk are incompletely understood. Here we built a comprehensive atlas of cell-type- resolved chromatin accessibility comprising 557,310 candidate cis-regulatory elements (cCREs) in terminal ileum and ascending colon from patients with active and inactive CD and healthy controls.
View Article and Find Full Text PDFBreast Cancer Res
December 2024
Department of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Denmark.
Background: Basal-like breast cancer originates in luminal progenitors, frequently with an altered PI3K pathway, and focally in close association with genetically altered myoepithelial cells at the site of tumor initiation. The exact trajectory behind this bi-lineage phenomenon remains poorly understood.
Methods And Results: Here we used a breast cancer relevant transduction protocol including hTERT, shp16, shp53, and PIK3CA to immortalize FACS isolated luminal cells, and we identified a candidate multipotent progenitor.
Comput Biol Med
December 2024
Department of Computer Science and IT, La Trobe University, Melbourne, VIC 3086, Victoria, Australia.
Squamous cell carcinoma is a prevalent cancer type that affects various organs in the human body. Manual analysis for detecting squamous cell carcinoma in histopathological images is time-consuming and may be subjective. Squamous cell carcinoma diagnosis is typically based on the differences in the architectural arrangement of squamous epithelial layers and the presence of keratinization.
View Article and Find Full Text PDFArtif Intell Med
November 2024
Department of Electronic Engineering, University of Rome Tor Vergata, via del Politecnico 1, 00133 Rome, Italy; Interdisciplinary Center for Advanced Studies on Lab-on-Chip and Organ-on-Chip Applications (ICLOC), University of Rome Tor Vergata, 00133 Rome, Italy.
The Anti-Nuclear Antibodies (ANA) test using Human Epithelial type 2 (HEp-2) cells in the Indirect Immuno-Fluorescence (IIF) assay protocol is considered the gold standard for detecting Connective Tissue Diseases. Computer-assisted systems for HEp-2 image analysis represent a growing field that harnesses the potential offered by novel machine learning techniques to address the classification of HEp-2 images and ANA patterns. In this study, we introduce an innovative platform based on transfer learning with pre-trained deep learning models.
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