Investigative Ophthalmology & Visual Science Cover Image for Volume 65, Issue 7
June 2024
Volume 65, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2024
Texture of retinal OCT images as potential biomarker for early diagnosis of diabetic retinopathy: evidence from an animal model of type 1 diabetes
Author Affiliations & Notes
  • Sara Oliveira
    Univ Coimbra, Coimbra Institute for Clinical and Biomedical Research (iCBR) of Faculty of Medicine and Center for Innovative Biomedicine and Biotechnology (CIBB), Coimbra, Portugal
    Clinical Academic Center of Coimbra (CACC), Coimbra, Portugal
  • Pedro Guimarães
    Univ Coimbra, Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), Institute for Nuclear Sciences Applied to Health (ICNAS), Coimbra, Portugal
  • Elisa Julião Campos
    Univ Coimbra, Coimbra Institute for Clinical and Biomedical Research (iCBR) of Faculty of Medicine and Center for Innovative Biomedicine and Biotechnology (CIBB), Coimbra, Portugal
    Univ Coimbra, Chemical Engineering and Renewable Resources for Sustainability (CERES), Department of Chemical Engineering (DEQ), Faculty of Sciences and Technology (FCTUC), Coimbra, Portugal
  • Rosa Fernandes
    Univ Coimbra, Coimbra Institute for Clinical and Biomedical Research (iCBR) of Faculty of Medicine and Center for Innovative Biomedicine and Biotechnology (CIBB), Coimbra, Portugal
    Univ Coimbra, Institute of Pharmacology and Experimental Therapeutics, Faculty of Medicine, Coimbra, Portugal
  • Pedro Serranho
    Univ Coimbra, Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), Institute for Nuclear Sciences Applied to Health (ICNAS), Coimbra, Portugal
    Universidade Aberta, Department of Sciences and Technology, Lisbon, Portugal
  • Paulo Matafome
    Univ Coimbra, Coimbra Institute for Clinical and Biomedical Research (iCBR) of Faculty of Medicine, Institute of Physiology of Faculty of Medicine and Center for Innovative Biomedicine and Biotechnology (CIBB), Coimbra, Portugal
    Polytechnic University of Coimbra, Coimbra Health School (ESTeSC), Coimbra, Portugal
  • Rui Bernardes
    Univ Coimbra, Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), Institute for Nuclear Sciences Applied to Health (ICNAS), Coimbra, Portugal
    Univ Coimbra, Faculty of Medicine (FMUC), Coimbra, Portugal
  • António Francisco Ambrosio
    Univ Coimbra, Coimbra Institute for Clinical and Biomedical Research (iCBR) of Faculty of Medicine and Center for Innovative Biomedicine and Biotechnology (CIBB), Coimbra, Portugal
    Clinical Academic Center of Coimbra (CACC), Coimbra, Portugal
  • Footnotes
    Commercial Relationships   Sara Oliveira None; Pedro Guimarães None; Elisa Campos None; Rosa Fernandes None; Pedro Serranho None; Paulo Matafome None; Rui Bernardes None; António Ambrosio None
  • Footnotes
    Support  Foundation for Science and Technology, Portugal: 2020.07432.BD, PEst UIDB/04539/2020 and UIDP/04539/2020, and PEst UIDB/04950/2020 and UIDP/04950/2020.
Investigative Ophthalmology & Visual Science June 2024, Vol.65, 1370. doi:
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      Sara Oliveira, Pedro Guimarães, Elisa Julião Campos, Rosa Fernandes, Pedro Serranho, Paulo Matafome, Rui Bernardes, António Francisco Ambrosio; Texture of retinal OCT images as potential biomarker for early diagnosis of diabetic retinopathy: evidence from an animal model of type 1 diabetes. Invest. Ophthalmol. Vis. Sci. 2024;65(7):1370.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : The diagnosis of diabetic retinopathy (DR) usually occurs many years after diabetes onset. Indeed, an early diagnosis of DR remains a notable challenge, and so the identification of novel biomarkers is of utmost importance. We aim to identify novel early biomarkers for DR based on texture analysis of optical coherence tomography (OCT) retinal images. Previously, we reported significant changes in the retinal texture of an Alzheimer’s disease animal model, comparing to wild-type mice.

Methods : As a proof of concept, we used an animal model (Wistar rats) of type 1 diabetes (T1D), triggered by streptozotocin (65 mg/kg; i.p.). Volume OCT scans (N=40-44) and electroretinograms (N=25) were acquired before and 1, 2, and 4 weeks after diabetes induction. Automated OCT image segmentation was performed, and retinal thickness was computed. Texture analysis was applied to OCT retinal images. Blood-retinal barrier breakdown (tight junction proteins evaluation and Evans blue assay), glial reactivity, neuroinflammation and nitrosative stress were also assessed.

Results : T1D induced significant early changes in several texture features. At week 4, all retinal layers presented a decrease in autocorrelation, information measure of correlation 2 (IMC2), inverse difference moment normalized (IDMN), inverse difference normalized (IDN), and sum average texture metrics. Similar effects were observed for IMC2, IDMN, and IDN, at week 2. Moreover, subtle thinning of the diabetic retinas was detected (weeks 1, 2, and 4), specifically in the inner plexiform and nuclear layers, inner/outer photoreceptor segments, and total retina. Retinal function was altered, with increased latencies in a-wave and oscillatory potentials 1-4 (weeks 1, 2, and 4). Also, an increased number of microglial cells (weeks 1, 2 and 4) and nitrotyrosine immunoreactivity were detected in diabetic retinas (week 4). Claudin-5 (weeks 2 and 4) and occludin (week 4) immunoreactivity decreased in diabetic animals, along with a reduction in claudin-5 protein levels (week 4), although vascular permeability remained unchanged.

Conclusions : Our results show that diabetes induces early significant changes in retinal texture, along with retinal molecular and cellular changes, suggesting that OCT retinal texture can potentially be used for the early diagnosis of DR, but this needs to be confirmed in human studies.

This abstract was presented at the 2024 ARVO Annual Meeting, held in Seattle, WA, May 5-9, 2024.

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