June 2022
Volume 63, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2022
Thickness of ten retinal layers from macular optical coherence tomography (OCT) volume scans in participants with and without diabetes and their relationship with glucose metabolism
Author Affiliations & Notes
  • Yangjiani Li
    Leipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Saxony, Germany
    Schepens Eye Research Institute of Mass Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, Massachusetts, United States
  • Franziska G. Rauscher
    Leipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Saxony, Germany
    Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Saxony, Leipzig, Germany
  • Mengyu Wang
    Leipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Saxony, Germany
    Schepens Eye Research Institute of Mass Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, Massachusetts, United States
  • Mohammad Eslami
    Schepens Eye Research Institute of Mass Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, Massachusetts, United States
  • Jennifer K Sun
    Beetham Eye Institute, Joslin Diabetes Center, Boston, Massachusetts, United States
    Department of Ophthalmology, Harvard Medical School, Boston, Massachusetts, United States
  • Konstantina Sampani
    Beetham Eye Institute, Joslin Diabetes Center, Boston, Massachusetts, United States
    Department of Medicine, Harvard Medical School, Boston, Massachusetts, United States
  • Kerstin Wirkner
    Leipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Saxony, Germany
    Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Saxony, Leipzig, Germany
  • Markus Loeffler
    Leipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Saxony, Germany
    Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Saxony, Leipzig, Germany
  • Michael Stumvoll
    Medical Department III – Endocrinology, Nephrology, Rheumatology, Leipzig University Medical Center, Leipzig, Saxony, Germany
  • Joachim Thiery
    Leipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Saxony, Germany
    Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, Leipzig University Medical Center, Leipzig, Saxony, Germany
  • Anke Tönjes
    Medical Department III – Endocrinology, Nephrology, Rheumatology, Leipzig University Medical Center, Leipzig, Saxony, Germany
  • Christoph Engel
    Leipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Saxony, Germany
    Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Saxony, Leipzig, Germany
  • Toralf Kirsten
    Leipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Saxony, Germany
    Medical Informatics Center - Department of Medical Data Science, Leipzig University Medical Center, Leipzig, Saxony, Germany
  • Thomas Ebert
    Medical Department III – Endocrinology, Nephrology, Rheumatology, Leipzig University Medical Center, Leipzig, Saxony, Germany
    Department of Clinical Science, Intervention and Technology, Division of Renal Medicine, Karolinska Institutet, Stockholm, Stockholm, Sweden
  • Tobias Elze
    Leipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Saxony, Germany
    Schepens Eye Research Institute of Mass Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, Massachusetts, United States
  • Footnotes
    Commercial Relationships   Yangjiani Li None; Franziska Rauscher None; Mengyu Wang None; Mohammad Eslami None; Jennifer Sun Optovue, Code F (Financial Support); Konstantina Sampani None; Kerstin Wirkner None; Markus Loeffler None; Michael Stumvoll None; Joachim Thiery None; Anke Tönjes None; Christoph Engel None; Toralf Kirsten None; Thomas Ebert None; Tobias Elze None
  • Footnotes
    Support  R01 EY030575; R21 EY030142; R21 EY030631; P30 EY003790; K99EY028631; LIFE Leipzig Research Center for Civilization Diseases, Leipzig University (LIFE is funded by the EU, the European Social Fund, the European Regional Development Fund, and Free State Saxony’s excellence initiative (713-241202, 14505/2470, 14575/2470)); Federal Ministry of Education and Research (BMBF), Germany: i:DSem - Integrative data semantics in systems medicine (031L0026); Novo Nordisk postdoctoral fellowship run in partnership with Karolinska Institutet, Stockholm, Sweden; EFSD Mentorship Programme supported by AstraZeneca;
Investigative Ophthalmology & Visual Science June 2022, Vol.63, 815. doi:
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      Yangjiani Li, Franziska G. Rauscher, Mengyu Wang, Mohammad Eslami, Jennifer K Sun, Konstantina Sampani, Kerstin Wirkner, Markus Loeffler, Michael Stumvoll, Joachim Thiery, Anke Tönjes, Christoph Engel, Toralf Kirsten, Thomas Ebert, Tobias Elze; Thickness of ten retinal layers from macular optical coherence tomography (OCT) volume scans in participants with and without diabetes and their relationship with glucose metabolism. Invest. Ophthalmol. Vis. Sci. 2022;63(7):815.

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

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Abstract

Purpose : We investigate the relationship between macular retinal thickness and glucose tolerance in a large population-based study.

Methods : All participants with available measurements (C-peptide, fasting plasma glucose, HbA1c, and OCT scans) from the LIFE-Adult study, a population-based, sex- and age-stratified study, were included. Macular volume scans (97 B-scans by 512 A-scans) from Spectralis OCT were automatically segmented into ten layers after excluding low-quality (< 20 dB) B-scans. The Early Treatment Diabetic Retinopathy Study (ETDRS) grid was used to calculate average sectorial thickness, adjusted by scan length and location of the fovea center. Figure 1 shows the abbreviations of layers and sectors. ANOVA, t-test (significance level: p<0.05), and linear regression (Akaike Information Criterion [AIC] difference >6 defining a strong effect) were used to identify and compare impacts on retinal thickness.

Results : Figure 1A shows the average of ETDRS sectorial thickness in ten layers of the selected 13138 eyes (7234 participants), grouped as diabetic, prediabetic, and normal glucose tolerant. As we did not find significant lateral differences, only right-eye results are presented (6597 eyes/participants). Figure 1B-C reveals extensive retinal thinning in the diabetic group compared with the subjects with normal glucose tolerance, especially in inner layers, with stronger effects for males compared to females. Increasing age was significantly associated with retinal thinning in nearly all layers except RNFL, OPL, and IZ, where age had no or opposite effects (Figure 2A). Apart from age, diabetes-related parameters (e.g., C-peptide) exhibited additional effects on retinal thinning (Figure 2B-C). In males, strong effects of C-peptide were observed in the inner sectors of RNFL, GCL, IPL, outer sectors of ONL, and MZ, while in females, effects were more pronounced in the outer sectors of ONL, MZ, and some sectors in EZ+OS.

Conclusions : In this large population-based sample, participants with diabetes showed extensive retinal thinning compared to normal glucose tolerant subjects. Age had strong effects on retinal thinning. In addition, diabetes-related parameters were linked to thickness of specific layers, with different patterns in males and females.

This abstract was presented at the 2022 ARVO Annual Meeting, held in Denver, CO, May 1-4, 2022, and virtually.

 

 

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