July 2020
Volume 61, Issue 9
Free
ARVO Imaging in the Eye Conference Abstract  |   July 2020
Association between serum lipid parameters and retinal layer thicknesses in the macula
Author Affiliations & Notes
  • Dian Li
    Leipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Saxony, Germany
    Department of Data Sciences, Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health, 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, Leipzig, Saxony, Germany
  • Thomas Ebert
    Medical Department III – Endocrinology, Nephrology, Rheumatology, Leipzig University Medical Center, Leipzig, Saxony, Germany
    Div. of Renal Medicine, Department of Clinical Sciences, Intervention and Technology (CLINTEC), Karolinska Institutet, Huddinge, Stockholm County, Sweden
  • Mengyu Wang
    Leipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Saxony, Germany
    Schepens Eye Research Institute, Harvard Medical School, Boston, Massachusetts, United States
  • Yangjiani Li
    Leipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Saxony, Germany
    Schepens Eye Research Institute, Harvard Medical School, Boston, Massachusetts, United States
  • Eun Young Choi
    Leipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Saxony, Germany
    Schepens Eye Research Institute, Harvard Medical School, Boston, Massachusetts, United States
  • Raymond C S Wong
    Leipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Saxony, Germany
    Schepens Eye Research Institute, Harvard Medical School, Boston, Massachusetts, United States
  • Kerstin Wirkner
    Leipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, 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, Leipzig, Saxony, Germany
  • Markus Loeffler
    Leipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Saxony, Germany
    Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, 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, Leipzig, Saxony, Germany
  • Tobias Elze
    Leipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Saxony, Germany
    Schepens Eye Research Institute, Harvard Medical School, Boston, Massachusetts, United States
  • Footnotes
    Commercial Relationships   Dian Li, None; Franziska Rauscher, None; Thomas Ebert, None; Mengyu Wang, None; Yangjiani Li, None; Eun Young Choi, None; Raymond C S Wong, None; Kerstin Wirkner, None; Christoph Engel, None; Markus Loeffler, None; Joachim Thiery, 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: FKZ: 01EO1501 (IFB AdiposityDiseases, Postdoctoral program); Federal Ministry of Education and Research (BMBF), Germany: i:DSem - Integrative data semantics in systems medicine (031L0026);
Investigative Ophthalmology & Visual Science July 2020, Vol.61, PB0027. doi:
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    • Get Citation

      Dian Li, Franziska G. Rauscher, Thomas Ebert, Mengyu Wang, Yangjiani Li, Eun Young Choi, Raymond C S Wong, Kerstin Wirkner, Christoph Engel, Markus Loeffler, Joachim Thiery, Tobias Elze; Association between serum lipid parameters and retinal layer thicknesses in the macula. Invest. Ophthalmol. Vis. Sci. 2020;61(9):PB0027.

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

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Abstract

Purpose : The blood high-density lipoprotein (HDL) and low-density lipoprotein (LDL) cholesterol levels act as biomarkers for the risk of heart disease. We analyzed the relationship between HDL/LDL level and macular layer thickness generated from spectral-domain optical coherence tomography (SD-OCT) in a large population-based study.

Methods : From the population-based, sex and age-stratified (age range: 20 to 80 years) LIFE Adult study, we selected all eyes of the participants with HDL/LDL data and SD-OCT (Spectralis, Heidelberg Engineering) volume scans available. The inclusion criteria were: 1) OCT B-scan signal to noise ratio ≥20 dB; 2) 97 horizontal B-scans per eye with 512 A-scans each; 3) no reported cholesterol medication taken. Macular segmentation was exported from the OCT machine into ten layers (Fig 1A): retinal pigment epithelium (RPE), outer segment (OS), inner-outer segment junction (IS-OS), inner segment (IS), outer nuclear layer (ONL), out plexiform layer (OPL), inner nuclear layer (INL), inner plexiform layer (IPL), ganglion cell layer (GCL), and retinal nerve fiber layer (RNFL). Within each layer, we performed partial Pearson correlations between HDL/LDL level and thickness at each of the 49,644 A-scan locations with age effect removed.

Results : A total of 15,377 eyes of 7,760 participants were selected. Fig. 1B/C shows the HDL/LDL histograms. Partial correlations with age effect removed are detailed in Fig. 2. Significant (P<0.05) correlations could be found for almost all layers for both HDL and LDL. HDL level is negatively correlated with the thickness of the parafoveal area of RNFL, GCL, IPL, INL, and ONL. Most notably, HDL exhibited positive correlations on 94% of the area of the IS layer and negative correlations on 77.8% of the IS-OS layer. LDL correlations were typically in the opposite direction and occurred most notably on 87.2%/76.2%/62.2% of the areas of the GCL/IPL/IS, respectively. The most distinct flips of the correlation sign between HDL and LDL occurred for IS-OS and IS layers.

Conclusions : Serum lipid parameters are significantly correlated with thicknesses of most macular layers. The correlations exhibit layer-specific spatial patterns that are roughly antagonistic between HDL and LDL. These findings suggest that the systemic health effects assessed by the serum lipid profile might additionally specifically be reflected in the layer structure of the retina.

This is a 2020 Imaging in the Eye Conference abstract.

 

 

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