July 2019
Volume 60, Issue 9
Free
ARVO Annual Meeting Abstract  |   July 2019
Retinal neurodegeneration and brain MRI markers: The UK Biobank
Author Affiliations & Notes
  • Sharon Yu Lin Chua
    Institute of Ophthalmology, Dr, London, United Kingdom
  • Anthony P Khawaja
    Moorfields eye hospital, United Kingdom
  • Charles A Reisman
    Topcon Advanced Biomedical Imaging Laboratory, New Jersey, United States
  • Qi Yang
    Topcon Advanced Biomedical Imaging Laboratory, New Jersey, United States
  • Axel Petzold
    Moorfields eye hospital, United Kingdom
  • Peng Tee Khaw
    Moorfields eye hospital, United Kingdom
  • Paul J Foster
    Institute of Ophthalmology, Dr, London, United Kingdom
  • Praveen Patel
    Moorfields eye hospital, United Kingdom
  • Footnotes
    Commercial Relationships   Sharon Chua, None; Anthony Khawaja, None; Charles Reisman, Topcon Advanced Biomedical Imaging laboratory (E); Qi Yang, Topcon Advanced Biomedical Imaging laboratory (E); Axel Petzold, None; Peng Khaw, None; Paul Foster, None; Praveen Patel, None
  • Footnotes
    Support  The NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology, The International Glaucoma Association (UK), The Eranda Rothschild Foundation (UK), The Alcon Research Institute.
Investigative Ophthalmology & Visual Science July 2019, Vol.60, 1847. doi:
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      Sharon Yu Lin Chua, Anthony P Khawaja, Charles A Reisman, Qi Yang, Axel Petzold, Peng Tee Khaw, Paul J Foster, Praveen Patel; Retinal neurodegeneration and brain MRI markers: The UK Biobank. Invest. Ophthalmol. Vis. Sci. 2019;60(9):1847.

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

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Abstract

Purpose : The retina shares developmental, physiological and anatomical structures with the brain. Hence, retinal imaging is used to examine neurodegenerative disease. Previous studies have shown that patients with Alzheimer’s disease have anatomical changes and functional visual defects in retinal structures. Advances in noninvasive optical coherence tomography (OCT) allows the retinal neurodegeneration to be quantified in vivo. Our study aimed to examine the association of specific retinal sublayer thicknesses with brain magnetic resonance imaging (MRI) markers.

Methods : UK Biobank participants aged 40 to 69 years old completed a detailed baseline questionnaire and underwent ophthalmic and brain imaging assessments. Retinal nerve fibre layer (RNFL), ganglion cell- inner plexiform layer (GC-IPL), ganglion cell complex (GCC) and total macular thicknesses were obtained from spectral domain (SD) OCT, while total brain, grey-matter, white-matter and hippocampus volumes were assessed using MRI scans. Multivariate linear regression models were constructed to evaluate associations of retinal layers with brain MRI markers, adjusting for demographic factors and vascular risk factors.

Results : Thinner GC-IPL, GCC and total macular were all significantly associated with smaller brain volume, standardized mean difference in z-score per SD decrease in retinal sublayer thickness, respectively: (-0.12; 95% CI -0.17 to -0.07), (-0.12; 95% CI -0.17 to -0.07), and (-0.12; 95% CI -0.18 to -0.07). Similarly, thinner GC-IPL, GCC and total macular were associated with smaller grey and white volume. No association was found between RNFL thickness and total brain, grey or white volumes.

Conclusions : Markers of retinal neurodegeneration, as reflected by thinning of GC-IPL, GCC and total macular thickness were associated with smaller brain, grey-matter and white-matter volumes. Our findings suggest that changes in the retinal OCT may be used as novel ocular biomarkers to identify neurodegenerative changes in the brain structure.

This abstract was presented at the 2019 ARVO Annual Meeting, held in Vancouver, Canada, April 28 - May 2, 2019.

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