Association of ambient air pollution with age-related macular degeneration and retinal thickness in UK Biobank
Association of ambient air pollution with age-related macular degeneration and retinal thickness in UK Biobank
AIM: To examine the associations of air pollution with both self-reported age-related macular degeneration (AMD), and in vivo measures of retinal sublayer thicknesses.
METHODS: We included 115 954 UK Biobank participants aged 40-69 years old in this cross-sectional study. Ambient air pollution measures included particulate matter, nitrogen dioxide (NO2) and nitrogen oxides (NOx). Participants with self-reported ocular conditions, high refractive error (< -6 or > +6 diopters) and poor spectral-domain optical coherence tomography (SD-OCT) image were excluded. Self-reported AMD was used to identify overt disease. SD-OCT imaging derived photoreceptor sublayer thickness and retinal pigment epithelium (RPE) layer thickness were used as structural biomarkers of AMD for 52 602 participants. We examined the associations of ambient air pollution with self-reported AMD and both photoreceptor sublayers and RPE layer thicknesses.
RESULTS: After adjusting for covariates, people who were exposed to higher fine ambient particulate matter with an aerodynamic diameter <2.5 µm (PM2.5, per IQR increase) had higher odds of self-reported AMD (OR=1.08, p=0.036), thinner photoreceptor synaptic region (β=-0.16 µm, p=2.0 × 10-5), thicker photoreceptor inner segment layer (β=0.04 µm, p=0.001) and thinner RPE (β=-0.13 µm, p=0.002). Higher levels of PM2.5 absorbance and NO2 were associated with thicker photoreceptor inner and outer segment layers, and a thinner RPE layer. Higher levels of PM10 (PM with an aerodynamic diameter <10 µm) was associated with thicker photoreceptor outer segment and thinner RPE, while higher exposure to NOx was associated with thinner photoreceptor synaptic region.
CONCLUSION: Greater exposure to PM2.5 was associated with self-reported AMD, while PM2.5, PM2.5 absorbance, PM10, NO2 and NOx were all associated with differences in retinal layer thickness.
Chua, Sharon Y L
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Warwick, Alasdair
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Peto, Tunde
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Balaskas, Konstantinos
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Moore, Anthony T
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Reisman, Charles
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Desai, Parul
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Lotery, Andrew J
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Dhillon, Baljean
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Khaw, Peng T
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Owen, Christopher G
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Khawaja, Anthony P
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Foster, Paul J
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Patel, Praveen J
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UK Biobank Eye and Vision Consortium
Chua, Sharon Y L
806116ec-8f79-41cb-b52b-0ad40dcaf587
Warwick, Alasdair
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Peto, Tunde
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Balaskas, Konstantinos
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Moore, Anthony T
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Reisman, Charles
ce82630a-aacc-4dd1-a40e-b443a7c60144
Desai, Parul
2cec4ddd-d533-4188-933b-2b0b24ea0807
Lotery, Andrew J
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Dhillon, Baljean
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Khaw, Peng T
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Owen, Christopher G
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Khawaja, Anthony P
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Foster, Paul J
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Patel, Praveen J
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Chua, Sharon Y L, Warwick, Alasdair, Peto, Tunde, Balaskas, Konstantinos, Moore, Anthony T and Reisman, Charles
,
UK Biobank Eye and Vision Consortium
(2021)
Association of ambient air pollution with age-related macular degeneration and retinal thickness in UK Biobank.
British Journal of Ophthalmology, 106 (5).
(doi:10.1136/bjophthalmol-2020-316218).
Abstract
AIM: To examine the associations of air pollution with both self-reported age-related macular degeneration (AMD), and in vivo measures of retinal sublayer thicknesses.
METHODS: We included 115 954 UK Biobank participants aged 40-69 years old in this cross-sectional study. Ambient air pollution measures included particulate matter, nitrogen dioxide (NO2) and nitrogen oxides (NOx). Participants with self-reported ocular conditions, high refractive error (< -6 or > +6 diopters) and poor spectral-domain optical coherence tomography (SD-OCT) image were excluded. Self-reported AMD was used to identify overt disease. SD-OCT imaging derived photoreceptor sublayer thickness and retinal pigment epithelium (RPE) layer thickness were used as structural biomarkers of AMD for 52 602 participants. We examined the associations of ambient air pollution with self-reported AMD and both photoreceptor sublayers and RPE layer thicknesses.
RESULTS: After adjusting for covariates, people who were exposed to higher fine ambient particulate matter with an aerodynamic diameter <2.5 µm (PM2.5, per IQR increase) had higher odds of self-reported AMD (OR=1.08, p=0.036), thinner photoreceptor synaptic region (β=-0.16 µm, p=2.0 × 10-5), thicker photoreceptor inner segment layer (β=0.04 µm, p=0.001) and thinner RPE (β=-0.13 µm, p=0.002). Higher levels of PM2.5 absorbance and NO2 were associated with thicker photoreceptor inner and outer segment layers, and a thinner RPE layer. Higher levels of PM10 (PM with an aerodynamic diameter <10 µm) was associated with thicker photoreceptor outer segment and thinner RPE, while higher exposure to NOx was associated with thinner photoreceptor synaptic region.
CONCLUSION: Greater exposure to PM2.5 was associated with self-reported AMD, while PM2.5, PM2.5 absorbance, PM10, NO2 and NOx were all associated with differences in retinal layer thickness.
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Accepted/In Press date: 7 December 2020
e-pub ahead of print date: 25 January 2021
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Local EPrints ID: 476165
URI: http://eprints.soton.ac.uk/id/eprint/476165
ISSN: 0007-1161
PURE UUID: 911818fb-48fd-497c-8ad0-e2192b080ecc
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Date deposited: 12 Apr 2023 16:57
Last modified: 17 Mar 2024 02:57
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Contributors
Author:
Sharon Y L Chua
Author:
Alasdair Warwick
Author:
Tunde Peto
Author:
Konstantinos Balaskas
Author:
Anthony T Moore
Author:
Charles Reisman
Author:
Parul Desai
Author:
Baljean Dhillon
Author:
Peng T Khaw
Author:
Christopher G Owen
Author:
Anthony P Khawaja
Author:
Paul J Foster
Author:
Praveen J Patel
Corporate Author: UK Biobank Eye and Vision Consortium
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