Association of ambient air pollution with age-related macular degeneration and retinal thickness in UK Biobank

被引:51
作者
Chua, Sharon Y. L. [1 ,2 ]
Warwick, Alasdair [3 ]
Peto, Tunde [4 ]
Balaskas, Konstantinos [1 ,2 ,5 ]
Moore, Anthony T. [6 ]
Reisman, Charles [7 ]
Desai, Parul [8 ]
Lotery, Andrew J. [9 ]
Dhillon, Baljean [10 ,11 ]
Khaw, Peng T. [1 ,2 ,8 ]
Owen, Christopher G. [12 ]
Khawaja, Anthony P. [1 ,2 ,8 ]
Foster, Paul J. [1 ,2 ,8 ]
Patel, Praveen J. [1 ,2 ,8 ]
机构
[1] Moorfields Eye Hosp NHS Fdn Trust, Biomed Res Ctr, Natl Inst Hlth Res, UCL Inst Ophthalmol, London, England
[2] UCL Inst Ophthalmol, 11-43 Bath St, London EC1V 9EL, England
[3] UCL, UCL Inst Cardiovasc Sci, London, England
[4] Queens Univ Belfast, Sch Med Dent & Biomed Sci, Belfast, Antrim, North Ireland
[5] Univ Manchester, Sch Biol Sci, Manchester, Lancs, England
[6] Univ Calif San Francisco, Dept Ophthalmol, San Francisco, CA USA
[7] Topcon Healthcare Solut Res & Dev, Oakland, NJ USA
[8] Moorfields Eye Hosp, London, England
[9] Univ Southampton, Fac Med, Clin & Expt Sci, Southampton, Hants, England
[10] Univ Edinburgh, Sch Clin Sci, Ctr Clin Brain Sci, Edinburgh, Midlothian, Scotland
[11] NHS Lothian Princess Alexandra Eye Pavil, Edinburgh, Midlothian, Scotland
[12] St Georges Univ London, Populat Hlth Res Inst, London, England
基金
英国医学研究理事会;
关键词
epidemiology; public health; retina; macula; imaging; OXIDATIVE-STRESS; CARDIOVASCULAR-DISEASE; PREVALENCE; PARTICLES; BURDEN; HEALTH; CELLS; PM2.5;
D O I
10.1136/bjophthalmol-2020-316218
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
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 mu m (PM2.5, per IQR increase) had higher odds of self-reported AMD (OR=1.08, p=0.036), thinner photoreceptor synaptic region (beta=-0.16 mu m, p=2.0 x 10(-5)), thicker photoreceptor inner segment layer (beta=0.04 mu m, p=0.001) and thinner RPE (beta=-0.13 mu m, 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 mu m) 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.
引用
收藏
页码:705 / 711
页数:7
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