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大气污染与英国生物库中视网膜形态的关联。

Ambient Air Pollution Associations with Retinal Morphology in the UK Biobank.

机构信息

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出版信息

Invest Ophthalmol Vis Sci. 2020 May 11;61(5):32. doi: 10.1167/iovs.61.5.32.

Abstract

PURPOSE

Because air pollution has been linked to glaucoma and AMD, we characterized the relationship between pollution and retinal structure.

METHODS

We examined data from 51,710 UK Biobank participants aged 40 to 69 years old. Ambient air pollution measures included particulates and nitrogen oxides. SD-OCT imaging measured seven retinal layers: retinal nerve fiber layer, ganglion cell-inner plexiform layer, inner nuclear layer, outer plexiform layer + outer nuclear layer, photoreceptor inner segments, photoreceptor outer segments, and RPE. Multivariable regression was used to evaluate associations between pollutants (per interquartile range increase) and retinal thickness, adjusting for age, sex, race, Townsend deprivation index, body mass index, smoking status, and refractive error.

RESULTS

Participants exposed to greater particulate matter with an aerodynamic diameter of <2.5 µm (PM2.5) and higher nitrogen oxides were more likely to have thicker retinal nerve fiber layer (β = 0.28 µm; 95% CI, 0.22-0.34; P = 3.3 × 10-20 and β = 0.09 µm; 95% CI, 0.04-0.14; P = 2.4 × 10-4, respectively), and thinner ganglion cell-inner plexiform layer, inner nuclear layer, and outer plexiform layer + outer nuclear layer thicknesses (P < 0.001). Participants resident in areas of higher levels of PM2.5 absorbance were more likely to have thinner retinal nerve fiber layer, inner nuclear layer, and outer plexiform layer + outer nuclear layers (β = -0.16 [95% CI, -0.22 to -0.10; P = 5.7 × 10-8]; β = -0.09 [95% CI, -0.12 to -0.06; P = 2.2 × 10-12]; and β = -0.12 [95% CI, -0.19 to -0.05; P = 8.3 × 10-4], respectively).

CONCLUSIONS

Greater exposure to PM2.5, PM2.5 absorbance, and nitrogen oxides were all associated with apparently adverse retinal structural features.

摘要

目的

由于空气污染与青光眼和 AMD 有关,我们研究了污染与视网膜结构之间的关系。

方法

我们研究了来自英国生物库的 51710 名年龄在 40 至 69 岁之间的参与者的数据。环境空气污染指标包括颗粒物和氮氧化物。SD-OCT 成像测量了 7 层视网膜:视网膜神经纤维层、节细胞内丛状层、内核层、外丛状层+外核层、光感受器内节、光感受器外节和 RPE。多变量回归用于评估污染物(每增加一个四分位距)与视网膜厚度之间的关系,调整了年龄、性别、种族、汤森德贫困指数、体重指数、吸烟状况和屈光不正。

结果

暴露于较高的颗粒物(空气动力学直径<2.5 µm,PM2.5)和氮氧化物的参与者,视网膜神经纤维层较厚(β=0.28 µm;95%CI,0.22-0.34;P=3.3×10-20 和β=0.09 µm;95%CI,0.04-0.14;P=2.4×10-4,分别),而节细胞内丛状层、内核层和外丛状层+外核层厚度较薄(P<0.001)。居住在 PM2.5 吸收率较高地区的参与者,视网膜神经纤维层、内核层和外丛状层+外核层较薄(β=-0.16 [95%CI,-0.22 至-0.10;P=5.7×10-8];β=-0.09 [95%CI,-0.12 至-0.06;P=2.2×10-12];β=-0.12 [95%CI,-0.19 至-0.05;P=8.3×10-4],分别)。

结论

PM2.5、PM2.5 吸收率和氮氧化物的暴露水平增加均与视网膜结构特征不良有关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74da/7405693/31f2f30c1720/iovs-61-5-32-f001.jpg

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