| Literature DB >> 36031679 |
Tianyi Yuan1, Haidong Zou2,3,4,5.
Abstract
Myopia is one of the most common forms of refractive eye disease and considered as a worldwide pandemic experienced by half of the global population by 2050. During the past several decades, myopia has become a leading cause of visual impairment, whereas several factors are believed to be associated with its occurrence and development. In terms of environmental factors, air pollution has gained more attention in recent years, as exposure to ambient air pollution seems to increase peripheral hyperopia defocus, affect the dopamine pathways, and cause retinal ischemia. In this review, we highlight epidemiological evidence and potential biological mechanisms that may link exposure to air pollutants to myopia. A thorough understanding of these mechanisms is a key for establishing and implementing targeting strategies. Regulatory efforts to control air pollution through effective policies and limit individual exposure to preventable risks are required in reducing this global public health burden.Entities:
Keywords: Air pollution; Dopamine; Myopia; Peripheral hyperopia defocus; Retinal ischemia
Mesh:
Substances:
Year: 2022 PMID: 36031679 PMCID: PMC9515022 DOI: 10.1007/s11356-022-22764-9
Source DB: PubMed Journal: Environ Sci Pollut Res Int ISSN: 0944-1344 Impact factor: 5.190
Fig. 1The underlying pathways of myopia pathogenesis. The clear “123” indicates the vision of emmetropia, while the blurred one represents myopia. When the peripheral hyperopia defocus occurs, the incoming light rays are focused behind the retina surface and axial growth is lengthened owing to the tissue remodeling of the sclera. The axial elongation can also be promoted by the hypoxia marker upregulated by retinal ischemia, while inhibited by the release of retinal dopamine. DA dopamine
Summary of clinical studies on the effects of ambient air pollutant exposure on myopia
| Study | Type of study | Study period and location | Sample size | Age (years) | Environmental exposure measured | Outcome measured | Findings |
|---|---|---|---|---|---|---|---|
| Wei et al. ( | Retrospective cohort study | 2000–2012, Taiwan, China | 97,306 children | 6–12 | Daily average concentrations of PM2.5 and NOx calculated from the air quality-monitoring data | Myopia mentioned at least two times by an ophthalmologist | The incidence rate of myopia increased with exposure to PM2.5 and NOx from 15.8 to 24.5 and from 13.7 to 34.4 per 1000 person-years |
| Ruan et al. ( | Cross-sectional survey | 2007–2010, South Africa, Ghana, Mexico, China, India, and the Russian Federation | 33,626 adults | ≥ 50 | Annual concentrations of fine PM2.5 and O3 estimated with the satellite data and chemical transport model | At least one of the following three standards: (1) have been diagnosed as myopia by a medical professional; (2) have a good near vision but distant objects appear blurred; (3) must wear contact lenses or eyeglasses to see distant object | The adjusted prevalence ratio identified as 1.12 and 1.26 for each standard deviation increase in PM2.5 and O3 concentrations above their threshold |
| Dadvand et al. ( | Cross-sectional analyses | 2012–2015, Barcelona, Spain | 2727 schoolchildren | 7–10 | NO2 and PM2.5 light absorbance at home predicted by land-use regression models NO2 and black carbon at school light absorbance measured by monitoring campaigns | The use of spectacles | An IQR increase in NO2 level at home and school associated with 16% and 32% increase in spectacle use |
| Longitudinal analyses | 1812 schoolchildren | The residential exposure to PM2.5 absorbance and school exposure to BC absorbance getting stronger compared to those of cross-sectional analyses | |||||
| Yang et al. ( | Cross-sectional study | 2013, 7 provinces or municipalities in China | 61,995 children | 6–18 | PM2.5, PM10, and NO2 estimated at a 0.1° × 0.1° resolution using machine learning methods | Visual impairment defined the unaided distance visual acuity lower than or equal to 4.9 (logarithm of the minimum angle of resolution 0.10 or Snellen 5/6 equivalent) in the worse eye | The IQR increase in PM2.5, PM10, and NO2 associated with a 1.267-, 1.142-, and 1.276-fold increased odds of visual impairment |
PM particulate matter 2.5, PM particulate matter 10, NO nitrogen oxides, O ozone, NO nitrogen dioxide, BC black carbon, IQR interquartile range.
Summary of clinical studies on the effects of ambient air pollutant exposure on retinal vessels
| Study | Study period and location | Sample size | Age (years) | Environmental exposure measured | Outcome measured | Findings |
|---|---|---|---|---|---|---|
| Adar et al. ( | 2002–2003, America | 4607 adults | 45–84 | Long-term outdoor concentrations of PM2.5 estimated at each participant’s home using a spatio-temporal model | CRAE and CRVE | With − 0.8- and − 0.4-µm decreases in CRAE per interquartile increases in long- (3 µg/m3) and short-term (9 µg/m3) PM2.5 levels, respectively |
| Louwies et al. ( | January–May 2012, Belgium | 84 adults | 22–63 | PM10 and BC levels measured at a nearby official monitoring station | CRAE and CRVE | Each 10-µg/m3 increase in PM10 associated with a 0.93-µm decrease in CRAE and a 0.86-µm decrease in CRVE Each 1-µg/m3 increase in BC associated with a 1.84-µm decrease in CRAE |
| Louwies et al. ( | 1 week between April and May 2013, the north of Belgium | 55 healthy nurses | 22–59 | Personal subchronic BC exposure measured continuously with a portable MicroAeth Model AE51 | CRAE and CRVE | Increased exposure of 631-ng/m3 BC associated with 5.65-μm increase in CRAE |
| Louwies et al. ( | December 2014–April 2015, Flanders, Belgium | 50 healthy adults | 23–58 | PM10 data measured at a nearby monitoring station | CRAE and CRVE | Each short-term increase of 10 µg/m3 PM10 during the 24 h preceding the study visit associated with a 0.58-µm decrease in CRAE, a 0.99-µm increase in CRVE |
| Provost et al. ( | 2012–2014, Flanders, Belgium | 221 children | 8–12 | Recent (same and previous day) and chronic (yearly mean) exposure modeled at the child’s residence using a high-resolution interpolation model | Retinal vessel diameters | Each 10-µg/m3 increment in same-day exposure to PM2.5 at school associated with 0.35-µm narrower retinal arterioles and 0.35-µm wider venules |
| Korsiak et al. ( | 2018–2020, Vancouver Island, Canada | 64 children | 4–12 | Daily mean outdoor PM2.5 concentrations measured by the provincial air monitoring station and Partisol 2025i sequential air sampler; O3 and NO2 measured at the provincial air monitoring site | CRAE and CRVE | Ox inversely associated with retinal arteriolar diameter The strongest association observed for 7-day mean exposures, where each 10-ppb increase in Ox associated with a 2.63-μm decrease in arteriolar diameter Weak inverse associations observed between PM2.5 and arteriolar diameter only at higher concentrations of Ox |
PM particulate matter 2.5, PM particulate matter 10, BC black carbon, O ozone, NO nitrogen dioxide, O the combined oxidant capacity of O3 and NO2 using a redox-weighted average, CRAE central retinal artery equivalent, CRVE central retinal vein equivalent.
Fig. 2Potential mechanisms linking air pollution to myopia. Ambient air pollution may aggravate allergic conjunctivitis symptoms and cause corneal injury, which lead to peripheral hyperopia defocus and stimulate eyeball growth. The synthesis and emission of air pollutants lead to the reduction in ultraviolet exposure and retinal dopamine release. The pulmonary inflammatory factors and reactive oxygen species induced by air pollution can enter the blood circulation, resulting in systemic inflammation and oxidative stress, thus causing retinal ischemia and myopia. Furthermore, several air pollutants may directly induce hypoperfusion of the retina through ocular surface. PM particulate matter 2.5, CO carbon monoxide, NO nitrogen oxides, NO nitric oxide, O ozone, IL-6 interleukin-6, TNF-α tumor necrosis factor-α, ROS reactive oxygen species, UV ultraviolet, DA dopamine