A critical review on air pollutant exposure and age-related macular degeneration

Liu, Lei; Liu, Cong; Yu, Honghua; Yang, Xiaohong

doi:10.1016/j.scitotenv.2022.156717

Cited by 7 publications

(4 citation statements)

References 112 publications

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“…Individuals who have quit smoking may yet face a slightly higher risk of disease progression as compared to those who have never smoked (Buch, Vinding, et al, 2005; Merle et al, 2017). Like smoking damage, air pollution may accelerate or worsen AMD, changing homeostasis and interfering with inflammation, with a consequent increase in lipid metabolism and oxidative stress in the macula (Liu et al, 2022).…”

Section: Risk Factorsmentioning

confidence: 99%

Epidemiology of geographic atrophy and its precursor features of intermediate age‐related macular degeneration

Vujosevic,

Alovisi,

Chakravarthy

2023

Acta Ophthalmologica

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Globally age‐related macular degeneration (AMD) is a leading cause of blindness with a significant impact on quality of life. Geographic atrophy (GA) is the atrophic late form of AMD and its prevalence increases markedly with age with around 1 in 5 persons aged 85 and above having GA in at least one eye. Bilateral GA leads to severe visual impairment thus posing a significant burden on patients, careers and health providers. The incidence and prevalence of GA varies across different geographic regions, with the highest rates in those of European ancestry. Although heterogeneity in definitions of GA and reporting strategy can explain some of the discrepancies, the data overall are consistent in showing a lower prevalence in other ethnicities such as those of Asian heritage. This is at present unexplained but thought to be due to the existence of protective factors such as differences in eye pigmentation, diet, environmental exposures and genetic variability. This review covers key aspects of the prevalence and incidence of the ocular precursor features of GA (large drusen, pigmentary abnormalities and reticular pseudo‐drusen), the late stage of GA and factors that have been known to be associated with modifying risk including systemic, demographic, environment, genetic and ocular. Understanding the global epidemiology scenario is crucial for the prevention of and management of patients with GA.

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Section: Risk Factorsmentioning

confidence: 99%

Epidemiology of geographic atrophy and its precursor features of intermediate age‐related macular degeneration

Vujosevic,

Alovisi,

Chakravarthy

2023

Acta Ophthalmologica

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“…Age-related macular degeneration (AMD) occurs in people aged 50 years and older and is one of the main reasons of central vision loss and permanent blindness worldwide [ 1 ]. AMD affects the central region of the retina known as the macula and is classified as dry or wet AMD.…”

Section: Introductionmentioning

confidence: 99%

Automated classification of choroidal neovascularization, diabetic macular edema, and drusen from retinal OCT images using vision transformers: a comparative study

Akça,

Garip,

Ekinci

et al. 2024

Lasers Med Sci

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Classifying retinal diseases is a complex problem because the early problematic areas of retinal disorders are quite small and conservative. In recent years, Transformer architectures have been successfully applied to solve various retinal related health problems. Age-related macular degeneration (AMD) and diabetic macular edema (DME), two prevalent retinal diseases, can cause partial or total blindness. Diseases therefore require an early and accurate detection. In this study, we proposed Vision Transformer (ViT), Tokens-To-Token Vision Transformer (T2T-ViT) and Mobile Vision Transformer (Mobile-ViT) algorithms to detect choroidal neovascularization (CNV), drusen, and diabetic macular edema (DME), and normal using optical coherence tomography (OCT) images. The predictive accuracies of ViT, T2T-ViT and Mobile-ViT achieved on the dataset for the classification of OCT images are 95.14%, 96.07% and 99.17% respectively. Experimental results obtained from ViT approaches showed that Mobile-ViT have superior performance with regard to classification accuracy in comparison with the others. Overall, it has been observed that ViT architectures have the capacity to classify with high accuracy in the diagnosis of retinal diseases.

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“…Exposure to NO 2 for a long time may even cause serious diseases such as macular degeneration, diabetes, asthma, and heart disease . According to OSHA (Occupational Safety and Health Administration) of the United States Department of Labor, the level of NO 2 should be less than 5 ppm for 8 h exposure. , In 2010, the United States Environmental Protection Agency (EPA) also set the ambient air quality standards for nitrogen dioxide (NO 2 ) to be a 1-h standard at a level of 100 ppb and a long-term exposure standard at 53 ppb. , To effectively detect low concentrations of NO 2 gas, related studies have sprung up in recent years. There are many metal-oxide sensors to detect NO 2 . − However, to monitor NO 2 in our daily life, low-cost and reliable NO 2 gas sensors are still needed.…”

Section: Introductionmentioning

confidence: 99%

Sputtered Ultrathin WO₃ for Realizing Room-Temperature High-Sensitive NO₂ Gas Sensors

Chiu,

Deb,

Liu

et al. 2023

ACS Appl. Electron. Mater.

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In this work, we used a commercial manufacturing process to obtain a WO3 semiconductor gas sensor to realize NO2 detection in parts-per-billion concentration at room temperature (25–27 °C). The radio-frequency (RF) sputtering process was used to deposit an ultrathin (down to 5 nm) WO3 sensing layer. With suitable control of the deposition ambient and the postannealing condition, the WO3 ultrathin-film resistor with a 50-μm line width can detect 100 ppb of NO2 without any heating setup. Notably, no nanometer process is required; hence, the production can be realized by current flat-panel display technology. By modulating the deposition condition, we investigated the influences of surface roughness, crystalline condition, and surface hydroxyl group levels on the sensing response. To achieve parts-per-billion (ppb) level detection, the ultrathin thickness is essential, and the high-level crystal together with the low-level surface hydroxyl group also enhances the sensitivity and the recovery. The humidity effect is also discussed to show an almost unchanged response in relative humidity (RH) from 30 to 70%. In summary, the WO3 sensor shows good sensing performance, including a high sensitivity, a wide detecting concentration range (17 ppm to 100 ppb), and fast response/recovery (30 s/∼21 s) at low NO2 concentration (0.68 ppm). Finally, the good enough selectivity, stability, and nondecayed sensing of the WO3-based gas sensor after 14 days were demonstrated.

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A critical review on air pollutant exposure and age-related macular degeneration

Cited by 7 publications

References 112 publications

Epidemiology of geographic atrophy and its precursor features of intermediate age‐related macular degeneration

Epidemiology of geographic atrophy and its precursor features of intermediate age‐related macular degeneration

Automated classification of choroidal neovascularization, diabetic macular edema, and drusen from retinal OCT images using vision transformers: a comparative study

Sputtered Ultrathin WO₃ for Realizing Room-Temperature High-Sensitive NO₂ Gas Sensors

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A critical review on air pollutant exposure and age-related macular degeneration

Cited by 7 publications

References 112 publications

Epidemiology of geographic atrophy and its precursor features of intermediate age‐related macular degeneration

Epidemiology of geographic atrophy and its precursor features of intermediate age‐related macular degeneration

Automated classification of choroidal neovascularization, diabetic macular edema, and drusen from retinal OCT images using vision transformers: a comparative study

Sputtered Ultrathin WO3 for Realizing Room-Temperature High-Sensitive NO2 Gas Sensors

Contact Info

Product

Resources

About

Sputtered Ultrathin WO₃ for Realizing Room-Temperature High-Sensitive NO₂ Gas Sensors