Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

The growing global prevalence of artificial light at night (ALAN) and air pollution has raised concerns regarding their effects on human health. Several epidemiological, preclinical, and clinical studies suggest that both ALAN and air pollution can independently contribute to adverse brain health outcomes, including cognitive decline, increased risk of neurodegenerative diseases, and behavioral disorders. Air pollutants can enter the bloodstream and reach the brain, leading to potential neuropathology. Exposure to ALAN disrupts circadian rhythms, suppresses melatonin production, and alters sleep patterns, causing detrimental health consequences. Recent research highlights a complex interaction between these two pollutants and emphasizes the need for future studies exploring their synergistic effects. The current review provides an overview of how air and light pollution influence brain health and lead to different physiological and behavioral issues. We explored the potential mechanisms that may underlie their combined effects, such as oxidative stress, inflammation, disruption of circadian rhythms, blood-brain barrier disruption, and genetic alterations. This review also calls for future research in order to investigate the biological pathways at play and identifies critical research gaps. Understanding the interaction between ALAN and air pollution is crucial for developing effective health care strategies to mitigate their harmful effects on the brain and central nervous system.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.neubiorev.2025.106293DOI Listing

Publication Analysis

Top Keywords

alan air
12
air pollution
12
air light
8
light pollution
8
brain health
8
circadian rhythms
8
effects
5
pollution
5
brain
5
air
5

Similar Publications

Urbanization causes environmental changes like habitat loss, fragmentation, and pollution, which reduce biodiversity. Urban organisms face stressors, such as heat islands, air and water pollution, and anthropogenic noise, all of which can disrupt their development, behavior, and physiology. While some species adapt to urban environments, their responses and the role of evolution in urbanization are limited, as most studies focus on phenotypic traits.

View Article and Find Full Text PDF

The growing global prevalence of artificial light at night (ALAN) and air pollution has raised concerns regarding their effects on human health. Several epidemiological, preclinical, and clinical studies suggest that both ALAN and air pollution can independently contribute to adverse brain health outcomes, including cognitive decline, increased risk of neurodegenerative diseases, and behavioral disorders. Air pollutants can enter the bloodstream and reach the brain, leading to potential neuropathology.

View Article and Find Full Text PDF

3D Tissue Culture Model for Virology Studies.

Methods Mol Biol

June 2025

Department of Microbiology, Immunology and Infectious Diseases, University of Calgary, Calgary, AB, Canada.

Infectious diseases, including recent outbreaks of H7N9 influenza, Ebola, Zika, and SARS-CoV-2, remain significant global health threats. While traditional two-dimensional (2D) cell cultures have long been the cornerstone of virology research, their inability to replicate complex in vivo microenvironments, such as cell-cell interactions, apical-basal polarity, and extracellular signaling gradients, limits their utility for studying viral pathogenesis and drug responses. Three-dimensional (3D) culture systems overcome these limitations by providing physiologically relevant platforms that better mimic native tissue environments.

View Article and Find Full Text PDF

A foundation model for the Earth system.

Nature

May 2025

Microsoft Research, AI for Science, Amsterdam, The Netherlands.

Reliable forecasting of the Earth system is essential for mitigating natural disasters and supporting human progress. Traditional numerical models, although powerful, are extremely computationally expensive. Recent advances in artificial intelligence (AI) have shown promise in improving both predictive performance and efficiency, yet their potential remains underexplored in many Earth system domains.

View Article and Find Full Text PDF

Previous studies have indicated associations between air pollutants, outdoor artificial light at night (ALAN) exposure, and diabetes risk, but their interactive effects remain insufficiently validated. Based on data from two large Chinese cohorts (CHARLS and CFPS) with 28,903 participants followed for 3 years (2013-2018), we employed Cox proportional hazards regression models to evaluate the associations of pollutants and outdoor ALAN with diabetes incidence risk and their interactions, along with stratified analyses. Results demonstrated significant linear relationships between PM and PM concentrations and diabetes risk.

View Article and Find Full Text PDF