Vasishta Sampara, Adiga Usha
Department of Biochemistry, Apollo Institute of Medical Sciences and Research Chittoor, Murukambattu, 517127, Andhra Pradesh, India.
Environ Sci Pollut Res Int. 2025 May;32(23):13527-13538. doi: 10.1007/s11356-025-36508-y. Epub 2025 May 17.
India is rapidly becoming the global epicenter of type 2 diabetes (T2D), a complex disease influenced by multiple factors including diet, lifestyle, urbanization, genetics, and environmental exposures such as air pollution. The rapid pace of urbanization, coupled with growing population density, exacerbates air pollution levels in major Indian cities, with pollutants such as particulate matter (PM2.5), (PM10), nitrogen dioxide (NO2), nitrogen oxides (NOX), and carbon monoxide (CO) being significantly elevated in comparison with the rural areas. These pollutants have been implicated in the pathogenesis of T2D, by inducing insulin resistance, oxidative stress, and endothelial dysfunction leading to vascular complications of T2D. International studies also highlight a similar association between air pollution and the incidence of T2D. The multifactorial nature of the disease, combined with the myriad of contributing environmental and lifestyle factors, makes it challenging to pinpoint specific risk elements. To mitigate the impact of these combined factors, continuous monitoring of air quality is imperative. Monitoring of traffic emissions, promotion of electric vehicles (EVs), and enhancement of mass transit options can each mitigate the impact of air pollution on type 2 diabetes. Furthermore, the integration of artificial intelligence (AI) and machine learning (ML) can optimize these interventions, making them even more effective. Urban planning strategies focused on increasing green spaces, afforestation, and sustainable construction practices are essential for long term health benefits. Collectively, these solutions present a holistic approach to combating T2D and improving public health amidst the challenges posed by urbanization and environmental pollution in India.
印度正迅速成为2型糖尿病(T2D)的全球中心,这是一种受多种因素影响的复杂疾病,这些因素包括饮食、生活方式、城市化、遗传学以及空气污染等环境暴露因素。城市化的快速发展,加上人口密度的不断增加,加剧了印度主要城市的空气污染水平,与农村地区相比,诸如细颗粒物(PM2.5)、可吸入颗粒物(PM10)、二氧化氮(NO2)、氮氧化物(NOX)和一氧化碳(CO)等污染物显著升高。这些污染物通过诱导胰岛素抵抗、氧化应激和内皮功能障碍,导致T2D的血管并发症,从而与T2D的发病机制有关。国际研究也强调了空气污染与T2D发病率之间的类似关联。该疾病的多因素性质,加上众多环境和生活方式因素的共同作用,使得确定具体的风险因素具有挑战性。为了减轻这些综合因素的影响,空气质量的持续监测势在必行。监测交通排放、推广电动汽车(EV)以及增加公共交通选择,均可减轻空气污染对2型糖尿病的影响。此外,人工智能(AI)和机器学习(ML)的整合可以优化这些干预措施,使其更加有效。专注于增加绿地、植树造林和可持续建设实践的城市规划策略,对于长期的健康益处至关重要。总体而言,这些解决方案提出了一种全面的方法,以应对印度城市化和环境污染带来的挑战,抗击T2D并改善公众健康。