Air pollution mixture associated with oxidative stress exacerbation and symptoms deterioration in allergic rhinitis patients: Evidence from a panel study

• Published in: The Science of the total environment 2024-06, Vol.930, p.172688-172688, Article 172688
• Main Authors: Li, Jinhui, Wu, Haisheng, Xing, Weiwei, Li, Xin, Han, Zheshen, Ji, Renyue, Deng, Zhengyi, Jung, Minji, Sun, Shengzhi, Chung, Benjamin I., Cardenas, Andres, Langston, Marvin E.
• Format: Article
• Language: English
• Subjects: Adult; Air Pollutants - adverse effects; Air Pollution - adverse effects; Air Pollution - statistics & numerical data; Air pollution mixture; Allergic rhinitis; Bayesian kernel machine regression; Environmental Exposure - adverse effects; Environmental Exposure - statistics & numerical data; Female; Humans; Male; Middle Aged; Oxidative Stress; Particulate Matter; Quality of Life; Rhinitis, Allergic
• ISSN: 0048-9697; 1879-1026
• DOI: 10.1016/j.scitotenv.2024.172688

With allergic rhinitis (AR) on the rise globally, there has been a growing focus on the role of environmental pollutants in the onset of AR. However, the potential mechanisms by how and which these pollutants exacerbate AR conditions remain unknown. This panel study of 49 patients diagnosed with AR over one year aimed to assess the individual and combined effects of short-term exposure to multiple ambient pollutants on oxidative stress, symptoms, and quality of life among patients with AR. All participants underwent four repeated assessments of health conditions and personal environmental exposures (PM2.5, O3, SO2, and NO2) over warm and cold seasons during 2017–2018. We evaluated two oxidative stress biomarkers (malondialdehyde [MDA], and superoxide dismutase [SOD]) via nasal lavage. We collected information on self-reported symptoms and quality of life using the Rhinitis Symptom Scale (SRS), the Visual Analog Scale (VAS), and the Rhinoconjunctivitis Quality of Life Questionnaire (RQLQ) through in-person interviews. Bayesian kernel machine regression (BKMR) was used to evaluate the joint effects of pollutant mixture and identify key contributors. The results revealed a significant association of the pollutant mixture when all four pollutants were at or above their median levels, with increased oxidative stress. This was evidenced by elevated MDA and reduced SOD. We found a joint detrimental effect of the pollutant mixture on AR symptoms with a strong association with increased SRS scores, but a non-significant positive association with VAS and RQLQ scores. PM2.5, O3, and SO2 presented as the potentially primary contributors to the adverse health effects associated with the pollutant mixture in Taiyuan city. Patients with AR exposed to short-term air pollutant mixture are more likely to have greater nasal symptoms and worse quality of life from increased oxidative stress and reduced antioxidant capacity. Further research is warranted to better elucidate the underlying mechanisms. [Display omitted]