Huanhuan Zhu1, Yanling Wu1, Xingya Kuang2, Hanting Liu1, Zheng Guo1, Jing Qian3, Dafei Wang4, Meilin Wang1, Haiyan Chu5, Weida Gong6, Zhengdong Zhang7. 1. Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center of Global Health, School of Public Health, Nanjing Medical University, Nanjing, China. 2. Department of Occupational Medicine, Yangpu Hospital, Tongji University School of Medicine, Shanghai, China. 3. Department of General Surgery, Yizheng Hospital, Nanjing Drum Tower Hospital Group, Yizheng, China. 4. Department of Radiotherapy, Yixing Cancer Hospital, Yixing, China. 5. Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center of Global Health, School of Public Health, Nanjing Medical University, Nanjing, China. Electronic address: chy_grape@njmu.edu.cn. 6. Department of General Surgery, Yixing People's Hospital, Yixing, China. Electronic address: staff604@yxph.com. 7. Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center of Global Health, School of Public Health, Nanjing Medical University, Nanjing, China. Electronic address: drzdzhang@njmu.edu.cn.
Abstract
BACKGROUND: Ambient fine particulate matter (PM2.5) pollution poses a great threat on global health. Previous studies have reported that PM2.5 regulates circulating fibrinogen and IL-6 levels in the development of cardiovascular and respiratory disease. However, the correlation between PM2.5 exposure and both biomarkers remains inconsistent. METHODS: We searched related articles through PubMed, Web of Science and ScienceDirect. Random effects model was used to obtain a pooled estimate effect of both biomarkers as PM2.5 concentration increased by every 10 μg/m3. Meta-regression analysis, sensitivity analysis and publication bias test were conducted to evaluate the heterogeneity, stability and reliability of this meta-analysis. RESULTS: A total of 22 articles were included. Each 10 μg/m3 increase in PM2.5 concentration was significantly correlated with a 1.76% increase in circulating fibrinogen level (95% CI: 0.38%-3.14%, P = 0.013) and a 4.66% increase in IL-6 level (95% CI: 1.14%-8.18%, P = 0.010). Subgroup analysis revealed that high-level PM2.5 exposure had a more significant association with circulating IL-6 level (11.67%, 95% CI: 0.66%-22.69%, P = 0.038) than low-level exposure, but this association was not observed in fibrinogen (2.50%, 95% CI: -0.78%-5.77%, P = 0.135). Sensitivity analysis and publication bias test confirmed the stability of the results. CONCLUSION: Circulating fibrinogen and IL-6 significantly increased with exposure to PM2.5, may serve as promising biomarkers for PM2.5-related adverse effects.
BACKGROUND: Ambient fine particulate matter (PM2.5) pollution poses a great threat on global health. Previous studies have reported that PM2.5 regulates circulating fibrinogen and IL-6 levels in the development of cardiovascular and respiratory disease. However, the correlation between PM2.5 exposure and both biomarkers remains inconsistent. METHODS: We searched related articles through PubMed, Web of Science and ScienceDirect. Random effects model was used to obtain a pooled estimate effect of both biomarkers as PM2.5 concentration increased by every 10 μg/m3. Meta-regression analysis, sensitivity analysis and publication bias test were conducted to evaluate the heterogeneity, stability and reliability of this meta-analysis. RESULTS: A total of 22 articles were included. Each 10 μg/m3 increase in PM2.5 concentration was significantly correlated with a 1.76% increase in circulating fibrinogen level (95% CI: 0.38%-3.14%, P = 0.013) and a 4.66% increase in IL-6 level (95% CI: 1.14%-8.18%, P = 0.010). Subgroup analysis revealed that high-level PM2.5 exposure had a more significant association with circulating IL-6 level (11.67%, 95% CI: 0.66%-22.69%, P = 0.038) than low-level exposure, but this association was not observed in fibrinogen (2.50%, 95% CI: -0.78%-5.77%, P = 0.135). Sensitivity analysis and publication bias test confirmed the stability of the results. CONCLUSION: Circulating fibrinogen and IL-6 significantly increased with exposure to PM2.5, may serve as promising biomarkers for PM2.5-related adverse effects.