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Association of Short-Term Exposure to PM 2.5 with Blood Lipids and the Modification Effects of Insulin Resistance: A Panel Study in Wuhan.

Jinhui SunShouxin PengZhaoyuan LiFeifei LiuChuangxin WuYuanan LuHao Xiang
Published in: Toxics (2022)
Results of previous studies about the acute effects of fine particulate matter (PM 2.5 ) on blood lipids were inconsistent. This study aimed to quantify the short-term effects of PM 2.5 on blood lipids and estimate the modifying role of insulin resistance, reflected by the homeostasis model assessment of insulin resistance (HOMA-IR). From September 2019 to January 2020, the study recruited 70 healthy adults from Wuhan University for a total of eight repeated data collections. At each visit, three consecutive days were monitored for personal exposure to PM 2.5 , and then a physical examination was carried out on the fourth day. The linear mixed-effect models were operated to investigate the impact of PM 2.5 over diverse exposure windows on blood lipids. With the median of the HOMA-IR 1.820 as the cut-off point, participants were assigned to two groups for the interaction analyses. We found the overall mean level (standard deviation, SD) of PM 2.5 was 38.34 (18.33) μg/m 3 . Additionally, with a 10 μg/m 3 rise in PM 2.5 , the corresponding largest responses in triglyceride (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), as well as high-density lipoprotein cholesterol (HDL-C), were -0.91% (95% confidence interval (CI): -1.63%, -0.18%), -0.33% (95% CI: -0.64%, -0.01%,), -0.94% (95% CI: -1.53%, -0.35%), and 0.67% (95% CI: 0.32%, 1.02%), respectively. The interaction analyses revealed that a significantly greater reduction in the four lipids corresponded to PM 2.5 exposure when in the group with the lower HOMA-IR (<1.820). In conclusion, short-term PM 2.5 exposure over specific time windows among healthy adults was associated with reduced TG, TC, as well as LDL-C levels, and elevated HDL-C. Additionally, the association of PM 2.5 -lipids may be modulated by insulin resistance.
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