Modification Effect of PARP4 and ERCC1 Gene Polymorphisms on the Relationship between Particulate Matter Exposure and Fasting Glucose Level

Jin Hee Kim, Seungho Lee and Yun-Chul Hong
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Jin Hee Kim: Department of Integrative Bioscience & Biotechnology, Sejong University, 209 Neungdong-ro, Gwangjin-gu, Seoul 05006, Korea
Seungho Lee: Department of Preventive Medicine, College of Medicine, Dong-A University, 32 Daesingongwon-ro, Seo-gu, Busan 49201, Korea
Yun-Chul Hong: Department of Preventive Medicine, Seoul National University College of Medicine, 28 Yongon-dong, Chongno-gu, Seoul 03080, Korea

IJERPH, 2022, vol. 19, issue 10, 1-13

Abstract: Particulate matter (PM) has been linked to adverse health outcomes, including insulin resistance (IR). To evaluate the relationships between exposures to PM 10 , PM 2.5–10 , and PM 2.5 ; the serum level of fasting glucose, a key IR indicator; and effects of polymorphisms of two repair genes ( PARP4 and ERCC1 ) on these relations, PMs exposure data and blood samples for glucose measurement and genotyping were collected from 527 Korean elders. Daily average levels of PMs during 8 days, from 7 days before examination to the health examination day (from lag day 7 to lag day 0), were used for association analyses, and mean concentrations of PM 10 , PM 2.5–10 , and PM 2.5 during the study period were 43.4 µg/m 3 , 19.9 µg/m 3 , and 23.6 µg/m 3 , respectively. All three PMs on lag day 4 (mean, 44.5 µg/m 3 for PM 10 , 19.9 µg/m 3 for PM 2.5–10 , and 24.3 µg/m 3 for PM 2.5 ) were most strongly associated with an increase in glucose level (percent change by inter-quartile range-change of PM: (β) = 1.4 and p = 0.0023 for PM 10 ; β = 3.0 and p = 0.0010 for PM 2.5–10 ; and β = 2.0 and p = 0.0134 for PM 2.5 ). In particular, elders with PARP4 G-C-G or ERCC1 T-C haplotype were susceptible to PMs exposure in relation to glucose levels ( PARP4 G-C-G: β = 2.6 and p = 0.0006 for PM 10 , β = 3.5 and p = 0.0009 for PM 2.5–10 , and β = 1.6 and p = 0.0020 for PM 2.5 ; ERCC1 T-C: β = 2.2 and p = 0.0016 for PM 10 , β = 3.5 and p = 0.0003 for PM 2.5–10 , and β = 1.2 and p = 0.0158 for PM 2.5 ). Our results indicated that genetic polymorphisms of PARP4 and ERCC1 could modify the relationship between PMs exposure and fasting glucose level in the elderly.

Keywords: particulate matter; PM 10; PM 2.5 –10; PM 2.5; fasting glucose; repair gene; PARP4; ERCC1; genetic polymorphism (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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