Polymorphisms in oxidative stress, metabolic detoxification, and immune function genes, maternal exposure to ambient air pollution, and risk of preterm birth in Taiyuan, China
Introduction
Preterm birth (PB) is a significant clinical and public health problem due to its high prevalence and associated neonatal mortality, childhood morbidity, as well as chronic diseases in adulthood (Falah et al., 2013). However, the etiology of PB remains unclear, with few established risk factors. Several lines of evidence have suggested that genetic predisposition plays an important role in PB (Monangi et al., 2015; Chawla, 2018). Many scientific works have demonstrated that genetic polymorphisms in oxidative stress genes may be independent predictors for PB and/or prematurity complications (Chawla, 2018; Giusti et al., 2012; Costantine et al., 2012; Tsai et al., 2008; Sram et al., 1999; Vora et al., 2017). Several antioxidant enzymes including glutathione peroxidase (GPX) and glutathione reductase (GR) have been found to be significantly higher in the placenta of women having PB than those having full term birth (Ahamed et al., 2009; Jacob-Ferreira et al., 2010). Recent studies found that genetic polymorphisms in metabolic detoxification-related genes (i.e. cytochrome P450 1A1 (CYP1A1), glutathione S-transferase mu 1 (GSTM1), and theta 1 (GSTT1)) modulated risk of PB associated with exposure to environmental toxicants (Behrman and Butler, 2007) including heavy metals (Wang et al., 2000; Shachar et al., 2013), pesticides (Mustafa et al., 2013), and cigarette smoking (Tsai et al., 2008; Nukui et al., 2004). Candidate gene studies have shown that some genetic variants in immune system (MBL2, NOS2, IL1, TNF, etc.), are significantly associated with PB (Strauss et al., 2018; Silva et al., 2020).
Particulate matter (PM), along with ozone (O3), nitrogen dioxide (NO2), sulfur dioxide (SO2), and carbon monoxide (CO) are the common harmful ambient air pollutants (Criteria Air Pollutants.). PM10 (particles <10 μm in aerodynamic diameter) and PM2.5 (<2.5 μm) include inhalable particles that are small enough to penetrate the thoracic region of the respiratory system. There are serious risks to health not only from exposure to PM, but also from exposure to O3, NO2, SO2 and CO. As with PM, concentrations are often highest largely in the urban areas of low- and middle-income countries (Koren, 1995). NO2 and SO2 play an important role in PB (Ambient Outdoor Air Pollution, 2014; Sheikh et al., 2016). It has been suggested that CO is a significant mediator of cardiovascular status following PB (Stark et al., 2009). The World Health Organization (WHO) estimates that the majority of outdoor air pollution-related premature deaths were due to ischemic heart disease, strokes, chronic obstructive pulmonary disease or acute lower respiratory infections, and lung cancer. Thus, exposure to various ambient air pollutants is of particular relevance to pregnancy outcomes, including PB. However, the effects of the mixture of those five ambient air pollutants on PB have not yet been studied, particularly in high air pollution areas. In 2013, Beijing launched a four-color alert system based on the air quality index (AQI), which is calculated based on the levels of the five aforementioned ambient air pollutants, and has been applied to all cities in China to indicate how clean or polluted the air is. We have reported positive associations between exposure to higher levels of PM10 and PM2.5 exposure during pregnancy and risk of PB and abnormal fetal growth in our previous studies performed in Northern China (Zhao et al., 2015, 2018; Cheng et al., 2016), but the overall combined effect of maternal exposure to air pollution estimated from PM, O3, NO2, SO2, and CO on risk of PB is not well known.
Emerging evidence suggested that genetic variations could modify the relationship between air pollution and the risk of PB (Sheikh et al., 2016). Only one study has investigated genetic variation in metabolic detoxification genes modulating the risk of PB associated with maternal exposure to ambient air pollution (Suh et al., 2008). No study, however, has examined the joint effects of genetic variation in oxidative stress and immune function pathways and ambient air pollution on the risk of PB.
Taken together, exposure to air pollutants may be associated with PB through oxidative stress, metabolic detoxification, and immune function processes, and such an association may be further modified by polymorphisms in genes involved in these pathways. In order to address the important gap in literature regarding this research question, we used a candidate gene approach to investigate whether the relationship between maternal exposure to ambient air pollution and risk of PB is modulated by single nucleotide polymorphisms (SNPs) involved in oxidative stress, metabolic detoxification, and immune function processes in a Chinese population.
Section snippets
Study population
Details of the study population were described in previous publications (Wu et al., 2016, 2017). In brief, a birth cohort was established at the Department of Obstetrics and Gynecology of the First Affiliated Hospital of Shanxi Medical University in Taiyuan, China between March 2012 and November 2013. All the study procedures were approved by the Human Investigation Committee at Shanxi Medical University. All experiments were performed in accordance with relevant guidelines and regulations.
Results
The main characteristics of the study population are shown in Table 1. Cases were more likely to have PE and higher education level compared to controls. No statistically significant differences were detected in pre-pregnancy BMI, parity, maternal diabetes, smoking during pregnancy, employment, family income, and maternal age. Compared to the excluded subjects in the entire cohort (Supplementary Table 3), the included subjects in the current study were lower educated, less employed,
Discussion
Our study found that higher levels of maternal AQI exposure are associated with a higher risk of PB among women who carried GPX4-AC/CC (rs376102), GLRX-TT (rs889224), VEGFA-CC (rs3025039), or IL1A- GT/TT (rs3783550) genotypes. After adjustment for multiple comparisons, GPX4-rs376102 and AQI interaction remained statistically significant.
No published studies have investigated the interactions of maternal exposure to ambient air pollution and genetic polymorphisms in GPX4, GLRX, VEGFA and IL1A
Author contributions statement
Zhao Nan: Formal analysis, Writing – original draft, Writing – review & editing, Funding acquisition. Wu Weiwei: Investigation, Funding acquisition. Feng Yongliang, Yang Feifei, Han Tianbi, Guo Mengzhu, Ren Qingwen, Li Wangjun, Li Jinbo: Investigation, Data curation. Wang Suping, Yawei Zhang: Conceptualization, Supervision, Writing – review & editing.
Declaration of competing interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Acknowledgement
Funding
This work was supported by the National Natural Science Foundation of China: Grant No. 81803323, 81703314, and 81473061, the ‘‘100 Talent Plan’’ Award of Shanxi Province, and finally the ‘‘10 Talent Plan’’ Award of Shanxi Medical University.
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Authors contributed equally to this work.