Wenming Shi1,2†Meiyan Jiang3†
Lena Kan4Tiantian Zhang5Qiong Yu6Zexuan Wu7Shuya Xue8Xiaoyang Fei3*
Changbo Jin9*- 1Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
- 2School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
- 3Department of Reproductive Medicine, Hangzhou Women's Hospital, Hangzhou, China
- 4Division of Population, Family and Reproductive Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States
- 5School of Public Health, Fudan University, Shanghai, China
- 6Reproductive Medicine Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- 7Department of Reproductive Center, Peking University Shenzhen Hospital, Shenzhen, China
- 8Hangzhou Medical College, Hangzhou, China
- 9Shanghai Key Laboratory of Maternal-Fetal Medicine, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
Objectives: Exposure to air pollutants has been linked to preterm birth (PTB) after natural conception. However, few studies have explored the effects of air pollution on PTB in patients who underwent in vitro fertilization (IVF). We aimed to investigate the association between ambient air pollutants exposure and PTB risk in IVF patients.
Methods: This retrospective cohort study included 2,195 infertile women who underwent IVF treatment from January 2017 and September 2020 in Hangzhou Women's Hospital. Totally 1,005 subjects who underwent a first fresh embryo(s) transfer cycle were analyzed in this study. Residential exposure to ambient six air pollutants (PM2.5, PM10, SO2, NO2, CO, O3) during various periods of the IVF timeline were estimated by satellite remote-sensing and ground measurement. Cox proportional hazards models for discrete time were used to explore the association between pollutants exposure and incident PTB, with adjustment for confounders. Stratified analyses were employed to explore the effect modifiers.
Results: The clinical pregnancy and PTB rates were 61.2 and 9.3%, respectively. We found that PM2.5 exposure was significantly associated with an increased risk of PTB during 85 days before oocyte retrieval [period A, adjusted hazard ratio, HR=1.09, 95%CI: 1.02–1.21], gonadotropin start to oocyte retrieval [period B, 1.07 (1.01–1.19)], first trimester of pregnancy [period F, 1.06 (1.01–1.14)], and the entire IVF pregnancy [period I, 1.07 (1.01–1.14)], respectively. An interquartile range increment in PM10 during periods A and B was significantly associated with PTB at 1.15 (1.04–1.36), 1.12 (1.03–1.28), and 1.14 (1.01–1.32) for NO2 during period A. The stratified analysis showed that the associations were stronger for women aged <35 years and those who underwent two embryos transferred.
Conclusions: Our study suggests ambient PM2.5, PM10, and NO2 exposure were significantly associated with elevated PTB risk in IVF patients, especially at early stages of IVF cycle and during pregnancy.
Introduction
Preterm birth (PTB, <37 weeks of gestation) has become the leading cause of infant mortality and neonatal morbidity (1). It has been estimated that about 2.7 million (1.8–3.5 million) births globally were preterm in 2010 (2), while the rate of PTB in China was 7.1% in the same year, ranking second after India (3). Studies have indicated that PTB may not only lead to direct death and disability in neonates, but also accounts for increased risks of respiratory (4), cardiovascular (5), and metabolic diseases (6, 7)in later life. Acknowledging the heavy burden that PTB imposes on both infants and the wider society, identification of its risk factors is imperative.
In recent years, a growing number of studies have focused on the effects of air pollutants on adverse pregnancy outcomes, including PTB (8–11). As the largest developing country in the world, China is now facing severe air pollution-related challenges. Several studies have demonstrated that air pollutants exposure may be associated with an increased risk of PTB (2, 8, 12, 13). However, the results were still inconsistent, and the mechanisms whereby air pollutants could increase the PTB risk remain inconclusive. Oxidative stress, endothelial dysfunction, respiratory infections, hemodynamic responses, and endocrine disruption are of primary interest to determine whether any of these effects are attributed with PTB (14). Identifying the susceptible exposure windows would be helpful to illuminate the possible mechanism of air pollutants on adverse pregnancy outcomes. However, most previous studies were conducted among pregnancies achieved through natural conception, and although specific trimesters during pregnancy were examined, the effects of air pollution during the period before pregnancy remain unclear.
Since 1978, more than five million children were born through assisted reproductive technology (ART) treatment (15). This provides the opportunity for a novel evaluation of the effects of air pollutants because it is possible to observe many early reproductive outcomes, such as embryo implantation that can't be observed in natural pregnancy (16). Furthermore, the timing of conception is known with certainty because key events in the IVF treatment are timed and trigger by a physician, exact exposure periods of air pollutants can be determined (16, 17). To date, several studies have reported the association between air pollutants exposure and follicle growth, a reduced rate of implantation, pregnancy or live birth in women who underwent ART treatment, but the results were inconsistent (16, 18–21). However, few epidemiology studies have explored the effects of ambient air pollution during different time windows on PTB incidence in patients who underwent IVF treatment in China.
Therefore, we addressed this gap in knowledge by investigating the association between ambient air pollutants exposure and the incident risk of PTB in women who underwent IVF treatment in Hangzhou, China, in a retrospective cohort study. Furthermore, we explored the potential time windows of exposure to air pollutants that could serve as a reference for identifying the biological mechanisms of PTBs and thereby decreasing the overall disease burden attributed to air pollution.
Methods
Study Design and Participants
We performed a retrospective cohort study among 2,195 patients, aged 20 to 43 years, living in Hangzhou, who underwent IVF cycles at the Department of Reproductive Medicine of Hangzhou Women's Hospital (latitude 30°23′ N, longitude 120°20′ E) between January 1, 2017 and September 30, 2020. During the entire IVF cycle, no subjects reported relocating or changing their residential address. Participants were excluded if they (1) underwent frozen–thawed embryos transfer, (2) received day 5 blastocyst transfer, or (3) underwent recurrent embryo transfer cycles. Finally, 1,005 patients who underwent a first, fresh embryo transfer in first cycle were enrolled in our study. The flowchart of the participants included in this study is shown in Figure 1. All data were anonymous and stripped of any identifier.
Figure 1. The flowchart of the participants enrollment.
IVF Procedures
The integrated IVF procedure included four stages: controlled ovarian stimulation (COS), oocyte retrieval, embryo transfer, and pregnancy test. The best ovulation scheme and the initial dose of exogenous gonadotropins (Gn) were determined according to the patient's age, body mass index (BMI), and ovarian reserve. Generally, participants underwent one of three COS protocols according to their ovarian reserve: the long gonadotropin-releasing hormone (GnRH)-agonist (-a) regimen (generally used for normal/high responders), GnRH antagonist (-ANT) regimen (generally used for high responders), and other regimens (such as mild stimulation regimens and progesterone-activated ovarian stimulation regimens [PPOS]). In the GnRH-ANT regimen, subjects were injected daily with recombinant or human menopausal gonadotropin (Gonal-F or Puregon or HMG) from day 2 or day 3 of the menstrual cycle. When at least one follicle reached 12 mm in size or after stimulating to day 6, a gonadotropin-releasing hormone antagonist, 0.125 mg or 0.25 mg, was injected subcutaneously daily until the trigger day. The long GnRH-a regimen started a with GnRH agonist (subcutaneous injection of triptorelin 0.1 mg/d) 7–10 days before the menstrual cycle, followed by gonadotropin therapy 14 days later. In the mild stimulation regimen or the PPOS regimen, subjects were given clomiphene citrate (50 or 100 mg) or a progesterone capsule (200 g) on the second or third day of the menstrual cycle, respectively, and gonadotropin was administered simultaneously. When the diameter of two or more follicles reached ≥18 mm, 10,000 U hCG (Lizhu Pharmaceutical Co., Ltd. China) was injected subcutaneously on the trigger day. For subjects with a high response >20 follicles, 4,000–5,000 IU hCG was injected subcutaneously on the trigger day. About 36–37 h after the hCG trigger, eggs were collected using transvaginal ultrasound. Semen was collected through masturbation, and spermatozoa were prepared by density gradient centrifugation. Embryologists chose IVF and/or intracytoplasmic sperm injection (ICSI) according to sperm quality. If the 2PN embryo had 7–10 blastomeres, no nuclear fragments <5%, and no obvious morphological abnormalities, the embryo was considered of good quality by the third day. For patients who received fresh embryo transfer, one or two embryos were transferred on the third day after egg extraction, under the guidance of transabdominal ultrasound. Luteal support began on the day of egg collection. The remaining embryos were frozen according to the standard procedure of the Center. Among women who tested positive for hCG on the 14th day after transplantation, luteal phase support lasted until 10 weeks of pregnancy. Clinical pregnancy was defined when an intrauterine pregnancy sac was identified by ultrasound 5 weeks (35 days) after embryo transfer and abortion was defined as spontaneous abortion before 28 weeks. Live birth was defined as all live births in embryo transfer cycles, and PTB was defined as babies born at <37 weeks of gestational age.
Ambient Air Pollutants Exposure
Ambient daily levels of fine particulate matter (PM2.5), inhalable particulate matter (PM10) were obtained from the China High Air Pollutants (CHAP) datasets. The detailed methodology was described previously (22–24). Briefly, it is generated from a combination of satellite- derived MODIS/Terra+Aqua MAIAC aerosol optical depth (AOD), ground-based monitoring, atmospheric reanalysis, and model stimulation. The randomized tree approach estimated the ambient concentration of PM2.5 and PM10 at ~1 ×1 km resolution with 10-fold cross-validation R2 of 0.87 and 0.73, respectively. In this study, geocoding was performed at each residential location of participants to estimate the exposure concentration of PM2.5 and PM10, and then calculated the average level during each time period.
For other criteria pollutants, ambient daily average of sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO) and ozone (O3) were measured from the nearest air monitoring station of each residential address, and obtained from the China National Environmental Monitoring Center (http://www.cnemc.cn) during the study period. The distance from each participant's residence to their nearest air monitoring station ranged from 0.11 to 9.97 km (mean: 3.24 km, median: 3.06 km). Available data of the station-specific air pollutants were spatially interpolated using inverse distance-squared weighting to estimate the exposure level of each participant during the study period (25, 26).
To evaluate the potential susceptible time windows, the study period for each subject was divided into nine discrete time periods based on the IVF timeline: (1) period A: 85 days before oocyte retrieval; (2) period B: from commencing gonadotropin treatment to oocyte retrieval; (3) period C: from oocyte retrieval to embryo transfer; (4) period D: from embryo transfer to serum hCG test; (5) period E: from serum hCG test to ultrasound test; (6) period F: the first trimester of pregnancy (from commencing gonadotropin treatment to gestational week 13 in IVF women); (7) period G: the second trimester of pregnancy (from gestational week 14–26); (8) period H: the third trimester of pregnancy (from gestational week 27 to delivery outcome); (9) period I: from 85 days before oocyte retrieval to delivery outcome. The timeline of the research periods of the whole IVF pregnancy is presented in Figure 2. We calculated the average exposure concentration of each air pollutant during different periods for each participant.
Figure 2. Timeline of exposure windows during a fresh in vitro fertilization cycle.
Covariates
At enrollment, information on maternal age, maternal pre-pregnancy body mass index (BMI), educational level, employment status, residential locations (urban vs. non-urban, which defined by the Chinese administrative division), and cigarette smoking exposure (yes or no) were collected from medical records. Education level was classified into three groups: ≤ middle school; high school, and ≥ junior college school. In addition, the covariables related to IVF treatment, including the duration of infertility, infertility diagnosis (which were classified into three groups: male factor; female factor, and other factors), oocyte insemination technique, treatment protocols, number of oocytes retrieved, normal (2PN) fertilized oocytes, number of embryos transferred (one or two) and year of embryo transfer were also recorded. Daily ambient temperature and relative humidity (RH) were derived from China Meteorological Data Service Center (http://data.cma.cn/en) and averaged for each time period.
Statistical Analyses
Descriptive statistics were performed for all clinical and environmental data. The continuous variables are expressed as mean ± standard deviations (SD) and the categorical variables are summarized as counts and percentages. Spearman's rank correlation analysis was used to evaluate the correlations across air pollutants as well as within pollutants over time. A potential collinearity was considered when the Spearman's correlation coefficients of pairwise pollutants were higher than 0.60.
Multivariable Cox proportional hazards models for discrete time periods were used to explore the associations between ambient air pollutants and PTB incidence in IVF patients. Compared to the “odds ratio” from logistic regression model, Cox model provide a more straightforward interpretation that translates the hazard ratio into “risk”. Potential confounders were selected from known or potential PTB influencing factors based on current knowledge. Multivariable adjusted models included the following covariates: maternal age, maternal pre-pregnancy BMI, educational level, employment status, cigarette smoking exposure, residential locations, ambient average temperature and RH. Results from the models were calculated as the adjusted hazard ratios (HR) and 95% confidence intervals (CIs) of PTB for each interquartile range (IQR) increment in ambient air pollutants during each period.
To explore the potential effect modifications, we fitted separate models and obtained the HRs and 95%CIs by following factors: maternal age (which was classified into two subgroups: ≥ 35 years or <35 years), oocyte insemination technique (IVF vs. ICSI), and treatment protocol (long GnRH agonist vs. GnRH antagonist), and number of embryo(s) transferred (one embryo vs. two embryos), respectively.
In addition to main analyses, we performed two sensitivity analyses. Firstly, we examined the robustness of the associations by conducting a two-pollutant model to mutually adjusted the potential confounding from the co-pollutants. Secondly, we ran the multivariate regression model by further controlling for the average concentration of air pollutants during the baseline period (period A) to evaluate the independent effects of short-term variations in air pollutants.
All statistical analyses were performed by using STATA 16.0 (Stata Corporation, College Station). All p values were two sided, and statistical significance was defined as p < 0.05.
Results
In this study, we included 1,005 patients who underwent a first, fresh embryo transfer in the first cycle in Hangzhou, China. The average age and BMI of the subjects were 31.78 ± 4.02 years and 22.17 ± 3.17 kg/m2, respectively. The clinical pregnancy, live birth, and PTB rate among the study participants were 61.2, 43.7, and 9.3%, respectively. Detailed statistics of the demographics and clinical characteristics of the participants are shown in Table 1.
Table 1. Descriptive statistics regarding subject demographic and clinical characteristics.
The ambient average levels of six air pollutants during the different time periods are presented in Supplementary Figure S1. The mean (range) level of ambient PM2.5 exposure was 36.02 (23.3–47.1) μg/m3; PM10, 64.13 (39.78–104.44) μg/m3; SO2, 8.02 (5.13–10.93) μg/m3; NO2, 38.35 (22.77–51.75) μg/m3; CO, 0.82 (0.69–0.92) mg/m3, O3, 56.42 (45.45–76.36) μg/m3 during the whole IVF pregnancy among the subjects (Supplementary Figure S1). Correlation analyses showed that air pollutants were moderately to highly correlated with each other during each exposure period. Ozone was negatively correlated with other air pollutants (Supplementary Table S1). Across the timeline of the IVF cycle, specific air pollutants were moderately to highly correlated. The details about the correlation coefficient are clearly presented in Supplementary Table S2.
The multivariable adjusted Cox proportional hazards modeling showed that ambient PM2.5 exposure was significantly associated with an increased risk of PTB incidence among the participants during period A (85 days before oocyte retrieval), period B (gonadotropin start to oocyte retrieval), period F (the first trimester of pregnancy) and period I (from 85 days before oocyte retrieval to delivery outcome). The adjusted HR and 95%CIs were 1.09 (1.02–1.21), 1.07 (1.01–1.19), 1.06 (1.01–1.14) and 1.07 (1.01–1.14) for each IQR increment in PM2.5 exposure levels during the aforementioned periods, respectively (Figure 3). After further adjusting for other co-pollutants in the regression model, except for CO, robust associations were observed for ambient PM2.5 exposure levels in the two-pollutant models during the whole IVF pregnancy (Supplementary Table S3). For PM10, we found that each IQR increment in ambient PM10 exposure concentration was significantly associated with an increased PTB risk during period A and period B (Figure 3). The adjusted HRs and 95% CIs were 1.15 (1.04–1.36) and 1.12 (1.03–1.28), respectively. Furthermore, a significant association between ambient nitrogen dioxide (NO2) exposure and incident PTB during period A was observed (HR=1.14, 95% CI: 1.01–1.32) (Figure 3). However, no significant associations of PTB risk with ambient SO2, CO, and O3 were identified in this study.
Figure 3. Adjusted hazard ratio (HR) and 95% confidence interval (CI) for the association between exposure to six air pollutants and the incident risk of preterm birth during different exposure periods among the study subjects#. # Model adjusted for maternal age, maternal pre-pregnancy BMI, educational level, employment status, cigarette smoking exposure, residential locations, ambient average temperature, and relative humidity. *P < 0.05.
We found stronger associations of ambient particulate matter exposure during the entire IVF pregnancy (period I) with PTB risk among patients who aged <35 years, and those who underwent two embryos transferred (Figure 4). The stratified analyses showed that each IQR increment in PM2.5 concentration during period I was significantly associated with increase of PTB risk by 10% among women who aged <35 years. Similarly, a higher risk of PTB associated with ambient PM2.5 and PM10 was observed among the subjects who underwent two embryos transferred than those had single embryo transferred (Figure 4). However, no significant effect modification was found for treatment protocols and oocyte insemination technique among the subjects.
Figure 4. Adjusted hazard ratios (95% confidence intervals) of PTB risk per interquartile range increment in air pollutants exposure during IVF pregnancy (period I) stratified by potential modifiers. *P < 0.05.
The sensitivity analyses showed no significant changes on the associations for time-varying PM2.5 and PM10 exposure during each period and the PM further adjusted for the baseline exposure level during the 85 days before oocyte retrieval (Supplementary Figure S2).
Discussion
This retrospective cohort study investigated the association between ambient air pollutants exposure during different time windows and the incident risk of PTB in patients who underwent IVF treatment in China. We observed significant associations between time-varying PM2.5, PM10, and NO2 exposure and the increased PTB risks of infertility treatment with IVF. The specific adverse effects of these air pollutants during the exposure periods 85 days before oocyte retrieval, from gonadotropin start to oocyte retrieval, first trimester of pregnancy, and from 85 days before oocyte retrieval to delivery outcome on PTB incidence were identified. The detrimental effects were more pronounced in younger women (aged <35 years) and those who undergoing two embryos transferred. However, no significant associations were observed for PTB outcome with SO2, CO, and O3 in this study.
Similar to a previous study in IVF patients (18), the clinical pregnancy rate in our study was 61.2%. A study performed in Shengyang, China showed that the intrauterine pregnancy rate was 46.0% (27), which was lower than the recorded rate in our study. In terms of PTB rate, our finding (9.3%) was slightly higher than those reported in two prior studies involving natural conception (8.0 and 8.3%, respectively) (28, 29), indicating that IVF patients might have a higher risk of PTB. A reason for this might be that women who undergo IVF are more likely to have multiple pregnancies than those who conceive naturally, because multiple embryos might be transferred during treatment. Multiple pregnancies can pose increased risks for both mothers and for infants, such as PTB and low birth weight (30).
The average exposure concentrations of ambient PM2.5 during the entire study period were around 36.0 μg/m3, which is three times greater than what is recommended by the WHO Air Quality Guidelines (10 μg/m3 of PM2.5). In the current study, we explored the effects of ambient PM2.5 exposure during nine different time periods throughout the IVF cycle on the risk of PTB and observed significant associations for PM2.5. A national cohort study in mainland China demonstrated that ambient PM2.5 exposure was associated with an increased risk of PTB in women who conceived through ART treatment (12), which was consistent with our results. Furthermore, we also found that PM10 exposure during multiple periods was linked to increased risks of PTB occurrence among the subjects. In line with a study in Xuzhou, China, prenatal exposure to ambient PM10 was significantly associated with PTB risk (31). Consistent with a prior study in natural conception (8), our findings not only found significant associations during the specific trimesters and the entire pregnancy, they also showed that the pre-pregnancy periods such as 85 days before oocyte retrieval might be vital windows susceptible to the adverse effects of air pollution in IVF patients. Consistent with our study, a previous study indicated that air pollutants during follicular growth stage was significantly associated with adverse pregnancy outcomes, which provides evidence that air pollutants during the preantral-antral follicle transition stage could influence the quality of women gametes (20, 32). The possible reason might be that the follicle growth is a long process in women, which takes about 85 days for preantral follicles to develop into preovulatory follicles (33). Ambient air pollutants exposure during the follicle growth period could trigger PTBs by directly stimulating inflammation or oxidative stress, which then indirectly activates inflammatory cells (34). Maternal inflammation may alter placental vascular function (35). Moreover, particulate matter can reduce maternal vessel diameters, which may lead to reduced ovarian and uterine blood supply (36). Furthermore, exposure to air pollution may interfere with the delivery of oxygen and nutrients to the placental development during the early stages of pregnancy (37), as these stages represent the beginning of the IVF treatment course. It is plausible that these changes may lead to PTB through inadequate follicle growth or impaired nutrient exchange (38).
In this study, we also observed that ambient NO2 exposure was significantly associated with the increased risk of PTB in IVF patients during the 85 days before oocyte retrieval. In contrast to studies reporting increased odds of a low live birth rate or PTB for IVF outcomes with exposure to ambient PM2.5 (12, 39), limited estimates were available for the effects of NO2 on PTB in patients who underwent IVF. The main source of NO2 was derived from vehicle exhaust fumes, particularly in urban areas, and it is widely considered an indicator of traffic-related air pollution (40). Several studies performed in a natural conception population showed that exposure to NO2 during the pregnancy or before pregnancy increased the risk of PTB (40, 41), which was similar to our results. The possible mechanisms include oxidative stress, inflammatory reaction, endothelial dysfunction, and endocrine disruption, which may be primary factors of interest to help determine whether these effects could be responsible for PTB (14, 42). While some animal experiments and epidemiological studies have provided no means of distinguishing the NO2 effects from those of particulate matter pollutants, especially particles in traffic gaseous emission, as they might well act via the similar mechanisms (43). Compared to women who conceive naturally, those who conceived via ART treatment tended to have a higher inflammatory response, as the incidence of female infertility is related to underlying inflammation (14, 42). Furthermore, ART treatment may aggravate inflammation due to repeated ovarian stimulation and embryo transfer (44).
Maternal age plays a fundamental role in achieving successful reproduction and IVF outcomes, as it is inversely linked to oocyte yield and oocyte quality. In the current study, we found that women aged <35 years were more vulnerable to ambient PM2.5 than those who were aged ≥ 35 years. One of the possible explanations was that the higher amounts of follicles in young ovarian required more blood supply for nutrition and had more metabolic activity, which could increase the possibility of more air pollutants interacting with the ovarian tissue in young women (20). Lin et al. (45)observed that women aged ≥ 35 years had greater risks of PTB than nulliparous women aged 25–29 years. Specifically, as a woman's age increases, the likelihood of oocytes harboring chromosomal abnormalities and demonstrating cellular dysfunction increases, which results in a decrease in oocyte quality (46). Consequently, the effects of air pollutants exposure on PTB outcomes in IVF patients might be masked by adverse effects related to older reproductive aging. In addition, our results showed that those who underwent two embryos transferred had higher risk than those following single embryo transfer when exposure to ambient particulate matter. Previous studies demonstrated that though the practice of transferring multiple embryos increased the pregnancy rate, whereas the multiple-gestation pregnancies or multiple births enhanced the risks of obstetric complications, PTB and low birth weight (30, 47). Therefore, the adverse effects of transferring double embryos might increase the vulnerability of PTB when exposure to ambient air pollutants.
To our knowledge, this was one of few studies performed in China to investigate the association between time-varying exposure to ambient air pollutants and the risk of PTB in patients who underwent IVF. Firstly, it contributes to filling the knowledge gap of understanding the effects of ambient PM and NO2 exposure on PTB occurrence in IVF patients. Secondly, our study helped to identify the potential windows of greater vulnerability to air pollutants exposure, by performing analyses in discrete time not only including the traditional trimesters of pregnancy but also the pre-pregnancy time during the IVF cycle. We highlight that the period 85 days before oocyte retrieval should be given higher priority for immediate for intervention. Finally, our study included the first, fresh embryo(s) transfer cycle performed in our fertility center and adjusted for main confounders, which helped to provide more convincing results. In addition, our stratified analysis enhanced the understanding and emphasized the importance of female reproductive age and number of embryos transferred, these factors which might confound the associations between air pollutants exposure and PTB outcome.
Several limitations in this study should be considered. Firstly, we estimated the average level of ambient air pollutants in subjects' residential locations as a proxy for individual exposures, the measurement error in exposure tends to cause bias toward a null (48), which might underestimate the association. While, the results are not likely to be exaggerated. We also lacked information on the paternal exposure in the study, which might play a potential role in the embryo development in IVF treatment. Secondly, our study only explored the associations in patients who underwent fresh embryo transfer cycle, due to a lack of information about frozen–thawed embryo transfer. Thirdly, limited by data, the information regarding social-economic status, ambient ultrafine particles concentration, and indoor sources of pollution, such as type of heating or cooking fuel in participants' homes were not available; which might introduce potential additional confounders in our study. Finally, the sample size was relatively limited due to the scale of the center, and the findings should be interpreted with caution. Consequently, a prospective cohort study with a larger population should be performed to obtain more reliable results.
Conclusions
Our study suggested that ambient air pollutants, such as PM2.5, PM10, and NO2 exposure were significantly associated with an increased risk of PTB incidence in patients who underwent IVF in Hangzhou, China. This association was more pronounced in women <35 years of age and those who undergoing two embryos transferred. Furthermore, the specific effects of air pollutants exposure, particularly during the time windows from 85 days before oocyte retrieval, gonadotropin start to oocyte retrieval, first trimester of pregnancy, and the entire IVF pregnancy, exhibited significant association with PTB risk. Our study provided epidemiological evidence for adverse effects of air pollution on PTB risk in IVF patients. Future prospective studies are needed to explore the possible mechanisms of ambient air pollution on PTB outcome, and further confirm our findings.
Data Availability Statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics Statement
The studies involving human participants were reviewed and approved by the Medical Ethics Committee of the Hangzhou Women's Hospital. The Ethics Committee waived the requirement of written informed consent for participation.
Author Contributions
WS and CJ: study concept and design. WS, MJ, and XF: acquisition of data. WS, MJ, LK, and CJ: analysis and interpretation of data. WS: statistical analysis. WS and MJ: drafting of the manuscript. WS, LK, TZ, QY, ZW, SX, and CJ: edit and critical revision of the manuscript. XF and CJ: study supervision. All authors contributed to the article and approved the submitted version.
Funding
This study was supported by the Medical and Health Science and Technology Project of Zhejiang Province (No. 2020KY764).
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher's Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary Material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmed.2021.785600/full#supplementary-material
References
1. Liu B, Xu G, Sun Y, Du Y, Gao R, Snetselaar LG, et al. Association between maternal pre-pregnancy obesity and preterm birth according to maternal age and race or ethnicity: a population-based study. Lancet Diabetes Endocrinol. (2019) 7:707–14. doi: 10.1016/S2213-8587[19]30193-7
2. Malley CS, Kuylenstierna JC, Vallack HW, Henze DK, Blencowe H, Ashmore MR. Preterm birth associated with maternal fine particulate matter exposure: A global, regional and national assessment. Environ Int. (2017) 101:173–82. doi: 10.1016/j.envint.2017.01.023
3. Blencowe H, Cousens S, Oestergaard MZ, Chou D, Moller AB, Narwal R, et al. National, regional, and worldwide estimates of preterm birth rates in the year 2010 with time trends since 1990 for selected countries: a systematic analysis and implications. Lancet. (2012) 379:2162–72. doi: 10.1016/S0140-6736(12)60820-4
4. Kwinta P, Pietrzyk JJ. Preterm birth and respiratory disease in later life. Expert Rev Respir Med. (2010) 4:593–604. doi: 10.1586/ers.10.59
5. Sun B, Bertolet M, Brooks MM, Hubel CA, Lewis CE, Gunderson EP, et al. Life Course Changes in Cardiometabolic Risk Factors Associated With Preterm Delivery: The 30-Year CARDIA Study. J Am Heart Assoc. (2020) 9:e15900. doi: 10.1161/JAHA.119.015900
6. Skudder-Hill L, Ahlsson F, Lundgren M, Cutfield WS, Derraik J. Preterm birth is associated with increased blood pressure in young adult women. J Am Heart Assoc. (2019) 8:e12274. doi: 10.1161/JAHA.119.012274
7. Huang YT, Lin HY, Wang CH, Su BH, Lin CC. Association of preterm birth and small for gestational age with metabolic outcomes in children and adolescents: A population-based cohort study from Taiwan. Pediatr Neonatol. (2018) 59:147–53. doi: 10.1016/j.pedneo.2017.07.007
8. Chen J, Fang J, Zhang Y, Xu Z, Byun HM Li PH, et al. Associations of adverse pregnancy outcomes with high ambient air pollution exposure: Results from the Project ELEFANT. Sci Total Environ. (2021) 761:143218. doi: 10.1016/j.scitotenv.2020.143218
9. Li L, Zhang N, Wu X, Feng T, Zhao Z, Pang Y, et al. Exposure to air pollution is associated with congenital anomalies in the population born by in vitro fertilization. Environ Res. (2021). doi: 10.1016/j.envres.2021.112161. [Epub ahead of print].
10. Liang Z, Yang Y, Yi J, Qian Z, Zhang Z, McMillin SE, et al. Maternal PM2. 5 exposure associated with stillbirth: A large birth cohort study in seven Chinese cities. Int J Hyg Environ Health. (2021) 236:113795. doi: 10.1016/j.ijheh.2021.113795
11. Shah PS, Balkhair T. Air pollution and birth outcomes: a systematic review. Environ Int. (2011) 37:498–516. doi: 10.1016/j.envint.2010.10.009
12. Cai J, Zhao Y, Kan J, Chen R, Martin R, van Donkelaar A, et al. Prenatal Exposure to Specific PM2. 5 Chemical Constituents and Preterm Birth in China: A Nationwide Cohort Study. Environ Sci Technol. (2020) 54:14494–501. doi: 10.1021/acs.est.0c02373
13. Sun Z, Yang L, Bai X, Du W, Shen G, Fei J, et al. Maternal ambient air pollution exposure with spatial-temporal variations and preterm birth risk assessment during 2013-2017 in Zhejiang Province, China. Environ Int. (2019) 133:105242. doi: 10.1016/j.envint.2019.105242
14. Nachman RM, Mao G, Zhang X, Hong X, Chen Z, Soria CS, et al. Intrauterine inflammation and maternal exposure to ambient PM2. 5 during preconception and specific periods of pregnancy: the boston birth cohort. Environ Health Perspect. (2016) 124:1608–15. doi: 10.1289/EHP243
15. Zegers-Hochschild F, Adamson GD, de Mouzon J, Ishihara O, Mansour R, Nygren K, et al. The international committee for monitoring assisted reproductive technology (ICMART) and the World Health Organization (WHO) revised glossary on ART terminology, 2009. Hum Reprod. (2009) 24:2683–7. doi: 10.1093/humrep/dep343
16. Gaskins AJ, Fong KC, Abu AY Di Q, Minguez-Alarcon L, Chavarro JE, et al. Time-varying exposure to air pollution and outcomes of in vitro fertilization among couples from a fertility clinic. Environ Health Perspect. (2019) 127:77002. doi: 10.1289/EHP4601
17. Boulet SL, Zhou Y, Shriber J, Kissin DM, Strosnider H, Shin M. Ambient air pollution and in vitro fertilization treatment outcomes. Hum Reprod. (2019) 34:2036–43. doi: 10.1093/humrep/dez128
18. Dai W, Shi H, Bu Z, Yu Y, Sun Z, Hu L, et al. Ambient air pollutant exposure and in vitro fertilization treatment outcomes in Zhengzhou, China. Ecotoxicol Environ Saf. (2021) 214:112060. doi: 10.1016/j.ecoenv.2021.112060
19. Wu S, Zhang Y, Wu X, Hao G, Ren H, Qiu J, et al. Association between exposure to ambient air pollutants and the outcomes of in vitro fertilization treatment: A multicenter retrospective study. Environ Int. (2021) 153:106544. doi: 10.1016/j.envint.2021.106544
20. Li L, Zhou L, Feng T, Hao G, Yang S, Wang N, et al. Ambient air pollution exposed during preantral-antral follicle transition stage was sensitive to associate with clinical pregnancy for women receiving IVF. Environ Pollut. (2020) 265:114973. doi: 10.1016/j.envpol.2020.114973
21. Zeng X, Jin S, Chen X, Qiu Y. Association between ambient air pollution and pregnancy outcomes in patients undergoing in vitro fertilization in chengdu, china: a retrospective study. Environ Res. (2020) 184:109304. doi: 10.1016/j.envres.2020.109304
22. Wei J, Li Z, Xue W, Sun L, Fan T, Liu L, et al. The ChinaHighPM10 dataset: generation, validation, and spatiotemporal variations from 2015 to 2019 across China. Environ Int. (2021) 146:106290. doi: 10.1016/j.envint.2020.106290
23. Wei J, Li Z, Lyapustin A, Sun L, Peng Y, Xue W, et al. Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications. Remote Sens Environ. (2021) 252:112136. doi: 10.1016/j.rse.2020.112136
24. Wei J, Li Z, Cribb M, Huang W, Xue W, Sun L, et al. Improved 1 km resolution PM2. 5 estimates across China using enhanced space–time extremely randomized trees. Atmos Chem Phys. (2020) 20:3273–89. doi: 10.5194/acp-20-3273-2020
25. Zhang H, Dong H, Ren M, Liang Q, Shen X, Wang Q, et al. Ambient air pollution exposure and gestational diabetes mellitus in Guangzhou, China: A prospective cohort study. Sci Total Environ. (2020) 699:134390. doi: 10.1016/j.scitotenv.2019.134390
26. Padula AM, Yang W, Lurmann FW, Balmes J, Hammond SK, Shaw GM. Prenatal exposure to air pollution, maternal diabetes and preterm birth. Environ Res. (2019) 170:160–7. doi: 10.1016/j.envres.2018.12.031
27. Qiu J, Dong M, Zhou F, Li P, Kong L, Tan J. Associations between ambient air pollution and pregnancy rate in women who underwent in vitro fertilization in Shenyang, China. Reprod Toxicol. (2019) 89:130–5. doi: 10.1016/j.reprotox.2019.07.005
28. Wang YY Li Q, Guo Y, Zhou H, Wang X, Wang Q, et al. Association of long-term exposure to airborne particulate matter of 1 mum or less with preterm birth in China. JAMA Pediatr. (2018) 172:e174872. doi: 10.1001/jamapediatrics.2017.4872
29. Guo T, Wang Y, Zhang H, Zhang Y, Zhao J, Wang Q, et al. The association between ambient PM2. 5 exposure and the risk of preterm birth in China: A retrospective cohort study. Sci Total Environ. (2018) 633:1453–9. doi: 10.1016/j.scitotenv.2018.03.328
30. Sunderam S, Kissin DM, Zhang Y, Jewett A, Boulet SL, Warner L, et al. Assisted reproductive technology surveillance - United States, 2017. MMWR Surveill Summ. (2020) 69:1–20. doi: 10.15585/mmwr.ss6909a1
31. Li S, Peng L, Wu X, Xu G, Cheng P, Hao J, et al. Long-term impact of ambient air pollution on preterm birth in Xuzhou, China: a time series study. Environ Sci Pollut Res Int. (2021) 28:41039–50. doi: 10.1007/s11356-021-13621-2
32. Carre J, Gatimel N, Moreau J, Parinaud J, Leandri R. Does air pollution play a role in infertility? : a systematic review. Environ Health. (2017) 16:82. doi: 10.1186/s12940-017-0291-8
33. Oktem O, Urman B. Understanding follicle growth in vivo. Hum Reprod. (2010) 25:2944–54. doi: 10.1093/humrep/deq275
34. Vadillo-Ortega F, Osornio-Vargas A, Buxton MA, Sanchez BN, Rojas-Bracho L, Viveros-Alcaraz M, et al. Air pollution, inflammation and preterm birth: a potential mechanistic link. Med Hypotheses. (2014) 82:219–24. doi: 10.1016/j.mehy.2013.11.042
35. Backes CH, Nelin T, Gorr MW, Wold LE. Early life exposure to air pollution: how bad is it? Toxicol Lett. (2013) 216:47–53. doi: 10.1016/j.toxlet.2012.11.007
36. Veras MM, Damaceno-Rodrigues NR, Caldini EG, Maciel RA, Mayhew TM, Saldiva PH, et al. Particulate urban air pollution affects the functional morphology of mouse placenta. Biol Reprod. (2008) 79:578–84. doi: 10.1095/biolreprod.108.069591
37. Warren J, Fuentes M, Herring A, Langlois P. Spatial-temporal modeling of the association between air pollution exposure and preterm birth: identifying critical windows of exposure. Biometrics. (2012) 68:1157–67. doi: 10.1111/j.1541-0420.2012.01774.x
38. Veras MM, Guimaraes-Silva RM, Caldini EG, Saldiva PH, Dolhnikoff M, Mayhew TM. The effects of particulate ambient air pollution on the murine umbilical cord and its vessels: a quantitative morphological and immunohistochemical study. Reprod Toxicol. (2012) 34:598–606. doi: 10.1016/j.reprotox.2012.08.003
39. Legro RS, Sauer MV, Mottla GL, Richter KS Li X, Dodson WC, et al. Effect of air quality on assisted human reproduction. Hum Reprod. (2010) 25:1317–24. doi: 10.1093/humrep/deq021
40. Ji X, Meng X, Liu C, Chen R, Ge Y, Kan L, et al. Nitrogen dioxide air pollution and preterm birth in Shanghai, China. Environ Res. (2019) 169:79–85. doi: 10.1016/j.envres.2018.11.007
41. Zhao Q, Liang Z, Tao S, Zhu J, Du Y. Effects of air pollution on neonatal prematurity in Guangzhou of China: a time-series study. Environ Health. (2011) 10:2. doi: 10.1186/1476-069X-10-2
42. Damaceno-Rodrigues NR, Veras MM, Negri EM, Zanchi AC, Rhoden CR, Saldiva PH, et al. Effect of pre- and postnatal exposure to urban air pollution on myocardial lipid peroxidation levels in adult mice. Inhal Toxicol. (2009) 21:1129–37. doi: 10.3109/08958370902798430
43. Atkinson RW, Butland BK, Anderson HR, Maynard RL. Long-term concentrations of nitrogen dioxide and mortality: a meta-analysis of cohort studies. Epidemiology. (2018) 29:460–72. doi: 10.1097/EDE.0000000000000847
44. Stern JE, Luke B, Tobias M, Gopal D, Hornstein MD, Diop H. Adverse pregnancy and birth outcomes associated with underlying diagnosis with and without assisted reproductive technology treatment. Fertil Steril. (2015) 103:1438–45. doi: 10.1016/j.fertnstert.2015.02.027
45. Lin L, Lu C, Chen W, Li C, Guo VY. Parity and the risks of adverse birth outcomes: a retrospective study among Chinese. BMC Pregnancy Childbirth. (2021) 21:257. doi: 10.1186/s12884-021-03718-4
46. Vollenhoven B, Hunt S. Ovarian ageing and the impact on female fertility. F1000Res. (2018) 7:F1000 Faculty Rev-1835. doi: 10.12688/f1000research.16509.1
47. Boulet SL, Schieve LA, Nannini A, Ferre C, Devine O, Cohen B, et al. Perinatal outcomes of twin births conceived using assisted reproduction technology: a population-based study. Hum Reprod. (2008) 23:1941–8. doi: 10.1093/humrep/den169
Keywords: air pollution, preterm birth, assisted reproductive technology, PM2.5, nitrogen dioxide
Citation: Shi W, Jiang M, Kan L, Zhang T, Yu Q, Wu Z, Xue S, Fei X and Jin C (2021) Association Between Ambient Air Pollutants Exposure and Preterm Birth in Women Who Underwent in vitro Fertilization: A Retrospective Cohort Study From Hangzhou, China. Front. Med. 8:785600. doi: 10.3389/fmed.2021.785600
Received: 29 September 2021; Accepted: 16 November 2021;
Published: 13 December 2021.
Edited by:
Simone Garzon, Verona University Hospital, ItalyReviewed by:
Paulo Hilario Nascimento Saldiva, University of São Paulo, BrazilSridhar Goud, National Institutes of Health (NIH), United States
Copyright © 2021 Shi, Jiang, Kan, Zhang, Yu, Wu, Xue, Fei and Jin. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Changbo Jin, Y2hhbmdib2ppbiYjeDAwMDQwOzEyNi5jb20=; Xiaoyang Fei, ZmVpeHkxOTYyJiN4MDAwNDA7MTYzLmNvbQ==
†These authors have contributed equally to this work