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Fang L, Ma Y, Peng Y, Ni J, Ma C, Wang G, Zhao H, Chen Y, Zhang T, Cai G, Wei J, Xiang H, Pan F. Long-term effect of fine particulate matter constituents on reproductive hormones homeostasis in women attending assisted reproductive technologies: A population-based longitudinal study. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 284:116915. [PMID: 39178764 DOI: 10.1016/j.ecoenv.2024.116915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Revised: 08/09/2024] [Accepted: 08/20/2024] [Indexed: 08/26/2024]
Abstract
Fine particulate matter (PM2.5) may disrupt women's reproductive hormones, posing potential reproductive risks. However, the exact compositions of PM2.5 responsible for these effects remain unclear. Our investigation explored the long-term impacts of PM2.5 constituents on reproductive hormones, based on a large longitudinal assisted reproductive cohort study in Anhui, China. We included 24,396 reproductive hormone samples from 19,845 women attending assisted reproductive technologies (ART) between 2014 and 2020. Using high-resolution gridded data (1-km resolution), we calculated the residence-specified PM2.5 constituents during the year before the month of hormone testing. Relationships between PM2.5 constituents [organic matter (OM), chloride (Cl-), sulfate (SO42-), ammonium (NH4+), black carbon, and nitrate] and reproductive hormones were investigated using the linear mixed model with subject-specific intercepts. The constituent-proportion model and the constituent-residual model were also constructed. Additionally, cubic spline analysis was used to examine the potential non-linear exposure-response relationship. We found that per interquartile range (IQR) increment in OM was associated with a 5.31 % (3.74 %, 6.89 %) increase in estradiol, and per IQR increment in Cl- and NH4+ were associated with 13.56 % (7.63 %, 19.82 %) and 9.07 % (4.35 %, 14.01 %) increases in luteinizing hormone. Conversely, per IQR increment in OM and Cl- were associated with -7.27 % (-9.34 %, -5.16 %) and -8.52 % (-10.99 %, -5.98 %) decreases in progesterone, and per IQR increment in SO42- was associated with a -9.15 % (-10.31 %, -7.98 %) decrease in testosterone. These associations were held in both proportional and residual models. Moreover, exposure-response curves for estradiol and progesterone with PM2.5 constituents exhibited approximately U-shaped. These results suggested that specific PM2.5 constituents might disrupt reproductive hormone homeostasis in women attending ART, providing new evidence for formulating PM2.5 pollution reduction strategies that could benefit women's reproductive health.
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Affiliation(s)
- Lanlan Fang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Yubo Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Yongzhen Peng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Jianping Ni
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Cong Ma
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740, USA; Reproductive Medicine Center, Department of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei, Anhui 230022, China
| | - Guosheng Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Hui Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Yuting Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Tao Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Guoqi Cai
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740, USA.
| | - Huifen Xiang
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei, Anhui 230022, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, No. 81 Meishan Road, Hefei, Anhui 230032, China.
| | - Faming Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China.
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Zhang E, Zhang Z, Chen G, Zhang YT, Su S, Gao S, Xie S, Liu J, Zhang Y, Yue W, Wu Q, Chen Y, Yang BY, Guo Y, Liu R, Dong GH, Yin C. Associations of Ambient Particulate Matter with Maternal Thyroid Autoimmunity and Thyroid Function in Early Pregnancy. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:9082-9090. [PMID: 38743497 PMCID: PMC11137865 DOI: 10.1021/acs.est.3c10191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 05/02/2024] [Accepted: 05/02/2024] [Indexed: 05/16/2024]
Abstract
This prospective birth cohort study evaluated the association of exposure to PM2.5 (diameter ≤2.5 μm), PM1-2.5 (1-2.5 μm), and PM1 (≤1 μm) with maternal thyroid autoimmunity and function during early pregnancy. A total of 15,664 pregnant women were included at 6 to 13+6 gestation weeks in China from 2018 to 2020. Single-pollutant models using generalized linear models (GLMs) showed that each 10 μg/m3 increase in PM2.5 and PM1-2.5 was related with 6% (odds ratio [OR] = 1.06, 95% confidence interval [CI]: 1.01, 1.12) and 15% (OR = 1.15, 95% CI: 1.08, 1.22) increases in the risk of thyroid autoimmunity, respectively. The odds of thyroid autoimmunity significantly increased with each interquartile range increase in PM2.5 and PM1-2.5 exposure (P for trend <0.001). PM1 exposure was not significantly associated with thyroid autoimmunity. GLM with natural cubic splines demonstrated that increases in PM2.5 and PM1-2.5 exposure were associated with lower maternal FT4 levels, while a negative association between PM1 and FT4 levels was found when exposure exceeded 32.13 μg/m3. Only PM2.5 exposure was positively associated with thyrotropin (TSH) levels. Our findings suggest that high PM exposure is associated with maternal thyroid disruption during the early pregnancy.
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Affiliation(s)
- Enjie Zhang
- Department
of Central Laboratory, Beijing Obstetrics and Gynecology Hospital,
Capital Medical University, Beijing Maternal
and Child Health Care Hospital, Beijing 100026, China
| | - Zheng Zhang
- Department
of Central Laboratory, Beijing Obstetrics and Gynecology Hospital,
Capital Medical University, Beijing Maternal
and Child Health Care Hospital, Beijing 100026, China
| | - Gongbo Chen
- Climate,
Air Quality Research Unit, School of Public Health and Preventive
Medicine, Monash University, Melbourne VIC 3004, Australia
| | - Yun-Ting Zhang
- Guangdong
Provincial Engineering Technology Research Center of Environmental
and Health risk Assessment, Department of Occupational and Environmental
Health, School of Public Health, Sun Yat-sen
University, Guangzhou 510080, China
| | - Shaofei Su
- Department
of Central Laboratory, Beijing Obstetrics and Gynecology Hospital,
Capital Medical University, Beijing Maternal
and Child Health Care Hospital, Beijing 100026, China
| | - Shen Gao
- Department
of Central Laboratory, Beijing Obstetrics and Gynecology Hospital,
Capital Medical University, Beijing Maternal
and Child Health Care Hospital, Beijing 100026, China
| | - Shuanghua Xie
- Department
of Central Laboratory, Beijing Obstetrics and Gynecology Hospital,
Capital Medical University, Beijing Maternal
and Child Health Care Hospital, Beijing 100026, China
| | - Jianhui Liu
- Department
of Central Laboratory, Beijing Obstetrics and Gynecology Hospital,
Capital Medical University, Beijing Maternal
and Child Health Care Hospital, Beijing 100026, China
| | - Yue Zhang
- Department
of Research Management, Beijing Obstetrics and Gynecology Hospital,
Capital Medical University, Beijing Maternal
and Child Health Care Hospital, Beijing 100026, China
| | - Wentao Yue
- Department
of Research Management, Beijing Obstetrics and Gynecology Hospital,
Capital Medical University, Beijing Maternal
and Child Health Care Hospital, Beijing 100026, China
| | - Qingqing Wu
- Department
of Ultrasound, Beijing Obstetrics and Gynecology Hospital, Capital
Medical University, Beijing Maternal and
Child Health Care Hospital. Beijing 100026, China
| | - Yi Chen
- Department
of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital
Medical University, Beijing Maternal and
Child Health Care Hospital, Beijing 100026, China
| | - Bo-Yi Yang
- Guangdong
Provincial Engineering Technology Research Center of Environmental
and Health risk Assessment, Department of Occupational and Environmental
Health, School of Public Health, Sun Yat-sen
University, Guangzhou 510080, China
| | - Yuming Guo
- Department
of Epidemiology and Preventive Medicine, School of Public Health and
Preventive Medicine, Monash University, Melbourne VIC 3004, Australia
| | - Ruixia Liu
- Department
of Central Laboratory, Beijing Obstetrics and Gynecology Hospital,
Capital Medical University, Beijing Maternal
and Child Health Care Hospital, Beijing 100026, China
| | - Guang-Hui Dong
- Guangdong
Provincial Engineering Technology Research Center of Environmental
and Health risk Assessment, Department of Occupational and Environmental
Health, School of Public Health, Sun Yat-sen
University, Guangzhou 510080, China
| | - Chenghong Yin
- Department
of Central Laboratory, Beijing Obstetrics and Gynecology Hospital,
Capital Medical University, Beijing Maternal
and Child Health Care Hospital, Beijing 100026, China
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Gui Y, Zhao Y, Tao XG, Xu W, Yang Q, Wang Y, Zhu Q, Wang P, Wei Q, Shi H, Zhang Y. Cohort Profile: The Shanghai Maternal-Child Pairs Cohort (MCPC). Int J Epidemiol 2024; 53:dyad185. [PMID: 38154024 DOI: 10.1093/ije/dyad185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 12/20/2023] [Indexed: 12/30/2023] Open
Affiliation(s)
- Yuyan Gui
- Key Laboratory of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai, China
| | - Yingya Zhao
- Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai, China
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Xuguang Grant Tao
- Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Weiqing Xu
- Maternal and Child Healthcare Institute, Pudong District, Shanghai, China
| | - Qing Yang
- Maternal and Child Healthcare Hospital, Songjiang District, Shanghai, China
| | - Ying Wang
- Maternal and Child Healthcare Hospital, Songjiang District, Shanghai, China
| | - Qingqing Zhu
- Maternal and Child Healthcare Institute, Songjiang District, Shanghai, China
| | - Pengpeng Wang
- Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai, China
| | - Qian Wei
- Key Laboratory of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, Shanghai, China
| | - Huijing Shi
- Key Laboratory of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai, China
| | - Yunhui Zhang
- Key Laboratory of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai, China
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Liu J, Zhao K, Qian T, Li X, Yi W, Pan R, Huang Y, Ji Y, Su H. Association between ambient air pollution and thyroid hormones levels: A systematic review and meta-analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 904:166780. [PMID: 37660827 DOI: 10.1016/j.scitotenv.2023.166780] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 08/12/2023] [Accepted: 08/31/2023] [Indexed: 09/05/2023]
Abstract
BACKGROUND Growing studies have focused on the effects of ambient air pollution on thyroid hormones (THs), but the results were controversial. Therefore, a systematic review and meta-analysis was conducted by pooling current evidence on this association. METHODS Four databases were searched for studies examining the associations of particulate matter [diameter ≤10 μm (PM10) or ≤2.5 μm (PM2.5)] and gaseous [sulfur dioxide (SO2), nitrogen dioxide (NO2), ozone (O3), carbon monoxide (CO)] pollutants with THs levels. Random effects models were used to pool the changes in THs levels with increasing air pollutant concentrations. Subgroup analyses were constructed by region, design, sample size, pollutant concentrations, evaluated methods, and potential risk exposure windows. RESULTS A total of 14 studies covering 357,226 participants were included in this meta-analysis. The pooled results showed significant associations of exposure to PM2.5, PM10, NO2, SO2, and CO with decreases in free thyroxine (FT4) with percent changes (PC) ranging from -0.593 % to -3.925 %. PM2.5, NO2, and CO were negatively associated with levels of FT4/FT3 (PC: from -0.604 % to -2.975 %). In addition, results showed significant associations of PM2.5 with hypothyroxinemia and high thyroid-stimulating hormone (TSH). Subgroup analyses indicated that PM2.5 and NO2 were significantly associated with FT4 in studies of Chinese, and similar significant findings were found in studies of PM2.5 and FT4/FT3 in areas with higher concentrations of air pollutants and larger samples. PM2.5 exposure in the first trimester was found to be associated with lower FT4 levels in pregnant women. CONCLUSION Our findings suggest that exposure to air pollution is associated with changes in THs levels. Enhanced management of highly polluted areas, identification of harmful components and sources of PM, and protection from harmful exposures in early pregnancy may be of great public health importance for the population's thyroid function.
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Affiliation(s)
- Jintao Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Kefu Zhao
- Hefei Center for Disease Control and Prevention, Hefei, Anhui, China
| | - Tingting Qian
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Xuanxuan Li
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Weizhuo Yi
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Rubing Pan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Yuee Huang
- School of Public Health, Wannan Medical College, Wuhu, Anhui, China
| | - Yifu Ji
- Anhui Mental Health Center, Hefei, Anhui, China.
| | - Hong Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China.
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Sun Q, Chen Y, Ye F, Liu J, Liu D, Ao B, Hui Q, Zhang Q. Association of hypothyroidism during pregnancy with preconception and early pregnancy exposure to ambient particulate matter. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:88084-88094. [PMID: 37434057 PMCID: PMC10406672 DOI: 10.1007/s11356-023-28683-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Accepted: 07/04/2023] [Indexed: 07/13/2023]
Abstract
BACKGROUND Limited research has been conducted on the association between preconception exposure to ambient particulate matter (PM) and hypothyroidism. This study aimed to investigate the relationship between preconception PM exposure and hypothyroidism. METHODS A retrospective case-control study at China-Japan Friendship Hospital was performed. Fine particulate matter (PM2.5) and inhalable particulate matter (PM10) were obtained from the China High Air Pollution Dataset. Buffer analysis methods were used to calculate the exposure of pregnant women to PM in a circular area of 250, 500, and 750 m in diameter at preconception and in early pregnancy. Logistic regression models were used to assess the relationship between PM and hypothyroidism. Odd ratios (ORs) and 95% confidence intervals (CIs) were used to evaluate the effect of PM on the risk of hypothyroidism. RESULTS A total of 3,180 participants were studied, and they comprised 795 hypothyroid patients and 2,385 matched controls. The mean age was 31.01 years (standard deviation: 3.66) in the control group and 31.16 years (standard deviation: 3.71) in the case group. Logistic regression analysis showed that exposure to PM2.5 and PM10 in the 60-day period before the last menstrual period month (LMPM), 30-day period before the LMPM, and LMP, across all distance buffers, was associated with an increased risk of hypothyroidism (all P < 0.05). The most pronounced effect was observed during the LMPM, with PM2.5 (OR: 1.137, 95% CI: 1.096-1.180) and PM10 (OR: 1.098, 95% CI: 1.067-1.130) in the 250-m buffer. Subgroup analysis in the Changping District yielded consistent results with the main analysis. CONCLUSION Our study shows that preconception PM2.5 and PM10 exposure increases the risk of hypothyroidism during pregnancy.
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Affiliation(s)
- Qi Sun
- National Center for Respiratory Medicine; State Key Laboratory of Respiratory Health and Multimorbidity; National Clinical Research Center for Respiratory Diseases; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
| | - Yuanmei Chen
- National Center for Respiratory Medicine; State Key Laboratory of Respiratory Health and Multimorbidity; National Clinical Research Center for Respiratory Diseases; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
| | - Fang Ye
- National Center for Respiratory Medicine; State Key Laboratory of Respiratory Health and Multimorbidity; National Clinical Research Center for Respiratory Diseases; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
| | - Jing Liu
- National Center for Respiratory Medicine; State Key Laboratory of Respiratory Health and Multimorbidity; National Clinical Research Center for Respiratory Diseases; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
| | - Die Liu
- National Center for Respiratory Medicine; State Key Laboratory of Respiratory Health and Multimorbidity; National Clinical Research Center for Respiratory Diseases; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
| | - Bo Ao
- National Center for Respiratory Medicine; State Key Laboratory of Respiratory Health and Multimorbidity; National Clinical Research Center for Respiratory Diseases; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
| | - Qin Hui
- National Center for Respiratory Medicine; State Key Laboratory of Respiratory Health and Multimorbidity; National Clinical Research Center for Respiratory Diseases; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
| | - Qi Zhang
- National Center for Respiratory Medicine; State Key Laboratory of Respiratory Health and Multimorbidity; National Clinical Research Center for Respiratory Diseases; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences; Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China.
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6
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Nan N, Yan Z, Zhang Y, Chen R, Qin G, Sang N. Overview of PM 2.5 and health outcomes: Focusing on components, sources, and pollutant mixture co-exposure. CHEMOSPHERE 2023; 323:138181. [PMID: 36806809 DOI: 10.1016/j.chemosphere.2023.138181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 02/10/2023] [Accepted: 02/17/2023] [Indexed: 06/18/2023]
Abstract
PM2.5 varies in source and composition over time and space as a complicated mixture. Consequently, the health effects caused by PM2.5 varies significantly over time and generally exhibit significant regional variations. According to numerous studies, a notable relationship exists between PM2.5 and the occurrence of many diseases, such as respiratory, cardiovascular, and nervous system diseases, as well as cancer. Therefore, a comprehensive understanding of the effect of PM2.5 on human health is critical. The toxic effects of various PM2.5 components, as well as the overall toxicity of PM2.5 are discussed in this review to provide a foundation for precise PM2.5 emission control. Furthermore, this review summarizes the synergistic effect of PM2.5 and other pollutants, which can be used to draft effective policies.
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Affiliation(s)
- Nan Nan
- College of Environment and Resource, Shanxi University, Taiyuan, Shanxi, 030006, PR China
| | - Zhipeng Yan
- College of Environment and Resource, Shanxi University, Taiyuan, Shanxi, 030006, PR China
| | - Yaru Zhang
- College of Environment and Resource, Shanxi University, Taiyuan, Shanxi, 030006, PR China
| | - Rui Chen
- Beijing Key Laboratory of Occupational Safety and Health, Institute of Urban Safety and Environmental Science, Beijing Academy of Science and Technology, Beijing, 100054, PR China; Beijing City University, Beijing, 11418, PR China.
| | - Guohua Qin
- College of Environment and Resource, Shanxi University, Taiyuan, Shanxi, 030006, PR China.
| | - Nan Sang
- College of Environment and Resource, Shanxi University, Taiyuan, Shanxi, 030006, PR China
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Chiarello DI, Ustáriz J, Marín R, Carrasco-Wong I, Farías M, Giordano A, Gallardo FS, Illanes SE, Gutiérrez J. Cellular mechanisms linking to outdoor and indoor air pollution damage during pregnancy. Front Endocrinol (Lausanne) 2023; 14:1084986. [PMID: 36875486 PMCID: PMC9974835 DOI: 10.3389/fendo.2023.1084986] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 01/30/2023] [Indexed: 02/17/2023] Open
Abstract
Pregnancies are a critical window period for environmental influences over the mother and the offspring. There is a growing body of evidence associating indoor and outdoor air pollution exposure to adverse pregnancy outcomes such as preterm birth and hypertensive disorders of pregnancy. Particulate matter (PM) could trigger oxi-inflammation and could also reach the placenta leading to placental damage with fetal consequences. The combination of strategies such as risk assessment, advise about risks of environmental exposures to pregnant women, together with nutritional strategies and digital solutions to monitor air quality can be effective in mitigating the effects of air pollution during pregnancy.
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Affiliation(s)
- Delia I. Chiarello
- Cellular Signaling and Differentiation Laboratory (CSDL), School of Medical Technology, Faculty of Medicine and Science, Universidad San Sebastián, Santiago, Chile
| | - Javier Ustáriz
- Department of Chemical and Bioprocess Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Reinaldo Marín
- Center for Biophysics and Biochemistry (CBB), Venezuelan Institute for Scientific Research (IVIC), Caracas, Venezuela
| | - Ivo Carrasco-Wong
- Cellular Signaling and Differentiation Laboratory (CSDL), School of Medical Technology, Faculty of Medicine and Science, Universidad San Sebastián, Santiago, Chile
| | - Marcelo Farías
- Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Ady Giordano
- Inorganic Chemistry Department, Faculty of Chemistry and of Pharmacy, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Felipe S. Gallardo
- Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Sebastián E. Illanes
- Reproductive Biology Program, Center for Biomedical Research and Innovation (CiiB), Universidad de los Andes, Santiago, Chile
- IMPACT, Center of Interventional Medicine for Precision and Advanced Cellular Therapy, Santiago, Chile
- Department of Obstetrics and Gynecology, Faculty of Medicine, Universidad de los Andes, Santiago, Chile
| | - Jaime Gutiérrez
- Cellular Signaling and Differentiation Laboratory (CSDL), School of Medical Technology, Faculty of Medicine and Science, Universidad San Sebastián, Santiago, Chile
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