1
|
Cao S, Wan Y, Li Y, Xu S, Xia W. Urinary polycyclic aromatic hydrocarbon metabolites in Chinese pregnant women: Concentrations, variability, predictors, and association with oxidative stress biomarkers. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 950:175121. [PMID: 39084365 DOI: 10.1016/j.scitotenv.2024.175121] [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: 05/25/2024] [Revised: 07/26/2024] [Accepted: 07/27/2024] [Indexed: 08/02/2024]
Abstract
Polycyclic aromatic hydrocarbons (PAHs) are a class of pervasive contaminants having adverse health effects. Urinary monohydroxylated PAHs (OH-PAHs) are commonly employed as biomarkers to estimate PAH exposure levels in humans. However, little is understood about the variability in OH-PAHs among pregnant women across trimesters and their relationship with oxidative stress biomarkers (OSBs). Based on a prospective birth cohort study conducted in Wuhan, China, we selected 644 women who donated (spot) urine samples across different trimesters and measured the urinary concentrations of eight OH-PAHs and three selected OSBs (8-OHG, 8-OHdG, and HNEMA) to explore the relationship between the OH-PAHs and OSBs. Pregnant women were found to be ubiquitously exposed to the PAHs, with detection rates of the OH-PAHs ranging from 86.3% to 100%. 2-Hydroxynaphthalene (2-OH-Nap) had the highest urinary concentrations among the OH-PAHs during the three trimesters (specific gravity-adjusted median values for the first, second, and third trimesters: 1.86, 2.39, and 2.20 ng/mL, respectively). However, low reproducibility of the OH-PAHs was observed across the three trimesters with intraclass correlation coefficients ranged between 0.02 and 0.22. Most urinary OH-PAHs had the highest concentrations at the first trimester and the lowest at the third trimester. Some OH-PAH concentrations were higher in pregnant women with lower educational level [2-hydroxyphenanthrene (2-OH-Phen) and 3-hydroxyphenanthrene (3-OH-Phen)], those who were overweight [2-OH-Nap, 2/3-hydroxyfluorene (2/3-OH-Fluo), 2-OH-Phen, and 4-hydroxyphenanthrene (4-OH-Phen)], those who were unemployed during pregnancy [1-hydroxynaphthalene, 1/9-hydroxyphenanthrene, and 4-OH-Phen], and the samples donated in summer (most OH-PAHs, except for 2-OH-Nap). In multivariable linear mixed-effects model analyses, every OH-PAH was found to be significantly associated with increased levels of the three OSBs. For example, each interquartile range-fold increase in 2/3-OH-Fluo concentration was associated with the largest increase in 8-OHdG (65.4%) and 8-OHG (49.1%), while each interquartile range-fold increase in 3-OH-Phen concentration was associated with the largest increase in HNEMA (76.3%). Weighted quantile sum regression models, which were used to examine the joint effect of OH-PAH mixture on the OSBs, revealed positive associations between the OH-PAH mixture exposure and the OSBs. Specifically, 2/3-OH-Fluo and 2-OH-Nap were the major contributors in the association with oxidative damage of nucleic acids (8-OHdG and 8-OHG), while hydroxyphenanthrenes and 1-hydroxypyrene were the major contributors in the association with oxidative damage of lipid (HNEMA). Further work is required to examine the potential mediating role of oxidative stress in the relationship of adverse health outcomes with elevated PAH exposure among pregnant women.
Collapse
Affiliation(s)
- Shuting Cao
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan 430030, Hubei, China
| | - Yanjian Wan
- Center for Public Health Laboratory Service, Institute of Environmental Health, Wuhan Centers for Disease Control & Prevention, Wuhan, Hubei 430024, PR China
| | - Yuanyuan Li
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan 430030, Hubei, China
| | - Shunqing Xu
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan 430030, Hubei, China
| | - Wei Xia
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan 430030, Hubei, China.
| |
Collapse
|
2
|
Harray A, Herrmann S, Papendorf H, Miller C, Vermeersch A, Smith T, Lucas M. Plastics in human diets: development and evaluation of the 24-h Dietary Recall - Plastic Exposure and the Dietary Plastics Score. Front Nutr 2024; 11:1443792. [PMID: 39360279 PMCID: PMC11444960 DOI: 10.3389/fnut.2024.1443792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2024] [Accepted: 08/22/2024] [Indexed: 10/04/2024] Open
Abstract
Background Humans are commonly exposed to plastic through their dietary intake and food consumption patterns. Plastic-associated chemicals (PAC), such as bisphenols and phthalates, are recognized as endocrine-disrupting and are associated with increased risk of cardiovascular disease and metabolic syndrome. However, accurate methods to assess dietary exposure to plastic products and PAC are inadequate, limiting interrogation of health impacts. Aim To develop a tool that captures complete dietary exposure to plastics and establish a diet quality score to measure adherence to a low plastic dietary pattern. Methods We developed the 24-h Dietary Recall - Plastic Exposure (24DR-PE) and administered it to healthy adults (n = 422). This computer-assisted, interviewer-administered tool systematically collects data on food volumes and types, packaging materials, storage, processing, cooking, and consumption methods to assess a food's exposure to plastic. Specifically, the 24DR-PE incorporates predefined criteria for identifying high-risk practices and food characteristics, such as individually packaged items or those microwaved in plastic, enabling the assignment of scores based on a theoretically derived Dietary Plastics Scoring Matrix. Conclusion The 24DR-PE is the first tool specifically designed to capture detailed data on dietary exposures to plastic products. The next step is to validate the score using laboratory results of urine samples we collected contemporaneous to the dietary information. Once validated, the tool has potential for widespread distribution making it valuable for population monitoring, intervention guidance, and future research investigating the interplay between plastics, diet, and human health.
Collapse
Affiliation(s)
- Amelia Harray
- Medical School, The University of Western Australia, Nedlands, WA, Australia
- Children’s Diabetes Centre, The Kids Research Institute Australia, Nedlands, WA, Australia
- School of Population Health, Curtin University, Bentley, WA, Australia
| | - Susan Herrmann
- Medical School, The University of Western Australia, Nedlands, WA, Australia
| | - Hannah Papendorf
- Medical School, The University of Western Australia, Nedlands, WA, Australia
| | - Claire Miller
- Medical School, The University of Western Australia, Nedlands, WA, Australia
| | - Andrea Vermeersch
- Medical School, The University of Western Australia, Nedlands, WA, Australia
| | - Tony Smith
- Medical School, The University of Western Australia, Nedlands, WA, Australia
| | - Michaela Lucas
- Medical School, The University of Western Australia, Nedlands, WA, Australia
- Department of Immunology, PathWest Laboratory Medicine, Nedlands, WA, Australia
- Department of Immunology, Sir Charles Gairdner Hospital, Nedlands, WA, Australia
- Department of Immunology, Perth Children’s Hospital, Nedlands, WA, Australia
| |
Collapse
|
3
|
Zhang X, Li Z. Assessing chronic gestational exposure to environmental chemicals in pregnant women: Advancing the co-PBK model. ENVIRONMENTAL RESEARCH 2024; 247:118160. [PMID: 38199464 DOI: 10.1016/j.envres.2024.118160] [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: 06/04/2023] [Revised: 12/07/2023] [Accepted: 01/07/2024] [Indexed: 01/12/2024]
Abstract
Vulnerable populations, such as pregnant women and their fetuses, confront potential health risks due to exposure to environmental toxic compounds. Computational methods have been popular in assessing chemical exposure to populations, contrasting with traditional cohort studies for human biomonitoring. This study proposes a screening-level approach based on physiologically based kinetic (PBK) modeling to evaluate the steady-state exposure of pregnant women to environmental chemicals throughout pregnancy. To exemplify the modeling application, naphthalene was chosen. Simulation results indicated that maternal fat exhibited significant bioaccumulation potential, with the log-transformed BTF of naphthalene at 0.51 mg kg-1 per mg d-1 in the steady state. The placenta was primarily exposed to 0.83 mg/d naphthalene for a 75.2 kg pregnant woman, considering all exposure routes. In the fetal structure, single-organ fetal PBK modeling estimated a naphthalene exposure of 123.64 mg/d to the entire fetus, while multiple-organ fetal PBK modeling further revealed the bioaccumulation highest in fat tissue. The liver identified as the vital organ for metabolism, kBioT,LiverM was demonstrated with the highest sensitivity among rate constants in the maternal body. Furthermore, the first-order kinetic rate constants related to the placenta and blood were found to impact the distribution process of naphthalene in the fetus, influencing gestational exposure. In conclusion, urgent attention is needed to develop a computational biomonitoring tool for assessing toxic chemical exposure in vulnerable populations.
Collapse
Affiliation(s)
- Xiaoyu Zhang
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Zijian Li
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, 518107, China.
| |
Collapse
|
4
|
Lv C, Li D, Zhang Z, Han Y, Li Y, Song H, Cheng Q, Yang S, Lu Y, Zhao F. Association between urinary polycyclic aromatic hydrocarbons and unexplained recurrent spontaneous abortion from a case-control study. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 272:116093. [PMID: 38364758 DOI: 10.1016/j.ecoenv.2024.116093] [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: 11/22/2023] [Revised: 02/05/2024] [Accepted: 02/07/2024] [Indexed: 02/18/2024]
Abstract
Polycyclic aromatic hydrocarbons (PAHs) have been reported to be associated with adverse pregnancy outcomes. However, there is limited knowledge regarding the effects of single or mixed PAHs exposure on unexplained recurrent spontaneous abortion (URSA). This study aimed to investigate the association between monohydroxylated polycyclic aromatic hydrocarbons (OH-PAHs) and URSA in a case-control study. The results showed that 1-NAP, 2-NAP, 9-FLU, and 1-PYR were detected in 100% of the subjects among measured all sixteen OH-PAHs. Compared with those in the lowest quartiles, participants in the highest quartiles of 3-BAA were associated with a higher risk of URSA (OR (95%CI) = 3.56(1.28-9.85)). With each one-unit increase of ln-transformed 3-BAA, the odds of URSA increased by 41% (OR (95%CI) = 1.41(1.05-1.89)). Other OH-PAHs showed negative or non-significant associations with URSA. Weighted quantile sum (WQS) regression, Bayesian kernel machine regression (BKMR), and quantile-based g-computation (qgcomp) analyses consistently identified 3-BAA as the major contributor to the mixture effect of OH-PAHs on URSA. Our findings suggest that exposure to 3-BAA may be a potential risk factor for URSA. However, further prospective studies are needed to validate our findings in the future.
Collapse
Affiliation(s)
- Chunxian Lv
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Dandan Li
- Fengtai District Center for Disease Control and Prevention, Beijing 100071, China
| | - Zheng Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Yingying Han
- Fengtai District Center for Disease Control and Prevention, Beijing 100071, China
| | - Yawei Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Haocan Song
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Qianxi Cheng
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Siyu Yang
- Institute of Public Health, Henan Provincial Center for Disease Control and Prevention, Zhengzhou, Henan 450016, China
| | - Yifu Lu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
| | - Feng Zhao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
| |
Collapse
|
5
|
Liu X, Na J, Liu X, Jia X, Ren M, Chen J, Han B, Xu J, Li N, Li Z, Wang B. Co-exposure to phthalates and polycyclic aromatic hydrocarbons and the risk of gestational hypertension in Chinese women. ENVIRONMENT INTERNATIONAL 2024; 185:108562. [PMID: 38460239 DOI: 10.1016/j.envint.2024.108562] [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: 12/25/2023] [Revised: 02/20/2024] [Accepted: 03/04/2024] [Indexed: 03/11/2024]
Abstract
Phthalates (PAEs) and polycyclic aromatic hydrocarbons (PAHs) are frequently detected in females of reproductive age. Many studies have found that environmental PAE and PAH levels are independent risk factors for gestational hypertension. However, exposure to both components is a more realistic scenario. To better assess the health effects of PAEs and PAHs in pregnant women, we explored the associations of exposure to both individual and combined PAEs and PAHs with gestational hypertension. This nested case-control study was a component of a prospective cohort study conducted in Beijing, China. We included 206 women with gestational hypertension and 214 pregnant controls. We used gas chromatography/tandem mass spectrometry (GC-MS/MS) to detect 8 PAEs and 13 PAHs in > 80 % of all collected hair samples. Multiple linear regression models were employed to test the individual associations between each component and gestational hypertension. A quantile-based g-computation (qgcomp) model and a weighted quantile sum (WQS) regression model were used to estimate whether exposure to both PAEs and PAHs increased the risk of gestational hypertension. The individual exposure analyses revealed that diethyl phthalate (DEP), diisobutyl phthalate (DIBP) (both PAEs), benzo(k)fluoranthene (BKF), anthracene, (ANT), and benzo(a)pyrene (BAP) (all PAHs) were positively associated with increased risk of gestational hypertension. In mixed-effect analyses, the qgcomp model indicated that co-exposure to PAEs and PAHs increased the risk of gestational hypertension (odds ratio = 2.01; 95 % confidence interval: 1.02, 3.94); this finding was verified by the WQS regression model. Our findings support earlier evidence that both PAEs and PAHs increase the risk of gestational hypertension, both individually and in combination. This suggests that reductions in exposure to endocrine system-disrupting chemicals such as PAEs and PAHs might reduce the risk of gestational hypertension.
Collapse
Affiliation(s)
- Xiaowen Liu
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, China
| | - Jigen Na
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, China; Vanke School of Public Health, Tsinghua University, Beijing 100084, China
| | - Xiaojing Liu
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, China
| | - Xiaoqian Jia
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, China
| | - Mengyuan Ren
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, China
| | - Junxi Chen
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, China
| | - Bin Han
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Jia Xu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
| | - Nan Li
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, China.
| | - Zhiwen Li
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, China
| | - Bin Wang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, China
| |
Collapse
|
6
|
Liao D, Xiong S, An S, Tao L, Dai L, Tian Y, Chen W, He C, Xu P, Wu N, Liu X, Zhang H, Hu Z, Deng M, Liu Y, Li Q, Shang X, Shen X, Zhou Y. Association of urinary polycyclic aromatic hydrocarbon metabolites with gestational diabetes mellitus and gestational hypertension among pregnant women in Southwest China: A cross-sectional study. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 343:123206. [PMID: 38145636 DOI: 10.1016/j.envpol.2023.123206] [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: 09/21/2023] [Revised: 12/19/2023] [Accepted: 12/20/2023] [Indexed: 12/27/2023]
Abstract
The association of polycyclic aromatic hydrocarbons (PAHs) with gestational diabetes mellitus (GDM) and gestational hypertension during pregnancy has not yet been established. To investigate the association between PAH exposure and GDM and gestational hypertension, we conducted a cross-sectional study of 4206 pregnant women from the Zunyi birth cohort in southwestern China. Gas chromatography/mass spectrometry was used to detect the urinary levels of 10 monohydroxylated PAHs (OH-PAHs). GDM and gestational hypertension were diagnosed and the relevant information was documented by specialist obstetricians and gynecologists. Logistic regression and restricted cubic spline regression were employed to investigate their single and nonlinear associations. Stratified analyses of pregnancy and body mass index data were conducted to determine their moderating effects on the abovementioned associations. Compared with the first quartile of urinary ∑OH-PAHs, the third or fourth quartile in all study participants was associated with an increased risk of GDM (quartile 3: odds ratio [OR] = 1.35, 95% confidence interval [CI]: 1.03-1.77) and gestational hypertension (quartile 3: OR = 1.88, 95% CI: 1.26-2.81; quartile 4: OR = 1.58, 95% CI: 1.04-2.39), respectively. Nonlinear associations of 1-OH-PYR with GDM (cutoff level: 0.02 μg/g creatinine [Cr]) and 1-OH-PHE with gestational hypertension (cutoff level: 0.06 μg/g Cr) were also observed. In pregnant women with overweight or obesity, 1-OH-PHE and 3-OH-PHE were more strongly associated with gestational hypertension. Our results indicate that exposure to PAH during pregnancy may significantly increase the maternal risks of GDM and gestational hypertension; however, this finding still needs to be confirmed through larger-scale prospective studies and biological evidence.
Collapse
Affiliation(s)
- Dengqing Liao
- School of Public Health, Zunyi Medical University, Zunyi, 563000, China; Key Laboratory of Maternal & Child Health and Exposure Science of Guizhou Higher Education Institutes, China
| | - Shimin Xiong
- School of Public Health, Zunyi Medical University, Zunyi, 563000, China; Key Laboratory of Maternal & Child Health and Exposure Science of Guizhou Higher Education Institutes, China
| | - Songlin An
- School of Public Health, Zunyi Medical University, Zunyi, 563000, China; Key Laboratory of Maternal & Child Health and Exposure Science of Guizhou Higher Education Institutes, China
| | - Lin Tao
- School of Public Health, Zunyi Medical University, Zunyi, 563000, China; Key Laboratory of Maternal & Child Health and Exposure Science of Guizhou Higher Education Institutes, China
| | - Lulu Dai
- School of Public Health, Zunyi Medical University, Zunyi, 563000, China; Key Laboratory of Maternal & Child Health and Exposure Science of Guizhou Higher Education Institutes, China
| | - Yingkuan Tian
- Medical Department, Xingyi People's Hospital, Xingyi, 562400, China
| | - Wei Chen
- School of Public Health, Zunyi Medical University, Zunyi, 563000, China; Key Laboratory of Maternal & Child Health and Exposure Science of Guizhou Higher Education Institutes, China
| | - Caidie He
- School of Public Health, Zunyi Medical University, Zunyi, 563000, China; Key Laboratory of Maternal & Child Health and Exposure Science of Guizhou Higher Education Institutes, China
| | - Pei Xu
- School of Public Health, Zunyi Medical University, Zunyi, 563000, China; Key Laboratory of Maternal & Child Health and Exposure Science of Guizhou Higher Education Institutes, China
| | - Nian Wu
- School of Public Health, Zunyi Medical University, Zunyi, 563000, China; Key Laboratory of Maternal & Child Health and Exposure Science of Guizhou Higher Education Institutes, China
| | - Xiang Liu
- School of Public Health, Zunyi Medical University, Zunyi, 563000, China; Key Laboratory of Maternal & Child Health and Exposure Science of Guizhou Higher Education Institutes, China
| | - Haonan Zhang
- School of Public Health, Zunyi Medical University, Zunyi, 563000, China; Key Laboratory of Maternal & Child Health and Exposure Science of Guizhou Higher Education Institutes, China
| | - Zhongmei Hu
- School of Public Health, Zunyi Medical University, Zunyi, 563000, China; Key Laboratory of Maternal & Child Health and Exposure Science of Guizhou Higher Education Institutes, China; Reproductive Centre, Affiliated Hospital of Zunyi Medical University, Zunyi, 563000, China
| | - Mingyu Deng
- School of Public Health, Zunyi Medical University, Zunyi, 563000, China; Key Laboratory of Maternal & Child Health and Exposure Science of Guizhou Higher Education Institutes, China; Department of Obstetrics and Gynecology, Affiliated Hospital of Zunyi Medical University, Zunyi, 563000, China
| | - Yijun Liu
- School of Public Health, Zunyi Medical University, Zunyi, 563000, China; Key Laboratory of Maternal & Child Health and Exposure Science of Guizhou Higher Education Institutes, China
| | - Quan Li
- Department of Obstetrics and Gynecology, Affiliated Hospital of Zunyi Medical University, Zunyi, 563000, China
| | - Xuejun Shang
- Department of Andrology, School of Medicine, Jinling Hospital, Nanjing University, Nanjing, 210002, China
| | - Xubo Shen
- School of Public Health, Zunyi Medical University, Zunyi, 563000, China; Key Laboratory of Maternal & Child Health and Exposure Science of Guizhou Higher Education Institutes, China
| | - Yuanzhong Zhou
- School of Public Health, Zunyi Medical University, Zunyi, 563000, China; Key Laboratory of Maternal & Child Health and Exposure Science of Guizhou Higher Education Institutes, China.
| |
Collapse
|
7
|
Baker BH, Melough MM, Paquette AG, Barrett ES, Day DB, Kannan K, Hn Nguyen R, Bush NR, LeWinn KZ, Carroll KN, Swan SH, Zhao Q, Sathyanarayana S. Ultra-processed and fast food consumption, exposure to phthalates during pregnancy, and socioeconomic disparities in phthalate exposures. ENVIRONMENT INTERNATIONAL 2024; 183:108427. [PMID: 38194756 PMCID: PMC10834835 DOI: 10.1016/j.envint.2024.108427] [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: 09/18/2023] [Revised: 12/21/2023] [Accepted: 01/03/2024] [Indexed: 01/11/2024]
Abstract
BACKGROUND Consuming ultra-processed foods may increase exposure to phthalates, a group of endocrine disruptors prevalent in food contact materials. OBJECTIVES Investigate associations between ultra-processed food intake and urinary phthalates during pregnancy, and evaluate whether ultra-processed foods mediate socioeconomic disparities in phthalate exposures. METHODS In a socioeconomically diverse sample of 1031 pregnant women from the Conditions Affecting Neurocognitive Development and Learning in Early Childhood (CANDLE) Study in the urban South, the Block Food Frequency Questionnaire was administered and urinary phthalate metabolites were measured in the second trimester. Linear regressions modeled associations between phthalates and overall ultra-processed food consumption, individual ultra-processed foods, and exploratory factor analysis dietary patterns. Causal mediation analyses examined whether ultra-processed food intake mediates relationships between socioeconomic disparities and phthalate exposures. RESULTS Ultra-processed foods constituted 9.8-59.0 % (mean = 38.6 %) of participants' diets. 10 % higher dietary proportion of ultra-processed foods was associated with 13.1 % (95 %CI: 3.4 %-22.9 %) higher molar sum concentrations of di(2-ethylhexyl) phthalate metabolites (ΣDEHP). 10 % higher consumption of minimally-processed foods was associated with lower ΣDEHP (10.8 %: 3.4 %-22.9 %). Ultra- and minimally-processed food consumption were not associated with non-DEHP metabolites. Standard deviation higher consumptions of hamburger/cheeseburger, French fries, soda, and cake were associated with 10.5 % (4.2 %-17.1 %), 9.2 % (2.6 %-16.2 %), 7.4 % (1.4 %-13.6 %), and 6.0 % (0.0 %-12.4 %), respectively, higher ΣDEHP. Exploratory factor analysis corroborated positive associations of processed food with ΣDEHP, and uncovered a healthy dietary pattern associated with lower urinary ΣDEHP, mono(2-ethyl-5-hydroxyhexyl) (MEHHP), mono(2-ethyl-5-carboxypentyl) (MECPP), mono(2-carboxymethylhexyl) (MCMHP), and mono-isononyl (MINP) phthalates. Significant indirect effects indicated that lower income and education levels were associated with 1.9 % (0.2 %-4.2 %) and 1.4 % (0.1 %-3.3 %) higher ΣDEHP, respectively, mediated via increased ultra-processed food consumption. CONCLUSIONS Consumption of ultra-processed foods may increase exposure to phthalates. Policies to reduce dietary phthalate exposures from food packaging and processing are needed, as socioeconomic barriers can preclude dietary recommendations as a sole means to reduce phthalate exposures.
Collapse
Affiliation(s)
- Brennan H Baker
- University of Washington, Seattle, WA, USA; Seattle Children's Research Institute, Seattle, WA, USA.
| | | | - Alison G Paquette
- University of Washington, Seattle, WA, USA; Seattle Children's Research Institute, Seattle, WA, USA
| | | | - Drew B Day
- University of Washington, Seattle, WA, USA; Seattle Children's Research Institute, Seattle, WA, USA
| | | | | | - Nicole R Bush
- University of California San Francisco, San Francisco, CA, USA
| | - Kaja Z LeWinn
- University of California San Francisco, San Francisco, CA, USA
| | | | - Shanna H Swan
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Qi Zhao
- University of Tennessee Health Sciences Center, Memphis, TN, USA
| | - Sheela Sathyanarayana
- University of Washington, Seattle, WA, USA; Seattle Children's Research Institute, Seattle, WA, USA
| |
Collapse
|
8
|
Yang P, Xie J, Huang S, Li X, Deng L, Zhang J, Chen L, Wu N, Huang G, Zhou C, Xiao L, Shen X. "Cocktail" of environmental chemicals and early reproductive outcomes of IVF: The insight from paternal and maternal exposure. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 348:119462. [PMID: 37925986 DOI: 10.1016/j.jenvman.2023.119462] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Revised: 10/09/2023] [Accepted: 10/21/2023] [Indexed: 11/07/2023]
Abstract
BACKGROUND Humans are exposed to various chemicals, including organophosphate esters (OPEs), phthalates (PAEs), and phenols. The effects on early reproductive outcomes of in vitro fertilization (IVF) remain unclear. METHODS We recruited 192 women and 157 men who underwent IVF treatment. A total of forty-nine urinary chemicals were detected, including six OPEs, fifteen PAEs, six parabens, two chlorophenols, nine bisphenols, five benzophenones, and six synthetic phenolic antioxidants. We examined the individual and joint effects of parental chemical exposure on early reproductive outcomes. RESULTS We found that certain chemicals were associated with early reproductive outcomes in Poisson regression models. For example, urinary diphenyl phosphate was negatively associated with high-quality embryos in both female (β: -0.12, 95%CI: -0.17, -0.07) and male partners (β: -0.09, 95%CI: -0.15, -0.03). A negative association was found between mixed chemicals and high-quality embryos in Bayesian kernel machine regression, weighted quantile sum regression (β: -0.34, 95%CI: -0.60, -0.07), and quantile-based g-computation model (β: -0.69, 95%CI: -1.34, -0.05) among female partners. Paternal mixture exposure was not associated with early reproductive outcomes. CONCLUSIONS Our results indicated that increased exposure to environmental chemicals was associated with adverse early reproductive outcomes of IVF, especially female partners.
Collapse
Affiliation(s)
- Pan Yang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, 510632, China; Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou, 510632, China
| | - Jinying Xie
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Songyi Huang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Xiaojie Li
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Langjing Deng
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Jinglei Zhang
- Reproductive Medicine Center, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, China
| | - Lin Chen
- Reproductive Medicine Center, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, China
| | - Nanxin Wu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Guangtong Huang
- School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Canquan Zhou
- Reproductive Medicine Center, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, China.
| | - Li Xiao
- Department of Neurology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510630, China.
| | - Xiaoting Shen
- Reproductive Medicine Center, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, China.
| |
Collapse
|
9
|
Dai M, Luo L, Xie C, Chen Z, Zhang M, Xie Y, Shang X, Shen X, Tian K, Zhou Y. Single and Joint Associations of Polycyclic Aromatic Hydrocarbon Exposure with Liver Function during Early Pregnancy. TOXICS 2023; 11:863. [PMID: 37888713 PMCID: PMC10610734 DOI: 10.3390/toxics11100863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 10/09/2023] [Accepted: 10/12/2023] [Indexed: 10/28/2023]
Abstract
The individual and combined associations of polycyclic aromatic hydrocarbons (PAHs) metabolites on liver function during pregnancy are still lacking. We aimed to explore the connection between urinary PAH metabolites and liver function in early pregnant women in southwest China based on the Zunyi birth cohort. Ten urinary PAH metabolites and five liver function parameters during early pregnancy were measured. The associations of single PAHs with parameters of liver function were assessed using multiple linear regression. A Bayesian kernel machine regression (BKMR) model was used to evaluate the joint associations of the PAH mixture with outcomes. We found that each 1% increment of urinary 2-hydroxyphenanthrene (2-OH-PHE) was associated with 3.36% (95% CI: 0.40%, 6.40%) higher alanine aminotransferase (ALT) and 2.22% (95% CI: 0.80%, 3.67%) higher aspartate aminotransferase (AST). Each 1% increment in 1-hydroxy-phenanthrene (1-OH-PHE) was significantly associated with 7.04% (95% CI: 1.61%, 12.75%) increased total bile acid (TBA). Additionally, there was a significant positive linear trend between 2-OH-PHE and AST and 1-OH-PHE and TBA. BKMR also showed a significant positive association of PAH mixture with AST. Our results indicate that PAH metabolites were associated with increased parameters of liver function among early pregnant women. Early pregnant women should pay more attention to the adverse relationships between PAHs and liver function parameters to prevent environment-related adverse perinatal outcomes.
Collapse
Affiliation(s)
- Mi Dai
- The Third Affiliated Hospital, Zunyi Medical University, Zunyi 563000, China
| | - Lei Luo
- School of Public Health, Zunyi Medical University, Zunyi 563000, China
- Key Laboratory of Maternal & Child Health and Exposure Science, Guizhou Higher Education Institutes, School of Public Health, Zunyi Medical University, Zunyi 563000, China
| | - Caiyan Xie
- School of Public Health, Zunyi Medical University, Zunyi 563000, China
- Key Laboratory of Maternal & Child Health and Exposure Science, Guizhou Higher Education Institutes, School of Public Health, Zunyi Medical University, Zunyi 563000, China
| | - Zhongbao Chen
- Renhuai Center for Disease Control and Prevention, Zunyi 563000, China
| | - Mingzhe Zhang
- Reproductive Center, Affiliated Hospital of Zunyi Medical University, Zunyi 563000, China
| | - Yan Xie
- School of Public Health, Zunyi Medical University, Zunyi 563000, China
- Key Laboratory of Maternal & Child Health and Exposure Science, Guizhou Higher Education Institutes, School of Public Health, Zunyi Medical University, Zunyi 563000, China
| | - Xuejun Shang
- Department of Andrology, School of Medicine, Jinling Hospital, Nanjing University, Nanjing 210002, China
| | - Xubo Shen
- School of Public Health, Zunyi Medical University, Zunyi 563000, China
- Key Laboratory of Maternal & Child Health and Exposure Science, Guizhou Higher Education Institutes, School of Public Health, Zunyi Medical University, Zunyi 563000, China
| | - Kunming Tian
- School of Public Health, Zunyi Medical University, Zunyi 563000, China
- Key Laboratory of Maternal & Child Health and Exposure Science, Guizhou Higher Education Institutes, School of Public Health, Zunyi Medical University, Zunyi 563000, China
| | - Yuanzhong Zhou
- School of Public Health, Zunyi Medical University, Zunyi 563000, China
- Key Laboratory of Maternal & Child Health and Exposure Science, Guizhou Higher Education Institutes, School of Public Health, Zunyi Medical University, Zunyi 563000, China
| |
Collapse
|
10
|
Li W, Huang G, Tang N, Lu P, Jiang L, Lv J, Qin Y, Lin Y, Xu F, Lei D. Association between co-exposure to phenols, phthalates, and polycyclic aromatic hydrocarbons with the risk of frailty. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:105181-105193. [PMID: 37713077 DOI: 10.1007/s11356-023-29887-7] [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: 06/23/2023] [Accepted: 09/11/2023] [Indexed: 09/16/2023]
Abstract
The phenomenon of population aging has brought forth the challenge of frailty. Nevertheless, the contribution of environmental exposure to frailty remains ambiguous. Our objective was to investigate the association between phenols, phthalates (PAEs), and polycyclic aromatic hydrocarbons (PAHs) with frailty. We constructed a 48-item frailty index using data from the National Health and Nutrition Examination Survey (NHANES). The exposure levels of 20 organic contaminants were obtained from the survey circle between 2005 and 2016. The association between individual organic contaminants and the frailty index was assessed using negative binomial regression models. The combined effect of organic contaminants was examined using weighted quantile sum (WQS) regression. Dose-response patterns were modeled using generalized additive models (GAMs). Additionally, an interpretable machine learning approach was employed to develop a predictive model for the frailty index. A total of 1566 participants were included in the analysis. Positive associations were observed between exposure to MIB, P02, ECP, MBP, MHH, MOH, MZP, MC1, and P01 with the frailty index. WQS regression analysis revealed a significant increase in the frailty index with higher levels of the mixture of organic contaminants (aOR, 1.12; 95% CI, 1.05-1.20; p < 0.001), with MIB, ECP, COP, MBP, P02, and P01 identified as the major contributors. Dose-response relationships were observed between MIB, ECP, MBP, P02, and P01 exposure with an increased risk of frailty (both with p < 0.05). The developed predictive model based on organic contaminants exposure demonstrated high performance, with an R2 of 0.9634 and 0.9611 in the training and testing sets, respectively. Furthermore, the predictive model suggested potential synergistic effects in the MIB-MBP and P01-P02 pairs. Taken together, these findings suggest a significant association between exposure to phthalates and PAHs with an increased susceptibility to frailty.
Collapse
Affiliation(s)
- Wenxiang Li
- Department of Ophthalmology, the People's Hospital of Guangxi Zhuang Autonomous Region & Guangxi Key Laboratory of Eye Health & Guangxi Health Commission Key Laboratory of Ophthalmology and Related Systemic Diseases Artificial Intelligence Screening Technology & Institute of Ophthalmic Diseases, Guangxi Academy of Medical Sciences, Nanning, 530021, People's Republic of China
| | - Guangyi Huang
- Department of Ophthalmology, the People's Hospital of Guangxi Zhuang Autonomous Region & Guangxi Key Laboratory of Eye Health & Guangxi Health Commission Key Laboratory of Ophthalmology and Related Systemic Diseases Artificial Intelligence Screening Technology & Institute of Ophthalmic Diseases, Guangxi Academy of Medical Sciences, Nanning, 530021, People's Republic of China
| | - Ningning Tang
- Department of Ophthalmology, the People's Hospital of Guangxi Zhuang Autonomous Region & Guangxi Key Laboratory of Eye Health & Guangxi Health Commission Key Laboratory of Ophthalmology and Related Systemic Diseases Artificial Intelligence Screening Technology & Institute of Ophthalmic Diseases, Guangxi Academy of Medical Sciences, Nanning, 530021, People's Republic of China
| | - Peng Lu
- Department of Ophthalmology, the People's Hospital of Guangxi Zhuang Autonomous Region & Guangxi Key Laboratory of Eye Health & Guangxi Health Commission Key Laboratory of Ophthalmology and Related Systemic Diseases Artificial Intelligence Screening Technology & Institute of Ophthalmic Diseases, Guangxi Academy of Medical Sciences, Nanning, 530021, People's Republic of China
| | - Li Jiang
- Department of Ophthalmology, the People's Hospital of Guangxi Zhuang Autonomous Region & Guangxi Key Laboratory of Eye Health & Guangxi Health Commission Key Laboratory of Ophthalmology and Related Systemic Diseases Artificial Intelligence Screening Technology & Institute of Ophthalmic Diseases, Guangxi Academy of Medical Sciences, Nanning, 530021, People's Republic of China
| | - Jian Lv
- Department of Ophthalmology, the People's Hospital of Guangxi Zhuang Autonomous Region & Guangxi Key Laboratory of Eye Health & Guangxi Health Commission Key Laboratory of Ophthalmology and Related Systemic Diseases Artificial Intelligence Screening Technology & Institute of Ophthalmic Diseases, Guangxi Academy of Medical Sciences, Nanning, 530021, People's Republic of China
| | - Yuanjun Qin
- Department of Ophthalmology, the People's Hospital of Guangxi Zhuang Autonomous Region & Guangxi Key Laboratory of Eye Health & Guangxi Health Commission Key Laboratory of Ophthalmology and Related Systemic Diseases Artificial Intelligence Screening Technology & Institute of Ophthalmic Diseases, Guangxi Academy of Medical Sciences, Nanning, 530021, People's Republic of China
| | - Yunru Lin
- Department of Ophthalmology, the People's Hospital of Guangxi Zhuang Autonomous Region & Guangxi Key Laboratory of Eye Health & Guangxi Health Commission Key Laboratory of Ophthalmology and Related Systemic Diseases Artificial Intelligence Screening Technology & Institute of Ophthalmic Diseases, Guangxi Academy of Medical Sciences, Nanning, 530021, People's Republic of China
| | - Fan Xu
- Department of Ophthalmology, the People's Hospital of Guangxi Zhuang Autonomous Region & Guangxi Key Laboratory of Eye Health & Guangxi Health Commission Key Laboratory of Ophthalmology and Related Systemic Diseases Artificial Intelligence Screening Technology & Institute of Ophthalmic Diseases, Guangxi Academy of Medical Sciences, Nanning, 530021, People's Republic of China
| | - Daizai Lei
- Department of Ophthalmology, the People's Hospital of Guangxi Zhuang Autonomous Region & Guangxi Key Laboratory of Eye Health & Guangxi Health Commission Key Laboratory of Ophthalmology and Related Systemic Diseases Artificial Intelligence Screening Technology & Institute of Ophthalmic Diseases, Guangxi Academy of Medical Sciences, Nanning, 530021, People's Republic of China.
- Department of Ophthalmology, The People's Hospital of Guangxi Zhuang Autonomous Region, 6 Taoyuan Road, Qingxiu District, Nanning, 530000, China.
| |
Collapse
|
11
|
Yang Y, Wang T, Luo L, He Q, Guo F, Chen Z, Liu Y, Liu X, Xie Y, Shang X, Shen X, Zhou Y, Tian K. Co-Exposure of Polycyclic Aromatic Hydrocarbons and Phthalates with Blood Cell-Based Inflammation in Early Pregnant Women. TOXICS 2023; 11:810. [PMID: 37888661 PMCID: PMC10611080 DOI: 10.3390/toxics11100810] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 09/20/2023] [Accepted: 09/22/2023] [Indexed: 10/28/2023]
Abstract
Cumulative evidence has demonstrated that exposure to polycyclic aromatic hydrocarbons (PAHs) or phthalates (PAEs) contributes to a variety of adverse health effects. However, the association of PAHs and PAEs co-exposure with blood cell-based inflammatory indicators during early pregnancy is still unclear. We aimed to investigate the single and mixed associations of exposure to PAHs and PAEs with blood cell-based inflammatory indicators among early pregnant women. A total of 318 early pregnant women were included in this study. General linear regressions were used to estimate the relationships of individual OH-PAHs and mPAEs with blood cell-based inflammatory indicators. The key pollutants were selected by an adapted least absolute shrinkage and selection operator (LASSO) penalized regression model and wasemployed to build the Bayesian kernel machine regression (BKMR) and quantile g-computation (Q-g) models, which can assess the joint association of OH-PAHs and mPAEs with blood cell-based inflammatory indicators. General linear regression indicated that each 1% increase in MOP was associated with a 4.92% (95% CI: 2.12%, 7.68%), 3.25% (95% CI: 0.50%, 6.18%), 5.87% (95% CI: 2.22%, 9.64%), and 6.50% (95% CI: 3.46%, 9.64%) increase in WBC, lymphocytes, neutrophils, and monocytes, respectively. BKMR and Q-g analysis showed that the mixture of OH-PAHs and mPAEs was linked with increased levels of white blood cells (WBC), neutrophils, monocytes, and lymphocytes, and MOP was identified as the dominant contributor. OH-PAHs and mPAEs co-exposure in early pregnancy was associated with elevated blood cell-based inflammatory indicators reactions. More attention should be paid to the inflammation induced by environmental pollution for perinatal women, especially early pregnant women.
Collapse
Affiliation(s)
- Yunxiao Yang
- School of Nursing, Zunyi Medical University, Zunyi 563000, China;
- School of Public Health, Zunyi Medical University, Zunyi 563000, China;
| | - Ting Wang
- School of Health Policy and Management, Nanjing Medical University, Nanjing 210000, China;
| | - Lei Luo
- School of Public Health, Zunyi Medical University, Zunyi 563000, China;
| | - Qian He
- Department of Obstetrics and Gynecology, Affiliated Hospital of Zunyi Medical University, Zunyi 563000, China;
| | - Fangfei Guo
- School of Public Health, Guizhou Medical University, Guiyang 550000, China;
| | - Zhongbao Chen
- Renhuai Center for Disease Control and Prevention, Zunyi 563000, China;
| | - Yijun Liu
- School of Public Health, Zunyi Medical University, Zunyi 563000, China;
- Key Laboratory of Maternal & Child Health, Exposure Science of Guizhou Higher Education Institutes, Zunyi 563000, China; (Y.L.); (X.L.); (Y.X.); (X.S.)
| | - Xingyan Liu
- School of Public Health, Zunyi Medical University, Zunyi 563000, China;
- Key Laboratory of Maternal & Child Health, Exposure Science of Guizhou Higher Education Institutes, Zunyi 563000, China; (Y.L.); (X.L.); (Y.X.); (X.S.)
| | - Yan Xie
- School of Public Health, Zunyi Medical University, Zunyi 563000, China;
- Key Laboratory of Maternal & Child Health, Exposure Science of Guizhou Higher Education Institutes, Zunyi 563000, China; (Y.L.); (X.L.); (Y.X.); (X.S.)
| | - Xuejun Shang
- Department of Andrology, School of Medicine, Jinling Hospital, Nanjing University, Nanjing 210002, China;
| | - Xubo Shen
- School of Public Health, Zunyi Medical University, Zunyi 563000, China;
- Key Laboratory of Maternal & Child Health, Exposure Science of Guizhou Higher Education Institutes, Zunyi 563000, China; (Y.L.); (X.L.); (Y.X.); (X.S.)
| | - Yuanzhong Zhou
- School of Public Health, Zunyi Medical University, Zunyi 563000, China;
- Key Laboratory of Maternal & Child Health, Exposure Science of Guizhou Higher Education Institutes, Zunyi 563000, China; (Y.L.); (X.L.); (Y.X.); (X.S.)
| | - Kunming Tian
- School of Public Health, Zunyi Medical University, Zunyi 563000, China;
- Key Laboratory of Maternal & Child Health, Exposure Science of Guizhou Higher Education Institutes, Zunyi 563000, China; (Y.L.); (X.L.); (Y.X.); (X.S.)
| |
Collapse
|
12
|
Diop EHM, Ndiaye B, Sow A, Sambe FM, Sall M, Thiam MS. Polycyclic Aromatic Hydrocarbon (PAH) Contents of Four Species of Smoked Fish from Different Sites in Senegal. Int J Anal Chem 2023; 2023:2931615. [PMID: 37213796 PMCID: PMC10199795 DOI: 10.1155/2023/2931615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 03/27/2023] [Accepted: 04/27/2023] [Indexed: 05/23/2023] Open
Abstract
Polycyclic aromatic hydrocarbons (PAHs) are compounds resulting from any incomplete combustion process. These are pollutants that have proven toxicity due to their carcinogenic nature and can contaminate food during traditional smoking methods. Their highly toxic effect on human health requires monitoring of their levels in food products and the development of appropriate analytical methods for their determination. Thus, this study was conducted to assess the level of PAHs contamination of four (4) species of smoked fish (Arius heudelotii, Sardinella aurita, Ethmalosa fimbriata, and Sardinella maderensis) which were sampled in seventeen (17) localities in Senegal. The compounds targeted in this study were benzo(a)pyrene (B(a)P), benzo(a)anthracene (B(a)A), benzo(b)fluoranthene (B(b)F), and chrysene (Chr). The QuEChERS method was used for the extraction of PAHs, and their contents were quantified by gas chromatography (GC) coupled with mass spectroscopy (MS). The validation method was performed in accordance with the French standard NF V03-110 (2010). Satisfactory linearity (R2 > 0.999), LOD (0.05-0.09 μg/kg), LOQ (0.19-0.24 μg/kg), and precision (1.33-3.13%) of the four PAHs were obtained. The results of analysis in the 17 localities showed that all samples are contaminated by the four (4) PAHs with great variability of the contents between the different species and their origin. The B(a)P and ∑4PAHS contents in the samples ranged from 1.7 to 33 µg/kg and from 4.8 to 1082.3 µg/kg, respectively. Twelve (12) samples showed high levels of B(a)P, ranging from 2.2 to 33 µg/kg, thus exceeding the maximum authorized level (2 µg/kg). Fourteen (14) samples showed an overall ∑4PAHS content varying from 14.8 to 1082.3 µg/kg, which is above the maximum authorized limit (12 µg/kg). The principal component analysis showed that sardinella (Sardinella aurita and Sardinella maderensis) have very low levels of B(a)P, B(b)F, B(a)A, and Chr contents. However, high ∑4PAHS contents characterize smoked fish of the Kong species (Arius heudelotii), from Cap Skiring, Diogne, Boudody, and Diaobé, and of the Cobo species (Ethmalosa fimbriata) from Djiffer. Thus, based on the authorized limits for PAHs in smoked fish, it appears that smoked fish of the sardinella species are less carcinogenic for human consumption.
Collapse
Affiliation(s)
- El Hadji Moussa Diop
- Water, Energy, Environment and Industrial Processes Laboratory, Polytechnic School, Cheikh Anta Diop University, Dakar, Senegal
- School of Industrial and Biological Engineering, Dakar, Senegal
| | - Bou Ndiaye
- Water, Energy, Environment and Industrial Processes Laboratory, Polytechnic School, Cheikh Anta Diop University, Dakar, Senegal
- School of Industrial and Biological Engineering, Dakar, Senegal
- Center for Studies on Food Safety and Functional Molecules (CESAM-RESCIF), ESP-UCAD, Dakar, Senegal
| | - Alioune Sow
- Water, Energy, Environment and Industrial Processes Laboratory, Polytechnic School, Cheikh Anta Diop University, Dakar, Senegal
- Center for Studies on Food Safety and Functional Molecules (CESAM-RESCIF), ESP-UCAD, Dakar, Senegal
- Department of Agronomic Sciences, Aquaculture and Food Technologies, Gaston Berger University, Saint-Louis, Senegal
| | - Falilou Mbacké Sambe
- Water, Energy, Environment and Industrial Processes Laboratory, Polytechnic School, Cheikh Anta Diop University, Dakar, Senegal
| | - Mamadou Sall
- School of Industrial and Biological Engineering, Dakar, Senegal
| | | |
Collapse
|