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Berríos-Rolón PJ, Cotto MC, Márquez F. Polycyclic Aromatic Hydrocarbons (PAHs) in Freshwater Systems: A Comprehensive Review of Sources, Distribution, and Ecotoxicological Impacts. TOXICS 2025; 13:321. [PMID: 40278637 PMCID: PMC12031217 DOI: 10.3390/toxics13040321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2025] [Revised: 04/06/2025] [Accepted: 04/14/2025] [Indexed: 04/26/2025]
Abstract
This comprehensive review offers new perspectives on the distribution, sources, and ecotoxicological impacts of polycyclic aromatic hydrocarbons (PAHs) in freshwater systems. Unlike previous reviews, this work integrates recent findings on PAH dynamics within environmental matrices and emphasizes spatiotemporal variability across geographic regions. It critically examines both anthropogenic and natural sources, as well as the physical, chemical, and biological mechanisms driving PAH transport and fate. Special attention is given to the ecotoxicological effects of PAHs on freshwater organisms, including bioaccumulation, endocrine disruption, and genotoxicity. Notably, this review identifies key knowledge gaps and proposes an interdisciplinary framework to assess ecological risk and guide effective monitoring and management strategies for the protection of freshwater ecosystems.
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Affiliation(s)
| | - María C. Cotto
- Nanomaterials Research Group, Department of Natural Sciences and Technology, Division of Natural Sciences, Technology and Environment, Universidad Ana G. Méndez-Gurabo Campus, Gurabo, PR 00778, USA;
| | - Francisco Márquez
- Nanomaterials Research Group, Department of Natural Sciences and Technology, Division of Natural Sciences, Technology and Environment, Universidad Ana G. Méndez-Gurabo Campus, Gurabo, PR 00778, USA;
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2
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Lu P, He R, Wu Y, Wu B, Li H, He C, Lin M, Wang M, Cai W, Shen X, Li G, Cao Z, An T. Urinary metabolic alterations associated with occupational exposure to metals and polycyclic aromatic hydrocarbons based on non-target metabolomics. JOURNAL OF HAZARDOUS MATERIALS 2025; 487:137158. [PMID: 39798303 DOI: 10.1016/j.jhazmat.2025.137158] [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: 10/09/2024] [Revised: 01/01/2025] [Accepted: 01/07/2025] [Indexed: 01/15/2025]
Abstract
Long-term occupational exposure to metals and organics have been reported to be under great health risks. However, limited data are available on the molecular mechanism between combined exposure to metals and polycyclic aromatic hydrocarbons (PAHs) and harmful health effects. In present work, non-target metabolomics study was conducted based on urine samples from nonferrous metal smelting workers (n = 207), surrounding residents (n = 180), and the control residents (n = 187) by using ultra-high-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UHPLC-QTOF-MS). Differential and correlation analyses among metabolic features indicate that total 22 differential metabolites in smelting workers were associated (p < 0.05) with metal and PAH exposure. Particularly, amino acid metabolism was strongly disturbed, and other metabolic pathways, including steroid hormone biosynthesis, citrate cycle, and pantothenate and coenzyme A (CoA) biosynthesis were also perturbed. Among them, steroid hormone biosynthesis was more affected by PAH exposure than metals, especially for hydroxyphenanthrene. These altered pathways were closely associated with oxidative stress, inflammation, and energy metabolism disorder. Additionally, our results indicate that endogenous metabolism in surrounding residents were also affected by nonferrous metal smelting activities to some extent. Our work provides valuable insights into molecular mechanisms of adverse health effects probably induced by combined exposure to metals and PAHs.
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Affiliation(s)
- Ping Lu
- School of Environment, Key Laboratory for Yellow River and Huai River Water Environment and Pollution Control, Ministry of Education, Henan Normal University, Xinxiang 453007, China; Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Key Laboratory of Environmental Catalysis and Health Risk Control, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China; Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Guangdong Basic Research Center of Excellence for Ecological Security and Green Development, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Rujian He
- Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Key Laboratory of Environmental Catalysis and Health Risk Control, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China; Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Guangdong Basic Research Center of Excellence for Ecological Security and Green Development, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Yingjun Wu
- Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Key Laboratory of Environmental Catalysis and Health Risk Control, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China; Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Guangdong Basic Research Center of Excellence for Ecological Security and Green Development, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Bizhi Wu
- Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Key Laboratory of Environmental Catalysis and Health Risk Control, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China; Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Guangdong Basic Research Center of Excellence for Ecological Security and Green Development, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Hailing Li
- Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Key Laboratory of Environmental Catalysis and Health Risk Control, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China; Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Guangdong Basic Research Center of Excellence for Ecological Security and Green Development, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Chang He
- Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Key Laboratory of Environmental Catalysis and Health Risk Control, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China; Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Guangdong Basic Research Center of Excellence for Ecological Security and Green Development, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Meiqing Lin
- Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Key Laboratory of Environmental Catalysis and Health Risk Control, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China; Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Guangdong Basic Research Center of Excellence for Ecological Security and Green Development, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Mengmeng Wang
- School of Environment, Key Laboratory for Yellow River and Huai River Water Environment and Pollution Control, Ministry of Education, Henan Normal University, Xinxiang 453007, China; Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Key Laboratory of Environmental Catalysis and Health Risk Control, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China; Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Guangdong Basic Research Center of Excellence for Ecological Security and Green Development, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Wenwen Cai
- School of Environment, Key Laboratory for Yellow River and Huai River Water Environment and Pollution Control, Ministry of Education, Henan Normal University, Xinxiang 453007, China
| | - Xiantao Shen
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health of the 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, Wuhan, Hubei 430030, China
| | - Guiying Li
- Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Key Laboratory of Environmental Catalysis and Health Risk Control, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China; Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Guangdong Basic Research Center of Excellence for Ecological Security and Green Development, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
| | - Zhiguo Cao
- School of Environment, Key Laboratory for Yellow River and Huai River Water Environment and Pollution Control, Ministry of Education, Henan Normal University, Xinxiang 453007, China.
| | - Taicheng An
- Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Key Laboratory of Environmental Catalysis and Health Risk Control, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou 510006, China; Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control, Guangdong Basic Research Center of Excellence for Ecological Security and Green Development, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China.
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Bao C, Luo J, Miao S. Association of urinary metabolites of polycyclic aromatic hydrocarbons with urinary incontinence in adults: A cross-sectional study. Heliyon 2025; 11:e42351. [PMID: 39991220 PMCID: PMC11847094 DOI: 10.1016/j.heliyon.2025.e42351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 12/23/2024] [Accepted: 01/28/2025] [Indexed: 02/25/2025] Open
Abstract
This study aims to investigate the association between polycyclic aromatic hydrocarbon (PAH) metabolites and urinary incontinence (UI) in the general adult population. This study analyzed six urinary PAH metabolites in the general adult population from the 2005-2016 National Health and Nutrition Examination Survey (NHANES). UI was distinguished into stress UI (SUI), urgency UI (UUI), mixed UI (MUI), and any UI by self-reported questionnaires. Multiple logistic regression, restricted cubic spline (RCS) regression, and quantile g-computation (QG-C) were applied to assess the association between PAHs (individual and mixture exposure) and the prevalence of UI. A total of 8,136 participants were included in our study. The participants had a median age of 45.9 years, and 48.7 % of individuals were female. Most ln-transformed PAHs were positively and linearly related to the prevalence of SUI and any UI in women (P < 0.05). Increasing prevalence of SUI was associated with the highest quantiles of 3-hydroxyfluorene (3-FLU) (OR = 1.72, 95%CI = 1.27-2.33, P for trend = 0.002), 2-hydroxyfluorene (2-FLU) (OR = 1.75, 95%CI = 1.29-2.38, P for trend = 0.008), and 1-hydroxypyrene (1-PYR) (OR = 1.44, 95%CI = 1.05-1.96, P for trend = 0.012) compared with the lowest quantiles in women. The mixture of urinary PAH metabolites was significantly associated with an increased prevalence of SUI (OR = 1.09, 95%CI: 1.01-1.19, P = 0.038) in women. Urinary 2-FLU had the greatest positive contribution to the overall effect, while 2-hydroxynapthalene (2-NAP) was the major negative contributor. Our study demonstrated that mixture exposure to PAHs is associated with the prevalence of SUI in adult women, which might be primarily driven by 2-FLU.
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Affiliation(s)
- ChunXiang Bao
- Department of Nursing, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
| | - Jie Luo
- Department of Nursing, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
| | - ShuYing Miao
- Department of Nursing, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
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Qu K, Shi M, Chen L, Liu Y, Yao X, Li X, Tan B, Xie S. Residual levels of dietary deltamethrin interfere with growth and intestinal health in Litopenaeus vannamei. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 288:117376. [PMID: 39612679 DOI: 10.1016/j.ecoenv.2024.117376] [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: 05/05/2024] [Revised: 10/24/2024] [Accepted: 11/18/2024] [Indexed: 12/01/2024]
Abstract
To date, few study explored the damage of chronic dietary exposure to the lipophilic pesticide deltamethrin (DM) in aquatic animals, and it remains unclear whether its toxicity and residue levels would be affected by dietary lipid levels. Therefore, the present study aimed to elucidate the interactions between dietary lipid levels and DM levels in the Pacific white shrimp, focusing on growth performance, antioxidant capacity, and intestinal microbiota. DM has excellent insecticidal activity and has been used worldwide. Previous research has shown that environmental DM poses toxicity risks to aquatic animals. Six different diets were formulated to feed shrimp for 6 weeks with two lipid levels (6.96 %, 10.88 %) and three DM levels (0.2 mg·kg-1, 1 mg·kg-1, 5 mg·kg-1), namely LF0.2, LF1, LF5, HF0.2, HF1, HF5, respectively. Each diet was assigned to three net cages with a total of 18 cages (40 shrimp per tank, average weight (0.382±0.001 g), of which 0.2 mg·kg-1, are grouped in environmental DM control groups. The growth of shrimp was reduced as the dietary DM levels increased. When shrimp were fed a diet containing a high dose of DM, a reduction in their antioxidant capacity was also observed. Enzyme activity and gene expression related to lipid metabolism in hepatopancreas and hemolymph indicated a significant interaction between dietary lipid levels and DM in the lipid metabolism of shrimp. The terms of detoxification-related genes (gst, sult, cyp1a1) were upregulated in shrimp fed the high-dose DM. Additionally, the presence of DM in the diet severely harmed the hepatopancreas and intestinal histological morphology. DM in the diet increased the susceptibility of shrimp to pathogens and induced intestine microbiota dysbiosis, disrupting the balance of inter-species interactions. DM was not detected in the muscle and hepatopancreas of the shrimp after six weeks of exposure. In conclusion, the presence of DM in feed reduced the growth performance and antioxidant capacity of shrimp, damaging intestinal health. DM was rapidly metabolized by shrimp.
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Affiliation(s)
- Kangyuan Qu
- College of Aquatic Sciences, Guangdong Ocean University, Zhanjiang 524088, China
| | - Menglin Shi
- College of Aquatic Sciences, Guangdong Ocean University, Zhanjiang 524088, China
| | - Liutong Chen
- College of Aquatic Sciences, Guangdong Ocean University, Zhanjiang 524088, China
| | - Yucheng Liu
- College of Aquatic Sciences, Guangdong Ocean University, Zhanjiang 524088, China
| | - Xinzhou Yao
- College of Aquatic Sciences, Guangdong Ocean University, Zhanjiang 524088, China
| | - Xiaoyue Li
- College of Aquatic Sciences, Guangdong Ocean University, Zhanjiang 524088, China
| | - Beiping Tan
- College of Aquatic Sciences, Guangdong Ocean University, Zhanjiang 524088, China; Guangdong Province Research Center for Accurate Nutrition and High-Efficiency Feeding of Aquatic Animals, Zhanjiang 524088, China; Key Laboratory of Aquatic Feed Science and Technology for Livestock and Poultry in Southern China, under the Ministry of Agriculture, Zhanjiang 524088, China
| | - Shiwei Xie
- College of Aquatic Sciences, Guangdong Ocean University, Zhanjiang 524088, China; Guangdong Province Research Center for Accurate Nutrition and High-Efficiency Feeding of Aquatic Animals, Zhanjiang 524088, China; Key Laboratory of Aquatic Feed Science and Technology for Livestock and Poultry in Southern China, under the Ministry of Agriculture, Zhanjiang 524088, China.
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Elmi A, Vannetti NI, Galligioni V, Govoni N, Aniballi C, Sánchez-Morgado JM, Bacci ML, Ventrella D. Comparison of hair steroid levels among Wistar rats exposed to different environmental enrichment settings. Vet World 2024; 17:2731-2735. [PMID: 39897377 PMCID: PMC11784058 DOI: 10.14202/vetworld.2024.2731-2735] [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: 07/04/2024] [Accepted: 11/12/2024] [Indexed: 02/04/2025] Open
Abstract
Background and Aim Environmental enrichment (EE) is a pivotal tool for creating ideal housing conditions that allow animals to fully display their ethograms. At the micro-environmental level, they should elicit cognitive and social responses and increase physical activities. Hair steroids may be among the best biomarkers to evaluate the effects of prolonged exposure to different enrichments because they are non-invasive and provide information regarding a longer period. This study aimed to compare the hair steroid profiles, specifically corticosterone, cortisol, and dehydroepiandrosterone (DHEA), of Wistar rats exposed to two different EE settings. Materials and Methods Twenty (n = 20) outbred Wistar rats were enrolled in this study. First hair collection (T0) was performed 3 days before weaning (at 28 days of life), and then Wistar rats were randomly divided into two equal groups with a sex ratio of 1:1: standard EE group, provided with one rat tunnel, and extra EE group, provided with an additional tunnel hanging from the top of the cage. Environmental conditions were 20°C-24°C, 45%-65% relative humidity, and a 12:12 dark/light cycle, with water and pelleted diet ad libitum. The rats were housed in ventilated cages with poplar bedding and nesting material. Hair was sampled again after 3 months (T1). Steroids were quantified using radioimmunoassay or enzyme-linked immunosorbent assay after methanol extraction. Results Cortisol was not quantifiable, while corticosterone and DHEA were. After 3 months of exposure (T1), no differences were noted between the experimental groups. On data categorization per sex, females showed higher levels of all steroids than males. In males, the extra EE group had higher corticosterone levels. Conclusion This study showed that corticosterone and DHEA are quantifiable in rats' hair, yet bigger datasets are needed to better understand the physiological levels of these hormones in such a matrix. Different enrichment settings induced differences between and within sex.
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Affiliation(s)
- Alberto Elmi
- Department of Veterinary Medical Sciences, Alma Mater Studiorum University of Bologna, Bologna, Italy
- Department of Veterinary Sciences, University of Pisa, Pisa, Italy
| | - Niccolò I. Vannetti
- Department of Veterinary Medical Sciences, Alma Mater Studiorum University of Bologna, Bologna, Italy
| | - Viola Galligioni
- Netherlands Institute for Neuroscience, KNAW, Amsterdam, the Netherlands
| | - Nadia Govoni
- Department of Veterinary Medical Sciences, Alma Mater Studiorum University of Bologna, Bologna, Italy
| | - Camilla Aniballi
- Department of Veterinary Medical Sciences, Alma Mater Studiorum University of Bologna, Bologna, Italy
| | | | - Maria L. Bacci
- Department of Veterinary Medical Sciences, Alma Mater Studiorum University of Bologna, Bologna, Italy
| | - Domenico Ventrella
- Department of Veterinary Medical Sciences, Alma Mater Studiorum University of Bologna, Bologna, Italy
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Ding Q, Hao T, Gao Y, Jiang S, Zhu Y, Huang Y, Liang Y. Associations of Co-Exposure to Polycyclic Aromatic Hydrocarbons and Heavy Metals with Sex Steroid Hormones among Children Aged 6-19 Years. Horm Res Paediatr 2024:1-11. [PMID: 39396497 DOI: 10.1159/000541875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2024] [Accepted: 10/01/2024] [Indexed: 10/15/2024] Open
Abstract
INTRODUCTION Polycyclic aromatic hydrocarbons (PAHs) and heavy metals (HMs) are endocrine-disrupting chemicals (EDCs) that may have a combined effect on sex hormone levels in children. This study investigated the correlations between co-exposure to PAHs and HMs and levels of sex steroid hormones in children. METHODS We employed the data from the National Health and Nutrition Examination Survey (NHANES) from 2013 to 2016, including 1,167 participants aged 6-19 years. Sex hormone indicators include testosterone (TT), estradiol (E2), sex hormone-binding globulin (SHBG), free androgen index (FAI), and the TT/E2 ratio. Weighted multivariate linear regression, weighted quantile sum (WQS) regression, and Bayesian kernel machine regression (BKMR) were used to analyze the associations between co-exposure to PAHs and HMs and sex steroid hormone levels. RESULTS Co-exposure to PAHs and HMs was associated with a 16.2% reduction (95% CI [-0.321, -0.004]) in SHBG level among prepubertal males and a 16% reduction (95% CI [-0.30, -0.03]) in E2 level among pubertal males by the WQS regression, and cadmium (Cd) and mercury (Hg) contributed the highest weight, respectively. In the Bayesian kernel machine regression (BKMR) model, co-exposure to PAHs and HMs was positively associated with TT/E2 in pubertal males and negatively correlated with FAI in pubertal females, and 1-hydroxypyrene (1-PYR) and Cd were the most important components, respectively. CONCLUSIONS Co-exposure to PAHs and HMs was associated with sex hormone levels in children. These findings highlight the necessity for preventing the effects of these chemicals on sex hormones.
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Affiliation(s)
- Qi Ding
- School of Public Health, Wannan Medical College, Wuhu, China
| | - Tingting Hao
- School of Public Health, Wannan Medical College, Wuhu, China
| | - Yuan Gao
- School of Public Health, Wannan Medical College, Wuhu, China
| | | | - Yu Zhu
- School of Public Health, Wannan Medical College, Wuhu, China
| | - Yue'e Huang
- School of Public Health, Wannan Medical College, Wuhu, China
| | - Yali Liang
- School of Public Health, Wannan Medical College, Wuhu, China
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Peng FJ, Palazzi P, Mezzache S, Adelin E, Bourokba N, Bastien P, Appenzeller BM. Cross-Sectional Examination of Thyroid Hormones and Environmental Exposure to Multiclass Pesticides in Women of Reproductive Age in China. ENVIRONMENTAL HEALTH PERSPECTIVES 2024; 132:107005. [PMID: 39422607 PMCID: PMC11488487 DOI: 10.1289/ehp14378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 09/05/2024] [Accepted: 09/27/2024] [Indexed: 10/19/2024]
Abstract
BACKGROUND Some pesticides have been shown to interfere with thyroid functions through changes in thyroid hormone (TH) levels. However, few human studies have explored associations between TH levels and environmental exposure to currently used pesticides, including neonicotinoids, phenylpyrazoles, phenoxy acids, and azoles. Moreover, such studies often measure biomarkers of exposure in urine or blood, and thus reveal only recent exposure. In contrast, hair has been demonstrated to be a suitable matrix for assessing chronic exposure to both persistent and nonpersistent organic pollutants. OBJECTIVES We investigated 54 biomarkers of pollutant exposure in relation to tetraiodothyronine (T4), 3,3',5-triiodothyronine (T3), 3,3',5'-triiodothyronine (rT3), and 3,3'-diiodothyronine (T2). METHODS In a cross-sectional study of 196 healthy Chinese women of reproductive age (25-45 years of age), concentrations of both pollutants and THs were analyzed in the first 12 cm (starting from the scalp) of the hair matrix, collected in 2016. Associations between pollutants and TH levels were explored using stability-enhanced least absolute shrinkage and selection operator (lasso) by regressing all exposures against each outcome of interest, adjusted for age, body mass index, and city. RESULTS Each TH was associated with the mixture of at least eight of the examined pesticides. We found associations of β -HCH, PCP, DMP, DETP, 3Me4NP, carbofuran, ClCF 3 CA , imidacloprid, 2,4-D, metolachlor, difenoconazole, and tebuconazole with THs. For example, a 2-standard deviation (SD) increase in log 10 -transformed hair DMP concentration was associated with lower hair T4 concentration [- 15.0 % (95% CI: - 26.1 , - 2.21 % )] and higher hair T3 concentration [8.16% (95% CI: 1.73, 15.0%)] in the adjusted unpenalized regression models. We also found associations of some pesticides with T3/T4, rT3/T4, and rT3/T3 molar ratios, including PCP, DMP, 2,4-D, metolachlor, difenoconazole, and tebuconazole. DISCUSSION Our results suggest that exposure to the low levels of pesticides examined here may disrupt thyroid homeostasis in humans. Further studies are needed to confirm our results and to evaluate the long-term consequences of these subtle interferences. https://doi.org/10.1289/EHP14378.
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Affiliation(s)
- Feng-Jiao Peng
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Paul Palazzi
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg
| | | | - Emilie Adelin
- L’Oréal Research and Innovation, Aulnay sous Bois, France
| | | | | | - Brice M.R. Appenzeller
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg
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Guo Z, Feng X, He G, Yang H, Zhong T, Xiao Y, Yu X. Using bioactive compounds to mitigate the formation of typical chemical contaminants generated during the thermal processing of different food matrices. Compr Rev Food Sci Food Saf 2024; 23:e13409. [PMID: 39137003 DOI: 10.1111/1541-4337.13409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Revised: 06/13/2024] [Accepted: 06/27/2024] [Indexed: 01/04/2025]
Abstract
With rising consumer awareness of health and wellness, the demand for enhanced food safety is rapidly increasing. The generation of chemical contaminants during the thermal processing of food materials, including polycyclic aromatic hydrocarbons, heterocyclic aromatic amines, and acrylamide happens every day in every kitchen all around the world. Unlike extraneous chemical contaminants (e.g., pesticides, herbicides, and chemical fertilizers), these endogenic chemical contaminants occur during the cooking process and cannot be removed before consumption. Therefore, much effort has been invested in searching for ways to reduce such thermally induced chemical contaminants. Recently, the addition of bioactive compounds has been found to be effective and promising. However, no systematic review of this practical science has been made yet. This review aims to summarize the latest applications of bioactive compounds for the control of chemical contaminants during food thermal processing. The underlying generation mechanisms and the toxic effects of these chemical contaminants are discussed in depth to reveal how and why they are suppressed by the addition of certain bioactive ingredients. Examples of specific bioactive compounds, such as phenolic compounds and organic acids, as well as their application scenarios, are outlined. In the end, outlooks and expectations for future development are provided based on a comprehensive summary and reflection of references.
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Affiliation(s)
- Zilong Guo
- Faculty of Medicine, Macau University of Science and Technology, Taipa, Macao, China
| | - Xiao Feng
- College of Food Science and Engineering/Collaborative Innovation Center for Modern Grain Circulation and Safety/Key Laboratory of Grains and Oils Quality Control and Processing, Nanjing University of Finance and Economics, Nanjing, China
| | - Guangyun He
- Institute of Quality Standard and Testing Technology for Agro-Products, Sichuan Academy of Agricultural Sciences, Chengdu, China
| | - Huanqi Yang
- Faculty of Medicine, Macau University of Science and Technology, Taipa, Macao, China
| | - Tian Zhong
- Faculty of Medicine, Macau University of Science and Technology, Taipa, Macao, China
| | - Ying Xiao
- Faculty of Medicine, Macau University of Science and Technology, Taipa, Macao, China
| | - Xi Yu
- Faculty of Medicine, Macau University of Science and Technology, Taipa, Macao, China
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Wada R, Peng FJ, Lin CA, Vermeulen R, Iglesias-González A, Palazzi P, Bodinier B, Streel S, Guillaume M, Vuckovic D, Dagnino S, Chiquet J, Appenzeller BMR, Chadeau-Hyam M. Hair-Derived Exposome Exploration of Cardiometabolic Health: Piloting a Bayesian Multitrait Variable Selection Approach. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:5383-5393. [PMID: 38478982 DOI: 10.1021/acs.est.3c08739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/27/2024]
Abstract
Cardiometabolic health is complex and characterized by an ensemble of correlated and/or co-occurring conditions including obesity, dyslipidemia, hypertension, and diabetes mellitus. It is affected by social, lifestyle, and environmental factors, which in-turn exhibit complex correlation patterns. To account for the complexity of (i) exposure profiles and (ii) health outcomes, we propose to use a multitrait Bayesian variable selection approach and identify a sparse set of exposures jointly explanatory of the complex cardiometabolic health status. Using data from a subset (N = 941 participants) of the nutrition, environment, and cardiovascular health (NESCAV) study, we evaluated the link between measurements of the cumulative exposure to (N = 33) pollutants derived from hair and cardiometabolic health as proxied by up to nine measured traits. Our multitrait analysis showed increased statistical power, compared to single-trait analyses, to detect subtle contributions of exposures to a set of clinical phenotypes, while providing parsimonious results with improved interpretability. We identified six exposures that were jointly explanatory of cardiometabolic health as modeled by six complementary traits, of which, we identified strong associations between hexachlorobenzene and trifluralin exposure and adverse cardiometabolic health, including traits of obesity, dyslipidemia, and hypertension. This supports the use of this type of approach for the joint modeling, in an exposome context, of correlated exposures in relation to complex and multifaceted outcomes.
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Affiliation(s)
- Rin Wada
- Department of Epidemiology and Biostatistics, School of Public Health Imperial College London, London W2 1PG, U.K
- MRC Centre for Environment and Health Imperial College London, London W2 1PG, U.K
| | - Feng-Jiao Peng
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen L-1445, Luxembourg
| | - Chia-An Lin
- Department of Epidemiology and Biostatistics, School of Public Health Imperial College London, London W2 1PG, U.K
| | - Roel Vermeulen
- Department of Epidemiology and Biostatistics, School of Public Health Imperial College London, London W2 1PG, U.K
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht 3584 CM, The Netherlands
| | - Alba Iglesias-González
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen L-1445, Luxembourg
| | - Paul Palazzi
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen L-1445, Luxembourg
| | - Barbara Bodinier
- Department of Epidemiology and Biostatistics, School of Public Health Imperial College London, London W2 1PG, U.K
- MRC Centre for Environment and Health Imperial College London, London W2 1PG, U.K
| | - Sylvie Streel
- Department of Public Health Sciences, University of Liege, Liege 4000, Belgium
| | - Michèle Guillaume
- Department of Public Health Sciences, University of Liege, Liege 4000, Belgium
| | - Dragana Vuckovic
- Department of Epidemiology and Biostatistics, School of Public Health Imperial College London, London W2 1PG, U.K
- MRC Centre for Environment and Health Imperial College London, London W2 1PG, U.K
| | - Sonia Dagnino
- Department of Epidemiology and Biostatistics, School of Public Health Imperial College London, London W2 1PG, U.K
- Transporters in Imaging and Radiotherapy in Oncology (TIRO), Institut des sciences du vivant Fréderic Joliot, CEA, Université Côte d'Azur, Nice 06107, France
| | - Julien Chiquet
- Université Paris-Saclay, AgroParisTech, INRAE, UMR MIA Paris-Saclay, Palaiseau 91120, France
| | - Brice M R Appenzeller
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen L-1445, Luxembourg
| | - Marc Chadeau-Hyam
- Department of Epidemiology and Biostatistics, School of Public Health Imperial College London, London W2 1PG, U.K
- MRC Centre for Environment and Health Imperial College London, London W2 1PG, U.K
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10
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Peng FJ, Palazzi P, Mezzache S, Adelin E, Bourokba N, Bastien P, Appenzeller BMR. Association between Environmental Exposure to Multiclass Organic Pollutants and Sex Steroid Hormone Levels in Women of Reproductive Age. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:19383-19394. [PMID: 37934613 DOI: 10.1021/acs.est.3c06095] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2023]
Abstract
Organic pollutant exposure may alter sex steroid hormone levels in both animals and humans, but studies on mixture effects have been lacking and mainly limited to persistent organic pollutants, with few hormones being investigated. Moreover, measurements from a single blood or urine sample may not be able to reflect long-term status. Using hair analysis, here, we evaluated the relationship between multiclass organic pollutants and sex steroid hormones in 196 healthy Chinese women aged 25-45 years. Associations with nine sex steroid hormones, including progesterone, androstenedione (AD), testosterone (T), estrone (E1), and 17β-estradiol (E2), and eight related hormone ratios were explored on 54 pollutants from polychlorinated biphenyl (PCB), pesticide, and bisphenol families using stability-based Lasso regression analysis. Our results showed that each hormone was associated with a mixture of at least 10 examined pollutants. In particular, hair E2 concentration was associated with 19 pollutants, including γ-hexachlorocyclohexane, propoxur, permethrin, fipronil, mecoprop, prochloraz, and carbendazim. There were also associations between pollutants and hormone ratios, with pentachlorophenol, dimethylthiophosphate, 3-phenoxybenzoic acid, and flusilazole being related to both E1/AD and E2/T ratios. Our results suggest that exposure to background levels of pesticides PCB180 and bisphenol S may affect sex steroid hormone homeostasis among women of reproductive age.
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Affiliation(s)
- Feng-Jiao Peng
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1 A-B rue Thomas Edison, 1445 Strassen, Luxembourg
| | - Paul Palazzi
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1 A-B rue Thomas Edison, 1445 Strassen, Luxembourg
| | - Sakina Mezzache
- L'Oréal Research and Innovation, 1 avenue Eugène Schueller BP22, 93601 Aulnay sous Bois, France
| | - Emilie Adelin
- L'Oréal Research and Innovation, 1 avenue Eugène Schueller BP22, 93601 Aulnay sous Bois, France
| | - Nasrine Bourokba
- L'Oréal Research and Innovation, Biopolis Drive, Synapse, Singapore 138623, Singapore
| | - Philippe Bastien
- L'Oréal Research and Innovation, 1 avenue Eugène Schueller BP22, 93601 Aulnay sous Bois, France
| | - Brice M R Appenzeller
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1 A-B rue Thomas Edison, 1445 Strassen, Luxembourg
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11
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Yang S, Sun J, Wang S, E L, Zhang S, Jiang X. Association of exposure to polycyclic aromatic hydrocarbons with thyroid hormones in adolescents and adults, and the influence of the iodine status. ENVIRONMENTAL SCIENCE. PROCESSES & IMPACTS 2023; 25:1449-1463. [PMID: 37555279 DOI: 10.1039/d3em00135k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/10/2023]
Abstract
Some studies of endocrine-disrupting polycyclic aromatic hydrocarbon (PAH) exposure and thyroid hormones (THs) are inconclusive. To assess the associations between PAHs and THs, and the influence of the iodine status on PAHs-THs, we employed 648 adolescents (12-19 years old) and 2691 adults from the National Health and Nutrition Examination Survey 2007-2008 and 2011-2012. PAH metabolites [1-hydroxynaphthalene (1-NAP), 2-NAP, 1-hydroxyphenanthrene (1-PHE), 2-PHE, 3-PHE, 2-hydroxyfluorene (2-FLU), 3-FLU, 9-FLU, and 1-hydroxypyrene (1-PYR)], THs [total and free thyroxine (TT4 and FT4), total and free triiodothyronine (TT3 and FT3), thyroid stimulating hormone (TSH), and thyroglobulin (Tg)], peripheral deiodinase activity (GD) and thyroid's secretory capacity (GT) were involved. Multiple linear regression and weighted quantile sum (WQS) regression models were used to assess PAH-TH associations and the interaction between PAHs and the iodine status. Stratification analyses were conducted based on sex, smoking and iodine status. For adolescents, in a multivariable-adjusted regression model (β; 95% CI), 1-PHE (4.08%; 1.01%, and 7.25%), 2-PHE (3.98%; 0.70%, and 7.25%) and 9-FLU (3.77%; 1.10%, 7.47%) were positively correlated with TT3; 3-PHE and 1-PYR interacted with the iodine status (P-int < 0.05); 9-FLU was positively correlated with GD in both sexes. Combined exposure to PAHs was positively associated with Tg (0.137; 0.030, and 0.243), and negatively correlated with TSH (-0.087; -0.166, and -0.008). For adults, 2-NAP was positively correlated with FT3 (0.90%; 0.20%, and 1.61%), FT4 (1.82%; 0.70%, and 2.94%), TT3 (1.31%; 0.10%, and 2.63%), TT4 (2.12%; 0.90%, and 3.36%) and GT (2.22%; 1.01%, and 3.46%), but negatively correlated with TSH (-4.97%; -8.33%, and -1.49%); 1-NAP interacted with the iodine status (P-int < 0.05); 1-PHE was inversely correlated with TT3 in males; 2-PHE was positively correlated with TT3 in females. Combined exposure to PAHs was positively associated with FT3 (0.008; 0.001, and 0.014). Combined exposure to PAHs was positively associated with FT3, TT3 and GD, and negatively correlated with FT4, TT4 and GT in non-smoking adults; but positively associated with Tg (β = 0.140; 95% CI: 0.042, 0.237) in smoking adults. Our results indicated that combined and individual PAH exposure might be related to THs, and the iodine status had an influence on PAH-TH associations. These associations were not identical between adolescents and adults, and there were sex and smoking status differences.
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Affiliation(s)
- Siqi Yang
- Department of Epidemiology and Health Statistics, the School of Public Health of Qingdao University, Qingdao, China.
| | - Junhao Sun
- Department of Epidemiology and Health Statistics, the School of Public Health of Qingdao University, Qingdao, China.
| | - Shihao Wang
- Institute of Nutrition and Health, School of Public Health, Qingdao University, Qingdao, China
| | - Limei E
- Department of Epidemiology and Health Statistics, the School of Public Health of Qingdao University, Qingdao, China.
| | - Shuai Zhang
- Department of Epidemiology and Health Statistics, the School of Public Health of Qingdao University, Qingdao, China.
| | - Xiubo Jiang
- Department of Epidemiology and Health Statistics, the School of Public Health of Qingdao University, Qingdao, China.
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12
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Yang Z, Chen S, Zhou S, Xu C, Jing C, Guo C, Pan X, Zeng L, Tan L. Association of polycyclic aromatic hydrocarbon internal exposure and urinary iodine concentration with thyroid volume in children. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023:121912. [PMID: 37247771 DOI: 10.1016/j.envpol.2023.121912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 05/08/2023] [Accepted: 05/26/2023] [Indexed: 05/31/2023]
Abstract
Thyroid volume was proposed as a factor for malignancy in evaluating thyroid nodules. Previous studies have demonstrated the endocrine disrupting effect of polycyclic aromatic hydrocarbons (PAHs), but studies on the association between internal exposure of PAHs and thyroid volume are still scarce. In this work, we evaluated the association of polycyclic aromatic hydrocarbon internal exposure and urinary iodine concentration with thyroid volume in 590 school-age children without thyroid disease in Guangzhou, China. Urinary hydroxylated polycyclic aromatic hydrocarbons (OH-PAHs), urinary iodine concentrations, and thyroid volumes were measured. The mean concentrations of urinary iodine and ΣOH-PAHs were 271.1 μg/L and 3.27 μg/L, respectively, and the mean thyroid volume was 2.4 mL. The associations of urinary iodine and OH-PAH concentrations with thyroid volume were investigated by multivariable linear regression and the Bayesian kernel machine regression models. Urinary ΣOH-PAHs were observed to be significantly positively associated with thyroid volume in multivariable linear regression models. The increase in each unit in the log-transformed concentration of ΣOH-PAHs caused 3.88% change in thyroid volume. The Bayesian kernel machine regression model demonstrated a positive joint effect of increased urinary ΣOH-PAHs on thyroid volume. Moreover, urinary ΣOH-PAHs were statistically significant linked to urinary iodine, and iodine mediated the relationship between urinary OH-PAHs and thyroid volume with the mediated proportions of 15.2.
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Affiliation(s)
- Zhiyu Yang
- Guangzhou Center for Disease Control and Prevention, Guangzhou, 510440, China; Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China.
| | - Shouyi Chen
- Guangzhou Center for Disease Control and Prevention, Guangzhou, 510440, China
| | - Si Zhou
- Guangzhou Center for Disease Control and Prevention, Guangzhou, 510440, China
| | - Conghui Xu
- Guangzhou Center for Disease Control and Prevention, Guangzhou, 510440, China
| | - Chunxia Jing
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Chongshan Guo
- Guangzhou Center for Disease Control and Prevention, Guangzhou, 510440, China
| | - Xinhong Pan
- Guangzhou Center for Disease Control and Prevention, Guangzhou, 510440, China
| | - Lixi Zeng
- School of Environment, Jinan University, Guangzhou, 511443, China
| | - Lei Tan
- Guangzhou Center for Disease Control and Prevention, Guangzhou, 510440, China; School of Public Health, Southern Medical University, Guangzhou, 510515, China
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