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Lai H, Xin X. The effect of fiber intake on the association of pesticide exposure and hypertension: a population-level study. Front Public Health 2025; 13:1556699. [PMID: 40190760 PMCID: PMC11968753 DOI: 10.3389/fpubh.2025.1556699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2025] [Accepted: 03/03/2025] [Indexed: 04/09/2025] Open
Abstract
The association between pesticide exposure and the risk of hypertension is inconsistent. Moreover, little is known about the effects of dietary fiber intake on the association between pesticide exposure and the risk of hypertension. This study aimed to assess whether fiber intake alters the relationship between pesticide exposure and hypertension. The study included 14,218 American adult patients. Multivariate logistic regression analysis was used to assess the relationship between pesticide exposure and the risk of hypertension. We also examined the relationship between pesticide metabolites in urine specimens and hypertension. Participants were stratified based on their mean fiber intake (low fiber intake: <17 gm and high fiber intake: ≥17 gm). An interaction test between dietary fiber intake, pesticide exposure, and risk of hypertension was conducted. Exposure to pesticides increased the risk of hypertension in the crude and full-adjusted models, and their odds ratio (ORs) [95% Confidence Interval (CI)] were 1.40 (1.26-1.56) and 1.19 (1.05-1.34), respectively. The analysis of pesticide metabolites indicated that dimethyldithiophosphate was statistically associated with hypertension (OR = 1.01, 95% CI = 1.01-1.02). The association between pesticide exposure and hypertension was opposite among participants in low and high fiber intake groups, OR = 1.34, 95% CI: 1.14-1.58 vs. OR = 0.98, 95% CI: 0.80-1.20, respectively, which implied that a high fiber intake may decrease the risk of hypertension (interaction likelihood ratio test: p = 0.031). We are the first to report the role of fiber intake in pesticide exposure and the risk of hypertension.
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Affiliation(s)
- Haili Lai
- Department of Gynecology and Obstetrics, Ganzhou Maternal and Child Health Hospital, Ganzhou, Jiangxi, China
| | - Xiaoqin Xin
- Department of Clinical Laboratory, Ganzhou People’s Hospital, Ganzhou, Jiangxi, China
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Pan S, Li Z, Walker DI, Baumert BO, Wang H, Goodrich JA, Rock S, Inge TH, Jenkins TM, Sisley S, Bartell SM, Xanthakos S, Lin X, McNeil B, Robuck AR, Mullins CE, La Merill MA, Garcia E, Aung MT, Eckel SP, McConnell R, Conti DV, Ryder JR, Chatzi L. Metabolic Signatures in Adipose Tissue Linking Lipophilic Persistent Organic Pollutant Mixtures to Blood Pressure Five Years After Bariatric Surgery Among Adolescents. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2025; 59:4364-4375. [PMID: 39995310 PMCID: PMC11912326 DOI: 10.1021/acs.est.4c13902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/11/2024] [Revised: 02/12/2025] [Accepted: 02/13/2025] [Indexed: 02/26/2025]
Abstract
Persistent organic pollutants (POPs) are lipophilic environmental contaminants accumulated in the adipose tissue. Weight loss interventions, such as bariatric surgery, can mobilize POPs from adipose tissue into the bloodstream. We hypothesized that this mobilization could contribute to increases in blood pressure among 57 adolescents with severe obesity undergoing bariatric surgery. POPs and metabolic features were measured from visceral adipose tissue collected during surgery using gas and liquid chromatography, coupled with high-resolution mass spectrometry. Blood pressure was assessed at baseline, 6 months, and 5 years post-surgery. We used quantile g-computation to estimate associations of POP mixtures with blood pressure changes. With one quartile increase in POP mixtures, systolic blood pressure (SBP) increased by 6.4% five years after bariatric surgery compared to baseline SBP [95% confidence interval (CI): 0.4%, 12.4%]. The meet-in-the-middle approach identified overlapping metabolic features and pathways linking POP mixtures to SBP changes, highlighting the role of prostaglandin formation via arachidonic acid metabolism. POP mixtures were negatively associated with indole-3-acetate (-0.729, 95% CI: -1.234, -0.223), which was negatively associated with SBP changes at five years (-3.49%, 95% CI: -6.51%, -0.48%). Our findings suggested that lipophilic POP mixtures attenuated the beneficial effect of bariatric surgery on improved blood pressure among adolescents via alterations in lipid metabolism.
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Affiliation(s)
- Shudi Pan
- Department
of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California 90032, United States
| | - Zhenjiang Li
- Department
of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California 90032, United States
| | - Douglas I. Walker
- Gangarosa
Department of Environmental Health, Emory
University, Atlanta, Georgia 30322, United States
| | - Brittney O. Baumert
- Department
of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California 90032, United States
| | - Hongxu Wang
- Department
of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California 90032, United States
| | - Jesse A. Goodrich
- Department
of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California 90032, United States
| | - Sarah Rock
- Department
of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California 90032, United States
| | - Thomas H. Inge
- Department
of Surgery, Northwestern University Feinberg
School of Medicine and Ann & Robert H. Lurie Children’s
Hospital of Chicago, Chicago, Illinois 60611, United States
| | - Todd M. Jenkins
- Department
of Pediatrics, University of Cincinnati College of Medicine, Division of Biostatistics & Epidemiology, Cincinnati
Children’s Hospital Medical Center, Cincinnati, Ohio 45229, United States
| | - Stephanie Sisley
- Department
of Pediatrics, Baylor College of Medicine, USDA/ARS Children’s Nutrition Research Center, Houston, Texas 77030, United States
| | - Scott M. Bartell
- Department
of Environmental and Occupational Health, Department of Epidemiology
and Biostatistics, and Department of Statistics, University of California, Irvine, California 92697, United States
| | - Stavra Xanthakos
- Division
of Gastroenterology, Hepatology, Nutrition, Cincinnati Children’s
Hospital Medical Center, Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio 45229, United States
| | - Xiangping Lin
- Department
of Genetics, Stanford University School
of Medicine, Stanford, California 94305, United States
| | - Brooklynn McNeil
- Irving
Institute for Clinical and Translational Research, Columbia University, New York, New York 10027, United States
| | - Anna R. Robuck
- Department
of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States
| | - Catherine E. Mullins
- Gangarosa
Department of Environmental Health, Emory
University, Atlanta, Georgia 30322, United States
| | - Michele A. La Merill
- Department of Environmental Toxicology, University of California, Davis, California 95616, United States
| | - Erika Garcia
- Department
of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California 90032, United States
| | - Max T. Aung
- Department
of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California 90032, United States
| | - Sandrah P. Eckel
- Department
of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California 90032, United States
| | - Rob McConnell
- Department
of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California 90032, United States
| | - David V. Conti
- Department
of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California 90032, United States
| | - Justin R. Ryder
- Department
of Surgery, Northwestern University Feinberg
School of Medicine and Ann & Robert H. Lurie Children’s
Hospital of Chicago, Chicago, Illinois 60611, United States
| | - Lida Chatzi
- Department
of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California 90032, United States
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Barra NG, Fang H, Bhatwa A, Schmidt AM, Syed SA, Steinberg GR, Morrison KM, Surette MG, Wade MG, Holloway AC, Schertzer JD. Food supply toxicants and additives alter the gut microbiota and risk of metabolic disease. Am J Physiol Endocrinol Metab 2025; 328:E337-E353. [PMID: 39871724 DOI: 10.1152/ajpendo.00364.2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2024] [Revised: 10/09/2024] [Accepted: 01/13/2025] [Indexed: 01/29/2025]
Abstract
Metabolic disease is rising along with both global industrialization and the use of new commercial, agricultural, and industrial chemicals and food additives. Exposure to these compounds may contribute to aspects of metabolic diseases such as obesity, diabetes, and fatty liver disease. Ingesting compounds in the food supply is a key route of human exposure, resulting in the interaction between toxicants or additives and the intestinal microbiota. Toxicants can influence the composition and function of the gut microbiota, and these microbes can metabolize and transform toxicants and food additives. Microbe-toxicant interactions in the intestine can alter host mucosal barrier function, immunity, and metabolism, which may contribute to the risk or severity of metabolic disease development. Targeting the connection between toxicants, food, and immunity in the gut using strategies such as fermentable fiber (i.e., inulin) may mitigate some of the effects of these compounds on host metabolism. Understanding causative factors in the microbe-host relationship that promote toxicant-induced dysmetabolism is an important goal. This review highlights the role of common toxicants (i.e., persistent organic pollutants, pesticides, and fungicides) and food additives (emulsifiers and artificial sweeteners) found in our food supply that alter the gut microbiota and promote metabolic disease development.
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Affiliation(s)
- Nicole G Barra
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario, Canada
- Farncombe Family Digestive Health Research Institute, McMaster University, Hamilton, Ontario, Canada
- Centre for Metabolism, Obesity, and Diabetes Research, McMaster University, Hamilton, Ontario, Canada
| | - Han Fang
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario, Canada
- Farncombe Family Digestive Health Research Institute, McMaster University, Hamilton, Ontario, Canada
- Centre for Metabolism, Obesity, and Diabetes Research, McMaster University, Hamilton, Ontario, Canada
| | - Arshpreet Bhatwa
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario, Canada
- Farncombe Family Digestive Health Research Institute, McMaster University, Hamilton, Ontario, Canada
- Centre for Metabolism, Obesity, and Diabetes Research, McMaster University, Hamilton, Ontario, Canada
| | - Angela M Schmidt
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario, Canada
- Farncombe Family Digestive Health Research Institute, McMaster University, Hamilton, Ontario, Canada
- Centre for Metabolism, Obesity, and Diabetes Research, McMaster University, Hamilton, Ontario, Canada
| | - Saad A Syed
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario, Canada
- Farncombe Family Digestive Health Research Institute, McMaster University, Hamilton, Ontario, Canada
| | - Gregory R Steinberg
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario, Canada
- Centre for Metabolism, Obesity, and Diabetes Research, McMaster University, Hamilton, Ontario, Canada
- Division of Endocrinology and Metabolism, Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Katherine M Morrison
- Centre for Metabolism, Obesity, and Diabetes Research, McMaster University, Hamilton, Ontario, Canada
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
| | - Michael G Surette
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario, Canada
- Farncombe Family Digestive Health Research Institute, McMaster University, Hamilton, Ontario, Canada
| | - Michael G Wade
- Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada
| | - Alison C Holloway
- Centre for Metabolism, Obesity, and Diabetes Research, McMaster University, Hamilton, Ontario, Canada
- Department of Obstetrics and Gynecology, McMaster University, Hamilton, Ontario, Canada
| | - Jonathan D Schertzer
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario, Canada
- Farncombe Family Digestive Health Research Institute, McMaster University, Hamilton, Ontario, Canada
- Centre for Metabolism, Obesity, and Diabetes Research, McMaster University, Hamilton, Ontario, Canada
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4
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Chen Y, Deng Y, Wu M, Ma P, Pan W, Chen W, Zhao L, Huang X. Impact of pesticides exposure and type 2 diabetes risk: a systematic review and meta-analysis. Endocrine 2025; 87:448-458. [PMID: 39384693 DOI: 10.1007/s12020-024-04067-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2024] [Accepted: 10/03/2024] [Indexed: 10/11/2024]
Abstract
OBJECTIVE We conducted a systematic review and meta-analysis of observational studies that assessed the relationship between pesticides exposure and type 2 diabetes. We also examined the presence of heterogeneity and biases across the available studies. METHODS We conducted a comprehensive literature search of peer-reviewed studies published from 2011 to 2023, without language limitations. A random-effects model was employed to calculate the overall odds ratio (OR) and its corresponding 95% confidence interval (CI). RESULTS We included 19 studies (n = 12 case-control and n = 7 cross-sectional) for a total of 45,813 participants in our analysis. Our findings revealed a notable correlation between pesticide exposure and type 2 diabetes (non-specific definition) when not limiting pesticide types (OR: 1.19, 95% CI: 1.11-1.28). Subgroup analysis identified associations between pyrethroid (OR: 1.17, 95% CI: 1.05-1.30) and type 2 diabetes, as well as between organochlorine (OR: 1.26, 95% CI: 1.11-1.43) and type 2 diabetes. However, no statistically significant association was observed between herbicide exposure and the onset of type 2 diabetes (OR: 1.26, 95% CI: 0.91-1.75). In the elderly group, pesticide exposure significantly heightened the risk of type 2 diabetes (OR: 1.25, 95% CI: 1.14-1.38), with no statistically significant heterogeneity among studies (I2 = 14.2%, p = 0.323). CONCLUSIONS Pesticide (organochlorine and pyrethroid) exposure constitutes a risk factor for type 2 diabetes.
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Affiliation(s)
- Yang Chen
- Department of Toxicology, School of Public Health, Guangxi Key Laboratory of Environment and Health Research, Guangxi Medical University, Nanning, China
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning, China
| | - Yaqin Deng
- Department of Toxicology, School of Public Health, Guangxi Key Laboratory of Environment and Health Research, Guangxi Medical University, Nanning, China
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning, China
| | - Minjia Wu
- Department of Toxicology, School of Public Health, Guangxi Key Laboratory of Environment and Health Research, Guangxi Medical University, Nanning, China
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning, China
| | - Peixuan Ma
- Department of Toxicology, School of Public Health, Guangxi Key Laboratory of Environment and Health Research, Guangxi Medical University, Nanning, China
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning, China
| | - Wen Pan
- Department of Toxicology, School of Public Health, Guangxi Key Laboratory of Environment and Health Research, Guangxi Medical University, Nanning, China
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning, China
| | - Weiqi Chen
- Department of Toxicology, School of Public Health, Guangxi Key Laboratory of Environment and Health Research, Guangxi Medical University, Nanning, China
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning, China
| | - Lina Zhao
- School of Public Health, Wuhan University, Wuhan, China
| | - Xiaowei Huang
- Department of Toxicology, School of Public Health, Guangxi Key Laboratory of Environment and Health Research, Guangxi Medical University, Nanning, China.
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning, China.
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Wang X, Tian M, Shen Z, Tian K, Fei Y, Cheng Y, Ruan J, Mo S, Dai J, Xia W, Jiang M, Zhao X, Zhu J, Xiao J. Comprehensive Cross-Sectional Study of the Triglyceride Glucose Index, Organophosphate Pesticide Exposure, and Cardiovascular Diseases: A Machine Learning Integrated Approach. TOXICS 2025; 13:118. [PMID: 39997933 PMCID: PMC11860532 DOI: 10.3390/toxics13020118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2025] [Revised: 01/27/2025] [Accepted: 01/30/2025] [Indexed: 02/26/2025]
Abstract
Using NHANES data from 2003 to 2008, 2011 to 2012, and 2015 to 2020, we examined the relationship between urinary organophosphate pesticide (OPP) metabolites and the triglyceride glucose (TyG) index. The TyG index evaluates insulin resistance, a crucial factor in metabolic diseases. Linear regression analyzed urinary metabolites in relation to the TyG index and OPPs. An RCS (restricted cubic spline) model explored the nonlinear relationship of a single OPP metabolite to TyG. A weighted quantile regression and quantile-based g-computation assessed the impact of combined OPP exposure on the TyG index. XGBoost, Random Forest, Support Vector Machines, logistic regression, and SHapley Additive exPlanations models investigated the impact of OPPs on the TyG index and cardiovascular disease. Network toxicology identified CVD targets associated with OPPs. This study included 4429 participants based on specific criteria. Linear regression analysis indicated that diethyl thiophosphate was positively correlated with the TyG index. The positive correlation between OPP metabolites and the TyG index at low to moderate concentrations was confirmed by WQS and QGC analyses. The machine learning results aligned with traditional statistical findings. Network toxicology identified PTGS3, PPARG, HSP40AA1, and CXCL8 as targets influenced by OPPs. OPP exposure influences IR and cardiometabolic health, highlighting the importance of public health prevention.
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Affiliation(s)
- Xuehai Wang
- Nantong Key Laboratory of Environmental Toxicology, Department of Occupational Medicine and Environmental Toxicology, School of Public Health, Nantong University, Nantong 226019, China; (X.W.); (M.T.); (X.Z.)
| | - Mengxin Tian
- Nantong Key Laboratory of Environmental Toxicology, Department of Occupational Medicine and Environmental Toxicology, School of Public Health, Nantong University, Nantong 226019, China; (X.W.); (M.T.); (X.Z.)
| | - Zengxu Shen
- Nantong Key Laboratory of Environmental Toxicology, Department of Occupational Medicine and Environmental Toxicology, School of Public Health, Nantong University, Nantong 226019, China; (X.W.); (M.T.); (X.Z.)
| | - Kai Tian
- Nantong Key Laboratory of Environmental Toxicology, Department of Occupational Medicine and Environmental Toxicology, School of Public Health, Nantong University, Nantong 226019, China; (X.W.); (M.T.); (X.Z.)
| | - Yue Fei
- Nantong Key Laboratory of Environmental Toxicology, Department of Occupational Medicine and Environmental Toxicology, School of Public Health, Nantong University, Nantong 226019, China; (X.W.); (M.T.); (X.Z.)
| | - Yulan Cheng
- Nantong Key Laboratory of Environmental Toxicology, Department of Occupational Medicine and Environmental Toxicology, School of Public Health, Nantong University, Nantong 226019, China; (X.W.); (M.T.); (X.Z.)
| | - Jialing Ruan
- Nantong Key Laboratory of Environmental Toxicology, Department of Occupational Medicine and Environmental Toxicology, School of Public Health, Nantong University, Nantong 226019, China; (X.W.); (M.T.); (X.Z.)
| | - Siyi Mo
- Nantong Key Laboratory of Environmental Toxicology, Department of Occupational Medicine and Environmental Toxicology, School of Public Health, Nantong University, Nantong 226019, China; (X.W.); (M.T.); (X.Z.)
| | - Jingjing Dai
- Nantong Key Laboratory of Environmental Toxicology, Department of Occupational Medicine and Environmental Toxicology, School of Public Health, Nantong University, Nantong 226019, China; (X.W.); (M.T.); (X.Z.)
| | - Weiyi Xia
- Nantong Key Laboratory of Environmental Toxicology, Department of Occupational Medicine and Environmental Toxicology, School of Public Health, Nantong University, Nantong 226019, China; (X.W.); (M.T.); (X.Z.)
| | - Mengna Jiang
- Nantong Key Laboratory of Environmental Toxicology, Department of Occupational Medicine and Environmental Toxicology, School of Public Health, Nantong University, Nantong 226019, China; (X.W.); (M.T.); (X.Z.)
| | - Xinyuan Zhao
- Nantong Key Laboratory of Environmental Toxicology, Department of Occupational Medicine and Environmental Toxicology, School of Public Health, Nantong University, Nantong 226019, China; (X.W.); (M.T.); (X.Z.)
| | - Jinfeng Zhu
- Nantong Hospital to Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Jing Xiao
- Nantong Key Laboratory of Environmental Toxicology, Department of Occupational Medicine and Environmental Toxicology, School of Public Health, Nantong University, Nantong 226019, China; (X.W.); (M.T.); (X.Z.)
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Shekhar C, Khosya R, Sharma AK, Thakur K, Mahajan D, Kumar R, Kumar S, Sharma AK. A systematic review on health risks of water pollutants: classification, effects and innovative solutions for conservation. Toxicol Res (Camb) 2025; 14:tfaf014. [PMID: 39872306 PMCID: PMC11761733 DOI: 10.1093/toxres/tfaf014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2024] [Revised: 01/08/2025] [Accepted: 01/20/2025] [Indexed: 01/30/2025] Open
Abstract
In this developing era, increased anthropogenic activities result in the contamination of natural resources. Different kinds of pollutants threaten the water quality being crucial for the existence of life. There are different sources and routes through which different kinds of pollutants cause health consequences. This systematic review consists of the classification of water pollutants and a particular focus on toxicological studies on aquatic life, soil, plants and humans with a comparative account of conservation technologies. In this study, various databases like Scopus, Science Direct, Google Scholar, Research Gate and Web of Science were used to find the most relevant and recent literature till September 2024. Studies were selected based on their focus on classes of water pollutants, routes, their cumulative effects and remediation technologies. This review successfully managed to classify the different water pollutants and found a significant association between their exposure and disorders shown by aquatic life and human health. There is a number of evidence of neurological disorders, reproductive and endocrine disruptions. However, the effect can also be seen in both aquatic as well as terrestrial ecosystems. Long-term exposure to water pollutants presents significant health risks and indicates degrading quality of drinking water and aquatic life. This review provides insight into the emergence of pollutants in water and the need for strong preventive policies. It also suggests the necessity of developing cost-effective and advanced conservation technologies for the availability of safe water.
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Affiliation(s)
- Chander Shekhar
- Department of Animal Sciences, Central University of Himachal Pradesh Shahpur Campus, 176206, Kangra Himachal Pradesh, India
| | - Reetu Khosya
- Department of Animal Sciences, Central University of Himachal Pradesh Shahpur Campus, 176206, Kangra Himachal Pradesh, India
| | - Arvind Kumar Sharma
- Department of Chemistry, Minerva PG College of Arts, Science and Commerce, Indora, 176402, Himachal Pradesh, India
| | - Kushal Thakur
- Department of Animal Sciences, Central University of Himachal Pradesh Shahpur Campus, 176206, Kangra Himachal Pradesh, India
| | - Danish Mahajan
- Department of Animal Sciences, Central University of Himachal Pradesh Shahpur Campus, 176206, Kangra Himachal Pradesh, India
| | - Rakesh Kumar
- Department of Animal Sciences, Central University of Himachal Pradesh Shahpur Campus, 176206, Kangra Himachal Pradesh, India
| | - Sunil Kumar
- Department of Animal Sciences, Central University of Himachal Pradesh Shahpur Campus, 176206, Kangra Himachal Pradesh, India
| | - Amit Kumar Sharma
- Department of Animal Sciences, Central University of Himachal Pradesh Shahpur Campus, 176206, Kangra Himachal Pradesh, India
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7
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Warner M, Rauch S, Eskenazi B, Calderon L, Gunier RB, Kogut K, Holland N, Guo W, Deardorff J, Torres JM. Persistent organochlorine pesticides and cardiometabolic outcomes among middle-aged Latina women in a California agricultural community: The CHAMACOS Maternal Cognition Study. ENVIRONMENT INTERNATIONAL 2025; 196:109302. [PMID: 39893912 DOI: 10.1016/j.envint.2025.109302] [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: 09/05/2024] [Revised: 12/31/2024] [Accepted: 01/23/2025] [Indexed: 02/04/2025]
Abstract
OBJECTIVE Environmental exposure to endocrine disrupting compounds is hypothesized to increase risk of cardiovascular disease through effects on obesity, hypertension, dyslipidemia, and insulin resistance. We examined the relationship between serum concentrations of persistent organochlorine pesticides and biologic markers of inflammation and cardiometabolic disease, measured over a decade later, in a cohort of middle-aged and primarily immigrant Latina women living in an underserved agricultural community in California. MATERIAL AND METHODS We used data from the Center for the Health Assessment of Mothers and Children of Salinas-Maternal Cognition Study (CHAMACOS-MCS). We included 468 women who had concentrations of organochlorine pesticides measured in serum collected in 2009-2011 and complete follow-up data in 2022-2024 (blood draw, anthropometry, personal interview). We used Bayesian hierarchical regression models (BHM) to examine the independent effects of five highly correlated pesticides with continuous and binary measures of cardiometabolic disease and inflammation. RESULTS Participants averaged 49.0 (±5.5) years at follow-up. In BHM models, a 10-fold increase in p,p'-dichlorodiphenyltrichloroethane (DDT) and β-hexacyclohexane (β-HCH) was positively associated with BMI (DDT: adj-β = 1.26, 95 % Credible Interval (CrI): 0.33, 2.20; β-HCH: adj-β = 1.56, 95 %CrI: 0.45, 2.67) and waist circumference (DDT: adj-β = 2.75, 95 %CrI: 0.65, 4.85; β-HCH: adj-β = 3.74, 95 %CrI: 1.24, 6.23). Although credible intervals crossed the null, consistent positive associations were observed for DDT and β-HCH with blood pressure and for DDT with insulin resistance. Trans-nonachlor was positively associated with triglycerides (log-TRIG: adj-β = 0.08, 95 %CrI: 0.02, 0.13). β-HCH was positively associated with inflammatory markers (log-hsCRP: adj-β = 0.11, 95 %CrI: 0.03, 0.19; log-IL-6: adj-β = 0.08, 95 %CrI: 0.03, 0.14). CONCLUSION With over a decade of follow-up, we extend evidence on previously reported associations of DDT and β-HCH with several measures of obesity. In addition, we provide new evidence suggesting associations with biomarkers of blood pressure, insulin resistance, dyslipidemia and inflammation, supporting the hypothesis that exposure may have long-term influences on cardiovascular disease risk.
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Affiliation(s)
- Marcella Warner
- Center for Environmental Research and Community Health (CERCH), School of Public Health, University of California Berkeley, Berkeley, CA, USA.
| | - Stephen Rauch
- Center for Environmental Research and Community Health (CERCH), School of Public Health, University of California Berkeley, Berkeley, CA, USA
| | - Brenda Eskenazi
- Center for Environmental Research and Community Health (CERCH), School of Public Health, University of California Berkeley, Berkeley, CA, USA
| | - Lucia Calderon
- Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Robert B Gunier
- Center for Environmental Research and Community Health (CERCH), School of Public Health, University of California Berkeley, Berkeley, CA, USA
| | - Katherine Kogut
- Center for Environmental Research and Community Health (CERCH), School of Public Health, University of California Berkeley, Berkeley, CA, USA
| | - Nina Holland
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, CA, USA
| | - Weihong Guo
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, CA, USA
| | - Julianna Deardorff
- Center for Environmental Research and Community Health (CERCH), School of Public Health, University of California Berkeley, Berkeley, CA, USA
| | - Jacqueline M Torres
- Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA, USA
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8
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Dong Y, Xu W, Liu S, Xu Z, Qiao S, Cai Y. Serum albumin and liver dysfunction mediate the associations between organophosphorus pesticide exposure and hypertension among US adults. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 948:174748. [PMID: 39019272 DOI: 10.1016/j.scitotenv.2024.174748] [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: 05/30/2024] [Revised: 07/03/2024] [Accepted: 07/11/2024] [Indexed: 07/19/2024]
Abstract
BACKGROUND Human health is commonly threatened by organophosphorus pesticides (OPPs) due to their widespread use and biological characteristics. However, the combined effect of mixtures of OPPs metabolites on the risk of hypertension and potential mechanism remain limited. OBJECTIVES To comprehensively investigate the effects between OPPs exposure on hypertension risk and explore and underlying mechanism among US general population. METHODS This cross-sectional study collected US adults who had available data on urine OPPs metabolites (dialkyl phosphate compounds, DAPs) from the National Health and Nutrition Examination Survey (NHANES) to assess the relationships of DAPs with hypertension risk. Survey-weighted logistic regression, restricted cubic spline (RCS), and mixed exposure analysis models [weighted quantile sum regression (WQS) and Bayesian kernel machine regression (BKMR)] were used to analyze individual, dose-response and combined associations between urinary DAPs metabolites and hypertension risk, respectively. Mediation analysis determined the potential intermediary role of serum albumin and liver function in the above associations. RESULTS Compared with the reference group, participants with the highest tertile levels of DEP, DMTP, DETP, and DMDTP experienced increased risk of hypertension by 1.21-fold (95%CI: 1.02-1.36), 1.20-fold (95%CI: 1.02-1.42), 1.19-fold (95%CI: 1.01-1.40), and 1.17-fold (95%CI: 1.03-1.43), respectively. RCS curve also showed positive exposure-response associations of individual DAPs with hypertension risk. WQS and BKMR analysis further confirmed DAP mixtures were significantly associated with increased risk of hypertension, with DEP identified as a major contributor to the combined effect. Mediation analysis indicated that serum albumin and AST/ALT ratios played crucial mediating roles in the relationships between individual and mixed urinary DAPs and the prevalence of hypertension. CONCLUSION Our findings provided more comprehensive and novel perspectives into the individual and combined effects of urinary OPPs matabolites on the increased risk of hypertension and the possible driving mechanism, which would be of great significance for environmental control and early prevention of hypertension.
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Affiliation(s)
- Yinqiao Dong
- Department of Public Health, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200335, China; School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Wei Xu
- Department of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Shiping Liu
- National Children's Medical Center, Shanghai Children's Medical Center affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Zhongqing Xu
- Department of General Practice, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200335, China
| | - Shan Qiao
- Department of Health Promotion Education and Behaviors, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
| | - Yong Cai
- Department of Public Health, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200335, China.
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9
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Xu C, Ye P, Lin M, Liao S, Yue Q, Xia J. Investigating the correlation between pesticide bioconcentration and human disease through the integration of remote sensing and physical modeling. GEO-SPATIAL INFORMATION SCIENCE 2024:1-14. [DOI: 10.1080/10095020.2024.2313327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 01/29/2024] [Indexed: 01/04/2025]
Affiliation(s)
- Chenyang Xu
- School of Agriculture, Sun Yat-sen University, Shenzhen, China
- School of Agriculture, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
- Modern Agricultural Innovation Center, Henan Institute of Sun Yat-sen University, Zhumadian, China
| | - Pei Ye
- Department of Urban Informatics, Shenzhen University, Shenzhen, China
| | - Minghao Lin
- School of Agriculture, Sun Yat-sen University, Shenzhen, China
- School of Agriculture, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Shuangqiao Liao
- School of Agriculture, Sun Yat-sen University, Shenzhen, China
- School of Agriculture, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Qian Yue
- Institute of Tropical and Marine Meteorology, China Meteorological Administration, Guangzhou, China
| | - Jizhe Xia
- Department of Urban Informatics, Shenzhen University, Shenzhen, China
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Nabi-Afjadi M, Ostadhadi S, Liaghat M, Pasupulla AP, Masoumi S, Aziziyan F, Zalpoor H, Abkhooie L, Tarhriz V. Revolutionizing type 1 diabetes management: Exploring oral insulin and adjunctive treatments. Biomed Pharmacother 2024; 176:116808. [PMID: 38805967 DOI: 10.1016/j.biopha.2024.116808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Revised: 05/20/2024] [Accepted: 05/20/2024] [Indexed: 05/30/2024] Open
Abstract
Type 1 diabetes (T1D) is a chronic autoimmune condition that affects millions of people worldwide. Insulin pumps or injections are the standard treatment options for this condition. This article provides a comprehensive overview of the several type 1 diabetes treatment options, focusing on oral insulin. The article is divided into parts that include immune-focused treatments, antigen vaccination, cell-directed interventions, cytokine-directed interventions, and non-immunomodulatory adjuvant therapy. Under the section on non-immunomodulatory adjunctive treatment, the benefits and drawbacks of medications such as metformin, amylin, sodium-glucose cotransporter inhibitors, glucagon-like peptide-1 receptor agonists (GLP-1 Ras), and verapamil are discussed. The article also discusses the advantages of oral insulin, including increased patient compliance and more dependable and regular blood sugar control. However, several variables, including the enzymatic and physical barriers of the digestive system, impair the administration of insulin via the mouth. Researchers have looked at a few ways to get over these challenges, such as changing the structure of the insulin molecule, improving absorption with the use of absorption enhancers or nanoparticles, and taking oral insulin together with other medications. Even with great advancements in the use of these treatment strategies, T1D still needs improvement in the therapeutic difficulties. Future studies in these areas should focus on creating tailored immunological treatments, looking into combination medications, and refining oral insulin formulations in an attempt to better control Type 1 Diabetes. The ultimate objective is to create accurate, customized strategies that will enhance glycemic management and the quality of life for individuals with the condition.
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Affiliation(s)
- Mohsen Nabi-Afjadi
- Department of Biochemistry, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran.
| | - Samane Ostadhadi
- Department of Cell and Molecular Biology and Microbiology, Faculty of Biological Science and Technology, University of Isfahan, Isfahan, Iran
| | - Mahsa Liaghat
- Department of Medical Laboratory Sciences, Faculty of Medical Sciences, Islamic Azad University, Kazerun Branch, Kazerun, Iran; Network of Immunity in Infection, Malignancy & Autoimmunity (NIIMA), Universal Scientific Education & Research Network (USERN), Tehran, Iran
| | - Ajay Prakash Pasupulla
- Oral and Maxillofacial Pathology, School of Medicine, Colllege of health Sciences, Wachemo University, Hosanna, Ethiopia
| | - Sajjad Masoumi
- Department of Medical Biotechnology, National institute of Genetic Engineering and Biotechnology, Tehran, Iran
| | - Fatemeh Aziziyan
- Department of Biochemistry, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran; Network of Immunity in Infection, Malignancy & Autoimmunity (NIIMA), Universal Scientific Education & Research Network (USERN), Tehran, Iran
| | - Hamidreza Zalpoor
- Network of Immunity in Infection, Malignancy & Autoimmunity (NIIMA), Universal Scientific Education & Research Network (USERN), Tehran, Iran; Shiraz Neuroscience Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Leila Abkhooie
- Razi Herbal Medicines Research Center, Lorestan University of Medical Sciences, Khorramabad, Iran; Department of Medical Biotechnology, School of Medicine, Lorestan University of Medical Sciences, Khorramabad, Iran
| | - Vahideh Tarhriz
- Cardiovascular Center of Excellence, Louisiana State University Health Sciences Center, New Orleans, LA, USA.
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Chen Z, Wu R, Wei D, Wu X, Ma C, Shi J, Geng J, Zhao M, Guo Y, Xu H, Zhou Y, Zeng X, Huo W, Wang C, Mao Z. New findings on the risk of hypertension from organophosphorus exposure under different glycemic statuses: The key role of lipids? THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 930:172711. [PMID: 38688361 DOI: 10.1016/j.scitotenv.2024.172711] [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: 03/01/2024] [Revised: 04/15/2024] [Accepted: 04/21/2024] [Indexed: 05/02/2024]
Abstract
BACKGROUND AND OBJECTIVE Considering the widespread use of organophosphorus pesticides (OPs) and the global prevalence of hypertension (HTN), as well as studies indicating that different glycemic statuses may respond differently to the biological effects of OPs. Therefore, this study, based on the Henan rural cohort, aims to investigate the association between OPs exposure and HTN, and further explores whether lipids mediate these associations. METHODS We measured the plasma levels of OPs in 2730 participants under different glycemic statuses using gas chromatography-triple quadrupole mass spectrometry (GC-MS/MS). A generalized linear model, Quantile g-computation (QGC), adaptive elastic net (AENET), and Bayesian kernel machine regression (BKMR) models were used to assess the impact of OPs exposure on HTN, with least absolute shrinkage and selection operator (LASSO) penalty regression identifying main OPs. Mediation models were used to evaluate the intermediary role of blood lipids in the OPs-HTN relationship. RESULTS The detection rates for all OPs were high, ranging from 76.35 % to 99.17 %. In the normal glucose tolerance (NGT) population, single exposure models indicated that malathion and phenthoate were associated with an increased incidence of HTN (P-FDR < 0.05), with corresponding odds ratios (ORs) and 95 % confidence intervals (CIs) of 1.624 (1.167,2.260) and 1.290 (1.072,1.553), respectively. QGC demonstrated a positive association between OP mixtures and HTN, with malathion and phenthoate being the primary contributors. Additionally, the AENET model's Exposure Response Score (ERS) suggested that the risk of HTN increases with higher ERS (P < 0.001). Furthermore, BKMR revealed that co-exposure to OPs increases HTN risk, with phenthoate having a significant impact. Furthermore, triglycerides (TG) mediated 6.55 % of the association between phenthoate and HTN. However, no association was observed in the impaired fasting glucose (IFG) and type 2 diabetes mellitus (T2DM) populations. CONCLUSIONS Our findings suggest that in the NGT population, OPs may significantly contribute to the development of HTN, proposing TG as a potential novel target for HTN prevention.
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Affiliation(s)
- Zhiwei Chen
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Ruihong Wu
- School of Computer Science and Technology, East China Normal University; Information Department, First Affiliated Hospital of Henan University of Chinese Medicine, PR China
| | - Dandan Wei
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Xueyan Wu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Cuicui Ma
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Jiayu Shi
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Jintian Geng
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Mengzhen Zhao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Yao Guo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Haoran Xu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Yilin Zhou
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Xin Zeng
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Wenqian Huo
- Department of Occupational and Environmental Health Sciences, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Zhenxing Mao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
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12
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Ugalde-Resano R, Mérida-Ortega Á, Barajas B, López-Carrillo L, Cebrián ME. Diabetes mellitus and serum organochlorine pesticides mixtures in Mexican women. Environ Health 2024; 23:57. [PMID: 38872224 PMCID: PMC11170832 DOI: 10.1186/s12940-024-01096-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 06/06/2024] [Indexed: 06/15/2024]
Abstract
BACKGROUND Very recently, it has been reported that exposure to different mixtures of organochlorine pesticides (OCP) is associated with the development of diabetes mellitus (DM). In Mexico, DM is a public health problem that might be related to the historical intense use of OCP. We aimed to evaluate, the association between DM and serum concentrations of OCP mixtures, and identify the main contributors within them. METHODS We conducted a secondary cross-sectional analysis on the control group from a breast cancer population-based case-control study conducted from 2007 to 2011 in Northern Mexico. We identified 214 self-reported diabetic women and 694 non-diabetics. We obtained direct information about sociodemographic, lifestyle and reproductive characteristics. We determined 24 OCP and metabolites in serum by gas chromatography using an electron capture micro detector. We used Weighted Quantile Sum regression to assess the association of DM and exposure to multiple OCP, and the contribution of each compound within the mixture. RESULTS We found a positive adjusted association between DM and an OCP mixture (OR: 2.63, 95%CI: 1.85, 3.74), whose primary contribution arose from p, p'-DDE (mean weight 23.3%), HCB (mean weight 17.3%), trans nonachlor (mean weight 15.4%), o, p'-DDE (mean weight 7.3%), heptachlor epoxide (mean weight 5.9%), oxychlordane (mean weight 4.7%), and heptachlor (mean weight 4.5%). In addition, these OCP along with p, p'-DDT and cis chlordane, were of concern and remained associated when excluding hypertensive women from the analysis (OR 2.55; 95% CI 1.56, 4.18). CONCLUSIONS Our results indicate, for the first time in a Latin-American population, that the concomitant exposure to multiple OCP is associated with DM. Further research is needed since the composition of OCP mixtures may vary according to regional pesticides use patterns.
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Affiliation(s)
- Rodrigo Ugalde-Resano
- Centro de Investigación en Salud Poblacional, Instituto Nacional de Salud Pública, Av. Universidad 655, Col. Santa María Ahuacatitlán, Cuernavaca, Morelos, C.P. 62100, México
| | - Ángel Mérida-Ortega
- Centro de Investigación en Salud Poblacional, Instituto Nacional de Salud Pública, Av. Universidad 655, Col. Santa María Ahuacatitlán, Cuernavaca, Morelos, C.P. 62100, México
| | - Belén Barajas
- Departamento de Toxicología, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Av. Instituto Politécnico Nacional 2508, Col. San Pedro Zacatenco, México, C.P. 07360, México
| | - Lizbeth López-Carrillo
- Centro de Investigación en Salud Poblacional, Instituto Nacional de Salud Pública, Av. Universidad 655, Col. Santa María Ahuacatitlán, Cuernavaca, Morelos, C.P. 62100, México.
| | - Mariano E Cebrián
- Departamento de Toxicología, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Av. Instituto Politécnico Nacional 2508, Col. San Pedro Zacatenco, México, C.P. 07360, México.
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13
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Ahmad MF, Ahmad FA, Alsayegh AA, Zeyaullah M, AlShahrani AM, Muzammil K, Saati AA, Wahab S, Elbendary EY, Kambal N, Abdelrahman MH, Hussain S. Pesticides impacts on human health and the environment with their mechanisms of action and possible countermeasures. Heliyon 2024; 10:e29128. [PMID: 38623208 PMCID: PMC11016626 DOI: 10.1016/j.heliyon.2024.e29128] [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: 08/31/2023] [Revised: 03/29/2024] [Accepted: 04/01/2024] [Indexed: 04/17/2024] Open
Abstract
Pesticides are chemical constituents used to prevent or control pests, including insects, rodents, fungi, weeds, and other unwanted organisms. Despite their advantages in crop production and disease management, the use of pesticides poses significant hazards to the environment and public health. Pesticide elements have now perpetually entered our atmosphere and subsequently contaminated water, food, and soil, leading to health threats ranging from acute to chronic toxicities. Pesticides can cause acute toxicity if a high dose is inhaled, ingested, or comes into contact with the skin or eyes, while prolonged or recurrent exposure to pesticides leads to chronic toxicity. Pesticides produce different types of toxicity, for instance, neurotoxicity, mutagenicity, carcinogenicity, teratogenicity, and endocrine disruption. The toxicity of a pesticide formulation may depend on the specific active ingredient and the presence of synergistic or inert compounds that can enhance or modify its toxicity. Safety concerns are the need of the hour to control contemporary pesticide-induced health hazards. The effectiveness and implementation of the current legislature in providing ample protection for human health and the environment are key concerns. This review explored a comprehensive summary of pesticides regarding their updated impacts on human health and advanced safety concerns with legislation. Implementing regulations, proper training, and education can help mitigate the negative impacts of pesticide use and promote safer and more sustainable agricultural practices.
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Affiliation(s)
- Md Faruque Ahmad
- Department of Clinical Nutrition, College of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia
| | - Fakhruddin Ali Ahmad
- Department of Basic and Applied Science, School of Engineering and Science, G.D Goenka University, Gururgram, Haryana, 122103, India
| | - Abdulrahman A. Alsayegh
- Department of Clinical Nutrition, College of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia
| | - Md. Zeyaullah
- Department of Basic Medical Science, College of Applied Medical Sciences, Khamis Mushayt Campus, King Khalid University (KKU), Abha, Saudi Arabia
| | - Abdullah M. AlShahrani
- Department of Basic Medical Science, College of Applied Medical Sciences, Khamis Mushayt Campus, King Khalid University (KKU), Abha, Saudi Arabia
| | - Khursheed Muzammil
- Department of Public Health, College of Applied Medical Sciences, Khamis Mushayt Campus, King Khalid University (KKU), Abha, Saudi Arabia
| | - Abdullah Ali Saati
- Department of Community Medicine & Pilgrims Healthcare, Faculty of Medicine, Umm Al-Qura University, Saudi Arabia
| | - Shadma Wahab
- Department of Pharmacognosy, College of Pharmacy, King Khalid University, Abha, 62529, Saudi Arabia
| | - Ehab Y. Elbendary
- Department of Clinical Nutrition, College of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia
| | - Nahla Kambal
- Department of Clinical Nutrition, College of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia
| | - Mohamed H. Abdelrahman
- College of Applied Medical Sciences, Medical Laboratory Sciences, Jazan University, Jazan, 45142, Saudi Arabia
| | - Sohail Hussain
- Department of Pharmacology and Toxicology, College of Pharmacy, Jazan University, Jazan, 45142, Saudi Arabia
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Rincón-Rubio A, Mérida-Ortega Á, Ugalde-Resano R, Gamboa-Loira B, Rothenberg SJ, González FB, Cebrián ME, López-Carrillo L. Carcinogenic, non-carcinogenic risk, and attributable cases to organochlorine pesticide exposure in women from Northern Mexico. ENVIRONMENTAL MONITORING AND ASSESSMENT 2024; 196:421. [PMID: 38570395 DOI: 10.1007/s10661-024-12584-4] [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: 01/15/2024] [Accepted: 03/23/2024] [Indexed: 04/05/2024]
Abstract
This study aimed to estimate the carcinogenic and non-carcinogenic risk as well as the attributable cases due to exposure to organochlorine pesticides (OCPs): hexachlorobenzene (HCB), dichlorophenyltrichloroethane (DDT), hexachlorocyclohexane (HCH), heptachlor, and chlordane. From serum concentrations of pesticides of interest in a sample of 908 women from Northern Mexico, the risk for both cancer and non-cancer health effects was evaluated. The population attributable fraction (PAF) was also calculated based on summary association estimates between exposure to OCPs and different health events. Findings revealed that due to their OCP exposure slightly less than half of the women in the sample were at increased risk of developing non-cancerous diseases. Moreover, approximately 25% and 75% of participants were at risk of develop some type of cancer associated with their HCB and DDE concentrations, respectively. In addition, it was estimated that 40.5% of type 2 diabetes, 18.7% of endometriosis, and 23.1% of non-Hodgkin's lymphoma cases could have been prevented if women had not been exposed to these OCPs. Results suggest that the use of OCPs may have contributed to the disease burden in the study area and, based on the time required for these substances to be eliminated from the body, there are probably some women who are still at elevated risk of developing diseases associated to OCPs.
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Affiliation(s)
- Alma Rincón-Rubio
- Centro de Investigación en Salud Poblacional, Instituto Nacional de Salud Pública, Col. Santa María Ahuacatitlán, Av. Universidad 655, C.P. 62100, Cuernavaca, Morelos, México
| | - Ángel Mérida-Ortega
- Centro de Investigación en Salud Poblacional, Instituto Nacional de Salud Pública, Col. Santa María Ahuacatitlán, Av. Universidad 655, C.P. 62100, Cuernavaca, Morelos, México
| | - Rodrigo Ugalde-Resano
- Centro de Investigación en Salud Poblacional, Instituto Nacional de Salud Pública, Col. Santa María Ahuacatitlán, Av. Universidad 655, C.P. 62100, Cuernavaca, Morelos, México
| | - Brenda Gamboa-Loira
- Centro de Investigación en Salud Poblacional, Instituto Nacional de Salud Pública, Col. Santa María Ahuacatitlán, Av. Universidad 655, C.P. 62100, Cuernavaca, Morelos, México
- Facultad de Medicina, Universidad Autónoma de Yucatán, Av. Itzáes 498, Colonia Centro, C.P. 97000, Mérida, Yucatán, México
| | - Stephen J Rothenberg
- Centro de Investigación en Salud Poblacional, Instituto Nacional de Salud Pública, Col. Santa María Ahuacatitlán, Av. Universidad 655, C.P. 62100, Cuernavaca, Morelos, México
| | - Fernando Bejarano González
- Red de Acción Sobre Plaguicidas y Alternativas en México, A. C. (RAPAM), Amado Nervo 23, Int. 3, Col. San Juanito, C.P. 56121, Texcoco, Estado de México, México
| | - Mariano E Cebrián
- Departamento de Toxicología, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico City, México
| | - Lizbeth López-Carrillo
- Centro de Investigación en Salud Poblacional, Instituto Nacional de Salud Pública, Col. Santa María Ahuacatitlán, Av. Universidad 655, C.P. 62100, Cuernavaca, Morelos, México.
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15
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Kouiti M, Castillo-Hermoso MÁ, Youlyouz-Marfak I, Khan KS, Thangaratinam S, Olmedo-Requena R, Zamora J, Jiménez-Moléon JJ. Persistent organic pollutant exposure as a risk factor of gestational diabetes mellitus: A systematic review and meta-analysis. BJOG 2024; 131:579-588. [PMID: 38044810 DOI: 10.1111/1471-0528.17725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 11/01/2023] [Accepted: 11/09/2023] [Indexed: 12/05/2023]
Abstract
BACKGROUND Findings related to the association between persistent organic pollutants (POPs) and gestational diabetes mellitus (GDM) are inconclusive. OBJECTIVES To estimate the strength of the association between POP exposure and GDM in a systematic review with meta-analysis. SEARCH STRATEGY MEDLINE, Scopus and Web of Science were searched until July 2023. SELECTION CRITERIA Cohort and case-control studies analysing the association between POPs and GDM. DATA COLLECTION AND ANALYSIS We assessed the risk of bias using the Quality in Prognosis Studies scale (QUIPS). Standardised mean differences were pooled using random-effect models. MAIN RESULTS Sixteen articles including 12 216 participants were selected. The risk of bias was high in four articles (25%), moderate in 11 (68.75%) and low in one (6.25%). Small mean difference between GDM cases and controls was observed for PFHpA (0.26, 95% confidence interval [CI] 0.1-0.35, I2 = 0.0%), PCB180 (0.37, 95% CI 0.19-0.56; I2 = 25.3%), BDE47 (0.23, 95% CI 0.0-0.45, I2 = 0%), BDE99 (0.36, 95% CI 0.14-0.59; I2 = 0%), BDE100 (0.42, 95% CI 0.19-0.64; I2 = 0%) and HCB (0.22, 95% CI 0.01-0.42, I2 = 39.6%). No considerable difference was observed for the rest of POPs. CONCLUSION Small mean differences between GDM cases and controls were observed for some POPs. However, evidence shows mostly moderate quality and results were heterogeneous. Improved research methodology is needed to assess POPs and GDM risk.
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Affiliation(s)
- Malak Kouiti
- Departamento de Medicina Preventiva y Salud Pública, Universidad de Granada, Granada, Spain
- Laboratory of Health Sciences and Technologies, Higher Institute of Health Sciences, Hassan First University of Settat, Settat, Morocco
| | | | - Ibtissam Youlyouz-Marfak
- Laboratory of Health Sciences and Technologies, Higher Institute of Health Sciences, Hassan First University of Settat, Settat, Morocco
| | - Khalid Saeed Khan
- Departamento de Medicina Preventiva y Salud Pública, Universidad de Granada, Granada, Spain
- Consorcio Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Shakila Thangaratinam
- Institute for Metabolism and Systems Research, University of Birmingham, Birmingham, UK
- Birmingham Women's and Children's National Health Service Foundation Trust, Birmingham, UK
| | - Rocío Olmedo-Requena
- Departamento de Medicina Preventiva y Salud Pública, Universidad de Granada, Granada, Spain
- Consorcio Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
| | - Javier Zamora
- Consorcio Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Institute for Metabolism and Systems Research, University of Birmingham, Birmingham, UK
- Birmingham Women's and Children's National Health Service Foundation Trust, Birmingham, UK
- Clinical Biostatistics Unit, Hospital Ramon y Cajal (IRYCIS), Madrid, Spain
| | - José Juan Jiménez-Moléon
- Departamento de Medicina Preventiva y Salud Pública, Universidad de Granada, Granada, Spain
- Consorcio Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
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16
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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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17
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Xie PP, Zong ZQ, Qiao JC, Li ZY, Hu CY. Exposure to pesticides and risk of colorectal cancer: A systematic review and meta-analysis. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 345:123530. [PMID: 38341063 DOI: 10.1016/j.envpol.2024.123530] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 02/03/2024] [Accepted: 02/07/2024] [Indexed: 02/12/2024]
Abstract
Colorectal cancer (CRC) is a widespread malignancy worldwide, and its relationship with pesticide exposure remains inconclusive. This study aims to elucidate the relationship between pesticide exposure and the risk of colon, rectal, or CRC, focusing on specific pesticide groups. We conducted an extensive literature search for peer-reviewed studies published up to March 31, 2023. Summary risk ratios (RR) and their corresponding 95% confidence intervals (CI) were calculated using stratified random-effects meta-analyses, taking into account different types of exposure and outcomes, and various exposed populations and pesticide subgroups. This approach aimed to address the substantial heterogeneity observed across the literature. We also assessed heterogeneity and potential small-study effects to ensure the robustness of our findings. From the 50 studies included in this review, 33 contributed to the meta-analysis. Our results indicate a significant association between herbicide exposure and colon cancer in both lifetime-days (LDs) (RR = 1.20; 95% CI = 1.01-1.42) and intensity-weighted lifetime-days (IWLDs) (RR = 1.29, 95% CI = 1.12-1.49) exposure. Similarly, insecticide exposure was associated with an increased risk of colon cancer in IWLDs (RR = 1.32; 95% CI = 1.02-1.70) exposure, and rectal cancer in any versus never exposure (RR = 1.21; 95% CI = 1.07-1.36), IDs (RR = 1.86; 95% CI = 1.30-2.67) and IWLDs (RR = 1.70; 95% CI = 1.03-2.83) exposure. While these findings suggest significant associations of herbicide and insecticide exposure with colon and rectal cancer, respectively, further research is needed to explore the impact of other pesticide groups and deepen our understanding of pesticide exposure. These results have important implications for policymakers and regulators, underscoring the need for stricter supervision and regulation of pesticide use to mitigate CRC risk.
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Affiliation(s)
- Pin-Peng Xie
- Department of Clinical Medicine, The Second School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Zhi-Qiang Zong
- Department of Clinical Medicine, The Second School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Jian-Chao Qiao
- Department of Clinical Medicine, The Second School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Zhuo-Yan Li
- Department of Clinical Medicine, The Second School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Cheng-Yang Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China; Department of Humanistic Medicine, School of Humanistic Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China.
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18
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Chen T, Liu X, Zhang J, Wang L, Su J, Jing T, Xiao P. Associations of chronic exposure to a mixture of pesticides and type 2 diabetes mellitus in a Chinese elderly population. CHEMOSPHERE 2024; 351:141194. [PMID: 38218232 DOI: 10.1016/j.chemosphere.2024.141194] [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: 09/30/2023] [Revised: 01/02/2024] [Accepted: 01/10/2024] [Indexed: 01/15/2024]
Abstract
Epidemiological studies have related exposure to pesticides to increased risk of diabetes. However, few studies have evaluated the health effects of mixed pesticides exposure, especially in an elderly population. Here, we utilized gas chromatography-tandem mass spectrometry to quantify the levels of 39 pesticides in 4 categories in a Chinese elderly population. Then we used general linear models to explore the association between individual pesticide exposure and type 2 diabetes mellitus (T2DM). Restricted cubic spline (RCS) models were fitted to identify potential non-linearities between those associations. Furthermore, stratified analysis by gender was conducted to explore the gender-specific associations. Finally, we used weighted quantile sum (WQS) regression, quantile-based g computation (qgcomp), and Bayesian kernel machine regression (BKMR) to evaluate the effects of mixed exposure to 39 pesticides. The results showed that exposure to pesticides was associated with high risk of T2DM, with β-Hexachlorocyclohexane (β-BHC) and oxadiazon being the most significant independent contributors, which was pronounced among elderly women. Moreover, the association of β-BHC and oxadiazon with T2DM was linear. These indicated that it is an urgent need to take practical measures to control these harmful pesticides.
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Affiliation(s)
- Tian Chen
- State Environmental Protection Key Laboratory of the Assessment of Effects of Emerging Pollutants on Environmental and Human Health, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China; Department of Environmental Health, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Xiaohua Liu
- Shanghai Minhang Center for Disease Control and Prevention, Shanghai, China
| | - Jianghua Zhang
- State Environmental Protection Key Laboratory of the Assessment of Effects of Emerging Pollutants on Environmental and Human Health, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China; Department of Environmental Health, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Lulu Wang
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Jin Su
- State Environmental Protection Key Laboratory of the Assessment of Effects of Emerging Pollutants on Environmental and Human Health, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China; Department of Environmental Health, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Tao Jing
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
| | - Ping Xiao
- State Environmental Protection Key Laboratory of the Assessment of Effects of Emerging Pollutants on Environmental and Human Health, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
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19
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Sagheer U, Al-Kindi S, Abohashem S, Phillips CT, Rana JS, Bhatnagar A, Gulati M, Rajagopalan S, Kalra DK. Environmental Pollution and Cardiovascular Disease: Part 2 of 2: Soil, Water, and Other Forms of Pollution. JACC. ADVANCES 2024; 3:100815. [PMID: 38939394 PMCID: PMC11198458 DOI: 10.1016/j.jacadv.2023.100815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 11/21/2023] [Indexed: 06/29/2024]
Abstract
With a growing body of evidence that now links environmental pollution to adverse cardiovascular disease (CVD) outcomes, pollution has emerged as an important risk factor for CVD. There is thus an urgent need to better understand the role of pollution in CVD, key pathophysiological mechanisms, and to raise awareness among health care providers, the scientific community, the general population, and regulatory authorities about the CV impact of pollution and strategies to reduce it. This article is part 2 of a 2-part state-of-the-art review on the topic of pollution and CVD-herein we discuss major environmental pollutants and their effects on CVD, highlighting pathophysiological mechanisms, and strategies to reduce CVD risk.
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Affiliation(s)
- Usman Sagheer
- Division of Cardiology, Department of Medicine, University of Louisville, Louisville, Kentucky, USA
| | - Sadeer Al-Kindi
- Division of Cardiology, Department of Medicine, University Hospitals, Harrington Heart and Vascular Institute, Case Western Reserve University, Cleveland, Ohio, USA
| | - Shady Abohashem
- Divison of Cardiovascular Imaging, Radiology Department, Massachusetts General Hospital-Harvard Medical School, Boston, Massachusetts, USA
| | - Colin T. Phillips
- Department of Cardiology, Maine Medical Center, Portland, Maine, USA
| | - Jamal S. Rana
- The Permanente Medical Group, Department of Cardiology, Oakland Medical Center, Oakland, California, USA
| | - Aruni Bhatnagar
- Division of Environmental Medicine, Department of Medicine, University of Louisville, Louisville, Kentucky, USA
| | - Martha Gulati
- Department of Cardiology, Barbra Streisand Women's Heart Center, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Sanjay Rajagopalan
- Division of Cardiology, Department of Medicine, University Hospitals, Harrington Heart and Vascular Institute, Case Western Reserve University, Cleveland, Ohio, USA
| | - Dinesh K. Kalra
- Division of Cardiology, Department of Medicine, University of Louisville, Louisville, Kentucky, USA
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20
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Peng FJ, Lin CA, Wada R, Bodinier B, Iglesias-González A, Palazzi P, Streel S, Guillaume M, Vuckovic D, Chadeau-Hyam M, Appenzeller BMR. Association of hair polychlorinated biphenyls and multiclass pesticides with obesity, diabetes, hypertension and dyslipidemia in NESCAV study. JOURNAL OF HAZARDOUS MATERIALS 2024; 461:132637. [PMID: 37788552 DOI: 10.1016/j.jhazmat.2023.132637] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 09/11/2023] [Accepted: 09/25/2023] [Indexed: 10/05/2023]
Abstract
Obesity, diabetes, hypertension and dyslipidemia are well-established risk factors for cardiovascular diseases (CVDs), and have been associated with exposure to persistent organic pollutants. However, studies have been lacking as regards effects of non-persistent pesticides on CVD risk factors. Here, we investigated whether background chronic exposure to polychlorinated biphenyls (PCBs) and multiclass pesticides were associated with the prevalence of these CVD risk factors in 502 Belgian and 487 Luxembourgish adults aged 18-69 years from the Nutrition, environment and cardiovascular health (NESCAV) study 2007-2013. We used hair analysis to evaluate the chronic internal exposure to three PCBs, seven organochlorine pesticides (OCs) and 18 non-persistent pesticides. We found positive associations of obesity with hexachlorobenzene (HCB), β-hexachlorocyclohexane (β-HCH) and chlorpyrifos, diabetes with pentachlorophenol (PCP), fipronil and fipronil sulfone, hypertension with PCB180 and chlorpyrifos, and dyslipidemia with diflufenican and oxadiazon, among others. However, we also found some inverse associations, such as obesity with PCP, diabetes with γ-HCH, hypertension with diflufenican, and dyslipidemia with chlorpyrifos. These results add to the existing evidence that OC exposure may contribute to the development of CVDs. Additionally, the present study revealed associations between CVD risk factors and chronic environmental exposure to currently used pesticides such as organophosphorus and pyrethroid pesticides.
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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
| | - Chia-An Lin
- MRC/PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Rin Wada
- MRC/PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Barbara Bodinier
- MRC/PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Alba Iglesias-González
- 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
| | - Sylvie Streel
- Public Health Sciences Department, University of Liege, Liège, Belgium
| | - Michèle Guillaume
- Public Health Sciences Department, University of Liege, Liège, Belgium
| | - Dragana Vuckovic
- MRC/PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Marc Chadeau-Hyam
- MRC/PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - 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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21
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Weiss MC, Wang L, Sargis RM. Hormonal Injustice: Environmental Toxicants as Drivers of Endocrine Health Disparities. Endocrinol Metab Clin North Am 2023; 52:719-736. [PMID: 37865484 PMCID: PMC10929240 DOI: 10.1016/j.ecl.2023.05.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2023]
Abstract
The toll of multiple endocrine disorders has increased substantially in recent decades, and marginalized populations bear a disproportionate burden of disease. Because of the significant individual and societal impact of these conditions, it is essential to identify and address all modifiable risk factors contributing to these disparities. Abundant evidence now links endocrine dysfunction with exposure to endocrine-disrupting chemicals (EDCs), with greater exposures to multiple EDCs occurring among vulnerable groups, such as racial/ethnic minorities, those with low incomes, and others with high endocrine disease burdens. Identifying and eliminating EDC exposures is an essential step in achieving endocrine health equity.
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Affiliation(s)
- Margaret C Weiss
- School of Public Health, University of Illinois at Chicago, 1603 West Taylor Street, Chicago, IL 60612, USA; College of Medicine, University of Illinois at Chicago, 1853 West Polk Street, Chicago, IL 60612, USA; Division of Endocrinology, Diabetes, and Metabolism, University of Illinois at Chicago, 835 South Wolcott, Suite E625, M/C 640, Chicago, IL 60612, USA
| | - Luyu Wang
- College of Medicine, University of Illinois at Chicago, 1853 West Polk Street, Chicago, IL 60612, USA; Division of Endocrinology, Diabetes, and Metabolism, University of Illinois at Chicago, 835 South Wolcott, Suite E625, M/C 640, Chicago, IL 60612, USA
| | - Robert M Sargis
- College of Medicine, University of Illinois at Chicago, 1853 West Polk Street, Chicago, IL 60612, USA; Division of Endocrinology, Diabetes, and Metabolism, University of Illinois at Chicago, 835 South Wolcott, Suite E625, M/C 640, Chicago, IL 60612, USA; Chicago Center for Health and Environment, School of Public Health, University of Illinois at Chicago, 1603 West Taylor Street, Chicago, IL 60612, USA; Section of Endocrinology, Diabetes, and Metabolism, Jesse Brown Veterans Affairs Medical Center, 820 South Damen, Chicago, IL 60612, USA.
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22
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Xu K, Li Z, Qiao J, Wang S, Xie P, Zong Z, Hu C. Persistent organic pollutants exposure and risk of autism spectrum disorders: A systematic review and meta-analysis. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 336:122439. [PMID: 37619697 DOI: 10.1016/j.envpol.2023.122439] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 08/09/2023] [Accepted: 08/21/2023] [Indexed: 08/26/2023]
Abstract
Accumulating number of epidemiological studies has recently proposed that improvement in the risk of autism spectrum disorders (ASD) is associated with persistent organic pollutants (POPs) exposure. However, evidence from current researches is limited and inconsistent. Thus, we conducted a systematic review and meta-analysis to investigate the potential associations comprehensively. We systematically and extensively searched two electronic databases (PubMed and EMBASE) from inception to July 3, 2022 and an updated search was performed before submission. Summary odds ratios (ORs) and 95% confidence intervals (CIs) were derived from stratified random-effects meta-analyses by type of exposure and outcome. We also tested the potential heterogeneity across studies, conducted sensitivity analysis and evaluated publication bias. A total of 20 studies were finally included in our study. Meta-analytical effect estimates indicated a positive association between prenatal exposure to PCB-138, PCB-153 and PCB-170 and an increased risk of ASD, with OR of 1.89 (95% CI = 1.21-2.95, I2 = 0%), 1.61 (95% CI = 1.05-2.47, I2 = 0%) and 1.46 (95% CI = 1.03-2.06, I2 = 0%) respectively. In contrast, PFDA was found inversely associated with the risk of ASD (OR = 0.70, 95% CI = 0.52-0.94, I2 = 0%). The level of evidence supporting a link between ASD risk and exposure to PCB-138, PCB-153, PCB-170, and PFDA was respectively categorized as low, low, moderate, and low. In summary, this systematic review and meta-analysis suggest that exposure to PCB-138, PCB-153, and PCB-170 correlates with a heightened risk of ASD, with evidence levels rated as "low", "low", and "moderate", respectively. In contrast, PFDA exposure appears to be inversely associated with ASD risk, with a "low" level of supporting evidence. However, due to the limited number of studies available for each exposure and outcome pairing, these results should be interpreted with caution. Sufficiently powered studies are needed to validate our findings.
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Affiliation(s)
- Kexin Xu
- Department of Clinical Medicine, The Second School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Zhuoyan Li
- Department of Clinical Medicine, The Second School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Jianchao Qiao
- Department of Clinical Medicine, The Second School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Senzheng Wang
- Department of Clinical Medicine, The Second School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Pinpeng Xie
- Department of Clinical Medicine, The Second School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Zhiqiang Zong
- Department of Clinical Medicine, The Second School of Clinical Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China
| | - Chengyang Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China; Department of Humanistic Medicine, School of Humanistic Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China.
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23
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Guo X, Wang H, Song Q, Li N, Liang Q, Su W, Liang M, Ding X, Sun C, Lowe S, Sun Y. Association between exposure to organophosphorus pesticides and the risk of diabetes among US Adults: Cross-sectional findings from the National Health and Nutrition Examination Survey. CHEMOSPHERE 2022; 301:134471. [PMID: 35367493 DOI: 10.1016/j.chemosphere.2022.134471] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 03/26/2022] [Accepted: 03/28/2022] [Indexed: 06/14/2023]
Abstract
OBJECTIVE Organophosphorus pesticides (OPPs) are commonly used pesticides across the world, however there is little epidemiological evidence linking their exposure to diabetes. Hence, this study aimed at investigating the effect of OPP exposure on the prevalence of diabetes in American adults. METHODS Adults (≥20 years old) were eligible for this study from the National Health and Nutrition Examination Survey (NHANES). Multivariate logistic regression model was employed to explore the associations of six main urinary OPPs metabolites with diabetes. Subgroup analyses were performed by age and gender. Combined effect of OPPs metabolites on the overall association with diabetes was evaluated by weighted quantile sum regression (WQS). Furthermore, Bayesian kernel machine regression (BKMR) model was implemented to explore joint effect of multiple OPPs metabolites on diabetes. RESULTS Ultimately, 6,593 adults were included in our analysis. Of them, 1,044 participants were determined as diabetes patients. The results of logistic regression shown that urinary OPPs metabolites concentrations, whether taken as continuous variables or quantiles, were in positive correlation with diabetes. Notably, the p for trend of diethylphosphate (DEP), a kind of OPPs metabolites, was less than 0.05 indicated that a linear trend may exist between levels of DEP and prevalence of diabetes among adults while this trend was not obversed in other OPPs metabolites. In the WQS model, combined exposure of OPPs metabolites had a significantly positive association with diabetes (OR: 1.057; 95% CI: 1.002, 1.114) and diethylphosphate (36.84%) made the largest contributor to the WQS index. The result of BKMR also suggested a positive trend of association between mixed OPPs metabolites and diabetes. CONCLUSION Our results add credibility to the argument that OPP exposure might trigger diabetes. Certainly, prospective data are required to corroborate our findings.
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Affiliation(s)
- Xianwei Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Hao Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Qiuxia Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Ning Li
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Qiwei Liang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Wanying Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Mingming Liang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Xiuxiu Ding
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Chenyu Sun
- Internal Medicine, AMITA Health Saint Joseph Hospital Chicago, 2900 N. Lake Shore Drive, Chicago, IL, 60657, USA
| | - Scott Lowe
- College of Osteopathic Medicine, Kansas City University, 1750 Independence Ave, Kansas City, MO, 64106, USA
| | - Yehuan Sun
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, PR China; Chaohu Hospital, Anhui Medical University, Hefei, 238000, Anhui, PR China.
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24
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Yipei Y, Zhilin L, Yuhong L, Meng W, Huijun W, Chang S, Yan H. Assessing the risk of diabetes in participants with DDT DDE exposure- A systematic review and meta-analysis. ENVIRONMENTAL RESEARCH 2022; 210:113018. [PMID: 35227676 DOI: 10.1016/j.envres.2022.113018] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 02/20/2022] [Accepted: 02/22/2022] [Indexed: 06/14/2023]
Abstract
We have performed a systematic review and meta-analysis of the association between DDT/DDE and diabetes, searching PubMed, Embase, and Cochrane for relevant articles published up to August 30, 2021, and eventually including 43 publications. Our researchers evaluate included studies' quality and risk of bias via the recommended tool. This study uses meta-analyses of random effects of each exposure and outcome to estimate combined odds ratios (ORs) and 95% confidence intervals (CIs). Our research identified 43 cross-sectional, case-control, and cohort studies, including 40,141 individuals in America, Europe, Asia, and Africa. The summary ORs (95% CIs) of incident diabetes were 1.61 (1.10-2.39) for DDT, 1.67 (1.41-1.98) for DDE. The subgroup analysis indicated that the association is significantly higher in the region of Asia for both DDT (OR = 2.73) and DDE (OR = 2.62). Besides, we also tried various types of stratification to identify the more influential confounding factors, among which regional factors have a significant influence. Study evidence suggests that exposure to DDT and its breakdown product, DDE, might be associated with the risk of incident diabetes. Among Asian patients, DDT/DDE concentrations are more closely associated with diabetes. Further studies in specific regions will be considered in the future.
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Affiliation(s)
- Yu Yipei
- Peking University Health Science Center, China.
| | - Liu Zhilin
- Peking University Health Science Center, China.
| | - Lu Yuhong
- Peking University Health Science Center, China.
| | | | - Wang Huijun
- Chinese Center for Disease Control and Prevention National Institute for Nutrition and Health Key Laboratory of Trace Element Nutrition, National Health Commission of the People's Republic of China, China.
| | - Su Chang
- Chinese Center for Disease Control and Prevention National Institute for Nutrition and Health Key Laboratory of Trace Element Nutrition, National Health Commission of the People's Republic of China, China.
| | - Hou Yan
- Peking University Health Science Center, China.
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Chen H, Liang X, Chen L, Zuo L, Chen K, Wei Y, Chen S, Hao G. Associations Between Household Pesticide Exposure, Smoking and Hypertension. Front Public Health 2022; 10:754643. [PMID: 35273934 PMCID: PMC8902065 DOI: 10.3389/fpubh.2022.754643] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 01/24/2022] [Indexed: 12/14/2022] Open
Abstract
This analysis aims to investigate the association between household pesticide exposure and hypertension risk, and to determine whether smoking plays a role in this association. We used data from the National Health and Nutrition Examination Survey (NHANES) for the years 1999-2014, including a total of 32,309 U.S. adult participants who were 20 years or older. Smoking status and pesticide exposure were self-reported. Blood pressure was measured by trained personnel using a mercury sphygmomanometer, according to a standardized protocol. We observed an increased risk of hypertension (OR [odds ratio] = 1.10, 95% confidence intervals [CI]: 1.01-1.18) in participants with exposure to household pesticides. Moreover, a significant interaction between smoking status and pesticide exposure on hypertension was observed (P = 0.022). Stratified analysis showed that household pesticide exposure was associated with a 29% higher risk of hypertension (OR = 1.29, 95% CI: 1.08-1.53) in smokers. However, for non-smokers, this association was not significant. Similar trends were found for systolic and diastolic blood pressures. In addition, we investigated the associations between pesticide metabolites in urine/serum and hypertension and found that several metabolites of dioxins, furans, and coplanar polychlorinated biphenyls were significantly associated with a higher risk of hypertension. This study suggests that household pesticide exposure is associated with an elevated risk of hypertension. We also report that smoking may accentuate the effect of pesticide exposure on hypertension.
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Affiliation(s)
- Haiyan Chen
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Xiaohua Liang
- Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, Clinical Epidemiology and Biostatistics Department, Children's Hospital of Chongqing Medical University, Chongqing, China
- Key Laboratory of Pediatrics in Chongqing, Chongqing, China
- China International Science and Technology Cooperation Center of Child Development and Critical Disorders, Chongqing, China
| | - Li Chen
- Department of Medicine, Georgia Prevention Institute, Medical College of Georgia, Augusta University, Augusta, GA, United States
| | - Lei Zuo
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Kuncai Chen
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Yuehong Wei
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Shouyi Chen
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Guang Hao
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
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