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Parks CG, Costenbader KH. The Exposome: What Is It, Really, and Does it Help to Understand Environmental Influences on Human Health and Rheumatic Disease? Arthritis Rheumatol 2024; 76:839-841. [PMID: 38282549 DOI: 10.1002/art.42816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 01/23/2024] [Accepted: 01/25/2024] [Indexed: 01/30/2024]
Affiliation(s)
- Christine G Parks
- National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina
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Lanata CM, Taylor KE, Hurst-Hopf J, Nititham J, Blazer A, Trupin L, Katz P, Dall’Era M, Yazdany J, Chung SA, Abrahamsson D, Gerona R, Criswell LA. Screening of Environmental Chemicals to Characterize Exposures in Participants With Systemic Lupus Erythematosus. Arthritis Rheumatol 2024; 76:905-918. [PMID: 38129991 PMCID: PMC11136608 DOI: 10.1002/art.42779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 11/30/2023] [Accepted: 12/12/2023] [Indexed: 12/23/2023]
Abstract
OBJECTIVE There is a need to characterize exposures associated with the pathogenesis of systemic lupus erythematosus (SLE). In this pilot study, we explore a hypothesis-free approach that can measure thousands of exogenous chemicals in blood ("exposome") in patients with SLE and unaffected controls. METHODS This cross-sectional study analyzed a cohort of patients with prevalent SLE (n = 285) and controls (n = 106). Plasma was analyzed by liquid chromatography-quadrupole time-of-flight mass spectrometry (LC-QTOF/MS). Mass spectrometry features present in at least 25% of all samples were selected for association analysis (n = 2,737). Features were matched to potential chemicals using available databases. Association analysis of abundances of features with SLE status was performed, adjusting for age and sex. We also explored features associated with SLE phenotypes, sociodemographic factors, and current medication use. RESULTS We found 30 features significantly associated with SLE status (Bonferroni P < 0.05). Of these, seven matched chemical names based on databases. These seven features included phthalate metabolites, a formetanate metabolite, and eugenol. The abundance of acid pesticides differed between patients with SLE and controls (Bonferroni P < 0.05). Two unmatched features were associated with a history of lupus nephritis, and one with anti-double-stranded DNA antibody production (Bonferroni P < 0.05). Seventeen features varied by self-reported race and ethnicity, including a polyfluoroalkyl substance (analysis of variance P < 1.69 × 10-5). Eleven features correlated with antimalarials, 6 with mycophenolate mofetil, and 29 with prednisone use. CONCLUSION This proof-of-concept study demonstrates that LC-QTOF/MS is a powerful tool that agnostically detects circulating exogenous compounds. These analyses can generate hypotheses of disease-related exposures for future prospective, longitudinal studies.
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Affiliation(s)
- Cristina M. Lanata
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD USA
| | - Kimberly E. Taylor
- Russell/Engelman Rheumatology Research Center, Division of Rheumatology, Department of Medicine, University of California, San Francisco USA
| | | | - Joanne Nititham
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD USA
| | - Ashira Blazer
- Weil Cornell Department of Medicine, Division of Rheumatology, Hospital for Special Surgery, New York NY USA
| | - Laura Trupin
- Russell/Engelman Rheumatology Research Center, Division of Rheumatology, Department of Medicine, University of California, San Francisco USA
| | - Patricia Katz
- Russell/Engelman Rheumatology Research Center, Division of Rheumatology, Department of Medicine, University of California, San Francisco USA
| | - Maria Dall’Era
- Russell/Engelman Rheumatology Research Center, Division of Rheumatology, Department of Medicine, University of California, San Francisco USA
| | - Jinoos Yazdany
- Russell/Engelman Rheumatology Research Center, Division of Rheumatology, Department of Medicine, University of California, San Francisco USA
| | - Sharon A. Chung
- Russell/Engelman Rheumatology Research Center, Division of Rheumatology, Department of Medicine, University of California, San Francisco USA
| | | | - Roy Gerona
- Center for Reproductive Sciences, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, USA
| | - Lindsey A. Criswell
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD USA
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Chen D, Parks CG, Hofmann JN, Beane Freeman LE, Sandler DP. Pesticide use and inflammatory bowel disease in licensed pesticide applicators and spouses in the Agricultural Health Study. ENVIRONMENTAL RESEARCH 2024; 249:118464. [PMID: 38354883 PMCID: PMC11065595 DOI: 10.1016/j.envres.2024.118464] [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: 11/22/2023] [Revised: 02/08/2024] [Accepted: 02/09/2024] [Indexed: 02/16/2024]
Abstract
BACKGROUND Pesticide exposure has been linked to some autoimmune diseases and colorectal cancer, possibly via alteration of gut microbiota or other mechanisms. While pesticides have been linked to gut dysbiosis and inflammation in animal models, few epidemiologic studies have examined pesticides in relation to inflammatory bowel disease (IBD). OBJECTIVES We evaluated use of pesticides and incident IBD in 68,480 eligible pesticide applicators and spouses enrolled in the Agricultural Health Study. METHODS Self-reported IBD cases were identified from follow-up questionnaires between enrollment (1993-1997) and 2022. We evaluated IBD incidence in relation to self-reported ever use of 50 pesticides among applicators and spouses. We also explored associations with intensity-weighted lifetime days (IWLD) of pesticide use among male applicators. Covariate-adjusted hazard ratios (HR) and 95% confidence intervals (CI) were calculated using Cox regression. RESULTS We identified 454 IBD cases, including 227 among male applicators. In analyses with applicators and spouses combined, associations were positive (HR > 1.2) for ever vs. never use of five organochlorine insecticides, three organophosphate insecticides, one fungicide, and five herbicides. HRs were highest for dieldrin (HR = 1.59, 95%CI: 1.03, 2.44), toxaphene (HR = 1.61, 95%CI: 1.17, 2.21), parathion (HR = 1.42, 95%CI: 1.03, 1.95), and terbufos (HR = 1.53, 95%CI: 1.19, 1.96). We had limited power in many IWLD of pesticide use analyses and did not find clear evidence of exposure-response trends; however, we observed elevated HRs in all tertiles of IWLD use of terbufos compared to never use (T1 vs. never use HR = 1.52, 95%CI: 1.03, 2.24; T2 vs. never use HR = 1.53, 95%CI: 1.04, 2.26; T3 vs. never use HR = 1.51, 95%CI: 1.03, 2.23). CONCLUSIONS Exposure to specific pesticides was associated with elevated hazards of IBD. These findings may have public health importance given the widespread use of pesticides and the limited number of known modifiable environmental risk factors for IBD.
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Affiliation(s)
- Dazhe Chen
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Christine G Parks
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Jonathan N Hofmann
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, USA
| | - Laura E Beane Freeman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, USA
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA.
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Dalton KR, Lee M, Wang Z, Zhao S, Parks CG, Beane-Freeman LE, Motsinger-Reif AA, London SJ. Occupational farm work activities influence workers' indoor home microbiome. ENVIRONMENTAL RESEARCH 2024; 243:117819. [PMID: 38052359 PMCID: PMC10872285 DOI: 10.1016/j.envres.2023.117819] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 11/10/2023] [Accepted: 11/27/2023] [Indexed: 12/07/2023]
Abstract
BACKGROUND Farm work entails a heterogeneous mixture of exposures that vary considerably across farms and farmers. Farm work is associated with various health outcomes, both adverse and beneficial. One mechanism by which farming exposures can impact health is through the microbiome, including the indoor home environment microbiome. It is unknown how individual occupational exposures shape the microbial composition in workers' homes. OBJECTIVES We investigated associations between farm work activities, including specific tasks and pesticide use, and the indoor microbiome in the homes of 468 male farmers. METHODS Participants were licensed pesticide applicators, mostly farmers, enrolled in the Agricultural Lung Health Study from 2008 to 2011. Vacuumed dust from participants' bedrooms underwent whole-genome shotgun sequencing for indoor microbiome assessment. Using questionnaire data, we evaluated 6 farm work tasks (processing of either hay, silage, animal feed, fertilizer, or soy/grains, and cleaning grain bins) and 19 pesticide ingredients currently used in the past year, plus 7 banned persistent pesticide ingredients ever used. RESULTS All 6 work tasks were associated with increased microbial diversity levels, with a positive dose-response for the total number of tasks performed (P = 0.001). All tasks were associated with altered microbial compositions (weighted UniFrac P = 0.001) and with higher abundance of specific microbes, including soil-based commensal microbes such as Haloterrigena. Among the 19 pesticides, current use of glyphosate and past use of lindane were associated with increased microbial diversity (P = 0.02-0.04). Ten currently used pesticides and all 7 banned pesticides were associated with altered microbial composition (P = 0.001-0.04). Six pesticides were associated with differential abundance of certain microbes. DISCUSSION Different farm activities and exposures can uniquely impact the dust microbiome inside homes. Our work suggests that changes to the home microbiome could serve as one pathway for how occupational exposures impact the health of workers and their cohabitating family members, offering possible future intervention targets.
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Affiliation(s)
- Kathryn R Dalton
- Genomics and the Environment in Respiratory and Allergic Health Group, Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC, USA
| | - Mikyeong Lee
- Genomics and the Environment in Respiratory and Allergic Health Group, Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC, USA
| | - Ziyue Wang
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC, USA
| | - Shanshan Zhao
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC, USA
| | - Christine G Parks
- Genomics and the Environment in Respiratory and Allergic Health Group, Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC, USA
| | - Laura E Beane-Freeman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Alison A Motsinger-Reif
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC, USA
| | - Stephanie J London
- Genomics and the Environment in Respiratory and Allergic Health Group, Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC, USA.
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Dalton KR, Lee M, Wang Z, Zhao S, Parks CG, Beane-Freeman LE, Motsinger-Reif AA, London SJ. Occupational Farm Work Activities Influence Workers' Indoor Home Microbiome. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.08.17.23293194. [PMID: 37662364 PMCID: PMC10473816 DOI: 10.1101/2023.08.17.23293194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/05/2023]
Abstract
Background Farm work entails a heterogeneous mixture of exposures that vary considerably across farms and farmers. Farm work is associated with various health outcomes, both adverse and beneficial. One mechanism by which farming exposures can impact health is through the microbiome, including the indoor built environment microbiome. It is unknown how individual occupational exposures shape the microbial composition in workers' homes. Objectives We investigated associations between farm work activities, including specific tasks and pesticide use, and the indoor microbiome in the homes of 468 male farmers. Methods Participants were licensed pesticide applicators, mostly farmers, enrolled in the Agricultural Lung Health Study from 2008-2011. Vacuumed dust from participants' bedrooms underwent whole-genome shotgun sequencing for indoor microbiome assessment. Using questionnaire data, we evaluated 6 farm work tasks (processing of either hay, silage, animal feed, fertilizer, or soy/grains, and cleaning grain bins) and 19 pesticide ingredients currently used in the past year, plus 7 persistent banned pesticide ingredients ever used. Results All 6 work tasks were associated with increased within-sample microbial diversity, with a positive dose-response for the sum of tasks (p=0.001). All tasks were associated with altered overall microbial compositions (weighted UniFrac p=0.001) and with higher abundance of specific microbes, including soil-based microbes such as Haloterrigena. Among the 19 pesticides, only current use of glyphosate and past use of lindane were associated with increased within-sample diversity (p=0.02-0.04). Ten currently used pesticides and all 7 banned pesticides were associated with altered microbial composition (p=0.001-0.04). Six pesticides were associated with differential abundance of certain microbes. Discussion Specific farm activities and exposures can impact the dust microbiome inside homes. Our work suggests that occupational farm exposures could impact the health of workers and their families through modifying the indoor environment, specifically the microbial composition of house dust, offering possible future intervention targets.
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Affiliation(s)
- Kathryn R. Dalton
- Genomics and the Environment in Respiratory and Allergic Health Group, Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC, USA
| | - Mikyeong Lee
- Genomics and the Environment in Respiratory and Allergic Health Group, Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC, USA
| | - Ziyue Wang
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC, USA
| | - Shanshan Zhao
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC, USA
| | - Christine G. Parks
- Genomics and the Environment in Respiratory and Allergic Health Group, Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC, USA
| | - Laura E. Beane-Freeman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Alison A. Motsinger-Reif
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC, USA
| | - Stephanie J. London
- Genomics and the Environment in Respiratory and Allergic Health Group, Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC, USA
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Jiang Z, Zhuang Y, Guo S, Sohan ASMMF, Yin B. Advances in Microfluidics Techniques for Rapid Detection of Pesticide Residues in Food. Foods 2023; 12:2868. [PMID: 37569137 PMCID: PMC10417549 DOI: 10.3390/foods12152868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 07/24/2023] [Accepted: 07/26/2023] [Indexed: 08/13/2023] Open
Abstract
Food safety is a significant issue that affects people worldwide and is tied to their lives and health. The issue of pesticide residues in food is just one of many issues related to food safety, which leave residues in crops and are transferred through the food chain to human consumption. Foods contaminated with pesticide residues pose a serious risk to human health, including carcinogenicity, neurotoxicity, and endocrine disruption. Although traditional methods, including gas chromatography, high-performance liquid chromatography, chromatography, and mass spectrometry, can be used to achieve a quantitative analysis of pesticide residues, the disadvantages of these techniques, such as being time-consuming and costly and requiring specialist staff, limit their application. Therefore, there is a need to develop rapid, effective, and sensitive equipment for the quantitative analysis of pesticide residues in food. Microfluidics is rapidly emerging in a number of fields due to its outstanding strengths. This paper summarizes the application of microfluidic techniques to pyrethroid, carbamate, organochlorine, and organophosphate pesticides, as well as to commercial products. Meanwhile, the study also outlines the development of microfluidics in combination with 3D printing technology and nanomaterials for detecting pesticide residues in food.
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Affiliation(s)
- Zhuoao Jiang
- School of Mechanical Engineering, Yangzhou University, Yangzhou 225127, China; (Z.J.); (Y.Z.); (S.G.)
| | - Yu Zhuang
- School of Mechanical Engineering, Yangzhou University, Yangzhou 225127, China; (Z.J.); (Y.Z.); (S.G.)
| | - Shentian Guo
- School of Mechanical Engineering, Yangzhou University, Yangzhou 225127, China; (Z.J.); (Y.Z.); (S.G.)
| | - A. S. M. Muhtasim Fuad Sohan
- Faculty of Engineering, Department of Mechanical Engineering, The University of Adelaide, Adelaide, SA 5000, Australia;
| | - Binfeng Yin
- School of Mechanical Engineering, Yangzhou University, Yangzhou 225127, China; (Z.J.); (Y.Z.); (S.G.)
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Nasr Z, Schoeps VA, Ziaei A, Virupakshaiah A, Adams C, Casper TC, Waltz M, Rose J, Rodriguez M, Tillema JM, Chitnis T, Graves JS, Benson L, Rensel M, Krupp L, Waldman AT, Weinstock-Guttman B, Lotze T, Greenberg B, Aaen G, Mar S, Schreiner T, Hart J, Simpson-Yap S, Mesaros C, Barcellos LF, Waubant E. Gene-environment interactions increase the risk of paediatric-onset multiple sclerosis associated with household chemical exposures. J Neurol Neurosurg Psychiatry 2023; 94:518-525. [PMID: 36725329 PMCID: PMC10272045 DOI: 10.1136/jnnp-2022-330713] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 01/13/2023] [Indexed: 02/03/2023]
Abstract
BACKGROUND We previously reported an association between household chemical exposures and an increased risk of paediatric-onset multiple sclerosis. METHODS Using a case-control paediatric multiple sclerosis study, gene-environment interaction between exposure to household chemicals and genotypes for risk of paediatric-onset multiple sclerosis was estimated.Genetic risk factors of interest included the two major HLA multiple sclerosis risk factors, the presence of DRB1*15 and the absence of A*02, and multiple sclerosis risk variants within the metabolic pathways of common household toxic chemicals, including IL-6 (rs2069852), BCL-2 (rs2187163) and NFKB1 (rs7665090). RESULTS 490 paediatric-onset multiple sclerosis cases and 716 controls were included in the analyses. Exposures to insect repellent for ticks or mosquitos (OR 1.47, 95% CI 1.06 to 2.04, p=0.019), weed control products (OR 2.15, 95% CI 1.51 to 3.07, p<0.001) and plant/tree insect or disease control products (OR 3.25, 95% CI 1.92 to 5.49, p<0.001) were associated with increased odds of paediatric-onset multiple sclerosis. There was significant additive interaction between exposure to weed control products and NFKB1 SNP GG (attributable proportions (AP) 0.48, 95% CI 0.10 to 0.87), and exposure to plant or disease control products and absence of HLA-A*02 (AP 0.56; 95% CI 0.03 to 1.08). There was a multiplicative interaction between exposure to weed control products and NFKB1 SNP GG genotype (OR 2.30, 95% CI 1.00 to 5.30) but not for other exposures and risk variants. No interactions were found with IL-6 and BCL-2 SNP GG genotypes. CONCLUSIONS The presence of gene-environment interactions with household toxins supports their possible causal role in paediatric-onset multiple sclerosis.
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Affiliation(s)
- Zahra Nasr
- UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, California, USA
| | - Vinicius Andreoli Schoeps
- UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, California, USA
| | - Amin Ziaei
- UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, California, USA
| | - Akash Virupakshaiah
- UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, California, USA
| | - Cameron Adams
- Genetic Epidemiology and Genomics Laboratory, Divisions of Epidemiology and Biostatistics, School of Public Health, University of California Berkeley, Berkeley, California, USA
| | | | - Michael Waltz
- University of Utah Health, Salt Lake City, Utah, USA
| | - John Rose
- University of Utah Health, Salt Lake City, Utah, USA
| | | | | | - Tanuja Chitnis
- Brigham and Women's Hospital, Harvard Medical school, Boston, Massachusetts, USA
| | | | - Leslie Benson
- Childrens Hospital Boston, Boston, Massachusetts, USA
| | | | - Lauren Krupp
- New York University Medical Center, New York City, New York, USA
| | - Amy T Waldman
- Division of Child Neurology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | | | - Tim Lotze
- Texas Children's Hospital, Houston, Texas, USA
| | | | - Gregory Aaen
- Loma Linda University Children's Hospital, Loma Linda, California, USA
| | - Soe Mar
- Washington University in St. Louis, St Louis, Missouri, USA
| | | | - Janace Hart
- UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, California, USA
| | - Steve Simpson-Yap
- Neuroepidemiology Unit, The University of Melbourne School of Population and Global Health, Melbourne, Carlton, Australia
- Clinical Outcomes Research Unit (CORe), Royal Melbourne Hospital, The University of Melbourne, Melbourne, Parkville, Australia
- Multiple Sclerosis Flagship, Menzies Institute for Medical Research, University of Tasmania, Tasmania, Hobart, Australia
| | - Clementina Mesaros
- Department of Systems Pharmacology and Translational Therapeutics (SPATT), University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Lisa F Barcellos
- Genetic Epidemiology and Genomics Laboratory, Divisions of Epidemiology and Biostatistics, School of Public Health, University of California Berkeley, Berkeley, California, USA
- Department of Integrative Biology, University of California Berkeley, Berkeley, California, USA
| | - Emmanuelle Waubant
- UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, California, USA
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Ramadhan Makame K, Sherif M, Östlundh L, Sándor J, Ádám B, Nagy K. Are encapsulated pesticides less harmful to human health than their conventional alternatives? Protocol for a systematic review of in vitro and in vivo animal model studies. ENVIRONMENT INTERNATIONAL 2023; 174:107924. [PMID: 37058976 DOI: 10.1016/j.envint.2023.107924] [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: 04/19/2022] [Revised: 03/30/2023] [Accepted: 04/06/2023] [Indexed: 06/19/2023]
Abstract
BACKGROUND The gradual increase in the global population has led to the rising demand for agricultural products worldwide. This required the introduction of environment- and public health-friendly advanced technologies for plant protection to guard yields from pest destruction in a sustainable way. Encapsulation technology is a promising procedure to increase the effectiveness of pesticide active ingredients while reducing human exposure and environmental impact. Despite the presumed favorable properties of encapsulated pesticide formulations on human health, it is necessary to systematically assess whether they are less harmful to human health than conventional pesticide products. OBJECTIVES We aim to systematically review the literature to answer the question of whether micro- or nano-encapsulated pesticide formulations exert different degrees of toxicity than their conventional (not-encapsulated) counterparts in in vivo animal and in vitro (human, animal, and bacterial cell) non-target models. The answer is important to estimate the possible differences in the toxicological hazards of the two different types of pesticide formulations. Because our extracted data will come from different models, we also aim to perform subgroup analyses to investigate how toxicity varies across different models. A pooled toxicity effect estimate will also be performed by meta-analysis when appropriate. METHODS The systematic review will follow the guidelines developed by the National Toxicology Program's Office of Health Assessment and Translation (NTP/OHAT). The protocol adheres to the Preferred Reporting Items for Systematic Reviews and meta-analyses Protocol (PRISMA-P) statement. PubMed (NLM), Scopus (Elsevier), Web of Science Core Collection (Clarivate), Embase (Elsevier), and Agricola (EBSCOhost) electronic databases will be comprehensively searched in September 2022 to identify eligible studies using multiple search terms of "pesticide", "encapsulation" and "toxicity" along with their synonyms and other words that are semantically related. The reference lists of all eligible articles and retrieved reviews will be manually screened to identify additional relevant papers. ELIGIBILITY CRITERIA We will include peer-reviewed experimental (non-target in vivo animal model and in vitro human, animal, and bacterial cell cultures) studies published as full-text articles in English language that simultaneously investigate the effect of any micro- or nano-encapsulated pesticide formulation, applied in all ranges of concentrations, duration, and routes of exposure, and its corresponding active ingredient(s) or its conventional non-encapsulated product formulation(s) used in the same ranges of concentrations, duration, and routes of exposure on the same pathophysiological outcome. We will exclude studies that examine pesticidal activity on target organisms, cultures of cells isolated from target organisms exposed in vivo or in vitro, and those using biological materials isolated from target organisms/cells. STUDY APPRAISAL AND SYNTHESIS Studies identified by the search will be screened and managed according to the review inclusion and exclusion criteria in the Covidence systematic review tool by two reviewers, who will also blindly extract the data and assess the risk of bias of included studies. The OHAT risk of bias tool will be applied to evaluate the quality and risk of bias in the included studies. Study findings will be synthesized narratively by important features of the study populations, design, exposure, and endpoints. If findings make it possible, a meta-analysis will be performed on identified toxicity outcomes. To rate the certainty in the body of evidence, we will use the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach.
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Affiliation(s)
- Khadija Ramadhan Makame
- Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary; Doctoral School of Health Sciences, University of Debrecen, Debrecen, Hungary
| | - Moustafa Sherif
- Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Linda Östlundh
- The National Medical Library, United Arab Emirates University, Al Ain, United Arab Emirates
| | - János Sándor
- Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Balázs Ádám
- Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Károly Nagy
- Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
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