Evaluation of genotoxic effects in Brazilian agricultural workers exposed to pesticides and cigarette smoke using machine-learning algorithms

Tomiazzi, Jamile Silveira; Judai, Meire Aparecida; Nai, Gisele Alborghetti; Pereira, Danillo Roberto; Antunes, Pedro; Favareto, Ana Paula Alves

doi:10.1007/s11356-017-0496-y

Cited by 30 publications

(14 citation statements)

References 54 publications

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“…Analyzing the collected samples a statistically significant increase of the number of micronuclei is observed in smoker office employees in relation to non-smoker ones indicating the contribution of smoking habit to DNA induced damage. This observation is compatible with previously reported data [44] [45] [46] [47]. In the meantime buccal epithelium appears to be affected by smoking.…”

Section: Discussionsupporting

confidence: 93%

Evaluation of Genetic Damage to Workers in a Nickel Smelting Industry

Thanasias¹,

Koutsoumplias²,

Vlastos³

et al. 2019

ODEM

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Objectives: Occupational exposure to nickel is affecting millions of employees around the world. Potential alterations in the genetic material of workers in the mining and processing of nickel, possibly resulting from exposure to nickel in the production process, were investigated. The study focused on assessing the percentage of induced micronuclei, as well as on changes in the various cell types of oral mucosa epithelium. Methods: The buccal micronucleus assay was employed to assess possible induced genetic alterations to production line workers in comparison to office employees of the same nickel mining and pyrometalurgic processing industry. Subjects were also compared with regard to their smoking habit. Results: Very low soluble nickel levels were measured in certain workplaces and only in one workplace insoluble nickel was above the acceptable level. Statistically significant micronuclei differences among smokers and non-smokers, in both study groups as well as in total, were observed (p less than 0.01). Production line workers appeared with statistically significant induced micronuclei compared to office employees. Non-smoker production line workers compared to non-smoker office employees revealed statistically significant induced micronuclei. Statistically significant cell lesions were detected between non-smokers and smokers among office employees and production line workers documenting Ni engagement in their induction. Conclusions: The observed frequencies of micronuclei and cell lesions in the oral mucosa of workers, in certain positions of the production line, in relation to their smoking habit document the synergistic effect of Ni and cigarette smoking as effectors in their induction.

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Section: Discussionsupporting

confidence: 93%

Evaluation of Genetic Damage to Workers in a Nickel Smelting Industry

Thanasias¹,

Koutsoumplias²,

Vlastos³

et al. 2019

ODEM

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“…In addition, we observed a significant increase in the score of 4 (greater damage) in the comet assay in all exposed groups, except in the group exposed to low oral concentration of 2,4-D, regardless of the route of exposure. Previous studies with long-term human exposure to pesticides have shown an increase in the tail length of comets in the exposed groups (Ali et al, 2018) and an increase in the number of micronuclei in exfoliated oral epithelial cells (Tomiazzi et al, 2018). Although it was not statistically significant, we observed a slight increase in micronucleus number in acute exposure of animals exposed to high concentration in the 72 hr interval but with damage recovery after 192 hr of exposure.…”

Section: Discussioncontrasting

confidence: 65%

“…Recognition pattern is one of the most prominent functions in Artificial Intelligence (Papa et al, 2012). Different studies have shown the effectiveness of using machine learning in the biological and medical fields (Yılmaz et al, 2016;Tomiazzi et al, 2018;Vieira et al, 2019). The evaluation of data made through machine learning, makes the analysis non-subjective, which can happen in relation to statistical analysis.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of genotoxicity after acute and chronic exposure to 2,4-dichlorophenoxyacetic acid herbicide (2,4-D) in rodents using machine learning algorithms

et al. 2020

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-2,4-Dichlorophenoxyacetic acid (2,4-D) is one of the most widely used herbicides in the world, but its mutagenic and carcinogenic potential is still controversial. We simulated environmental exposure to 2,4-D, with the objective of evaluating the genotoxic effect of acute and chronic exposure to 2,4-D in rodents. We also evaluated the performance of machine learning algorithms in detecting differences in exposure groups through recognition performed from genotoxic characteristics. In the acute phase, 88 Swiss mice were used, distributed in five groups and exposed to nebulizations at different time intervals (24, 48, 72 and 192 hr). In the chronic phase, 88 Wistar rats were used, distributed in two groups (inhaled and oral) and exposed for six months. Femoral bone marrow cells were collected for a micronucleus test and comet assay. Data were evaluated by pattern recognition algorithms. In acute exposure, medium and high concentrations induced DNA damage in the comet assay, but these concentrations did not increase micronucleated cells. In the chronic exposure, there was an increase in micronuclei and DNA damage in the comet assay in all exposed groups regardless of the exposure route. The data showed a robust pattern of distinction between exposed and nonexposed groups to 2,4-D. Our data showed that both acute inhalation exposure and chronic oral and inhalation exposure to 2,4-D can cause genotoxic effects regardless of concentration. Machine learning showed a clear distinction between the control groups and those exposed to 2,4-D, and the effects of exposure are not concentration-dependent.

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“…For example, Cepeda et al ( 2020 ) warn that even though the factors associated with the development of the cancer are discussed, data on cancer types and their frequency are often lacking. It is important to note here that the monitoring of exposure to xenobiotics, such as pesticides, using biomarkers like the micronucleus test, is an essential tool for the early detection and prevention of diseases such as oral cancer (Tomiazzi et al 2018 ). Another factor limiting the conclusions of a toxicological or genotoxic analysis is the timing of the testing, which means that it may not always be possible to link the results with the specific components of a pesticide, which is an important question, given that the mixing of pesticides is a common practice (Hutter et al 2020 ; Ramos et al 2021 ).…”

Section: Discussionmentioning

confidence: 99%

Cancer and occupational exposure to pesticides: a bibliometric study of the past 10 years

Pedroso

Benvindo‐Souza

Nascimento

et al. 2021

Environ Sci Pollut Res

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Graphical abstract Occupational exposure to pesticides has been identified as a major trigger of the development of cancer. Pesticides can cause intoxication in the individuals who manipulate them through either inhalation, ingestion, or dermal contact. Given this, we investigated the association between the incidence of cancer and occupational exposure to pesticides through a bibliometric analysis of the studies published between 2011 and 2020, based on 62 papers selected from the Scopus database. The results indicated an exponential increase in the number of studies published over the past decade, with most of the research being conducted in the USA, France, India, and Brazil, although a further 17 nations were also involved in the research on the association between cancer and pesticides. The principal classes of pesticides investigated in relation to their role in intoxication and cancer were insecticides, herbicides, and fungicides. The types of cancer reported most frequently were multiple myeloma, bladder cancer, non-Hodgkin’s lymphoma, prostate cancer, leukemia, and breast cancer. Despite the known association between pesticides and cancer, studies are still relatively scarce in comparison with the global scale of the use of these xenobiotic substances, which is related to the increasing demand for agricultural products throughout the world. Supplementary Information The online version contains supplementary material available at 10.1007/s11356-021-17031-2.

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Evaluation of genotoxic effects in Brazilian agricultural workers exposed to pesticides and cigarette smoke using machine-learning algorithms

Cited by 30 publications

References 54 publications

Evaluation of Genetic Damage to Workers in a Nickel Smelting Industry

Evaluation of Genetic Damage to Workers in a Nickel Smelting Industry

Evaluation of genotoxicity after acute and chronic exposure to 2,4-dichlorophenoxyacetic acid herbicide (2,4-D) in rodents using machine learning algorithms

Cancer and occupational exposure to pesticides: a bibliometric study of the past 10 years

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