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- Research Article Pesticide metabolite and oxidative stress in male farmers exposed to pesticide
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Kang Myoung Lee1, Sang-Yoo Park2, Kyungsuk Lee3, Sung-Soo Oh4, Sang Baek Ko4
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Annals of Occupational and Environmental Medicine 2017;29:5.
DOI: https://doi.org/10.1186/s40557-017-0162-3
Published online: February 28, 2017
1Department of Medicine, The Graduate School, Yonsei University, Seoul, South Korea
2Department of Otolaryngology Head and Neck Surgery, Wonju College of Medicine, Yonsei Unversity, Seoul, South Korea JFIF d d Ducky d qhttp://ns.adobe.com/xap/1.0/ |er˭|I|-fGK.rΛp8XV1%K6mvG+tc+qE &ǸC_Nm:l=_/m5^[dߌڇ.c<%:)tQ$Ow~-aY;UJ >=F)2[nk؆?훐 M=l6[4(O.]2#-H^n#->&mp5~Fӛ+|| S,xag% qkEUzUgæBhߕP(7]kFnq?֖Cpru Z6*rEڊtS|*tI*E}7R<,nUU֫^I7Q*mSly%rdȓd8hE<9oHhMfNSRj[i7D[Rj݊+kდq{"$$H?p \̅S?㭻;t~ R߁ )^/>Qj`yt[w ԛ;² ~+ ߔ_ YW~|o] ?x^ᯛ `ʼn;g)T@vWn]>&4l p+$D̢1l|ȨF%-} .9[}w~
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3National Academy of Agricultural Science, Rural Development Administration, Jeonju, South Korea JFIF d d Ducky d qhttp://ns.adobe.com/xap/1.0/ |er˭|I|-fGK.rΛp8XV1%K6mvG+tc+qE &ǸC_Nm:l=_/m5^[dߌڇ.c<%:)tQ$Ow~-aY;UJ >=F)2[nk؆?훐 M=l6[4(O.]2#-H^n#->&mp5~Fӛ+|| S,xag% qkEUzUgæBhߕP(7]kFnq?֖Cpru Z6*rEڊtS|*tI*E}7R<,nUU֫^I7Q*mSly%rdȓd8hE<9oHhMfNSRj[i7D[Rj݊+kდq{"$$H?p \̅S?㭻;t~ R߁ )^/>Qj`yt[w ԛ;² ~+ ߔ_ YW~|o] ?x^ᯛ `ʼn;g)T@vWn]>&4l p+$D̢1l|ȨF%-} .9[}w~
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4Department of Preventive Medicine and Institute of Occupational and Environmental Medicine, Wonju College of Medicine, Yonsei Unversity, Seoul, South Korea JFIF d d Ducky d qhttp://ns.adobe.com/xap/1.0/ |er˭|I|-fGK.rΛp8XV1%K6mvG+tc+qE &ǸC_Nm:l=_/m5^[dߌڇ.c<%:)tQ$Ow~-aY;UJ >=F)2[nk؆?훐 M=l6[4(O.]2#-H^n#->&mp5~Fӛ+|| S,xag% qkEUzUgæBhߕP(7]kFnq?֖Cpru Z6*rEڊtS|*tI*E}7R<,nUU֫^I7Q*mSly%rdȓd8hE<9oHhMfNSRj[i7D[Rj݊+kდq{"$$H?p \̅S?㭻;t~ R߁ )^/>Qj`yt[w ԛ;² ~+ ߔ_ YW~|o] ?x^ᯛ `ʼn;g)T@vWn]>&4l p+$D̢1l|ȨF%-} .9[}w~
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• Received: May 24, 2016 • Accepted: February 24, 2017
© The Author(s). 2017
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Abstract
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Background The objective of this study was to measure malondialdehyde (MDA) and isoprostane which has been used as an index of lipid injury, 8-hydroxy-2′-deoxyguanosine (8-OHdG), which has been used as an index of DNA damage, and dialkyl-phosphate (DAP), which has been used to quantify pesticide exposure, and to investigate the relationship between pesticide exposure and oxidative stress.
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Methods This study was a cross-sectional study that evaluated 84 male farmers exposure to pesticide. In this study, 8-OHdG, isoprostane, and MDA were measured as oxidative stress indices, and dialkyl-phosphate (dimethylphosphate(DMP), diethylphosphate(DEP), dimethylthiophosphate(DMTP), and diethylthiophosphate (DETP)) excreted in the urine was also measured to evaluate pesticide exposure. A linear regression analysis was performed to investigate the relationship between pesticide metabolites, and oxidative stress biomarkers.
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Results A Correlation analysis was performed for pesticide exposure month (PEI), cumulative exposure index (CEI), and DAP as well as the concentration of the oxidative stress biomarkers. The PEM significantly and positively correlated to the levels of 8-OHdG, isoprostane, CEI, and DMP. CEI showed a correlation to 8-OHdG and PEM. DMP, DEP, and DETP showed a positive correlation to 8-OHdG, isoprostane, and MDA. A correlation analysis was adjusted some demographic characteristics, such as age, smoking, drinking, and exercise to determine the relationship between pesticide exposure and oxidative stress. The 8-OHdG, isoprostane, and MDA levels were significantly related to the DMP (ß = 0.320), DEP (ß = 0.390), and DETP (ß = 0.082); DMP (ß = 0.396), DEP (ß = 0.508), and DETP (ß = 0.504); and DMP (ß = 0.432), DEP (ß = 0.508), and DETP (ß = 0.329) levels, respectively.
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Conclusions The concentration between oxidative stress biomarkers and the pesticide metabolite were a positive correlation. Indicators of oxidative stress was associated with a pesticide metabolite DMP, DEP, and DETP. Therefore, Pesticide exposure and oxidative stress were relevant.
Background
Pesticides are agricultural chemicals that protect crops and stored products, partially by exterminating harmful insects. Pesticides can be classified into several different types according to their purpose, such as insecticides, fungicides, herbicides, acaricides, rodenticides, nematicides, and plant growth regulators. Pesticides can also be classified according to chemical composition (organophosphates, organochlorines, carbamates, pyrethroids, sulfur, and urea) or powder type (emulsifier, wettable powder, soluble powder, powder, particle powder, and smoke powder).
Pesticides are extensively used throughout the world and influence the human body through long-term exposure [1, 2]. A previous study on the chronic toxicity of pesticides showed that the cognitive ability and exercise performance of children in areas sprayed with pesticides were significantly decreased compared with those of children from non-sprayed areas [3]. Pesticide exposure was also found to be significantly related to lung cancer, pancreatic cancer, colon cancer, rectal cancer, leukemia, hematologic malignancy, lymphoma, multiple myeloma, bladder cancer, prostate cancer, brain tumor, and skin cancer [4]. In particular, it has been reported that organophosphorus pesticides such as crotoxyphos, dichlorvos, famphur, diazinon, fonofos, malathion, and phorate, increased the risk of leukemia, non-Hodgkin’s lymphoma, and prostate cancer. In addition, chlorpyrifos resulted in increased lung cancer rates upon direct exposure [5].
Previous studies performed in humans and animals indicated that organophosphorus pesticides particularly caused such oxidative stress [6–9]. Organochlorine, carbamate, and pyrethroid pesticides have also show toxicity [10, 11] and oxidative stress may cause acute and chronic inflammatory diseases [12].
Malondialdehyde(MDA) and 8-iso-prostaglandin (isoprostane) are used to evaluate lipid injury, 8-hydroxy-2′-deoxyguanosine (8-OHdG) is used to evaluate protein and lipid injury. Pesticide exposure can thus be usually measured by evaluating the cholinesterase activity in the blood by sampling the blood before and after such exposure. However, this method is qualitative and not quantitative. A different method for evaluating pesticide exposure is to quantify the levels of urinary dialkyl-phosphate (DAP), which is an organophosphorus metabolite. This method shows excellent sensitivity for biological monitoring and can be used to quantitatively evaluate the pesticide exposure to the human body. The DAP detected in urine is usually metabolized as dimethylphosphate (DMP), diethylphosphate (DEP), dimethylthiophosphate (DMTP), and diethylthiophosphate (DETP). The amount of pesticide exposure can thus be quantitatively evaluated by analyzing the amount of these metabolites.
The objective of this study was to measure malondialdehyde (MDA) and isoprostane which has been used as an index of lipid injury, 8-hydroxy-2′-deoxyguanosine (8-OHdG), which has been used as an index of DNA damage, and dialkyl-phosphate (DAP), which has been used to quantify pesticide exposure, and to investigate the relationship between pesticide exposure and oxidative stress.
Methods
This study was a cross-sectional study of 104 male farmers exposure to pesticide who were selected from 126 male farmers among 290 people living in G Li of Wonju city, South Korea during the period May to August 2011. In total, 11 subjects who had stomach cancer, liver cancer, cancer of the large intestine, lung cancer, bladder cancer, type B and C hepatitis, angina pectoris, stroke, and myocardial infarction were excluded. 9 subjects who did not answer the questionnaire were also excluded. Thus, 84 subjects were selected for the urine test to oxidative stress biomarker and pesticide metabolite. The survey focused on general items (e.g., age, smoking, and drinking), pesticide-related items (e.g., spraying of pesticides, duration of spraying pesticides, days of spraying, types of pesticides, amount of pesticides, and method for spraying pesticides), items for observing compliance with regulations related to the spraying of pesticides.
8-OHdG is a promutagenic lesion in DNA that is generated in response to a number of chemicals that induce oxidative stress [13], and it is used as a biomarker of oxidative stress in DNA [14]. The measurement tool was a high-performance liquid chromatography-triple tandem mass detector (HPLC-MS/MS; Agilent 6410, Agilent). 8-OHdG was purchased from Calbiochem (CA, USA), and 2′-deoxyguanosine was purchased from Sigma (St Louis, MO, USA). 15 N5-2′-deoxyguanosine and 5′-triphosphate (15 N5-dGTP) were purchased from Martek (Columbia, MD, USA), and alkaline phosphate was purchased from Roche (Mannheim, Germany). Ammonium acetate and methyl alcohol (MeOH) were purchased from Sigma. Pre-treated urine samples were subjected to solid-phase extraction. The HPLC-MS/MS mass spectrometer was equipped with an Agilent (2.1 × 100 mm × 3.5 μm) column. Ammonium acetate and methyl alcohol were used as the mobile phase with a column flow of 0.16 mL/min. The applied injection volume was 6 μL for the quantification mode (MS SIM mode + MRM mode).
Isoprostane was used to detect lipid peroxidation in urine. The measurement tool was a high-performance liquid chromatography-triple tandem mass detector (HPLC-MS/MS; Agilent 6410, Agilent). The HPLC-MS/MS mass spectrometer was equipped with a PGC (Hypercarb, 5 μm × 150 mm × 1.0) column. Water and acetonitrile with MeOH were used as the mobile phase with a column flow of 60 mL/min. The applied injection volume was 10 μL for the quantification mode (MS SIM mode + MRM mode).
Hydrolyzing 1,1,3,3-tetramethoxypropane (TMP. 99%, Sigma) and 1.0 N HCl generated a MDA standard. Analysis was conducted with HPLC after derivatization with 2,4-DNPH. TMP (165 μl, 1 mmol) and 835 μl 1.0 N HCl were mixed and were diluted ten-fold with 1.0 N HCl. Samples were incubated at 40 °C for 30 min and 100 mM TMP hydrolysate (malondialdehyde, MDA) was added. A final level of MDA produced through hydrolysis was calculated by measuring the optical density at 245 nm and using maximum molar extinction coefficient (ℇ = 13,700). After centrifuging the urine samples at 4000 rpm for 10 min, the supernatant was isolated for analysis. Urine samples of workers were collected in polyethylene bottles from the first urination in the morning. They were kept at -85 °C until further analysis. The urinary MDA levels of each individual will be corrected according to urine creatinine values, which were measured using an automated method based on the Jaffe reaction. Analysis method was used HPLC equipment. Analysis was performed on a HPLC, Waters separation Module Alliance 2695 and Water 2487 Dual ƛ Absorbance detector equipped with a Higgins (4.6 × 250 mm × 5 μm) column. Mobile phase with a column flow of 1 ml/min was used as a acetonitrile (40%) and 20 mM K2PO4 (60%) in phosphate acid 100 μl. Injection volume was 20 μl of solution into the system and analysed under the following conditions.
Exposure to pesticides may occur while transporting, mixing, applying chemicals, through cleaning or repairing equipment. Factors affecting the level of exposure include type of activity (e.g. application, mixing), method of application (e.g. backpack, hand spray, speed sprayer), use of personal protective equipment (PPE) (e.g. gloves, respirators, face-shields, boots or overalls), and personal work habits and hygiene (e.g. changing into clean clothes or taking bath after the use of pesticide). The challenge was to incorporate these exposure modifiers into an estimation of intensity of pesticide exposure. Pesticide exposure index were used to estimate the intensity of exposure to individual pesticides using the intensity level. In the literature Dosemeci [15], there was applied to modify the intensity levels.
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\begin{document}$$ *\ \mathrm{Intensity}\ \mathrm{level} = \left(\mathrm{mixing}\ \mathrm{status} + \mathrm{application}\ \mathrm{method} + \mathrm{equipment}\ \mathrm{repair}\ \mathrm{status}\right) \times \mathrm{P}\mathrm{P}\mathrm{E} $$\end{document}* Intensity level = mixing status + application method + equipment repair status × P P E
Mixing status was a two-level variable, based on never mixing and mixed (values of 0 and 9, respectively). Application method was a six-level variable, based on does not apply, use of aerial-aircraft, application in furrow, use of boom tractor, use of backpack, use of hand spray, and speed sprayer (values of 0, 1, 2, 3, 8, 9, and 9, respectively). Status of repairing equipment was two-level variable, based on not repairing and repairing equipment (0 and 2, respectively). PPE use was categorized as an eight-level variable based on the percentage of protection during pesticide spray. The pesticide exposure and cumulative exposure index were calculated as follows:
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\begin{document}$$ *\ \mathrm{P}\mathrm{E}\mathrm{M} = \mathrm{pesticide}\ \mathrm{exposure}\ \mathrm{month} $$\end{document}* P E M = pesticide exposure month
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\begin{document}$$ \mathrm{Spraying}\ \mathrm{year} \times \mathrm{spraying}\ \mathrm{day}\ \mathrm{per}\ \mathrm{year}\ /\ 30\ \mathrm{day} $$\end{document}Spraying year × spraying day per year / 30 day
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\begin{document}$$ *\ \mathrm{C}\mathrm{E}\mathrm{I} = \mathrm{cumulative}\ \mathrm{exposure}\ \mathrm{index} $$\end{document}* C E I = cumulative exposure index
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\begin{document}$$ \mathrm{Intensity}\ \mathrm{level} \times \mathrm{spraying}\ \mathrm{year} \times \mathrm{spraying}\ \mathrm{day}\ \mathrm{per}\ \mathrm{year} $$\end{document}Intensity level × spraying year × spraying day per year
Organophosphorous pesticides were analyzed as metabolites of pesticides. When organophosphorous pesticide exposure occurs, it is metabolized via dealkylation, hydrolysis, and isomerization. Dialkyl-phosphate (DAP) in the urine can be used as a metabolite to indirectly measure organophosphorous pesticide exposure. The metabolites of DAP are measured as dimethylphosphate (DMP), diethylphosphate (DEP), dimethyl phosphorothioate (DMTP), diethyl phosphorothioate (DETP), dimethyl dithiophosphate (DMDTP), and diethyl dithiophosphate (DEDTP). In this study, 4 metabolites (DMP, DEP, DMTP, and DETP) among the 6 target metabolites were analyzed [16].
DMP (98%), DMTP (98%) and dibutylphosphate (DBP, 99%), used for an internal standard (I.S), was purchased from Acros Chimica. DEP (98%) was purchased from Supelco and DETP (98%), 2,3,4,5,6-pentafluorobenzyl bromide (derivatization reagent, 99.9%, PFBBr), toluene (99.5%) and n-hexane (99.9%) from Sigma Aldrich. Diethyl ether, acetonitrile, which are HPLC grade, hydrochloric acid (37%, HCl) and sodium sulfate anhydrous (99%, Na2SO4), sodium disulfite (Na2S2O5), potassium carbonate (K2CO3) were obtained from Burdick & Jackson. Gases used by the instrumentation had a minimum purity of 99.99%. Water used through out the experiments was distilled and deionized to 18MΩ with a Millipore Milli-Q system (Millipore Co., Bedford, MA, USA).
Electron ionisation mass spectrometric analysis was performed on a GC-MS Hewlett-Packard 6890 (gas chromatography) and HP 5973 mass spectrometer system equipped with a DB-5MS (30 m × 0.25 mm × 0.25um) capillary column. Gas (helium) with a column flow of 1 mL/min was used as a carrier gas. Injection volume was 2 μL of solution into the system in the splitless mode (split 20:1 at 1 min) and the column temperature was initially held at 80 °C for 1 min, raised to 250 °C at 20 °C/min, held for 10 min. The injector temperature was 250 °C. The ion source (detector) and interface temperatures were set at 280 °C and 300 °C, respectively. An auto-tune of the mass spectrometer using pentafluorotributylamin (PFTBA, tuning standard) was performed before the analysis.
DMP, DEP, DMTP and DETP were prepared at a concentration of 1000 mg/L in MeOH, and diluted with MeOH to each working standard solution at concentrations ranging from 3 to 100 mg/L. The standard solutions were stored in the dark at 4 °C. Five milliliters of urine was pipetted into a 15 mL screw top glass test tube, and 50 μL of internal standard solution (50 μg/L DBP), 5 g of NaCl, 1 mL of 6 M HCl, 50 mg of Na2S2O5, and 5 mL of diethylether- acetonitrile (1:1, v/v) were added.
After shaking for 5 min and vortex 1 min, the test tube was centrifuged (3000 rpm for 5 min). The organic phase (upper layer) containing DAP was transferred into a new screw-top glass test tube containing 15 mg K2CO3. The residuals were re-extracted with 5 mL of diethylether-acetonitrile (1:1, v/v) and then shaked for 5 min, vortexed, and centrifuged (3000 rpm for 5 min). The supernatant obtained from the second extraction was combined with the first extract. The resulting extract was evaporated at 45 °C to dryness with a gentle nitrogen stream. To the dried extracts, 15 mg K2CO3, 1 mL of ACN, and 50 μL of PFBBr were added and incubated in a water bath at 70 °C for 60 min with occasional swirling. Afterwards, 5 mL of water and 5 mL of n-hexane were added, and shaked the mixture for 5 min, vortexed, and centrifuged. The upper layer containing PFB-DAP was transferred to new test-glass tubes. The extraction was then repeated with 5 mL of n-hexane and the supernatant obtained from the second extraction was combined with the first extract. And extraction materials was evaporated at 45 °C to dryness with a gentle nitrogen stream. The residue was dissolved in 100 μL of toluene and injected into GC/MSD.
SPSS 18.0 was used to evaluate the relationship between pesticide metabolite and oxidative stress. Demographic and lifestyle characteristics (i.e., age, smoking, drinking, and exercise), and pesticide characteristics (i.g., number of spraying years, number of spraying days per year, and spraying time), pesticide exposure index (PEM, CEI), and biomarker levels (i.e., 8-OHdG, MDA, isoprostane) were evaluated.
To better evaluate the relationship among 8-OHdG, MDA, isoprostane, and other variables, we used correlation coefficients. Linear regression analyses were used to assess the relationship between the levels of pesticide metabolites and oxidative stress biomarkers. Linear regression analyses adjusted for age, smoking, drinking, exercise. A P value < 0.05 was taken as being statistically significant.
Oxidative stress biomarkers and pesticide metabolites concentration were natural log-transformed to account for skewed distribution for linear regression models and logistic regression analysis.
Results
The calibration curve of 8-OHdG, isoprostane, and MDA were produced at a range of 0.5 μg/L - 20 μg/L, 0.005 ng/mL - 1 ng/mL, 0.443 umol/L - 8.850 umol/L. The detection limit of 8-OHdG (0.053 μg/L), isoprostane (0.162 pg/mL) and MDA (0.0437 umol/L) was calculated by using the method proposed by the US EPA (Environmental Protection Agency). DMP, DEP, DMTP, and DETP were calculated as 0.84 μg/L, 1.35 μg/L, 0.59 μg/L, and 2.06 μg/L, respectively. The mean absolute recoveries ratio were 77.25–129.00% for DMP, 65.02–88.12% for DEP, 85.32–143.64% for DMTP, and 76.82–148.44% for DETP with pooled urine spiked with DAP.
Ages of subjects who are exposed to pesticides are 60-69, 44 persons out of the total subjects of 84 and that shows the highest level in the age groups. Regarding smoking, non-smoking and smoking subjects are investigated by 37 and 27 respectively. In the case of drinking, 55 subjects are addicted to drinking. Also, regarding exercises, 66 subjects have not been exercised (Table 1). The concentrations of 8-OHdG, Isoprostane, and MDA that represent oxidative stress biomarkers in subjects are investigated as 0.939 ± 0.61ug/g creatinine, 0.298 ± 0.18 ng/mg creatinine, and 0.133 ± 0.07umol/g creatinine, respectively (Table 2).
Table 1
Demographic characteristics of pesticide exposure farmer
Table 2
Oxidative stress biomarker and pesticide metabolite characteristics of pesticide exposure farmer
The engaged period of agriculture in subjects is presented as average 37 years. The period for spraying pesticides is average 24 years, and the average annual spraying period is about 10 days. In the results of the calculation of PEM based on using pesticide exposure days and months, it is 6.02, and the cumulative exposure index is 196.2. In the results of the measurement of DAP, which is known as an organophosphorous metabolic substance, the concentrations of DMP, DEP, DMTP, and DETP are 0.83ug/g creatinine, 1.48ug/g creatinine, 3.24ug/g creatinine, and 4.84ug/g creatinine, respectively (Table 2).
In a simple correlation analysis, 8-OHdG showed a significant positive correlation with MDA (r = 0.471), CEI (r = 0.240), DMP (r = 0.285), DEP (r = 0.396), and DETP (r = 0.361) (p < 0.05). Isoprostane showed a significant positive correlation to MDA (r = 0.461), DMP (r = 0.484), DEP (r = 0.578), and DETP (r = 0.603) (p < 0.05). MDA showed a significant positive correlation to DMP (r = 0.532) and DEP (r = 0.506), and DETP (r =0.367) (p < 0.05). In addition, PEM, which is used as an index of pesticide exposure, showed a significant positive correlation to 8-OHdG (r = 0.326), isoprostane (r = 0.408), CEI (r = 0.771), and DMP (r = 0.280) (Table 3).
Table 3
Spearman’s Rank correlation coefficient between pesticide metabolite and biomarkers of oxidative stress
Abbreviations: CEI cumulative exposure index (intensity level × spraying year × spraying day per year), PEM pesticide exposure month (spraying year × spraying day per year / 30 day)
*p < 0.05, **p < 0.01
Abbreviation: DMP (ug/g creatinine) ; dimethylphosphate, DEP (ug/g creatinine) ; diethylphosphate,
DMTP (ug/g creatinine) ; dimethylthiophosphate, DETP (ug/g creatinine) ; diethylthiophosphate
PEM Pesticide exposure month, CEI Cumulative exposure index
To investigate the influence of pesticide exposure on oxidative stress among farmers exposure to pesticide, a linear regression analysis was performed using 8-OHdG, isoprostane, and MDA as dependent variables with the application of a calibration for the demographic characteristics of age, smoking, drinking, and exercise.
The 8-OHdG level showed a significant relation to DMP (ß = 0.320, p = 0.020), DEP (ß = 0.390, p = 0.004), DETP (ß = 0.082, p = 0.015), and PEM (ß = 0.302, p = 0.020), and CEI (ß = 0.297, p = 0.020). In addition, isoprostane was related to DMP (ß = 0.396, p = 0.003), DEP (ß = 0.508, p = 0.000), DETP (ß = 0.504, p = 0.000), total DAP (ß = 0.302, p = 0.036), and PEM (ß = 0.434, p = 0.000).
MDA was related to DMP (ß = 0.432, p = 0.001), DEP (ß = 0.508, p = 0.000), and DETP (ß = 0.329, p = 0.014). Thus, the levels of the pesticide metabolites were significantly associated with the levels of oxidative stress biomarkers among farmers exposure to pesticide who were exposed to organophosphate pesticides (Table 4).
Table 4
Linear regression analysis of pesticide metabolites and oxidative stress biomarkers
Adjusted : age, smoking history, alcohol drinking, exercise
*Oxidative stress biomarker and pesticide metabolites : log transformation
Abbreviation: DMP (ug/g creatinine) ; dimethylphosphate, DEP (ug/g creatinine) ; diethylphosphate,
DMTP (ug/g creatinine) ; dimethylthiophosphate, DETP (ug/g creatinine) ; diethylthiophosphate
PEM Pesticide exposure month, CEI Cumulative exposure index
Discussion
Pesticides increase oxidative stress, leading to an imbalance between oxidants and antioxidants [17]. It has been reported that organophosphorus pesticides disturb the cytochrome p 450 system in the liver and affect the transfer system related to mitochondrial membranes [18]. In addition, it has been known that organophosphorus pesticides cause oxidative stress by inhibiting enzymatic and nonenzymatic antioxidant defenses [19, 20]. Other studies have shown that acute and chronic pesticide exposure affect internal secretions and the pancreas [21, 22].
And organophosphorous pesticide are neurotoxic in nature by acting as inhibitor of neuronal cholinesterase activity. There are numerous reported studies suggesting that organophosphorous pesticide caused lipid peroxidation [23]. Organophosphorous pesticide may induce oxidative stress leading to generation of free radicals and alterations in antioxidant or reactive oxygen species scavenging enzymes [24, 25]. We determined dialkylphosphate, which is considered to be a marker for pesticide metabolite and pesticide exposure index.
In this study, oxidative stress biomarkers, such as 8-OHdG, isoprostane, and MDA, were measured in subjects with and pesticide metabolite. The PEM (spraying years × spraying days per year/30 days), CEI (intensity × spraying years × spraying days per year), and DAP levels (DMP, DEP, DMTP, and DETP) as well as PEM were positively correlated to the levels of 8-OHdG, isoprostane, CEI, and DMP. CEI, DMP, DEP, and DETP also represented a positive correlation to 8-OHdG (Table 3).
The MDA and isoprostane levels directly represent lipid peroxidation resulting from exposure to organophosphorus pesticides. Thus, our findings are consistent with those of other studies in which the oxidative stress was increased by the toxicity of synthetic. pyrethroid, organochlorine, and carbamate pesticides, including xenobiotics [26, 27].
In the linear regression analysis (Table 4), a correlation analysis was performed after demographic characteristics, such as age, smoking, drinking, and exercise, were adjusted to determine the relationship between pesticide exposure and oxidative stress. As a result, 8-OHdG, isoprostane, and MDA were significantly related to DMP (ß = 0.320, p= 0.020), DEP (ß = 0.390, p = 0.004), and DETP (ß = 0.082, p = 0.015); DMP (ß = 0.396, p = 0.003), DEP (ß = 0.508, p = 0.000), and DETP (ß = 0.504, 0.000); and DMP (ß = 0.432, p = 0.001), DEP (ß = 0.508, p = 0.000), and DETP (ß = 0.329, p = 0.014), respectively. Organophosphorus pesticide mediated formation of ROS that activate protein kinase. Organophosphorus pesticide generated ROS formation and oxidative stress have been shown to be associated with apoptosis in different tissues [23, 28].
Thus, pesticide exposure should be controlled for farmers and the population at large. It is necessary to strictly control the access to pesticides, to minimize their use, and to replace highly toxic pesticides with those of low toxicity.
Prospective studies are required to verify the causal relationships between pesticide exposure and chronic diseases. In addition, it is necessary to consider the application and exposure characteristics of the pesticides and to exactly reproduce previous pesticide exposures [27]. Moreover, further studies are required in a larger farmer population to ensure statistical power, and a proper measurement of the biomarkers is required to reduce misclassification biases in the measurements of pesticide exposure and its influences on health.
The major limitation of this study is the cross-sectional design. Some of the results were not statistically significant because of the small size.
Conclusions
The concentration between oxidative stress biomarkers and the pesticide metabolite were a positive correlation. Indicators of oxidative stress was associated with a pesticide metabolite DMP, DEP, and DETP. Therefore, Pesticide exposure and oxidative stress were relevant.
Acknowledgement
This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2016S1A5B8925203).
Design of this study and collection, analysis and interpretation of data was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2016S1A5B8925203).
Please contact author for data requests.
MKL and SBK designed a research method, analyzed the data and drafted the manuscript. SYP, KL and SSO participated in research process and collected data. All authors read and approved the final manuscript.
Author Sang Baek Ko is also Editor-in-Chief of the journal Annals of Occupational and Environmental Medicine but was not involved in peer review.
Consent for publications were obtained from individual person.
This study was approved by the Institutional Review Board of the Yonsei University Wonju College of Medicine (YWMR-15-9-017).
This study was approved by the Institutional Review Board of the Yonsei University Wonju College of Medicine (YWMR-15-9-017).
- 1. Gomez C, Bandez MJ, Navarro A. Pesticides and impairment of mitochondrial function in relation with the parkinsonian syndrome. Front Biosci 2007;12:1079–1093. 10.2741/2128. 17127363.ArticlePubMed
- 2. Chandra , Pangtey BS, Modak DP, et al. Biological monitoring of chlorinated pesticides among exposed workers of mango orchards: a case control study in tropical climate. Bull Environ Contam Toxicol 1992;48:295–301. 10.1007/BF00194387. 1371423.PubMed
- 3. Guillette EA, Maria Mercedes M, Maria Guadalupe A, Alma Delia S, Idalia Enedina G. An Anthropological Approach to the Evaluation of Preschool Children Exposed to pesticides in Mexico. Environ Health Perspect 1998;106(6):347–353. 10.1289/ehp.98106347. 9618351.ArticlePubMedPMC
- 4. Weichenthal S, Moase C, Chan P. A review of pesticide exposure and cancer incidence in the Agricultural Health Study cohort. Environ Health Perspect 2010;118(8):1117–1125. 10.1289/ehp.0901731. 20444670.ArticlePubMedPMC
- 5. Lee WJ, Blair A, Hoppin JA, Lubin JH, Rusiecki JA, et al. Cancer incidence among pesticide applicators exposed to chlorpyrifos in the Agricultrual Health Study. J Natl Cancer Inst 2004;96(23):1781–1789. 10.1093/jnci/djh324. 15572760.PubMed
- 6. Almedia MG, et al. Pro-and anti-oxidant parameters in rat liver after short-term exposure to hexacholorobenzene. Hum Exp Toxicol 1997;16:257–261. 10.1177/096032719701600504. 9192204.ArticlePubMedPDF
- 7. Banerjee BD, et al. Biochemical effects of pesticides on lipid peroxidation and free radicals scavengers. Toxicol Lett 1999;107:33–37. 10.1016/S0378-4274(99)00029-6. 10414779.PubMed
- 8. Susan J, et al. Protective effect of vitamin E in dimethoate and malathion induced oxidative stress in rat erythrocytes. J Nutr Biochem 2001;12:500–504. 10.1016/S0955-2863(01)00160-7. 11834209.ArticlePubMed
- 9. Abdollahi M, et al. Oxidative stress and cholinesterase inhibition in saliva and plasma of rats following subchronic exposure to malathion. Comp bio Biochem Physiol Part C 2004;137:29–34.Article
- 10. Ranjbar A, Pasalar P, Sedighi A, Abdollahi M. Induction of oxidative stress in paraquat formulating workers. Toxicol Lett 2002;131:191–194. 10.1016/S0378-4274(02)00033-4. 11992738.ArticlePubMed
- 11. Lee CH, Kamijima M, Kim H, et al. 8-Hydroxydeoxyguanosine levels in human leukocyte and urine according to exposures to organophosphorus pesticides and paraoxonase 1 genotype. Int Arch Occup Environ Health 2007;80:217–227. 10.1007/s00420-006-0128-1. 16915393.ArticlePubMedPDF
- 12. Basu S. Fatty acid oxidation and isoprostanes: Oxidative strain and oxidative stress. Prostaglandins Leukot Essent Fatty Acids 2010;82:219–225. 10.1016/j.plefa.2010.02.031. 20363116.ArticlePubMed
- 13. Kasai H, et al. Life style and urinary 8-hydroxydeoxyguanosine, a marker of oxidative DNA damage: effects of exercise, working conditions, meat intake, body mass index, and smoking. Jpn J Cancer Res 2001;92(1):9–15. 10.1111/j.1349-7006.2001.tb01041.x. 11173538.ArticlePubMedPMC
- 14. Toraason M. 8-Hydroxyguanosine as a biomarker of workplace exposure. Biomarkers 1999;4(1):3–26. 10.1080/135475099230967. 23898791.ArticlePubMed
- 15. Dosemeci M, Michael CR, et al. A quantitative approach for estimating exposure to pesticide in the agricultural health study. Ann Occup Hyg 2002;46(2):245–260. 12074034.PubMed
- 16. Ueyama J, Saito I, et al. Simultaneous determination of urinary dialkylphosphate metabolites of organophosphorus pesticides using gas chromatography-mass spectrometry. J Chromatogr B 2006;832:58–66. 10.1016/j.jchromb.2005.12.030.Article
- 17. Ahmed RS, Vandana S, Pasha ST, Banerjee BD. Influence of dietary ginger(Zingiber officinalis Rosc) on oxidative stress induced by malathion in rats. Food Chem Toxicol 2000;38:443–450. 10.1016/S0278-6915(00)00019-3. 10762730.PubMed
- 18. Singh VK, Jyoti , Krishna Reddy MM, Kesavachandran C, Rastogi SK, Siddiqui MK. Biomonitoring of organochlorines, glutathione, lipid peroxidation and cholinesterase activity among pesticide sprayers in mango orchards. Clin Chim Acta 2007;377:268–272. 10.1016/j.cca.2006.08.037. 17067563.ArticlePubMed
- 19. Soltaninejad K, Abdollahi M. Current opinion of the science of organophosphate pesticides and toxic stress: A systematic review. Med Sci Monit 2009;15:75–90.
- 20. Lukaszewicz-Hussain A. Role of oxidative stress in organophosphate insecticide toxicity-Short review. Pest Biochem Physiol 2010;98:145–150. 10.1016/j.pestbp.2010.07.006.Article
- 21. Kamath V, Rajini PS. Altered glucose homeostasis and oxidative impairment in pancreas of rats subjected to dimethoate intoxication. Toxicology 2007;231:137–146. 10.1016/j.tox.2006.11.072. 17197067.ArticlePubMed
- 22. Rahimi R, Abdollahi M. A review on the mechanisms involved in hyperglycemia induced by organophosphorus pesticides. Pesti Biochem Physiol 2007;88:115–121. 10.1016/j.pestbp.2006.10.003.Article
- 23. Oral B, Guney M, Demirin H, et al. Endometrial damage and apoptosis in rats induced by dichlorvos and ameliorating effect of antioxidant vitamin E and C. Reproductive Toxicol 2006;22:783–790. 10.1016/j.reprotox.2006.08.003.
- 24. Kaur P, Radotra B, Minz RW, Gill KD. Impaired mitochondrial energy metabolism and neuronal apoptotic cell death after chronic dichlorvos (OP) exposure in rat brain. NeuroToxicol 2007;28:1208–1219. 10.1016/j.neuro.2007.08.001.Article
- 25. Gultekin F, Delibas N, Yasar S, Kilinc I. In vivo changes in antioxidant systems and protective role of melatonin and a combination of vitamin C and vitamin E on oxidative damage in erythrocytes induced by chlorpyrifosethyl in rats. Arch Toxicol 2001;75:88–96. 10.1007/s002040100219. 11354911.ArticlePubMedPDF
- 26. Prakasam AS, Sethupathy S, Lalitha . Plasma and RBCs antioxidant status in occupational male pesticide sprayers. Clin Chim Acta 2001;310:107–112. 10.1016/S0009-8981(01)00487-9. 11498075.ArticlePubMed
- 27. Loewenherz C, Fenske RA, Simcox NJ, Beltarny G, Kalman D. Biological monitoring of organophosphorus pesticide exposure among children of agricultural workers in central washington state. Environ Health Perspect 1997;105:1344–1353. 10.1289/ehp.971051344. 9405329.ArticlePubMedPMC
- 28. Yu F, Wang Z, Ju B, Wang Y, Wang J, Bai D. Apoptotic effect of organophosphorus insecticide chlorpyrifos on mouse retina in vivo via oxidative stress and protection of combination of vitamins C and E. Exp Toxicol Pathol 2008;59(6):415–423. 10.1016/j.etp.2007.11.007. 18222074.ArticlePubMed
REFERENCES
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REFERENCES
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PLOS ONE.2019; 14(3): e0213738. CrossRef - Relationship between cumulative exposure to pesticides and sleep disorders among greenhouse vegetable farmers
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BMC Public Health.2019;[Epub] CrossRef - Pesticides as a risk factor for metabolic syndrome: Population-based longitudinal study in Korea
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Molecular & Cellular Toxicology.2019; 15(4): 431. CrossRef - A mixture of routinely encountered xenobiotics induces both redox adaptations and perturbations in blood and tissues of rats after a long-term low-dose exposure regimen: The time and dose issue
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Toxicology Letters.2019; 317: 24. CrossRef - Oxidative stress and inflammation following sub-lethal oral exposure of cypermethrin in rats: mitigating potential of epicatechin
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Heliyon.2019; 5(8): e02274. CrossRef - Occupational health risk of farmers exposed to pesticides in agricultural activities
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Current Opinion in Environmental Science & Health.2018; 4: 31. CrossRef - Association between pesticide exposure intensity and self-rated health among greenhouse vegetable farmers in Ningxia, China
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PLOS ONE.2018; 13(12): e0209566. CrossRef - Assessment of neurohepatic DNA damage in male Sprague–Dawley rats exposed to organophosphates and pyrethroid insecticides
Doha Yahia, Marwa F. Ali
Environmental Science and Pollution Research.2018; 25(16): 15616. CrossRef - Oxidative stress in triazine pesticide toxicity: a review of the main biomarker findings
Tanja Živković Semren, Suzana Žunec, Alica Pizent
Archives of Industrial Hygiene and Toxicology.2018; 69(2): 109. CrossRef - Exposure to pesticide as a risk factor for depression: A population-based longitudinal study in Korea
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NeuroToxicology.2017; 62: 181. CrossRef
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XML DownloadPesticide metabolite and oxidative stress in male farmers exposed to pesticide
Pesticide metabolite and oxidative stress in male farmers exposed to pesticide
| Pesticide exposed farmer | |
|---|---|
| N (%) | |
| Demographic characteristics | |
| Age, n(%) | |
| ~ 59 | 27 (32.2) |
| 60 ~ 69 | 44 (52.3) |
| 70~ | 13 (15.5) |
| Smoking, n(%) | |
| Non-smoking | 37 (44.6) |
| Past-smoking | 19 (22.9) |
| Smoking | 27 (32.5) |
| Drinking, n(%) | |
| Non-drinking | 22 (26.5) |
| Past-drinking | 6 ( 7.2) |
| Drinking | 55 (66.3) |
| Exercise, n(%) | |
| Non-exercise | 66 (78.6) |
| Exercise | 18 (21.4) |
| pesticide exposed farmer | |
|---|---|
| Mean ± SD | |
| Oxidative stress biomarker | |
| 8-OHdG, μg/g creatinine | 0.939 ± 0.61 |
| Isoprostane, ng/mg creatinine | 0.298 ± 0.18 |
| MDA, μmol/g creatinine | 0.133 ± 0.07 |
| Pesticide characteristics | |
| Farming duration | 37.55 ± 14.08 |
| Spraying year, year | 24.17 ± 9.57 |
| Spraying day per year, day | 10.46 ± 6.68 |
| PEM | 6.02 ± 5.96 |
| CEI | 196.20 ± 241.26 |
| Pesticide metabolites (ug/g creatiine) | |
| DMP | 0.83 ± 0.89 |
| DEP | 1.48 ± 1.27 |
| DMTP | 3.24 ± 7.29 |
| DETP | 4.84 ± 8.31 |
| 8-OHdG | Isoprostane | MDA | PEM | CEI | DMP | DEP | DMTP | DETP | |
|---|---|---|---|---|---|---|---|---|---|
| 8-OHdG | 1 | ||||||||
| Isoprostane | 0.187 | 1 | |||||||
| MDA | 0.471** | 0.461** | 1 | ||||||
| PEM | 0.326** | 0.408** | 0.254 | 1 | |||||
| CEI | 0.240* | 0.226 | 0.133 | 0.771** | 1 | ||||
| DMP | 0.285* | 0.484** | 0.532** | 0.280* | 0.096 | 1 | |||
| DEP | 0.396** | 0.578** | 0.506** | 0.186 | 0.102 | 0.723** | 1 | ||
| DMTP | 0.119 | 0.178 | 0.196 | -0.045 | -0.035 | 0.231 | 0.206 | 1 | |
| DETP | 0.361** | 0.603** | 0.367** | 0.142 | 0.057 | 0.766** | 0.895** | 0.246* | 1 |
| Independent variables | 8-OHdG (μg/g creatinine)* | Isoprostane (ng/mg creatinine)* | MDA (μmol/g creatinine)* | ||||||
|---|---|---|---|---|---|---|---|---|---|
| B | ß | P-value | B | ß | P-value | B | ß | P-value | |
| DMP* | 0.238 | 0.320 | 0.020 | 0.329 | 0.396 | 0.003 | 0.320 | 0.432 | 0.001 |
| DEP* | 0.306 | 0.390 | 0.004 | 0.471 | 0.508 | 0.000 | 0.426 | 0.508 | 0.000 |
| DMTP* | 0.009 | 0.019 | 0.897 | -0.020 | -0.051 | 0.732 | -0.001 | -0.002 | 0.987 |
| DETP* | 0.207 | 0.082 | 0.015 | 0.342 | 0.504 | 0.000 | 0.180 | 0.329 | 0.014 |
| PEM | 0.029 | 0.302 | 0.020 | 0.040 | 0.434 | 0.000 | 0.015 | 0.195 | 0.155 |
| CEI | 0.001 | 0.297 | 0.020 | 0.001 | 0.213 | 0.106 | 0.000 | 0.182 | 0.171 |
Table 1 Demographic characteristics of pesticide exposure farmer
Table 2 Oxidative stress biomarker and pesticide metabolite characteristics of pesticide exposure farmer
Table 3 Spearman’s Rank correlation coefficient between pesticide metabolite and biomarkers of oxidative stress
*
DMTP (ug/g creatinine) ; dimethylthiophosphate, DETP (ug/g creatinine) ; diethylthiophosphate
Table 4 Linear regression analysis of pesticide metabolites and oxidative stress biomarkers
Adjusted : age, smoking history, alcohol drinking, exercise
*Oxidative stress biomarker and pesticide metabolites : log transformation
DMTP (ug/g creatinine) ; dimethylthiophosphate, DETP (ug/g creatinine) ; diethylthiophosphate
