Research Article

Assessment of Oxidative Stress Biomarkers and DNA Damage Among Pesticide Retailers in South Punjab, Pakistan

Abdul Ghaffar1*, Maria Niaz1, Ghulam Abbas2, Riaz Hussain3, Fozia Afzal4, Habiba Jamil1, Ahrar Khan5,6, Rabia Tahir7, Muhammad Ahmad Chishti1, Shahnaz Rashid3, Shahzad Ali Gill8, Aliya Noreen9, Ayesha Maqsood1 and Kashfa Akram1

1Department of Zoology, The Islamia University of Bahawalpur, 63100, Pakistan; 2Centre of Excellence in Marine Biology University of Karachi, 75270, Pakistan; 3Department of Pathology, University College of Veterinary and Animal Sciences, The Islamia University of Bahawalpur, Bahawalpur-63100, Pakistan; 4Department of Zoology, The Islamia University of Bahawalpur, Rahim Yar Khan Campus, 64100, Pakistan; 5Shandong Vocational Animal Science and Veterinary College, Weifang, 261061, China; 6Faculty of Veterinary Science, University of Agriculture, Faisalabad, Pakistan; 7College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China, 8Department of Management Sciences, The Islamia University of Bahawalpur, 9Biology Centre CAS, Institute of Entomology, Ceske Budějovice, Czechia.

Received | April 02, 2024; Accepted | September 09, 2024; Published | November 27, 2024

*Correspondence | Abdul Ghaffar, Department of Zoology, The Islamia University of Bahawalpur, 63100, Pakistan; Email: [email protected]

Citation | Ghaffar, A., M. Niaz, G. Abbas, R. Hussain, F. Afzal, H. Jamil, A. Khan, R. Tahir, M.A. Chishti, S. Rashid, S.A. Gill, A. Noreen, A. Maqsood and K. Akram. 2024. Assessment of oxidative stress biomarkers and DNA damage among pesticide retailers in South Punjab, Pakistan. Sarhad Journal of Agriculture, 40(4): 1509-1521.

DOI | https://dx.doi.org/10.17582/journal.sja/2024/40.4.1509.1521

Keywords | Oxidative stress biomarkers, DNA damage, Occupational hazards, Environmental monitoring

Copyright: 2024 by the authors. Licensee ResearchersLinks Ltd, England, UK.

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

Introduction

In the advanced farming innovation pesticides are a huge segment that has been largely been received over the globe to avert or control insects, illnesses, weeds, and other plant pathogens with an end goal to decrease or kill yield misfortunes and keep up the high quality of item (Damalas, 2009; Damalas and Eleftherohorinos, 2011). Various major/minor advantages from uses of pesticides have been illustrated, within the most articulated being financial advantages got from the assurance of crop yield, quality and the lessening of many other expensive sources, for example, fuel and work (Cooper and Dobson, 2007). In this manner, similarly in many different countries, an extensive pesticides range is applied on a wide scale for the insurance of the harvests. In Pakistan, there was almost 11.60% development occurred in the application of pesticides. However according to results, yield was not change much by increasing such pesticides application rate (Khan, 2010). Cotton crop which is an important cash crop with imperative part in the overall nation’s economy gets a lot of pesticides, which represents over 80% of the aggregate Pakistan use of pesticides (Khan, 2009, 2011). Around 90% of the aggregate pesticides utilize set out insecticides in nature. In excess of insecticides of 108 type, the 30 kind of fungicides, 39 sorts of weedicides, almost 5 sorts of acaricides and 6 rodenticides of six type are being utilized in Pakistan.

Pesticide sell markets are present in the urban and rural areas and supply these chemical agents for a broad range of purposes. In the domestic us­age, people usually buy insect sprays or powders, rat baits, and disinfectants to use in gardens and homes. Furthermore, these chemicals can be used anywhere for the same pur­poses. Mostly the pesticides are used by the farmers who use them in their farms (Atwood and Paisley-Jones, 2017). A great amount of proofs on workers who work with pesticides has reported dif­ferent health problems including skin problems (Anderson and Meade, 2014) and respiratory problems (Neghab et al., 2015), hemato­logical and biochemical damages, (Gaikwad et al., 2015) along with coronary artery disease and cancer. A few researches on the fitness of pesticide retailers have recommended that exposure to active pesticide components may encourage different unfavorable health effects in this working community.

Pesticide utilization has been recorded to cause many severe health impacts. Pesticide related medical issues generally showed that the exposures of pesticides are very dangerous. A small amount poisonous effect of organophosphate results in forms of different health problems like diarrhea, malaise, loose stools, sweating, vomiting, abdominal pain, salivation and nausea. Average amount of poisoning can cause many problems which could dyspnea, decreased strength of muscles, tremor, miosis, muscles fasciculation, bradycardia, bronchospasm, motor in coordination and also includes hypotension or hypertension. Intense poisoning manifestation could result in the coma, extreme weakness of the muscles, convulsion, extreme hypersecretion, muscular paralysis, respiratory paralysis, sustained hypotension and cyanosis (Iowa State University, 1995). Other diseases like dermatitis and asthma exacerbation are also related to the exposure of pesticides (Sanborn et al., 2002). Pesticides exposure can also cause sensory peripheral nerve defects disease, chronic neurobehavioral, disease named as motor dysfunction (Miranda et al., 2002) deficits in verbal’s abstraction, attention and also reduction in memory (Farahat et al., 2003), and lastly can also causes depression and anxiety (Jamal et al., 2002). All these effects have been suggested to impair farmers aptitude to fulfill all established procedures of safety (Beseler and Stallones, 2003).

Long term lose dose exposure to pesticides is also associated with neurotoxicity and many other diseases including hypersensitivity, cancer, asthma, hormone disruption, and skin allergies (Van Maele-Fabry et al., 2010; Baltazar et al., 2014). Different birth defects, reduced birth weight and fetal death are also bad impacts of exposure to the pesticide number of proofs already exist (Baldi et al., 2011; Wickerham et al., 2012). Repression of acetylcholinesterase essentially causes influence on the nervous system of exposed organisms and bringing acetylcholine step up in the cholinergic synapse. Alongside cholinergic effects, Organophosphates also causes oxidative stress (Dettbern et al., 2006; Soltaninejad and Abdollahi 2009) disturbs metabolic pathways (Karami-Mohajeri and Abdollahi, 2011) cause many organ dysfunctions such as hypoxia and inadequate liver and heart tissue perfusion (Karami-Mohajeri et al., 2017). In the liver they cause damage metabolically, ultrastructural, biochemically, and mitochondrial, verified by variations in hepatic biomarkers for example serum aminotransferase and indirect and direct bilirubin (Lasram et al., 2009; Hoekstra et al., 2013).

Organophosphates (OPs) have been shown to employ immunotoxic effects on both invertebrates and vertebrates, disrupting innate and adaptive immune responses. Acute exposure impairs key immune functions, including phagocytosis, respiratory burst, ROS release, hemocyte/leukocyte responses, antibody production, cell proliferation, and cytokine release. These disruptions increase susceptibility to infections by opportunistic microorganisms and highlight the need for further studies on OP exposure in relation to antigenic challenges, environmental concentrations, and pesticide mixtures (Makesh and Rajendran, 2022; Bernal-González et al., 2023). Over the past 20 years, research has demonstrated that OPs can interfere with the immune system through both cholinergic and non-cholinergic pathways, yet there remains a significant research gap in understanding their effects on non-target species and ecosystems (Wong et al., 1992; Bernal-González et al., 2023). These research studies contained documentation of histopathological changes on the cellular pathology and immune tissue, altered mutation, organs and changes in lymphocyte subpopulation and functional alteration to immuno-competent cells (Hoekstra et al., 2013). In some cases, these effects on immune components and functions have been linked to alteration in disease resistance in exposed organisms. Genotoxic potential is an essential hazard factor for long term impacts, for example, reproductive toxicology and cancer-causing. The majority of pesticides have been tried in a widespread variety of mutagenicity tests covering the chromosomal modification, DNA damage and gene mutation (Dearfield et al., 1999). Pesticides have been viewed as potential chemical mutagens: Experimental results exposed that different agrochemical have mutagenic properties. Current study devised therefore to investigate the relationship of DNA damage with the occupational exposure to pesticides and to assess the relationship of oxidative stress with the occupational exposure to pesticides.

Materials and Methods

Study area and sampling

For the purpose of blood sampling a survey was conducted in different villages of district Khanewal. Blood samples of about 100 pesticide retailers and 100 pesticide non exposed workers of different age groups were collected. About 3ml blood was taken in EDTA coated tubes for the purpose of hematological analysis, biochemical analysis and DNA damage studies while 2ml blood was taken in serum vials for serum analysis. Blood samples are handled very carefully. The age of the workers was approximately estimated from 20 to 60 years. So, they are arranged in different groups according to their age. Pesticide retailers were also surveyed with the help of a questionnaire about different clinical abnormalities like eye irritation, nasal allergy, dermal allergy, sneezing, cough, throat infection, asthma, blood pressure, hepatitis, uric acid, sugar, flu, kidney problem and cardiac problem. The occurrence of symptoms was estimated within the time frame as the participants had begun to work in the pesticide establishment.

Hemato-biochemical assay

Different blood parameters are examined with the help of hematological analyzer such as Hb, hematocrit, WBCs, RBCs, lymphocytes, mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH) and mean corpuscular hemoglobin concentration (MCHC). Collected blood samples were studied with the help of spectrophotometer by using commercially available kits of different biochemical parameters. The blood samples were centrifuged with the help of centrifugation machine at 1500 rpm for 15-20 min. The serum was separated. Parameters which are studied were creatinine, creatinine phosphokinase (CPK), alanine aminotransferase (ALT), Alkaline Phosphatase (ALP), aspartate aminotransferase (AST), Urea, lactate dehydrogenase (LDH), cholesterol, triglycerides, calcium, phosphorous, sodium, potassium and bilirubin.

Comet assay

Blood samples were collected and processed for the assay according to the protocol outlined by Singh et al. (1988) with modifications. Thin smears of both 1% normal melting point agarose and 1% low melting point agarose were applied to frosted glass slides. The slides, containing cells suspended in low melting agarose, were then solidified and immediately immersed in freshly prepared lysing buffer solution. Afterward, the slides were placed in a horizontal electrophoresis tank and subjected to electrophoresis in darkness for 25 minutes at 25 V. Following electrophoresis, the slides were neutralized and stained with ethidium bromide. All slides were subsequently examined under a fluorescent microscope, and DNA damage was assessed by measuring the tail length of 50 cells in each tissue sample (Ghaffar et al., 2021).

Statistical analysis

The data collected in this study underwent statistical analysis using SPSS 15 software. Results are presented as means for hematological and serum analyses, comparing exposed and unexposed workers through multiple comparisons.

Results and Discussion

Clinical signs

Survey revealed that certain diseases were more common in pesticide exposed workers than the unexposed workers. The percentages of diseases are shown in the Table 1 in pesticide exposed retailers and pesticide unexposed workers. The percentages of these diseases in pesticide exposed persons are greater than the persons which are unexposed to pesticides. Table 2 explains the percentages of age, education level, marital status, no. of children, working experience in the pesticides shops, received any training about pesticide, social status and monthly income of the pesticide retailers. Supporting these findings, Mamane et al. (2015) highlights the significant respiratory risks associated with occupational pesticide exposure, noting that studies consistently demonstrate a decline in lung function parameters indicative of obstructive or restrictive syndromes. Additionally, they emphasize the importance of using validated questionnaires and objective respiratory function tests to enhance the accuracy of data, suggesting that clinical assessments should be incorporated alongside self-reported information to better understand the health impacts of pesticide exposure (Mamane et al., 2015).

 

Table 1: Percentage of diseases in pesticide exposed and unexposed groups.

Parameters	Exposed	Unexposed
Fever	14%	05%
Cardiac problems	09%	07%
Blood pressure	25%	20%
Diabetes	31%	26%
Hepatitis	9%	05%
Nasal allergy	19%	15%
Skin allergy	41%	16%
Throat infection	35%	30%
Asthma	19%	10%
Cough	39%	16%

 

Hemato-biochemical parameters

As a result of hematological analysis, it is cleared that in exposed workers the highest mean and standard deviation of WBCs is present among the patients of fever while in unexposed workers it is present among the patients of nasal allergy. In the exposed group the highest mean and standard deviation of RBCs is present among the patients of fever as compared to the unexposed where it is present in the patients of cough.

 

Table 2: Demographic characteristics of pesticide retailers in and around district Khanewal.

Characteristics	No%
Age
<20	2%
20-29	19%
30-39	45%
40-49	20%
>50	8%
Highest level of education
None	8%
1-6th grade	20%
7-9th grade	50%
≥10 grade	22%
Marital status
Married	88%
Single	12%
Number of years working with pesticides
≤5	2%
10-20	80%
20-30	10%
≥30	8%
Received training about pesticides
Received	70%
Not received	30%
Monthly household income
5,000-10,000	15%
10,000-15,000	55%
15,000-25,000	30%
Social classes
Poverty level	70%
Middle class	20%
Upper class	10 %
Number of household members
≤4	13%
5-9	38%
≥10	49%
Number of children in household
None	9%
≥ 1	91%

 

As a result of multiple comparison of hematology, the highest mean and standard deviations of WBCs RBCs, hemoglobin and hematocrit are present in the patients of fever, highest level of MCV and MCH is in the patients of blood pressure, highest mean and S.D of MCHC, monocytes, eosinophils and neutrophils is in the patients of hepatitis and highest lymphocytes level is in the patients of cardiac problem. As compared to the exposed group, unexposed group have different mean and S.D values in different diseases. Blood parameters are depicted in detail in Table 3. The percentages of age, marital status, No. of children, working experience in the pesticides shops, any training about pesticides, social status, education level, and monthly income of the pesticide retailers were also observed. Other behavioral and demographical characteristics were also observed among the patients of different diseases. As a result of hematological analysis, it is cleared that in exposed workers highest mean and standard deviation of WBCs is present among the patients of fever while in unexposed workers it is present among the patients of nasal allergy. In exposed group the highest mean and standard deviation of RBCs is present among the patients of fever as compared to the unexposed where it is present in the patients of cough. As a result of multiple comparison of hematology, the highest mean and standard deviations of WBCs RBCs, hemoglobin and hematocrit are present in the patients of fever, highest level of MCV and MCH is in the patients of blood pressure, highest mean and S.D of MCHC, monocytes, eosinophils and neutrophils are in the patients of hepatitis and highest lymphocytes level is in the patients of cardiac problem. As compared to the exposed group, unexposed group have different mean and S.D values in different diseases. The values of all these parameters vary with in the reference range similar with the results of (Al-Sarar et al., 2009). Leucocytosis may serve as an immune defense mechanism against chronic pesticides toxicity (Wafa et al., 2013). The observed reduction in RBC count and hemoglobin levels aligns with previous studies, which suggest that this may be due to the binding of pesticides to iron and impairment in the synthesis of heme and hemoglobin (Rastogi et al., 2008). This variation could be attributed to the effects of pesticides on the hematopoietic function of bone marrow or a direct toxic impact on peripheral blood cells (Hu et al., 2015; Ahmadi et al., 2018; Khan et al., 2023).

Multiple comparison of serum parameters showed that the level of glucose is high in the patients of diabetes, urea is in the patients of hepatitis and creatinine is in the patients of cough as compared with other diseases of exposed group. While in unexposed group

 

the values of parameters are changed in different disorders. In liver function tests, the liver enzymes bilirubin, ALT, alkaline phosphate and AST have highest mean and S.D values in the patients of hepatitis as compared with other diseases of exposed and unexposed which shows that the liver of the hepatitis patients is damaged. The highest mean and standard value of creatinine phosphokinase CPK is in the patients having cardiac problem in comparison with other diseases of exposed group and unexposed group. Highest level of LDH is present in the patients of skin allergy. In lipid profile test, the level of cholesterol is high in the patients of skin allergy, HDL-C is in the patients of blood pressure, LDL-C is in the patients of fever, VLDL is in fever and triglyceride is in the patients of diabetes as a result of multiple comparison with other diseases. In mineral analysis, the results showed the highest values of potassium, phosphorous and sodium in cardiac patients while the calcium level is highest in throat infection as compared to other diseases in exposed group. All of these results are mentioned in Table 4.

In this research, different hematological and serum parameters were analyzed. After that multiple comparisons of the mean and S.D of these parameters are done with different disorders. Comparison was done between 10 disorders which were mainly focused during our study. Pesticide retailers are reported to have more frequent disorders than the normal people. These frequently occurring disorders are throat infection, hepatitis, cough, asthma, skin allergy, nasal allergy, fever, cardiac problem, blood pressure and diabetes as reported by Gaikwad et al. (2015). Similarly, Jalilian et al. (2018) found an association between occupational exposure to pesticides and oxidative stress. In addition, Neghab et al. (2015) reported that pulmono-toxicity occurs in response to occupational exposure to a mixture of pesticides. In this study, a significant association was found between respira­tory symptoms and pesticide exposure as in the study of (Buralli et al., 2018).

Multiple comparison of serum parameters showed that the level of glucose is high in the patients of diabetes, urea in the patients of hepatitis and creatinine in the patients of cough as compared with other diseases of exposed group. While in unexposed group the values of parameters are changed in different disorders. In liver function tests, the liver enzymes billirubin, ALT, alkaline phosphate and AST have highest mean and S.D values in the patients of hepatitis as compared with other diseases of exposed and unexposed which shows that the liver of the hepatitis patients is damaged.

 

Pesticides, whether alone or in combination, can alter liver enzyme functions in occupational workers. Numerous studies have reported abnormal liver function tests, particularly elevated levels of AST, ALT, and LDH, in agricultural workers (Azmi et al., 2006). These abnormalities may be attributed to the toxic effects of pesticides and the presence of pesticide residues in the blood (Hernández et al., 2006). Hernández et al. (2006) documented early biochemical changes in serum enzymes following exposure to pesticide combinations in agricultural workers. Increased ALT and AST activity has been consistently observed in previous studies, and Yavuz et al. found that excessive pesticide exposure leads to more pronounced liver enzyme derangements (Hernández et al., 2006; Yavuz et al., 2007). Pesticide exposure is known to induce the release of cytosolic enzymes from hepatocytes and other organs. However, Gaikwad et al. (2015) reported no significant changes in ALP activity, highlighting the variability in enzyme responses to pesticide exposure (Gaikwad et al., 2015; Khan et al., 2023).

These results align with previous studies, showing cytotoxic changes in hepatic and renal biochemical markers positively correlated with pesticide residue levels (Khan et al., 2008) similarly high level of creatinine phosphokinase CPK is in the patients having cardiac problem in comparison with other diseases of exposed group and unexposed group reported by Al-Sarar et al. (2009). The highest mean and standard value of creatinine phosphokinase CPK is in the patients having cardiac problem in comparison with other diseases of exposed group and unexposed group. These results showed that the persons dealing with pesticides have higher rate of cardiac diseases according to Assadi (2018). Highest level of LDH is present in the patients of skin allergy. In lipid profile test, the level of cholesterol is high in the patients of skin allergy, HDL-C is in the patients of blood pressure, LDL-C is in the patients of fever, VLDL is in fever and triglyceride is in the patients of diabetes as a result of multiple comparison with other diseases.

DNA damage

50 cells are observed in one microscopic field. A total of 4000 cells were observed in each age group. The values are shown in the form of undamaged, slightly damaged, damaged and highly damaged. Comparisons of pesticide exposed and unexposed cells of samples having different age groups are given. As the age increases, the number of DNA damage cells is also increased because of their increased working experience with pesticide. In pesticide retailers, the percentages of slightly damaged, damaged and highly damaged cells are significantly increased while in the pesticide unexposed workers the percentage of undamaged cells is increased. Results showed that there is significant increase of DNA damage in the pesticide exposed group while the DNA damage is non-significant in the unexposed group. The damaged DNA showed a greater tail length than the slightly damaged cells. As the age of the workers increases the rate of DNA damages also increases because of their working experience. All of these results are mentioned in Table 5 and Figures 1, 2, 3, 4, 5.

 

Table 5: Grades of damaged DNA of exposed and unexposed workers according to their ages.

Age groups (years)	Grades of DNA damages
	Undamaged		Slightly damaged		Damaged		Highly damaged
	No.	%	No.	%	No.	%	No.	%
< 20
Exposed	3280	82	502	12.55	160	4	58	1.45
Unexposed	3802	95.05	128	3.2	50	1.25	20	0.5
20-29
Exposed	2992	74.8	518	12.85	312	7.8	178	4.45
Unexposed	3759	94	141	3.5	71	1.775	29	0.725
30-39
Exposed	2804	70.1	622	15.55	362	9.05	212	5.3
Unexposed	3794	94.85	86	2.15	90	2.25	30	0.75
40-49
Exposed	2628	65.7	681	17.025	403	10.075	288	7.2
Unexposed	3586	89.65	292	7.3	82	2.05	40	1
≥50
Exposed	2538	63.45	708	17.7	450	11.25	304	7.6
Unexposed	3519	87.975	309	7.725	92	2.3	80	2

 

 

 

 

 

 

The present study was conducted in and around district Khanewal. In this study, a comparison between the pesticide retailers and pesticide unexposed workers was undertaken. About 100 samples of the pesticide retailers and 100 samples of the pesticide unexposed persons were collected. The age of the farmers was divided into five groups. Their working experience with pesticides was also examined as reported by Chuisseu et al. (2015). A questionnaire was also made for the purpose of checking their clinical abnormalities. The main purpose of conducting this research is to evaluate the oxidative stress and DNA damage due to the exposure of pesticides. The pesticides retailers don’t use any personal protective equipment. The carelessness adopted by pesticide retailers is due to lack of proper knowledge and illiteracy. This study is in line with the study of (Jacobsen-Pereira et al., 2018).

In mineral analysis, the results showed the highest values of potassium, phosphorous and sodium in cardiac patients while the calcium level is highest in throat infection as compared to other diseases in exposed group. The effect of continuous and less amount of exposure to different mixtures of pesticides is linked with oxidative stress, single and double strand breaks of DNA, and cross links. When DNA damage is not repaired or repaired mistakenly, can persist and accumulate, triggering mutagenic processes and causing significant cytogenetic changes as studied by (Kaur and Kaur, 2018). Similarly, the study by Meeker et al. (2008) indicates a link between urinary metabolites of insecticides and increased sperm DNA damage, although the specific pesticides and underlying biological mechanisms remain unclear. Consistent with these findings, the comet assay used to estimate DNA damage in both pesticide-exposed and unexposed workers revealed a significant increase in DNA damage in the exposed group, while the unexposed group showed non-significant DNA damage. The damaged DNA showed a greater tail length than the slightly damaged cells. As the age of the workers increases the rate of DNA damages also increases because of their working experience similar with the results of (Intranuovo et al., 2018).

Conclusions and Recommendations

Results showed that the chance of the occurrence of certain diseases is greater in the pesticide retailers because of their un-protective handling of pesticides in comparison with the unexposed group. Most frequently occurring diseases are throat infection, nasal allergy, skin allergy, fever, cough, diabetes, hepatitis, blood pressure, cardiac problem and asthma. The mean and standard deviations of different parameters are high in different diseases in exposed group as compared with the unexposed. The biochemical changes of different parameters showed that pesticide exposure causes the oxidative stress. The effect of continuous and less amount of exposure to different mixtures of pesticides is linked with oxidative stress, single and double strand breaks of DNA, and cross links. The comet assay is used for the estimation of DNA damage in the pesticide exposed and unexposed workers. The results showed that there is significant increase of DNA damage in the pesticide exposed group while the DNA damage is non-significant in the unexposed group. Comet assay results are divided into 4 groups undamaged, slightly damaged, damaged and highly damaged lymphocytes. The highly damaged DNA showed a greater tail length than the other damaged and slightly damaged cells. As the age of the workers increases the rate of DNA damage also increases because of their working experience.

It is concluded that pesticides cause clinical and hematological abnormalities, serum biochemical alterations and genotoxic effects. In future, there is a need to form training institutes that teach the retailers about safety measures. Alternative to these synthetic chemicals are required which are only targeted toward the unwanted species.

Policy implications

The research findings entail significant policy implications. From occupational health and safety (OSHA) standpoint, there is a pressing need of capacity building and sensitization of the workers and the pesticide retailers regarding OSHA concerns and far-reaching economic implications of pesticide exposure and associated health abnormalities and risks thereon. Strict policies and regulations are required mandating the use of personal protective gear by the pesticide retailers and the workers alike. It calls for making stricter regulations by the government and launching a comprehensive awareness campaign. Regular training on safe handling of pesticide and disposal must be imparted. Further, a well-funded monitoring system should be in place to detect health anomalies among workers exposed to pesticides as the adverse health effects of toxic materials on agricultural laborers can lead to decreased productivity, reduced work capacity, and absenteeism, affecting the country’s economy as the livelihood of a large population in South Punjab is dependent upon agriculture sector. Comprehensive occupational health insurance coverage should be introduced to support and compensate the affected workers. Furthermore, it is critical to understand that the financial ramifications of pesticide use extend beyond healthcare costs, emphasizing the need for safer, more environmentally friendly farming practices. Large-scale investments are required to develop surveillance systems, develop safe alternatives to pesticides, promote organic farming, and fund research for innovative detoxification treatments. The sooner the policy actors act, the better.

Acknowledgements

We are grateful to NRPU Project# 3392 entitled Monitoring of Adverse Effects of Pesticide Exposure on Health of Agriculture and Industrial Workers and their amelioration with vitamin C and E for providing the funds to conduct this research, and thankful to the staff of Aquaculture, Genetic Toxicity, and Molecular Biology Laboratory, Department of Zoology, IUB.

Novelty Statement

This research presents a pioneering comprehensive investigation into the effects of pesticides in a structured and systematic manner, providing valuable insights for retailers dealing with pesticides.

Author’s Contribution

Abdul Ghaffar: Supervision, Conceptualization, Formal analysis.

Maria Niaz: Executed sampling and data collection and laboratory work.

Ghulam Abbas: Formal analysis, Data curation.

Riaz Hussain and Fozia Afzal: Writing review and editing.

Habiba Jamil: Data curation.

Shahzad Ali Gill, Aliya Noreen, Ahrar Khan, Rabia Tahir and Muhammad Ahmad Chishti: Reviewed, edited, and formatted the manuscript.

Conflict of interest

The authors have declared no conflict of interest.

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