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Environ Anal Health Toxicol > Volume 39:2024 > Article
Moronkeji, Olayanju, Adeniyi, Atere, Moronkeji, Igunbor, Oyeleke, and Akinbo: Oxidative stress response to gasoline generator exhaust emission in adult male wistar rats

Abstract

Petroleum-powered generators are commonly used in many developing countries as an alternative to meet utility demands. Generator exhaust emission significantly contributes to air pollution, which remains a constant threat to human health due to the presence of aromatic hydrocarbons and other harmful gases. This study assessed oxidative stress parameters in response to exhaust emission from gasoline generator engine in adult male wistar rats. Forty-eight (48) adult wistar rats weighing between 180-200g were randomly allocated to four (4) groups (A-D) of twelve (12) rats each. After the acclimatization period, the control group (A) were kept unexposed, whereas rats in groups (C-D) were exposed daily at 2, 4, and 8-hour intervals for 4, 8, and 12 weeks, respectively. Tissue samples were obtained at four weeks intervals. Fresh lung tissues weighing 1g were rinsed twice in phosphate-buffered saline (PBS, pH 8.0), homogenized and centrifuged at 3000 revolutions per minute for 20 min at 4°C. Supernatant levels of malondialdehyde (MDA), superoxide dismutase (SOD), glutathione peroxidase (GPx), glutathione S-transferase (GST), reduced glutathione (GSH), nitric oxide (NO), hydrogen peroxide (H2O2), catalase (CAT), and total antioxidant status (TAS) were determined using standard protocols. The findings revealed elevated oxidant levels of MDA, NO, and H2O2, whereas SOD, GPX, GST, GSH, CAT, and TAS were significantly reduced across the exposure time points compared to the unexposed control rats (p < 0.05). The research findings revealed that exposure to emissions from gasoline generators induced oxidative stress in the exposed rats, with the extent of disruption to their oxidative balance dependent on the duration and length of exposure time.

Introduction

The greatest environmental health concern to the entire world's population is air pollution. While 92 percent of the world's population is thought to breathe poisonous air, it is predicted to cause 7 million premature deaths annually [1, 2]. Polluting fuels continue to be an issue in low- and middle-income countries (LMICs), such as Nigeria, affecting 83 % of the African population. Children under the age of five living within the WHO African and Eastern Mediterranean areas are exposed to particulate matter (PM2.5) levels that exceed the World Health Organisation air quality standards. Furthermore, one in every eight fatalities worldwide in 2016 was attributed to the cumulative effects of ambient and residential air pollution, accounting for 7 million deaths, including around 543,000 deaths in children under the age of five and 52,000 deaths in children aged five to fifteen [3]. Data from the World Bank indicates that approximately 72 % of the Nigerian population is exposed to PM2.5 levels above the WHO guideline threshold, and several cities, notably megacities, have air quality rules that exceed the requirements of air pollution [4, 5]. Due to a shortage of energy, irregular power supply, or lengthy power outages, homes and companies have had to rely largely on privately owned generators to meet their power requirements. The classification of air pollution based on emittance and/or production sources has a global impact on morbidity and mortality, with industrial and biological operations emitting primary air pollutants into the atmosphere [2, 6, 7]. Particulate matter in ambient air is a complex combination of fine and ultrafine particles constituting chemical components, such as metals ions and organics, and its concentration has been linked to several clinical manifestations of various diseases, as well as morbidity and mortality caused by respiratory diseases in both humans and animals [8, 9]. The inhalation of coarse, fine and ultrafine particulate matter into the lungs via the nasal olfactory pathway adversely affects the health and can lead to local activation of immune cells thus leading to a systemic increase in circulating cytokines which causes secondary tissue damage as well as cardiovascular events and atherosclerosis [6, 10, 11, 12]. Our previous investigations on the genotoxic and histopathological impacts of gasoline engine emissions demonstrated the detrimental impact of exhaust emissions in mammalian cells with associated organs such as the liver and kidneys, as well as haematological abnormalities identified [13, 14, 15], Furthermore, studies by Ifegwu et al [16] also reported the harmful impact of Polycyclic Aromatic Hydrocarbons (PAHs), a major component of gasoline generator emissions, had a deleterious impact in adult Swiss male rats. Additional investigations utilising mouse models confirmed that the smoke from the tyres contains particulate matter (PM), further demonstrating that the inhalation of PM is related to undesired toxic consequences such as cardiopulmonary toxicity. When burned, fossil fuels used to power petrol and diesel generators emit pollutants such as nitrogen oxides (NOx), carbon monoxide (CO), sulphur oxides (SOx), carbon dioxide (CO2), particulate matter (PM2.5 and PM10), and so on, and they are a significant source of air pollution around homes and workplaces, with the toxins they emit contaminating the air we breathe and having health consequences [17]. Aromatics such as benzene, xylene, toluene, and ethylbenzene are large sources of particulate matter emissions via two principal ways which include incomplete combustion leading to soot emissions from the tailpipe, and a secondary organic aerosol formation, which in turn contributes to ultrafine particle formation [18]. Reactive oxygen species (ROS) refer to oxygen-containing molecules having reactive properties, including superoxide anion (O2•−), hydroxyl radical (HO•), and hydrogen peroxide (H2O2) [19]. They are essential for the immune system, redox balance maintenance, and the activation of numerous cellular signalling pathways, as well as the regulation of normal physiological functions such as cell cycle progression and proliferation, differentiation, migration, and cell death. However, excess accumulation of ROS within cells can damage macromolecules, membranes, nucleic acids and organelles, which activates cell death processes like apoptosis [20]. The mechanism by which air pollution impacts human health is extremely complicated and not well understood. According to a previous report by Adenubi and Mmom [21] generating sets have a significant impact on the concentration level of pollutants in relation to certain dwelling characteristics, which may put people at risk for contracting various diseases and disorders. Studies by Phosri et al. [22] reported a significant association between PM10, SO2, CO, NO2, and O3 increases the risk of respiratory hospital admissions. Anthropogenic human activities will continue to exacerbate air pollution, especially in emerging countries with inadequate infrastructure, urbanisation, and economic development. Consistent exposure to pollutants such as exhaust fumes from gasoline engines is unavoidable in Nigeria due to the country's enormous population and growing demand for energy to power its economy. The purpose of this study is to evaluate the oxidative stress response of adult male wistar rats to exhaust emissions from gasoline generator engines.

Materials and Methods

Animal husbandry

Forty-eight (48) adult male wistar rats weighing between 180 and 200 g were purchased from the animal holding of the University of Benin, Benin City, Nigeria. The rats were acclimatised for two weeks in well-ventilated cages at the University of Benin's Animal House in Nigeria, where they were allowed free access to a standard rodent diet and water ad libitum.

Experimental Design and Ethical Approval

The rats were randomly assigned into four groups consisting of the unexposed control group A and three test groups designated B, C, and D respectively, which were exposed to exhaust emissions from a brand-new manual start yellow petrol generator set (Elepaq Yaofeng constant 1.5KVA model SV2500) with petrol capacity of 6.0 litres, AC output of 220 V, and DC output of 12V/8 [15, 16]. While rats in Group A were not exposed to exhaust fumes from gasoline generator engines, rats in Groups B, C, and D were subjected for 12 weeks at 2, 4, and 8-hour intervals. The Biomedical Research and Ethics Committee of the Ministry of Agriculture, Benin City, Edo State, approved the experimental protocol used in this study under registration number V.1040/77, with animals treated following the International Humane Animal Care Standards [23].

Tissue preparation for oxidative stress parameters

The rats were euthanized by cervical dislocation and 1g of freshly obtained lung tissues were rinsed twice in freshly prepared 0.1 mol L-1 phosphate-buffered saline (PBS, pH 8.0) and homogenized using a homogenizer with 10 % (w/v) of the buffer as described by Kalinovic et al. [24]. The centrifuged lung homogenate was processed for the estimation of oxidative stress parameters in the supernatant.

Biochemical assay

The malondialdehyde (MDA) in the lung tissue homogenate was estimated using the thiobarbituric acid reaction technique, with the reaction mixture absorbance measured at 532nm [25] and superoxide dismutase (SOD) activity was evaluated spectrophotometrically based on the inhibition of superoxide-driven NADH-oxidation as described by Paoletti et al. [26]. Following the manufacturer’s instructions, Hydrogen peroxide (H2O2) levels and the activities of Glutathione peroxidase (GPX), glutathione S-transferase (GST), reduced glutathione (GSH) and catalase (CAT) were carried out with commercially available kits purchased from Elabscience Biotechnology Inc. USA while Nitric oxide (NO) values were assessed using the Griess Reaction as reported by Ridnour et al. [27]. The generation of the ABTS [2,20-azinobis-3(- ethylbenzothialozine-6-sul-fonic acid)] radical cation forms the basis of one of the spectrophotometric methods for determining the total antioxidant status (TAS), which was evaluated spectrophotometrically according to the manufacturer's protocol to determine the Total antioxidant status using the commercially available Randox TAS assay kit [28].

Statistical analysis

The data were analysed using one-way analysis of variance (ANOVA) with the Statistical Package for Social Science (SPSS) Version 25 (SPSS, Cary, NC, USA). Results were presented as mean ± standard deviation. Student's t-tests evaluated exposure effects at 2, 4, and 8-hour time points in the test group versus unexposed controls over weeks with p < 0.05 considered statistically significant.

Results

Oxidative stress parameters in lung tissue homogenate

The exposure to gasoline generator exhaust fume led to elevated MDA, NO, H2O2 and a decline in the SOD, GPX, GST, GSH and TAS levels across the various exposure time points of 2 hr, 4 hr and 8 hr relative to the control rats at four weeks (Figure 1). Comparative analysis revealed a significantly elevated MDA value at the time points of 2 hr, 4 hr and 8 hr when compared to the control (p < 0.05) whereas comparison across the exposure time points of 2 hr vs 4 hr, 2 hr vs 8 hr and 4 hr vs 8 hr was not significant (p > 0.05). While the SOD values were significantly reduced across the various exposure time points relative to the control rats (p < 0.05), comparative analysis across the exposed group was significantly reduced only at the 2 hr vs 8 hr (p < 0.05) exposure time points while 2 hr vs 4 hr and 4 hr vs 8 hr were statistically insignificant (p > 0.05) (Table 1).
Elevated MDA, NO, and H2O2 values were observed in the exposed rats while reduced SOD, GPX, GST, GSH, CAT and TAS values were observed in the exposed rats across the time points of 2 hr, 4 hr and 8 hr exposure to gasoline generator exhaust fume at 8 weeks (Figure 2). Comparative analysis of the MDA values in the exposed rats was significantly increased across the exposure time points of 2 hr, 4 hr and 8 hr relative to the unexposed control (p < 0.05) while comparison across exposure time points of 2h vs 8hr was not significantly increased (p > 0.05). The SOD, GPX, GST, and GSH values were significantly reduced across the various exposure periods of 2 hr, 4 hr, and 8 hr relative to the control whereas significantly elevated values of NO and H2O2 were observed in the exposed rats (p < 0.05). The CAT and TAS values across the exposure time points of 2 hr, 4 hr and 8 hr were significantly reduced when compared to the control (p < 0.05). In addition, while comparative analysis of TAS value across the exposure time points was significantly reduced at 4 hr of exposure when compared to the 2 hr and 8hr exposed rats (p<0.05), CAT values were not significantly decreased at 2 hr vs 8 hr (p > 0.05) (Table 2).
Elevated MDA, NO and H2O2 levels were observed in the rats exposed rats at various exposure time points when compared to the control rats whereas reduced SOD, GPX, GST, GSH, CAT and TAS values were evident across various exposure time points relative to the unexposed control group at 12 weeks (Figure 3). The comparative analysis of the oxidative stress parameters revealed a significantly elevated MDA level in the exposure time points relative to the control at week 12 (p < 0.05) while comparison across the exposure period was significantly elevated in the 2 hr exposed rats relative to the 8 hr exposure time points with no significant variation at the 2 hr vs 8 hr and 4 hr vs 8 hr exposure periods (p > 0.05). The SOD, GPX, GSH, TAS and CAT values were significantly reduced across the exposure time points relative to the control while NO and H2O2 values were observed to be significantly elevated at 4 and 8-hour exposure time points relative to the control (p < 0.05) (Table 3).
Comparative analysis of oxidative stress parameters across the weeks showed that significantly elevated MDA levels were observed in the rats at the 12th week when compared with exposure at 8 weeks (p < 0.05) whereas the 4 hr daily exposure significantly caused an increase at 4 weeks vs 8 weeks and 8 weeks vs 12 weeks (p < 0.05). Significantly reduced SOD values in the 2 hr exposure time points were only evident at 4 vs 8 weeks and 4 vs 12 weeks (p < 0.05) while other groups were statistically insignificant (p > 0.05). The GPX value was not significantly affected across the various time points of exposure when compared across the weeks (p > 0.05) while the GST value was significantly reduced at 2 hr exposure periods at 4 weeks vs 8 weeks and 4 weeks vs 12 weeks as well as 8-hr exposure at 4 weeks vs 8 weeks and 8 weeks vs 12 weeks respectively (p < 0.05) (Table 4). Only rats that had daily exposure for 2 hr at 4 weeks vs 12 weeks and 8 weeks vs 12 weeks, respectively, had a substantial reduction in their GSH values (p < 0.05), whereas NO value when compared across exposure durations showed that only rats exposed for 4 hr at 4 weeks vs. 12 weeks had a significantly elevated NO values (p < 0.05). H2O2 levels were significantly elevated in rats exposed for 4 hr at 4 weeks vs 12 weeks and 8 weeks vs 12 weeks respectively (p < 0.05). Rats exposed for 4 hr and 8 hr revealed significantly reduced CAT values (p < 0.05), except for rats exposed for 8 hr daily at 8 weeks vs 12 weeks that showed no significant variation in CAT values (p > 0.05).
The TAS value in the exposed rats was significantly reduced at 2 hr of exposure at 8 weeks vs 12 weeks, also at the 4 hr exposure periods at 4 weeks vs 8 weeks and 8 weeks vs 12 weeks, respectively (p < 0.05) while exposure at 8 hr time points was significantly elevated at 4 weeks vs 8 weeks and 4 weeks vs 12 weeks respectively (p < 0.05) (Table 4).

Discussion

The oxidative stress parameters evaluated in this study revealed the deleterious impact of gasoline generator exhaust in the exposed rats. Observation in this study indicated that rats sub-acutely and chronically exposed to gasoline generator exhaust had derangement in the oxidant-antioxidant ratio. Inhaling petroleum hydrocarbons has been linked to oxidative stress, which may play a role in the development of respiratory dysfunction [15, 29]. The oxidative stress parameters in the lungs of exposed rats showed elevated oxidant (MDA, NO and H2O2) levels and a decline in antioxidant levels (SOD, GPx, GST, GSH, and CAT) in the exposed rats across the weeks at the various time points of exposure (4, 8 and 12 weeks) suggests an impaired ability to counteract the harmful effects of ROS, further exacerbating oxidative stress. The finding aligns with Xu et al. [10] and Afsar et al. [30] who reported the adverse effects of particulate matter on the lungs, including elevated oxidative stress, inflammation, impairment of phagocytosis, dysregulated cell immunity, epigenetic modification, and disruption of cellular signalling pathways. Also, spillover can cause systemic inflammation and oxidative stress, which can activate leukocytes, and platelets and increase myeloperoxidase coupled with elevated cytokine expression and depleted antioxidant levels observed in this study [13]. Ifegwu et al [16] also reported an increase in 1-hydroxypyrene blood concentration levels after 42 days of exposure, depending on the distance from the source of exposure, while Obasi et al. [31] reported that exposure to particulate matter daily for 21 days at exposure periods of 15, 30, 60, and 120 minutes caused biochemical parameter derangement in the exposed rats. In this study, the antioxidant activities of GPX, GST, GSH, and CAT, which are known to mop up free radicals in the body, were shown to be reduced in the exposed rats, leading to a significant decline in the total antioxidant status across all exposed groups.
The total antioxidant status is a measure of the combined activity of all antioxidants present in the body, including enzymatic antioxidants like SOD, CAT, and GPx, as well as non-enzymatic antioxidants such as glutathione and vitamins [32]. The TAS reflects the overall antioxidant capacity and plays a crucial role in maintaining the oxidant-antioxidant balance within the body. In this study, the TAS levels were significantly reduced in the rats exposed to gasoline generator exhaust emissions across all exposure time points (2 hr, 4 hr, and 8 hr) and durations (4, 8, and 12 weeks) compared to the unexposed control group. This depletion in TAS was observed in conjunction with elevated levels of oxidants like MDA, NO, and H2O2, as well as decreased levels of individual antioxidant enzymes such as SOD, GPx, GST, and GSH.
The comparative analysis across different exposure time points and weeks revealed significant reductions in TAS values in specific exposure conditions. Rats exposed daily for 2 hr showed a significant decrease in TAS at 8 weeks vs. 12 weeks, while those exposed for 4 hr exhibited significantly reduced TAS at 4 weeks vs. 8 weeks and 8 weeks vs. 12 weeks. Rats exposed for 8hr had a significantly elevated TAS at 4 weeks vs. 8 weeks and 4 weeks vs. 12 weeks, suggesting a potential adaptive response or variable antioxidant dynamics at different exposure durations. The depletion of TAS in the exposed rats can be attributed to the increased oxidative stress induced by gasoline generator exhaust emissions.
As the levels of ROS and oxidants rise, the antioxidant defence mechanisms are overwhelmed, leading to a decrease in the overall antioxidant capacity [19, 33, 34]. This imbalance between oxidants and antioxidants can result in oxidative damage to cellular components, such as lipids, proteins, and nucleic acids, potentially contributing to the development of various diseases and adverse health effects [12, 35]. The study indicates that exposure to exhaust emissions from gasoline engines impairs oxidant-antioxidant homeostasis. In rats with underlying chronic obstructive lung disease, exposure to air pollution exacerbates inflammation, as reported by Wang et al. [36]. Reactive oxygen species production is initiated by oxidative stress, intracellular reactive oxygen species, and exogenous environmental factors. Oxidative stress then causes DNA/lipid/protein degradation, which results in apoptosis, autophagy, necrosis, and the production of proinflammatory cytokines [33]. Through lipid peroxidation, protein carbonyl formation, and glutathione oxidation, oxidative stress causes an excessive buildup of reactive oxygen and nitrogen species within the cell, which can harm macromolecules like DNA, RNA, and proteins. It also causes an imbalance in the cell's oxidant-antioxidant system [34]. Various diseases ranging from cardiovascular disease, diabetes mellitus, immunological disorders, asthma, and chronic respiratory disease could be induced as a result of particulate matter selectively bioaccumulation in various organs [37]. However, the heterogenicity of the gasoline exhaust fume makes the mechanism unclear [38]. Studies have indicated that air pollution can adversely impact lung function, with particulate matter traversing the bloodstream to bioaccumulate in other regions of the body thus impairing their function [15, 39]. According to Rossner et al. [40], air pollution adversely impacts the cells at the molecular level by damaging macromolecules, resulting in protein or DNA adducts, nucleic acid strand breaks, and modifications that may be predisposed to mutations, which can further initiate carcinogenesis. Furthermore, environmental and occupational exposure to gasoline combustion exhaust in automobiles increases cancer risk [18]. Studies by Choi et al. [37] also documented the adverse effects of PM and their role in disease development coupled with alteration in the oxidantantioxidant homeostasis and elevated proinflammatory indicators [41] while Afsar et al. [30] indicated that exposure to PM could trigger an inflammatory response, endothelial dysfunction, autonomic nervous system imbalance, oxidative stress, increase white blood cell and fibrinolytic levels, plasma viscosity, and insulin resistance, all of which could negatively affect the kidneys by resulting in vascular damage, intraglomerular hypertension, glomerulosclerosis, and tubulointerstitial damage that results in chronic kidney disease. As seen in this study, exposure to exhaust emissions from gasoline generator engines elevates biomarkers that can contribute to tissue damage and inflammation. The comparative analysis across different exposure time points and weeks revealed significant changes in the oxidative stress parameters, indicating a time/exposure-dependent response to exhaust exposure. Furthermore, this study found that exposure to exhaust emissions from gasoline generator engines coupled with clastogenic components can alter the biochemical and physiological processes thus predisposing to the development of various diseases.

Conclusions

This study demonstrated the detrimental effect of gasoline generator exhaust exposure on mammalian cells. Exhaust emissions from gasoline generators induced intracellular oxidative stress in rats in a time and exposure-dependent manner, with substantial increases in NO, MDA, and H2O2, as well as depletion of antioxidant markers GPX, GST, GSH, CAT, and TAS. It proved how hazardous petrol generator exhaust pollutants could be to human redox balance and lung health, especially in urban areas with limited energy and extensive usage of petrol generators. Long-term exposure to these pollutants has the potential to deplete antioxidant reserves, resulting in an imbalance between antioxidants and oxidants and the accumulation of hazardous ROS in lung tissues. Oxidative stress increases the risk of respiratory disorders such as asthma, COPD, and lung cancer by producing cellular damage, inflammation, and impaired lung function. The ability to counteract the effects of ROS is further compromised by the depletion of antioxidant enzymes and decreased total antioxidant status.

Recommendation

Electricity is the favoured energy source because it promotes urbanisation, higher living standards, industrial expansion, and economic growth. It is proposed that cleaner energy policies and efforts in energy generation and utilisation be implemented rather than thermal plants and a strong dependence on fossil fuels since this would help in reducing atmospheric pollution and so improve air quality.

Notes

Acknowledgement
Not applicable.
CRediT author statement
AM & FOA: Conceptualization; MCI & AO: Methodology; AM: Formal analysis AM & AO: Investigation TDA: Resources AM: Data Curation AM & AIM: Writing- Original draft preparation AO & ADA: Writing- Reviewing and Editing FOA: Supervision.

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Figure 1.
Chart showing the oxidative stress parameters across various exposure time points at 4 weeks.
eaht-39-4-e2024030f1.jpg
Figure 2.
Chart showing the oxidative stress parameters across various exposure time points at 8 weeks.
eaht-39-4-e2024030f2.jpg
Figure 3.
Chart showing the oxidative stress parameters across various exposure time points at 12 weeks.
eaht-39-4-e2024030f3.jpg
Table 1.
Comparative analysis of the oxidant and antioxidant parameters across the various groups at 4 weeks.
Parameter P-value Control vs 2 hr Control vs 4 hr Control vs 8 hr 2 hr vs 4 hr 2 hr vs 8 hr 4 hr vs 8 hr
MDA (µmol/L) ‘p’ 0.007 * 0.01 * 0.002 * 0.36 0.08 0.06
SOD (U/mL) ‘p’ 0.0008 * 0.003 * 0.004 * 0.48 0.02 * 0.08
GPx (U/mL) ‘p’ 0.01 * 0.02 * 0.0004 * 0.08 0.09 0.08
GST (U/mL) ‘p’ 0.0002 * 0.001 * 0.0006 * 0.0008 * 0.01 * 0.007 *
GSH (nmol/mL) ‘p’ 0.00003 * 0.00002 * 0.0004 * 0.05 0.14 0 43
NO (nmol/mL) ‘p’ 0.002 * 0.0002 * 0.004 * 0.18 0.10 0.04 *
H2O2 (nmol/mL) ‘p’ 0.06 0.006 * 0.01 * 0.36 0.08 0.08
CAT (U/mL) ‘p’ 0.00001 * 0.00001 * 0.0007 * 0.21 0.01 * 0 .009 *
TAS (mmol/l) ‘p’ 0.007 * 0.008 * 0.002 * 0.14 0.30 0.10

* p-values < 0.05 are considered to be statistically significant.

2hr: 2 hours daily exposure, 4hr: 4 hours daily exposure, 8hr: 8 hours daily exposure.

Table 2.
Comparative analysis of the oxidant and antioxidant parameters across the various groups at 8 weeks.
Parameter P-value Control vs 2 hr Control vs 4 hr Control vs 8 hr 2 hr vs 4 hr 2 hr vs 8 hr 4 hr vs 8 hr
MDA (µmol/L) ‘p’ 0.03 * 0.02 * 0.009 * 0.04 * 0.40 0.02 *
SOD (U/mL) ‘p’ 0.0005 * 0.0006 * 0.001 * 0.07 0.004 * 0.01*
GPx (U/mL) ‘p’ 0.0002 * 0.009 * 0.001 * 0.12 0.15 0.30
GST (U/mL) ‘p’ 0.0004 * 0.009 * 0.00001 * 0.06 0.04 * 0.20
GSH (nmol/mL) ‘p’ 0.01 * 0.004 * 0.02 * 0.31 0 .12 0.03 *
NO (nmol/mL) ‘p’ 0.03 * 0.04 * 0.0002 * 0.44 0.19 0.19
H2O2 (nmol/mL) ‘p’ 0.01 * 0.04 * 0.0005 * 0.48 0.23 0.27
CAT (U/mL) ‘p’ 0 .02 * 0.001 * 0.01 * 0.02 * 0.25 0.002 *
TAS (mmol/l) ‘p’ 0.0001 * 0.00002 * 0.00005 * 0.02 * 0.02 * 0.0002 *

* p-values < 0.05 are considered to be statistically significant.

2hr: 2 hours daily exposure, 4hr: 4 hours daily exposure, 8hr: 8 hours daily exposure.

Table 3.
Comparative analysis of the oxidant and antioxidant parameters across the various groups at 12 weeks.
Parameter P-value Control vs 2 hr Control vs 4 hr Control vs 8 hr 2 hr vs 4 hr 2 hr vs 8 hr 4 hr vs 8 hr
MDA (µmol/L) ‘p’ 0.002 * 0.02 * 0.02 * 0.35 0.04 * 0.16
SOD (U/mL) ‘p’ 0.005 * 0.004 * 0.007 * 0.14 0.31 0.30
GPx (U/mL) ‘p’ 0.001 * 0.0008 * 0.0005 * 0.19 0.24 0 03 *
GST (U/mL) ‘p’ 0.002 * 0.008 * 0.003 * 0.43 0.31 0.31
GSH (nmol/mL) ‘p’ 0.00003 * 0.00008 * 0.0001 * 0.007 * 0.003 * 0.15
NO (nmol/mL) ‘p’ 0.19 0.005 * 0.007 * 0.34 0.46 0.10
H2O2 (nmol/mL) ‘p’ 0.18 0.005 * 0.008 * 0.34 0.46 0.10
CAT (U/mL) ‘p’ 0.004 * 0.002 * 0.00004 * 0.05 0.19 0.03 *
TAS (mmol/l) ‘p’ 0.006 * 0.01 * 0.03 * 0.004 * 0.003 * 0.06

* p-values < 0.05 are considered to be statistically significant.

2hr: 2 hours daily exposure, 4hr: 4 hours daily exposure, 8hr: 8 hours daily exposure.

Table 4.
Comparative analysis of the oxidative stress parameters across the various time points in relation to the weeks.
Parameter P-value 2 hr
4 hr
8 hr
4 weeks vs 8 weeks 4 weeks vs 12weeks 8 weeks vs 12weeks 4 weeks vs 8 weeks 4 weeks vs 12weeks 8 weeks vs 12weeks 4 weeks vs 8 weeks 4 weeks vs 12weeks 8 weeks vs 12weeks
MDA (µmol/L) ‘p’ 0.20 0.11 0.04* 0.03* 0.22 0 .03* 0.07 0.03 0.29
SOD (U/mL) ‘p’ 0.01* 0.01* 0.11 0.24 0.19 0.33 0.26 0 .38 0.21
GPx (U/mL) ‘p’ 0.47 0.43 0 37 0.12 0.08 0.25 0.26 0.10 0.10
GST (U/mL) ‘p’ 0.009* 0.008* 0.50 0.35 0.06 0.13 0.04* 0.39 0.04*
GSH (nmol/mL) ‘p’ 0.22 0.03* 0.03* 0.13 0.23 0.08 0.22 0.14 0.31
NO (nmol/mL) ‘p’ 0.36 0.37 0.40 0.33 0.02* 0.07 0.44 44 0.38
H2O2 (nmol/mL) ‘p’ 0.16 0.35 0.43 0.27 0.03* 0.08* 0.47 0.44 0.41
CAT (U/mL) ‘p’ 0.44 0.31 0.30 0.004* 0.008* 0.002* 0.03* 0.04* 0.45
TAS (mmol/l) ‘p’ 0.26 0.50 0.02* 0.04* 0.27 0.003* 0.0003* 0.01* 0.16

* p-values < 0.05 are considered to be statistically significant.

2hr: 2 hours daily exposure, 4hr: 4 hours daily exposure, 8hr: 8 hours daily exposure.

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