Literature DB >> 34557051

Effect of Gasoline Exposure on Hematological Parameters of Gas Station Workers in Mekelle City, Tigray Region, Northern Ethiopia.

Gebre Teklu1, Mikias Negash2, Tsegay Asefaw1, Feven Tesfay1, Gebreslassie Gebremariam1, Gebreyohannes Teklehaimanot1, Mistire Wolde2, Aster Tsegaye2.   

Abstract

BACKGROUND: The adverse health effects of chronic gasoline exposure may be related to impairment of the hematopoietic system with bone marrow suppression, an increased risk of blood cell morphology abnormality and developing cancer.
OBJECTIVE: To assess the effect of gasoline exposure on hematological parameters among gas station workers in Mekelle City, Tigray Region, Northern Ethiopia.
METHODS: This cross-sectional study was carried out on 43 subjects (exposed group) and 77 subjects (unexposed group) with matched age and sex. Socio-demographic characteristics and duration of exposure data were collected using a structured questionnaire and an observation checklist. Sysmex XP-300 was used for hematological analysis and stained peripheral blood smear was examined for any abnormality. Data were entered and analyzed using SPSS version 23.
RESULTS: Of exposed individuals, 28/43 (65.1%) and 49/77 (63.6%) of controls were males. The average exposure time was 5.19±4.38 years, with an average working hour of 11.74±1.89 hours/day. The mean RBC count (1012/L), HCT (%), HGB (g/dl) and platelets count (109/L) of the exposed group were significantly lower (4.88±0.573, 43.29±3.71, 15.04±1.33 and 248.95±58.19) compared with controls (5.35±0.533, 44.95±3.10, 15.59±1.26 and 292.45±62.17) at p<0.05, respectively. The MCH (pg) (30.48±2.06 vs 29.52±1.66) and MCHC (g/dl) (34.83±0.988 vs 34.32±0.927) were significantly higher in the exposed group compared with controls (p<0.05). HCT, RBC, HGB and platelet counts were significantly decreased with increased years of exposure (p<0.05). The peripheral blood film examination revealed basophilic stippling and macrocytosis in 9.3% of the exposed group.
CONCLUSION: Long-term exposure to gasoline at gas stations affected RBC parameters and platelet count. A significant negative correlation was noted between duration of exposure and HGB, HCT and platelet count, warranting implementation of protective measures at gas stations.
© 2021 Teklu et al.

Entities:  

Keywords:  gas station; gasoline; hematological parameters; petroleum

Year:  2021        PMID: 34557051      PMCID: PMC8453173          DOI: 10.2147/JBM.S286743

Source DB:  PubMed          Journal:  J Blood Med        ISSN: 1179-2736


Introduction

Changes in blood parameters are probably the early detectable variations under stress conditions like gasoline exposure and used for assessing the health condition of exposed individuals.1,2 Exposure to several chemicals is implicated in the derangement of hematological profile with characteristic pancytopenia, mainly aplastic anemia and an increased risk of developing cancer (acute myeloblastic leukemia). Morphological effect on red blood cells (RBCs) like microcytosis and inclusion also occurs.3–5 Gas station workers are exposed to gasoline by inhalation during refilling or through contaminated food at service stations.6 Gasoline is a very volatile liquid, with several organic and inorganic constituents.6 Some of its constituents are known to be highly toxic or carcinogenic to humans.7,8 Many of the toxicological effects associated with the exposure to gasoline can be attributed to specific components of gasoline, such as benzene, toluene, ethylene and xylene, which are also known as volatile organic compounds (VOCs).8 Effects of gasoline exposure are time dependent. If unprotected individuals are exposed for long periods, it may lead to permanent suppression of bone marrow functioning, accompanied by reduction in the formation of new blood cells causing aplastic anemia.1,9,10 Such disorders are believed to be caused by toxic Benzene metabolites. Benzene is metabolized in the liver to its primary metabolite phenol by cytochrome P4502E1 (CYP2E1) through the benzene oxide intermediate. It is subsequently metabolized by CYP2E1 to hydroquinone (HQ).11,12 HQ is transported to the bone marrow and oxidized to benzoquinones, which eventually release reactive oxygen species (ROS) damaging hematopoietic cells.14,15 Therefore, chronic exposure to benzene is believed to be associated with many bone marrow failures and hematological malignancies like acute myeloid leukemia (AML), aplastic anemia myelodysplastic syndrome, acute lymphoblastic leukemia and chronic myeloid leukemia.13,16 Several authors have reported that toxicity of gasoline comes mainly from benzene metabolites.11–15 According to existing evidence, petroleum hydrocarbons have the potential to cause deoxyribo nucleic acid (DNA) damage in gasoline-exposed individuals and exposure to petrol vapor induces genotoxic effects, confirming that the gas station workers have a high risk of cancer due to their daily occupational exposure.17,20,21 Once gasoline is inhaled, benzene, as the main ingredient of gasoline, enters the lungs then is passed to the blood stream from which it goes to the liver, where three main phenolic metabolites of benzene are released, transient phenol and accumulated hydroquinone and catechol, in relatively high concentrations.18,19 Benzene is a lipophilic agent, so its metabolites go directly to fatty tissues such as bone marrow where actual toxic species are generated.15,19,22 It has been shown that genetic polymorphisms of xenobiotic metabolizing enzymes may modulate the susceptibility of individuals to toxic compounds like the glutathione S-transferase (GST) superfamily, which plays an important role in detoxification of various toxicants.23 It is reported that these enzymes are involved in detoxification of several toxins, including some of the compounds present in gasoline.24 Evidence is provided also for wide toxic effects of benzene metabolites with prolonged exposure including: pancytopenia and leucopenia24–26 and other blood disorders such as leukemia.26 The gasoline component has a known carcinogen primarily affecting the hematopoietic system. The effects of systemic gasoline exposure can cause acute and chronic clinical disorders of the cardiovascular, respiratory, neurological, gastrointestinal, liver, renal and dermatological local effects, and immunological, metabolic and allergic reactions. While several studies pointed to the risk of occupational exposure to gasoline on hematological profiles and other tests of the above disorders, there are no published studies in this regard in the country, so this study tries to address only the hematological profile of exposed attendants.

Materials and Methods

Study Design and Setting

A comparative cross-sectional study was conducted upon gas station attendants at Mekelle City during the period from January to April 2018. Mekelle is capital city of Tigray Regional State and is located in the Northern part of Ethiopia, at 783 km from the capital city of Ethiopia, Addis Ababa, with an elevation of 2254 meters (7395 feet) above sea level.

Study Population

Study Groups

There were 13 gas stations in Mekelle City and around the city. The study included 43 out of the total 49 gas station attendants, with a response rate of 87.8%. Adult males and females aged 18–60 years, working for at least six months at those gas stations and who volunteered to participate in the study were recruited.

Comparison Group

Seventy-seven age and sex matched apparently healthy non-exposed control participants from Mekelle University, Ayder Comprehensive Specialized Hospital Department of Medical Laboratory staff and graduate students were recruited in this study by using a non-probability convenient sampling method. Participants with the following data were excluded from the study: history of any acute infection, chronic diseases, individuals on medication affecting blood cell count and individuals with a blood disorder already.

Data Collection Process

Data was collected over a three-month period by questionnaire interviews focusing on socio-demographic data, years of exposure, working time (hours/day), knowledge of gasoline exposure, utilization of protective methods, health status, smoking habits and medication history.

Specimen Collection and Analysis

About 5 mL of blood was collected in Ethylene a Diamine Tetraacetic Acid (EDTA) test tube from participants who completed the questionnaire and who agreed to give blood. Four workers did not volunteer to participate, and an additional two were excluded due to acute infection and pregnancy cases. Complete blood count (CBC) tests, including total RBC count, total WBC count, Hb and Hct levels, total platelet, MCV, MCH, MCHC, mean platelet volume, and red blood cell distribution width (RDW), absolute and relative counts of lymphocyte and neutrophil, were analyzed using the 3-part hematological auto analyzer (Sysmex XP-300, Sysmex Corporation, Kobe, Japan) within 2 hours of blood collection. Sysmex XP-300 performs rapid and accurate analysis of a 17-parameter CBC, including a 3-part WBC differential.36

Data Quality Control

The quality of the collected blood and the participant information were ensured by collecting and processing using a standard operating procedure to address pre-analytical, analytical and post-analytical errors. Blood was collected using a standard operating procedure. The blood sample container was labeled with the participant’s unique code to minimize errors. The quality of the collected samples was checked for hemolysis, clot, correct volume, etc. Site assessment and pre-test of data collection were done prior to data collection and the data was checked for completeness, quality and clarity of questionnaire and modified accordingly. The reliability of the study findings, especially the analytical part, was guaranteed by implementing a quality control (QC) sample for the complete blood count and peripheral morphology through the whole process of laboratory works. The results of the complete blood count (CBC) and peripheral morphology were registered with correct values and units. Data were entered using double-entry method to trace data entry errors. Specimens were transported and analyzed within 2 hours of collection and, if delayed, refrigerated at 4–8 °C.

Data Analysis

Data were entered and statistically analyzed using the Statistical Package for the Social Sciences (SPSS) version 23. The one-way ANOVA test was used for analysis of variance between quantitative dependent variables and qualitative variables, such as the relationship between hematological parameters by duration of work, age group, level of education and so on. The multiple comparisons were made using the post hoc test for the duration of exposure. The independent samples t-test procedure was used to compare means of quantitative variables between gas station workers' and controls' hematological parameters. Pearson correlation coefficient was used to assess measured parameters with years of exposure, working hours and age. P-values less than 5% (p <0.05) at 95% confidence intervals was taken as statistically significant.

Ethical Considerations

The study was conducted after approval by the research and ethics committee of the Department of Medical Laboratory Sciences, College of Health Science of Addis Ababa University. The research committee is an authorized professional body for giving permission to researchers to conduct their studies with ethical concern in the area. An official letter of request was sent to Mekelle University, Ayder Comprehensive Specialized Hospital to obtain approval to carry out hematological analysis in the central laboratories. Written informed consent to voluntarily participate was obtained from all study participants after explaining the purpose of the study. The confidentiality of the data was also assured. After all, this study was conducted in accordance with the Declaration of Helsinki.

Results

Socio-Demographic Characteristics of the Study Participants

In this study, a total of 120 participants, 43 exposed and 77 controls, was enrolled. There was no statistically significant age and sex difference between the exposed and the control groups (p=0.444, p=0.540), respectively (Table 1).
Table 1

Socio-Demographic Profile of the Study Group Using t-Test and χ2 Tests at Mekelle City, Tigray Region, Northern Ethiopia, from January to March 2018 (n=120)

Confounding FactorsGas Station Attendant (n=43)Control Group (n=77)Test of Significance
Gender
 Male n (%)28 (65.1%)49 (63.6%)χ2 = 0.008, p=0.540
 Female n (%)15 (34.9%)28 (36.4%)
Age in years n (%)
 19–2617 (39.5%)29 (37.7%)
 27–3416 (37.2%)37 (48.1%)
 35–446 (14%)9 (11.7%)
 >454 (9.3%)2 (2.6%)
 Mean±SD30.09±8.4929.06±6.07t=0.768, p=0.444
Marital status
 Single n (%)22 (51.2%)
 Married n (%)21 (48.8%)

Abbreviation: SD, standard deviation.

Socio-Demographic Profile of the Study Group Using t-Test and χ2 Tests at Mekelle City, Tigray Region, Northern Ethiopia, from January to March 2018 (n=120) Abbreviation: SD, standard deviation.

Years of Exposure, Working Hours and Awareness Related to Gasoline Exposure

The average exposure time was 5.19±4.38 years (minimum 8 months and maximum 16 years), with an average daily exposure of 11.74±1.89 hours. The working hour was more than 12 hours/day among 58.1% of the participants. The highest number of workers, 17 (39.5%), had worked in the gas station for less than two years, whereas 12 (27.9%) and 14 (32.6%) of them worked 3–7 and for more than 8 years, respectively. All the study population had no history and habit of smoking cigarettes.

Hematological Profile of Gasoline Exposed and Control Groups

The means and standard deviations of hematological indices of exposed and unexposed groups are presented in Table 2. These results show that the hematological markers in both study groups were within the normal ranges. The absolute mean number of RBC (1012/L), percentages of hematocrit (%) (p<0.0001), level of hemoglobin (g/dl) (p=0.027) and absolute mean number of platelets (109/l) (p<0.0001) were significantly lower among the exposed subjects compared with the control group. The mean cell hemoglobin (pg) and mean cell hemoglobin concentration (g/dl) were significantly higher in the exposed participants compared with the control group, at p=0.006.
Table 2

Complete Blood Count Picture of the Study Group Using Independent Samples t-Test at Mekelle City, Tigray Region, Northern Ethiopia, from January to March 2018 (n=120)

ParametersExposed Group(n=43) (mean±SD)Control Group(n=77) (mean±SD)95% Confidence Interval of the Difference
LowerUpperp-value
RBC (×1012/L)4.88±0.5735.35±0.533−0.674−0.261p<0.001
HGB (g/d)15.04±1.3315.59±1.25−1.033−0.063p=0.027
HCT (%)43.29±3.7144.95±3.10−2.919−0.403p<0.010
MCV (fl)87.37±4.9885.87±4.360.2383.2260.090
MCH (pg)30.48±2.0629.52±1.660.3131.6860.006
MCHC (g/dl)34.83±0.9934.32±0.920.1530.8730.006
RDW (%)12.87±0.5912.95±0.84−0.4190.2530.626
WBC (×109/L)6.32±1.736.44±1.38−0.6920.4520.679
Lymphocyte (%)36.02±11.2034.71±10.04−2.6445.2540.514
Neutrophil (%)52.14±12.0554.72±10.44−6.7391.5890.223
Lymphocyte (×109/L)2.16±0.592.16±0.58−0.2240.2190.980
Neutrophil (×109/L)3.37±1.463.60±1.31−0.7450.2890.384
Platelet (×109/L)248.95±58.19292.45±62.17−66.418−20.583p<0.001
MPV (fl)10.74±1.2110.96±1.78−3.4923.0540.895

Abbreviations: HGB, hemoglobin; HCT, hematocrit; RBC, red blood cell; WBC, white blood cell; RDW, red cell distribution width; MCV, mean cell volume; MCH, mean cell hemoglobin; MCHC, mean cell hemoglobin concentration; g/dl, gram per deciliter; fl, femtoliter; pg, picogram.

Complete Blood Count Picture of the Study Group Using Independent Samples t-Test at Mekelle City, Tigray Region, Northern Ethiopia, from January to March 2018 (n=120) Abbreviations: HGB, hemoglobin; HCT, hematocrit; RBC, red blood cell; WBC, white blood cell; RDW, red cell distribution width; MCV, mean cell volume; MCH, mean cell hemoglobin; MCHC, mean cell hemoglobin concentration; g/dl, gram per deciliter; fl, femtoliter; pg, picogram.

Effects of Exposure to Gasoline on Hematological Parameters

The hematological parameters like HCT levels, RBC count, HGB concentration, platelet count, MPV value, lymphocyte percent and neutrophil percent decreased as years of exposure increased. Most participants exposed for longer than eight years had significantly lower values of hemoglobin (g/dl), PCV (%), RBC (1012/L) and platelet (109/L) compared to those exposed for ≤2 years as well as 3–7 years. The average values of RBC, HGB, HCT and platelet were similar between individuals exposed for <2 and 3–7 years (Table 3).
Table 3

Comparison of the Hematological Indices with Years of Exposure in Exposed Group Using Post Hoc Analysis at Mekelle City, Tigray Region, Northern Ethiopia, from January to March 2018 (n=43)

Years of ExposureParametersp-value
RBC(1012/l) (Mean±SD)
≤2 year vs 3–7 year5.17±0.40 vs 5.07±0.580.587
≤2 year vs ≥8 year5.17±0.40 vs 4.37±0.40<0.0001
3–7 year vs ≥8year5.07±0.58 vs 4.37±0.40<0.0001
HGB (g/dl)
≤2 year vs 3–7 year15.72±1.08 vs 15.25±1.550.271
≤2 year vs ≥8 year15.72±1.08 vs 14.03±0.70<0.0001
3–7 year vs ≥8year15.25±1.55 vs 14.03±0.700.010
HCT (%)
≤2 year vs 3–7 year45.15±2.94 vs 43.55±4.860.202
≤2 year vs ≥8 year45.15±2.94 vs 40.80±1.59<0.001
3–7 year vs ≥8year43.55±4.86 vs 40.80±1.590.041
WBC (109/L)
≤2 year vs 3–7 year5.90±1.28 vs 6.11±1.650.744
≤2 year vs ≥8 year5.90±1.28 vs 7.01±2.130.078
3–7 year vs ≥8year6.11±1.65 vs 7.01±2.130.187
LYM (%)
≤2 year vs 3–7 year37.47±9.84 vs 41.07±12.320.366
≤2 year vs ≥8 year37.47±9.84 vs 29.91±9.540.053
3–7 year vs ≥8year41.07±12.32 vs 29.91±9.540.010
NUE (%)
≤2 year vs 3–7 year50.80±10.47 vs 46.49±13.70.318
≤2 year vs ≥8 year50.80±10.47 vs 58.63±9.830.062
3–7 year vs ≥8year46.49±13.7 vs 58.63±9.830.009
Platelet (109/l)
≤2 year vs 3–7 year267.05±54.74 vs 280.16±39.070.472
≤2 year vs ≥8 year267.05±54.74 vs 200.21±45.54<0.0001
3–7 year vs ≥8year280.16±39.07 vs 200.21±45.54<0.0001

Abbreviations: HGB, hemoglobin; HCT, hematocrit; RBC, red blood cell; WBC, white blood cell; LYM, lymphocyte; NUETRO, neutrophil; CI, confidence interval; g/dl, gram per deciliter.

Comparison of the Hematological Indices with Years of Exposure in Exposed Group Using Post Hoc Analysis at Mekelle City, Tigray Region, Northern Ethiopia, from January to March 2018 (n=43) Abbreviations: HGB, hemoglobin; HCT, hematocrit; RBC, red blood cell; WBC, white blood cell; LYM, lymphocyte; NUETRO, neutrophil; CI, confidence interval; g/dl, gram per deciliter.

Correlation of Hematological Indices with Years of Exposure, Working Hours and Age of the Exposed Group at Mekelle City

As illustrated in Table 4, there was a negative correlation between RBC, HGB, HCT and platelet with years of exposure (r = −0.619, p<0.001, r = −0.581, p<0.001, r = −0.524, p<0.001, r = −0.499, p = 0.001), respectively. Whereas, absolute number of neutrophil was positively correlated with years of exposure (r = 0.337, p = 0.027). There was also a negative correlation of RBC (r = −0.418, p = 0.005), HGB (r = −0.368, p = 0.015) and platelet (r = −0.330, p = 0.030) with age.
Table 4

Correlation of Hematological Indices with Years of Exposure, Working Hours, and Age for the Exposed Group Using ANOVA Statistical Analysis at Mekelle City Tigray Region, Northern Ethiopia, from January to March 2018 (n=43)

ParametersYears of ExposureWorking HoursAge of Exposed
rp-valuerp-valuerp-value
RBC (109/l)−0.619<0.0010.2920.057−0.4180.005
HGB (g/dl)−0.581<0.0010.2660.085−0.3680.015
HCT (%)−0.5240.0000.3320.129−0.2700.080
MCV (fl)0.1520.330−0.1950.2090.1720.269
MCH (pg)0.0440.779−0.2730.0760.0500.750
WBC (109/l)0.2680.0820.0170.9120.1660.289
Lymphocyte (109/l)−0.0410.794−0.0540.730−0.0220.890
Neutrophil (109/l)0.3370.0270.0001.0000.1540.324
Platelet (109/l)−0.4990.0010.1600.307−0.3300.030
MPV (fl)0.2220.1530.2420.1170.1130.470

Note: Bold text is to indicate test is significant at p<0.05.

Abbreviations: HGB, hemoglobin; HCT, hematocrit; RBC, red blood cell; MCV, mean cell volume; MCH, mean cell hemoglobin; WBC, white blood cell; MPV, mean platelet volume; CI, confidence interval; g/dl, gram per deciliter; fl, femtoliter.

Correlation of Hematological Indices with Years of Exposure, Working Hours, and Age for the Exposed Group Using ANOVA Statistical Analysis at Mekelle City Tigray Region, Northern Ethiopia, from January to March 2018 (n=43) Note: Bold text is to indicate test is significant at p<0.05. Abbreviations: HGB, hemoglobin; HCT, hematocrit; RBC, red blood cell; MCV, mean cell volume; MCH, mean cell hemoglobin; WBC, white blood cell; MPV, mean platelet volume; CI, confidence interval; g/dl, gram per deciliter; fl, femtoliter.

Peripheral Blood Morphology Examination Results

Of the examined peripheral blood films from the exposed group, 37 (79.1%) of the results were normal, 4 (9.3%) had macrocytosis with increasing corresponding MCV value, basophilic stippling inclusions and one participant had microcytic red cells with reduced MCV value (77.1 fl).

Discussion

This study aimed to assess the effect of gasoline and gasoline products exposure on hematological parameters among gas station workers as compared with controls in Mekelle City, Tigray Region. It also tried to identify risk factors associated with gasoline product exposure in gas station workers and the relationship between duration of gasoline exposure and hematological parameters. The findings are pointing toward the fact that gasoline and its content have adverse effects on the hematological parameters with a longer period of exposure. The observed statistically significant decrease in the measured parameters of exposed participants, such as red blood cell (RBC), hemoglobin (HGB) concentration, hematocrit (HCT) and platelet (PLT) count, compared to controls may be due to several toxic effects arising from the gasoline and its products. Benzene, one of the main constituents of gasoline, is a well-known systemic toxicant in humans and a cause of aplastic anemia. It is hematotoxic and depresses the bone marrow, leading to pancytopenia (a general depression of erythrocytes (red blood cells), leucocytes (white blood cells) and thrombocytes (platelets).9 These studies demonstrate that benzene is indeed a hematotoxicant. The results of the present study showed that the mean hemoglobin concentration, mean RBCs count, mean hematocrit value, platelet count of gas station workers were significantly lower than those of the comparison group. Decreases in hemoglobin content and RBC count could be attributed to shortened life span of RBC as well as impairment of heme synthesis by the metabolic end product of free radicals of benzene and other aliphatic hydrocarbon constituents of gasoline. These free radicals can alter the erythrocyte membrane and heme protein synthesis in bone marrow.10,11,14 This result is similar with the study conducted in hematological assessment of gasoline exposure among gas station workers by Schnatter et al,28 Nair et al,29,30 and Neghab et al.27 A decrease in RBC count can lead to a decrease in PCV. But the hematocrit, RBC count, hemoglobin and platelet count were not consistent with those reports which described the hematological changes of individuals occupationally exposed to gasoline as significantly high, such as Saadat et al31 and Firouzkouhi et al.32 Reduction in the value of RBC, HCT and HGB content as reported in this study would eventually lead to anemia, a condition which agrees with the report of Uko et al.33 In this study, MCV, mean MCH and MCHC value were significantly higher in exposed than comparison group. This finding is in agreement with another study by Firouzkouhi et al32 and by Nair et al,29 as they observed statistically significant increases in MCH and MCHC values. Even though the MCV value is not significantly higher in the exposed group, it shows a similar increase to the result reported by Schnatter et al.28 The increases in MCV, MCH and MCHC in this study can be due to macrocytosis induced by benzene, because benzene is an ingredient of gasoline. It has been established that toxic constituents of petroleum such as benzene and lead are activated in the bone marrow, where the substances exert cytotoxic effects that could be mediated through destruction in DNA function. A defect in DNA synthesis that interferes with cellular proliferation and maturation can lead to large` erythrocytes.20 This study also indicates that total RBC count, hemoglobin concentration and HCT value decreased in gas station workers as the duration of exposure increased from less than 2 years to more than 8 years. These findings were different from the studies conducted by Uzma et al,34 which showed that, during the early period of exposure (1–5 years and 5–10 years), the average Hb, HCT and RBC counts were unchanged, but as the years of exposure increased to more than 10 years, there was a statistically significant increase in the concentration of Hb, RBC count and HCT value. Platelet counts of the present study significantly decreased as year of exposure increased from two years to eight years and is consistent with a previous study by Uzma et al.34 Nevertheless, the decrease in total RBC count, hemoglobin concentration and HCT value in workers with longer periods of exposure as the duration of exposure increases from less than 2 year to more than 8 years were consistent to study conducted by Uko et al.33 In the present study, the reported WBC count was unchanged as year of exposure increased but it was decreased in the study done by Uko et al.33 The peripheral blood smear of the study participants showed basophilic stippling and macrocytosis (9.3%). In line with this finding, Firouzkouhi et al32 and Uko et al33 reported basophilic stippling and macrocytosis, respectively, from the gasoline exposed attendants. However, this finding is not consistent with Elderdery et al,35 which reported a microcytic picture in 50% of their participants and a quarter (26%) showed a normocytic picture. This inconsistency might be because of population difference, performance and the gasoline constituent difference in the study. Finally, this study has some drawbacks. There were no records for baseline and periodic medical examination of workers to identify changes that could be attributed to gasoline exposure. Being a small-scale study with a few gas station attendants and participants limits the generalization of results to the total populations of gas station attendants in other places. However, in the absence of any similar data, this study has also its own strength in that it assesses the effect of occupational exposure to gasoline for the first time, which could attract attention for appropriate intervention.

Conclusion and Recommendation

The present study has shown that occupational exposure to gasoline and its constituent products has a significant effect on some hematological parameters. Moreover, long-term exposure to gasoline-specific components of gasoline, such as benzene, toluene, ethylene, xylene and lead, might have some effects on the human hematopoietic system leading to suppressed bone marrow or might cause ineffective erythropoiesis and thrombopoiesis. It has been observed that chronic ingestion of gasoline might result in a significant reduction in RBC count, Hb concentration and total platelet count. The toxicity of gasoline components usually causes RBC inclusion (basophilic stippling, Heinz’s bodies, and pappenheimer bodies) and oxidation of hemoglobin, which decrease the life of RBC and cause hemoglobin synthesis defects, hence decreasing the parameters.

Gas station workers with chronic exposure to gasoline products should have periodic medical examinations including the evaluation of their hematological profile and measurement of blood benzene and blood lead levels. In this regard, gas station owners should provide basic personal protective equipment like face masks and the government should make blood benzene and blood lead level analyzer auto machines available. Further research is recommended to include other gas station workers in the other parts of the country with large sample sizes of these workers occupationally exposed to gasoline.
  23 in total

Review 1.  Overview of the toxicology of benzene.

Authors:  R Snyder
Journal:  J Toxicol Environ Health A       Date:  2000-11

Review 2.  The role of metabolism and specific metabolites in benzene-induced toxicity: evidence and issues.

Authors:  D Ross
Journal:  J Toxicol Environ Health A       Date:  2000-11

3.  Peripheral blood effects in benzene-exposed workers.

Authors:  A Robert Schnatter; Patrick J Kerzic; Yimei Zhou; Min Chen; Mark J Nicolich; Karlene Lavelle; Thomas W Armstrong; Michael G Bird; Lv Lin; Hua Fu; Richard D Irons
Journal:  Chem Biol Interact       Date:  2009-12-23       Impact factor: 5.192

4.  Genotoxic markers among butadiene polymer workers in China.

Authors:  R B Hayes; L Zhang; S Yin; J A Swenberg; L Xi; J Wiencke; W E Bechtold; M Yao; N Rothman; R Haas; J P O'Neill; D Zhang; J Wiemels; M Dosemeci; G Li; M T Smith
Journal:  Carcinogenesis       Date:  2000-01       Impact factor: 4.944

5.  Human glutathione S-transferase theta (GSTT1): cDNA cloning and the characterization of a genetic polymorphism.

Authors:  S Pemble; K R Schroeder; S R Spencer; D J Meyer; E Hallier; H M Bolt; B Ketterer; J B Taylor
Journal:  Biochem J       Date:  1994-05-15       Impact factor: 3.857

Review 6.  Biomarkers of susceptibility following benzene exposure: influence of genetic polymorphisms on benzene metabolism and health effects.

Authors:  Damiano Carbonari; Pieranna Chiarella; Antonella Mansi; Daniela Pigini; Sergio Iavicoli; Giovanna Tranfo
Journal:  Biomark Med       Date:  2016-01-14       Impact factor: 2.851

7.  Metabolic Polymorphisms and Clinical Findings Related to Benzene Poisoning Detected in Exposed Brazilian Gas-Station Workers.

Authors:  Simone Mitri; Antônio Sérgio Almeida Fonseca; Ubirani Barros Otero; Marianne Medeiros Tabalipa; Josino Costa Moreira; Paula de Novaes Sarcinelli
Journal:  Int J Environ Res Public Health       Date:  2015-07-21       Impact factor: 3.390

8.  Investigation into variation of endogenous metabolites in bone marrow cells and plasma in C3H/He mice exposed to benzene.

Authors:  Rongli Sun; Juan Zhang; Lihong Yin; Yuepu Pu
Journal:  Int J Mol Sci       Date:  2014-03-20       Impact factor: 5.923

9.  Hematotoxicity and carcinogenicity of inhaled benzene.

Authors:  E P Cronkite; R T Drew; T Inoue; Y Hirabayashi; J E Bullis
Journal:  Environ Health Perspect       Date:  1989-07       Impact factor: 9.031

10.  Increased leukemia-associated gene expression in benzene-exposed workers.

Authors:  Keqiu Li; Yaqing Jing; Caihong Yang; Shasha Liu; Yuxia Zhao; Xiaobo He; Fei Li; Jiayi Han; Guang Li
Journal:  Sci Rep       Date:  2014-07-04       Impact factor: 4.379

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1.  Inflammatory and proapoptotic effects of inhaling gasoline fumes on the lung and ameliorative effects of fenugreek seeds.

Authors:  Abeer E Abdrabouh
Journal:  Sci Rep       Date:  2022-08-24       Impact factor: 4.996

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