Oxidative stress is a condition in which the delicate balance which exists between production of pro-oxidants (free radicals) and their subsequent destruction via the antioxidant defense system comes in favour of free radical expression [1]. A free radical is any species which is capable of existence, which contains one or more unpaired electrons [2]. There are many types of free radicals, like hydrogen atoms, transition metal ions, carbon centered radicals and sulfur centered radicals (e.g., Thiyl). But those which are derived from either oxygen and/or nitrogen represent the most important class of radicals which are generated in living systems [3–5]. Indirect assessment of oxidative stress involves the measurement of the more stable molecular products which are formed via the reaction of RONS (reactive oxygen and nitrogen species) with certain biomolecules like lipids. Common lipid peroxidation end products are isoprostanes, malondialdehyde (MDA), thiobarbituric acid reactive substances (TBARS), lipid hydroperoxides (LOOHs), conjugated dienes (CDs), etc. [6].
The study of respiratory mechanics is done by doing Pulmonary Function Tests (PFTs) [7]. Sewage workers are exposed to dust, bio-aerosols and various gases and these dust, bio-aerosols and gases are implicated as one of the causes which lead to development of asthma, COPD and other obstructive changes in the lungs [8–11].
Materials and Methods
This cross sectional study was done in the Department of Physiology of a tertiary care hospital, J.N. Medical College, A.M.U. in Aligarh, U.P. Approval for conducting the study was obtained from the institutional ethical committee of the hospital. Also, valid written consents were taken from all the subjects.
Study group: Sixty two sewage workers who were working since more than five years (32 non-smokers and 30 smokers); males who were aged between 18-50 years.
Control group: Sixty matched subjects ( among which 30 were non-smokers and 30 were smokers) of similar sex (males), age (between 18 to 50 years), height, race and socioeconomic strata.
Inclusion Criteria
Those who were apparently healthy.
Those who gave their consents for the study.
Exclusion Criteria
Those who had a recent history of acute upper respiratory tract infections.
Those who had/have chronic medical illnesses like Diabetes mellitus, hypertension, chronic renal diseases and, chronic respiratory ailments.
PFT (pulmonary function test)/lung function test was done by using a computerized Spirometer MIR (Medical International Research) Spiro Lab II. The technique of spirometry was demonstrated to the subjects before they were asked to perform the test. The test was done 3 times and best among 3 readings was taken as final reading. Recommendations of American Thoracic society (ATS)/ERS task force series were followed while spirometry was performed [12].
Serum Malondialdehyde (MDA) was estimated by the method which was adopted by Philpot [13].
For estimating serum malondialdehyde, 5 millilitres of the blood sample was collected from peripheral veins of the subjects. This sample was centrifuged for 15 minutes at 3000 rpm to separate the serum. The serum was used for serum malondialdehyde (MDA) estimation as follows:
MDA Estimation
Principle: One molecule of MDA reacts with two molecules of Thiobarbituric acid (TBA) at a pH of 3.5.The pink coloured chromogen is measured spectrophotometrically at 532 nm.
Procedure: For the assay, 1 ml. of serum was mixed with 2.5 ml. of 20% Trichloroacetic acid (TCA) and 1 ml of 0.67% of aqueous solution of TBA.The mixture was heated for 30 minutes in a boiling water bath. The pink pigment was extracted with 2 ml. of n-Butonol and its absorbance was read at 532 nm against n-Butonol which was used as a blank.
MDA= (OD of sample/OD of standard) X concentration of standard MDA in nanograms/ml of serum.
Statistical Analysis
Unpaired ‘t’ test was applied for statistical evaluation of the data which was generated. SPSS (Statistical package for Social Sciences), version 17.0 software was used.
The statistical significance level was set at a ‘p’ value of <0.05 and a confidence interval (CI) of 95%. Statistically significant changes have been shown in tables as values which are marked by *.
Nonsmoker sewage workers were compared with nonsmoker control subjects for lung functions [Table/Fig-1] and serum MDA [Table/Fig-3]. Smoker sewage workers were compared with smoker control subjects for lung functions [Table/Fig-2] and serum MDA levels [Table/Fig-4].
Comparison between non-smoker sewage workers with non-smoker control subjects
| Control Subjects (non-smoker) (n=30) Mean ± SD | Sewage Workers (non-smoker) (n=32) Mean ± SD | p-value |
---|
Age (years) | 36.50 ± 8.96 | 36.23 ± 9.20 | NS |
Height (meters) | 1.70 ± 0.05 | 1.70 ± 0.06 | NS |
Weight (kilograms) | 61.50 ± 10.20 | 60.70 ± 9.20 | NS |
FEV1 | 88.50 ± 18.80 | 60.72 ± 11.98 | <0.01* |
FVC | 86.66 ± 12.92 | 85.87 ± 15.16 | NS |
FEV1/ FVC % | >80% | <80% | $ |
PEFR | 90.16 ± 14.30 | 64.40 ± 8.54 | <0.01* |
FEF25% -75% | 84.00 ± 18.20 | 63.40 ± 17.12 | <0.01* |
NS means Non Significant change. *means statistically significant (p-value <0.05) change with Confidence Interval (CI) of 95%. $ FEV1/ FVC % ratio indicates obstructive pattern of Lung Functions impairment among non- smoker Sewage Workers
Comparison between smoker sewage workers with smoker control subjects
| Control Subjects (smoker) (n=30) Mean ± SD | Smoker Sewage Workers (smoker) (n=30) Mean ± SD | p-value |
---|
Age (years) | 37.40 ± 7.66 | 38.70 ± 8.20 | NS |
Height (meters) | 1.68 ± 0.06 | 1.67 ± 0.05 | NS |
Weight (kilograms) | 58.82 ± 7.20 | 57.32 ± 8.39 | NS |
FEV1 | 81.90 ± 10.17 | 56.80 ± 11.91 | <0.01* |
FVC | 84.25 ± 11.20 | 85.00 ± 15.96 | NS |
FEV1/ FVC | >80% | < 80% | $ |
PEFR | 78.16 ± 5.10 | 58.53 ± 7.42 | <0.01* |
FEF25%-75% | 60.10 ± 17.22 | 51.00 ± 7.69 | <0.05* |
Comparison of serum MDA level in non-smoker sewage workers and non-smoker control subjects
| Mean value Serum MDA (nanograms /millilitre) | Standard Deviation (SD) (nanograms/millilitre) |
---|
Control Subjects (non-smoker) [n=30] | 3.53 | 2.45 |
Sewage Workers (non-smoker) [n=32] | 25.42* | 3.77 |
Comparison of serum MDA level in smoker sewage workers and smoker control subjects
| Mean value Serum MDA (nanograms /millilitre) | Standard Deviation (SD) (nanograms/millilitre) |
---|
Control Subjects (smoker) [n=30] | 7.33 | 2.23 |
Sewage Workers (smoker) [n=30] | 34.45* | 5.26 |
Results
As has been shown in [Table/Fig-1], there were statistically significant decreases in PEFR, FEV1, and FEF 25%-75% among non-smoker sewage workers as compared to the values in non-smoker control subjects, while FVC was not decreased significantly among these groups. FEV1/FVC per cent ratio was <80%, which indicated obstructive pattern of impaired lung functions. These findings were in accordance with findings of previous studies [8–11].
[Table/Fig-2] shows similar changes in pulmonary function tests of smoker sewage workers as compared to those seen in smoker control subjects.
Also, [Table/Fig-3] shows a statistically significant increase in serum MDA in non-smoker sewage workers as compared to its value which was seen in non-smoker control subjects. [Table/Fig-4] shows similar significantly increased serum MDA values among smoker sewage workers in comparison with values seen in smoker control subjects.
Discussion
Kogevinas M, in his population based study which was done on more than 15,000 individuals across Europe, found the highest risk of asthma, which was defined as bronchial hyper-responsiveness and reported.
That asthma symptoms were seen in farmers (odds ratio 2.62 [95% CI 1.29-5.35]), painters (2.34 [1.04-5.28]), plastic workers (2.20 [0.59-8.29]), cleaners (1.97 [1.33-2.92]), spray painters (1.96 [0.72-5.34]), and agricultural workers (1.79 [1.02-3.16]).The most consistent results found across countries were seen among farmers and cleaners. Excess asthma risk was associated with high exposure to biological dusts, mineral dusts, gases and fumes. In our study, we also found an obstructive pattern of lung function impairment among sewage workers.
Johncy et al., in their study done on 25 street sweepers who were working for more than 5 years, found statistically significant decreases in FEV1, FVC, PEFR, FEF25-75% like we found in our study, but they found the ratio of FEV1/FVC to be increased, while in our study, we found it to be increased. So, they found both restrictive and obstructive patterns of lung function impairment, while we found only obstructive pattern of lung function impairment [14].
Mohan et al., in their study done on 150 non-smoker carpenters who are exposed to wood dust, found a statistically significant decrease in PEFR, like we found in our study [15].
Saha et.al. conducted a study on 59 dry cell battery factory workers who were exposed to cadmium, nickel, cobalt, potassium hydroxide, sodium hydroxide. They found a trend of decrease of lung volumes with increment of age and duration of exposure. The pulmonary function abnormalities which were found among the dry battery factory workers were found to be obstructive (18.5%), restrictive (5.6%) and mixed (4.5%) [16].
Skeletal muscles generate free radicals during rest and their production is increased during performance of contractile activities [17,18]. Overproduction of free radicals may result in oxidative stress. Oxidative stress increases the relative risk of development of COPD [19,20].
Previous researches have shown that oxidative stress impairs skeletal muscle contractions [21–25]. Decreased function of the respiratory muscles, especially the diaphragm, is known to occur in patients with severe chronic obstructive pulmonary disorder (COPD) [26–28].
The results of our study were in accordance with those of the above mentioned studies, which indicated increased serum MDA levels (indicating oxidative stress), along with impaired lung functions (COPD) among sewage workers.
Free radicals can interfere with excitation contraction coupling at several sites at the molecular level, which contribute to respiratory muscle dysfunctions like Ryanodin Receptor (RyR) channel activity [29] and nitric oxide (NO) inhibited Ca2+ release which occurs via the RyR channel [30]. Free radicals reduce the amplitude of action potentials, which contribute to decreased muscle contractions [31].
Limitations of The Study
This was a cross-sectional study and so, a cause and effect relationship could not be established.
The sample size or the number of the subjects in each group was small
Conclusion
Finally, on the basis of our study, we can conclude that there were oxidative stress and impaired lung functions among sewage workers and that this oxidative stress could be one of the mechanisms that could contribute to development of obstructive impairment of lung functions in these sewage workers.
NS means Non Significant change. *means statistically significant (p-value <0.05) change with Confidence Interval (CI) of 95%. $ FEV1/ FVC % ratio indicates obstructive pattern of Lung Functions impairment among non- smoker Sewage Workers