Research Article (Open access) |
---|
Int. J.
Life. Sci. Scienti. Res., 3(6):
1484-1494, November 2017
Biochemical
Markers of Oxidative Stress in Brain of Zebrafish Danio rerio
Exposed to Different Heavy Metals Lead and Cobalt
Chandra Bhushan Singh1
and Badre Alam Ansari2*
1Research Scholar, Department of
Zoology, D.D.U. Gorakhpur University, Gorakhpur, India
2Professor,
Department of Zoology, D.D.U. Gorakhpur University, Gorakhpur, India
*Address for
Correspondence: Dr. Badre Alam Ansari,
Professor, Zebrafish Laboratory, Department of Zoology, D.D.U. Gorakhpur
University, Gorakhpur (U.P.), India
ABSTRACT-
Aquatic
organisms have been considered to concentrate metals several times greater than
environmental levels. Fishes have been used for many decades to evaluate the
pollution status of water and thus considered as excellent biological indicator
of heavy metals in aquatic environments. Heavy metals are natural tress
components of the aquatic environment, but their levels have increased due to
domestic, industrial, mining and agricultural activities. These heavy metals
when accumulated in the fish tissues, they damage and weaken the mechanisms
concerned leading to physiological, pathological and biochemical changes. The
lead is non essential element while cobalt is an essential element for living
organisms but its presence in fresh water in higher concentration are toxic to
organism’s brain, liver, ovary, kidney and gills of the fish. The present study
was aimed to investigate the changes due to two heavy metals (lead & cobalt)
on the activity of the antioxidant enzyme, Catalase (CAT), Reduced glutathione
(GSH), and Lipid peroxidation (LPO) in the brain of Danio rerio
during 5, 10, 15 and 20 days of exposure period. For this study adult fishes
were exposed to four different concentrations viz., 20, 30, 40 and 50 mg/l of
cobalt and 5, 9, 13, and 17.00 mg/l of lead.
Key-words: Zebrafish, Lead, Cobalt, Catalase,
LPO, Glutathione, Heavy metals.
INTRODUCTION- Heavy metals are produced from a variety
of natural and anthropogenic sources [1]. In aquatic environments,
heavy metal pollution results from direct atmospheric deposition, geologic
weathering or through the discharge of agricultural, municipal, residential or
industrial waste products, also via wastewater treatment plants [2-4].
The contamination of heavy metals
and metalloids in water and sediment, when occurring in higher concentrations,
is a serious threat because of their toxicity, long persistence, and
bioaccumulation and bio magnification in the food chain [5].
Generally, metals can be categorized as biologically essential and
non-essential. The nonessential metals for example, aluminum (Al), cadmium (Cd), mercury (Hg), tin (Sn) and
lead (Pb) have no proven biological function also called
xenobiotics or foreign elements and their toxicity
rises with increasing concentrations [6]. Essential metals for
example, copper (Cu), zinc (Zn), chromium (Cr), nickel (Ni), cobalt (Co),
molybdenum (Mo) and iron (Fe) on the other hand, have known important
biological roles [7], and toxicity occurs either at metabolic
deficiencies or at high concentrations [8]. The deficiency of an
essential metal can therefore cause an adverse health effect, whereas its high
concentration can also result in negative impacts which are equivalent to or
worse than those caused by non-essential metals [9].
The
river system may be extremely contaminated with heavy metals released from
domestic, industrial, mining and agricultural effluents. Heavy metal
contamination may have disturbing effects on the ecological balance of the
recipient environment and a diversity of aquatic organisms [10-11].
Among animal species, fishes are inhabitants that cannot escape from the
detrimental effects of these pollutants [12]. The impact of metals, as well as
other pollutants, on aquatic biota can be evaluated by toxicity test, which are
used to detect and evaluate the potential toxicological effects of chemicals on
aquatic organisms. However, little research has been done on the impact of contaminations
on tropical ecosystems [13].
Fish are widely used to evaluate the health of aquatic ecosystems because
pollutants build up in the food chain and are responsible for adverse effects
and death in the aquatic systems. Fish can obtain their trace elements, either
directly from the water through the gills or indirectly from food through the
alimentary tract [14].
Heavy metals have been recognized as strong biological poisons because of their
persistent nature, tendency to accumulate in organisms and undergo food chain
amplification [15],
they also damage the aquatic fauna. The contamination of freshwaters with a
wide range of pollutants has become a matter of great concern over the last few
decades.
Lead
is a persistent metal which is commonly used in various industrial processes.
It is toxic to living systems and may stay in the environment for a prolonged
period of time, due to its persistency; it exists as a free metal in various
compounds. Lead is a widespread environmental and occupational xenobiotic and is hazardous to humans and various
ecosystems [16].
Its exposure to humans is mainly by ingestion through the mouth and inhalation
from fumes and dust in the atmosphere [17]. Exposure to lead is mainly from
anthropogenic sources due to its widespread usage. The form in which lead
exists determines how toxic it is in the environment. Several studies link
inorganic lead like lead acetate compounds to increased incidence of diseases
in various organisms. Lead toxicity has been linked to incidence of
neurological disorders, hypertension, cognitive impairments etc. [18].
Chen et al. [19]
reported that exposure of low doses of developmental lead to the embryo of
zebra fish resulted in embryonic toxicity, behavioral alteration, and adult
learning/memory deficit in zebrafish. It’s accumulation in sediment is of significance for aquatic
organisms. It is not a transition metal and cannot readily undergo valence
changes, it can induce oxidative damage through direct effects on the cell
membrane, interactions between lead and haemoglobin,
which increase the auto-oxidation of hemoglobin, auto-oxidized δ-aminolevulinic acid, interactions with glutathione reductase, or through the formation of complexes with
selenium, which decrease glutathione peroxidase activity [20]. Lead deposits in various fish organs like liver, brain,
kidneys, spleen, digestive tract and gills [21].
Cobalt
is an essential nutrient for man and is an integral part of vitamin B12. It
performs important biochemical function but its higher concentration in aquatic
ecosystems becomes toxic to fish as it interferes with the enzyme systems [22].
It is reported to be a potential carcinogenic compound and has been included
recently in group 2A carcinogens i.e., probably
carcinogenic to humans. Cobalt can be absorbed from the surrounding water
through the gills as well as from the diet. The uptake of waterborne cobalt
increased with a rise in temperature and decrease in waterborne calcium.
Also,
heavy metals are known to induce oxidative stress and carcinogenesis by
mediating free radicals e.g. reactive oxygen species [23]. They
deplete glutathione, resulting enhanced production of Reactive Oxygen Species
(ROS) such as catalase. ROS are considered as critical mediators for the
metal-triggered tissue injuries and apoptosis. To prevent oxidation induced
damage, there must be effective antioxidation system
enzyme including free radical scavenging enzymes, such as Superoxide Dismutase
(SOD) and Catalase (CAT) changes in the activity of enzymes and other biomarkers
are the possible tool for aquatic toxicological research [24].
Zebrafish can be used for bio-indicator of environmental contamination.
MATERIALS AND METHODS- The present work was conducted in the Zebrafish
laboratory, Department of Zoology, D.D.U. Gorakhpur University, Gorakhpur,
India in the duration of April 2017. Zebrafish, recommended by International
Organization for Standardization (IOS, 1976) [25] and the Organization
for Economic Co-operation and Development (OECD) [26]
were collected and acclimatized for a month, stocked and reared under
laboratory conditions. The aquariums were aerated continuously through stone
diffusers connected to a mechanical air compressor and the water temperature was
maintained at 25
±2. The fishes were fed twice daily
alternately with raw and chopped goat liver and shrimp powder. Tubifex worm, Tetrabit and spirulina granules purchased from pets shop were also
supplemented.
For
the present study, mature adult zebrafish approximately 3.5 cm in length and 1
g in weight were procured from stock aquarium and exposed to four different
concentrations viz., 20, 30, 40 and 50 mg/l of cobalt and 05.00, 09.00, 13.00
and 17.00 mg/l of lead calculated from our previous toxicity test. The
concentrations of heavy metals were decided for exposures were below the range
of 80% 96-h LC50 as calculated earlier Singh and Ansari
[27]. Low concentrations were selected since fish can survive the
stress of the toxicant. Twenty fishes were exposed to each concentration. The
water in the aquarium was replaced daily with fresh treatment of metals. Each
experiment was accompanied by their respective control. After exposure periods
of 5, 10, 15 and 20 days, required number of treated fish were removed from the
experimental and control groups. Their brain were removed and processed.
Biochemical
Assay- The activity of CAT (EC 1.11.1.6) was estimated
according to procedures by Sinha [28]. This
method is based on the fact that in acetic acid dichromate is reduced to
chromic acetate when heated in the presence of H2O2 with
the formation of perchromic acid as an unstable
intermediate. The chromic acetate is measured colorimetrically
at 620 nm. The catalase preparation is allowed to split H2O2
at different time intervals by the addition of a dichromic
acetic acid mixture and the remaining H2O2 is determined colorimetrically. The results were expressed as µM H2O2
utilized/min/mg protein.
Glutathione (GSH)
content in the brain was estimated according to the method of Paglia et al. [29].
Tissue (brain) was lyses with 2.0 ml of 1g/l EDTA (ethylene diamine
tetraacetic acid) solution and 1.5 ml of
precipitating reagent (1.67 g glacial metaphosphoric
acid, 0.2 g EDTA, 30 g sodium chloride, distilled water to 100 ml) was added.
After mixing, the solution was allowed to stand for five minutes then
centrifuged at 3000 rpm for 15 min. 0.50 ml of filtrate was added to 2 ml of
disodium hydrogen phosphate (Na2HPO4) (0.1M, pH 7.4) and
0.25 ml of DTNB reagent (40 mg) was dissolved in 100 ml of 10 g/l (1%) sodium
citrate. A blank was prepared from 1.5 ml of precipitating reagent, 1 ml of
distilled water, 2 ml of disodium hydrogen phosphate
and 0.25 ml of DTNB reagent. The absorbance of yellow color was read at 412 nm
within a minute after adding DTNB. The results were expressed as GSH mg/mg
protein.
LPO
levels were estimated with thiobarbituric acid
reacting substances (TBARS) and colour reaction for malondialdehyde (MDA) according to procedures in Placer et al. [30]. Tissues were
homogenized in chilled 0.15 M KCl using a Teflon
pestle to obtain 10% w/v homogenate. One ml of homogenate was incubated at 37 ±
0.5 for two hours. To each sample, 1 ml of 10% w/v
trichloro acetic acid (TCA) was added. After thorough
mixing, the reaction mixture was centrifuged at 2000 rpm for 10 minutes. 1 ml
of supernatant was then taken with an equal volume of 0.67% w/v TBA (thio-barbituric acid) and kept in a boiling water bath for
10 minutes, cooled and diluted with 1 ml of distilled water. The absorption of
the pink colour obtained which measured at 535 nm
against a blank. The concentration of MDA was read from a standard calibration
curve plotted using 1,1,3,3’ tetra-methoxypropane
and the results were expressed as µmol of MDA formed/ min/ mg protein.
The
protein contents of tissues were assayed using the method of Lowry et al. [31] with bovine serum
albumin as the standard. Two way analysis of variance (ANOVA) was applied to
test the significance of the data. All the data are expressed as means (n=6) ±
standard deviation (SD) and difference were considered significant at
P<0.05.
RESULTS AND DISCUSSIONS- After
the exposure of both heavy metals, the zebrafish was showed behavioral changes.
They aggregated at one corner of the aquarium, resting at the bottom and
frequently come to the surface followed by the heavy breathing with stronger opercular movement loss of equilibrium. Over secretion of
mucus was also observed from the body surface. Their body color darkened,
pectoral and pelvic fins got expanded and the fish rolled vertically prior to
death.
In
the brain CAT activity showed significant (p<0.05) decrease after 5, 10, 15
and 20 days of treatment period. Minimum changes in CAT activities were
observed after 5 days of exposure period at each concentrations of lead which
was 154.65±1.31 (95%), 148.32±1.63 (91%), 139.61±1.42 (86%) and 112.34±1.63
(69%) µM H2O2 utilized/min/mg protein as compared to
control 162.35±1.86 (100%). But after 20 days of treatment period at all
concentrations the maximum changes was 72.32±1.60 (45%) at 17 mg/l in CAT
activity was observed which showed a concentration and time-dependent action of
lead (Table 1). While in the case of cobalt after 5, 10, 15 and 20 days of
treatment period, minimum changes in CAT activities were observed after 5 days
exposure period at each concentrations, which was 159.33±1.25 (97%),
151.65±1.32 (93%), 142.81±1.62 (87%) and 128.35±1.72 (79%) µM H2O2
utilized/min/mg protein as compared to control 163.45 µM H2O2
utilized/min/mg protein. But after 20 days of treatment period at all
concentrations the maximum changes was 98.62±1.20 (60%) at 50 mg/l in CAT
activity were observed which showed a concentration and time-dependent action
of cobalt (Table 2). The results were shown that cobalt was less toxic as
compared to lead.
Alteration
in GSH level after 5, 10, 15 and 20 days treatment of both heavy metals are
presented in table 3 and table 4. The reduction in GSH level was maximum after 20 days of treatment of 17 mg/l of lead and it
was found to be only 1.61±0.35 (38%) GSH mg/mg protein as compared to control
4.25±0.32 (100%) (Table 3). While in case of cobalt,
reduction was maximum after 20 days treatment period
1.80±0.12 (43%) GSH mg/mg protein as
compared to control 4.18±0.13 (100%) at 50 mg/l concentration (Table 4).
Table 1: Effect of Lead on CAT
activity (µM H2O2 utilised/min/mg
protein) in the Brain of zebrafish
Concentrations
(mg/l) |
Treatment
period (days) |
|||
5 |
10 |
15 |
20 |
|
Control |
162.35±1.86 (100%) |
163.23±1.27 (100%) |
162.54±1.90 (100%) |
161.75±1.23 (100%) |
5 |
154.65±1.31 (95%) |
147.35±1.38 (90%) |
141.80±1.67 (87%) |
137.62±1.25 (85%) |
9 |
148.32±1.63 (91%) |
139.66±1.75 (86%) |
130.23±1.54 (80%) |
118.35±1.66 (73%) |
13 |
139.61±1.42 (86%) |
121.32±1.62 (74%) |
112.62±1.35 (69%) |
102.82±1.23 (64%) |
17 |
112.34±1.63 (69%) |
108.45±1.32 (66%) |
85.38±1.62 (53%) |
72.32±1.60 (45%) |
Summary
of computation for ANOVA |
|||||
Source
of variations |
Degree
of freedom |
Sum
of squares |
Variance |
F-values |
Sign.
level |
Variation
due to Operations |
3 |
1772.9 |
590.96 |
10.02 |
P<0.05 |
Variation
due to Concentrations |
4 |
10684 |
2671.07 |
45.29 |
P<0.05 |
Total
interaction |
12 |
707.59 |
58.96 |
|
|
Total |
19 |
|
|
|
|
*Dose was selected below 80% of
96-h LC50.
* Values are
mean ± SD of six individual observations and significant at p<0.05 (two-wayANOVA)
Table 2:
Effect of Cobalt on CAT activity (µM H2O2
utilised/min/mg protein) in the Brain of zebrafish
Concentrations
(mg/l) |
Treatment
period (days) |
|||
5 |
10 |
15 |
20 |
|
Control |
163.45±1.60 (100%) |
161.65±1.43 (100%) |
162.32±1.25 (100%) |
163.21±1.54 (100%) |
20 |
159.33±1.25 (97%) |
152.80±1.74 (95%) |
147.35±1.70 (91%) |
141.66±1.32 (87%) |
30 |
151.65±1.32 (93%) |
143.63±1.20 (89%) |
134.85±1.39 (83%) |
129.81±1.25 (80%) |
40 |
142.81±1.62 (87%) |
135.25±1.38 (84%) |
122.13±1.22 (75%) |
110.28±1.74 (68%) |
50 |
128.35±172 (79%) |
117.90±1.63 (73%) |
108.24±1.82 (67%) |
98.62±1.20 (60%) |
Summary of computation for ANOVA |
|||||
Source
of variations |
Degree
of freedom |
Sum
of squares |
Variance |
F-values |
Sign.
level |
Variation
due to Operations |
3 |
1172.09 |
390.7 |
12.05 |
P<0.05 |
Variation
due to Concentrations |
4 |
5913.33 |
1478.3 |
45.62 |
P<0.05 |
Total
interaction |
12 |
388.82 |
32.40 |
|
|
Total |
19 |
|
|
|
|
*Dose was selected below 80% of 96-h LC50.
* Values are mean ± SD of six individual
observations and significant at p<0.05 (two-wayANOVA)
Table 3: Effect of Lead on GSH
activity (GSH mg/mg protein) in the Brain of zebrafish
Concentrations (mg/l) |
Treatment period (days) |
|||
5 |
10 |
15 |
20 |
|
Control |
4.33±0.45 (100%) |
4.45±0.66 (100%) |
4.35±0.15 (100%) |
4.25±0.32 (100%) |
5 |
3.90±0.35 (90%) |
3.15±0.12 (71%) |
2.85±0.13 (66%) |
2.72±0.11 (64%) |
9 |
3.10±0.23 (72%) |
2.90±0.35 (65%) |
2.61±0.13 (60%) |
2.43±0.15 (57%) |
13 |
2.92±0.35 (67%) |
2.50±0.13 (56%) |
2.15±0.25 (49%) |
1.95±0.13 (49%) |
17 |
2.80±0.26 (65%) |
1.95±0.24 (44%) |
1.80±0.62 (41%) |
1.61±0.35 (38%) |
Summary
of computation for ANOVA |
|||||
Source
of variations |
Degree
of freedom |
Sum
of squares |
Variance |
F-values |
Sign.
level |
Variation
due to Operations |
3 |
1.89 |
0.63 |
12.71 |
P<0.05 |
Variation
due to Concentrations |
4 |
12.70 |
3.17 |
63.81 |
P<0.05 |
Total
interaction |
12 |
0.59 |
0.04 |
|
|
Total |
19 |
|
|
|
|
*Dose was selected below 80% of
96-h LC50.
* Values are mean ± SD of six
individual observations and significant at p<0.05 (two-wayANOVA)
Table 4:
Effect of Cobalt on GSH activity (GSH mg/mg
protein) in the Brain of zebrafish
Concentrations
(mg/l) |
Treatment
period (days) |
|||
5 |
10 |
15 |
20 |
|
Control |
4.25±0.36 (100%) |
4.50±0.24 (100%) |
4.35±0.18 (100%) |
4.18±0.13 (100%) |
20 |
3.98±0.13 (94%) |
3.58±0.17 (80%) |
3.20±0.14 (74%) |
3.14±0.16 (75%) |
30 |
3.60±0.40 (85%) |
3.10±0.12 (69%) |
2.90±0.31 (67%) |
2.81±0.20 (67%) |
40 |
3.08±0.12 (72%) |
2.83±0.17 (63%) |
2.35±0.13 (54%) |
2.08±0.10 (50%) |
50 |
2.89±0.14 (68%) |
2.10±0.13 (47%) |
1.95±0.18 (45%) |
1.80±0.12 (43%) |
Summary
of computation for ANOVA |
|||||
Source
of variations |
Degree
of freedom |
Sum
of squares |
Variance |
F-values |
Sign.
level |
Variation
due to Operations |
3 |
1.66 |
0.55 |
12.29 |
P<0.05 |
Variation
due to Concentrations |
4 |
10.90 |
2.72 |
60.32 |
P<0.05 |
Total
interaction |
12 |
0.54 |
0.04 |
|
|
Total |
19 |
|
|
|
|
*Dose
was selected below 80% of 96-h LC50.
* Values are
mean ± SD of six individual observations and significant at p<0.05 (two-way
ANOVA)
The effect of both metals on LPO also
showed a significant change at different concentrations and exposure periods.
At 17 mg/l of lead treatment for 20 days there was drastic increase in the MDA
level 22.98±0.84 (158%), as compared to 14.58±0.65 (100%) (Table 5) and in the
case of cobalt concentration at 50 mg/l for 20 days, increment in MDA level was
20.20±0.73 (138%), as compared to 14.69±0.58 (100%) (Table
6).
However,
it was observed that the changes were more profound with the lead exposure as
compared to cobalt.
Table 5: Effect of lead on LPO
activity (µM of MDA formed/30 min/mg protein) in the brain of zebrafish
Concentrations (mg/l) |
Treatment period (days) |
|||
5 |
10 |
15 |
20 |
|
Control |
13.65±0.89 (100%) |
14.21±0.63 (100%) |
13.35±0.80 (100%) |
14.58±0.65 (100%) |
5 |
14.50±0.38 (106%) |
15.80±0.38 (111%) |
16.01±0.19 (120%) |
17.63±0.35 (121%) |
9 |
15.44±0.63 (113%) |
16.90±0.45 (119%) |
17.65±0.34 (132%) |
18.90±0.48 (130%) |
13 |
16.85±0.12 (123%) |
17.75±0.85 (125%) |
18.90±0.28 (142%) |
20.65±0.21 (142%) |
17 |
17.01±0.30 (125%) |
18.68±0.29 (131%) |
20.35±0.65 (152%) |
22.98±0.84 (158%) |
Summary
of computation for ANOVA |
|||||
Source
of variations |
Degree
of freedom |
Sum
of squares |
Variance |
F-values |
Sign.
level |
Variation
due to Operations |
3 |
31.08 |
10.36 |
14.51 |
P<0.05 |
Variation
due to Concentrations |
4 |
81.24 |
20.31 |
28.46 |
P<0.05 |
Total
interaction |
12 |
8.56 |
0.71 |
|
|
Total |
19 |
|
|
|
|
*Dose was selected below 80% of
96-h LC50.
* Values are mean ± SD of six individual
observations and significant at p<0.05 (two-wayANOVA)
Table 6: Effect of cobalt on LPO activity
(µM of MDA formed/30 min/mg protein) in the brain of zebrafish
Concentrations
(mg/l) |
Treatment period (days) |
||||||||
5 |
10 |
15 |
20 |
||||||
Control |
14.35±0.63 (100%) |
13.96±0.35 (100%) |
14.63±0.58 (100%) |
14.69±0.58 (100%) |
|||||
20 |
14.96±0.80 (104%) |
14.80±0.80 (106%) |
15.4±0.63 (109%) |
16.40±0.35 (112%) |
|||||
30 |
15.70±0.46 (109%) |
15.60±0.46 (112%) |
16.48±0.68 (113%) |
17.50±0.64 (119%) |
|||||
40 |
16.07±0.75 (112%) |
16.21±0.75 (116%) |
17.64±0.38 (121%) |
18.86±0.48 (128%) |
|||||
50 |
16.89±0.38 (118%) |
17.10±0.38 (123%) |
18.69±0.54 (128%) |
20.20±0.73 (138%) |
|||||
Summary of computation for ANOVA |
|||||||||
Source
of variations |
Degree
of freedom |
Sum
of squares |
Variance |
F-values |
Sign.
level |
||||
Variation
due to Operations |
3 |
13.67 |
4.55 |
17.46 |
P<0.05 |
||||
Variation
due to Concentrations |
4 |
34.65 |
8.66 |
33.19 |
P<0.05 |
||||
Total
interaction |
12 |
3.13 |
0.26 |
|
|
||||
Total |
19 |
|
|
|
|
||||
*Dose was selected below 80% of
96-h LC50.
*Values are mean±SD of six
individual observations and significant at p<0.05 (two-wayANOVA)
Heavy
metals are natural trace components of the aquatic environment, but their
levels have increased due to domestic, industrial, mining and agricultural
activities. In this way heavy metals acquired through the food chain, which
results pollution and are potential chemical hazards, threatening consumers. At
low levels, some heavy metals such as copper, cobalt, zinc, iron and manganese
are essential for enzymatic activity and many biological processes. Some other
metals like cadmium, mercury and lead have no essential role in living
organisms and are toxic at even low concentrations. The essential metal also
becomes toxic at higher concentrations. The highlighted anthropogenic sources of
metals included industrial wastes from mining and run-off from roads, waste
water, manufacturing and metal finishing plants they may also be leached from
soils and rocks in contacts with water.
Aquatic
organisms have developed several cellular defense paths, which under normal
metabolic conditions regulate the level of ROS and protect against the
deleterious effects of free radicals. This defense system includes both
antioxidant enzymes, such as superoxide dismutase, catalase, glutathione peroxidase, glutathione reductase
and condition due to over accumulation of reactive oxygen species (ROS)
[32]. A similar response was found in fish exposed sub-chronicaly to industrial pollutants [33].
Reactive oxygen species have been reported to affect the physiology, growth,
and survival of aquatic organisms [34-35]. Fish, like mammals,
possess well-developed antioxidant defense systems for neutralizing the toxic
effects of reactive oxygen species (ROS) [35]. Fish are largely
being used for the assessment of the quality of aquatic environment and as such
can serve as bio-indicators of environmental pollution [36-37].
Heavy metals accumulated in the tissues of fish may catalyze reactions that
generated in the tissues of fish may catalyze reactions that generate reactive
oxygen species (ROS) which may lead to environmental oxidative stress.
Defensive mechanisms to counteract the impact of reactive oxygen species are
found in many mammalian species include aquatic animals such as fish. These
systems include various antioxidant defense enzymes such as superoxide radical
to H2O2, catalase acting on hydrogen peroxide,
glutathione S-transferase family possessing
detoxifying activities towards lipid hydroperoxides
generated organic pollutants such as heavy metals.
The
accumulation of heavy metals might have led to the production of superoxide
anions which led to the induction of SOD to convert the superoxide radical to H2O2.
SOD catalytically scavenges superoxide radical which appears to be an important
agent of toxicity of oxygen and this provides a defense against this aspect of
oxygen toxicity [38]. GSH is known to be a substrate for the
activity of glutathione S-transferase. The apparent
increase in GSH levels with parallel elevation in the activity of glutathione
S-transferase in the organs suggests an adaptive and
protective role of this bio-molecule against oxidative stress induced by the
heavy metals. Our results are in agreement with the findings of Pandey et al. [35]
on Wallgo attu fish from the Panipat
river in India. The decreased levels of antioxidant enzymes and reduced
glutathione with lowered level of glutathione S-transferase
in the gills could account for the marked elevation of lipid peroxidation observed. The gills are more exposed to
contaminated water and as such metal can penetrate through their thin
epithelial cells [39]. Furthermore, the apparent decrease in
glutathione detoxification system in the gill, the first point of contact with
environmental xenobiotics indicates that this system
is a sensitive biochemical indicator of environmental pollution [40]
in Clarias
gariepinus. Increase in the activity of catalase and
superoxide dismutase is usually observed in the face of environment pollutants [36,
41] since superoxide dismutase-catalase system represents the
first line of defense against oxidative stress [41]. Oxidative
stress is believed to occur when the normal balance of the
oxidant-to-antioxidant ratio is disturbed. Antioxidant defense systems are
triggered as soon as organisms are exposed to oxidative stress. This acts as a
compensatory mechanism that prevents damage induced by ROS, which attack
nucleic acids, proteins, and membrane phospholipids [42-43]. The
antioxidant defense system of organisms is composed of antioxidant enzymes such
as catalase, glutathione peroxidase, superoxide
dismutase, and non enzymatic molecules such as vitamins A and E [44].
For example, O2−,
the parental form of intracellular reactive oxygen species, is a highly
reactive molecule but can be converted to H2O2 by
superoxide dismutase and then to oxygen and water by several enzymes including
catalase, glutathione peroxidase, and lipid peroxiredoxin [42, 45]. Therefore, examining the
expression of antioxidant enzymes could be an effective method of measuring
oxidative stress.
In
present study, the zebrafish was exposed to lead acetate (C4H6O4Pb.3H2O)
and cobalt chloride (CoCl2.6H2O) for a period of 5, 10,
15 and 20 days at suitable concentrations i.e. for the lead 05 mg/l, 09 mg/l,
13 mg/l and 17 mg/l and for the cobalt 20 mg/l, 30 mg/l, 40 mg/l and 50 mg/l
and recorded a significant reduction in CAT (catalase) and GSH (reduced glutathion) but in the LPO we observed significant
enhancement in the brain of zebrafish. Maximum reduction was recorded in GSH
and CAT at the higher concentration for the lead at 17 mg/l and maximum
increase in LPO was recorded at same concentration. Same pattern was recorded
into cobalt a significant reduction in CAT (catalase) and GSH (reduced glutathion) but in the LPO, we observed significant
enhancement in the brain of zebrafish. Maximum reduction was recorded in GSH
and CAT at the higher concentration was at 50 mg/l as compared to the lower
concentration of 20 mg/l and maximum increase in LPO was recorded at
the 50 mg/l as compared to 20 mg/l. These observations revealed that the
decline in CAT, GSH and upgrade LPO levels in brain was directly proportional
to concentration of lead and cobalt. In this investigation it is clear that
lead is more toxic than cobalt. The heavy metals cause free radicals mediated
cellular damage which leads to metabolic alterations such as the enzymatic
activities and membrane transport mechanism and injuries of biological system
at different levels.
CAT is the primary enzyme responsible
for eliminating the ROS formed during bio-activation of xenobiotics
in hepatic tissues and the induction of CAT system provides the first-line of
defense against ROS. CAT activity, however, gradually decreased after 5, 10, 15
and 20 days of exposure to heavy metals and the values obtained were
significantly (p<0.05) lower than those of the control. Decreased CAT
activity decreases in reaction rates resulting from the excess production of H2O2.
This could have been because of the flux of superoxide radicals, which has been
shown to inhibit CAT activity [46]. Tripathi
and Singh [47], observed a decrease in CAT activity in the brains,
gills, livers and skeletal muscles of Channa punctatus (Bloch). The increase or decrease of enzyme
activity is related to the intensity of cellular damage. Thomas and Murthy
(1976) [48], described the Monocrotophos
treatment resulted in the decrease of CAT activity in the liver of Asian
stinging catfish (Heteropneustes fossilis). A
decrease in the activity of CAT has been previously reported in Cyprinidae fish living in Seyhan
dam Lake of Turkey [40] and in starlet (Acipenser
ruthenus L) from the Danube river of Serbia.
The
reduced glutathione (GSH) antioxidant system is the principal protective
mechanism of cells and is a key factor in the development of immune response by
immune cells. Reduced glutathione reduction might increase the risk of the
oxidative stress [49]. However, oxidative stress can induce
GSH rising by protective role in the organisms exposed to heavy metals. Reduced
GSH and its metabolizing enzymes provide the major defense against ROS induced
cellular damage [50]. Doyotte et al. [51] pointed out that
a decreased enzyme activity response may accompany a first exposure to
pollutants, which can be followed by an enhancement of antioxidant system.
Thus, the existence of an inducible antioxidant system may reflect an
adaptation of organisms. While Dimitrova et al. [52] suggested that
the superoxide radicals by themselves or after their transformation to H2O2
(Hydrogen peroxide) cause an oxidation of the cysteine
in the enzyme and decrease superoxide dismutase activity. Consequently, the
decreased and increased superoxide dismutase activities might have reflected a
cellular oxidative stress due to heavy metal exposure. On the other-hand, the
enzymatic antioxidants such as superoxide dismutase, GSH have been shown to be
sensitive indicators of increased oxidative stress in Mugil sp. obtained from polluted area containing high concentration of
pollutants [53]. Cysteine is the limiting
factor of GSH synthesis in cells and reduced glutathione has sulfide functional
groups that can capture unpaired electrons and thus is capable of removing
harmful free radicals [54]. Padmini et al.[55] observed a significant decrease in the level
of GSH (p<0.001) in brain of M. cephalus inhabiting Ennore
estuary (59%) when compared with brain of M. cephalus
inhabiting Kovalam estuary. Joseph et
al. [56] were found that GSH level was higher (p<0.05)
in control with a value of 3.05±0.01, when compared to groups exposed to
concentrations of Pb(NO3)2 (2.53±0.29, 0.94±0.14 and
0.82±0.10), at 28 days. For test organisms exposed to concentrations of ZnCl2,
GSH level was lower (0.10±0.05) though not significant at (p<0.05) in
control at 28 days.
Malondialdehyde
(MDA) is one of the LPO products deriving from oxidative attack on cell
membrane phospholipids and circulating lipids, and its level directly reflects
the degree of oxidative damage induced by contaminants [57]. The
measurement of MDA content provides a relative measure of potential for
pollutants to cause oxidative injury [58]. The elevated MDA level
was considered as result of oxidative stress from xenobiotics.
MDA, a major oxidation product of peroxidized
polyunsaturated fatty acids, has been considered as an important indicator of
lipid peroxidation.
The enhanced levels of LPO in the brains of Danio rerio in
response to 20 days of exposures to lead and cobalt were observed during the
present study suggest that production of ROS is increased which could be
associated with the metabolism of the heavy metals leading to the peroxidation of membrane lipids in brain tissues.
Lipid peroxidation is indicated by the presence of
MDA in tissues.
CONCLUSIONS-
The
biochemical investigations can be used to study the mode of action of heavy metals
and cause for death of aquatic organisms. Thus biochemical alterations in
zebrafish may be considered as biomarkers to access the health status of the
fishes as well as aquatic bodies polluted by heavy metals. Further research
should be done in order to have a clear picture of heavy metal mediated
oxidative stress and their effects on the environment and the risk they pose on
it.
ACKNOWLEDGEMENTS- The authors thankfully acknowledge the Council of Science and
Technology, Uttar Pradesh, Project No- CST/D- 383/ 2015 for financial
assistance and to Prof. D. K. Singh, Head of the Department of Zoology, DDU
Gorakhpur University, Gorakhpur, India for providing laboratory facilities to
conduct this research work.
REFERENCES
1.
Bauvais C, Zirah S, Piette L, Chaspoul F, Coulon ID. Sponging
up metals: Bacteria associated with the marine sponge Spongia
officinalis. Mar. Environ. Res., 2015; 104:
20-30.
2.
Demirak A, Yilmaz F, Levent Tuna A, Ozdemir, N. Heavy
metals in water, sediment and tissues of Leuciscus
cephlaus from a stream in southwestern Turkey.
Chemosphere. 2006; 63: 1451-1458.
3.
Dhanakumar S,
Solaraj G Mohanraj R. Heavy
metal partitioning in sediments and bioaccumulation in commercial fish species
of three major reservoirs of river Cauvery delta region, India. Ecotoxicol. Environ. Saf., 2015; 113: 145-151.
4.
Garcia
JC, Martinez DST, Alves OL,
Leonardo AFG Barbieri E. Ecotoxicological
effects of carbofuran and oxidized multiwalled carbon nanotubes on
the freshwater fish Nile tilapia: Nanotubes enhance
pesticide ecotoxicity. Ecotoxicol.
Environ. Saf., 2015; 111: 131-137.
5.
Has-Schön E, Bogut I Strelec I. Heavy metal profile in five fish species
included in human diet, domiciled in the end flow of River Neretva.
Arch Environ Contam Toxicol.
2006; 50: 545-551.
6.
Sfakianakis
DG, Renieri E, Kentouri M, Tsatsakis AM. Effect of heavy metals on fish larvae
deformities: A review. Enviro. Res., 2015; 137:
246-255.
7.
Abadi DRV, Dobaradaran S, Nabipour I, Lamani X, Ravanipour M.
Comparative investigation of heavy metal, trace, and macro element contents in
commercially valuable fish species harvested off from the Persian Gulf.
Environ. Sci. Pollut. Res., 2014.
8.
Sivaperumal P,
Sankar TV, Viswanathan Nair
PG. Heavy metal concentrations in fish, shellfish and fish products from internal
markets of India vis-a-vis
international standards. Food Chem 2007; 102:
612-620.
9.
Kennedy
CJ. The toxicology of metals in fishes. Academic Press, San Diego, California,
USA. 2011.
10. Ashraj w. Accumulation of heavy metal in kidney and heart tissues of Epinephelus microdon fish
from the Arabian Gulf. Environ. Monit. Assess. 2005;
101: 311-316.
11. Farombi
E, Adelowo OA, Ajimoko YR.
Biomarkers of oxidative stress and heavy metal levels as indicators of
environmental pollution in African cat fish Clarias
gariepnus from Nigeria Ogun
River. Int. J. Environ. Res. Public
Health.2007; 4: 158-165.
12. Olaifa
FG, Olaifa AK, Onwude TE.
Lethal and sub lethal effects of copper to the African Cat fish, (Clarias
garpienus). Afr. J. Biomed. Res., 2004; 7: 65-70.
13. Lacher
TE, Goldstein. M.I.Tropical ecotoxicology:
status and needs. Environ. Toxicol. Chem., 1997;
16(1): 100-111.
14. Sow
AY, Ismail A, Zulkifli SZ. Copper and Zinc speciation
in soils from paddy cultivation areas in Kelantan, Malaysia. Acta. Biologica Malaysiana. 2012; 1: 26-35.
15. Dinodia
GS, Gupta RK, Jain KL. Proc. XI
Natl., Symp. Environ. 2002; 236-238.
16. Watson
WA. Annual report of the American Association of Poison Control Centers Toxic
Exposure Surveillance System. Am J Emerg
Med. 2005; 23:589–666.
17. El-Nekeety AA, El-Kady AA, Soliman MS, Hassan NS, Abdel-Wahhab
MA. Protective effect of Aquilegia vulgaris (L.)
against lead acetate-induced oxidative stress in rats. Food Chem
Toxicol 2009; 47: 2209–2215.
18. Patrick
L. Lead toxicity part II: the role of free radical damage and the use of
antioxidants in the pathology and treatment of lead toxicity. Altern Med Rev. 2006; 11:114–127.
19. Chen
J, et al. Developmental lead acetate
exposure induces embryonic toxicity and memory deficit in adult zebrafish. Neurotoxicol Teratol 2012; 34:581–586.
20. Ercal N, Gurer-Orhan
H, Aykin-Burns N. Toxic metals and oxidative stress
part I: Mechanisms involved in metal induced oxidative damage. Current Topics
in Medical Chemistry. 2001; 1: 529–539.
21. Jezierska B, Witeska M. The metal uptake and
accumulation in fish living in polluted waters. NATO Science Series,
Netherlands: Springer. 2006.
22. Yaqub S, Javed M. Acute toxicity of water-borne
and dietary cadmium and cobalt for fish. Int. J.Agric.
Biol., 2012; 14: 276-280.
23. Javed M, Usmani N, Ahmad I, Ahmad M. Studies on
the oxidative stress and gill histopathology in Channa
punctatus of the canal receiving heavy metal
loaded effluent of Kasimpur Thermal Power Plant.
Environ. Monit. Assess 2015; 187: 4179.
24. Arellano
JM, Blasco J, Ortiz JB, Capeta-Da
Silva D, Navarro A, Sanchez-Del Pin MJ, Ashraj W.
Accumulation of heavy metal in kidney and heart tissues of Epinephelus
microdon fish from the Arabian Gulf. Environ. Monit. Assess., 2005; 101: 311-316.
25. International Organization for Standardization,
(1978). Final (Revised) proposal for screening chemicals and other products for
acute toxicity to fresh water fish, document ISO/TC 147/SC. 5/WG. 3
(Secrariat-6), 18 November.
26. Organization
of Economic Cooperation and Development (OECD) 1992- Guidelines for testing of
chemicals, Guideline 2010. “Fish, Early- life stage Toxicity Test.” Adopted
July 17, 1992.
27. Singh
CB, Ansari BA. Toxicity of two heavy metals lead and
cobalt on zebrafish, Danio rerio. Sch. Acad. J. Biosci.,
2017; 5 (9): 682-687.
28. Sinha
AK. Colorimetric assay of Catalase. Anal. Biochem., 1972; 47: 389-394.
29. Paglia
DE, Valentine WN, Dahlgren JG. Effects of low level lead exposure on Pyrimidine 5’-nucleotidase and other erythrocyte enzymes.
Possible role of pyrimidine 5’- nucleotidase
in the pathogenesis of lead induced anemia. J. Clinical Investig, 1975; 56: 1164- 1169.
30. Placer
ZA, Cushman I, Johnson BC. Estimation of product of lipid peroxidation
(Malonyldialdehyde) in biochemical systems. - Anal. Biochem. 1966; 16: 359-364.
31. Lowry
OH, Rosenbrough NJ, Farr AL, Randall RJ. Protein
measurement with Folin phenol reagent. J. Biol. Chem. 1951; 193: 265-275.
32. Sharma
DK, Ansari BA. Effects of deltamethrin
on CAT, LPO and GSH in Tissues of zebrafish Danio
rerio. Res. J. of Environ. Toxicol.
2013; 7 (1): 38-46.
33. Lima
PL, Benassi JC, Pedrosa RC,
Dal Magro J, Oliveira TB,
Wilhelm Filho D. Time-course variations of DNA damage
and biomarkers of oxidative stress in tilapia (Oreochromis niloticus) exposed to effluents from a swime industry. Arch. Environ. Contam.
Toxicol. 2006;
50: 23-30.
34. Filho
DW. Fish antioxidant defenses a comparative approach. Brazilian Journal of Medical and Biological Research, 1996; 29:
1735– 1742.
35. Pandey
S, Parvez S, Sayeed I, Haque R, Bin-Hafeez B, Raisuddin S. Biomarkers of
oxidative stress: A comparative study of river Yamuna fish Wallago
attu (Bl. & Schn.).
The Science of the Total Environment, 2003; 309: 105–115.
36. Dautremepuits
C, Paris-Palacios S, Betoulle S, Vernet
G. Modulation in hepatic and head kidney parameters of carp (Cyprinus carpio L.)
induced by copper and chitosan. Comp Biochem Physiol C Toxicol Pharmacol. 2004; 137: 325-33.
37. Lopes
PA, Pinheiro T, Santos MC, da
Luz Mathias M, Collares-Pereira MJ, Viegas-Crespo AM. Response of antioxidant enzymes in
freshwater fish populations (Leuciscus alburnoides complex) to inorganic pollutants exposure. Sci Total Environ. 2001; 280, 153-63.
38. Kadar
E, Costa V, Santos RS. Distribution of micro-essential (Fe, Cu, Zn) and toxic
(Hg) metals in tissues of two nutritionally distinct hydrothermal shrimps. Sci Total Environ. 2005; 65-70.
39. Gul
S, Belge-Kurutas E, Yildiz
E, Sahan A, Doran F. Pollution correlated
modifications of liver antioxidant systems and histopathology of fish (Cyprinidae) living in Seyhan Dam
Lake, Turkey. Environ Int. 2004;
30: 605-9.
40. Kono
Y, Fridovich I. Superoxide radical inhibits catalase.
J. Biol. Chem. 1982; 257, 5751-4.
41. McCord JM. Effects of positive iron status at
a cellular level. Nutr Rev. 1996; 54: 85-8.
42. Naziroglu
M. Role of selenium on calcium signaling and oxidative stress-induced molecular
pathways in epilepsy. Neurochem. Res. 2009;
34(12):2181–2191.
43. Kovacic
P, Somanathan R. Unifying mechanism for eye toxicity:
electron transfer, reactive oxygen species, antioxidant benefits, cell
signaling and cell membranes. Cell Membr Free Radic Res 2008; 1(2):56–69.
44. Ozkaya
MO, Naziroglu M. Multivitamin and mineral
supplementation modulates oxidative stress and antioxidant vitamin levels in
serum and follicular fluid of women undergoing in vitro fertilization. Fertil Steril, 2010;
94(6):2465–2466.
45. Pi
J, Zhang Q, Fu J, Woods CG, Hou Y, Corkey BE, Collins S, Andersen ME. ROS signaling, oxidative
stress and Nrf2 in pancreatic beta-cell function. Toxicol
Appl Pharmacol. 2010;
244(1):77–83.
46. Stanic
B, Andric N, Zoric S, Grubor-Lajsic
G, Kovacevic R. Assessing pollution in the Danube
River near Novi Sad (Serbia) using several biomarkers in sterlet
(Acipenser ruthenus L.).
Ecotoxicol Environ Safety, Sep 26. 2005.
47. Tripathi
G, Singh H. Impact of Alphamethrin on biochemical
parameters of Channa punctatus.
J. Environ. Biol. 2013; 34: 227-230.
48. Thomas
PC, Murthy TL. Studies on the impact of a few organic pesticides on certain
fish enzyme. Indian J. Anim. Sci. 1976; 46: 619-624.
49. Regoli
F, Principato G. Glutathone,
dependent and antioxidant enzymes in mussel, Mytilus galloprovincialis, exposed to metals
under field and laboratory conditions: implications for the use of biochemical
biomarkers. Aquat. Toxicol.
1995; 31: 143-164.
50. Avellini
L, Spaterna A, Rebold GP, Gaiti A. Defense mechanism against free radicals-induced
damage in sheep, cattle and dog erythrocytes. Comp. Biochem.
Physiol. 1993; 106:391-394.
51. Doyotte
Cossu C, Jacquin MC, Babut M, Vasseur P. Antioxidant
enzymes, glutathione and lipid peroxidation as
relevant biomarkers of experimental or field exposure in the gills and the
digestive glands of the freshwater bivalve Unio tumidus. Aquat.
Toxicol. 1997; 39: 93-110.
52. Dimitrova
MST, Tsinova V, Velcheva V.
Combined effect of zinc and lead on the hepatic superoxide dismutase-catalase
system in carp (Cyprinus carpio).
Comp. Biochem. Physiol. 1994; 108:43-46.
53. Rodriguez
- Ariza, Peinado J, Pueyo C, Lopez-Barea J.
Biochemical indicators of oxidative stress in fish from polluted littoral areas. Can. J. Fish Aquat.
Sci. 1993; 50: 2568-2573.
54. Pickering
KD, Wiesner MR. Fullerol-
sensitized production of reactive oxygen species in aqueous solution. Environ.
Sci. Tech. 2005; 39:1359-1365.
55. Padmini E, Meenakshi N, Tharani
J. Changes
in Oxidative Stress and Antioxidant Statusin Stressed
Fish Brain. Intern. Jour. of Sci. and
Research. 2014; 3:164-170.
56. Joseph K, Saliu, Kafilat A, Bawa-Allah.
Toxicological Effects of Lead and Zinc on the Antioxidant Enzyme Activities of
Post Juvenile Clarias gariepinus.
Resources and Environment. 2012; 2(1): 21-26.
57. Banerjee
BD, Seth V, Bhattacharya A. Biochemical effects of some pesticides on lipid peroxidation and free-radical scavengers. Toxicol Lett 1999; 107: 33-47.
58. Vlahogianni
T, Dassenakis M, Scoullos
MJ, Valavanidis A. Integrated use of biomarkers
(superoxide dismutase, catalase and lipid peroxidation)
in mussels Mytilus galloprovincialis
for assessing heavy metals pollution in coastal areas from the saronikos Gulf of Greece. Mar Pol
Bul. 2007; 54: 1361-1371.