| Literature DB >> 21716691 |
Singaram Gopalakrishnan1, Fang-Yi Chen, Harikrishnan Thilagam, Kun Qiao, Wan-Fang Xu, Ke-Jian Wang.
Abstract
Invertebrates are dependent on cellular and humoral immune defences against microbial infection. Scylla paramamosain is an important commercial species, but the fundamental knowledge on its immune defense related to the antioxidant and immune-associated reactions is still lacking. The study was to differentiate the responses of immune-associated parameters of haemolymph components in S. paramamosain when challenged with bacterial lipopolysaccharides (LPSs). The immunostimulating effects of LPS in crab by triggering various immune parameters (phagocytosis, lysozyme, antibacterial activity, phenoloxidase, and the generation of superoxide and nitric oxide) were investigated. Results showed that the generation of free radicals, phenoloxidase, lysozyme and antibacterial activities was significantly increased through the exposure periods. Conversely, total hemocyte count and lysosomal membrane stability decreased significantly as the exposure period extended to 96 h. The relationship between the antioxidant enzymes and immune reactions due to LPS was highly significant. In addition, ROS production was positively correlated with antioxidant showing immediate response of antioxidant defense to the oxyradicals generated. Overall, the study indicated that nonspecific immune components in hemocytes of crab showed active response to the LPS stimulation, and their responses suggested that many immune-associated parameters could be modulated and interrelated with the influence of antioxidants in crustaceans.Entities:
Year: 2011 PMID: 21716691 PMCID: PMC3118543 DOI: 10.1155/2011/824962
Source DB: PubMed Journal: Evid Based Complement Alternat Med ISSN: 1741-427X Impact factor: 2.629
Figure 1The effect of LPSs on (A) THC, (B) percent phagocytosis, (C) superoxide anion generation, and (D) nitric oxide. Data, representing the mean ± S.D. of 3 determinations using samples from different preparations, were analyzed using ANOVA followed by the Tukey post hoc test. The same letters (a, b, and c) indicate no significant difference between challenge groups at different exposure periods, whereas different letters indicate statistically significant differences (P ≤ .05) between different exposure periods and groups.
Figure 2The effect of LPSs on (A) phenoloxidase, (B) membrane stability, (C) lysozyme activity, and (D) antibacterial activity. Data, representing the mean ± S.D. of 3 determinations using samples from different preparations, were analyzed using ANOVA followed by the Tukey post hoc test. The same letters (a, b, and c) indicate no significant difference between challenge groups at different exposure periods, whereas different letters indicate statistically significant differences (P ≤ .05) between different exposure periods and groups.
Correlation matrix for measured parameters in Scylla paramamosain challenged with LPSs.
| Correlation Matrix | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| LMS | PO | LY | AB | PHA | SO2 − | NO | THC | HLS-SOD | HLS-CAT | SERUM-SOD | SERUM-CAT | |
| LMS | 1.000 | −0.483* | −0.293 | 0.807** | −0.202 | −0.374 | −0.453 | 0.684** | −0.326 | −0.441 | 0.192 | 0.265 |
| PO | 1.000 | 0.565* | −0.799** | 0.606** | 0.787** | 0.799** | −0.601** | 0.652** | 0.671** | 0.249 | 0.298 | |
| LY | 1.000 | −0.313 | 0.540* | 0.399 | 0.444 | −0.549∗ | 0.069 | 0.432 | 0.000 | 0.066 | ||
| AB | 1.000 | −0.416 | −0.733** | −0.724** | 0.724** | −0.673** | −0.671** | −0.144 | −0.117 | |||
| PHA | 1.000 | 0.769** | 0.693** | −0.520* | 0.433 | 0.661** | 0.206 | 0.381 | ||||
| SO2 − | 1.000 | 0.863** | −0.559* | 0.725** | 0.818** | 0.394 | 0.561* | |||||
| NO | 1.000 | −0.590** | 0.709** | 0.726** | 0.343 | 0.304 | ||||||
| THC | 1.000 | −0.446 | −0.632** | 0.125 | −0.006 | |||||||
| HLS-SOD | 1.000 | 0.742** | 0.690** | 0.638** | ||||||||
| HLS-CAT | 1.000 | 0.472* | 0.639** | |||||||||
| SERUM-SOD | 1.000 | 0.772** | ||||||||||
| SERUM-CAT | 1.000 | |||||||||||
**Correlation is significant at the 0.01 level (2-tailed); *Correlation is significant at the 0.05 level (2-tailed).
LMS: lysosomal membrane stability, PO: phenoloxidase, LY: lysozyme activity, AB: antibacterial activity, PHA: phagocytosis, SO2 −: superoxide anion generation, NO: nitric oxide, THC: total hemocyte count, HLS: hemocyte lysate solution, SOD: superoxide dismutase, and CAT: catalase.