| Literature DB >> 28963510 |
Julien Dhinaut1, Aude Balourdet1, Maria Teixeira1, Manon Chogne1, Yannick Moret2.
Abstract
Immunopathology corresponds to self-damage of the inflammatory response, resulting from oxidizing molecules produced when the immune system is activated. Immunopathology often contributes to age-related diseases and is believed to accelerate ageing. Prevention of immunopathology relies on endogenous antioxidant enzymes and the consumption of dietary antioxidants, including carotenoids such as astaxanthin. Astaxanthin currently raises considerable interest as a powerful antioxidant and for its potential in alleviating age-related diseases. Current in vitro and short-term in vivo studies provide promising results about immune-stimulating and antioxidant properties of astaxanthin. However, to what extent dietary supplementation with astaxanthin can prevent long-term adverse effects of immunopathology on longevity is unknown so far. Here, using the mealworm beetle, Tenebrio molitor, as biological model we tested the effect of lifetime dietary supplementation with astaxanthin on longevity when exposed to early life inflammation. While supplementation with astaxanthin was found to lessen immunopathology cost on larval survival and insect longevity, it was also found to reduce immunity, growth rate and the survival of non immune-challenged larvae. This study therefore reveals that astaxanthin prevents immunopathology through an immune depressive effect and can have adverse consequences on growth.Entities:
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Year: 2017 PMID: 28963510 PMCID: PMC5622072 DOI: 10.1038/s41598-017-12769-7
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Results of time-dependent Cox regression analyses for larval survival and the whole longevity of Tenebrio molitor (n = 385) according to food supplementation with asatxanthin (Food) and the immune challenge (Challenge).
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| Variables in the best model | B | s.e. | Wald | df | p | Odd ratio |
| Challenge | 0.73 | 0.38 | 3.63 | 1 | 0.057 | 2.07 |
| Food * Challenge | -2.58 | 0.69 | 14.15 | 1 |
| 0.76 |
| Challenge * T-Cov | -0.04 | 0.02 | 3.19 | 1 | 0.074 | 0.96 |
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| Food | 0.94 | 1 | 0.760 | |||
| Food * T-Cov | 0.23 | 1 | 0.634 | |||
| Challenge * Food * T-Cov | 0.36 | 1 | 0.549 | |||
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| Food | −1.53 | 0.46 | 10.87 | 1 |
| 0.22 |
| Sex | −0.23 | 0.12 | 4.88 | 1 |
| 0.772 |
| Food * T-Cov | 0.008 | 0.003 | 8.16 | 1 |
| 1.01 |
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| Challenge | 1.15 | 1 | 0.284 | |||
| Challenge * Food | 0.15 | 1 | 0.696 | |||
| Food * Sex | 1.29 | 1 | 0.253 | |||
| Challenge * T-Cov | 0.66 | 1 | 0.416 | |||
| Challenge * Sex | 0.44 | 1 | 0.506 | |||
| Sex * T-Cov | 0.46 | 1 | 0.498 | |||
| Challenge * Food * T-Cov | 0.001 | 1 | 0.997 | |||
| Food * Sex * T-Cov | 1.53 | 1 | 0.216 | |||
| Challenge * Sex * T-Cov | 0.32 | 1 | 0.568 | |||
A time-dependent covariate (T-Cov.) was specified and included in interaction with the explanatory variables to account for their time-dependent effect. The “simple” contrast was used for Food (survival of non-supplemented larvae was used as baseline), and challenge (survival of larvae injected with saline solution only was used as baseline). The best model was searched using backward stepwise method utilizing likelihood ratio significance tests for evaluation of each effect. Procedure is available in COXREG procedure of SPSS statistical package. Model fitting was initiating with a model that included all main effect and two ways interactions, with the exception of Box. Values p ≤ 0.05 are given in bold.
Figure 1Larval survival (a) and whole insect longevity (b) of supplemented (grey lines) and non-supplemented (black lines) insects with astaxanthin after being exposed to an immune challenge by injection of a suspension of inactivated Bacillus thuringiensis (5 µL, 108 cells.mL−1). Larval survival is shown for larvae that were exposed (filled circles) or not (opened circles) to an immune challenge (a), whereas whole insect longevity is shown for males (dashed lines) and females (continuous lines) for which the immune challenge had no significant influence (b).
Multivariate analysis of variance for development time, nymph mass and adult mass of mealworm beetle larvae (n = 335) as a function of food and immune treatments.
| Source of Variation | df | F | p | |
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| MANOVA (Pillai’s trace) | Food | 3, 330 | 3.70 |
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| Challenge | 3, 330 | 2.96 |
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| ANOVA development time | Global model | 3, 332 | 7.74 |
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| Food | 1, 332 | 6.76 |
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| Challenge | 1, 332 | 7.37 |
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| ANOVA nymph mass | Global model | 3, 332 | 0.77 | 0.463 |
| Food | 1, 332 | 1.19 | 0.276 | |
| Challenge | 1, 332 | 0.25 | 0.618 | |
| ANOVA adult mass | Global model | 3, 332 | 0.20 | 0.816 |
| Food | 1, 332 | 0.01 | 0.931 | |
| Challenge | 1, 332 | 0.41 | 0.525 |
Food and immune treatments had no interactive effect on the above parameters and were consequently removed from the statistical model. The multivariate test is shown first, followed by the respective univariate tests for development time, nymph mass and adult mass. Values p ≤ 0.05 are given in bold.
Figure 2Larval development time in days of supplemented (grey bars) and non-supplemented (white bars) insects with astaxanthin after being exposed to an immune challenge by injection of a suspension of inactivated Bacillus thuringiensis (5 µL, 108 cells.mL−1). Numbers at the bottom of the bars refer to sample size.
Multivariate analysis of variance for carotenoid concentration, hemocyte concentration, PO activity, total-PO activity and antibacterial activity of mealworm beetle larvae (n = 144) as a function of food treatment and immune treatment.
| Source of Variation | df | F | p | |
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| MANOVA (Pillai’s trace) | Food | 5, 65 | 5.32 |
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| Challenge | 5, 65 | 3.37 |
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| ANOVA Carotenoid | Global model | 2, 69 | 3.54 |
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| Food | 1, 69 | 4.99 |
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| Challenge | 1, 69 | 2.08 | 0.154 | |
| ANOVA Hemocyte | Global model | 2, 69 | 3.94 |
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| Food | 1, 69 | 4.32 |
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| Challenge | 1, 69 | 3.56 | 0.063 | |
| ANOVA PO activity | Global model | 2, 69 | 4.88 |
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| Food | 1, 69 | 8.81 |
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| Challenge | 1, 69 | 0.96 | 0.331 | |
| ANOVA total-PO activity | Global model | 2, 69 | 5.21 |
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| Food | 1, 69 | 10.00 |
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| Challenge | 1, 69 | 0.43 | 0.516 | |
| ANOVA antibacterial activity | Global model | 2, 69 | 8.14 |
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| Food | 1, 69 | 9.31 |
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| Challenge | 1, 69 | 6.96 |
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Food and challenge treatments had no interactive effect on the above parameters and was consequently removed from the statistical model. The multivariate test is shown first, followed by the respective univariate tests for carotenoid concentration, hemocyte concentration, PO activity, total-PO activity and antibacterial activity. Values p ≤ 0.05 are given in bold.
Figure 3Concentration of carotenoids (a), concentration of hemocytes (b), PO activity (c), Total-PO activity (d) and antibacterial activity (e) in the hemolymph of supplemented (grey bars) and non-supplemented (white bars) larvae with astaxanthin after being exposed to an immune challenge by injection of a suspension of inactivated Bacillus thuringiensis (5 µL, 108 cells.mL−1). Numbers at the bottom of the bars refer to sample size.
Figure 4Survival of supplemented (grey lines) and non-supplemented (black lines) larvae with astaxanthin after being exposed to an infection with either (a) Bacillus cereus or (b) Bacillus thuringiensis.