Increase in stable isotope ratios driven by metabolic alterations in amphipods exposed to the beta-blocker propranolol
C. Ek, Z. Yu, A. Garbaras, H. Oskarsson, A.-K. E. Wiklund, L. Kumblad, E. Gorokhova
Abstract
Anthropogenic pressures, such as contaminant exposure, may affect stable isotope ratios in biota. These changes are driven by alterations in the nutrient allocation and metabolic pathways induced by specific stressors. In a controlled microcosm study with the amphipod Gammarus spp., we studied effects of the {beta}-blocker propranolol on stable isotope signatures ({delta}15N and {delta}13C), elemental composition (%C and %N), and growth (protein content and body size) as well as biomarkers of oxidative status (antioxidant capacity, ORAC; lipid peroxidation, TBARS) and neurological activity (acetylcholinesterase, AChE). Based on the known effects of propranolol exposure on cellular functions, i.e., its mode of action (MOA), we expected to observe a lower scope for growth, accompanied by a decrease in protein deposition, oxidative processes and AChE inhibition, with a resulting increase in the isotopic signatures. The observed responses supported most of these predictions. In particular, %N was positively affected by propranolol, whereas both protein allocation and body size declined. Moreover, both ORAC and TBARS levels decreased with increasing propranolol concentration, with the decrease being more pronounced for TBARS, which indicates the prevalence of the antioxidative processes. These changes resulted in a significant increase of the {delta}15N and {delta}13C values in the propranolol-exposed animals compared to the control. These findings suggest that MOA of {beta}-blockers may be used to predict sublethal effects in nontarget species, including inhibited AChE activity, improved oxidative balance, and elevated stable isotope ratios. The latter also indicates that metabolism-driven responses to environmental contaminants can alter stable isotope signatures, which should be taken into account when interpreting trophic interactions in the food webs.
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