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. 2020 Dec 18;9(12):478.
doi: 10.3390/biology9120478.

Effects of Propranolol on Growth, Lipids and Energy Metabolism and Oxidative Stress Response of Phaeodactylum tricornutum

Affiliations

Effects of Propranolol on Growth, Lipids and Energy Metabolism and Oxidative Stress Response of Phaeodactylum tricornutum

Bernardo Duarte et al. Biology (Basel). .

Abstract

Present demographic trends suggest a rise in the contributions of human pharmaceuticals into coastal ecosystems, underpinning an increasing demand to evaluate the ecotoxicological effects and implications of drug residues in marine risk assessments. Propranolol, a non-selective β-adrenoceptor blocker, is used worldwide to treat high blood pressure conditions and other related cardiovascular conditions. Although diatoms lack β-adrenoceptors, this microalgal group presents receptor-like kinases and proteins with a functional analogy to the animal receptors and that can be targeted by propranolol. In the present work, the authors evaluated the effect of this non-selective β-adrenoceptor blocker in diatom cells using P. tricornutum as a model organism, to evaluate the potential effect of this compound in cell physiology (growth, lipids and energy metabolism and oxidative stress) and its potential relevance for marine ecosystems. Propranolol exposure leads to a significant reduction in diatom cell growth, more evident in the highest concentrations tested. This is likely due to the observed impairment of the main primary photochemistry processes and the enhancement of the mitochondrial respiratory activity. More specifically, propranolol decreased the energy transduction from photosystem II (PSII) to the electron transport chain, leading to an increase in oxidative stress levels. Cells exposed to propranolol also exhibited high-dissipated energy flux, indicating that this excessive energy is efficiently diverted, to some extent, from the photosystems, acting to prevent irreversible photoinhibition. As energy production is impaired at the PSII donor side, preventing energy production through the electron transport chain, diatoms appear to be consuming storage lipids as an energy backup system, to maintain essential cellular functions. This consumption will be attained by an increase in respiratory activity. Considering the primary oxygen production and consumption pathways, propranolol showed a significant reduction of the autotrophic O2 production and an increase in the heterotrophic mitochondrial respiration. Both mechanisms can have negative effects on marine trophic webs, due to a decrease in the energetic input from marine primary producers and a simultaneous oxygen production decrease for heterotrophic species. In ecotoxicological terms, bio-optical and fatty acid data appear as highly efficient tools for ecotoxicity assessment, with an overall high degree of classification when these traits are used to build a toxicological profile, instead of individually assessed.

Keywords: energy metabolism; pharmatoxicology; photobiology; primary producers; toxicophenomics.

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Conflict of interest statement

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

Figures

Figure 1
Figure 1
Growth curves ((A), grey area corresponds to the exposure period), specific growth rate (B) and growth inhibition percentages (C) of Phaeodactylum tricornutum cultures exposed to different propranolol concentrations (average ± standard error, n = 3, letters denote differences at p < 0.05).
Figure 2
Figure 2
Kautsky plot curves (fluorescence in arbitrary units (a.u.)) from Phaeodactylum tricornutum cultures exposed to the different propranolol concentrations (average ± standard error, n = 3).
Figure 3
Figure 3
Absolute (A) and relative (B) phenomological energy fluxes (ABS/CS—absorbed energy flux per cross-section; TR/CS—trapped energy flux per cross-section; ET/CS—electron transport energy flux per cross-section; DI/CS—dissipated energy flux per cross-section and RC/CS—number of available reaction centers per cross-section) and (C) reaction centre density (RC/ABS) in Phaeodactylum tricornutum cultures exposed to different propranolol concentrations (average ± standard error, n = 3, letters denote differences at p < 0.05).
Figure 4
Figure 4
Energy required to close all RCs (SM, A), RC turnover rate (N, B) and the size of the quinone pool (area, C) in Phaeodactylum tricornutum cultures exposed to different propranolol concentrations (average ± standard error, n = 3, letters denote differences at p < 0.05).
Figure 5
Figure 5
Contribution of the light and dark reactions to the primary photochemistry (A) and redox equilibrium constant between photosystem I and II (B) in Phaeodactylum tricornutum cultures exposed to different propranolol concentrations (average ± standard error, n = 3, letters denote differences at p < 0.05).
Figure 6
Figure 6
Mitochondrial electron transport system (ETS, A), available energy (Ea, B) and cellular energy allocation (CEA, C) in Phaeodactylum tricornutum cultures exposed to different propranolol concentrations (average ± standard error, n = 3, letters denote differences at p < 0.05).
Figure 7
Figure 7
Catalase (A), ascorbate peroxidase (B), superoxide dismutase (C) activities and lipid peroxidation products (D) in Phaeodactylum tricornutum cultures exposed to different propranolol concentrations (average ± standard error, n = 3, letters denote differences at p < 0.05).
Figure 8
Figure 8
Fatty acid relative concentration (%) and saturation class abundance (%, SFA—Saturated Fatty Acids; MUFA—Monounsaturated Fatty Acids; PUFA—Polyunsaturated Fatty Acids; LC-PUFA—Long Chain Polyunsaturated Fatty Acids; UFA—Unsaturated Fatty Acids) in Phaeodactylum tricornutum cultures exposed to different propranolol concentrations (average, n = 3, letters denote differences at p < 0.05).
Figure 9
Figure 9
Saturated to unsaturated fatty acid ratio (A) and fatty acid double-bound index (B) in Phaeodactylum tricornutum cultures exposed to different propranolol concentrations (average, n = 3, letters denote differences at p < 0.05).
Figure 10
Figure 10
Canonical analysis of principal (CAP) components of the bio-optical and fatty acids profiles obtained from the analysis of Phaeodactylum tricornutum cultures exposed to the different propranolol concentrations.

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