Effects of non-steroidal anti-inflammatory drug (NSAID) diclofenac exposure in mussel Mytilus galloprovincialis.

In recent years, research studies have increasingly focused on assessing the occurrence of active pharmaceutical ingredients (APIs) in ecosystems. However, much remains unknown concerning the potential effects on APIs on non-target organisms due to the complexity of the mode of action, reactivity and bioconcentration potential for each specific drug. The non-steroidal anti-inflammatory drug (NSAID) diclofenac (DCF) is one of the most frequently detected APIs in surface waters worldwide and has recently been included in the list of priority substances under the European Commission. In this study, mussels (Mytilus galloprovincialis) were exposed to an environmentally relevant nominal concentration of DCF (250 ng L(-1)) over 15 days. The responses of several biomarkers were assessed in the mussel tissues: condition index (CI); superoxide dismutase (SOD), catalase (CAT), glutathione reductase (GR) and phase II glutathione-S-transferase (GST) activities, lipid peroxidation levels (LPO) associated with oxidative stress, acetylcholinesterase (AChE) activity related to neurotoxic effects and vitellogenin-like proteins linked to endocrine disruption. This study demonstrated significant induction of SOD and GR activities in the gills in addition to high CAT activity and LPO levels in the digestive gland. Phase II GST remained unaltered in both tissues, while the up-regulation of the AChE activity was directly related to the vitellogenin-like protein levels in exposed females, indicating an alteration in the estrogenic activity, rather than a breakdown in cholinergic neurotransmission function. This study confirmed that DCF at a concentration often observed in surface water induces tissue-specific biomarker responses. Finally, this study also revealed the importance of a multi-biomarker approach when assessing the potentially deleterious effects in a species that may be vulnerable to the continuously discharge of APIs into the ecosystems; this approach provides crucial new information regarding the unknown effects of DCF.