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This study aimed to develop nanocapsules containing ketoprofen using rose hip oil (Keto-NC) as oil core, and to evaluate their anti-inflammatory activity in acute and chronic ear edema models in mice. Physicochemical characterization, drug release, photostability and cytotoxicity assays were performed for the developed Keto-NC formulations and compared to ketoprofen-loaded nanocapsules using medium chain triglycerides as oil core (Keto-MCT-NC). Anti-inflammatory activity of orally delivered KP (Ketoprofen-free; 10 mg.kg -1 ) or Keto-NC (2.5; 5; 10 mg.kg -1 ) was assessed in mouse acute and chronic ear edema induced by croton oil (CO). Edema histological characteristics were determined by H&E stain, and redox parameters were analyzed in blood plasma and erythrocytes. Keto-MCT-NC and Keto-NC did not exhibit differences regarding physicochemical parameters, including size diameters, polydispersity index, pH, Ketoprofen content, and encapsulation efficiency. However, Keto-NC, which contains rose hip oil as lipid core, decreased drug photodegradation under UVC radiation when compared to Keto-MCT-NC. KP or Keto-NC were not cytotoxic to keratinocyte cultures and produced equal edema inhibition in the acute protocol. Conversely, in the chronic protocol, Keto-NC was more effective in reducing edema (~60-70% on 7-9th days of treatment) when compared to KP (~40% on 8-9th days of treatment). This result was confirmed by histological analysis, which indicated reduction of edema and inflammatory infiltrate. A sub-therapeutic dose of Keto-NC (5 mg.kg -1 ) significantly reduced edema when compared to control. Finally, KP and Keto-NC exhibited similar effects on redox parameters, suggesting that the advantages associated with Ketoprofen nanoencapsulation did not involve oxidative stress pathways. The results showed that Keto-NC was more efficient than KP in reducing chronic inflammation. These data may be important for the development of strategies aiming treatment of chronic inflammatory diseases with fewer adverse effects., (Copyright © 2019 Elsevier B.V. All rights reserved.)