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Öğe The effect of fucoidin on kidney and lung injury in a rat infrarenal aortic ischemia-reperfusion model(Sage Publications Ltd, 2022) Guney, Turkan; Kocman, Atacan Emre; Ozatik, Orhan; Akyuz, FahrettinBackground: The aim of this study was to investigate the effects of fucoidin on rat kidney and lung in an infraaortic ishemia reperfusion model. Methods: Forty Wistar rats were randomly divided into five groups (n = 8) as sham, control (IR), before ischemia (BI), before reperfusion (BR), and before ischemia and before reperfusion (BI/BR). Rats were subjected to 120 minutes ischemia followed by 120 minutes reperfusion with application of infrarenal aortic clamping. BI received intravenous fucoidin (25 mg/kg) ten minutes before establishing ischemia and BR received ten minutes before reperfusion. BI/BR group received half equal doses of fucoidin both before ischemia (12.5 mg/kg) and reperfusion (12.5 mg/kg) periods, respectively. After sacrification blood and tissue samples were obtained for biochemical (Malondialdehyde (MDA), Nitric oxide (NO), Myeloperoxidase (MPO), Catalase (CAT), Plasma Chitotriosidase (CHIT) and serum ischemia modified albumin (IMA)) and histologic examinations. Results: MDA, NO, MPO, CAT, and IMA levels were lower in BR and BI/BR groups compared to control group (p < 0.001). Plasma CHIT levels in BR and BI/BR groups were lower than in control group (p < 0.05). According to histological examination kidney and lung injury scores were lower in BR and BI/BR groups compared to control group (p < 0.01 and p < 0.001, respectively). Conclusion: The study showed that fucoidin is effective in preventing kidney and lung injury if administered before reperfusion or both before ischemia and reperfusion. However, it has no effect if administered only before ischemia.Öğe Evaluation of the Relationship between Cancer and Antioxidants from an Altmetric Perspective(2022) Guney, Turkan; Dokur, Mehmet; Vardar, Gökay; Hanikoğlu, Ferhat; Karadağ, MehmetObjectives: Antioxidants have been shown in research to have significant effects on serious diseases, particularly cancer. The goal of our experiment was to determine and analyzed 100 articles with the highest Altmetric attention scores (AAS) concerning antioxidants and cancer. Methods: Altmetric score analyzes were obtained downloading the from the Altmetric.com website. A research output's altmetric score was calculated using an algorithm based on the weighted number of all attention it receives. Results: The Altmetric scores of the 100 articles analyzed varied from 12 to 846. Twitter (n=86) was the most mentioned social media network in the articles. According to the research categories of the T100 articles in our analysis, the majority were published in "Medical and Health Science''. In terms of Twitter geographical breakdown, the United States leads among other nations, followed by the United Kingdom. According to Twitter demographics, the most of tweets on antioxidants and cancer were shared by members of the public. Conclusion: In science and research, social media is advocated as an alternative to traditional power structures and our findings could provide a preliminary look at the social, clinical, and academic impact of antioxidant and cancer research.