Sürdürülebilir Kalkınma Amaçları

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Yazarlar

• Acquaviva, Alessandra(1)
• Brunetti, Luigi(1)
• Cakilcioğlu, Ugur(1)
• Cantò, Luca(1)
• Carradori, Simone(1)
• Chiavaroli, Annalisa(1)
• Di Simone, Simonetta Cristina(1)
• Di Vito, Maura(1)
• Doğan, Gürkan(1)
• Elkiran, Omer(1)
• Ergen, Burhan(1)
• Ferrante, Claudio(1)
• Ibrahim Uba, Abdullah(1)
• Imak, Andaç(1)
• Ingallina, Cinzia(1)
• Leone, Sheila(1)
• Mannina, Luisa(1)
• Maria Loreta, Libero(1)
• Masciulli, Fabrizio(1)
• Menghini, Luigi(1)
• Mukemre, Muzaffer(1)
• Nilofar(1)
• Orlando, Giustino(1)
• Recinella, Lucia(1)
• Sengur, Abdulkadir(1)
• Zengin, Gokhan(1)

• MakaleAçık Erişim2025Scopus SJRQ2/r/munzur/1200
  HASK-Net: new hybrid attention selective kernel network for automatic colon cancer detection from colonoscopy images

  Imak, Andaç; Doğan, Gürkan; Sengur, Abdulkadir; Ergen, Burhan

  Colorectal cancer is a frequently analyzed cancer type seen today. It is the third leading of cancer in terms of incidence. It is among the second leading cases resulting in death. However, when detecting pre-cancerous polyps using traditional methods, the rate of being overlooked is high. Therefore, the rate of missed polyps can be greatly reduced with deep learning-based computer-aided diagnosis (CADx) methods. In this study, a novel convolutional neural network based on CADx, called HASK-Net, is proposed for automatic polyp detection. While HASK-Net uses ResNet50 as a feature extractor in the encoder network, the novely designed hybrid attention selective kernel convolution uses it in the decoder network to increase the representation power in feature maps and learn more complex features. In experimental results on the publicly available Hiper-Kvasir and EndoTech 2020 benchmark datasets, HASK-Net showed extremely promising performance with a dice similarity score of 97.02% and 84.83% and an mIoU score of 95.38% and 84.32%, respectively.

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• MakaleAçık Erişim2024Scopus SJRQ1/r/munzur/1579
  Comprehensive metabolite and biological profile of “Sulmona Red Garlic” ecotype's aerial bulbils

  Chiavaroli, Annalisa; Masciulli, Fabrizio; Ingallina, Cinzia; Mannina, Luisa; Maria Loreta, Libero; Di Simone, Simonetta Cristina; Acquaviva, Alessandra; Nilofar; Recinella, Lucia; Leone, Sheila

  “Sulmona Red Garlic” is a well-known Italian traditional product. Bulbs, used for culinary purposes, have been largely investigated for their medicinal properties whereas aerial bulbils are usually removed as waste material. Here, for the first time, chemical composition and biological properties of the hydroalcoholic extract from aerial bulbils were investigated. Complementary information on metabolite composition were obtained using both NMR based untargeted and HPLC-DAD targeted methodologies. The NMR analysis revealed the presence of sugars, organic acids, amino acids, organosulphur compounds (methiin, alliin, allicin and cycloalliin), and other secondary metabolites. In particular, methiin and alliin were identified for the first time in the NMR spectra of aerial bulbil garlic extracts. Polyphenol content was determined by HPLC-DAD analysis: catechin, chlorogenic acid, and gallic acid turned out to be the most abundant phenolics. Hydroalcoholic extract blocked cell proliferation of colon cancer cell line HCT116 with an IC50 of 352.07 µg/mL, while it was non-toxic to myoblast cell line C2C12. In addition, it caused seedling germination reduction of two edible and herbaceous dicotyledon species, namely Cichorium intybus and C. endivia. Moreover, the same extract reduced the gene expression of TNF-α (tumor necrosis factor), HIF1-α (hypoxia-inducible factor), VEGFA (vascular endothelial growth factor), and transient receptor potential (TRP) M8 (TRPM8) indicating the ability to contrast cancer development through the angiogenic pathway. Final, in silico experiments were also carried out supporting the biological effects of organosulphur compounds, particularly alliin, which may directly interact with TRPM8. The results here reported suggest the potential use of garlic aerial bulbils often considered a waste product as a source in phytotherapeutic remedies.

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  AtıfScopus12·OpenAlex13

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