Bioengineering / Biyomühendislik
Permanent URI for this collectionhttps://hdl.handle.net/11147/4529
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Article Citation - WoS: 4Citation - Scopus: 5Antioxidant and Antimicrobial Activities of Plants Grown in the Mediterranean Region(John Wiley and Sons Inc., 2022) Kaçar, D.; Bayraktar, Oğuz; Erdem, C.; Alamri, A.S.; Galanakis, C.M.Background: The main objective of this research was to identify plant species with possible bioactivities based on their total phenol content, antioxidant, and antimicrobial properties. Therefore, different parts of 42 plant species grown in the Mediterranean region were extracted with aqueous ethanol solutions to prepare extracts with antioxidant and antimicrobial activities, mainly resulting from their total phenol contents. No detailed laboratory data on the flora of this area exists regarding their total phenol contents and total antioxidant activities. Results: Yields of extraction for each plant material were determined. Extracts were characterized based on their total phenol contents, total antioxidant (both hydrophilic and lipophilic), and antimicrobial activities using Folin–Ciocalteu, Photochemiluminescence, disc diffusion, and microdilution methods, respectively. The extract of Hypericum empetrifolium had the relatively highest total water-soluble and lipid-soluble antioxidant activities. Sarcopoterium spinosum extract had relatively high total phenol content. Preliminary screening study was conducted with the disc diffusion method to evaluate the extracts' antimicrobial activities. 26 out of 42 plant species showed significant antimicrobial activities against the growth of microorganisms. Microdilution assays were performed to evaluate the most active plant species with their minimum inhibition concentrations. H. empetrifolium, Pistacia terebinthus, Arbutus unedo, and Cistus parviflorus were the most antimicrobial plant species among those investigated. CONCLUSION: The new potential sources for the isolation of bioactive natural compounds from specific plant species could be possible with the help of this present screening study. Isolated bioactive natural compounds can be utilized as raw materials in cosmetics, nutraceuticals, food supplements, and pharmaceutical industries. © 2022 Society of Chemical Industry.Article Anthraquinones and Macrocyclic Lactones From Endophytic Fungus Penicillium Roseopurpureum and Their Bioactivities(ACG Publications, 2024) Dizmen,B.; Üner,G.; Küçüksolak,M.; Gören,A.C.; Kırmızıbayrak,P.B.; Bedir,E.Endophytic fungi colonize the internal and distinct tissues of the host plants. In recent years, there has been growing interest in endophytic fungi as valuable sources for drug discovery based on their rich metabolic profiles consisting of novel and bioactive compounds. Accordingly, our preliminary study demonstrated that an endophyte, namely Penicillium roseopurpureum isolated from Astragalus angustifolius, had high chemical diversity with an antiproliferative effect. Herein, fermentation of P. roseopurpureum resulted in the production of five new anthraquinone-type compounds (2, 4, 6, 7, 8) together with several known compounds [11-methoxycurvularin (1: epimeric mixture of 1a and 1b), carviolin (3), 11-hydroxycurvularin (5: diastereoisomeric mixture of 5a and 5b) and 1-O-methylemodin (9)]. The structures of the new compounds were established by NMR spectroscopy and HR-MS analysis. Cytotoxicity studies demonstrated that none of the compounds except for 1 and 5 had antiproliferative activity against prostate cancer cell lines. Interestingly, 1 was found as cytotoxic, whereas 5 exhibited cytostatic properties. Also, 7-AAD/Annexin V staining supported these results by showing that 1 caused cellular death, while 5 did not show any increase in dead cell content in comparison to the control. Lastly, cell cycle analysis showed that compounds had distinctive cell cycle arrest patterns. © 2024 ACG Publications.Article Blank Frame and Intensity Variation Distortion Detection and Restoration Pipeline for Phase-Contrast Microscopy Time-Lapse Images(Aves, 2024) Ucar, Mahmut; Iheme, Leonardo O.; Onal, Sevgi; Pesen-Okvur, Devrim; Yalcin-Ozuysal, Ozden; Toreyin, Behcet U.; Unay, DevrimIn this study, we propose a preprocessing pipeline for the detection and correction of distorted frames in time-lapse images obtained from phase-contrast microscopy. The proposed pipeline employs the average intensities of frames as a foundational element for the analysis. In order to evaluate the degree of correction required for intensity variance, a normalization technique is applied to the difference between the average intensity of a specific frame and the median average intensity of all frames within the study. Our restoration method increases the histogram similarity between the distorted and non-distorted frames, preserves trans-passing pixels in regions of interest, and mitigates the development of additional distortions. The efficacy of the proposed method was evaluated using 15 395 time-lapse image frames from 27 experiments using our own dataset and 830 time-lapse images from four different experiments obtained from the cell tracking challenge. The results of the validation demonstrate a high degree of numerical and visual accuracy of the proposed pipeline.Article Citation - WoS: 7Citation - Scopus: 8Ascorbic Acid Enhances the Metabolic Activity, Growth and Collagen Production of Human Dermal Fibroblasts Growing in Three-Dimensional (3D) Culture(Gazi Üniversitesi, 2023) Dikici, SerkanTissue engineering (TE) enables the development of functional synthetic substitutes to be replaced with damaged tissues and organs instead of the use of auto or allografts. A wide range of biomaterials is currently in use as TE scaffolds. Among these materials, naturally sourced ones are favorable due to being highly biocompatible and supporting cell growth and function, whereas synthetic ones are advantageous because of the high tunability on mechanical and physical properties as well as being easy to process. Alongside the advantages of synthetic polymers, they mostly show hydrophobic behavior that limits biomaterial-cell interaction and, consequently, the functioning of the developed TE constructs. In this study, we assessed the impact of L-Ascorbic acid 2-phosphate (AA2P) on improving the culture conditions of human dermal fibroblasts (HDFs) growing on a three-dimensional (3D) scaffold made of polycaprolactone (PCL) using emulsion templating. Our results demonstrated that AA2P enhances the metabolic activity and growth of HDFs as well as collagen deposition by them when supplemented in their growth medium at 50 µg/mL concentration. It showed a great potential to be used as a growth medium supplement to circumvent the disadvantages of culturing human cells on a synthetic biomaterial that is not favored in default. AA2P's potential to improve cell growth and collagen deposition may prove an effective way to culture human cells on 3D PCL PolyHIPE scaffolds for various TE applications.Article Citation - WoS: 13Citation - Scopus: 17Machine Learning-Assisted Prediction of the Toxicity of Silver Nanoparticles: a Meta-Analysis(Springer, 2023) Bilgi, Eyüp; Öksel Karakuş, CeydaSilver nanoparticles are likely to be more dangerous than other forms of silver due to the intracellular release of silver ions upon dissolution and the formation of mixed ion-containing complexes. Such concerns have resulted in an ever-growing pile of scientific evaluations addressing the safety aspects of nanosilver with widely varying methodological approaches. The substantial differences in the conduct/design of nanotoxicity screening have led to the generation of conflicting findings that may be accurate in their narrative but fail to provide a complete picture. One strategy to maximize the use of individual risk assessments with potentially biased estimates of toxicological effects is to homogenize results across several studies and to increase the generalizability and human relevance of their findings. Here, we collected a large pool of data (n=162 independent studies) on the cytotoxicity of nanosilver and unrevealed potential triggers of toxicity. Two different machine learning approaches, decision tree (DT) and artificial neural network (ANN), were primarily employed to develop models that can predict the cytotoxic potential of nanosilver based on material- and assay-related parameters. Other machine learning algorithms (logistic regression, Gaussian Naive Bayes, k-nearest neighbor, and random forest classifiers) were also applied. Among several attributes compared, exposure concentration, duration, zeta potential, particle size, and coating were found to have the most substantial impact on nanotoxicity, with biomolecule- and microorganism-assisted surface modifications having the most beneficial and detrimental effects on cell survival, respectively. Such machine learning-assisted efforts are critical to developing commercially viable and safe nanosilver-containing products in the ever-expanding nanobiomaterial market.Conference Object Citation - WoS: 1The Effects of Novel Telomerase Activators on Human Adipose-Derived Mesenchymal Stem Cell (had-Msc) Proliferation and Osteogenic Differentiation(Georg Thieme Verlag Kg, 2022) Kuru, G.; Küçüksolak, Melis; Pulat, G.; Karaman, O.; Bedir, Erdal[No Abstract Available]Conference Object Citation - WoS: 1Secondary Metabolites From Endophytic Fungus Penicilium Roseopurpureum and Investigation of Their Cytotoxic Activities(Georg Thieme Verlag, 2022) Dizmen, Berivan; Üner, Göklem; Küçüksolak, Melis; Ballar Kırmızıbayrak, Petek; Bedir, Erdal[No Abstract Available]Conference Object Citation - WoS: 1Phytochemical Studies on Mastic Gum of Pistacia Lentiscus Var. Chia Collected From Karaburun Peninsula and Neuroprotective Activities of the Isolates(Georg Thieme Verlag, 2022) Demir, Mehmet; Üner, Göklem; Mu, Kurt; Aygün, M.; Ballar Kırmızıbayrak, Petek; Bedir, Erdal[No Abstract Available]Conference Object Short Lecture "method Development for Pilot Production of Astragaloside Vii"(Georg Thieme Verlag, 2022) Kurt, Mustafa Ünver; Tağ, Özgür; Bedir, ErdalBased on the promising immunostimulant effect comparable to commercialized adjuvants Alum and Quillaja saponins (including QS-21) [1], [2], [3], our team has been prompted to carry out advance studies for developing Astragaloside VII (AST VII) ([Fig. 1]) as a new vaccine adjuvant or an immunotherapeutic agent. Hence, one of the most critical challenges is establishing efficient isolation and purification processes to obtain AST VII on a large scale. Thus, this study aimed to develop a production methodology for AST VII from Turkish Astragalus species.Conference Object Short Lecture Novel Neuroprotective Metabolites Produced Via Biotransformation of Cyclocephagenol by Alternaria Eureka 1e1bl1(Georg Thieme Verlag, 2022) Küçüksolak, Melis; Üner, Göklem; Ballar Kırmızıbayrak, Petek; Bedir, ErdalNeurodegeneration refers to the loss of structure/function of neurons leading to neurological diseases including Alzheimerʼs and Parkinsonʼs. The discovery of novel therapeutics against neurodegenerative diseases has been an area of intense research as neurodegenerative diseases are a huge burden on society and the economy [1]. Numerous studies reported that natural products have the potential to prevent and treat neurodegeneration. Among these studies, the neuroprotective activities of cycloartane-type saponins are noteworthy [2], [3]. In our preliminary studies, the neuroprotective activity of cyclocephagenol, an aglycone of cyclocephaloside I from Astragalus microcephalus [4], was screened for H2O2-induced injury in SH-SY5Y cells. Based on the promising bioactivity of cyclocephagenol, the aims of this study were: i) to perform microbial transformation studies on cyclocephagenol using Alternaria eureka followed by isolation and structural characterization of the metabolites; ii) to investigate neuroprotective activities of the metabolites; iii) to understand structure-activity relationships towards neuroprotection.