Öksel Karakuş, Ceyda
Loading...
Profile URL
Name Variants
Oksel Karakus, Ceyda
Karakuş, C. Öksel
Oksel, C.
Öksel, C.
Oksel, Ceyda
Öksel, Ceyda
Karakus, C. Oksel
Karakuş, Ceyda Öksel
Karakus, Ceyda Oksel
Karakuş, C. Öksel
Oksel, C.
Öksel, C.
Oksel, Ceyda
Öksel, Ceyda
Karakus, C. Oksel
Karakuş, Ceyda Öksel
Karakus, Ceyda Oksel
Job Title
Email Address
ceydaoksel@iyte.edu.tr
Main Affiliation
03.01. Department of Bioengineering
Status
Current Staff
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
Sustainable Development Goals
1NO POVERTY
0
Research Products
2ZERO HUNGER
0
Research Products
3GOOD HEALTH AND WELL-BEING
9
Research Products
4QUALITY EDUCATION
1
Research Products
5GENDER EQUALITY
0
Research Products
6CLEAN WATER AND SANITATION
0
Research Products
7AFFORDABLE AND CLEAN ENERGY
3
Research Products
8DECENT WORK AND ECONOMIC GROWTH
1
Research Products
9INDUSTRY, INNOVATION AND INFRASTRUCTURE
4
Research Products
10REDUCED INEQUALITIES
0
Research Products
11SUSTAINABLE CITIES AND COMMUNITIES
0
Research Products
12RESPONSIBLE CONSUMPTION AND PRODUCTION
0
Research Products
13CLIMATE ACTION
1
Research Products
14LIFE BELOW WATER
1
Research Products
15LIFE ON LAND
0
Research Products
16PEACE, JUSTICE AND STRONG INSTITUTIONS
0
Research Products
17PARTNERSHIPS FOR THE GOALS
0
Research Products
Documents
28
Citations
785
h-index
17
Documents
40
Citations
709
Scholarly Output
30
Articles
20
Views / Downloads
47782/3625
Supervised MSc Theses
2
Supervised PhD Theses
2
WoS Citation Count
271
Scopus Citation Count
222
Patents
0
Projects
2
WoS Citations per Publication
9.03
Scopus Citations per Publication
7.40
Open Access Source
15
Supervised Theses
4
| Journal | Count |
|---|---|
| Toxicology Letters | 5 |
| Nanotoxicology | 3 |
| Pediatric Allergy and Immunology | 2 |
| Ceramics International | 1 |
| Ceramics - Silikaty | 1 |
Current Page: 1 / 4
Scopus Quartile Distribution
Competency Cloud
30 results
Scholarly Output Search Results
Now showing 1 - 10 of 30
Review Citation - WoS: 69Nanoparticle-Protein Corona Complex: Understanding Multiple Interactions Between Environmental Factors, Corona Formation, and Biological Activity(TAYLOR & FRANCIS LTD, 2021) Tomak, Aysel; Tomak, Aysel; Çesmeli, Selin; Öksel Karakuş, Ceyda; Hanoglu, Bercem D.; Winkler, David; Oksel Karakus, CeydaThe surfaces of pristine nanoparticles become rapidly coated by proteins in biological fluids, forming the so-called protein corona. The corona modifies key physicochemical characteristics of nanoparticle surfaces that modulate its biological and pharmacokinetic activity, biodistribution, and safety. In the two decades since the protein corona was identified, the importance of nanoparticles surface properties in regulating biological responses have been recognized. However, there is still a lack of clarity about the relationships between physiological conditions and corona composition over time, and how this controls biological activities/interactions. Here we review recent progress in characterizing the structure and composition of protein corona as a function of biological fluid and time. We summarize the influence of nanoparticle characteristics on protein corona composition and discuss the relevance of protein corona to the biological activity and fate of nanoparticles. The aim is to provide a critical summary of the key factors that affect protein corona formation (e.g. characteristics of nanoparticles and biological environment) and how the corona modulates biological activity, cellular uptake, biodistribution, and drug delivery. In addition to a discussion on the importance of the characterization of protein corona adsorbed on nanoparticle surfaces under conditions that mimic relevant physiological environment, we discuss the unresolved technical issues related to the characterization of nanoparticle-protein corona complexes during their journey in the body. Lastly, the paper offers a perspective on how the existing nanomaterial toxicity data obtained from in vitro studies should be reconsidered in the light of the presence of a protein corona, and how recent advances in fields, such as proteomics and machine learning can be integrated into the quantitative analysis of protein corona components.Master Thesis Optimizing the Dispersion of Ceramic Nanoparticles and Assessing the Role of Aggregation in Mediating Biological Activity(Izmir Institute of Technology, 2022) Önder, Anıl Can; Öksel Karakuş, Ceyda; Öksel Karakuş, CeydaThe aim of this study is to optimize the sample preparation protocol for dispersing powder-form ceramic nanoparticles (CeNPs) in liquid media by leveraging the power of the design of experiment approach to narrow down potential causes of aggregation and to investigate the subsequent effect of CeNP aggregation on the biological activity of SaOS-2 human osteosarcoma cells. Dispersion of the nanopowders is one of the problems in the nanotechnology field because of the tendency of the nanoparticles for aggregation. Although there are existing dispersion protocols, they offer a one-size-fits-all approach overseeing the unique physicochemical properties of the different nanomaterials. In this study, optimization of the sample preparation protocol for two CeNPs was assessed via the investigation of the most contributing parameters and their synergetic effect through measurements of Z-average and zeta potential. Evaluation of these parameters allowed the development of two different models for each nanomaterial, predicting Z-average and zeta potential for given parameter sets. Through these models, two different sample sets were selected to evaluate the effect of aggregation on the SaOS-2 cell line. Outcomes show that the concentration of nanomaterial, pH, and the presence of additive molecule are three main parameters that affect dispersion stability. It was seen that these parameters can be included in a design to develop an efficient model to predict Z-average and zeta potential for investigated nanomaterials. Moreover, cell viability tests show that there is no significant difference between untreated and nanomaterial-treated cells. The findings promise that tailor-made and reliable dispersion protocols for different nanopowders can be developed via design of experiment.Article Modelling Genotoxic Effects of Metal Oxide Nanoparticles Using Qsar Approach(2022) Öksel Karakuş, CeydaWe investigated the application of structure-activity relationship approaches to underpin structural properties that potentially control the genotoxic potential of 9 different metal oxide nanoparticles (CuO, ZnO, NiO, SiO2, TiO2, CeO2, Fe2O3, Fe3O4 and Co3O4). In particular, we compiled a pool of quantum-mechanical, experimental and periodic table-driven descriptors and explored their distinctive contribution to the measured activity (genotoxicity). We first employed a clustered heatmap and parallel coordinates plot for visual exploration of the clusters and outliers of the data and finding corresponding responsible physicochemical descriptors. We then investigated the strength (and direction) of the relationship among descriptors and between descriptors and genotoxicity using similarity metrics. By using orthogonal projections to latent structures (OPLS), we were able to quantify the relative contribution of each descriptor to the genotoxicity of metal oxide nanoparticles. Our results suggested that zeta potential, the ratio of core electrons to valence electrons, Fermi energy and electronegativity were significant predictors of genotoxicity. Such computer-assisted approaches hold considerable promise for maximizing the use of accumulated data in nanotoxicology, prioritizing nanoparticles for further testing and filling data gaps required for hazard assessment processes.Conference Object Comparative Study of the Cytotoxicity of Hydroxyapatite, Tricalcium Phosphate and Calcium Phosphate Nanomaterials on Panc-1 and Hek293 Cell Line(Elsevier, 2022) Çeşmeli, Selin; Öksel Karakuş, CeydaCalcium phosphate-based bioceramic nanoparticles have been actively used in a range of therapeutic applications. Although they are mostly considered as biocompatible materials, the circulation of nanoparticles in the bloodstream raise further questions as to what degree of cellular damage they are capable of causing once carried out to vital organs such as kidney and pancreas. Therefore, there is a clear need to explore potential cellular damage induced by commercially used bioceramic nanoparticles such as hydroxyapatite (HAp), tricalcium phosphate (TCP) and calcium phosphate (CaP).Publication Gümüş Nanopartiküllerin Morfolojisinin Protein Etkileşimleri Üzerindeki Etkisi(2024) Öksel Karakuş, Ceyda; Tomak, AyselNanoteknolojideki gelişmelere paralel olarak biyomedikal uygulamalarda kullanılan nanopartiküllerin sayısında hızlı bir artış yaşanmıştır. Gümüş nanopartiküller, farklı metalik nanopartikül grupları arasında başta antibakteriyel etkinlik olmak üzere tıbbi uygulamaların gereksinimleriyle örtüşen çeşitli avantajlara sahip olmalari dolayısıyla öne çıkmakta ve yaygın olarak kullanılmaktadır. Gümüş nanopartikülleri avantajlı kılan yapı ve yüzey özellikleri biyolojik ortam etkileşimleri sonucunda değişiklik gösterebilmekte ve bu değişimler dolayısıyla biyolojik aktivite ve foksiyonellik gibi nanopartikül özellikleri de doğrudan etkilenmektedir. Nanopartiküllerin biyolojik ortamlarda değişen yüzey özelliklerinin en büyük nedeninin yüzeylerine tutunan proteinler olduğu bilinmektedir. Ancak nanopartiküllerin morfolojik özelliklerinin etraflarında oluşan bu protein halkasının bileşimine ve miktarına olan etkisi tam olarak aydınlatılmamıştır. Bu çalışmada, partikül morfolojisinin nanopartikül-protein etkileşimleri üzerine etkisi incelenmiştir. Bu amaçla küresel ve prizma-benzeri yapıya sahip gümüş nanopartikülleri detaylı olarak karakterize edilmiş ve yüzeylerine tutunan proteinler sodyum dodesil sülfat–poliakrilamid jel elektroforezi (SDS–PAGE) yöntemiyle analitik olarak tayin edilmiştir. Spesifik olarak, küresel ve prizmatik morfolojiye sahip gümüş nanopartikülleri protein eklentili hücre kültürü ortamı içerisinde farklı süre (15 dk, 2 sa ve 24 sa) ve sıcaklıklarda (22 oC ve 37 oC) inkübe edilmiş ve yüzeylerine tutunan proteinler tür ve miktar açısından karşılaştırılmıştır.Article Storage Protein Allergen Sensitization Patterns in Children: Insights from Multiplex Microarray Profiling and Hierarchical Clustering(Wiley, 2025) Caka, Canan; Ozcivici, Engin; Karakus, Ceyda Oksel; Sekerel, Bulent EnisBackground Storage proteins (SPs), including 2S albumins, vicilins, and legumins, are key allergenic molecules (AMs) of peanuts, tree nuts (TNs), and sesame. Their structural stability contributes to allergenicity and sensitization. This study explored SP AM clustering patterns and evaluated the test performance of multiplex microarray (MM) testing in a pediatric cohort. Methods We retrospectively analyzed 350 children (median age: 3.7 years) with detectable SP sensitizations (>= 0.1 kU(A)/L) using the ALEX(2) MM platform. Sensitization interrelationships were analyzed using correlation heatmaps, hierarchical clustering (HC), dimensionality reduction, and feature elimination. Predictive utility was assessed through ROC curve analysis at different sensitization cut-offs (>0.1 and >0.3 kU(A)/L) and total IgE thresholds (>0, >20, and >50 kU/L). Results HC identified a broad SP cluster spanning peanuts, TNs, sesame, poppy seed, and buckwheat. Strong correlations and early HC linkages suggested extensive cross-sensitization (e.g., Ana o 3-Pis v 1 and Jug r 4-Cor a 9), alongside evidence of co-sensitization and molecular spreading. Unexpected clustering of structurally dissimilar peanut and pistachio AMs pointed to shared epitopes and/or cross-contamination. 2S albumins (Ara h 2, Cor a 14, Jug r 1, Ana o 3, and Ses i 1) were most predictive for clinical reactivity. Lower cut-offs and exclusion of patients with low total IgE improved test performance. Alpha-hairpinin (Pap s 2S albumin) showed potential as specific markers. Conclusions MM testing enables detailed SP sensitization profiling. Cluster-based interpretation may clarify cross- vs. co-sensitization, supporting informed clinical decisions. Use of recombinant AMs and IgE stratification may further enhance MM utility in food allergy diagnostics.Article Citation - WoS: 17Citation - Scopus: 18Four Subtypes of Childhood Allergic Rhinitis Identified by Latent Class Analysis(Wiley, 2021) Yavuz, Süleyman Tolga; Öksel Karakuş, Ceyda; Custovic, Adnan; Kalaycı, ÖmerBackground Childhood allergic rhinitis (AR) is clinically heterogenous. We aimed to identify distinct phenotypes among children with AR using data-driven techniques and to ascertain their association with patterns of symptoms, allergic sensitization, and comorbidities. Methods We recruited 510 children with physician-diagnosed AR, of whom 205 (40%) had asthma. Latent class analysis (LCA) was performed to identify latent structure within the data set using 17 variables (allergic conjunctivitis, eczema, asthma, family history of asthma, family history of allergic rhinitis, skin sensitization to 8 common allergens, tonsillectomy, adenoidectomy). Results A four-class solution was selected as the optimal model based on statistical fit. We labeled latent classes as: (1) AR with grass mono-sensitization and conjunctivitis (n = 361, 70.8%); (2) AR with house dust mite sensitization and asthma (n = 75, 14.7%); (3) AR with pet and grass polysensitization and conjunctivitis (n = 35, 6.9%); and (4) AR among children with tonsils and adenoids removed (n = 39, 7.6%). Perennial AR was significantly more common among children in Class 2 (OR 5.83, 95% CI 3.42-9.94, p < .001) and Class 3 (OR 2.88, 95% CI 1.36-6.13, p = .006). Mild and intermittent AR symptoms were significantly more common in children in Class 2 compared to those in Class 1. AR was more severe in Class 1 compared to other 3 classes, indicating that upper respiratory symptoms are more severe among children with isolated seasonal rhinitis, than in those with rhinitis and coexisting asthma. Conclusion We have identified 4 phenotypes in school-age children with AR, which were associated with different patterns of clinical symptoms and comorbidities.Article Citation - Scopus: 1Investigating Early-Stage Mineralization Behavior and Bioactivity of Acid-Free Bioactive Glass 45s5 With Enhanced Dissolution Kinetics(Springer, 2025) Tuncer, Melisa; Yucesoy, Deniz T.; Karakus, Ceyda OkselNanostructured bioactive glass (BG) was synthesized through an acid-free sol-gel route (bioglass-AF) and the conventional acid-catalyst sol-gel process (bioglass-AC). The aim here is to eliminate the risk of residual acidic components in the BG while enhancing its functionality through nano-scale propduction. Scanning electron microscopy revealed the presence of highly porous structures and dense agglomerates composed of particles with a mean diameter of 45 nm in both samples. Bioglass-AC and bioglass-AF had specific surface areas of 1.48 m(2)/g and 2.73 m(2)/g, respectively, with an average pore size of similar to 5 nm. Faster mineralization kinetics were evident in bioglass-AF, compared to bioglass-AC, in Hepes-buffered salt solution. Following 14 days of immersion in artificial saliva, bioglass-AC and bioglass-AF lost 16% and 20% of their initial weight, respectively, confirming their bioactivity. None of the synthesized BGs stimulated cell growth up to 24 h but longer exposure to moderate concentrations (1.25 and 2.5 mg/mL) of bioglass-AF significantly enhanced cell viability, reaching 170% at 48 h. Overall, the comparative in vitro investigations proved that nano-structured 45S5 bioglass powders with improved mineralization and dissolution kinetics can be produced with an acid-free route, eliminating the risk of residual acidic components in the final product.Article Citation - WoS: 37Citation - Scopus: 40Biomedical Nanomaterials: Applications, Toxicological Concerns, and Regulatory Needs(Informa Healthcare, 2020) Öksel Karakuş, Ceyda; Bilgi, Eyüp; Winkler, DavidAdvances in cutting-edge technologies such as nano- and biotechnology have created an opportunity for re-engineering existing materials and generating new nano-scale products that can function beyond the limits of conventional ones. While the step change in the properties and functionalities of these new materials opens up new possibilities for a broad range of applications, it also calls for structural modifications to existing safety assessment processes that are primarily focused on bulk material properties. Decades after the need to modify existing risk management practices to include nano-specific behaviors and exposure pathways was recognized, relevant policies for evaluating, and controlling health risks of nano-enabled materials is still lacking. This review provides an overview of current progress in the field of nanobiotechnology rather than intentions and aspirations, summarizes long-recognized but still unresolved issues surrounding materials safety at the nanoscale, and discusses key barriers preventing generation and integration of reliable data in bio/nano-safety domain. Particular attention is given to nanostructured materials that are commonly used in biomedical applications. © 2020 Informa UK Limited, trading as Taylor & Francis Group.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.
- «
- 1 (current)
- 2
- 3
- »