WoS İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.14627/6
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Article Comprehensive Proteomic and Metabolomic Analysis of Novel Substituted Fluoroquinolone Derivatives in Escherichia Coli Isolates(John Wiley and Sons Ltd, 2026) Nigiz Ş.; Kulabaş N.; Türe A.; Kablan S.; Koçak E.; Özkul C.; Küçükgüzel İ.; Koçak, Engin; Nigiz, Şeyma; Kablan, Sevilay Erdoğan; Özkul, Ceren; Kulabaş, Necla; Küçükgüzel, İlkay; Türe, AslıAntimicrobial resistance is one of the most important global problems, and new antibiotic requirements have been emerging as a key point in this issue. In the present work, we focused on the efficiency of two novel promising fluoroquinolone derivatives on resistant Escherichia coli isolates at the molecular level. Their mode of action and adaptation process were evaluated by using proteomics and metabolomics analysis. Proteomics analysis showed that two compounds have an effect mainly on the ribosomal process and energy metabolism. Moreover, we observed compounds that affect various important antimicrobial targets, such as ribosomal subunits, phosphotransacetylase, and chaperone proteins. In metabolomics analysis, we found that compounds altered bacterial metabolism directly. Pathway analysis showed that cofactor biosynthesis and energy metabolism were affected mainly by undertreated groups. Our experiments demonstrated that novel fluoroquinolone derivatives have promising results at the molecular level and results will contribute to further studies. © 2026 John Wiley & Sons Ltd.Article Fully Synthetic, Nature-Inspired Exosome-Mimetics for Melanoma Therapy(Elsevier B.V., 2026) Arda Ozturk N.Z.; Majchrzak O.B.; Ulivi G.; Kirmizibayrak P.B.; Borchard G.; Patrulea V.; Ozer O.; Ozturk, Nahide Zeren Arda; Borchard, Gerrit; Ozer, Ozgen; Patrulea, Viorica; Majchrzak, Oliwia Barbara; Arda Ozturk, Nahide Zeren; Kirmizibayrak, Petek Ballar; Ulivi, GianlucaFully synthetic exosome-mimetics (FSEMs) represent a nature-inspired drug delivery system designed to replicate the key physicochemical and biological properties of natural exosomes, while offering the potential to address limitations in scalability and reproducibility associated with natural exosomes. In this study, we prepared FSEMs at the laboratory scale. We loaded them with (–)-epigallocatechin-3-gallate (EGCG) and microRNA-23a (miR-23a), aiming to co-deliver therapeutic small molecules and nucleic acids for the treatment of melanoma. FSEMs were fabricated using three methods: thin-film hydration, ethanol injection, and microfluidics. They were surface-functionalized with either CD9, a tetraspanin involved in membrane fusion, or TSP-1, an adhesion protein promoting cellular interactions. Through physicochemical characterization via dynamic light scattering, we found that FSEMs were ∼ 100 nm in size, of low polydispersity (∼0.2) and showed a negative zeta potential (∼–55 mV). Both EGCG and miR-23a were efficiently encapsulated. SDS-PAGE analysis confirmed successful protein incorporation and correct positioning. In vitro release studies showed minimal premature leakage, supporting their suitability for cellular uptake-mediated delivery. When tested on melanoma cells (MDA-MB-435) and progenitor human dermal fibroblasts (FE002-SK2), FSEMs selectively killed melanoma cells while sparing fibroblasts. Importantly, EGCG within FSEMs was more effective than the free compound. Compared to conventional DOTAP-based liposomes, FSEMs were more selective and induced less off-target cytotoxicity. This study presents a proof-of-concept for fully synthetic, protein-functionalized FSEMs as dual carriers for both chemical and gene-based agents, offering a safer and potentially more effective alternative to traditional cationic liposomes. These results lay the groundwork for future in vivo validation and translational cancer research. © 2026 The Author(s)Article Social Media and Financial Decisions: The Influence of Socio-Demographics and Financial Literacy(John Wiley and Sons Inc, 2026) Altinbas, H.This study investigates the predictors of individuals' reliance on social media for financial decision-making within the context of Türkiye's high-inflation environment and the associated surge in retail investor participation. Data were collected via an online survey utilizing the OECD's financial literacy toolkit. The results indicate that gender, family structure, high-risk asset preferences, and financial literacy predict social media usage for financial information. Specifically, males, individuals who invest in stocks or cryptocurrencies, and those with higher financial literacy demonstrate a greater propensity to access financial information on social media; conversely, households with children exhibit lower reliance on social media information. © 2026 American Association of Family and Consumer Sciences.Article Investigation of the Susceptibility Rates to Ceftazidime-Avibactam and Colistin, Clonal Relationships, and Clinical Data of Patients with Carbapenem-Resistant Klebsiella Pneumoniae Isolates Detected in the ICUs of a Hospital in İstanbul(K Faisal Special Hospital Research Centre, 2026) Akkaya, Yuksel; Aydin, Irfan; Harmankaya, Sebile; Karakul, Mehmet; Aydin, Mehtap; Erdin, Begum Nalca; Kilic, Ibrahim Halil; Karakuş, MehmetBACKGROUND: The increase in carbapenem-resistant K. pneumoniae (CR-Kp) in intensive care units (ICUs) causes treatment difficulties and increases risk in mortality. OBJECTIVES: The aim of this study was to investigate the susceptibility rates of CR-Kp isolates obtained from ICUs to ceftazidime-avibactam (CAZ-AVI) and colistin, carbapenem resistance genes, clonal relationships and clinical characteristics of the patients. DESIGN: Retrospective cohort SETTING: Single-center, University of Health Sciences, & Uuml;mraniye Training and Research Hospital MATERIALS AND METHODS: This study was conducted between June 2023 and December 2024. Isolates were identified using VITEK MS v.3.2, and antibiotic susceptibility testing was performed using the VITEK 2 Compact system. CAZ-AVI susceptibility was determined using disk diffusion, and colistin susceptibility was determined using broth microdilution to determine minimum inhibitory concentration (MIC) values. Carbapenem resistance genes were determined using multiplex real-time polymerase chain reaction (RT-PCR) and clonal relationship arbitrarily primed-polymerase chain reaction (AP-PCR). MAIN OUTCOME MEASURES: Resistance genes of CR-Kp isolates, clonal relationships, CAZ-AVI and colistin resistance, and clinical characteristics of patients SAMPLE SIZE: Ninety-seven isolates from 76 patients RESULTS: Among patients with CR-Kp isolates, central venous catheter use was detected in 59 cases (78%), ventilator-associated pneumonia in 44 cases (58%), and bacteremia in 39 cases (51%), respectively. It was determined that 53 of the patients (70%) died. Using the AP-PCR method, 60 different genotypes were identified among 97 isolates, and clustering was determined in 42 of the isolates (46%). It was determined that 36 (37%) of the isolates were resistant to colistin and 42 (45%) were resistant to CAZ-AVI. NDM+OXA-48, OXA-48, KPC, KPC+NDM, and NDM genes were detected in 40 (43%), 32 (35%), 10 (11%), 2 (2%), and 3 (3%) isolates, respectively. It was determined that 30 (75%) of the isolates with NDM+OXA-48 and only 4 (12%) of the isolates with OXA-48 were resistant to CAZ-AVI. CONCLUSION: In addition to OXA-48, an increase in the frequency of CR-Kp isolates containing the NDM, NDM+OXA-48, KPC+NDM, and OXA-48+KPC genes were also detected. It was also determined that resistance to colistin and CAZ-AVI is increasing. The AP-PCR method can also be used to investigate infections. LIMITATIONS: Single center,Pulsed Field Gel Electrophoresis (PFGE) could not be performed together with AP-PCRArticle New Diclofenac Hydrazones: Design, Synthesis, in Silico Studies and Anticancer Evaluation Against Breast Cancer(Elsevier, 2026) Birgul, Kaan; Oktay, Lalehan; Bekci, Hatice; Cikla-Suzgun, Pelin; Durdagi, Serdar; Kucukguzel, S. GunizBreast cancer remains one of the most prevalent and lethal malignancies among women, highlighting the urgent need for novel therapeutic strategies that can overcome resistance mechanisms. The p38 alpha mitogen-activated protein kinase (MAPK14) plays a key role in inflammation-associated oncogenic signaling, making it an attractive molecular target for drug development. In this study, a novel series of diclofenac-based hydrazone derivatives (4a-4o) were designed, synthesized, and characterized using FT-IR, 1H- and 13C-NMR spectroscopy, thin-layer chromatography, and elemental analysis. Computational target profiling using SwissTargetPrediction identified MAPK14 as the primary predicted target. Molecular docking against the MAPK14 crystal structure (PDB ID: 1WBS) revealed high binding affinities (-11.41 to -8.34 kcal/mol), supported by MM/GBSA free energy calculations and molecular dynamics simulations, which confirmed stable ligand-protein interactions through hydrogen bonding with Asp168 and Glu71. In vitro cytotoxicity assays on MCF-7 (luminal A) and MDA-MB-231 (triple-negative) breast cancer cell lines demonstrated low-micromolar IC50 values, with compounds 4c, 4d, and 4e showing the strongest activity (2.1-4.5 mu M), surpassing the reference drug Tamoxifen. Overall, the results indicate that diclofenac hydrazones represent promising candidates anticancer properties through MAPK14 inhibition, providing a foundation for the development of next-generation therapeutics against breast cancer.Article The Current Face of Mosaic Art: Flacking Istanbul Examples(Bursa Uludag University, 2025) Ural, A.G.French artist Ememem is an anonymous artist who started producing his artworks in the city of Lyon in 2016. The unknown street artist brought a contemporary perspective to the art of mosaic by decorating or patching the sidewalks with mosaic art. The term ‘flacking’, which he developed to express the combination of various fields such as upcycling, street art, mosaic art, is becoming increasingly common and attracting the attention of local municipalities. The aim of this study is to discuss the art of flacking, which is a face of mosaic art, which is a very old branch of art, derived from current terms. In terms of scope, examples from Istanbul will be tried to be found and compared with foreign examples. French artist Ememem is an anonymous artist who started producing his artworks in the city of Lyon in 2016. The unknown street artist brought a contemporary perspective to the art of mosaic by decorating or patching the sidewalks with mosaic art. The term ‘flacking’, which he developed to express the combination of various fields such as upcycling, street art, mosaic art, is becoming increasingly common and attracting the attention of local municipalities. The aim of this study is to discuss the art of flacking, which is a face of mosaic art, which is a very old branch of art, derived from current terms. Examples from around the world show how mosaic art can be transformed into impressive and meaningful projects in public spaces. However, it has been seen that modern mosaic trials are still insufficient in our country. It has been determined that for the development of mosaic art, various courses, workshops, contemporary examples to be applied in public spaces and initiatives should be made in order not to lose this valuable art. © (2025), All Rights Reserved.Article Machine Learning Model for Predicting Multidrug Resistance in Clinical Escherichia Coli Isolates: A Retrospective General Surgery Study(Multidisciplinary Digital Publishing Institute (MDPI), 2025) Tolan, H.K.; Aydın, İ.; Tanyildizi-Kökkülünk, H.; Karakuş, M.; Akkaya, Y.; Kaya, O.; Işman, F.K.Background/Objectives: Escherichia coli is one of the leading causes of surgical site infections (SSIs) and poses a growing public health concern due to its increasing antimicrobial resistance. High rates of extended-spectrum beta-lactamase (ESBL) production among E. coli strains complicate treatment outcomes and emphasize the need for effective surveillance and control strategies. Methods: A total of 691 E. coli isolates from general surgery clinics (2020–2025) were identified using MALDI-TOF MS. Antibiotic susceptibility data and patient variables were cleaned, encoded, and used to predict resistance using the Random Forest, CatBoost, and Naive Bayes algorithms. SMOTE addressed class imbalance, and model performance was assessed through various validation methods. Results: Among the three machine learning models tested, Random Forest (RF) showed the best performance in predicting antibiotic resistance of E. coli, achieving median accuracy, precision, recall, and F1-scores of 0.90 and AUC values up to 0.99 for key antibiotics. CatBoost performed similarly but was less stable with imbalanced data, while Naive Bayes showed lower accuracy. Feature importance analysis highlighted strong inter-antibiotic resistance links, especially among β-lactams, and some influence of demographic factors. Conclusions: This study highlights the potential of simple, high-performing models using structured clinical data to predict antimicrobial resistance, especially in resource-limited clinical settings. By incorporating machine learning into antimicrobial resistance (AMR) surveillance systems, our goal is to support the advancement of rapid diagnostics and targeted antimicrobial stewardship approaches, which are essential in addressing the growing challenge of multidrug resistance. © 2025 by the authors.Conference Object Sts: AI-Driven Smart Test Scenario Generation Tool(IEEE, 2025) Baglum, Cem; Yayan, UgurOne of the most critical steps in the software testing lifecycle, test scenario generation, reduces process efficiency due to its high time and resource requirements. As an innovative solution to this issue, the Smart Test Scenario Tool (STS) has been developed. Smart Test Scenario Tool (STS) enhances contextual accuracy and automation in test scenario generation by analyzing documents in xlsx, py, cpp, txt, and docx formats using large language models. This approach minimizes time loss, and the risk of errors encountered in traditional manual testing processes while transforming test procedures into a context-driven and systematic framework, offering an innovative contribution to the literature. Strengthened with a Streamlit interface, MongoDB-supported database management, and Ollama integration, the system enables the test scenario generation process, a critical component of the software testing cycle, to be conducted more efficiently and reliably. The validity of the study was confirmed through two distinct projects, the first implemented in Python and the second in C++.Article From Global Evidence to Local Action Plan: A Novel Building Decarbonization Maturity Scale and Roadmap for nZEB Office Buildings in Developing Contexts − Case of Türkiye(Elsevier Ltd, 2025) Karanfil, B.Y.; Kayaçetin, N.C.; Tereci, A.; Bıyıklı, N.; Kılınç Gilisıralıoğlu, M.; Karaer, D.; Gilisiralioglu, Merve KilincTo effectively combat climate change, various policies and strategies are being developed to reduce emissions by 2050. The construction sector assumes a pivotal role in achieving decarbonization targets. It is imperative to acknowledge the potential of practices in developing countries, which can provide the critical part of carbon reduction on a global scale. In this context, Nearly Zero Energy Buildings (nZEB) are attracting global attention as a key component of sustainable construction and urban regeneration. Despite high level of energy efficiency and potential to utilize renewable energy, nZEBs have not found widespread application in developing countries. This study benefits from a systematic review of the whole-life decarbonization process of nZEB office buildings. The study evaluated policy frameworks, implementation, and potential emission reduction strategies through energy efficiency measures, material selection, and the integration of renewable energy. In response, the study proposes a structured, context-sensitive decarbonization maturity scale and roadmap to guide policy and practice in developing countries and utilized Türkiye as a case study example. The findings reveal that Türkiye’s current nZEB definition positions it at Level 2 (Emerging) on the decarbonization maturity scale. The country’s high carbon intensity signals the urgency of prioritizing demand reduction and efficiency. Despite enhancements, nZEB offices in Türkiye exhibit high carbon emissions, with operational emissions ranging from 7.5 to 35 kgCO<inf>2</inf>-eq/m2/year and embodied carbon from 182 to 201 kgCO<inf>2</inf>-eq/m2. As a result, the maturity scale identifies leverage points offering a mechanism to benchmark progress and accelerate climate action in line with international examples approaching Level 5. © 2025 Elsevier B.V., All rights reserved.Conference Object A Unique Web 3 Product-NFT Usage in Healthcare(IEEE, 2025) Unozkan, HuseyinNon-fungible tokens (NFTs) have gained immense popularity and value in recent years. After the Web 3 revolution, many new products have been constructed based on smart contracts or powerful software agreements. One of the most exciting products of Web 3 is NFT, with their increasing popularity, high volatility, and significant price movements making them popular in trading activities. Although many people, investors and researchers perceive NFTs as a trading product, the smart contract and metadata, both of which make up of NFT structure, offer valuable support for the big data storage and processing fields. In recent years, researchers have proposed different uses of NFTs in healthcare systems to improve the quality of services by using NFTs' versatile data storage architecture. In this study, the capability of NFTs in the storage of health data is investigated, the usage and usage proposals of NFTs in health are examined, and probable usage areas in health sciences are evaluated. The uniqueness of this study is, using NFTs as the dead parental data storage in which the metadata does not need to be mitigated, but the stored data is very valuable for doctors to assess the genetic illnesses comes from parental DNAs.