İstanbul Sağlık ve Teknoloji Üniversitesi Kurumsal Akademik Arşivi
DSpace@İSTÜN, Üniversite mensupları tarafından doğrudan ve dolaylı olarak yayınlanan; kitap, makale, tez, bildiri, rapor, araştırma verisi gibi tüm akademik kaynakları uluslararası standartlarda dijital ortamda depolar, Üniversitenin akademik performansını izlemeye aracılık eder, kaynakları uzun süreli saklar ve telif haklarına uygun olarak Açık Erişime sunar.
Güncel Gönderiler
The effects of anthocyanin consumption on functional connectivity in dementia and type 2 diabetes mellitus
(Elsevier, 2026) Müdüroğlu Kırmızıbekmez, Aynur; Önder, Alparslan; Özdemir, Mustafa Yasir; Yüksel Eryiğit, Önder; Kara, İhsan
This study investigates the effects of 12 weeks of anthocyanin consumption on brain function in individuals with Dementia with Type 2 Diabetes Mellitus (T2DM) and Dementia alone. Two groups of individuals: 12 participants with T2DM comorbid with dementia and 31 participants with dementia alone. EEG recordings were collected at baseline, before the start of the study, and after 12 weeks of anthocyanin consumption. During the study period, participants consumed 300 mg of anthocyanins daily. EEG recordings were conducted using a 21-channel gel EEG cap following the 10–20 system at a sampling rate of 500 Hz. EEG signals were divided into seven frequency bands, and the Imaginary Part of Coherence (iCOH) metric, which reduces volume conduction effects, was used to evaluate functional connectivity. Within-group analyses were performed using the Wilcoxon signed-rank test, and between-group comparisons were conducted using the Mann-Whitney U test, both implemented in Python. This study demonstrates that 12 weeks of anthocyanin supplementation positively impacts neural network ef ficiency and functional connectivity in both the Cognitive Impairment (CI) group and the Type 2 Diabetes Mellitus with Cognitive Impairments (T2DMwCI) group. Significant improvements were observed in iCOH, GE, and LE metrics across delta, theta, beta, and gamma frequency bands, indicating enhanced information pro cessing and potential compensatory mechanisms. These findings highlight the neuroprotective properties of anthocyanins, suggesting their potential to mitigate cognitive decline associated with T2DM and dementia. As a result, it supports the idea that anthocyanins are a potential dietary intervention for mitigating cognitive decline, though further research is needed to validate and expand these results.
Green MIP-based electrochemical sensing platform for environmental ivermectin analysis
(American Chemical Society, 2026) Aydemir, Zeynep; Kaya, Beril Sena; Dorreh, Setareh; Al Faysal, Abdullah; Erdoğan, Taner; Gölcü, Ayşegül
Ivermectin (IVM), a macrocyclic lactone derived from Streptomyces avermitilis, is widely recognized as a “wonder drug” for its broad-spectrum efficacy against internal and external parasites in human and veterinary medicine. Owing to its potent pharmacological activity, precise quantification of IVM is essential for therapeutic monitoring and dose optimization. In this study, we report the design of a novel electrochemical sensor based on molecularly imprinted polymer (MIP) technology, specifically tailored for the selective detection of IVM. The sensor was fabricated via an electropolymerization strategy employing methacrylic acid (MAA) as the functional monomer and aniline as the comonomer in phosphate-buffered saline (PBS, pH 7.0). To the best of our knowledge, this represents the first electropolymerization-based MIP sensor developed for IVM determination. The resulting MAA-IVM@MIP/GCE sensor was thoroughly characterized using cyclic voltammetry (CV), electrochemical impedance spectroscopy (EIS), Fourier-transform infrared spectroscopy (FTIR), and scanning electron microscopy (SEM). Electrochemical detection was achieved through an indirect redox probe approach with 5.0 mM [Fe(CN)6] 3−/4−, providing a wide linear range (1 × 10−12 −1 × 10−11 M) and remarkably low limits of detection (LOD: 2.91 × 10−13 M) and quantification (LOQ: 9.71 × 10−13 M). The sensor demonstrated high sensitivity, reproducibility, and selectivity, clearly distinguishing IVM from structurally related compounds. It maintained strong analytical performance in pharmaceutical formulations, biological matrices, and environmental samples such as tap water and soil, showing minimal matrix interference. These results confirm the platform’s robustness and applicability. Density functional theory (DFT) calculations were performed to evaluate template−monomer interactions and determine the optimal template:monomer ratio for the MIP-based sensor. The results revealed that the 1:1 complex exhibited the most favorable binding characteristics, consistent with the experimental findings. In addition, the sensor fabrication strategy was designed in accordance with green analytical chemistry principles. The electropolymerization process was performed in aqueous phosphate-buffered saline under mild conditions without the use of excessive cross-linkers or hazardous reagents. The approach minimizes organic solvent consumption, reduces energy requirements, and enables sensor reusability, thereby contributing to a sustainable and environmentally responsible analytical platform. Overall, this cost-effective, scalable, and environmentally conscious electrochemical sensor provides a practical tool for reliable IVM monitoring and has strong potential for clinical diagnostics, pharmacokinetics, and pharmaceutical quality control.
A multisociety consensus statement on a new common definition and diagnostic criteria for PSVD or NCPF
(AASLD, 2026) Hernandez Gea, Virginia; Paradis, Valerie; Guindi, Maha; Alves, Venancio A.F.; Aqul, Amal; Cerda, Eira; Darwish Murad, Sarwa; Das, Prasenjit; Örmeci, Necati; Rautou, Pierre Emmanuel
Noncirrhotic portal hypertension has historically been described using heterogeneous and region-specific terminology—such as idiopathic portal hypertension (IPH), noncirrhotic portal fibrosis (NCPF), obliterative portal venopathy, and nodular regenerative hyperplasia—leading to substantial variability in diagnosis, reporting, and international research collaboration. Differences in guideline definitions from major societies (AASLD, EASL, and APASL), together with the presence of characteristic histologic lesions in patients without clinically overt portal hypertension, have further complicated disease classification. To address these challenges, a large, multisociety, international initiative was convened to harmonize nomenclature and diagnostic criteria. Representatives from liver, pathology, and pediatric hepatology societies across the Americas, Europe, and Asia participated in a structured consensus process that included specialized working groups and external Delphi validation. The initiative produced a globally harmonized and implementable diagnostic framework. Consensus was reached that the terms porto-sinusoidal vascular disorder (PSVD) and NCPF may be used interchangeably when identical diagnostic criteria are applied, and that they should be written as PSVD or NCPF. The diagnosis was defined as fundamentally clinicopathological, requiring integrated assessment. Core principles include the need for a high-quality liver biopsy ( ≥ 10 mm), mandatory exclusion of cirrhosis, and systematic exclusion of specific alternative conditions. Importantly, the consensus recognizes that PSVD or NCPF may be diagnosed even without clinical portal hypertension and may coexist with other liver diseases, provided cirrhosis is excluded. Standard ized major and minor histologic criteria were developed collaboratively by expert pathologists and externally validated. Features of portal hypertension were harmonized into specific and nonspecific categories applicable to routine clinical practice. An integrated diagnostic scoring system incorpo rating histology, clinical features, associated conditions, and concommitant etiologies was developed and validated using the Delphi method. This consensus provides the first internationally endorsed, unified framework for the diagnosis of PSVD or NCPF. Its global implementation is expected to reduce diagnostic variability, improve comparability across regions, and facilitate the development of robust, internationally harmonized clinical and translational research cohorts.
Cognitive alignment and assessment validity in a high-stakes dental specialty examination: A Bloom’s taxonomy-based analysis
(BioMed Central, 2026) Çerçi Akçay, Hülya; Üstün, Nilüfer
Background: In high-stakes postgraduate examinations, the cognitive complexity of assessment items is central to evaluating advanced clinical reasoning and decision-making competencies. Alignment between examination content, cognitive demand, and competency based educational frameworks is essential for assessment validity. This study evaluated the cognitive structure of pediatric dentistry questions in the Turkish Dental Specialty Examination (DUS) using Bloom’s revised taxonomy and examined their alignment with curricular expectations. Methods: A retrospective cross-sectional analysis was conducted on 127 officially released pediatric dentistry questions administered between 2012 and 2021. Each item was independently classified according to Bloom’s revised cognitive levels. Curriculum relevance and scientific accuracy were rated using a 5-point Likert scale. Inter rater reliability was assessed using weighted Cohen’s kappa. Associations between cognitive level and curriculum relevance were analyzed, and temporal trends across examination years were explored. Results: Questions were predominantly concentrated at the Understand and Apply levels, with fewer items categorized at the Analyze level. No questions were classified at the Evaluate or Create levels. Although lower- and higher-order cognitive skills appeared proportionally balanced when dichotomized, higher-order items largely reflected procedural application rather than advanced analytical or evaluative reasoning. No significant temporal progression toward greater cognitive complexity was observed. Curriculum relevance ratings were high overall but showed no significant association with cognitive level. Conclusions: This high-stakes specialty examination predominantly assesses lower- and intermediate-level cognitive processes, with limited representation of advanced higher-order thinking. The findings indicate potential blueprint misalignment with postgraduate competency expectations and underscore the need for deliberate integration of higher cognitive-level items to strengthen assessment validity.
Artificial intelligence applications across the spectrum of malnutrition: From undernutrition to obesity
(Elsevier, 2026) Günalan, Elif; Tartıcı, Gülser; Aladağ, Esra; Çonak, Özge
Background: Malnutrition is a significant global public health challenge, with rising prevalence and vital consequences. Recent advances in artificial intelligence (AI) have transformed approaches to understanding, monitoring, and managing these conditions. In this context, a multidimensional approach, integrating digital anthropometry and precision nutrition with image processing and AI-based mobile applications, has progressed in the field. Objectives: This study provides a comprehensive bibliometric and critical analysis of AI applications in malnutrition, including undernutrition and obesity. Methods: Using RStudio software (version 4.1.3) and the bibliometrix R package, 716 publications were identified in the Scopus database, of which 191 original research articles were analyzed. This context focuses on subfields such as digital anthropometry, precision nutrition, image processing technologies, and AI-supported mobile applications. Results: The findings highlight AI as a rapidly growing and interdisciplinary field of research. Engineering journals frequently publish cutting-edge studies, with the United States, China, Spain, and Korea leading in productivity and citations. Although diet, nutrition, and diabetes themes dominate the literature, undernutrition and obesity remain underrepresented. Conclusions: This study emphasizes the importance of transitioning the current fragmented research landscape into a standardized and ethically governed framework for the sustainable development of AI in nutrition. By bridging identified thematic imbalances and prioritizing scalable digital tools, AI can be repositioned as a strategic pillar of public health, rather than just a clinical instrument. Such a shift is essential for effectively addressing the global double burden of malnutrition and ensuring long-term, sustainable progress in the field.
