İstanbul Sağlık ve Teknoloji Üniversitesi Kurumsal Akademik Arşivi
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Güncel Gönderiler
Gender differences in the distribution of IDL, LDL, and HDL lipoprotein subfractions in MODY compared to type 2 diabetes: Data from the MODY-Ist study
(Elsevier, 2025) Yılmaz Aydoğan, Hülya; Kanca Demirci, Deniz; Gül, Nurdan; Yanar, Fatih; Poyrazoğlu, Şükran; Güleç Yılmaz, Seda; Tüzüner, Mete Bora; İsbir, Turgay; Öztürk, Oğuz; Satman, İlhan
Background: The distribution of intermediate-density lipoprotein (IDL), low-density lipoprotein (LDL) and high density lipoprotein (HDL) subfractions specific to diabetes types and changes under dyslipidemia conditions have been well characterised. Research into the distribution of lipoprotein subfractions in Maturity-Onset Diabetes of the Young (MODY) has hitherto been confined to certain subtypes, with gender-based differences remaining to be elucidated. The objective of this study was to comparatively evaluate the distribution of lipoprotein subfractions according to gender in MODY, T2DM patients, and control groups. Methods: Lipoprotein subfractions in 119 serum samples of the study groups were analyzed using the Lipoprint System. Results: The midbands of IDL (MID-A to C) in female MODY cases, and the HDL-small fraction in male MODY cases, were found to be lower compared to female and male T2DM cases, respectively. In the T2DM group, age was positively correlated with MID-C and MID-B in both genders, while it was negatively correlated with MID-A in female cases. ROC analysis demonstrated that the decrease in the MID-C fraction in female MODY subjects (AUC:0.809, p = 0.0001) and the decrease in the HDL-small fraction in male MODY subjects (AUC:0.818, p = 0.002) were significantly associated with the likelihood of MODY. Conclusion: Given that a considerable proportion of MODY patients are frequently misdiagnosed as T2DM, low levels of MID-C and HDL-small fractions, both of which are triglyceride-rich, may have potential as a diagnostic value for female and male MODY patients, respectively.
Cytolytic vaginosis in women with vaginitis: Prevalence, diagnosis, and treatment
(Karger, 2025) Kömeç, Selda; Tercan, Can; Ceylan, Ayşe Nur; Durmuş, Mehmet Akif; Donbaloğlu, Gizem Şirin; Aydın, Mustafa Derya
Objectives: Vaginitis is an inflammatory condition of the vagina, which often manifests with symptoms like discharge, foul odor, and pruritus. The most commonly recognized forms are candidiasis, bacterial vaginosis (BV), and trichomoniasis, but conditions like cytolytic vaginosis (CV) remain under-recognized and frequently misdiagnosed in clinical practice despite its notable prevalence. This study aims to evaluate the prevalence of CV in patients with vaginitis, assess the specificity of the diagnostic criteria for CV, and investigate the efficacy of CV treatments. Design: This study is a prospective diagnostic study. Participants/Materials, Setting: A total of 81 patients (aged 20–55 years) with symptoms of vaginitis, and 30 control participants without these symptoms were enrolled. Methods: Vaginal samples were analyzed for Trichomonas vaginalis, vulvovaginal candidiasis (VVC), and BV and CV. Vaginal samples were evaluated using Gram staining, pH measurement, and microbiological culture to identify causative agents. CV was diagnosed based on the low vaginal pH, presence of abundant lactobacilli, cytolysis of the vaginal epithelium, false clue cells, and naked nuclei in Gram staining. Results: The study found that CV was the most prevalent diagnosis, accounting for 32.1% of cases. This was followed by BV (22.2%) and VVC (14.8%). The most common symptoms among CV patients were vaginal discharge, pruritus, and dysuria. Vaginal discharge characteristics did not significantly distinguish CV from other forms of vaginitis. A recurrence rate of 61.5% was observed in CV patients, highlighting the recurrent nature of the condition. Sodium bicarbonate sitz baths effectively relieved symptoms in many patients (58.8%). Limitations: The number of patients receiving treatment is low, and the treatment follow-ups could have been conducted over a longer period, considering the menstrual cycle. Conclusions: The study highlights the diagnostic challenge of CV, where common symptoms overlap with other forms of vaginitis, leading to potential treatment failures. CV treatment, including NaHCO3 sitz baths, showed moderate efficacy, but further research is needed to establish more effective therapeutic strategies. Our findings underscore the importance of considering CV in the differential diagnosis of vaginitis as it remains an overlooked condition that significantly contributes to recurrent vaginitis. Further studies with larger sample sizes and better treatment protocols are needed to enhance the management of this condition.
AI-powered digital assistant for chronic disease and elderly care management
(IEEE, 2025) Bayram, Hatice Merve; Gürcan, Zehra; Ayrıç, Esmanur; Gözüaçık, Necip
The increasing prevalence of chronic diseases and the aging population pose significant challenges to healthcare systems worldwide, necessitating innovative technological solutions to alleviate the burden. Previous studies have explored telemedicine and the integration of AI in healthcare, yet there remains a gap in comprehensive systems that integrate health monitoring, advisory services, and emergency alerts. This research aims to address this gap by developing an AI-powered digital assistant designed to enhance chronic disease management and elderly care. Utilizing a user-centered design approach, the study employs mobile health applications, AI-driven decision support systems, and a hybrid health tracking model that combines automatic and manual data entry. The system architecture includes a mobile application developed with Flutter, backend services using ASP.NET Core, and AI functionalities powered by Microsoft Azure's OpenAI models. Key findings demonstrate the system's effectiveness in improving user engagement in health management, providing timely alerts, and offering personalized health insights, thereby challenging existing assumptions about the limitations of digital health platforms. The study contributes to the field by offering a scalable, user-friendly solution that empowers individuals in managing their health, with practical implications for reducing healthcare dependency and enhancing patient autonomy. Future work will focus on expanding the system's capabilities and conducting real-world user testing to further refine its accessibility and usability.
AI-assisted medical image analysis and healthcare system integration
(IEEE, 2025) Akarçeşme, Furkan; Özcan, Halenur; Horata, Şerife Zülal; Edar, Yiğit; Gözüaçık, Necip
The integration of artificial intelligence (AI) in medical image analysis and healthcare systems is transforming modern medicine by enhancing diagnostic accuracy and reducing the burden on healthcare providers. Previous studies have demonstrated the potential of AI in medical imaging, yet there remains a need for comprehensive systems that seamlessly integrate Al-driven analysis with user-friendly healthcare platforms. This research aims to address this gap by developing a web-based health management system that facilitates online appointment scheduling and AI-assisted analysis of medical images and laboratory results. Utilizing a hybrid architecture, the system employs .NET for orchestration, Python microservices for data processing, and OpenAI's GPT for natural language interaction. The study involved testing the system with simulated data, achieving over 92% accuracy in radiological image analysis, and receiving positive feedback from users regarding its interface and functionality. These findings suggest that the system not only enhances diagnostic processes but also improves patient engagement and decision-making. The research contributes to the field by offering a novel, integrated platform that bridges the gap between technical data and patient understanding, with implications for future developments in digital health solutions. The system's design and successful implementation highlight its potential for real-world application, paving the way for further validation with clinical data and expansion into mobile platforms.
Investigation of the effect of sex on caffeine-induced brown fat tissue activation by infrared thermography: A preliminary report
(Sağlık Bilimleri Üniversitesi, 2025) Ercan Karakaya, Zeynep; Günalan, Elif; Mutlu, Hayrettin
Amaç: Bu ön çalışmada, cinsiyetin diyetle indüklenen termojenez (DİT) sürecinde kahverengi yağ dokusu (KYD) aktivasyonu üzerindeki etkisinin kızılötesi termografi (IRT) yöntemiyle değerlendirilmesi amaçlanmıştır. Gereç ve Yöntem: Kasım-Aralık 2024 döneminde beden kütle indeksi 18,5–24,9 kg/m² aralığındaki kadın (n=4) ve erkek (n=4) gönüllülerin katılımıyla gerçekleştirilmiştir. Katılımcılara 0.dk karbonhidrat jeli verilmiş ve 45. dk’da ise 200 mg kafein kapsülü uygulanmıştır. Termonötr koşullarda gerçekleştirilen 120 dakikalık deney protokolü süresince, supraklaviküler (SCV) bölgeden her 15 dakikada bir IRT ile sıcaklık ölçümleri yapılmıştır. Bulgular: 0., 45., 60. ve 75. dakikalarda kadın katılımcılarda KYD aktivasyonuna işaret eden Tscf sıcaklıkları erkeklere göre istatistiksel olarak anlamlı derecede yüksektir (p<0.05). Ancak 90. dakikadan itibaren cinsiyetler arası istatistiksel anlamlı fark kaybolmuştur. Tref değerlerinde ise hiçbir ölçümde istatistiksel açıdan anlamlı bir fark bulunmamıştır. Tscf ile vücut ağırlığı arasında negatif yönde, yağ yüzdesi ile pozitif yönde korelasyon ilişkisi bulunmuştur (p<0.05). Sonuç: Cinsiyetin DİT’e etkisini IRT üzerinden tanımlayan bu ön çalışma raporuna göre subklaviküler bölgedeki KYD’nin diyetle uyarımı kadınlarda erkeklere oranla daha erken ve belirgin şekilde gerçekleşmektedir. Bu farklılığın seks hormonları ve yağ kütlesindeki farka bağlı olabileceği düşünülmektedir. Bununla birlikte gelecekte planlanacak daha geniş katılımlı ve biyokimyasal parametrelerle desteklenmiş çalışmalarla cinsiyetin DİT sürecine etkisinin ortaya konması gerekmektedir. Bunun yanı sıra bu araştırma ile KYD sıcaklık düzeyinin vücut kompozisyonu ile ilişkili olabileceği gözlenmiştir.
