Balıkesir Üniversitesi Kurumsal Akademik Arşivi
DSpace@Balıkesir, Balıkesir Üniversitesi 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 yayınların etkisini artırmak için telif haklarına uygun olarak Açık Erişime sunar.
Güncel Gönderiler
Relationship between the severity of coronary artery disease and renal function
(SAGE Publications Inc., 2026) Kadı, Hasan; Çelik, Ataç; Özbek, Kerem; Damar, İbrahim Halil; Zorlu, Çağrı; Karaman, Kayıhan; Karayakalı, Metin
The American Heart Association’s Predicting Risk of cardiovascular disease EVENTs (PREVENT) equations establishedestimated glomerular filtration rate (eGFR) as a component of cardiovascular risk assessment. However, the anatomicalsubstrate underlying this risk—coronary atherosclerotic burden—remains inadequately characterized across renal functionspectrum. This retrospective study included 1181 patients (mean age: 60.2 ± 8.9 years, 65.7% male) undergoing electivecoronary angiography. Patients divided groups using eGFR; eGFR ≥90 (n = 596), 60 to 89 (n = 497), and 30 to 59 mL/min/1.73 m 2 (n = 88) were evaluated by stratification. Coronary atherosclerotic burden was determined using Gensini score.eGFR demonstrated a strong correlation with Gensini score (ρ = −0.352, P < .001). Each 10 mL/min/1.73 m 2 eGFR declineconferred 40% increased odds of severe coronary atherosclerosis (odds ratio [OR] = 0.960, 95% CI: 0.951-0.970, P < .001).Patients with eGFR 30 to 59 mL/min/1.73 m2 exhibited 6-fold higher odds compared with preserved renal function (OR6.073, 95% CI: 3.352-11.005, P < .001), independent of traditional risk factors. This study provides an anatomical validationfor incorporating eGFR into cardiovascular risk assessment. Our angiographic evidence demonstrates that even mild renaldysfunction is accompanied by increased atherosclerotic burden. These findings bridge the gap between epidemiological riskprediction and pathophysiological reality, reinforcing the cardiovascular-kidney-metabolic health continuum and supportingaggressive risk modification strategies in patients with declining renal function, particularly among diabetic women.
Response to the letter regarding "Relationship between the severity of coronary artery disease and renal function"
(SAGE Publications Inc., 2026) Kadı, Hasan; Karayakalı, Metin; Karaman, Kayıhan; Çelik, Ataç; Özbek, Kerem; Damar, Halil İbrahim; Zorlu, Çağrı
Dear Editor,We thank Engin et al 1 for their careful evaluation of ourarticle and their constructive remarks. We are pleased to clar-ify the points they have raised.With respect to the interpretation of the correlation coeffi-cient between estimated glomerular filtration rate (eGFR) andGensini score (ρ = −.352), we agree that, according to com-monly accepted statistical conventions, this magnitude is bestdescribed as a moderate inverse correlation. In our originalwording, the term “strong” was used in a relative sense, aseGFR demonstrated the highest correlation with Gensiniscore among all measured clinical and laboratory variables inour dataset.2 To avoid ambiguity, we agree that revising theterminology to reflect the statistically appropriate classifica-tion is preferable. Importantly, beyond the unadjusted correla-tion, renal function remained the strongest independentdeterminant of coronary atherosclerotic burden in multivari-able regression analyses, supporting the clinical relevance ofthis association.
The effect of air pollution on respiratory diseases in the era of global warming: Research from Turkiye
(Univ Studi Bologna, Dept Agricultural Sciences, 2026) Ergün, Kadriye; Keskin, Gülşen Aydın; Demirarslan, Kazım Onur; Doğruparmak, Şenay Çetin
Air pollution and climate change are interconnected, posing significant health risks. This study assesses air pollution levels in Türkiye, their link to respiratory disorders, and regional variations. Findings show that Istanbul, Türkiye's most populous city, has the highest patient count (mean ± SD: 387 ± 302). Positive correlations were found between air pollutants and patient numbers, except for ozone; sulfur dioxide showed the strongest correlation (r = 0.7). Multivariate regression indicated adjusted R2 > 0.5 in four regions. K-means++ clustering categorized regions by population density, with the largest cluster covering 28.3% of the dataset. These results underscore the impact of air pollution on respiratory health, highlighting the need for targeted interventions to reduce environmental risks and disease prevalence.
A novel fractional-order scheme for non-linear problems with applications in optimization
(MDPI, 2026) Kausar, Nasreen; Shams, Mudassir; Pourhejazy, Pourya
The existing methods for solving non-linear equations encounter convergence issues and
computing constraints, especially when used in fractional-order or complex non-linear
problems. This study develops a higher-order fractional technique for solving non-linear
equations based on the Caputofractional derivative. The proposed method uses a fractional
framework to improve local convergence and stability while ensuring high efficiency in
every iteration step. Local convergence analysis using generalized Taylor series expansion
reveals that the order of the new fractional scheme for solving non-linear equations is 5¢ + 1,
where ¢ ∈ (0,1] represents the Caputo fractional order, determining the memory depth of
the Caputo fractional derivative. The performance of the method is further investigated
using a variety of non-linear problems from engineering optimization and applied sciences,
such as engineering control systems, computational chemistry, thermodynamics models,
and operations research, such as inventory optimization. Analyzing the key performance
metrics, such as dynamical analysis, percentage convergence, residual error, and computa
tion time, confirms the advantages of the developed method over the state-of-the-art. This
study provides a solid framework for higher-order fractional iterative approaches, paving
the way for advanced applications of non-linear problems.
Inhibitory effects and molecular interaction analysis of emergency cardiac drugs on human serum paraoxonase 1: An integrated in vitro and in silico approach
(Taylor and Francis Ltd., 2026) Arslan, Oktay; Gencer, Nahit; Muhammed, Muhammed Tilahun; Yüksel, Melih; Gökçe, Başak
Context: Paraoxonase 1 (PON1) is a crucial antioxidant enzyme involved in the hydrolysis oforganophosphates and the prevention of oxidative damage to lipoproteins. Objective: This studyaimed to purify PON1 using a newly synthesised hydrophobic interaction chromatography geland to investigate the inhibitory effects of selected emergency cardiac drugs on PON1 activitythrough in vitro and in silico approaches. Materials and methods: PON1 was purified using aSepharose-4B-L-tyrosine-6-aminochrysene hydrophobic interaction chromatography gel. Theinhibitory effects of deslanoside, digitoxin, esmolol, and adenosine were evaluated via kineticinhibition assays, molecular docking, molecular dynamics simulations, and MMPBSA calculations.Results: Among the tested compounds, esmolol exhibited the strongest inhibition of PON1activity (IC50 = 0.131 ± 0.071 μM, Ki = 0.044 ± 0.009 μM) via a competitive mechanism. Moleculardocking revealed strong binding affinity of esmolol to the PON1 active site, which was furthersupported by molecular dynamics simulations over 150 ns. Discussion and conclusion: Thefindings indicate a potential interaction between commonly used emergency cardiac drugs andPON1, highlighting the importance of evaluating off-target effects on critical metabolic enzymesin cardiovascular therapy
