86 results
Search Results
Now showing 1 - 10 of 86
Article Protective Role of Bromelain’s Antioxidant and Anti-Inflammatory Effects in Experimental Lower Limb Ischemia-Reperfusion Injury(Nature Portfolio, 2025) Sezen, Saban Cem; Demirtas, Huseyin; Yildirim, Alperen Kutay; Ozer, Abdullah; Dursun, Ali Dogan; Kucuk, Aysegul; Arslan, Mustafa; Ozalp, Veli Cengiz; Kucuk, Işın GunesIschemia-reperfusion (IR) injury is a multifaceted pathological process characterized by excessive oxidative stress and inflammatory responses upon restoration of blood flow. Bromelain, a proteolytic enzyme complex derived from pineapple, exhibits robust antioxidant and anti-inflammatory activities. This study aimed to evaluate the protective effects and underlying mechanisms of bromelain on oxidative stress and inflammation in an experimental rat model of lower limb ischemia-reperfusion injury. Twenty-four male Wistar Albino rats were randomly allocated into four groups: Sham-operated control (SHAM), Bromelain-only (BR), Ischemia-Reperfusion (IR), and Ischemia-Reperfusion with Bromelain treatment (IR + BR). Bromelain (40 mg/kg) was administered intraperitoneally before ischemia induction. The IR model involved 45 min of infrarenal abdominal aorta occlusion followed by 120 min of reperfusion. Oxidative biomarkers (total antioxidant status [TAS], total oxidant status [TOS], oxidative stress index [OSI]) and histopathological parameters (muscle atrophy, degeneration, leukocyte infiltration, internalization of nuclei, fragmentation, and hyalinization) were analyzed. Significant increases in muscle degeneration, leukocyte infiltration, nuclear internalization, fragmentation, and elevated oxidative stress biomarkers (increased TOS and OSI, decreased TAS) were observed in the IR group compared to controls. Bromelain treatment (IR + BR) significantly ameliorated these effects, reducing muscle tissue damage, inflammation, and oxidative imbalance compared to the untreated IR group. Bromelain effectively mitigates lower limb ischemia-reperfusion injury by reducing oxidative stress, restoring antioxidant capacity, and suppressing inflammatory responses. These protective effects suggest that bromelain holds potential as a therapeutic agent for managing oxidative and inflammatory damages associated with IR conditions, warranting further clinical investigation.Article Citation - WoS: 2Citation - Scopus: 2Biosorption of Reactive Dyes by Novel Bacterium Leclercia Adecarboxylata: Complete Removal of Reactive Black 5 and Molecular Insights Into the Adsorption Mechanism(Wiley, 2025) Sen, Seda; Korkmaz, Filiz; Kilic, Nur KocberberLeclercia adecarboxylata isolated from the D & uuml;den Waterfall (Turkey) was utilized as a biosorbent for the removal of Reactive Black 5 (RB5), Setazol Blue BRF-X (BRF-X), Setazol Navy Blue SBG (SNB), and Setazol Turquoise Blue G (STBG). Of the dyes, RB5 was removed with the highest efficiency, 97.4% after 60 min. The effect of parameters such as pH (3-9), initial biosorbent dose (0.1-2.0 g/L), and initial dye concentration (25-1200 mg/L) on the biosorption of RB5 was investigated. Increasing the biosorbent dosage from 0.1 to 2.0 g/L enhanced the RB5 removal from 55.3% to 100% within 10 min. The complete removal (100%) of RB5 was achieved in media with 2.0 g/L biosorbent and 25 mg/L RB5 at pH 3 after 10 min. Additionally, the soluble extracellular polymeric substances (EPS) of L. adecarboxylata were found to consist of proteins, lipids, nucleic acids, and polysaccharides according to Fourier transform infrared spectroscopy (FTIR) analysis. The EPS was found to play a crucial role in dye removal, forming chemical interactions with dye molecules. Zeta potential analysis was used to evaluate the charge distribution on the biosorbent surface (-12.6 +/- 1.1 mV) and its interactions in the biosorption process. Kinetic and isotherm models suggested a complex interaction mechanism between the biomass and the dye. Adsorption isotherm data were analyzed via nine isotherm models. Among them, the Hill model was found to be the best fit for describing the equilibrium adsorption process of the RB5 (R2 = 0.9993). Overall, the applied models elucidated the influence of both physical and chemical interactions on the mechanism. Kinetic studies revealed that the adsorption of RB5 fit a pseudo-second-order kinetic model. The unique biochemical composition of the indigenous L. adecarboxylata biosorbent provided a high affinity for RB5, offering a sustainable, rapid, and economical solution for the treatment of dye-polluted water.Article Citation - WoS: 5Citation - Scopus: 5Molecular/Antigenic Mimicry and Immunological Cross-Reactivity Explains Sars-Cov Autoimmunity(Elsevier, 2025) Adiguzel, Yekbun; Bogdanos, Dimitros P.; Shoenfeld, YehudaCOVID-19 pandemic is over, but its effects on chronic illnesses remain a challenging issue. Understanding the influence of SARS-COV-2-mediated autoimmunity and overt autoimmune disease is of paramount importance, as it can provide a critical mass of information regarding both infection-mediated (and vaccination-induced) autoimmune phenomena in susceptible individuals during the disease course, and short or long-term post-disease sequelae. The high prevalence of organ and non-organ specific autoantibody positivity in patients with COVID-19 led to studies attempting to delineate the origin and the underlying mechanism responsible for their induction nature, identifying novel autoantigens, and the self-epitope sequences which could be the impetus for the initiating autoreactive responses. Herein, we provide a meticulous review of the studies reporting those mimicking sequences that have been experimentally validated, based on the assumption that molecular mimicry and immunological crossreactivity may account for autoantibody development. Most reports are based on bioinformatics approaches, and only a disproportionally small number of studies currently demonstrate immunological crossreactivity. We took the opportunity to further review and searched for the linear human epitope sequences of human, through the epitopes deposited at the Immune Epitope Database. This included an analysis of autoimmune disease as the disease data to comprehensively understand the subject matter. The critical overview of the findings underscore the urgent and immense need for further research to gain a comprehensive understanding of the mechanisms involved and the anticipated appraisal that molecular mimicry and immunological crossreactivity is indeed central to the loss of immunological tolerance during SARS-COV-2 infection.Article Citation - WoS: 3Citation - Scopus: 3Mapping the Anterolateral Ligament of the Knee: a Bibliometric Analysis(Springernature, 2025) Oktem, Hale; Jamil, Yusuf; Sever, Sinem NurBackgroundThis study aims to evaluate research trends, key contributors, and thematic focuses in research of the anterolateral ligament (ALL) of the knee. It seeks to identify future direction for studies related to long-term clinical outcomes regarding ALL's role in rotational stability, especially in the context of anterior cruciate ligament (ACL) injuries.MethodsA bibliometric analysis was conducted using the Web of Science (WoS) database, covering publications from 2012 to 2024 with the search term "anterolateral ligament". A total of 942 studies were identified. Descriptive statistics summarized publication trends, authorship, institutional contributions, and citation metrics. VOSviewer software was used to analyze co-authorship network analysis, keyword co-occurrence mapping, and total citation analysis. Yearly publication and citation trends were analyzed using WoS data. Studies addressing the ALL in other body regions were excluded. Additionally, only authors with at least one publication and one citation were considered, and documents with more than 25 authors were excluded. A total citation analysis was conducted, and 24 relevant keywords with more than 5 occurrences were identified using VOSviewer.ResultsAmong 942 publications, 707 were original articles. Research output peaked in 2017 (125 articles). Sonnery-Cottet was the leading author (75 publications), while Universidade De S & atilde;o-Paulo emerged as the top institution (57 publications). Key journals included Arthroscopy: Journal of Arthroscopic and Related Surgery (143 articles) and The American Journal of Sports Medicine (131 articles). Keywords such as "anterior cruciate ligament", "reconstruction", and "rotational stability" dominated, reflecting a focus on ACL injury management. The top ten cited studies accrued 3,86 citations, with Claes et al.'s anatomical study leading (621 citations). Of the 942 ALL-related articles in WoS, 381 focused on anatomy (11,278 citations) while 814 addressed reconstruction (17,048 citations). Keyword trends shifted from anatomical to clinical terms, with anatomy declining and stability, injury, and outcomes gaining prominence from 2021 to 2024.ConclusionsThis bibliometric analysis underscores the growing interest in ALL research, peaking between 2016 and 2017. While foundational studies on ALL anatomy and biomechanics appear saturated, future research should prioritize clinical outcomes in terms of failure rate, reoperation, the long-term efficacy of ACL-ALL reconstruction, and advancements in imaging techniques.Article Citation - WoS: 6Citation - Scopus: 10Lpwan Cyber Security Risk Analysis: Building a Secure Iqrf Solution(Mdpi, 2023) Bouzidi, Mohammed; Amro, Ahmed; Dalveren, Yaser; Cheikh, Faouzi Alaya; Derawi, MohammadLow-power wide area network (LPWAN) technologies such as IQRF are becoming increasingly popular for a variety of Internet of Things (IoT) applications, including smart cities, industrial control, and home automation. However, LPWANs are vulnerable to cyber attacks that can disrupt the normal operation of the network or compromise sensitive information. Therefore, analyzing cybersecurity risks before deploying an LPWAN is essential, as it helps identify potential vulnerabilities and threats as well as allowing for proactive measures to be taken to secure the network and protect against potential attacks. In this paper, a security risk analysis of IQRF technology is conducted utilizing the failure mode effects analysis (FMEA) method. The results of this study indicate that the highest risk corresponds to four failure modes, namely compromised end nodes, a compromised coordinator, a compromised gateway and a compromised communication between nodes. Moreover, through this methodology, a qualitative risk evaluation is performed to identify potential security threats in the IQRF network and propose countermeasures to mitigate the risk of cyber attacks on IQRF networks.Article Citation - WoS: 11Citation - Scopus: 11Biosensor for Atp Detection Via Aptamer-Modified Pda@poss Nanoparticles Synthesized in a Microfluidic Reactor(Springer Wien, 2024) Kibar, Gunes; Sahinoglu, O. Berkay; Kilincli, Betul; Erdem, E. Yegan; Cetin, Barbaros; Ozalp, V. CengizThis study introduces aptamer-functionalized polyhedral oligomeric silsesquioxane (POSS) nanoparticles for adenosine triphosphate (ATP) detection where the POSS nanoparticles were synthesized in a one-step, continuous flow microfluidic reactor utilizing thermal polymerization. A microemulsion containing POSS monomers was generated in the microfluidic reactor which was designed to prevent clogging by using a continuous oil flow around the emulsion during thermal polymerization. Surfaces of POSS nanoparticles were biomimetically modified by polydopamine. The aptamer sequence for ATP was successfully attached to POSS nanoparticles. The aptamer-modified POSS nanoparticles were tested for affinity-based biosensor applications using ATP as a model molecule. The nanoparticles were able to capture ATP molecules successfully with an affinity constant of 46.5 mu\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\upmu $$\end{document}M. Based on this result, it was shown, for the first time, that microfluidic synthesis of POSS nanoparticles can be utilized in designing aptamer-functionalized nanosystems for biosensor applications. The integration of POSS in biosensing technologies not only exemplifies the versatility and efficacy of these nanoparticles but also marks a significant contribution to the field of biorecognition and sample preparation.Article The Role of a Smartphone Application in Monitoring the Risk of Hearing Loss Associated With Personal Listening Devices in Young Adults(Wolters Kluwer Medknow Publications, 2025) Tuz, Deniz; Saricamlik, Selin; Bodur, Ceren; Kirazli, Gulce; Akmese, Pelin PistavBackground Exposure to loud music has been reported to affect high-frequency hearing thresholds in adults. This study aimed to use a mobile application to assess the risk of hearing loss associated with personal listening devices (PLDs) in young adults. Methods A cross-sectional study was conducted on 99 healthy iPhone Operating System (iOS) smartphone users aged 17 to 31 years. Based on their weekly, monthly, 6-month, and annual listening data from the "Health" application, participants were classified into at-risk or non-risk groups. Six individuals in the at-risk group underwent audiological assessments. The Speech, Spatial, and Qualities of Hearing Scale (SSQ) was given to all participants. SSQ scores were compared between groups using the Mann-Whitney U test. The correlation between average PLD sound levels and SSQ scores was analyzed using the Spearman's test. Results The weekly, monthly, 6-month, and annual listening data showed that 16, 14, 12, and 12 participants were at risk, respectively. All six participants who underwent audiological assessment exhibited normal hearing thresholds. However, a pattern of decline at high frequencies was noted. A significant difference was found between the groups in terms of overall SSQ score (z = -2.74, P = 0.00), speech perception score (z = -3.25, P = 0.00), and hearing quality score (z = -2.01, P = 0.04) based on the 6-month and annual listening data. A weak positive correlation was found between the SSQ scores across all subscales and monthly sound-level data. Exposure duration was negatively correlated with speech perception (r = -0.32, P < 0.05), spatial perception (r = -0.26, P < 0.05), and overall score (r = -0.29, P < 0.05) in weekly data, as well as with hearing quality (r = -0.21; P < 0.05) and overall score (r = -0.21, P < 0.05) in annual data. Conclusions The immediate effects of loud music exposure were absent; however, prolonged exposure resulted in reduced speech perception and hearing-quality levels. Data from the iOS "Health" application indicated that some individuals were at risk of hearing loss, suggesting the need to modify their listening habits to prevent long-term decline in hearing function.Article The Role of Background Acoustic Stimuli in Dual Tasks: A Study on Postural Control Performance(Wiley, 2025) Saricamlik, Selin; Avci, Nizamettin Burak; Yigit, OznurIntroduction: Performing everyday tasks requires the use of multiple cognitive, sensory, and emotional systems. The interference of different variables in these multitasking systems affects our motor-balance system. This study was conducted to investigate how acoustic stimuli presented during a cognitive-motor dual task affect postural control in healthy young adults. Methods: Fifty-four healthy participants (39 females, 15 males; total age 21.87 +/- 1.18, range 19-24) were randomly assigned to control (silent), noise (multi-talker babble), or music (Mozart-Jupiter) groups based on testing environment. During the Stroop test, conducted with acoustic stimuli, postural sway velocity was measured on firm and foam surfaces with eyes open. The dual-task effect was assessed using the Wilcoxon test, and group comparisons employed one-way ANOVA or Kruskal-Wallis tests. Independent t tests and Mann-Whitney U tests were used for two-group comparisons. Statistical significance was set at p<0.05 (Bonferroni-adjusted p<0.017). Results: The silent cognitive-motor dual task increased postural sway on firm (median increased from 0.18 to 0.26 deg/s) and foam (median increased from 0.21 to 0.32 deg/s) surfaces. Music did not significantly affect cognitive performance or postural sway compared to the control group. However, noise reduced postural sway on firm and foam surfaces compared to the control group but did not affect cognitive performance. There was no significant difference in average Stroop response times between the groups or between the firm and foam surface comparisons. Conclusions: During inhibitory control tasks, cognitive effort prioritized in young people in easy-to-balance situations. Background noise affects motor-cognitive interaction, highlighting its potential for enhancing vestibular rehabilitation strategies in multitasking and guiding future research.Article Citation - WoS: 3Citation - Scopus: 4Modelling and Design of Pre-Equalizers for a Fully Operational Visible Light Communication System(Mdpi, 2023) Bostanoglu, Murat; Dalveren, Yaser; Catak, Ferhat Ozgur; Kara, AliNowadays, Visible Light Communication (VLC) has gained much attention due to the significant advancements in Light Emitting Diode (LED) technology. However, the bandwidth of LEDs is one of the important concerns that limits the transmission rates in a VLC system. In order to eliminate this limitation, various types of equalization methods are employed. Among these, using digital pre-equalizers can be a good choice because of their simple and reusable structure. Therefore, several digital pre-equalizer methods have been proposed for VLC systems in the literature. Yet, there is no study in the literature that examines the implementation of digital pre-equalizers in a realistic VLC system based on the IEEE 802.15.13 standard. Hence, the purpose of this study is to propose digital pre-equalizers for VLC systems based on the IEEE 802.15.13 standard. For this purpose, firstly, a realistic channel model is built by collecting the signal recordings from a real 802.15.13-compliant VLC system. Then, the channel model is integrated into a VLC system modeled in MATLAB. This is followed by the design of two different digital pre-equalizers. Next, simulations are conducted to evaluate their feasibility in terms of the system's BER performance under bandwidth-efficient modulation schemes, such as 64-QAM and 256-QAM. Results show that, although the second pre-equalizer provides lower BERs, its design and implementation might be costly. Nevertheless, the first design can be selected as a low-cost alternative to be used in the VLC system.Article Predicting Stroke Risk Using Machine Learning: A Data-Driven Approach to Early Detection and Prevention(Wiley, 2025) Sutcu, Muhammed; Jouda, Dana; Yildiz, Baris; Katrib, Juliano; Almustafa, Khaled MohamadStroke is a major global health concern and a leading cause of disability and mortality, emphasizing the need for early risk prediction and intervention. This study leverages statistical analysis, machine learning (ML) classification, clustering, and survival modeling to identify key stroke predictors using a dataset of 5110 records. Descriptive statistics reveal that age, glucose levels, BMI, hypertension, and heart disease are the most influential risk factors. Stroke prevalence is notably higher among hypertensive (13.25%) and heart disease patients (17.03%), as well as among former (7.91%) and current smokers (5.32%). Clustering analysis using PCA and t-SNE highlights high-risk groups with elevated glucose levels and advanced age. Among ML models, XGBoost offers the best trade-off between precision and recall, while na & iuml;ve Bayes achieves the highest recall (0.404), detecting more stroke cases despite higher false positives. Feature importance analysis ranks glucose, BMI, and age as dominant predictors, with XGBoost emphasizing cardiovascular conditions. Survival analysis confirms increasing stroke risk beyond age 60, with the Kaplan-Meier and Cox models showing a 31.9% risk increase linked to hypertension. These findings underscore the importance of early screening, lifestyle intervention, and targeted care. Future research should explore data-balancing methods like SMOTE and develop real-time tools to support clinical decision-making.
