Sürdürülebilir Kalkınma Amaçları

Yazarlar

  • MakaleAçık Erişim2025
    Circulating Extracellular Vesicles as Putative Mediators of Cardiovascular Disease in Paediatric Chronic Kidney Disease

    Behrens, Felix; Holle, Johannes; Chen, Chia-Yu; Ginsbach, Laura F.; Krause, Benjamin C.; Bruning, Ulrike; Kriegel, Fabian L.; Kaiser, Toralf; Szijarto, Istvan A.; Anandakumar, Harithaa

    Cardiovascular disease (CVD) is the leading cause of mortality in chronic kidney disease (CKD). However, the pathogenesis of CVD in CKD remains incompletely understood. Endothelial extracellular vesicles (EC-EVs) have previously been associated with CVD. We hypothesized that CKD alters EV release and cargo, subsequently promoting vascular remodelling. We recruited 94 children with CKD, including patients after kidney transplantation and healthy donors, and performed EV phenotyping and functional EV analyses in the absence of age-related comorbidities. Plasma EC-EVs were increased in haemodialysis patients and decreased after kidney transplantation. Thirty microRNAs were less abundant in total CKD plasma EVs with predicted importance in angiogenesis and smooth muscle cell proliferation. In vitro, CKD plasma EVs induced transcriptomic changes in angiogenesis pathways and functionally impaired angiogenic properties, migration and proliferation in ECs. High shear stress, as generated by arterio-venous fistulas, and uremic toxins were considered as potential drivers of EV release, but only the combination increased EV generation from venous ECs. The resulting EVs recapitulated miRNA changes observed in CKD in vivo. In conclusion, CKD results in the release of EVs with altered miRNA profiles and anti-angiogenic properties, which may mediate vascular pathology in children with CKD. EVs and their miRNA cargo may represent future therapeutic targets to attenuate CVD in CKD.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
  • Derleme MakaleYalnız künye2023
    A Comprehensive Review of Computer-based Techniques for R-Peaks/QRS Complex Detection in ECG Signal

    Dogan, Hulya; Dogan, Ramazan Ozgur

    Electrocardiogram (ECG) signal, which is composite of multiple segments such as P-wave, QRS complex and T-wave, plays a crucial role in the treatment of cardiovascular disease. For an analysis of cardiac diagnosis, it is required that clinicians scan the ECG signal for QRS complex or R-peaks (the highest peak of the QRS complex) detection, which relies on their expertise and takes enormous time. In order to provide more realistic treatment of cardiovascular diseases, so many computer-based techniques detecting R-peaks/QRS complex in the ECG signal with noises and different characteristics have been actively developed in research article for many years. Moreover, researchers have created various data sets for R-peaks/QRS complex detection. Although R-peaks/QRS complex detection is one of the notable research areas with so many computer-based techniques and ECG data sets, no comprehensive review paper have been published recently. The main aim of this study is to present a wide range of computer-based techniques proposed for detection of R-peaks/QRS complex. First of all, in this study, computer-based techniques proposed in the literature for the detection of R-peaks/QRS complex and their stages are introduced in detail. The generalization ability of these techniques is investigated deeply. Details are given about the most preferred ECG data sets produced in the literature for the analysis of computer-based techniques. Finally, the performances of computer-based techniques and generalization abilities are analyzed for each data set created in the literature by giving the results of the evaluation metrics.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
  • MakaleAçık Erişim2013
    Evaluation of cardiovascular risk factors among university students in Turkey: a cross-sectional survey

    Kutlu, Rasim; Memetoglu, Mehmet Erdem

    Background - Recent data indicate increasing rates of mortality from cardiovascular (CV) disease in Turkey. This study aimed to evaluate CV disease risk factors among university students in Northern Turkey. Methods - In this cross sectional descriptive study, 302 students were randomly recruited (171 females (57%) and 131 males (43%), mean age of 20 +/- 2.1 years). Blood glucose, cholesterol profile (total, high density lipoprotein (HDL) and low density lipoprotein (LDL) cholesterols), triglyceride, glycosylated haemoglobin, resting blood pressure, and body mass index were measured using standard protocols. All participants were asked to complete a questionnaire including questions on lifestyle, genetic predisposition, smoking habit, and psychosocial factors. Results - The mean systolic and diastolic blood pressure of students were 127.1 +/- 13.5 mmHg and 78.3 +/- 12.4 mmHg. The mean values were 98.4 +/- 14.2 mg/dL for fasting blood glucose value, 5.4 +/- 0.4 for HbA(1c), 80.0 +/- 10.3 beats/min for heart rate, for total cholesterol 199.1 +/- 24.6 mg/dL, 43.8 +/- 9.9 mg/dL for HDL, 114.7 +/- 24.1 mg/dL for LDL, 199.1 +/- 24.6 mg/dL for trygliceride, 24.8 +/- 3.6 kg/m(2) for body mass index, 97.6 +/- 17.9 cm for waist circumference. No significant difference was observed between gender according to CV risk factors' values statistically. It was observed that 111 (36.8%) students were overweight, 32 (10.6%) were obes. About 135 (44.0%) of students had abnormally unacceptable WC value. Smoking habit was seen in 130 (43.0%) students [73 (24.2%) male and 57 (18.9%) female]. Conclusion - A substantial proportion of Turkish students were overweight or obese, and had smoking habit. Our results underscore the need to implement health promotion programmes and perform large-scale epidemiological studies within the general Turkish young adult population.

    • SDG 3 · Sağlık ve Kaliteli Yaşam