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Your search keyword '"URAL, DİLEK"' showing total 30 results
Start Over Author "URAL, DİLEK" Publisher wiley
30 results on '"URAL, DİLEK"'

1. Multiomics analysis reveals the impact of microbiota on host metabolism in hepatic steatosis

Author

Ural, Dilek (ORCID 0000-0001-6419-0323 & YÖK ID 1057); Akyıldız, Murat (ORCID 0000-0002-2080-7528 & YÖK ID 123080); Gönenli, Mehmet Gökhan (ORCID 0000-0003-2925-7048 & YÖK ID 350445); Sağlam, Burçin; Yiğit, Buket; Ulukan, Burge; Zeybel, Müjdat, Arif, Muhammad; Li, Xiangyu; Altay, Özlem; Shi, Mengnan; Shoaie, Saeed; Türkez, Hasan; Nielsen, Jens; Zhang, Cheng; Uhlen, Mathias; Boren, Jan; Mardinoğlu, Adil; Yang, Hong, Graduate School of Health Sciences; School of Medicine, Ural, Dilek (ORCID 0000-0001-6419-0323 & YÖK ID 1057); Akyıldız, Murat (ORCID 0000-0002-2080-7528 & YÖK ID 123080); Gönenli, Mehmet Gökhan (ORCID 0000-0003-2925-7048 & YÖK ID 350445); Sağlam, Burçin; Yiğit, Buket; Ulukan, Burge; Zeybel, Müjdat, Arif, Muhammad; Li, Xiangyu; Altay, Özlem; Shi, Mengnan; Shoaie, Saeed; Türkez, Hasan; Nielsen, Jens; Zhang, Cheng; Uhlen, Mathias; Boren, Jan; Mardinoğlu, Adil; Yang, Hong, and Graduate School of Health Sciences; School of Medicine

Abstract

Metabolic dysfunction-associated fatty liver disease (MAFLD) is a complex disease involving alterations in multiple biological processes regulated by the interactions between obesity, genetic background, and environmental factors including the microbiome. To decipher hepatic steatosis (HS) pathogenesis by excluding critical confounding factors including genetic variants and diabetes, 56 heterogenous MAFLD patients are characterized by generating multiomics data including oral and gut metagenomics as well as plasma metabolomics and inflammatory proteomics data. The dysbiosis in the oral and gut microbiome is explored and the host-microbiome interactions based on global metabolic and inflammatory processes are revealed. These multiomics data are integrated using the biological network and HS's key features are identified using multiomics data. HS is finally predicted using these key features and findings are validated in a follow-up cohort, where 22 subjects with varying degree of HS are characterized., Knut and Alice Wallenberg Foundation; ScandiBio Therapeutics; European Union (EU); Horizon 2020; PoLiMeR Innovative Training Network; Marie Sklodowska-Curie Grant; Research and Innovation Program; Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX)

Published
2022

2. Evaluation of pulmonary arterial stiffness and comparison with right ventricular functions in patients with cirrhosis preparing for liver transplantation

Author

Elçioğlu, Betul Cengiz, primary, Baydar, Onur, additional, Helvacı, Füsun, additional, Karataş, Cihan, additional, Aslan, Gamze, additional, Kılıç, Alparslan, additional, Tefik, Nihal, additional, Demir, Barış, additional, Gürsoy, Erol, additional, Demirci, Yasemin, additional, Ural, Dilek, additional, Kanmaz, Turan, additional, Aytekin, Vedat, additional, and Aytekin, Saide, additional

Published
2022
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3. Multiomics Analysis Reveals the Impact of Microbiota on Host Metabolism in Hepatic Steatosis

Author

Zeybel, Mujdat, primary, Arif, Muhammad, additional, Li, Xiangyu, additional, Altay, Ozlem, additional, Yang, Hong, additional, Shi, Mengnan, additional, Akyildiz, Murat, additional, Saglam, Burcin, additional, Gonenli, Mehmet Gokhan, additional, Yigit, Buket, additional, Ulukan, Burge, additional, Ural, Dilek, additional, Shoaie, Saeed, additional, Turkez, Hasan, additional, Nielsen, Jens, additional, Zhang, Cheng, additional, Uhlén, Mathias, additional, Borén, Jan, additional, and Mardinoglu, Adil, additional

Published
2022
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4. Evaluation of kidney function throughout the heart failure trajectory – a position statement from the Heart Failure Association of the European Society of Cardiology

Author

Mullens, Wilfried, primary, Damman, Kevin, additional, Testani, Jeffrey M., additional, Martens, Pieter, additional, Mueller, Christian, additional, Lassus, Johan, additional, Tang, W.H. Wilson, additional, Skouri, Hadi, additional, Verbrugge, Frederik H., additional, Orso, Francesco, additional, Hill, Loreena, additional, Ural, Dilek, additional, Lainscak, Mitcha, additional, Rossignol, Patrick, additional, Metra, Marco, additional, Mebazaa, Alexandre, additional, Seferovic, Petar, additional, Ruschitzka, Frank, additional, and Coats, Andrew, additional

Published
2020
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5. Angiotensin-converting enzyme inhibitors in female patients with diabetes mellitus in reduced ejection fraction heart failure

Author

Ural, Dilek (ORCID 0000-0001-6419-0323 & YÖK ID 1057), Kozdağ, G. Güliz; Karaüzüm, I.; Karaüzüm, K.; Kahraman, G.; Kılıç, T.; Wiley, J.; Sanina, C.; Baydemir, C.; Vural, A.; Ağır, A. Ağaçdiken, School of Medicine, Department of Cardiology, Ural, Dilek (ORCID 0000-0001-6419-0323 & YÖK ID 1057), Kozdağ, G. Güliz; Karaüzüm, I.; Karaüzüm, K.; Kahraman, G.; Kılıç, T.; Wiley, J.; Sanina, C.; Baydemir, C.; Vural, A.; Ağır, A. Ağaçdiken, School of Medicine, and Department of Cardiology

Abstract

NA

Published
2019

6. Clinical predictors of the long-term progression of renal dysfunction in heart failure patients with reduced ejection fraction

Author

Ural, Dilek (ORCID 0000-0001-6419-0323 & YÖK ID 1057), Argan, O.; Karauzum, K.; Karaüzüm, I.; Kozdağ, G.; Ağır, A., School of Medicine, Department of Cardiology, Ural, Dilek (ORCID 0000-0001-6419-0323 & YÖK ID 1057), Argan, O.; Karauzum, K.; Karaüzüm, I.; Kozdağ, G.; Ağır, A., School of Medicine, and Department of Cardiology

Abstract

NA

Published
2019

9. Heart and brain interaction in patients with heart failure: overview and proposal for a taxonomy. A position paper from the Study Group on Heart and Brain Interaction of the Heart Failure Association

Author

Doehner, Wolfram, primary, Ural, Dilek, additional, Haeusler, Karl Georg, additional, Čelutkienė, Jelena, additional, Bestetti, Reinaldo, additional, Cavusoglu, Yuksel, additional, Peña-Duque, Marco A., additional, Glavas, Duska, additional, Iacoviello, Massimo, additional, Laufs, Ulrich, additional, Alvear, Ricardo Marmol, additional, Mbakwem, Amam, additional, Piepoli, Massimo F., additional, Rosen, Stuart D., additional, Tsivgoulis, Georgios, additional, Vitale, Cristiana, additional, Yilmaz, M. Birhan, additional, Anker, Stefan D., additional, Filippatos, Gerasimos, additional, Seferovic, Petar, additional, Coats, Andrew J.S., additional, and Ruschitzka, Frank, additional

Published
2017
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27. Multiomics analysis reveals the impact of microbiota on host metabolism in hepatic steatosis

Author

Mujdat Zeybel, Muhammad Arif, Xiangyu Li, Ozlem Altay, Hong Yang, Mengnan Shi, Murat Akyildiz, Burcin Saglam, Mehmet Gokhan Gonenli, Buket Yigit, Burge Ulukan, Dilek Ural, Saeed Shoaie, Hasan Turkez, Jens Nielsen, Cheng Zhang, Mathias Uhlén, Jan Borén, Adil Mardinoglu, Ural, Dilek (ORCID 0000-0001-6419-0323 & YÖK ID 1057), Akyıldız, Murat (ORCID 0000-0002-2080-7528 & YÖK ID 123080), Gönenli, Mehmet Gökhan (ORCID 0000-0003-2925-7048 & YÖK ID 350445), Sağlam, Burçin, Yiğit, Buket, Ulukan, Burge, Zeybel, Müjdat, Arif, Muhammad, Li, Xiangyu, Altay, Özlem, Shi, Mengnan, Shoaie, Saeed, Türkez, Hasan, Nielsen, Jens, Zhang, Cheng, Uhlen, Mathias, Boren, Jan, Mardinoğlu, Adil, Yang, Hong, Graduate School of Health Sciences, and School of Medicine

Subjects
Microbiota, General Chemical Engineering, General Engineering, General Physics and Astronomy, Medicine (miscellaneous), Biochemistry, Genetics and Molecular Biology (miscellaneous), Gastrointestinal Microbiome, Fatty Liver, Gut and oral metagenomics, Metabolic dysfunction-associated fatty liver disease, Metabolomics, Multiomics analysis, Proteomics, Systems biology, Systems medicine, Dysbiosis, Humans, General Materials Science, Metagenomics, Multidisciplinary chemistry, Nanoscience and nanotechnology, Multidisciplinary materials science
Abstract

Metabolic dysfunction-associated fatty liver disease (MAFLD) is a complex disease involving alterations in multiple biological processes regulated by the interactions between obesity, genetic background, and environmental factors including the microbiome. To decipher hepatic steatosis (HS) pathogenesis by excluding critical confounding factors including genetic variants and diabetes, 56 heterogenous MAFLD patients are characterized by generating multiomics data including oral and gut metagenomics as well as plasma metabolomics and inflammatory proteomics data. The dysbiosis in the oral and gut microbiome is explored and the host-microbiome interactions based on global metabolic and inflammatory processes are revealed. These multiomics data are integrated using the biological network and HS's key features are identified using multiomics data. HS is finally predicted using these key features and findings are validated in a follow-up cohort, where 22 subjects with varying degree of HS are characterized., Knut and Alice Wallenberg Foundation; ScandiBio Therapeutics; European Union (EU); Horizon 2020; PoLiMeR Innovative Training Network; Marie Sklodowska-Curie Grant; Research and Innovation Program; Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX)

Published
2022

28. Heart and brain interaction in patients with heart failure: overview and proposal for a taxonomy. A position paper from the Study Group on Heart and Brain Interaction of the Heart Failure Association.

Author

Doehner W, Ural D, Haeusler KG, Čelutkienė J, Bestetti R, Cavusoglu Y, Peña-Duque MA, Glavas D, Iacoviello M, Laufs U, Alvear RM, Mbakwem A, Piepoli MF, Rosen SD, Tsivgoulis G, Vitale C, Yilmaz MB, Anker SD, Filippatos G, Seferovic P, Coats AJS, and Ruschitzka F

Subjects
Disease Progression, Humans, Brain physiopathology, Cardiology, Cognition physiology, Consensus, Heart Failure classification, Heart Failure physiopathology, Hemodynamics physiology, Societies, Medical
Abstract

Heart failure (HF) is a complex clinical syndrome with multiple interactions between the failing myocardium and cerebral (dys-)functions. Bi-directional feedback interactions between the heart and the brain are inherent in the pathophysiology of HF: (i) the impaired cardiac function affects cerebral structure and functional capacity, and (ii) neuronal signals impact on the cardiovascular continuum. These interactions contribute to the symptomatic presentation of HF patients and affect many co-morbidities of HF. Moreover, neuro-cardiac feedback signals significantly promote aggravation and further progression of HF and are causal in the poor prognosis of HF. The diversity and complexity of heart and brain interactions make it difficult to develop a comprehensive overview. In this paper a systematic approach is proposed to develop a comprehensive atlas of related conditions, signals and disease mechanisms of the interactions between the heart and the brain in HF. The proposed taxonomy is based on pathophysiological principles. Impaired perfusion of the brain may represent one major category, with acute (cardio-embolic) or chronic (haemodynamic failure) low perfusion being sub-categories with mostly different consequences (i.e. ischaemic stroke or cognitive impairment, respectively). Further categories include impairment of higher cortical function (mood, cognition), of brain stem function (sympathetic over-activation, neuro-cardiac reflexes). Treatment-related interactions could be categorized as medical, interventional and device-related interactions. Also interactions due to specific diseases are categorized. A methodical approach to categorize the interdependency of heart and brain may help to integrate individual research areas into an overall picture., (© 2017 The Authors. European Journal of Heart Failure © 2017 European Society of Cardiology.)

Published
2018
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29. Analysis of pericardial effusion from idiopathic pericarditis patients by two-dimensional gel electrophoresis.

Author

Yavuz S, Kasap M, Akpinar G, Ozbudak E, Ural D, and Berki T

Subjects
Adult, Aged, Blood Proteins biosynthesis, Blood Proteins genetics, Electrophoresis, Gel, Two-Dimensional, Female, Gene Expression Regulation, Humans, Male, Middle Aged, Pericardial Effusion pathology, Pericarditis pathology, Blood Proteins isolation & purification, Heart physiopathology, Pericardial Effusion genetics, Pericarditis genetics
Abstract

Pericardial fluid (PF) is often considered to be reflection of the serum by which information regarding the physiological status of the heart can be obtained. Some local and systemic disorders may perturb the balance between synthesis and discharge of PF and may cause its aberrant accumulation in the pericardial cavity as pericardial effusion (PE). PE may then lead to an increased intrapericardial pressure from which the heart function is undesirably affected. For some cases, the causes for the perturbance of fluid balance are well understood, but in some other cases, they are not apparent. It may, thus, be helpful to understand the molecular mechanisms behind this troublesome condition to elucidate a clinical approach for therapeutic uses. In this study, protein profiles of PEs from idiopathic pericarditis patients were analyzed. Control samples from patients undergoing elective cardiac surgery (ECS) were included for comparison. In addition to high abundant serum-originated proteins that may not hold significance for understanding the molecular mechanisms behind this disease, omentin-1 was identified and its level was higher for more than two-fold in PE of IP patients. Increased levels of omentin-1 in PE may open a way for understanding the molecular mechanisms behind idiopathic pericarditis (IP).

Published
2014
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30. Comparative analysis of apoptotic resistance of mesenchymal stem cells isolated from human bone marrow and adipose tissue.

Author

Ertaş G, Ural E, Ural D, Aksoy A, Kozdağ G, Gacar G, and Karaöz E

Subjects
Flow Cytometry, Humans, Hydrogen Peroxide pharmacology, Immunohistochemistry, Immunophenotyping, In Vitro Techniques, Oxidative Stress, Adipose Tissue cytology, Apoptosis, Bone Marrow Cells cytology, Mesenchymal Stem Cells cytology
Abstract

Aim: Mesenchymal stem cells (MSCs) isolated from human bone marrow (hBM) and adipose tissue (hAT) are perceived as attractive sources of stem cells for cell therapy. The aim of this study was to compare MSCs from hBM and hAT for their immunocytochemistry staining and resistance to in vitro apoptosis., Methods: In our study, we investigated the antiapoptotic ability of these MSCs toward oxidative stress induced by hydrogen peroxide (H(2)O(2)) and serum deprivation. Results were assessed by MTT and flow cytometry. All experiments were repeated a minimum of three times., Results: Flow cytometry and MTT analysis revealed that hAT-MSCs exhibited a higher resistance toward H(2)O(2)-induced apoptosis (n = 3, hBM-hAT viability H(2)O(2)  58.43 ± 1.24-73.02 ± 1.44, P < 0.02) and to serum-deprivation-induced apoptosis at days 1 and 4 than the hBM-MSCs (n = 3, hAT-hBM absorbance, resp., day 1: 0.305 ± 0.027-0.234 ± 0.015, P = 0.029, day 4: 0.355 ± 0.003-0.318 ± 0.007, P = 0.001, and day 7: 0.400 ± 0.017-0.356 ± 0.008, P = 0.672). hAT-MSCs showed superior tolerance to oxidative stress triggered by 2 mmol/L H(2)O(2) and also have superior antiapoptosis capacity toward serum-free culture., Conclusion: In this study we found that hAT-MSCs are more resistant to in vitro apoptosis.

Published
2012
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