79 results on '"Djukic T"'
Search Results
2. BYPRODUCTS OF PROTEIN, LIPID AND DNA OXIDATIVE DAMAGE IN EPILEPTIC SEIZURE: 090
- Author
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Ercegovac, M, Jovic, N, Simic, T, Sokic, D, Djukic, T, and Pljesa, Ercegovac M
- Published
- 2010
3. A data driven method for OD matrix estimation
- Author
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Krishnakumari, P.K. (author), van Lint, J.W.C. (author), Djukic, T. (author), Cats, O. (author), Krishnakumari, P.K. (author), van Lint, J.W.C. (author), Djukic, T. (author), and Cats, O. (author)
- Abstract
The fundamental challenge of the origin-destination (OD) matrix estimation problem is that it is severely under-determined. In this paper we propose a new data driven OD estimation method for cases where a supply pattern in the form of speeds and flows is available. We show that with these input data, we do not require an iterative dynamic network loading procedure that results in an equilibrium assignment, nor do we need an assumption on the kind of equilibrium that emerges from this process. The minimal number of ingredients which are needed are (a) a method to estimate/predict production and attraction time series; (b) a method to compute the N shortest paths from each OD zone to the next; and (c) two—possibly OD-specific—assumptions on the magnitude of N; and on the proportionality of path flows between these origins and destinations, respectively. The latter constitutes the most important behavioral assumption in our method, which relates to how we assume travelers have chosen their routes between OD pairs. We choose a proportionality factor that is inversely proportional to realized travel time, where we incorporate a penalty for path overlap. For large networks, these ingredients may be insufficient to solve the resulting system of equations. We show how additional constraints can be derived directly from the data by using principal component analysis, with which we exploit the fact that temporal patterns of production and attraction are similar across the network. Experimental results on a toy network and a large city network (Santander, Spain) show that our OD estimation method works satisfactorily, given a reasonable choice of N, and the use of so-called 3D supply patterns, which provide a compact representation of the supply dynamics over the entire network. Inclusion of topological information makes the method scalable both in terms of network size and for different topologies. Although we use a neural network to predict production and attraction in o, Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public., Transport and Planning
- Published
- 2020
- Full Text
- View/download PDF
4. Markers of Oxidative Stress and Endothelial Dysfunction Predict Haemodialysis Patients Survival
- Author
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Suvakov, S, Jerotic, D, Damjanovic, T, Milic, N, Pekmezovic, T, Djukic, T, Jelic-Ivanovic, Z, Savic Radojevic, A, Pljesa-Ercegovac, M, Matic, M, Mcclements, L, Dimkovic, N, Garovic, VD, Albright, RC, Simic, T, Suvakov, S, Jerotic, D, Damjanovic, T, Milic, N, Pekmezovic, T, Djukic, T, Jelic-Ivanovic, Z, Savic Radojevic, A, Pljesa-Ercegovac, M, Matic, M, Mcclements, L, Dimkovic, N, Garovic, VD, Albright, RC, and Simic, T
- Abstract
© 2019 © 2019 S. Karger AG, Basel. Copyright: All rights reserved. Introduction: Overall survival of patients with end-stage renal disease (ESRD) remains poor. Oxidative stress is one of the major risk factors associated with mortality in this patient group. As glutathione S-transferases (GST) are well-established antioxidants, we hypothesized that a model including GST gene polymorphisms, oxidative damage byproducts and cell adhesion markers has a prognostic role in ESRD patient survival. Methods: A prospective study of 199 patients with ESRD on haemodialysis was conducted. GST genotype, oxidative stress byproducts and cell adhesion molecules were measured in plasma. Multivariate Cox regression and Kaplan-Meier survival analyses were performed to test the predictive ability of these parameters in the 8-year follow-up period. Results: GSTM1-null genotype was associated with significantly shorter overall (HR 1.6, p = 0.018) and cardiovascular-specific (HR 2.1, p = 0.010) survival. Oxidative stress byproducts (advanced oxidation protein products [AOPP], prooxidant-antioxidant balance [PAB], malondialdehyde [MDA]) and cell adhesion molecules (soluble vascular cell adhesion molecule-1 [sVCAM-1] and soluble intercellular adhesion molecule-1 [sICAM-1]) demonstrated a significant predictive role in terms of overall and cardiovascular survival. When 6 biomarkers (GSTM1 genotype, high AOPP/PAB/MDA/-sVCAM-1/sICAM-1) were combined into a scoring model, a significantly shorter overall and cardiovascular survival was observed for patients with the highest score (p < 0.001). Conclusion: We identified a novel panel of biomarkers that can be utilized in predicting survival in ESRD patients. This biomarker signature could enable better monitoring of patients and stratification into appropriate treatment groups.
- Published
- 2019
5. Glutathione S-transferase (GST) polymorphism could be an early marker in the development of PCOS: An insight from non-obese and non-insulin resistant adolescents
- Author
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Savic-Radojevic, A. Mazibrada, I. Djukic, T. Stankovic, Z.B. Plješa-Ercegovac, M. Sedlecky, K. Bjekic-Macut, J. Simic, T. Mastorakos, G. Macut, D.
- Subjects
endocrine system diseases ,nutritional and metabolic diseases - Abstract
Introduction: It has been supposed that endocrine disturbances might be responsible for PCOS-associated oxidative stress, with special emphasis on hyperandrogenism. Considering the potential relationship between hyperandrogenism and increased free radical production, parameters of oxidative stress were determined in non-obese normoinsulinaemic adolescent girls newly diagnosed with polycystic ovary syndrome (PCOS). Materials and methods: Nitrotyrosin, thiol group concentrations, glutathione peroxidase, and superoxide dismutase activities were determined under fasting conditions and during oral glucose tolerance test (OGTT) in 35 PCOS patients and 17 controls. Insulin resistance was assessed by the homeostasis model (HOMA-IR), HOMA β, IGI, Matsuda insulin sensitivity index (ISI), and AUC for glucose. Glutathione S-transferases (GSTs) polymorphisms were determined by PCR. Results: Under fasting conditions, no significant difference of oxidative stress parameters was found between PCOS and controls. Acute hyperglycaemia during OGTT induced significant alteration in parameters of oxidative protein damage in PCOS patients. Alteration in nitrotyrosin concentrations correlated with testosterone, DHEAS, androstenediones, FAI, and LH, while changes in thiol groups correlated with DHEAS. Significant inverse association was found between LH and ISI, as well as AUC glucose and thiol groups. PCOS girls, carriers of GSTM1-null genotype, had significantly lower testosterone in comparison to ones with GSTM1-active genotype. Conclusions: PCOS girls exhibited high free radical production together with unchanged antioxidant enzymatic capacity, independently from obesity and insulin resistance. Based on associations between oxidative stress parameters and testosterone, DHEAS, and androstenedione, it can be suggested that increased free radical production, probably as a consequence of hyperandrogenaemia, is an early event in the development of PCOS. © 2018 Via Medica.All right reserved.
- Published
- 2018
6. Towards a generic benchmarking platform for OD flows estimation/updating algorithms: design, demonstration and validation
- Author
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Antoniou, C, Barceló, J, Breen, M, Bullejos, M, Casas, J, CIPRIANI, ERNESTO, Ciuffo, B, Djukic, T, Hoogendoorn, S, Marzano, V, Montero, L, NIGRO, Marialisa, Perarnau, J, Punzo, V, Toledo, T, van Lint, H., Antoniou, C, Barceló, J, Breen, M, Bullejos, M, Casas, J, Cipriani, Ernesto, Ciuffo, B, Djukic, T, Hoogendoorn, S, Marzano, V, Montero, L, Nigro, Marialisa, Perarnau, J, Punzo, V, Toledo, T, and van Lint, H.
- Published
- 2016
7. A framework for the benchmarking of OD estimation and prediction algorithms
- Author
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Antoniou C, Ciuffo B, Casas J, Barcelò J, CIPRIANI, ERNESTO, Montero L, Djukic T, Marzano V, NIGRO, Marialisa, Bullejos M, Perarnau J, Breen M, Punzo V, Toledo T., Antoniou, C., Ciuffo, B., Montero, L., Casas, J., Barcelo, J., Cipriani, E., Djukic, T., Marzano, V., Nigro, M., Bullejos, M., Perarnau, J., Breen, M., Punzo, Vincenzo, Toledo, T., Antoniou, C, Ciuffo, B, Casas, J, Barcelò, J, Cipriani, Ernesto, Montero, L, Djukic, T, Marzano, V, Nigro, Marialisa, Bullejos, M, Perarnau, J, Breen, M, and Punzo, V
- Subjects
traffic modeling ,Origin-Destination (OD) estimation - Abstract
In this research we describe the development of a common evaluation and benchmarking platform that has been developed within the framework of the European Union COST Action MULTITUDE. The main goal of this platform is to provide a testbed in which a number of algorithms can be implemented and tested under the same conditions. The objective is not to conclude that one approach is “best”, but to provide a support comparison in a variety of settings and conditions in order to help determine the particular situations and conditions under which one approach might behave more favorably than another. The design of the platform is presented, along with a detailed experimental design for the application of different OD estimation algorithms. The considered algorithms are then presented, along with a demonstration of the extensibility of the presented framework to accommodate additional data sources. The presented results demonstrate that the developed framework is capable of supporting the development, application and testing of a wide range of algorithms. First, both off-line/planning level algorithms (like the Bilevel-DUE) and on-line algorithms (like that SPSA AD-PI and the KFX2) are presented.
- Published
- 2014
8. Parallelization of the numerical simulation of motion of deformable objects within fluid domain on a GPU device
- Author
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Djukic, T., primary and Filipovic, N., additional
- Published
- 2018
- Full Text
- View/download PDF
9. Improving adaptation and interpretability of a short-term traffic forecasting system
- Author
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Mena-Yedra, R., Casas, J., Djukic, T., Ricard Gavaldà, Universitat Politècnica de Catalunya. Departament de Ciències de la Computació, and Universitat Politècnica de Catalunya. LARCA - Laboratori d'Algorísmia Relacional, Complexitat i Aprenentatge
- Subjects
Informàtica::Intel·ligència artificial::Aprenentatge automàtic [Àrees temàtiques de la UPC] ,Machine learning ,Aprenentatge automàtic ,Enginyeria civil::Infraestructures i modelització dels transports::Trànsit [Àrees temàtiques de la UPC] ,Intelligent transportation systems ,Circulació -- Previsió ,Traffic flow -- Forecasting ,Sistemes de transport intel.ligent - Abstract
Traffic management is being more important than ever, especially in overcrowded big cities with over-pollution problems and with new unprecedented mobility changes. In this scenario, road-traffic prediction plays a key role within Intelligent Transportation Systems, allowing traffic managers to be able to anticipate and take the proper decisions. This paper aims to analyse the situation in a commercial real-time prediction system with its current problems and limitations. The analysis unveils the trade-off between simple parsimonious models and more complex models. Finally, we propose an enriched machine learning framework, Adarules, for the traffic prediction in real-time facing the problem as continuously incoming data streams with all the commonly occurring problems in such volatile scenario, namely changes in the network infrastructure and demand, new detection stations or failure ones, among others. The framework is also able to infer automatically the most relevant features to our end-task, including the relationships within the road network. Although the intention with the proposed framework is to evolve and grow with new incoming big data, however there is no limitation in starting to use it without any prior knowledge as it can starts learning the structure and parameters automatically from data. We test this predictive system in different real-work scenarios, and evaluate its performance integrating a multi-task learning paradigm for the sake of the traffic prediction task.
- Published
- 2017
10. Eindrapport Evaluatie praktijkproef Amsterdam IN CAR - Perceel evenementen verkeer
- Author
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Jonkers, E., Wilmink, I.R., Jobsis, A., Djukic, T., Ark, E.J. van, Duijnisveld, M.A.G., and Haanstra, R.
- Subjects
Urban Mobility & Environment ,SUMS - Sustainable Urban Mobility and Safety ,Traffic ,Urbanisation ,ELSS - Earth, Life and Social Sciences ,Mobility & Logistics - Abstract
De Praktijkproef Amsterdam (PPA) is een grootschalige test waarin innovatieve technieken
- Published
- 2016
11. Eindrapport Evaluatie praktijkproef Amsterdam IN CAR - Perceel regulier verkeer
- Author
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Wilmink, I.R., Jonkers, E., Jobsis, A., Djukic, T., Ark, E.J. van, Duijnisveld, M.A.G., and Haanstra, R.
- Subjects
Urban Mobility & Environment ,SUMS - Sustainable Urban Mobility and Safety ,Traffic ,Urbanisation ,ELSS - Earth, Life and Social Sciences ,Mobility & Logistics - Published
- 2016
12. Advanced Traffic Data for Dynamic Origin-Destination Demand Estimation: State of the Art and Benchmark Study
- Author
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Djukic, T., Barcelo, J., Bullejos, M., Montero, L., Cipriani, E., Van Lint, J.W.C., and Hoogendoorn, S.P.
- Abstract
In this paper, the use of advanced traffic data is discussed to contribute to the ongoing debate about their applications in dynamic origin-destination (OD) estimation. This is done by discussing the advantages and disadvantages of traffic data with support of the findings of a benchmark study. The benchmark framework is designed to assess the performance of the dynamic OD estimation methods using different traffic data. Results show that despite the use of traffic condition data to identify traffic regime, the use of unreliable prior OD demand has a strong influence on estimation ability. The greatest estimation occurs when the prior OD demand information is aligned with the real traffic state or omitted and using information from automatic vehicle identification (AVI) measurements to establish accurate and meaningful values of OD demand. A common feature observed by methods in this paper indicates that advanced traffic data require more research attention and new techniques to turn them into usable information.
- Published
- 2015
13. Methodology for efficient real time OD demand estimation on large scale networks
- Author
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Djukic, T., Van Lint, J.W.C., and Hoogendoorn, S.P.
- Abstract
In previous work, we have explored the idea of dimensionality reduction and approximation of OD demand based on principal component analysis (PCA). In particular, we have shown how we can apply PCA to linearly transform the high dimensional OD matrices into the lower dimensional space without significant loss of accuracy. Next, we have defined a new transformed set of variables (demand principal components) that is used to represent the OD demand in lower dimensional space. These new variables are defined as state variable in a novel reduced state space model for real time estimation of OD demand. In this paper, we review previous work and continue this line of research. Based on the previous results, we demonstrate the quality improvement of OD estimates using this new formulation and a so-called, ’colored’ Kalman filter approach for OD estimation, in which correlated observation noise is accounted. Moreover, we provide a thorough analysis of the model performance and computational efficiency using real data from a large network, and method for obtaining a reduced set of state variables.
- Published
- 2014
14. Dynamic OD demand estimation and prediction for dynamic traffic management
- Author
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Djukic, T., Van Lint, J.W.C., and Hoogendoorn, S.P.
- Subjects
PCA ,dynamic origin-destination (OD) demand ,real-time estimation ,structural similarity ,benchmarking framework ,large-scale networks ,dynamic traffic management - Abstract
Dynamic origin-destination (OD) demand is important input to many simulation models applied within dynamic traffic management systems (DTMS) for predicting traffic states on the network. The inability to provide high-quality dynamic OD demand estimates makes prediction with simulation models simply impossible, irrespective of how well these models have been calibrated. This thesis presents methods regarding the provision of efficient and reliable dynamic OD demand information for DTMS applications.
- Published
- 2014
- Full Text
- View/download PDF
15. A summary of results in modeling plaque formation and development, cochlea mechanics and vestibular disorders
- Author
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Filipovic, N., primary, Radovic, M., additional, Isailovic, V., additional, Milosevic, Z., additional, Nikolic, D., additional, Saveljic, I., additional, Nikolic, M., additional, Djukic, T., additional, Cirkovic-Andjelkovic, B., additional, Exarchos, T., additional, Meunier, N., additional, Teng, Z., additional, Fotiadis, D., additional, Böhnke, F., additional, and Parodi, O., additional
- Published
- 2016
- Full Text
- View/download PDF
16. Advanced Traffic Data for Dynamic Origin-Destination Demand Estimation: State of the Art and Benchmark Study
- Author
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Djukic, T. (author), Barcelo, J. (author), Bullejos, M. (author), Montero, L. (author), Cipriani, E. (author), Van Lint, J.W.C. (author), Hoogendoorn, S.P. (author), Djukic, T. (author), Barcelo, J. (author), Bullejos, M. (author), Montero, L. (author), Cipriani, E. (author), Van Lint, J.W.C. (author), and Hoogendoorn, S.P. (author)
- Abstract
In this paper, the use of advanced traffic data is discussed to contribute to the ongoing debate about their applications in dynamic origin-destination (OD) estimation. This is done by discussing the advantages and disadvantages of traffic data with support of the findings of a benchmark study. The benchmark framework is designed to assess the performance of the dynamic OD estimation methods using different traffic data. Results show that despite the use of traffic condition data to identify traffic regime, the use of unreliable prior OD demand has a strong influence on estimation ability. The greatest estimation occurs when the prior OD demand information is aligned with the real traffic state or omitted and using information from automatic vehicle identification (AVI) measurements to establish accurate and meaningful values of OD demand. A common feature observed by methods in this paper indicates that advanced traffic data require more research attention and new techniques to turn them into usable information., Transport & Planning, Civil Engineering and Geosciences
- Published
- 2015
17. Numerical simulation of isolation of cancer cells in a microfluidic chip
- Author
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Djukic, T, primary, Topalovic, M, additional, and Filipovic, N, additional
- Published
- 2015
- Full Text
- View/download PDF
18. Methodology for efficient real time OD demand estimation on large scale networks
- Author
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Djukic, T. (author), Van Lint, J.W.C. (author), Hoogendoorn, S.P. (author), Djukic, T. (author), Van Lint, J.W.C. (author), and Hoogendoorn, S.P. (author)
- Abstract
In previous work, we have explored the idea of dimensionality reduction and approximation of OD demand based on principal component analysis (PCA). In particular, we have shown how we can apply PCA to linearly transform the high dimensional OD matrices into the lower dimensional space without significant loss of accuracy. Next, we have defined a new transformed set of variables (demand principal components) that is used to represent the OD demand in lower dimensional space. These new variables are defined as state variable in a novel reduced state space model for real time estimation of OD demand. In this paper, we review previous work and continue this line of research. Based on the previous results, we demonstrate the quality improvement of OD estimates using this new formulation and a so-called, ’colored’ Kalman filter approach for OD estimation, in which correlated observation noise is accounted. Moreover, we provide a thorough analysis of the model performance and computational efficiency using real data from a large network, and method for obtaining a reduced set of state variables., Transport and Planning, Civil Engineering and Geosciences
- Published
- 2014
19. A framework for the benchmarking of OD estimation and prediction algorithms
- Author
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Antoniou, A. (author), Ciuffo, B. (author), Montero, L. (author), Casas, J. (author), Barcelo, J. (author), Cipriani, E. (author), Djukic, T. (author), Marzano, V. (author), Nigro, M. (author), Bullejos, M. (author), Perarnau, J. (author), Breen, M. (author), Punzo, V. (author), Toledo, T. (author), Antoniou, A. (author), Ciuffo, B. (author), Montero, L. (author), Casas, J. (author), Barcelo, J. (author), Cipriani, E. (author), Djukic, T. (author), Marzano, V. (author), Nigro, M. (author), Bullejos, M. (author), Perarnau, J. (author), Breen, M. (author), Punzo, V. (author), and Toledo, T. (author)
- Abstract
In this research we describe the development of a common evaluation and benchmarking platform that has been developed within the framework of the European Union COST Action MULTITUDE. The main goal of this platform is to provide a testbed in which a number of algorithms can be implemented and tested under the same conditions. The objective is not to conclude that one approach is “best”, but to provide a support comparison in a variety of settings and conditions in order to help determine the particular situations and conditions under which one approach might behave more favorably than another. The design of the platform is presented, along with a detailed experimental design for the application of different OD estimation algorithms. The considered algorithms are then presented, along with a demonstration of the extensibility of the presented framework to accommodate additional data sources. The presented results demonstrate that the developed framework is capable of supporting the development, application and testing of a wide range of algorithms. First, both off-line/planning level algorithms (like the Bilevel-DUE) and on-line algorithms (like that SPSA AD-PI and the KFX2) are presented., Transport and Planning, Civil Engineering and Geosciences
- Published
- 2014
20. Dynamic OD demand estimation and prediction for dynamic traffic management
- Author
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Djukic, T. (author) and Djukic, T. (author)
- Abstract
Dynamic origin-destination (OD) demand is important input to many simulation models applied within dynamic traffic management systems (DTMS) for predicting traffic states on the network. The inability to provide high-quality dynamic OD demand estimates makes prediction with simulation models simply impossible, irrespective of how well these models have been calibrated. This thesis presents methods regarding the provision of efficient and reliable dynamic OD demand information for DTMS applications., Transport & Planning, Civil Engineering and Geosciences
- Published
- 2014
21. Efficient real time OD matrix estimation based on Principal Component Analysis
- Author
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Djukic, T., Flötteröd, Gunnar, Van Lint, H., Hoogendoorn, S., Djukic, T., Flötteröd, Gunnar, Van Lint, H., and Hoogendoorn, S.
- Abstract
In this paper we explore the idea of dimensionality reduction and approximation of OD demand based on principal component analysis (PCA). First, we show how we can apply PCA to linearly transform the high dimensional OD matrices into the lower dimensional space without significant loss of accuracy. Next, we define a new transformed set of variables (demand principal components) that is used to represent the fixed structure of OD matrices in lower dimensional space. We update online these new variables from traffic counts in a novel reduced state space model for real time estimation of OD demand. Through an example we demonstrate the quality improvement of OD estimates using this new formulation and a so-called 'colored' Kalman filter over the standard Kalman filter approach for OD estimation, when correlated measurement noise is accounted due to reduction of variables in state vector., QC 20130124
- Published
- 2012
- Full Text
- View/download PDF
22. Efficient real time OD matrix estimation based on principal component analysis
- Author
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Djukic, T. (author), Flötteröd, G. (author), Van Lint, H. (author), Hoogendoorn, S.P. (author), Djukic, T. (author), Flötteröd, G. (author), Van Lint, H. (author), and Hoogendoorn, S.P. (author)
- Abstract
In this paper we explore the idea of dimensionality reduction and approximation of OD demand based on principal component analysis (PCA). First, we show how we can apply PCA to linearly transform the high dimensional OD matrices into the lower dimensional space without significant loss of accuracy. Next, we define a new transformed set of variables (demand principal components) that is used to represent the OD demand in lower dimensional space. We use these new variables as state variable in a novel reduced state space model for real time estimation of OD demand. Through an example we demonstrate the quality improvement of OD estimates using this new formulation and a so-called ‘colored’ Kalman filter over the standard Kalman filter approach for OD estimation, when correlated measurement noise is accounted due to reduction of variables in state vector., Transport & Planning, Civil Engineering and Geosciences
- Published
- 2012
23. Numerical and experimental LDL transport through arterial wall
- Author
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Filipovic, N., primary, Zivic, M., additional, Obradovic, M., additional, Djukic, T., additional, Markovic, Z., additional, and Rosic, M., additional
- Published
- 2013
- Full Text
- View/download PDF
24. Insulin Resistance in Non-Obese Women with Polycystic Ovary Syndrome: Relation to Byproducts of Oxidative Stress
- Author
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Macut, D., primary, Simic, T., additional, Lissounov, A., additional, Pljesa-Ercegovac, M., additional, Bozic, I., additional, Djukic, T., additional, Bjekic-Macut, J., additional, Matic, M., additional, Petakov, M., additional, Suvakov, S., additional, Damjanovic, S., additional, and Savic-Radojevic, A., additional
- Published
- 2011
- Full Text
- View/download PDF
25. Genetic diseases and molecular genetics
- Author
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Stekrova, J., primary, Reiterova, J., additional, Elisakova, V., additional, Merta, M., additional, Kohoutova, M., additional, Tesar, V., additional, Suvakov, S., additional, Damjanovic, T., additional, Dimkovic, N., additional, Pljesa, S., additional, Savic-Radojevic, A., additional, Pljesa-Ercegovac, M., additional, Matic, M., additional, Djukic, T., additional, Coric, V., additional, Simic, T., additional, Gigante, M., additional, d'Altilia, M., additional, Montemurno, E., additional, Schirinzi, A., additional, Bruno, F., additional, Netti, G. S., additional, Ranieri, E., additional, Stallone, G., additional, Infante, B., additional, Grandaliano, G., additional, Gesualdo, L., additional, Maritati, F., additional, Alberici, F., additional, Bonatti, F., additional, Oliva, E., additional, Sinico, R. A., additional, Moroni, G., additional, Leoni, A., additional, Gregorini, G., additional, Jeannin, G., additional, Possenti, S., additional, Tumiati, B., additional, Grasselli, C., additional, Brugnano, R., additional, Salvarani, C., additional, Fraticelli, P., additional, Pavone, L., additional, Pesci, A., additional, Guida, G., additional, Neri, T. M., additional, Buzio, C., additional, Malerba, G., additional, Martorana, D., additional, Vaglio, A., additional, Santucci, L., additional, Candiano, G., additional, Cremasco, D., additional, Tosetto, E., additional, Del Prete, D., additional, Bruschi, M., additional, Ghiggeri, G. M., additional, Anglani, F., additional, Rainone, F., additional, Soldati, L., additional, Terranegra, A., additional, Arcidiacono, T., additional, Aloia, A., additional, Dogliotti, E., additional, Vezzoli, G., additional, Maruniak-Chudek, I., additional, Zenker, M., additional, Chudek, J., additional, Obeidova, L., additional, Stekrova, J., additional, Lnenicka, P., additional, Iwanitskiy, L. V., additional, Krasnova, T. N., additional, Samokhodskaya, L. M., additional, Bernasconi, A. R., additional, Albarracin, L., additional, Liste, A. A., additional, Politei, J. M., additional, Heguilen, R. M., additional, Kaito, H., additional, Nozu, K., additional, Nakanishi, K., additional, Hashimura, Y., additional, Shima, Y., additional, Ninchoji, T., additional, Yoshikawa, N., additional, Iijima, K., additional, Matsuo, M., additional, Hur, E., additional, Gungor, O., additional, Bozkurt, D., additional, Bozgul, S. M. K., additional, Caliskan, H., additional, Dusunur, F., additional, Basci, A., additional, Akcicek, F., additional, Duman, S., additional, Li, Y., additional, Wang, C., additional, Nan, L., additional, Hruskova, Z., additional, Brabcova, I., additional, Lanska, V., additional, Honsova, E., additional, Hanzal, V., additional, Borovicka, V., additional, Rysava, R., additional, Zachoval, R., additional, Viklicky, O., additional, Miltenberger-Miltenyi, G., additional, Almeida, E., additional, Calado, J., additional, Carvalho, F., additional, Pereira, S., additional, Teixeira, C., additional, Jorge, S., additional, Viana, H., additional, Gomes da Costa, A., additional, Yang, C.-S., additional, Tseng, M.-H., additional, Yang, S.-S., additional, and Lin, S.-H., additional
- Published
- 2011
- Full Text
- View/download PDF
26. Software for optimized virtual stenting of patient-specific coronary arteries reconstructed from angiography images.
- Author
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Djukic T, Tomasevic S, Saveljic I, Vukicevic A, Stankovic G, and Filipovic N
- Subjects
- Humans, Models, Cardiovascular, Male, Imaging, Three-Dimensional methods, Coronary Stenosis diagnostic imaging, Coronary Stenosis surgery, Coronary Stenosis physiopathology, Coronary Stenosis therapy, Stents, Software, Coronary Vessels diagnostic imaging, Coronary Vessels surgery, Coronary Vessels physiopathology, Coronary Angiography
- Abstract
Detection of clinically relevant stenosis within coronary arteries as well as planning of treatment (stent implantation) are important topics in clinical cardiology. In this study a thorough methodology for virtual stenting assistance is proposed, that includes the 3D reconstruction of a patient-specific coronary artery from X-ray angiography images, hemodynamic simulations of blood flow, computation of a fractional flow reserve (FFR) equivalent, virtual stenting procedure and an optimization of the virtual stenting, by considering not only the value of computed FFR, but also the low and high WSS regions and the state of arterial wall after stenting. The evaluation of the proposed methodology is performed in two ways: the calculated values of FFR are compared with clinically measured values; and the results obtained for automated optimized virtual stenting are compared with virtual stenting performed manually by an expert clinician for the whole considered dataset. The agreement of the results in almost all cases demonstrates the accuracy of the proposed approach, and the small discrepancies only show the capabilities and benefits this approach can offer. The automated optimized virtual stenting technique can provide information about the most optimal stent position that ensures the maximum achievable FFR, while also considering the distribution of WSS and the state of arterial wall. The proposed methodology and developed software can therefore be used as a noninvasive method for planning of optimal patient-specific treatment strategies before invasive procedures and thus help to improve the clinical outcome of interventions and provide better treatment planning adapted to the particular patient., Competing Interests: Declaration of competing interest None Declared., (Copyright © 2024 Elsevier Ltd. All rights reserved.)
- Published
- 2024
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27. Software that combines deep learning, 3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging.
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Tomasevic S, Anic M, Arsic B, Gakovic B, Filipovic N, and Djukic T
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- Humans, Hemodynamics physiology, Carotid Artery Diseases diagnostic imaging, Deep Learning, Carotid Arteries diagnostic imaging, Software, Imaging, Three-Dimensional methods, Ultrasonography methods
- Abstract
Background: Ultrasound is one of the non-invasive techniques that are used in clinical diagnostics of carotid artery disease., Objective: This paper presents software methodology that can be used in combination with this imaging technique to provide additional information about the state of patient-specific artery., Methods: Overall three modules are combined within the proposed methodology. A clinical dataset is used within the deep learning module to extract the contours of the carotid artery. This data is then used within the second module to perform the three-dimensional reconstruction of the geometry of the carotid bifurcation and ultimately this geometry is used within the third module, where the hemodynamic analysis is performed. The obtained distributions of hemodynamic quantities enable a more detailed analysis of the blood flow and state of the arterial wall and could be useful to predict further progress of present abnormalities in the carotid bifurcation., Results: The performance of the deep learning module was demonstrated through the high values of relevant common classification metric parameters. Also, the accuracy of the proposed methodology was shown through the validation of results for the reconstructed parameters against the clinically measured values., Conclusion: The presented methodology could be used in combination with standard clinical ultrasound examination to quickly provide additional quantitative and qualitative information about the state of the patient's carotid bifurcation and thus ensure a treatment that is more adapted to the specific patient.
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- 2024
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28. Sandwich ELISA for the Quantification of Nucleocapsid Protein of SARS-CoV-2 Based on Polyclonal Antibodies from Two Different Species.
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Mladenovic Stokanic M, Simovic A, Jovanovic V, Radomirovic M, Udovicki B, Krstic Ristivojevic M, Djukic T, Vasovic T, Acimovic J, Sabljic L, Lukic I, Kovacevic A, Cujic D, Gnjatovic M, Smiljanic K, Stojadinovic M, Radosavljevic J, Stanic-Vucinic D, Stojanovic M, Rajkovic A, and Cirkovic Velickovic T
- Subjects
- Animals, Humans, Rabbits, SARS-CoV-2, Antibodies, Enzyme-Linked Immunosorbent Assay, Nucleocapsid Proteins, COVID-19 diagnosis
- Abstract
In this study, a cost-effective sandwich ELISA test, based on polyclonal antibodies, for routine quantification SARS-CoV-2 nucleocapsid (N) protein was developed. The recombinant N protein was produced and used for the production of mice and rabbit antisera. Polyclonal N protein-specific antibodies served as capture and detection antibodies. The prototype ELISA has LOD 0.93 ng/mL and LOQ 5.3 ng/mL, with a linear range of 1.52-48.83 ng/mL. N protein heat pretreatment (56 °C, 1 h) decreased, while pretreatment with 1% Triton X-100 increased analytical ELISA sensitivity. The diagnostic specificity of ELISA was 100% (95% CI, 91.19-100.00%) and sensitivity was 52.94% (95% CI, 35.13-70.22%) compared to rtRT-PCR (Ct < 40). Profoundly higher sensitivity was obtained using patient samples mostly containing Wuhan-similar variants (Wuhan, alpha, and delta), 62.50% (95% CI, 40.59 to 81.20%), in comparison to samples mostly containing Wuhan-distant variants (Omicron) 30.00% (6.67-65.25%). The developed product has relatively high diagnostic sensitivity in relation to its analytical sensitivity due to the usage of polyclonal antibodies from two species, providing a wide repertoire of antibodies against multiple N protein epitopes. Moreover, the fast, simple, and inexpensive production of polyclonal antibodies, as the most expensive assay components, would result in affordable antigen tests.
- Published
- 2023
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29. GPX3 Variant Genotype Affects the Risk of Developing Severe Forms of COVID-19.
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Markovic M, Ranin J, Bukumiric Z, Jerotic D, Savic-Radojevic A, Pljesa-Ercegovac M, Djukic T, Ercegovac M, Asanin M, Milosevic I, Stevanovic G, Simic T, Coric V, and Matic M
- Subjects
- Humans, SARS-CoV-2, Genotype, Polymorphism, Genetic, Fibrinogen genetics, Glutathione Peroxidase genetics, Glutathione Transferase genetics, COVID-19 genetics
- Abstract
In SARS-CoV-2 infection, excessive activation of the immune system intensively increases reactive oxygen species levels, causing harmful hyperinflammatory and oxidative state cumulative effects which may contribute to COVID-19 severity. Therefore, we assumed that antioxidant genetic profile, independently and complemented with laboratory markers, modulates COVID-19 severity. The study included 265 COVID-19 patients. Polymorphism of G STM1 , GSTT1 , Nrf2 rs6721961 , GSTM3 rs1332018 , GPX3 rs8177412, GSTP1 rs1695 , GSTO1 rs4925 , GSTO2 rs156697 , SOD2 rs4880 and GPX1 rs1050450 genes was determined with appropriate PCR-based methods. Inflammation (interleukin-6, CRP, fibrinogen, ferritin) and organ damage (urea, creatinine, transaminases and LDH) markers, complete blood count and coagulation status (d-dimer, fibrinogen) were measured. We found significant association for COVID-19 progression for patients with lymphocytes below 1.0 × 10
9 /L (OR = 2.97, p = 0.002). Increased IL-6 and CRP were also associated with disease progression (OR = 8.52, p = 0.001, and OR = 10.97, p < 0.001, respectively), as well as elevated plasma AST and LDH (OR = 2.25, p = 0.021, and OR = 4.76, p < 0.001, respectively). Of all the examined polymorphisms, we found significant association with the risk of developing severe forms of COVID-19 for GPX3 rs8177412 variant genotype (OR = 2.42, p = 0.032). This finding could be of particular importance in the future, complementing other diagnostic tools for prediction of COVID-19 disease course.- Published
- 2023
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30. Transcriptome from Paired Samples Improves the Power of Comprehensive COVID-19 Host-Viral Characterization.
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Milicevic O, Loncar A, Abazovic D, Vukcevic M, Despot D, Djukic T, Djukic V, Milovanovic A, Panic N, Plecic N, and Banko A
- Subjects
- Humans, Transcriptome, Gene Expression Profiling, Computational Biology, SARS-CoV-2 genetics, COVID-19 genetics
- Abstract
Previous transcriptome profiling studies showed significantly upregulated genes and altered biological pathways in acute COVID-19. However, changes in the transcriptional signatures during a defined time frame are not yet examined and described. The aims of this study included viral metagenomics and evaluation of the total expression in time-matched and tissue-matched paired COVID-19 samples with the analysis of the host splicing profile to reveal potential therapeutic targets. Prospective analysis of paired nasopharyngeal swabs (NPS) and blood (BL) samples from 18 COVID-19 patients with acute and resolved infection performed using Kallisto, Suppa2, Centrifuge, EdgeR, PantherDB, and L1000CDS2 tools. In NPS, we discovered 6 genes with changed splicing and 40 differentially expressed genes (DEG) that yielded 88 altered pathways. Blood samples yielded 15 alternatively spliced genes. Although the unpaired DEG analysis failed, pairing identified 78 genes and 242 altered pathways with meaningful clinical interpretation and new candidate drug combinations with up to 65% overlap. Metagenomics analyses showed SARS-CoV-2 dominance during and after the acute infection, with a significant reduction in NPS (0.008 vs. 0.002, p = 0.019). Even though both NPS and BL give meaningful insights into expression changes, this is the first demonstration of how the power of blood analysis is vastly maximized by pairing. The obtained results essentially showed that pairing is a determinant between a failed and a comprehensive study. Finally, the bioinformatics results prove to be a comprehensive tool for full-action insights, drug development, and infectious disease research when designed properly.
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- 2023
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31. Antioxidant Genetic Variants Modify Echocardiography Indices in Long COVID.
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Asanin M, Ercegovac M, Krljanac G, Djukic T, Coric V, Jerotic D, Pljesa-Ercegovac M, Matic M, Milosevic I, Viduljevic M, Stevanovic G, Ranin J, Simic T, Bukumiric Z, and Savic-Radojevic A
- Subjects
- Humans, Post-Acute COVID-19 Syndrome, NF-E2-Related Factor 2, Glutathione Peroxidase genetics, Glutathione Peroxidase metabolism, Glutathione Peroxidase GPX1, Superoxide Dismutase metabolism, Echocardiography, Antioxidants, COVID-19 diagnostic imaging, COVID-19 genetics
- Abstract
Although disturbance of redox homeostasis might be responsible for COVID-19 cardiac complications, this molecular mechanism has not been addressed yet. We have proposed modifying the effects of antioxidant proteins polymorphisms (superoxide dismutase 2 ( SOD2 ), glutathione peroxidase 1 ( GPX1 ), glutathione peroxidase 3 ( GPX3 ) and nuclear factor erythroid 2-related factor 2, ( Nrf2 )) in individual susceptibility towards the development of cardiac manifestations of long COVID-19. The presence of subclinical cardiac dysfunction was assessed via echocardiography and cardiac magnetic resonance imaging in 174 convalescent COVID-19 patients. SOD2, GPX1 , GPX3 and Nrf2 polymorphisms were determined via the appropriate PCR methods. No significant association of the investigated polymorphisms with the risk of arrhythmia development was found. However, the carriers of variant GPX1 *T, GPX3 *C or Nrf2 *A alleles were more than twice less prone for dyspnea development in comparison with the carriers of the referent ones. These findings were even more potentiated in the carriers of any two variant alleles of these genes (OR = 0.273, and p = 0.016). The variant GPX alleles were significantly associated with left atrial and right ventricular echocardiographic parameters, specifically LAVI, RFAC and RV-EF ( p = 0.025, p = 0.009, and p = 0.007, respectively). Based on the relation between the variant SOD2 *T allele and higher levels of LV echocardiographic parameters, EDD, LVMI and GLS, as well as troponin T ( p = 0.038), it can be proposed that recovered COVID-19 patients, who are the carriers of this genetic variant, might have subtle left ventricular systolic dysfunction. No significant association between the investigated polymorphisms and cardiac disfunction was observed when cardiac magnetic resonance imaging was performed. Our results on the association between antioxidant genetic variants and long COVID cardiological manifestations highlight the involvement of genetic propensity in both acute and long COVID clinical manifestations.
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- 2023
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32. The Polymorphisms in GSTO Genes ( GSTO1 rs4925, GSTO2 rs156697, and GSTO2 rs2297235) Affect the Risk for Testicular Germ Cell Tumor Development: A Pilot Study.
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Petrovic M, Simic T, Djukic T, Radic T, Savic-Radojevic A, Zekovic M, Durutovic O, Janicic A, Milojevic B, Kajmakovic B, Zivkovic M, Bojanic N, Bumbasirevic U, and Coric V
- Abstract
Members of the omega class of glutathione transferases (GSTs), GSTO1, and GSTO2, catalyze a range of reduction reactions as a part of the antioxidant defense system. Polymorphisms of genes encoding antioxidant proteins and the resultant altered redox profile have already been associated with the increased risk for testicular germ cell cancer (GCT) development. The aim of this pilot study was to assess the individual, combined, haplotype, and cumulative effect of GSTO1 rs4925, GSTO2 rs156697, and GSTO2 rs2297235 polymorphisms with the risk for testicular GCT development, in 88 patients and 96 matched controls, through logistic regression models. We found that carriers of the GSTO1 *C/A*C/C genotype exhibited an increased risk for testicular GCT development. Significant association with increased risk of testicular GCT was observed in carriers of GSTO2 rs2297235*A/G*G/G genotype, and in carriers of combined GSTO2 rs156697*A/G*G/G and GSTO2 rs2297235*A/G*G/G genotypes. Haplotype H7 ( GSTO1 rs4925*C/ GSTO2 rs2297235*G/ GSTO2 rs156697*G) exhibited higher risk of testicular GCT, however, without significant association ( p > 0.05). Finally, 51% of testicular GCT patients were the carriers of all three risk-associated genotypes, with 2.5-fold increased cumulative risk. In conclusion, the results of this pilot study suggest that GSTO polymorphisms might affect the protective antioxidant activity of GSTO isoenzymes, therefore predisposing susceptible individuals toward higher risk for testicular GCT development.
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- 2023
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33. The GSTO2 (rs156697) Polymorphism Modifies Diabetic Nephropathy Risk.
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Pavlovic D, Ristic S, Djukanovic L, Matic M, Kovacevic M, Pljesa-Ercegovac M, Hadzi-Djokic J, Savic-Radojevic A, and Djukic T
- Subjects
- Humans, Genetic Predisposition to Disease, Case-Control Studies, Glutathione Transferase genetics, Genotype, Glycation End Products, Advanced, Risk Factors, Diabetes Mellitus, Type 2 complications, Diabetes Mellitus, Type 2 genetics, Diabetic Nephropathies genetics
- Abstract
Background and Objectives: In the development of type 2 diabetes mellitus (T2DM) and its complications, genetic and environmental factors play important roles. Diabetic nephropathy (DN), one of the major microangiopathic chronic diabetic complications, is associated with an increased risk of major cardiovascular events and all-cause mortality. The present study was designed to investigate the possible modifying effect of glutathione transferase polymorphisms (GSTM1, GSTT1, GSTP1 rs1138272/rs1695, GSTO1 rs4925 and GSTO2 rs156697) in the susceptibility to T2DM and diabetic nephropathy. Materials and Methods: GSTM1 and GSTT1 deletion polymorphisms were determined by multiplex PCR, whereas GSTO1, GSTO2, and GSTP1 polymorphisms were determined by the real-time PCR in 160 T2DM patients and 248 age- and gender-matched controls. Advanced glycation end products (AGEs) were measured by ELISA. Results: Among six investigated GST polymorphisms, a significant association between the GST genotypes and susceptibility for development of diabetes mellitus was found for the GSTM1, GSTT1, GSTP1 (rs1138272) and GSTO1 polymorphisms. When the GST genotypes’ distribution in diabetes patients was assessed in the subgroups with and without diabetic nephropathy, a significant association was found only for the GSTO2 rs156697 polymorphism. Diabetic patients, carriers of the GSTM1 null, GSTT1 null and variant GSTO1*AA genotypes, had significantly increased levels of AGEs in comparison with carriers of the GSTM1 active, GSTT1 active and referent GSTO1*CC genotypes (p < 0.001, p < 0.001, p = 0.004, respectively). Conclusions: The present study supports the hypothesis that GST polymorphisms modulate the risk of diabetes and diabetic nephropathy and influence the AGEs concentration, suggesting the potential regulatory role of these enzymes in redox homeostasis disturbances.
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- 2023
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34. Polymorphisms of Antioxidant Enzymes SOD2 (rs4880) and GPX1 (rs1050450) Are Associated with Bladder Cancer Risk or Its Aggressiveness.
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Nikic P, Dragicevic D, Jerotic D, Savic S, Djukic T, Stankovic B, Kovacevic L, Simic T, and Matic M
- Subjects
- Humans, Middle Aged, Aged, Glutathione Peroxidase genetics, Glutathione Peroxidase metabolism, Glutathione Peroxidase GPX1, Reactive Oxygen Species, Polymorphism, Single Nucleotide genetics, Superoxide Dismutase genetics, Superoxide Dismutase metabolism, Genotype, Free Radicals, Genetic Predisposition to Disease, Case-Control Studies, Antioxidants, Urinary Bladder Neoplasms genetics
- Abstract
Background and Objectives: Oxidative stress induced by increased reactive oxygen species (ROS) production plays an important role in carcinogenesis. The entire urinary tract is continuously exposed to numerous potentially mutagenic environmental agents which generate ROS during their biotransformation. In first line defense against free radicals, antioxidant enzymes superoxide dismutase (SOD2) and glutathione peroxidase (GPX1) both have essential roles. Altered enzyme activity and decreased ability of neutralizing free oxygen radicals as a consequence of genetic polymorphisms in genes encoding these two enzymes are well described so far. This study aimed to investigate the association of GPX1 (rs1050450) and SOD2 (rs4880) genetic variants with the urothelial bladder cancer (UBC) risk independently and in combination with smoking. Furthermore, we aimed to determine whether the UBC stage and pathological grade were influenced by GPX1 and SOD2 polymorphisms. Material and Methods: The study population included 330 patients with UBC (mean age 65 ± 10.3 years) and 227 respective controls (mean age 63.4 ± 7.9 years). Single nucleotide polymorphism (SNP) of GPX1 (rs1050450) was analyzed using the PCR-RFLP, while SOD2 (rs4880) SNP was analyzed using the q-PCR method. Results: Our results showed that UBC risk was significantly increased among carriers of at least one variant SOD2 Val allele compared to the SOD2 Ala16Ala homozygotes (OR = 1.55, p = 0.03). Moreover, this risk was even more pronounced in smokers with at least one variant SOD2 Val allele, since they have even 7.5 fold higher UBC risk (OR = 7.5, p < 0.001). Considering GPX1 polymorphism, we have not found an association with UBC risk. However, GPX1 genotypes distribution differed significantly according to the tumor stage (p ˂ 0.049) and pathohistological grade (p ˂ 0.018). Conclusion: We found that SOD2 genetic polymorphism is associated with the risk of UBC development independently and in combination with cigarette smoking. Furthermore, we showed that GPX1 genetic polymorphism is associated with the aggressiveness of the disease.
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- 2023
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35. SOD2 rs4880 and GPX1 rs1050450 polymorphisms do not confer risk of COVID-19, but influence inflammation or coagulation parameters in Serbian cohort.
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Jerotic D, Ranin J, Bukumiric Z, Djukic T, Coric V, Savic-Radojevic A, Todorovic N, Asanin M, Ercegovac M, Milosevic I, Pljesa-Ercegovac M, Stevanovic G, Matic M, and Simic T
- Subjects
- Blood Coagulation, Humans, Inflammation genetics, Polymorphism, Single Nucleotide, Serbia, COVID-19 enzymology, COVID-19 genetics, Glutathione Peroxidase genetics, Superoxide Dismutase genetics
- Abstract
Objectives: Due to the role of oxidative stress in the pathophysiology of COVID-19, it is biologically plausible that inter-individual differences in patients' clinical manifestations might be affected by antioxidant genetic profile. The aim of our study was to assess the distribution of antioxidant genetic polymorphisms Nrf2 rs6721961, SOD2 rs4880, GPX1 rs1050450, GPX3 rs8177412, and GSTP1 (rs1695 and rs1138272) haplotype in COVID-19 patients and controls, with special emphasis on their association with laboratory biochemical parameters. Methods: The antioxidant genetic polymorphisms were assessed by appropriate PCR methods in 229 COVID-19 patients and 229 matched healthy individuals. Results: Among examined polymorphisms, only GSTP1 haplotype was associated with COVID-19 risk ( p = 0.009). Polymorphisms of SOD2 and GPX1 influenced COVID-19 patients' laboratory biochemical profile: SOD2 *Val allele was associated with increased levels of fibrinogen ( p = 0.040) and ferritin ( p = 0.033), whereas GPX1 *Leu allele was associated with D-dimmer ( p = 0.009). Discussion: Our findings regarding the influence of SOD2 and GPX1 polymorphisms on inflammation and coagulation parameters might be of clinical importance. If confirmed in larger cohorts, these developments could provide a more personalized approach for better recognition of patients prone to thrombosis and those for the need of targeted antiox-idant therapy.
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- 2022
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36. Antioxidant Genetic Profile Modifies Probability of Developing Neurological Sequelae in Long-COVID.
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Ercegovac M, Asanin M, Savic-Radojevic A, Ranin J, Matic M, Djukic T, Coric V, Jerotic D, Todorovic N, Milosevic I, Stevanovic G, Simic T, Bukumiric Z, and Pljesa-Ercegovac M
- Abstract
Understanding the sequelae of COVID-19 is of utmost importance. Neuroinflammation and disturbed redox homeostasis are suggested as prevailing underlying mechanisms in neurological sequelae propagation in long-COVID. We aimed to investigate whether variations in antioxidant genetic profile might be associated with neurological sequelae in long-COVID. Neurological examination and antioxidant genetic profile (SOD2, GPXs and GSTs) determination, as well as, genotype analysis of Nrf2 and ACE2, were conducted on 167 COVID-19 patients. Polymorphisms were determined by the appropriate PCR methods. Only polymorphisms in GSTP1AB and GSTO1 were independently associated with long-COVID manifestations. Indeed, individuals carrying GSTP1 Val or GSTO1 Asp allele exhibited lower odds of long-COVID myalgia development, both independently and in combination. Furthermore, the combined presence of GSTP1 Ile and GSTO1 Ala alleles exhibited cumulative risk regarding long-COVID myalgia in carriers of the combined GPX1 LeuLeu/GPX3 CC genotype. Moreover, individuals carrying combined GSTM1-null/GPX1LeuLeu genotype were more prone to developing long-COVID "brain fog", while this probability further enlarged if the Nrf2 A allele was also present. The fact that certain genetic variants of antioxidant enzymes, independently or in combination, affect the probability of long-COVID manifestations, further emphasizes the involvement of genetic susceptibility when SARS-CoV-2 infection is initiated in the host cells, and also months after.
- Published
- 2022
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37. GSTO1 , GSTO2 and ACE2 Polymorphisms Modify Susceptibility to Developing COVID-19.
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Djukic T, Stevanovic G, Coric V, Bukumiric Z, Pljesa-Ercegovac M, Matic M, Jerotic D, Todorovic N, Asanin M, Ercegovac M, Ranin J, Milosevic I, Savic-Radojevic A, and Simic T
- Abstract
Based on the close relationship between dysregulation of redox homeostasis and immune response in SARS-CoV-2 infection, we proposed a possible modifying role of ACE2 and glutathione transferase omega ( GSTO ) polymorphisms in the individual propensity towards the development of clinical manifestations in COVID-19. The distribution of polymorphisms in ACE2 (rs4646116), GSTO1 (rs4925) and GSTO2 (rs156697) were assessed in 255 COVID-19 patients and 236 matched healthy individuals, emphasizing their individual and haplotype effects on disease development and severity. Polymorphisms were determined by the appropriate qPCR method. The data obtained showed that individuals carrying variant GSTO1 *AA and variant GSTO2 *GG genotypes exhibit higher odds of COVID-19 development, contrary to ones carrying referent alleles ( p = 0.044, p = 0.002, respectively). These findings are confirmed by haplotype analysis. Carriers of H2 haplotype, comprising GSTO1 *A and GSTO2 *G variant alleles were at 2-fold increased risk of COVID-19 development ( p = 0.002). Although ACE2 (rs4646116) polymorphism did not exhibit a statistically significant effect on COVID-19 risk ( p = 0.100), the risk of COVID-19 development gradually increased with the presence of each additional risk-associated genotype. Further studies are needed to clarify the specific roles of glutathione transferases omega in innate immune response and vitamin C homeostasis once the SARS-CoV-2 infection is initiated in the host cell.
- Published
- 2022
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38. The Polymorphisms of Genes Encoding Catalytic Antioxidant Proteins Modulate the Susceptibility and Progression of Testicular Germ Cell Tumor.
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Bumbasirevic U, Bojanic N, Pljesa-Ercegovac M, Zivkovic M, Djukic T, Zekovic M, Milojevic B, Kajmakovic B, Janicic A, Simic T, and Coric V
- Abstract
The simultaneous analysis of redox biomarkers and polymorphisms encoding for regulatory and catalytic antioxidant proteins was performed in order to evaluate their potential role in the development of testicular germ cell tumor (GCT), as well as the progression of the disease. NRF2 (rs6721961), GSTM3 (rs1332018), SOD2 (rs4880) and GPX3 (rs8177412) polymorphisms were assessed in 88 patients with testicular GCT (52 with seminoma) and 88 age-matched controls. The plasma levels of 8-hydroxy-2'-deoxyguanosine (8-OHdG), thiol groups and the plasma activity of glutathione peroxidase were measured. A significant association between variant GPX3 *TC+CC genotype and risk of overall testicular GCT, as well as seminoma development, was found. Moreover, carriers of variant SOD2 *TT genotype were at almost 3-fold increased risk of seminoma development. Interestingly, combined SOD2 *TT/ GPX3 *TC+CC genotype conferred a 7-fold higher risk for testicular GCT development. Finally, variant GSTM3 *AC+CC genotype was associated with a higher risk for the development of advanced diseased. The presence of assessed genetic variants was not associated with significantly higher levels of redox biomarkers in both testicular GCT patients, as well as in those diagnosed with seminoma. In conclusion, the polymorphic expression of certain antioxidant enzymes might affect susceptibility toward testicular GCT development, as well as the progression of the disease.
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- 2022
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39. Association of GSTO1, GSTO2, GSTP1, GPX1 and SOD2 polymorphism with primary open angle glaucoma.
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Sobot V, Stamenkovic M, Simic T, Jerotic D, Djokic M, Jaksic V, Bozic M, Milic J, Savic-Radojevic A, and Djukic T
- Subjects
- Aged, Aged, 80 and over, Case-Control Studies, Female, Genetic Association Studies, Genetic Predisposition to Disease, Genotyping Techniques, Glaucoma, Open-Angle diagnosis, Humans, Intraocular Pressure physiology, Male, Middle Aged, Real-Time Polymerase Chain Reaction, Glutathione Peroxidase GPX1, Glaucoma, Open-Angle genetics, Glutathione Peroxidase genetics, Glutathione S-Transferase pi genetics, Glutathione Transferase genetics, Polymorphism, Single Nucleotide genetics, Superoxide Dismutase genetics
- Abstract
It is becoming increasingly evident that oxidative stress has a supporting role in pathophysiology and progression of primary open angle glaucoma (POAG). The aim of our study was to assess the association between polymorphisms in genes encoding enzymes involved in redox homeostasis, mitochondrial superoxide dismutase (SOD2), glutathione peroxidase (GPX1) and glutathione transferases (GSTs) with susceptibility to POAG. Single nucleotide polymorphisms in GST omega (GSTO1rs4925, GSTO2 rs156697), pi 1 (GSTP1 rs1695), as well as GPX1 (rs1050450) and SOD2 (rs4880) were determined by quantitative polymerase chain reaction (qPCR) in 102 POAG patients and 302 respective controls. The risk for POAG development was noted in carriers of both GSTO2*GG and GSTO1*AA variant genotypes (OR = 8.21, p = 0.002). Individuals who carried GPX1*TT and SOD2*CC genotypes had also an increased risk of POAG development but without significance after Bonferroni multiple test correction (OR = 6.66, p = 0.005). The present study supports the hypothesis that in combination, GSTO1/GSTO2, modulate the risk of primary open angle glaucoma., (Copyright © 2021 Elsevier Ltd. All rights reserved.)
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- 2022
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40. GSTP1 and GSTM3 Variant Alleles Affect Susceptibility and Severity of COVID-19.
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Coric V, Milosevic I, Djukic T, Bukumiric Z, Savic-Radojevic A, Matic M, Jerotic D, Todorovic N, Asanin M, Ercegovac M, Ranin J, Stevanovic G, Pljesa-Ercegovac M, and Simic T
- Abstract
Based on the premise that oxidative stress plays an important role in severe acute respiratory syndrome coronavirus (SARS-CoV-2) infection, we speculated that variations in the antioxidant activities of different members of the glutathione S-transferase family of enzymes might modulate individual susceptibility towards development of clinical manifestations in COVID-19. The distribution of polymorphisms in cytosolic glutathione S-transferases GSTA1 , GSTM1 , GSTM3 , GSTP1 ( rs1695 and rs1138272 ), and GSTT1 were assessed in 207 COVID-19 patients and 252 matched healthy individuals, emphasizing their individual and cumulative effect in disease development and severity. GST polymorphisms were determined by appropriate PCR methods. Among six GST polymorphisms analyzed in this study, GSTP1 rs1695 and GSTM3 were found to be associated with COVID-19. Indeed, the data obtained showed that individuals carrying variant GSTP1 - Val allele exhibit lower odds of COVID-19 development ( p = 0.002), contrary to carriers of variant GSTM3-CC genotype which have higher odds for COVID-19 ( p = 0.024). Moreover, combined GSTP1 ( rs1138272 and rs1695 ) and GSTM3 genotype exhibited cumulative risk regarding both COVID-19 occurrence and COVID-19 severity ( p = 0.001 and p = 0.025, respectively). Further studies are needed to clarify the exact roles of specific glutathione S-transferases once the SARS-CoV-2 infection is initiated in the host cell., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Coric, Milosevic, Djukic, Bukumiric, Savic-Radojevic, Matic, Jerotic, Todorovic, Asanin, Ercegovac, Ranin, Stevanovic, Pljesa-Ercegovac and Simic.)
- Published
- 2021
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41. A study on the accuracy and efficiency of the improved numerical model for stent implantation using clinical data.
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Djukic T, Saveljic I, Pelosi G, Parodi O, and Filipovic N
- Subjects
- Arteries, Humans, Hemodynamics, Stents
- Abstract
Background and Objectives: Stent implantation procedure should be carefully planned and adapted to the particular patient in order to minimize possible complications. Numerical simulations can provide useful quantitative data about the state of the artery after the implantation, as well as information about the benefits of the intervention from the hemodynamical point of view., Methods: In this paper, a numerical model for stent implantation is presented. This numerical model simulates the stent expansion, the interaction of the stent with arterial wall and the deformation of the arterial wall under the influence of the stent. FE method was used to perform CFD simulations and the effects of stenting were analyzed by comparing the hemodynamic parameters before and after stent implantation., Results: Clinical data for overall 34 patients was used for the simulations, and for 9 of them data from follow up examinations was used to validate the results of simulations of stent implantation., Conclusions: The good agreement of results (less than 4.1% of SD error for all the 9 validation cases) demonstrated the accuracy of the presented numerical model. The developed approach can be a valuable tool for the improvement of pre-operative planning and patient-specific treatment optimization., Competing Interests: Declaration of Competing Interest The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be interpreted as a potential conflict of interest., (Copyright © 2021. Published by Elsevier B.V.)
- Published
- 2021
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42. Expression, purification and immunological characterization of recombinant nucleocapsid protein fragment from SARS-CoV-2.
- Author
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Djukic T, Mladenovic M, Stanic-Vucinic D, Radosavljevic J, Smiljanic K, Sabljic L, Devic M, Cujic D, Vasovic T, Simovic A, Radomirovic M, and Cirkovic Velickovic T
- Subjects
- Amino Acid Sequence, COVID-19 blood, COVID-19 immunology, COVID-19 Serological Testing methods, Case-Control Studies, Cloning, Molecular, Coronavirus Nucleocapsid Proteins genetics, Enzyme-Linked Immunosorbent Assay standards, Escherichia coli genetics, Escherichia coli metabolism, Gene Expression, Genetic Vectors chemistry, Genetic Vectors metabolism, Immune Sera chemistry, Immunoglobulin M blood, Phosphoproteins genetics, Phosphoproteins immunology, Recombinant Proteins genetics, Recombinant Proteins immunology, Reverse Transcriptase Polymerase Chain Reaction, SARS-CoV-2 genetics, Sensitivity and Specificity, Antibodies, Viral blood, COVID-19 diagnosis, Coronavirus Nucleocapsid Proteins immunology, Enzyme-Linked Immunosorbent Assay methods, Immunoglobulin G blood, SARS-CoV-2 immunology
- Abstract
Serological testing is important method for diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Nucleocapsid (N) protein is the most abundant virus derived protein and strong immunogen. We aimed to find its efficient, low-cost production. SARS-CoV-2 recombinant fragment of nucleocapsid protein (rfNP; 58-419 aa) was expressed in E. coli in soluble form, purified and characterized biochemically and immunologically. Purified rfNP has secondary structure of full-length recombinant N protein, with high percentage of disordered structure (34.2%) and of β-sheet (40.7%). rfNP was tested in immunoblot using sera of COVID-19 convalescent patients. ELISA was optimized with sera of RT-PCR confirmed positive symptomatic patients and healthy individuals. IgG detection sensitivity was 96% (47/50) and specificity 97% (67/68), while IgM detection was slightly lower (94% and 96.5%, respectively). Cost-effective approach for soluble recombinant N protein fragment production was developed, with reliable IgG and IgM antibodies detection of SARS-CoV-2 infection., (Copyright © 2021 Elsevier Inc. All rights reserved.)
- Published
- 2021
- Full Text
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43. Efficacy of Antigonococcal CMP-Nonulosonate Therapeutics Require Cathelicidins.
- Author
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Gulati S, Schoenhofen IC, Lindhout-Djukic T, Lewis LA, Moustafa IY, Saha S, Zheng B, Nowak N, Rice PA, Varki A, and Ram S
- Subjects
- Animals, Antimicrobial Cationic Peptides pharmacology, Complement System Proteins, Cytidine Monophosphate genetics, Female, Lipopolysaccharides, Mice, Mice, Inbred BALB C, Mice, Inbred C57BL, Mice, Knockout, Neisseria gonorrhoeae drug effects, Neisseria gonorrhoeae metabolism, Neuraminic Acids, Sialic Acids, Sialyltransferases metabolism, Cathelicidins pharmacology, Cytidine Monophosphate analogs & derivatives, Cytidine Monophosphate metabolism, Cytidine Monophosphate pharmacology, Gonorrhea drug therapy, N-Acetylneuraminic Acid metabolism
- Abstract
Novel therapies to counteract multidrug-resistant gonorrhea are urgently needed. A unique gonococcal immune evasion strategy involves capping of lipooligosaccharide (LOS) with sialic acid by gonococcal sialyltransferase (Lst), utilizing host-derived CMP-sialic acid (CMP-Neu5Ac in humans). LOS sialylation renders gonococci resistant to complement and cationic peptides, and down-regulates the inflammatory response by engaging siglecs. CMP-sialic acid analogs (CMP-nonulosonates [CMP-NulOs]) such as CMP-Leg5,7Ac2 and CMP-Kdn are also utilized by Lst. Incorporation of these NulO analogs into LOS maintains gonococci susceptible to complement. Intravaginal administration of CMP-Kdn or CMP-Leg5,7Ac2 attenuates gonococcal colonization of mouse vaginas. Here, we identify a key mechanism of action for the efficacy of CMP-NulOs. Surprisingly, CMP-NulOs remained effective in complement C1q-/- and C3-/- mice. LOS Neu5Ac, but not Leg5,7Ac2 or Kdn, conferred resistance to the cathelicidins LL-37 (human) and mouse cathelicidin-related antimicrobial peptide in vitro. CMP-NulOs were ineffective in Camp-/- mice, revealing that cathelicidins largely mediate the efficacy of therapeutic CMP-NulOs., (© Her Majesty the Queen in Right of Canada, as represented by the Minister of the National Research Council of Canada, 2020.)
- Published
- 2020
- Full Text
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44. Folic acid affects cardiometabolic, oxidative stress, and immunohistochemical parameters in monocrotaline-induced rat heart failure.
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Jakovljevic Uzelac J, Djukic T, Radic T, Mutavdzin S, Stankovic S, Rakocevic JK, Labudovic Borovic M, Milic N, Simic T, Savic-Radojevic A, and Djuric D
- Subjects
- Animals, Biomarkers metabolism, Cell Proliferation drug effects, Disease Models, Animal, Glutathione metabolism, Heart Failure chemically induced, Heart Failure metabolism, Heart Failure pathology, Immunohistochemistry, Ki-67 Antigen metabolism, Male, Monocrotaline, Myocytes, Cardiac metabolism, Myocytes, Cardiac pathology, Rats, Wistar, Ventricular Remodeling drug effects, Antioxidants pharmacology, Energy Metabolism drug effects, Folic Acid pharmacology, Heart Failure drug therapy, Myocytes, Cardiac drug effects, Oxidative Stress drug effects
- Abstract
Heart failure (HF) is one of the major cardiovascular causes of death worldwide. In this study, we explored the effects of folic acid (FA) on cardiometabolic, oxidative stress biomarker changes, and the activity of proliferation marker Ki67 in monocrotaline-induced HF. The research was conducted during a 4 week period using five experimental groups (eight animals per group): blank solution exposed controls (C1: 1 mL/kg physiological saline, 1 day; C2: 1 mL/kg physiological saline, 28 days), monocrotaline (MCT) induced HF (50 mg/kg MCT), FA (5 mg·kg
-1 ·day-1 FA), and MCT+FA (50 mg/kg MCT, 5 mg·kg-1 ·day-1 FA). Superoxide dismutase and glutathione peroxidase activities together with total glutathione and parameters of oxidative damage of proteins were determined in cardiac tissue as well as cardiometabolic parameters in plasma or serum. The total glutathionylation was determined by Western blot and proliferation marker Ki67 was assessed by immunohistochemistry. The right ventricular (RV) wall hypertrophy and Ki67 positivity, accompanied by a significant increase of troponin T, has been shown in MCT-induced HF. The antioxidant effect of FA was reflected through superoxide dismutase activity, reduced Ki67 positivity in the RV wall, and a slightly decreased total glutathionylation level.- Published
- 2020
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45. Therapeutic CMP-Nonulosonates against Multidrug-Resistant Neisseria gonorrhoeae .
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Gulati S, Schoenhofen IC, Lindhout-Djukic T, Schur MJ, Landig CS, Saha S, Deng L, Lewis LA, Zheng B, Varki A, and Ram S
- Subjects
- Animals, Cell Line, Tumor, Complement Factor H metabolism, Complement System Proteins pharmacology, Cytidine Monophosphate pharmacology, Female, Gonorrhea metabolism, Gonorrhea microbiology, Humans, Lipopolysaccharides pharmacology, Mice, Mice, Inbred BALB C, Mice, Transgenic, Oligosaccharides physiology, Sialyltransferases pharmacology, Cytidine Monophosphate analogs & derivatives, Cytidine Monophosphate physiology, Cytidine Monophosphate N-Acetylneuraminic Acid pharmacology, Drug Resistance, Multiple, Bacterial drug effects, Gonorrhea drug therapy, Neisseria gonorrhoeae drug effects, Neuraminic Acids pharmacology, Sialic Acids pharmacology
- Abstract
Neisseria gonorrhoeae deploys a unique immune evasion strategy wherein the lacto- N -neotetraose termini of lipooligosaccharide (LOS) are "capped" by a surface LOS sialyltransferase (Lst), using extracellular host-derived CMP-sialic acid (CMP-Neu5Ac in humans). LOS sialylation enhances complement resistance by recruiting factor H (FH; alternative complement pathway inhibitor) and also by limiting classical pathway activation. Sialylated LOS also engages inhibitory Siglecs on host leukocytes, dampening innate immunity. Previously, we showed that analogues of CMP-sialic acids (CMP-nonulosonates [CMP-NulOs]), such as CMP-Leg5,7Ac
2 and CMP-Neu5Ac9N3 , are also substrates for Lst. Incorporation of Leg5,7Ac2 and Neu5Ac9N3 into LOS results in N. gonorrhoeae being fully serum sensitive. Importantly, intravaginal administration of CMP-Leg5,7Ac2 attenuated N. gonorrhoeae colonization of mouse vaginas. In this study, we characterize and develop additional candidate therapeutic CMP-NulOs. CMP-ketodeoxynonulosonate (CMP-Kdn) and CMP-Kdn7N3 , but not CMP-Neu4,5Ac2 , were substrates for Lst, further elucidating gonococcal Lst specificity. Lacto- N -neotetraose LOS capped with Kdn and Kdn7N3 bound FH to levels ∼60% of that seen with Neu5Ac and enabled gonococci to resist low (3.3%) but not higher (10%) concentrations of human complement. CMP-Kdn, CMP-Neu5Ac9N3 , and CMP-Leg5,7Ac2 administered intravaginally (10 μg/d) to N. gonorrhoeae -colonized mice were equally efficacious. Of the three CMP-NulOs above, CMP-Leg5,7Ac2 was the most pH and temperature stable. In addition, Leg5,7Ac2 -fed human cells did not display this NulO on their surface. Moreover, CMP-Leg5,7Ac2 was efficacious against several multidrug-resistant gonococci in mice with a humanized sialome ( Cmah-/- mice) or humanized complement system (FH/C4b-binding protein transgenic mice). CMP-Leg5,7Ac2 and CMP-Kdn remain viable leads as topical preventive/therapeutic agents against the global threat of multidrug-resistant N. gonorrhoeae ., (Copyright © 2020 National Research Council of Canada. This article is distributed under the terms of the CC BY 4.0 Unported license.)- Published
- 2020
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46. The influence of subchronic co-application of vitamins B6 and folic acid on cardiac oxidative stress and biochemical markers in monocrotaline-induced heart failure in male Wistar albino rats.
- Author
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Jakovljevic Uzelac J, Djukic T, Mutavdzin S, Stankovic S, Labudovic Borovic M, Rakocevic J, Milic N, Savic Radojevic A, Vasic M, Japundzic Zigon N, Simic T, and Djuric D
- Subjects
- Animals, Biomarkers metabolism, Electrocardiography drug effects, Heart drug effects, Heart physiopathology, Heart Failure chemically induced, Heart Failure physiopathology, Male, Monocrotaline adverse effects, Rats, Rats, Wistar, Time Factors, Folic Acid administration & dosage, Folic Acid pharmacology, Heart Failure metabolism, Myocardium metabolism, Oxidative Stress drug effects, Vitamin B 6 administration & dosage, Vitamin B 6 pharmacology
- Abstract
The aim of this study was to test the hypothesis that subchronic co-application of vitamins B6 and folic acid (FA) could affect heart failure (HF) induced by monocrotaline (MCT), with the modulation of oxidative stress parameters and cardiometabolic biomarkers. Biochemical and histomorphometric analyses were assessed in blank solution-exposed controls (C1 physiological saline 1 mL/kg, 1 day, n = 8; C2 physiological saline 1 mL/kg, 28 days, n = 8), MCT-induced HF ( MCT 50 mg/kg, n = 8), B6+FA (vitamin B6 7 mg·kg
-1 ·day-1 , FA 5 mg·kg-1 ·day-1 ; n = 8), and MCT+B6+FA (MCT 50 mg/kg, vitamin B6 7 mg·kg-1 ·day-1 , FA 5 mg·kg-1 ·day-1 ; n = 8) in male Wistar albino rats (body mass 160 g at the start). Superoxide dismutase and glutathione peroxidase activities, thiol-, carbonyl groups, and nitrotyrosine were determined in cardiac tissue. Echocardiography was performed to confirm MCT-induced HF. The right ventricular wall hypertrophy, accompanied with significant increase of troponin T and preserved renal and liver function, has been shown in MCT-induced HF. However, these effects were not related to antioxidant effects of vitamin B6 and FA, since several parameters of oxidative stress were more pronounced after treatment. In this study, co-application of vitamins B6 and FA did not attenuate hypertrophy of the right ventricle wall but aggravated oxidative stress, which is involved in HF pathogenesis.- Published
- 2020
- Full Text
- View/download PDF
47. GSTO1 *CC Genotype (rs4925) Predicts Shorter Survival in Clear Cell Renal Cell Carcinoma Male Patients.
- Author
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Radic T, Coric V, Bukumiric Z, Pljesa-Ercegovac M, Djukic T, Avramovic N, Matic M, Mihailovic S, Dragicevic D, Dzamic Z, Simic T, and Savic-Radojevic A
- Abstract
Omega class glutathione transferases, GSTO1-1 and GSTO2-2, exhibit different activities involved in regulation of inflammation, apoptosis and redox homeostasis. We investigated the the prognostic significance of GSTO1 (rs4925) and GSTO2 (rs156697 and rs2297235) polymorphisms in clear cell renal cell carcinoma (ccRCC) patients. GSTO1-1 and GSTO2-2 expression and phosphorylation status of phosphoinositide 3-kinase (PI3K)/protein kinase B (Akt)/ /mammalian target of rapamycin (mTOR) and Raf/MEK/extracellular signal-regulated kinase (ERK) signaling pathways in non-tumor and tumor ccRCC tissue, as well as possible association of GSTO1-1 with signaling molecules were also assessed. GSTO genotyping was performed by quantitative PCR in 228 ccRCC patients, while expression and immunoprecipitation were analyzed by Western blot in 30 tissue specimens. Shorter survival in male carriers of GSTO1 *C/C wild-type genotype compared to the carriers of at least one variant allele was demonstrated ( p = 0.049). GSTO1 *C/C genotype independently predicted higher risk of overall mortality among male ccRCC patients ( p = 0.037). Increased expression of GSTO1-1 and GSTO2-2 was demonstrated in tumor compared to corresponding non-tumor tissue ( p = 0.002, p = 0.007, respectively), while GSTO1 expression was correlated with interleukin-1β (IL-1β)/pro-interleukin-1β (pro-IL-1β) ratio ( r = 0.260, p = 0.350). Interaction of GSTO1 with downstream effectors of investigated pathways was shown in ccRCC tumor tissue. This study demonstrated significant prognostic role of GSTO1 polymorphism in ccRCC. Up-regulated GSTO1-1 and GSTO2-2 in tumor tissue might contribute to aberrant ccRCC redox homeostasis.
- Published
- 2019
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- View/download PDF
48. Numerical simulation of stent deployment within patient-specific artery and its validation against clinical data.
- Author
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Djukic T, Saveljic I, Pelosi G, Parodi O, and Filipovic N
- Subjects
- Algorithms, Computer Simulation, Coronary Vessels physiopathology, Humans, Hypertension complications, Hypertension therapy, Image Processing, Computer-Assisted, Imaging, Three-Dimensional, Male, Middle Aged, Models, Cardiovascular, Obesity complications, Overweight complications, Coronary Vessels surgery, Endovascular Procedures instrumentation, Endovascular Procedures methods, Stents
- Abstract
Background and Objective: One of the most widely adopted endovascular treatment procedures is the stent implantation. The effectiveness of the treatment depends on the appropriate stent expansion. However, it is difficult to accurately predict the outcome of such an endovascular intervention. Numerical simulations represent a useful tool to study the complex behavior of the stent during deployment. This study presents a numerical model capable of simulating this process., Methods: The numerical model consists of three parts: modeling of stent expansion, modeling the interaction of the stent with the arterial wall and the deformation of the arterial wall. The model is able to predict the shapes of both stent and arterial wall during the entire deployment process. Simulations are performed using patient-specific clinical data that ensures more realistic results., Results: The numerical simulations of stent deployment are performed using the extracted geometry of the coronary arteries of two patients. The obtained results are validated against clinical data from the follow up examination and both quantitative and qualitative analysis of the results is presented. The areas of several slices of the arterial wall are calculated for all the three states (before, after and follow up) and the standard error of the area when comparing simulation and follow up examination is 5.27% for patient #1 and 4.5% for patient #2., Conclusions: The final goal of numerical simulations in stent deployment should be to provide a clinical tool that is capable of reliably predicting the treatment outcome. This study showed through the good agreement of results of the numerical simulations and clinical data that the presented numerical model represents a step towards this final goal. These simulations can also provide valuable information about distribution of forces and stress in the arterial wall that can improve pre-operative planning and treatment optimization., (Copyright © 2019 Elsevier B.V. All rights reserved.)
- Published
- 2019
- Full Text
- View/download PDF
49. Glutathione Transferase P1 Polymorphism Might Be a Risk Determinant in Heart Failure.
- Author
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Simeunovic D, Odanovic N, Pljesa-Ercegovac M, Radic T, Radovanovic S, Coric V, Milinkovic I, Matic M, Djukic T, Ristic A, Risimic D, Seferovic P, Simic T, Simic D, and Savic-Radojevic A
- Subjects
- Aged, Cardiomyopathy, Dilated complications, Coronary Artery Disease complications, Female, Heart Failure etiology, Humans, Male, Middle Aged, Cardiomyopathy, Dilated genetics, Coronary Artery Disease genetics, Glutathione S-Transferase pi genetics, Heart Failure genetics, Polymorphism, Single Nucleotide
- Abstract
Disturbed redox balance in heart failure (HF) might contribute to impairment of cardiac function, by oxidative damage, or by regulation of cell signaling. The role of polymorphism in glutathione transferases ( GSTs ), involved both in antioxidant defense and in regulation of apoptotic signaling pathways in HF, has been proposed. We aimed to determine whether GST genotypes exhibit differential risk effects between coronary artery disease (CAD) and idiopathic dilated cardiomyopathy (IDC) in HF patients. GSTA1 , GSTM1 , GSTP1 , and GSTT1 genotypes were determined in 194 HF patients (109 CAD, 85 IDC) and 274 age- and gender-matched controls. No significant association was found for GSTA1 , GSTM1 , and GSTT1 genotypes with HF occurrence due to either CAD or IDC. However, carriers of at least one variant GSTP1 ∗Val (rs1695) allele were at 1.7-fold increased HF risk than GSTP1 ∗Ile/Ile carriers ( p = 0.031), which was higher when combined with the variant GSTA1 ∗B allele (OR = 2.2, p = 0.034). In HF patients stratified based on the underlying cause of disease, an even stronger association was observed in HF patients due to CAD, who were carriers of a combined GSTP1 (rs1695)/ GSTA1 "risk-associated" genotype (OR = 2.8, p = 0.033) or a combined GSTP1 ∗Ile/Val+Val/Val (rs1695)/ GSTP1 ∗AlaVal+∗ValVal (rs1138272) genotype (OR = 2.1, p = 0.056). Moreover, these patients exhibited significantly decreased left ventricular end-systolic diameter compared to GSTA1 ∗AA/ GSTP1 ∗IleIle carriers ( p = 0.021). Higher values of ICAM-1 were found in carriers of the GSTP1 ∗IleVal+∗ValVal (rs1695) ( p = 0.041) genotype, whereas higher TNF α was determined in carriers of the GSTP1 ∗AlaVal+∗ValVal genotype (rs1138272) ( p = 0.041). In conclusion, GSTP1 polymorphic variants may determine individual susceptibility to oxidative stress, inflammation, and endothelial dysfunction in HF.
- Published
- 2019
- Full Text
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50. Analysis of on-surface and in-air movement in handwriting of subjects with Parkinson's disease and atypical parkinsonism.
- Author
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Miler Jerkovic V, Kojic V, Dragasevic Miskovic N, Djukic T, Kostic VS, and Popovic MB
- Subjects
- Air Movements, Handwriting, Humans, Movement, Parkinson Disease diagnosis, Parkinson Disease physiopathology
- Abstract
The purpose of this paper is to emphasize the importance of in-air movement besides on-surface movement for handwriting analysis. The proposed method uses a classification of drawing healthy subjects and subjects with Parkinson's disease, according to their on-surface and in-air handwriting parameters during their writing on a graphical tablet. Experimental results on real data sets demonstrate that the highest accuracy of subject's classification was obtained by combining both on-surface and in-air kinematic parameters.
- Published
- 2019
- Full Text
- View/download PDF
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