Institution
University of Rijeka
Education•Rijeka, Croatia•
About: University of Rijeka is a education organization based out in Rijeka, Croatia. It is known for research contribution in the topics: Population & Tourism. The organization has 3471 authors who have published 7993 publications receiving 110386 citations. The organization is also known as: Rijeka University & Sveučilište u Rijeci.
Papers published on a yearly basis
Papers
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TL;DR: Findings show that RA ameliorates CP-induced oxidative stress, inflammation and apoptosis in the kidneys, and the nephroprotective activity of RA could be, at least in part, attributed to reduced CYP2E1 expression.
79 citations
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TL;DR: The results suggest that alterations in the SM metabolism may contribute to early pathological processes leading to AD.
79 citations
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TL;DR: The most frequent errors in calculating correlation are related to conditions for calculation, interpretation of the coefficient and correlation significance, high correlation coefficients, assumption of causal relationship, the strength of correlation (coefficient of determination), and comparison of two correlation coefficients as discussed by the authors.
Abstract: Correlation is a statistical procedure applied to calculate association between two variables. The value of correlation is numerically shown by a coefficient of correlation, most often by Pearson's or Spearman's coefficient, while the significance of the coefficient is expressed by P value. The coefficient of correlation shows the extent to which changes in the value of one variable are correlated to changes in the value of the other. A sign preceding the coefficient of correlation (+ or -) indicates the direction of correlation. The most frequent errors in calculating correlation are related to conditions for calculation, interpretation of the coefficient and correlation significance, high correlation coefficients, assumption of causal relationship, the strength of correlation (coefficient of determination), and comparison of two correlation coefficients.
79 citations
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TL;DR: Natural killer cell recognition of “missing self” contributes meaningfully to control of mouse cytomegalovirus infection in vivo.
Abstract: Cytomegaloviruses (CMVs) are renowned for interfering with the immune system of their hosts. To sidestep antigen presentation and destruction by CD8+ T cells, these viruses reduce expression of major histocompatibility complex class I (MHC I) molecules. However, this process sensitizes the virus-infected cells to natural killer (NK) cell–mediated killing via the “missing self” axis. Mouse cytomegalovirus (MCMV) uses m152 and m06 encoded proteins to inhibit surface expression of MHC I molecules. In addition, it encodes another protein, m04, which forms complexes with MHC I and escorts them to the cell surface. This mechanism is believed to prevent NK cell activation and killing by restoring the “self” signature and allowing the engagement of inhibitory Ly49 receptors on NK cells. Here we show that MCMV lacking m04 was attenuated in an NK cell– and MHC I–dependent manner. NK cell–mediated control of the infection was dependent on the presence of NK cell subsets expressing different inhibitory Ly49 receptors. In addition to providing evidence for immunoevasion strategies used by CMVs to avoid NK cell control via the missing-self pathway, our study is the first to demonstrate that missing self–dependent NK cell activation is biologically relevant in the protection against viral infection in vivo.
78 citations
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TL;DR: Virgin olive oil enriched with phospholipids (soy lecithin) up to the levels present in seed oils 28 (from 2.5 to 10.0 g/kg) was studied as a potential functional food and lecithin addition slightly increased.
78 citations
Authors
Showing all 3537 results
Name | H-index | Papers | Citations |
---|---|---|---|
Igor Rudan | 142 | 658 | 103659 |
Nikola Godinovic | 138 | 1469 | 100018 |
Ivica Puljak | 134 | 1436 | 97548 |
Damir Lelas | 133 | 1354 | 93354 |
D. Mekterovic | 110 | 449 | 46779 |
Ulrich H. Koszinowski | 96 | 281 | 27709 |
Michele Doro | 79 | 437 | 20090 |
Robert Zivadinov | 73 | 522 | 18636 |
D. Dominis Prester | 70 | 363 | 16701 |
Daniel Ferenc | 70 | 225 | 16145 |
Vladimir Parpura | 64 | 226 | 18050 |
Stipan Jonjić | 62 | 227 | 19363 |
Dario Hrupec | 60 | 288 | 13345 |
Alessandro Laviano | 59 | 298 | 14609 |
Tomislav Terzić | 58 | 271 | 10699 |