Institution
University of Zagreb
Education•Zagreb, Grad Zagreb, Croatia•
About: University of Zagreb is a education organization based out in Zagreb, Grad Zagreb, Croatia. It is known for research contribution in the topics: Population & European union. The organization has 21769 authors who have published 50267 publications receiving 783239 citations. The organization is also known as: Zagreb University & Sveučilište u Zagrebu.
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TL;DR: In this article, the effect of different extraction conditions and storage time of prepared infusions on the content of bioactive compounds of green teas and their antioxidant capacity were investigated, showing that green tea is one of the best dietary sources of antioxidants.
192 citations
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TL;DR: The program package ‘ClustScan’ (Cluster Scanner) is designed for rapid, semi-automatic, annotation of DNA sequences encoding modular biosynthetic enzymes including polyketide synthases, non-ribosomal peptide synthetases and hybrid (PKS/NRPS) enzymes.
Abstract: The program package ‘ClustScan’ (Cluster Scanner) is designed for rapid, semi-automatic, annotation of DNA sequences encoding modular biosynthetic enzymes including polyketide synthases (PKS), non-ribosomal peptide synthetases (NRPS) and hybrid (PKS/NRPS) enzymes. The program displays the predicted chemical structures of products as well as allowing export of the structures in a standard format for analyses with other programs. Recent advances in understanding of enzyme function are incorporated to make knowledge-based predictions about the stereochemistry of products. The program structure allows easy incorporation of additional knowledge about domain specificities and function. The results of analyses are presented to the user in a graphical interface, which also allows easy editing of the predictions to incorporate user experience. The versatility of this program package has been demonstrated by annotating biochemical pathways in microbial, invertebrate animal and metagenomic datasets. The speed and convenience of the package allows the annotation of all PKS and NRPS clusters in a complete Actinobacteria genome in 2–3 man hours. The open architecture of ClustScan allows easy integration with other programs, facilitating further analyses of results, which is useful for a broad range of researchers in the chemical and biological sciences.
191 citations
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University of Bologna1, University of Belgrade2, Ljubljana University Medical Centre3, Aristotle University of Thessaloniki4, University of Latvia5, National and Kapodistrian University of Athens6, University of Debrecen7, University College London8, University of Pavol Jozef Šafárik9, University of Zagreb10, Imperial College London11, University of Palermo12, Mashhad University of Medical Sciences13, Emory University14, Johns Hopkins University15, Charles University in Prague16, University of California, Irvine17, Medical University of Łódź18
TL;DR: This research presents a novel and scalable approach called “SmartCardiology,” which aims to provide real-time information about the activity of the autonomic nervous system and its role in cardiac arrest.
Abstract: 1.1. Cardiovascular disease and dyslipidemia: prevalence and global economic impact
Cardiovascular diseases (CVDs) are the leading cause of mortality worldwide, reaching 31% of deaths in 2012 [1]. In particular, atherosclerosis and ischemic heart disease (IHD) are the main causes of premature death in Europe and are responsible for 42% of deaths in women and 38% in men under 75 years old [2]. The global economic impact of CVD is estimated to have been US $906 billion in 2015 and is expected to rise by 22% by 2030 [3]. Cardiovascular diseases also represent the major cause of disability in developed countries. It has been estimated that their growing burden could lead to a global increase in loss of disability-adjusted life years (DALYs), from a loss of 85 million DALYs in 1990 to a loss of ~150 million DALYs in 2020, becoming a major non-psychological cause of lost productivity [4].
Several risk factors contribute to the etiology and development of CVD; they are divided into those modifiable through lifestyle changes or by taking a pharmacologic treatment (e.g. for hypertension, smoking, diabetes mellitus, hypercholesterolemia) and those that are not modifiable (age, male gender, and family history) [5]. Elevated total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C) blood concentrations are the major modifiable risk factors for coronary heart disease (CHD), whereas high concentrations of plasma high-density lipoprotein cholesterol (HDL-C) in certain conditions are considered protective [6]. Moreover, LDL-C remains a fundamental CV risk factor (and a main target of therapy) even when statins are largely used in the general population [7].
An examination of the data of 18 053 participants aged ≥ 20 years who participated in the National Health and Nutrition Examination Surveys (NHANES) from 1999 to 2006 showed that the unadjusted prevalence of hypercholesterolemia ranged from 53.2% to 56.1% in United States adults [8]. Differences related to gender and race or ethnicity were observed; in particular, a lower rate of control was found among women than men and lower rates of having a cholesterol check and being told about hypercholesterolemia were reported by African Americans and Mexican Americans than whites [8].
A recent report from the American Heart Association confirmed that in the US only 75.7% of children and 46.6% of adults present targeted TC levels (TC < 170 mg/dl for children and < 200 mg/dl for adults, in untreated individuals) [9]. The pattern is similar in other Western countries [10, 11].
191 citations
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University of Greifswald1, Magna Græcia University2, Katholieke Universiteit Leuven3, University College London4, Nottingham University Hospitals NHS Trust5, Hoffmann-La Roche6, Charles University in Prague7, Monash University8, National and Kapodistrian University of Athens9, University of Zagreb10, University of Nottingham11
TL;DR: In this review of the UNGAP Working group "Food-Drug Interface", the different mechanisms that can lead to pharmacokinetic food-drug interactions are discussed and summarised from different expert perspectives.
191 citations
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TL;DR: In this paper, the effects of climate change and global warming on agricultural pest management are discussed and several priorities can be identified for future research, such as modified integrated pest management tactics, monitoring climate and pest populations, and the use of modelling prediction tools.
Abstract: Climate change and global warming are of great concern to agriculture worldwide and are among the most discussed issues in today’s society. Climate parameters such as increased temperatures, rising atmospheric CO2 levels, and changing precipitation patterns have significant impacts on agricultural production and on agricultural insect pests. Changes in climate can affect insect pests in several ways. They can result in an expansion of their geographic distribution, increased survival during overwintering, increased number of generations, altered synchrony between plants and pests, altered interspecific interaction, increased risk of invasion by migratory pests, increased incidence of insect-transmitted plant diseases, and reduced effectiveness of biological control, especially natural enemies. As a result, there is a serious risk of crop economic losses, as well as a challenge to human food security. As a major driver of pest population dynamics, climate change will require adaptive management strategies to deal with the changing status of pests. Several priorities can be identified for future research on the effects of climatic changes on agricultural insect pests. These include modified integrated pest management tactics, monitoring climate and pest populations, and the use of modelling prediction tools.
191 citations
Authors
Showing all 22096 results
Name | H-index | Papers | Citations |
---|---|---|---|
Harry Campbell | 150 | 897 | 115457 |
Joseph R. Ecker | 148 | 381 | 94860 |
Igor Rudan | 142 | 658 | 103659 |
Nikola Godinovic | 138 | 1469 | 100018 |
Ivica Puljak | 134 | 1436 | 97548 |
Damir Lelas | 133 | 1354 | 93354 |
Željko Ivezić | 129 | 344 | 84365 |
Piotr Ponikowski | 120 | 762 | 131682 |
Marin Soljacic | 117 | 764 | 51444 |
Ivan Dikic | 107 | 359 | 52088 |
Ozren Polasek | 102 | 436 | 52674 |
Mordechai Segev | 99 | 729 | 40073 |
Srdan Verstovsek | 96 | 1045 | 38936 |
Segev BenZvi | 95 | 482 | 32127 |
Mirko Planinic | 94 | 467 | 31957 |