Differentiation of acute and four-week old myocardial infarct with Gd(ABE-DTTA)-enhanced CMR

<p>Abstract</p> <p>Background</p> <p>Standard extracellular cardiovascular magnetic resonance (CMR) contrast agents (CA) do not provide differentiation between acute and older myocardial infarcts (MI). The purpose of this study was to develop a method for differentiation between acute and older myocardial infarct using myocardial late-enhancement (LE) CMR by a new, low molecular weight contrast agent.</p> <p>Dogs (n = 6) were studied in a closed-chest, reperfused, double myocardial infarct model. Myocardial infarcts were generated by occluding the Left Anterior Descending (LAD) coronary artery with an angioplasty balloon for 180 min, and four weeks later occluding the Left Circumflex (LCx) coronary artery for 180 min. LE images were obtained on day 3 and day 4 after second myocardial infarct, using Gd(DTPA) (standard extracellular contrast agent) and Gd(ABE-DTTA) (new, low molecular weight contrast agent), respectively. Triphenyltetrazolium chloride (TTC) histomorphometry validated existence and location of infarcts. Hematoxylin-eosin and Masson's trichrome staining provided histologic evaluation of infarcts.</p> <p>Results</p> <p>Gd(ABE-DTTA) or Gd(DTPA) highlighted the acute infarct, whereas the four-week old infarct was visualized by Gd(DTPA), but not by Gd(ABE-DTTA). With Gd(ABE-DTTA), the mean ± SD signal intensity enhancement (SIE) was 366 ± 166% and 24 ± 59% in the acute infarct and the four-week old infarct, respectively (P < 0.05). The latter did not differ significantly from signal intensity in healthy myocardium (P = NS). Gd(DTPA) produced signal intensity enhancements which were similar in acute (431 ± 124%) and four-week old infarcts (400 ± 124%, P = NS), and not statistically different from the Gd(ABE-DTTA)-induced SIE in acute infarct. The existence and localization of both infarcts were confirmed by triphenyltetrazolium chloride (TTC). Histologic evaluation demonstrated coagulation necrosis, inflammation, and multiple foci of calcification in the four day old infarct, while the late subacute infarct showed granulation tissue and early collagen deposition.</p> <p>Conclusions</p> <p>Late enhancement CMR with separate administrations of standard extracellular contrast agent, Gd(DTPA), and the new low molecular weight contrast agent, Gd(ABE-DTTA), differentiates between acute and late subacute infarct in a reperfused, double infarct, canine model.</p

European HYdropedological Data Inventory (EU-HYDI)

There is a common need for reliable hydropedological information in Europe. In the last decades research institutes, universities and government agencies have developed local, regional and national datasets containing soil physical, chemical, hydrological and taxonomic information often combined with land use and landform data. A hydrological database for western European soils was also created in the mid-1990s. However, a comprehensive European hydropedological database, with possible additional information on chemical parameters and land use is still missing. A comprehensive joint European hydropedological inventory can serve multiple purposes, including scientific research, modelling and application of models on different geographical scales. The objective of the joint effort of the participants is to establish the European Hydropedological Data Inventory (EU-HYDI). This database holds data from European soils focusing on soil physical, chemical and hydrological properties. It also contains information on geographical location, soil classification and land use/cover at the time of sampling. It was assembled with the aim of encompassing the soil variability in Europe. It contains data from 18 countries with contributions from 29 institutions. This report presents an overview of the database, details the individual contributed datasets and explains the quality assurance and harmonization process that lead to the final database

Neuroinflammatory processes are augmented in mice overexpressing human heat-shock protein B1 following ethanol-induced brain injury

Background: Heat-shock protein B1 (HSPB1) is among the most well-known and versatile member of the evolutionarily conserved family of small heat-shock proteins. It has been implicated to serve a neuroprotective role against various neurological disorders via its modulatory activity on inflammation, yet its exact role in neuroinflammation is poorly understood. In order to shed light on the exact mechanism of inflammation modulation by HSPB1, we investigated the effect of HSPB1 on neuroinflammatory processes in an in vivo and in vitro model of acute brain injury. Methods: In this study, we used a transgenic mouse strain overexpressing the human HSPB1 protein. In the in vivo experiments, 7-day-old transgenic and wild-type mice were treated with ethanol. Apoptotic cells were detected using TUNEL assay. The mRNA and protein levels of cytokines and glial cell markers were examined using RT-PCR and immunohistochemistry in the brain. We also established primary neuronal, astrocyte, and microglial cultures which were subjected to cytokine and ethanol treatments. TNF alpha and hHSPB1 levels were measured from the supernates by ELISA, and intracellular hHSPB1 expression was analyzed using fluorescent immunohistochemistry. Results: Following ethanol treatment, the brains of hHSPB1-overexpressing mice showed a significantly higher mRNA level of pro-inflammatory cytokines (Tnf, Il1b), microglia (Cd68, Arg1), and astrocyte (Gfap) markers compared to wild-type brains. Microglial activation, and 1 week later, reactive astrogliosis was higher in certain brain areas of ethanol-treated transgenic mice compared to those of wild-types. Despite the remarkably high expression of pro-apoptotic Tnf, hHSPB1-overexpressing mice did not exhibit higher level of apoptosis. Our data suggest that intracellular hHSPB1, showing the highest level in primary astrocytes, was responsible for the inflammation-regulating effects. Microglia cells were the main source of TNF alpha in our model. Microglia isolated from hHSPB1-overexpressing mice showed a significantly higher release of TNF alpha compared to wild-type cells under inflammatory conditions. Conclusions; Our work provides novel in vivo evidence that hHSPB1 overexpression has a regulating effect on acute neuroinflammation by intensifying the expression of pro-inflammatory cytokines and enhancing glial cell activation, but not increasing neuronal apoptosis. These results suggest that hHSPB1 may play a complex role in the modulation of the ethanol-induced neuroinflammatory response.Peer reviewe

On the Use of Unmanned Aerial Systems for Environmental Monitoring

Environmental monitoring plays a central role in diagnosing climate and management impacts on natural and agricultural systems; enhancing the understanding of hydrological processes; optimizing the allocation and distribution of water resources; and assessing, forecasting, and even preventing natural disasters. Nowadays, most monitoring and data collection systems are based upon a combination of ground-based measurements, manned airborne sensors, and satellite observations. These data are utilized in describing both small- and large-scale processes, but have spatiotemporal constraints inherent to each respective collection system. Bridging the unique spatial and temporal divides that limit current monitoring platforms is key to improving our understanding of environmental systems. In this context, Unmanned Aerial Systems (UAS) have considerable potential to radically improve environmental monitoring. UAS-mounted sensors offer an extraordinary opportunity to bridge the existing gap between field observations and traditional air- and space-borne remote sensing, by providing high spatial detail over relatively large areas in a cost-effective way and an entirely new capacity for enhanced temporal retrieval. As well as showcasing recent advances in the field, there is also a need to identify and understand the potential limitations of UAS technology. For these platforms to reach their monitoring potential, a wide spectrum of unresolved issues and application-specific challenges require focused community attention. Indeed, to leverage the full potential of UAS-based approaches, sensing technologies, measurement protocols, postprocessing techniques, retrieval algorithms, and evaluation techniques need to be harmonized. The aim of this paper is to provide an overview of the existing research and applications of UAS in natural and agricultural ecosystem monitoring in order to identify future directions, applications, developments, and challengespublishersversionPeer reviewe

Development and analysis of the Soil Water Infiltration Global database

In this paper, we present and analyze a novel global database of soil infiltration measurements, the Soil Water Infiltration Global (SWIG) database. In total, 5023 infiltration curves were collected across all continents in the SWIG database. These data were either provided and quality checked by the scientists who performed the experiments or they were digitized from published articles. Data from 54 different countries were included in the database with major contributions from Iran, China, and the USA. In addition to its extensive geographical coverage, the collected infiltration curves cover research from 1976 to late 2017. Basic information on measurement location and method, soil properties, and land use was gathered along with the infiltration data, making the database valuable for the development of pedotransfer functions (PTFs) for estimating soil hydraulic properties, for the evaluation of infiltration measurement methods, and for developing and validating infiltration models. Soil textural information (clay, silt, and sand content) is available for 3842 out of 5023 infiltration measurements ( ∼ 76%) covering nearly all soil USDA textural classes except for the sandy clay and silt classes. Information on land use is available for 76% of the experimental sites with agricultural land use as the dominant type ( ∼ 40%). We are convinced that the SWIG database will allow for a better parameterization of the infiltration process in land surface models and for testing infiltration models. All collected data and related soil characteristics are provided online in *.xlsx and *.csv formats for reference, and we add a disclaimer that the database is for public domain use only and can be copied freely by referencing it. Supplementary data are available at https://doi.org/10.1594/PANGAEA.885492 (Rahmati et al., 2018). Data quality assessment is strongly advised prior to any use of this database. Finally, we would like to encourage scientists to extend and update the SWIG database by uploading new data to it

Phosphorus levels in croplands of the European Union withimplications for P fertilizer use

tIn the frame of the Land Use/Land Cover Area Frame Survey sampling of topsoil was carried out on around22,000 points in 25 EU Member States in 2009 and in additional 2 Member States in 2012. Besidesother basic soil properties soil phosphorus (P) content of the samples were also measured in a singlelaboratory in both years. Based on the results of the LUCAS topsoil survey we performed an assessmentof plant available P status of European croplands. Higher P levels can be observed in regions where highercrop yields can be expected and where high fertilizer P inputs are reported. Plant available phosphoruslevels were determined using two selected fertilizer recommendation systems: one from Hungary andone from the United Kingdom. The fertilizer recommendation system of the UK does not recommendadditional fertilizer use on croplands with highest P supply, which covers regions mostly in Belgiumand the Netherlands. According to a Hungarian advisory system there is a need for fertilizer P input inall regions of the EU. We established a P fertilizer need map based on integrating results from the twosystems. Based on data from 2009 and 2012, P input demand of croplands in the European Union wasestimated to 3, 849, 873 tons(P2O5)/year. Meanwhile we found disparities of calculated input need andreported fertilizer statistics both on local (country) scale and EU level. The first ever uniform topsoilP survey of the EU highlights the contradictions between soil P management of different countries ofthe Union and the inconsistencies between reported P fertilizer consumption and advised P doses. Ouranalysis shows a status of a baseline period of the years 2009 and 2012, while a repeated LUCAS topsoilsurvey can be a useful tool to monitor future changes of nutrient levels, including P in soils of the EU.JRC.H.5-Land Resources Managemen

Phosphorus levels in croplands of the European Union with implications for P fertilizer use

In the frame of the Land Use/Land Cover Area Frame Survey sampling of topsoil was carried out on around 22.000 points in 25 EU Member States in 2009 and in additional 2 member States in 2012. Beside other basic soil properties soil phosphorus (P) content of the samples were also measured in a single laboratory in both years. Based on the results of the LUCAS Topsoil survey we performed an assessment of plant available P status of European croplands. Higher P levels can be observed in regions where higher crop yields can be expected and where high fertiliser P inputs are reported. Plant available phosphorus levels were determined using two selected fertilizer recommendation systems; one from Hungary and one from the United Kingdom. The fertiliser recommendation system of the UK does not recommend additional fertiliser use on croplands with highest P supply, which covers regions mostly in Belgium and the Netherlands. According to a Hungarian advisory system there is a need for fertilizer P input in all regions of the EU. We established a P fertiliser need map based on integrating results from the two systems. Based on data from 2009 and 2012, P input demand of croplands in the European Union was estimated to 3,849,873 tons(P2O5)/year. In the meanwhile we found disparities of calculated input need and reported fertiliser statistics both on local (country) scale and on EU level. The first ever uniform topsoil P survey of the EU highlights the contradictions between soil P management of different countries of the Union while also highlights the inconsistencies between reported P fertiliser consumption and advised P doses. Our analysis shows a status of a baseline period of the years 2009 and 2012, while a repeated LUCAS topsoil survey can be a useful tool to monitor future changes of nutrient levels, including P in soils of the EU.JRC.H.5-Land Resources Managemen

Water retention of salt affected soils: quantitative estimation using soil survey information

Soil water retention (SWR) at -0.1, -33, -1500 and -150000 kPa matric potentials and available water content (AWC) were estimated from information available from 729 horizons of salt-affected soils in the Hungarian Detailed Soil Hydrophysical Database. Soil characteristics of the 1:10,000 scale Hungarian soil maps were used as input parameters. Ordinal and nominal (categorical) variables: texture, organic matter content, calcium carbonate content, soluble salt content, pH and soil subtype classes of the soil map were used to develop a new prediction method based on the CHAID classification tree. Results of the model development were compared with results using conventional prediction methods (CRT – classification tree and multiple linear regression). Four types of pedotransfer rules were established by classification tree methods. The first rule uses contiuous-type input parameters, the second uses soil taxonomical information in addition, the third and fourth one uses categorical-type input parameters. In addition, continuous pedotransfer functions (point estimations) were established as well. Results show that the root mean square error (RMSE) of the pedotransfer rules based on categorical-type soil information is between 1.25 vol% (at -150000 kPa) and 6.40 vol% (-33 kPa). Model performance of pedotransfer rules and pedotransfer functions was not significantly different, meaning that with the mentioned available input parameters, for salt-affected soils the prediction accuracy is similar with categorical and continuous-type information. The established methods can be readily used to prepare available water content maps for the topsoil of salt affected soils based on solely soil survey information.JRC.H.5-Land Resources Managemen

Analyzing dual porosity in soil hydraulic properties using soil databases for pedotransfer function development

Current databases of soil hydraulic properties (SHPs) have typically been used to develop pedotransfer functions (PTFs) to estimate water retention [θ(h)] assuming a unimodal pore-size distribution. However, natural soils often show the presence of bimodal to multimodal pore-size distributions. Here, we used three widely spread databases for PTF development: UNsaturated SOil hydraulic DAtabase (UNSODA) 2.0, Vereecken, and European hydropedological data inventory (EU-HYDI), to analyze the presence of structural effects in both θ(h) and hydraulic conductivity [K(h)]. Only undisturbed samples were included in the analysis that contained enough datapoints for both θ(h) and K(h) properties, especially in the wet range. One-hundred ninety-two samples were suitable for our analysis, which is only 1% of the total samples in the three databases. Results showed that 65% of the samples exhibited a bimodal pore-size distribution, and bimodality was not limited to fine-textured but also coarser-textured soils. The Mualem–van Genuchten (MvG) expression for both unimodal and bimodal soils was not able to predict the observed unsaturated K. Only a joint fitting of measured θ(h) and K(h) functions provided parameter estimates that were able to describe unsaturated K for uni- and bimodal soils. In addition, we observed a negative relationship between α and n in the case of low sand content (<52%) for both unimodal and bimodal matrix domain properties, contradicting the classical notion. The ratio of α for the macropore and matrix domain was positively correlated with the fraction of macropores and sand content. We anticipate that the results will contribute to deriving PTF for structured soils and avoid unrealistic combinations of MvG parameters

Comparison of pedotransfer functions to estimate the van Genuchten parameters from soil survey information A van Genuchten-függvény paramétereit átnézetes talajtérképi információkból becslő módszerek összehasonlítása és továbbfejlesztésük lehetőségei

The aim of the research was to compare the reliability of the methods used to estimate the parameters of the soil water retention curve (SWRC) from Hungarian soil map information and to investigate how the methods could be improved, using 11,470 soil horizon data series from the Hungarian Soil Hydrophysical Dataset (the MARTHA dataset). Among the methods found in the literature, the SWRC estimation method has only yet been tested in Hungary for the Kreybig Digital Soil Information System (BAKACSI et al., 2012). These authors determined the FAO texture class (FAO, 1995) of the given soil on the basis of soil hygroscopic data (hy). Then class pedotransfer functions (class PTFs) derived on the HYPRES dataset by WÖSTEN et al. (1999) and on the HUNSODA dataset by NEMES (2003) were used to estimate van Genuchten parameters of the SWRC for the mapped texture classes (HYPRES_hy and HUNSODA_hy). The relationship between hy and the five FAO texture classes was then tested on the MARTHA dataset following the procedure of BAKACSI et al. (2012). Texture was also estimated on the basis of the upper limit of plasticity according to Arany (KA). The van Genuchten parameters of the characteristic SWRC for each FAO texture class were calculated on the training set of MARTHA using the method of WÖSTEN et al. (1999). The calculation was first carried out for soil samples having at least three measured water retention values (MARTHA_min3pF) and then only for those where at least five θ(h) data pairs were available (MARTHA_min5pF). It was found that the FAO texture class of soil samples could be assigned more efficiently on the basis of KA than using hy. In cases where data on the particle size distribution were not available and FAO texture class was given on the basis of soil hygroscopicity, the reliability of SWRC estimation was significantly worse. For Hungarian soil samples, SWRC estimation methods derived on the MARTHA dataset were found to be significantly more reliable than the HYPRES and HUNSODA methods. The SWRC estimations calculated from hy were significantly more reliable for this dataset than those of HYPRES method of WÖSTEN et al. (1999), despite the fact that the latter was not influenced by errors in texture classification.JRC.H.5-Land Resources Managemen