941 resultados para indirect quantification
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1. Costs of reproduction lie at the core of basic ecological and evolutionary theories, and their existence is commonly invoked to explain adaptive processes. Despite their sheer importance, empirical evidence for the existence and quantification of costs of reproduction in tree species comes mostly from correlational studies, while more comprehensive approaches remain missing. Manipulative experiments are a preferred approach to study cost of reproduction, as they allow controlling for otherwise inherent confounding factors like size or genetic background. 2. Here, we conducted a manipulative experiment in a Pinus halepensis common garden, removing developing cones from a group of trees and comparing growth and reproduction after treatment with a control group. We also estimated phenotypic and genetic correlations between reproductive and vegetative traits. 3. Manipulated trees grew slightly more than control trees just after treatment, with just a transient, marginally non-significant difference. By contrast, larger differences were observed for the number of female cones initiated 1 year after treatment, with an increase of 70% more cones in the manipulated group. Phenotypic and genetic correlations showed that smaller trees invested a higher proportion of their resources in reproduction, compared with larger trees, which could be interpreted as an indirect evidence for costs of reproduction. 4. Synthesis. This research showed a high impact of current reproduction on reproductive potential, even when not significant on vegetative growth. This has strong implications for how we understand adaptive strategies in forest trees and should encourage further interest on their still poorly known reproductive life-history traits.
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OBJECTIVES: The purpose of this study was to compare myocardial blood flow (MBF) and myocardial flow reserve (MFR) estimates from rubidium-82 positron emission tomography ((82)Rb PET) data using 10 software packages (SPs) based on 8 tracer kinetic models. BACKGROUND: It is unknown how MBF and MFR values from existing SPs agree for (82)Rb PET. METHODS: Rest and stress (82)Rb PET scans of 48 patients with suspected or known coronary artery disease were analyzed in 10 centers. Each center used 1 of 10 SPs to analyze global and regional MBF using the different kinetic models implemented. Values were considered to agree if they simultaneously had an intraclass correlation coefficient >0.75 and a difference <20% of the median across all programs. RESULTS: The most common model evaluated was the Ottawa Heart Institute 1-tissue compartment model (OHI-1-TCM). MBF values from 7 of 8 SPs implementing this model agreed best. Values from 2 other models (alternative 1-TCM and Axially distributed) also agreed well, with occasional differences. The MBF results from other models (e.g., 2-TCM and retention) were less in agreement with values from OHI-1-TCM. CONCLUSIONS: SPs using the most common kinetic model-OHI-1-TCM-provided consistent results in measuring global and regional MBF values, suggesting that they may be used interchangeably to process data acquired with a common imaging protocol.
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A highly sensitive ultra-high performance liquid chromatography tandem mass spectrometry (UHPLC-MS/MS) method was developed for the quantification of buprenorphine and its major metabolite norbuprenorphine in human plasma. In order to speed up the process and decrease costs, sample preparation was performed by simple protein precipitation with acetonitrile. To the best of our knowledge, this is the first application of this extraction technique for the quantification of buprenorphine in plasma. Matrix effects were strongly reduced and selectivity increased by using an efficient chromatographic separation on a sub-2μm column (Acquity UPLC BEH C18 1.7μm, 2.1×50mm) in 5min with a gradient of ammonium formate 20mM pH 3.05 and acetonitrile as mobile phase at a flow rate of 0.4ml/min. Detection was made using a tandem quadrupole mass spectrometer operating in positive electrospray ionization mode, using multiple reaction monitoring. The procedure was fully validated according to the latest Food and Drug Administration guidelines and the Société Française des Sciences et Techniques Pharmaceutiques. Very good results were obtained by using a stable isotope-labeled internal standard for each analyte, to compensate for the variability due to the extraction and ionization steps. The method was very sensitive with lower limits of quantification of 0.1ng/ml for buprenorphine and 0.25ng/ml for norbuprenorphine. The upper limit of quantification was 250ng/ml for both drugs. Trueness (98.4-113.7%), repeatability (1.9-7.7%), intermediate precision (2.6-7.9%) and internal standard-normalized matrix effects (94-101%) were in accordance with international recommendations. The procedure was successfully used to quantify plasma samples from patients included in a clinical pharmacogenetic study and can be transferred for routine therapeutic drug monitoring in clinical laboratories without further development.
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Posaconazole (POS) is a new antifungal agent for prevention and therapy of mycoses in immunocompromised patients. Variable POS pharmacokinetics after oral dosing may influence efficacy: a trough threshold of 0.5 ?g/ml has been recently proposed. Measurement of POS plasma concentrations by complex chromatographic techniques may thus contribute to optimize prevention and management of life-threatening infections. No microbiological analytical method is available. The objective of this study was to develop and validate a new simplified ultra-performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS) method and a sensitive bioassay for quantification of POS over the clinical plasma concentration range. The UPLC-MS/MS equipment consisted of a triple quadrupole mass spectrometer, an electrospray ionization (ESI) source, and a C(18) analytical column. The Candida albicans POS-hypersusceptible mutant (MIC of 0.002 ?g/ml) ?cdr1 ?cdr2 ?flu ?mdr1 ?can constructed by targeted deletion of multidrug efflux transporters and calcineurin genes was used for the bioassay. POS was extracted from plasma by protein precipitation with acetonitrile-methanol (75%/25%, vol/vol). Reproducible standard curves were obtained over the range 0.014 to 12 (UPLC-MS/MS) and 0.028 to 12 ?g/ml (bioassay). Intra- and interrun accuracy levels were 106% ± 2% and 103% ± 4% for UPLC-MS/MS and 102% ± 8% and 104% ± 1% for bioassay, respectively. The intra- and interrun coefficients of variation were 7% ± 4% and 7% ± 3% for UPLC-MS/MS and 5% ± 3% and 4% ± 2% for bioassay, respectively. An excellent correlation between POS plasma concentrations measured by UPLC-MS/MS and bioassay was found (concordance, 0.96). In 26 hemato-oncological patients receiving oral POS, 27/69 (39%) trough plasma concentrations were lower than 0.5 ?g/ml. The UPLC-MS/MS method and sensitive bioassay offer alternative tools for accurate and precise quantification of the plasma concentrations in patients receiving oral posaconazole.
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In this article we propose a novel method for calculating cardiac 3-D strain. The method requires the acquisition of myocardial short-axis (SA) slices only and produces the 3-D strain tensor at every point within every pair of slices. Three-dimensional displacement is calculated from SA slices using zHARP which is then used for calculating the local displacement gradient and thus the local strain tensor. There are three main advantages of this method. First, the 3-D strain tensor is calculated for every pixel without interpolation; this is unprecedented in cardiac MR imaging. Second, this method is fast, in part because there is no need to acquire long-axis (LA) slices. Third, the method is accurate because the 3-D displacement components are acquired simultaneously and therefore reduces motion artifacts without the need for registration. This article presents the theory of computing 3-D strain from two slices using zHARP, the imaging protocol, and both phantom and in-vivo validation.
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RESUME Les maladies cardio-vasculaires représentent la cause la plus importante de mortalité et de morbidité dans les pays occidentaux. La thérapie génique offre une nouvelle approche au traitement de ces maladies. L'expression de gènes protecteurs dans le myocarde par des technologies de transfert génique peut améliorer la fonction ventriculaire lors de l'insuffisance cardiaque ou stimuler la formation de nouveaux vaisseaux dans la maladie coronarienne. Etant donné qu'une majorité des maladies cardiaques sont des maladies chroniques, l'expression durable du gène thérapeutique introduit dans le coeur est souhaitable dans de nombreux cas. Malheureusement, l'utilité des vecteurs de transfert génique les plus utilisés en thérapie génique cardiovasculaire est limitée par une performance faible (ADN plasmidique) et une courte durée d'expression (adénovirus). Récemment, des vecteurs de transfert génique dérivés des lentivirus, une sous-famille des rétrovirus, ont retenu l'attention de la communauté scientifique en raison de leur capacité à exprimer des gènes à long terme. Contrairement aux vecteurs rétroviraux traditionnels, les vecteurs lentiviraux transduisent des gènes même dans des cellules qui ne se divisent pas, ce qui est le cas des cardiomyocytes adultes. Ces vecteurs présentent un profil de biosécurité comparable à celui des vecteurs rétroviraux traditionnels. Nous avons donc décidé de tester l'utilité des vecteurs lentiviraux pour le transfert génique dans des cardiomyocytes de rat adulte in vitro et in vivo. Plusieurs versions de vecteurs lentiviraux contenant différent promoteurs ont été construites. Ces vecteurs contenant le gène marqueur EGFP (enhanced green fluorescent protein) ont été testés dans des cardiomyocytes de rat in vitro, ainsi que dans des coeurs de rat in vivo. Le but de ces expériences était de déterminer la durée de l'expression du transgène après injection intramyocardique chez le rat. Pour ce faire, nous avons développé une technique ELISA pour détecter la protéine EGFP dans des extraits de tissu cardiaque. Les résultats ont montré que la protéine EGFP était encore présente à des niveaux significatifs jusqu'à dix semaines après l'injection de vecteurs lentiviraux, alors que l'expression transgénique obtenue avec un vecteur adénoviral traditionnel a été plus limitée dans le temps. Ces résultats démontrent la capacité des vecteurs lentiviraux à exprimer des gènes d'intérêt de manière performante et stable dans le cur de rat adulte in vivo. SUMMARY Cardiovascular diseases are the first cause of morbidity and mortality in Western countries. Gene therapy offers a new approach to these diseases. Expression of therapeutic genes in the myocardium by gene transfer technologies can improve ventricular function in heart failure and stimulate neovascularization in coronary disease. Chronic heart diseases likely require sustained expression of the therapeutic gene within the heart itself. Unfortunately, the most commonly used vectors in cardiovascular gene therapy, i.e. plasmid DNA and recombinant adenovirus vectors, are limited by poor DNA uptake and transient transgene expression, respectively. Recently, lentivirus-derived vectors have attracted much interest because of their ability to achieve long-term transgene expression. In contrast to traditional retroviral vectors, lentiviral vectors are also able to transduce non- dividing cells, while presenting a comparable biosafety profile. Adult cardiomyocytes are terminally differentiated cells that do not divide under normal conditions. For these reasons, we have decided to evaluate the efficiency of lentiviral vectors for gene-transduction of adult cardiomyocytes both in vitro and in vivo. We constructed various types of lentiviral vectors containing various promoters. Vectors encoding EGFP as a reporter gene were tested in rat cardiomyocytes in vitro and in rat hearts in vivo. The aim of the experiments involved in this thesis work was to determine the duration of the expression of the transgene after rat intramyocardial injection using a quantitative assay. Therefore, an ELISA technique was set up to measure the EGFP protein in rat heart tissue extracts. Our results showed that the EGFP protein was still present at significant levels at ten weeks after lentiviral vector injection, whereas the duration of expression with adenoviral vectors was shorter. These results demonstrate that lentiviral vectors efficiently deliver genes and achieve sustained transgene expression in adult rat cardiomyocytes in vivo.
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This study uses digital elevation models and ground-penetrating radar to quantify the relation between the surface morphodynamics and subsurface sedimentology in the sandy braided South Saskatchewan River, Canada. A unique aspect of the methodology is that both digital elevation model and ground-penetrating radar data were collected from the same locations in 2004, 2005, 2006 and 2007, thus enabling the surface morphodynamics to be tied explicitly to the associated evolving depositional product. The occurrence of a large flood in 2005 also allowed the influence of discharge to be assessed with respect to the processproduct relationship. The data demonstrate that the morphology of the study reach evolved even during modest discharges, but more extensive erosion was caused by the large flood. In addition, the study reach was dominated by compound bars before the flood, but switched to being dominated by unit bars during and after the flood. The extent to which the subsurface deposits (the product') were modified by the surface morphodynamics (the process') was quantified using the changes in radar-facies recorded in sequential ground-penetrating radar surveys. These surveys reveal that during the large flood there was an increase in the proportion of facies associated with bar margin accretion and larger dunes. In subsequent years, these facies became truncated and replaced with facies associated with smaller dune sets. This analysis shows that unit bars generally become truncated more laterally than vertically and, thus, they lose the high-angle bar margin deposits and smaller scale bar-top deposits. In general, the only fragments that remain of the unit bars are dune sets, thus making identification of the original unit barform problematic. This novel data set has implications for what may ultimately become preserved in the rock record.
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Background: Proliferative retinopathy is an important cause of vision loss in diabetic patients. Incomplete panretinal photocoagulation (PRP) can lead to recurrent proliferation of new vessels. Patients and Methods: We retrospectively analysed the outcome of patients with high risk proliferative diabetic retinopathy (PDR) previously treated with slit lamp PRP who underwent indirect fill in argon laser treatment with scleral indentation under anesthesia for persistent neovascular proliferation. Results: Seventeen eyes of ten patients were included. The mean age at diabetes onset was 17.3 years SD 16.2 (range 2-44). All patients reported long standing poor glycemic control (mean HbA1c: 8.5 % SD 1.3 range 5.9-10.2). The area of retinal ischemia decreased significantly from 15 ± 7.5 disk areas (DA) before fill-in laser to 3.2 ± 4.2 DA after fill-in laser (p = 0.001). The new vessels also regressed significantly after laser treatment 8.6 ± 6.1 DA before treatment versus 6.5 ± 6.4 DA after laser treatment, (p = 0.044). Quiescent PDR was reached in 10 eyes (58.8 %) at the last visit. Conclusions: Fill-in indirect argon laser under general anesthesia should be considered to achieve further new vessels regression in high risk PDR patients. Scleral indentation and absence of pain may allow for more extensive laser application.
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Recent laboratory studies have suggested that heart rate variability (HRV) may be an appropriate criterion for training load (TL) quantification. The aim of this study was to validate a novel HRV index that may be used to assess TL in field conditions. Eleven well-trained long-distance male runners performed four exercises of different duration and intensity. TL was evaluated using Foster and Banister methods. In addition, HRV measurements were performed 5 minutes before exercise and 5 and 30 minutes after exercise. We calculated HRV index (TLHRV) based on the ratio between HRV decrease during exercise and HRV increase during recovery. HRV decrease during exercise was strongly correlated with exercise intensity (R = -0.70; p < 0.01) but not with exercise duration or training volume. TLHRV index was correlated with Foster (R = 0.61; p = 0.01) and Banister (R = 0.57; p = 0.01) methods. This study confirms that HRV changes during exercise and recovery phase are affected by both intensity and physiological impact of the exercise. Since the TLHRV formula takes into account the disturbance and the return to homeostatic balance induced by exercise, this new method provides an objective and rational TL index. However, some simplification of the protocol measurement could be envisaged for field use.
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Approximate models (proxies) can be employed to reduce the computational costs of estimating uncertainty. The price to pay is that the approximations introduced by the proxy model can lead to a biased estimation. To avoid this problem and ensure a reliable uncertainty quantification, we propose to combine functional data analysis and machine learning to build error models that allow us to obtain an accurate prediction of the exact response without solving the exact model for all realizations. We build the relationship between proxy and exact model on a learning set of geostatistical realizations for which both exact and approximate solvers are run. Functional principal components analysis (FPCA) is used to investigate the variability in the two sets of curves and reduce the dimensionality of the problem while maximizing the retained information. Once obtained, the error model can be used to predict the exact response of any realization on the basis of the sole proxy response. This methodology is purpose-oriented as the error model is constructed directly for the quantity of interest, rather than for the state of the system. Also, the dimensionality reduction performed by FPCA allows a diagnostic of the quality of the error model to assess the informativeness of the learning set and the fidelity of the proxy to the exact model. The possibility of obtaining a prediction of the exact response for any newly generated realization suggests that the methodology can be effectively used beyond the context of uncertainty quantification, in particular for Bayesian inference and optimization.