97 resultados para rejection algorithm
Resumo:
Endothelin regulates cytokine expression in vitro and in vivo. This study investigated the effects of chronic allograft rejection on hepatic endothelin-converting enzyme-1 (ECE-1) gene expression and endothelin-1 (ET-1) plasma clearance. Using the Lewis-F344 minor histocompatibility mismatch model of heterotopic cardiac transplantation, hepatic ECE-1 gene expression was measured by real-time polymerase chain reaction and host plasma clearance of ET-1 was measured 8 weeks after transplantation in the absence of immunosuppression. In animals undergoing allograft rejection, hepatic ECE-1 gene expression increased 2-fold (P < 0.05), whereas no effect of rejection on ET-1 clearance from plasma was observed. In summary, upregulation of ECE-1 gene expression occurs in the liver of the host during chronic allograft rejection. Because the liver represents both a key organ for cytokine production and for endothelin metabolism, increased hepatic ECE-1-mediated ET-1 synthesis may contribute to host responses and cytokine production during allograft rejection.
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The problem of re-sampling spatially distributed data organized into regular or irregular grids to finer or coarser resolution is a common task in data processing. This procedure is known as 'gridding' or 're-binning'. Depending on the quantity the data represents, the gridding-algorithm has to meet different requirements. For example, histogrammed physical quantities such as mass or energy have to be re-binned in order to conserve the overall integral. Moreover, if the quantity is positive definite, negative sampling values should be avoided. The gridding process requires a re-distribution of the original data set to a user-requested grid according to a distribution function. The distribution function can be determined on the basis of the given data by interpolation methods. In general, accurate interpolation with respect to multiple boundary conditions of heavily fluctuating data requires polynomial interpolation functions of second or even higher order. However, this may result in unrealistic deviations (overshoots or undershoots) of the interpolation function from the data. Accordingly, the re-sampled data may overestimate or underestimate the given data by a significant amount. The gridding-algorithm presented in this work was developed in order to overcome these problems. Instead of a straightforward interpolation of the given data using high-order polynomials, a parametrized Hermitian interpolation curve was used to approximate the integrated data set. A single parameter is determined by which the user can control the behavior of the interpolation function, i.e. the amount of overshoot and undershoot. Furthermore, it is shown how the algorithm can be extended to multidimensional grids. The algorithm was compared to commonly used gridding-algorithms using linear and cubic interpolation functions. It is shown that such interpolation functions may overestimate or underestimate the source data by about 10-20%, while the new algorithm can be tuned to significantly reduce these interpolation errors. The accuracy of the new algorithm was tested on a series of x-ray CT-images (head and neck, lung, pelvis). The new algorithm significantly improves the accuracy of the sampled images in terms of the mean square error and a quality index introduced by Wang and Bovik (2002 IEEE Signal Process. Lett. 9 81-4).
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The GLAaS algorithm for pretreatment intensity modulation radiation therapy absolute dose verification based on the use of amorphous silicon detectors, as described in Nicolini et al. [G. Nicolini, A. Fogliata, E. Vanetti, A. Clivio, and L. Cozzi, Med. Phys. 33, 2839-2851 (2006)], was tested under a variety of experimental conditions to investigate its robustness, the possibility of using it in different clinics and its performance. GLAaS was therefore tested on a low-energy Varian Clinac (6 MV) equipped with an amorphous silicon Portal Vision PV-aS500 with electronic readout IAS2 and on a high-energy Clinac (6 and 15 MV) equipped with a PV-aS1000 and IAS3 electronics. Tests were performed for three calibration conditions: A: adding buildup on the top of the cassette such that SDD-SSD = d(max) and comparing measurements with corresponding doses computed at d(max), B: without adding any buildup on the top of the cassette and considering only the intrinsic water-equivalent thickness of the electronic portal imaging devices device (0.8 cm), and C: without adding any buildup on the top of the cassette but comparing measurements against doses computed at d(max). This procedure is similar to that usually applied when in vivo dosimetry is performed with solid state diodes without sufficient buildup material. Quantitatively, the gamma index (gamma), as described by Low et al. [D. A. Low, W. B. Harms, S. Mutic, and J. A. Purdy, Med. Phys. 25, 656-660 (1998)], was assessed. The gamma index was computed for a distance to agreement (DTA) of 3 mm. The dose difference deltaD was considered as 2%, 3%, and 4%. As a measure of the quality of results, the fraction of field area with gamma larger than 1 (%FA) was scored. Results over a set of 50 test samples (including fields from head and neck, breast, prostate, anal canal, and brain cases) and from the long-term routine usage, demonstrated the robustness and stability of GLAaS. In general, the mean values of %FA remain below 3% for deltaD equal or larger than 3%, while they are slightly larger for deltaD = 2% with %FA in the range from 3% to 8%. Since its introduction in routine practice, 1453 fields have been verified with GLAaS at the authors' institute (6 MV beam). Using a DTA of 3 mm and a deltaD of 4% the authors obtained %FA = 0.9 +/- 1.1 for the entire data set while, stratifying according to the dose calculation algorithm, they observed: %FA = 0.7 +/- 0.9 for fields computed with the analytical anisotropic algorithm and %FA = 2.4 +/- 1.3 for pencil-beam based fields with a statistically significant difference between the two groups. If data are stratified according to field splitting, they observed %FA = 0.8 +/- 1.0 for split fields and 1.0 +/- 1.2 for nonsplit fields without any significant difference.
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Extracellular nucleotides (e.g. ATP, UTP, ADP) are released by activated endothelium, leukocytes and platelets within the injured vasculature and bind specific cell-surface type-2 purinergic (P2) receptors. This process drives vascular inflammation and thrombosis within grafted organs. Importantly, there are also vascular ectonucleotidases i.e. ectoenzymes that hydrolyze extracellular nucleotides in the blood to generate nucleosides (viz. adenosine). Endothelial cell NTPDase1/CD39 has been shown to critically modulate levels of circulating nucleotides. This process tends to limit the activation of platelet and leukocyte expressed P2 receptors and also generates adenosine to reverse inflammatory events. This vascular protective CD39 activity is rapidly inhibited by oxidative reactions, such as is observed with liver ischemia reperfusion injury. In this review, we chiefly address the impact of these signaling cascades following liver transplantation. Interestingly, the hepatic vasculature, hepatocytes and all non-parenchymal cell types express several components co-ordinating the purinergic signaling response. With hepatic and vascular dysfunction, we note heightened P2- expression and alterations in ectonucleotidase expression and function that may predispose to progression of disease. In addition to documented impacts upon the vasculature during engraftment, extracellular nucleotides also have direct influences upon liver function and bile flow (both under physiological and pathological states). We have recently shown that alterations in purinergic signaling mediated by altered CD39 expression have major impacts upon hepatic metabolism, repair mechanisms, regeneration and associated immune responses. Future clinical applications in transplantation might involve new therapeutic modalities using soluble recombinant forms of CD39, altering expression of this ectonucleotidase by drugs and/or using small molecules to inhibit deleterious P2-mediated signaling while augmenting beneficial adenosine-mediated effects within the transplanted liver.
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Users of cochlear implant systems, that is, of auditory aids which stimulate the auditory nerve at the cochlea electrically, often complain about poor speech understanding in noisy environments. Despite the proven advantages of multimicrophone directional noise reduction systems for conventional hearing aids, only one major manufacturer has so far implemented such a system in a product, presumably because of the added power consumption and size. We present a physically small (intermicrophone distance 7 mm) and computationally inexpensive adaptive noise reduction system suitable for behind-the-ear cochlear implant speech processors. Supporting algorithms, which allow the adjustment of the opening angle and the maximum noise suppression, are proposed and evaluated. A portable real-time device for test in real acoustic environments is presented.
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Transcriptomics could contribute significantly to the early and specific diagnosis of rejection episodes by defining 'molecular Banff' signatures. Recently, the description of pathogenesis-based transcript sets offered a new opportunity for objective and quantitative diagnosis. Generating high-quality transcript panels is thus critical to define high-performance diagnostic classifier. In this study, a comparative analysis was performed across four different microarray datasets of heterogeneous sample collections from two published clinical datasets and two own datasets including biopsies for clinical indication, and samples from nonhuman primates. We characterized a common transcriptional profile of 70 genes, defined as acute rejection transcript set (ARTS). ARTS expression is significantly up-regulated in all AR samples as compared with stable allografts or healthy kidneys, and strongly correlates with the severity of Banff AR types. Similarly, ARTS were tested as a classifier in a large collection of 143 independent biopsies recently published by the University of Alberta. Results demonstrate that the 'in silico' approach applied in this study is able to identify a robust and reliable molecular signature for AR, supporting a specific and sensitive molecular diagnostic approach for renal transplant monitoring.
Resumo:
In ongoing chronic rejection after lung transplantation, alveolar interstitial fibrosis develops. However, little is known about the mechanisms involved. In order to investigate these mechanisms, expression of extracellular matrix molecules (ECM) (undulin, decorin, tenascin, laminin, and fibronectin) and cytokines [transforming growth factor (TGF)-beta 1, TGF-beta 3, platelet-derived growth factor (PDGF), and PDGF receptor] were semiquantitatively evaluated in chronically rejected lung allografts, using standard immunohistochemical techniques. Additionally, the presence of macrophages was analysed. The present study demonstrates an increased infiltration of macrophages with a concomitant upregulation of cytokines (TGF-beta 1, TGF-beta 3, and PDGF) and an increased deposition of ECM in chronic lung rejection. These cytokines have an important role in the stimulation of fibroblasts which are a major source of ECM. Upregulated expression of ECM in the alveolar interstitial space leads to alveolar malfunction by thickening of the wall and, thus, is one of the causative factors of respiratory dysfunction in chronic lung graft rejection.
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OBJECTIVES: The treatment of recurrent rejection in heart transplant recipients has been a controversial issue for many years. The intent of this retrospective study was to perform a risk-benefit analysis between treatment strategies with bolus steroids only versus anti-thymocyte globulins (RATG; 1.5 mg/kg q 4 days). METHODS: Between 1986 and 1993, 69 of 425 patients (17 male, 52 female; mean age 44 +/- 11 years) who had more than one rejection/patient per month (rej/pt per mo) in the first 3 postoperative months were defined as recurrent rejectors. RESULTS: Repetitive methylprednisolone bolus therapy (70 mg/kg q 3 days) was given in 27 patients (group M; 1.4 +/- 0.2 rej/pt per mo) and RATG therapy for one of the rejection episodes of the 42 remaining patients (group A; 1.5 +/- 0.2 rej/pt per mo). The quality of triple drug immunosuppression in the two study groups was comparable. The rejection-free interval (RFI) following RATG treatment in group A was 21.6 +/- 10 days and 22 +/- 11 in group M. In group M, 3 of 27 patients (11%) had a rejection treatment-related infection (2 bacterial; 1 viral) versus 6 of the 42 patients of group A (14.2%; bacterial 1, viral 5). During postoperative months 3-24, 0.15 +/- 0.12 rej/pat per mo were observed in group M and 0.21 +/- 0.13 rej/pat per mo in group A (n.s.). In this 21-month period cytolytic therapy for rejection was initiated in 8 of the remaining 21 patients of group M (38%) and 15 of the remaining 37 patients of group A (40.5%). The absolute survival and the individual causes of death were not affected by the type of initial treatment of recurrent rejection. The actuarial freedom of graft atherosclerosis is comparable in the two groups with 78% in group A versus 79% in group M free of graft atherosclerosis at 3 years postoperatively. CONCLUSIONS: A comparison of cytolytic therapy versus repeated applications of bolus steroids for treatment of recurrent rejection reveals no significant difference in the long-term patient outcome with respect to the incidence of future rejection episodes and survival.
Resumo:
In the present report the prevalence, severity, and risk factors of tricuspid valve regurgitation (TR) in 251 heart transplant recipients have been analyzed retrospectively. Tricuspid valve function was studied by color-flow Doppler echocardiogram and annual heart catheterization. The presence or severity of TR was graded on a scale from 0 (no TR) to 4 (severe). Additional postoperative data included rate of rejection, number of endomyocardial biopsies, incidence of transplant vasculopathy, and preoperative and postoperative hemodynamics. The incidence of grade 3 TR increases from 5% at 1 year to 50% at 4 years after transplantation. Multivariate analysis showed rate of rejection and donor heart weight to be significant risk factors. The ischemic intervals as well as the preoperative and postoperative pulmonary hemodynamics did not affect the severity or prevalence of TR. These results indicate that various factors appear to have an impact on the development of TR and that the prevalence might be lowered by a reduction of the number of biopsies performed and when possible, oversizing of donor hearts.
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The introduction of cyclosporine A (CyA) into the immunosuppressive therapy has significantly improved the results of heart transplantation (HTX). Its nephrotoxicity and hepatotoxicity, however, often limit the perioperative and postoperative use of this drug. The purpose of this retrospective study was to evaluate the effect of early postoperative CyA blood levels on the incidence of early as well as late cardiac rejection and patients' survival. Between October 1985 and June 1991, HTX was performed in 311 patients. Standard immunosuppression consisted of azathioprine (1-2 mg/kg), prednisolone (0.5 to 0.1 mg/kg) and CyA. Rabbit-antithymocyte-globulin (RATG - 1.5 mg/kg) was administered for the first 4 days postoperatively. Moderate rejection was treated with 3 x 500 mg methylprednisolone, severe rejection with RATG (1.5 mg/kg three times a day). Patients were excluded from this study because of a positive cross-matching, early death unrelated to rejection or alternate forms of immunosuppression (n = 111). Follow-up was complete in 200 patients (mean age 44 +/- 11; 18 female, 182 male; 204,233 patient days) with a total of 5380 biopsies. The cohort was divided into group I (no CyA for day 0 to 2; n = 108) and group II (CyA during day 0 to 2; n = 92) according to the onset of CyA therapy. In 101 patients (group A) the mean CyA blood level was less than 150 ng/ml from day 0 to 14 and in 99 patients more than 150 ng/ml (group B).(ABSTRACT TRUNCATED AT 250 WORDS)
Resumo:
Eotaxin/CCL11 chemokine is expressed in different organs, including the heart, but its precise cellular origin in the heart is unknown. Eotaxin is associated with Th2-like responses and exerts its chemotactic effect through the chemokine receptor-3 (CCR3), which is also expressed on mast cells (MC). The aim of our study was to find the cellular origin of eotaxin in the heart, and to assess whether expression is changing during ongoing acute heart transplant rejection, indicating a correlation with mast cell infiltration which we observed in a previous study. In a model of ongoing acute heart transplant rejection in the rat, we found eotaxin mRNA expression within infiltrating macrophages, but not in mast cells, by in situ-hybridization. A five-fold increase in eotaxin protein in rat heart transplants during ongoing acute rejection was measured on day 28 after transplantation, compared to native and isogeneic control hearts. Eotaxin concentrations in donor hearts on day 28 after transplantation were significantly higher compared to recipient hearts, corroborating an origin of eotaxin from cells within the heart, and not from the blood. The quantitative comparison of eotaxin mRNA expression between native hearts, isografts, and allografts, respectively, revealed no statistically significant difference after transplantation, probably due to an overall increase in the housekeeping gene's 18S rRNA during rejection. Quantitative RT-PCR showed an increase in mRNA expression of CCR3, the receptor for eotaxin, during ongoing acute rejection of rat heart allografts. Although a correlation between increasing eotaxin expression by macrophages and mast cell infiltration is suggestive, functional studies will elucidate the role of eotaxin in the process of ongoing acute heart transplant rejection.
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The current organ shortage in transplantation medicine stimulates the exploration of new strategies to expand the donor pool including the utilisation of living donors, ABO-incompatible grafts, and xenotransplantation. Preformed natural antibodies (Ab) such as anti-Gal or anti-A/B Ab mediate hyperacute graft rejection and thus represent a major hurdle to the employment of such strategies. In contrast to solid organ transplantation (SOT), ABO blood group incompatibilities are of minor importance in haematopoietic stem cell transplantation (HSCT). Thus, ABO incompatible HSCT may serve as an in vivo model to study carbohydrate antigen (Ag)-mismatched transplantations such as ABO-incompatible SOT or the effect of preformed Ab against Gal in xenotransplantation. This mini-review summarises our clinical and experimental studies performed with the support of the Swiss National Science Foundation program on Implants and Transplants (NFP-46). Part 1 describes data on the clinical outcome of ABO-incompatible HSCT, in particular the incidence of several immunohaematological complications, acute graft-versus-host-disease (GvHD), and the overall survival. Part 2 summarises the measurements of anti-A/B Ab in healthy blood donors and ABO-incompatible HSCT using a novel flow cytometry based method and the potential mechanisms responsible for the loss of anti-A/B Ab observed following minor ABO-incompatible HSCT, ie the occurrence of humoral tolerance. Part 3 analyses the potential of eliminating Gal expression as well as specific complement inhibitors such as dextran sulfate and synthetic tyrosine analogues to protect porcine endothelial cells from xenoreactive Ab-mediated damage in vitro and in a hamster-to-rat heart transplantation model. In conclusion, due to similarities of the immunological hurdles of ABO incompatible transplantations and xenotransplantation, the knowledge obtained from both fields might lead to new strategies to overcome humoral rejection in transplantation.
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Abstract Radiation metabolomics employing mass spectral technologies represents a plausible means of high-throughput minimally invasive radiation biodosimetry. A simplified metabolomics protocol is described that employs ubiquitous gas chromatography-mass spectrometry and open source software including random forests machine learning algorithm to uncover latent biomarkers of 3 Gy gamma radiation in rats. Urine was collected from six male Wistar rats and six sham-irradiated controls for 7 days, 4 prior to irradiation and 3 after irradiation. Water and food consumption, urine volume, body weight, and sodium, potassium, calcium, chloride, phosphate and urea excretion showed major effects from exposure to gamma radiation. The metabolomics protocol uncovered several urinary metabolites that were significantly up-regulated (glyoxylate, threonate, thymine, uracil, p-cresol) and down-regulated (citrate, 2-oxoglutarate, adipate, pimelate, suberate, azelaate) as a result of radiation exposure. Thymine and uracil were shown to derive largely from thymidine and 2'-deoxyuridine, which are known radiation biomarkers in the mouse. The radiation metabolomic phenotype in rats appeared to derive from oxidative stress and effects on kidney function. Gas chromatography-mass spectrometry is a promising platform on which to develop the field of radiation metabolomics further and to assist in the design of instrumentation for use in detecting biological consequences of environmental radiation release.
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BACKGROUND: Difference in pulse pressure (dPP) reliably predicts fluid responsiveness in patients. We have developed a respiratory variation (RV) monitoring device (RV monitor), which continuously records both airway pressure and arterial blood pressure (ABP). We compared the RV monitor measurements with manual dPP measurements. METHODS: ABP and airway pressure (PAW) from 24 patients were recorded. Data were fed to the RV monitor to calculate dPP and systolic pressure variation in two different ways: (a) considering both ABP and PAW (RV algorithm) and (b) ABP only (RV(slim) algorithm). Additionally, ABP and PAW were recorded intraoperatively in 10-min intervals for later calculation of dPP by manual assessment. Interobserver variability was determined. Manual dPP assessments were used for comparison with automated measurements. To estimate the importance of the PAW signal, RV(slim) measurements were compared with RV measurements. RESULTS: For the 24 patients, 174 measurements (6-10 per patient) were recorded. Six observers assessed dPP manually in the first 8 patients (10-min interval, 53 measurements); no interobserver variability occurred using a computer-assisted method. Bland-Altman analysis showed acceptable bias and limits of agreement of the 2 automated methods compared with the manual method (RV: -0.33% +/- 8.72% and RV(slim): -1.74% +/- 7.97%). The difference between RV measurements and RV(slim) measurements is small (bias -1.05%, limits of agreement 5.67%). CONCLUSIONS: Measurements of the automated device are comparable with measurements obtained by human observers, who use a computer-assisted method. The importance of the PAW signal is questionable.