998 resultados para heart output
Resumo:
Apart from its role as a flow generator for ventilation the diaphragm has a circulatory role. The cyclical abdominal pressure variations from its contractions cause swings in venous return from the splanchnic venous circulation. During exercise the action of the abdominal muscles may enhance this circulatory function of the diaphragm. Eleven healthy subjects (25 ± 7 year, 70 ± 11 kg, 1.78 ± 0.1 m, 3 F) performed plantar flexion exercise at ~4 METs. Changes in body volume (ΔVb) and trunk volume (ΔVtr) were measured simultaneously by double body plethysmography. Volume of blood shifts between trunk and extremities (Vbs) was determined non-invasively as ΔVtr-ΔVb. Three types of breathing were studied: spontaneous (SE), rib cage (RCE, voluntary emphasized inspiratory rib cage breathing), and abdominal (ABE, voluntary active abdominal expiration breathing). During SE and RCE blood was displaced from the extremities into the trunk (on average 0.16 ± 0.33 L and 0.48 ± 0.55 L, p < 0.05 SE vs. RCE), while during ABE it was displaced from the trunk to the extremities (0.22 ± 0.20 L p < 0.001, p < 0.05 RCE and SE vs. ABE respectively). At baseline, Vbs swings (maximum to minimum amplitude) were bimodal and averaged 0.13 ± 0.08 L. During exercise, Vbs swings consistently increased (0.42 ± 0.34 L, 0.40 ± 0.26 L, 0.46 ± 0.21 L, for SE, RCE and ABE respectively, all p < 0.01 vs. baseline). It follows that during leg exercise significant bi-directional blood shifting occurs between the trunk and the extremities. The dynamics and partitioning of these blood shifts strongly depend on the relative predominance of the action of the diaphragm, the rib cage and the abdominal muscles. Depending on the partitioning between respiratory muscles for the act of breathing, the distribution of blood between trunk and extremities can vary by up to 1 L. We conclude that during exercise the abdominal muscles and the diaphragm might play a role of an "auxiliary heart."
Resumo:
LncRNAs are transcripts greater than 200 nucleotides in length with no apparent coding potential. They exert important regulatory functions in the genome. Their role in cardiac fibrosis is however unexplored. To identify IncRNAs that could modulate cardiac fibrosis, we profiled the long non-coding transcriptome in the infarcted mouse heart, and identified 1500 novel IncRNAs. These IncRNAs have unique characteristics such as high tissue and cell type specificity. Their expression is highly correlated with parameters of cardiac dimensions and function. The majority of these novel IncRNAs are conserved in human. Importantly, human IncRNAs appear to be differentially expressed in heart disease. Using a computational pipeline, we identified a super-enhancer-associated IncRNA, which is dynamically expressed after myocardial infarction. We named this particular transcript Wisper for «Wisp2 super-enhancer- derived IncRNA ». Interestingly, Wisper expression is overexpressed in cardiac fibroblasts as compared to cardiomyocytes or to fibroblasts isolated from other organs than the heart. The importance of Wisper in the biology of fibroblasts was demonstrated in knockdown experiments. Differentiation of cardiac fibroblast into myofibroblasts in vitro is significantly impaired upon Wisper knockdown. Wisper downregulation in cardiac fibroblasts results in a dramatic reduction of fibrotic gene expression, a diminished cell proliferation and an increase in apoptotic cell death. In vivo, depletion of Wisper during the acute phase of the response to infarction is detrimental via increasing the risk of cardiac rupture. On the other hand, Wisper knockdown following infarction in a prevention study reduces fibrosis and preserves cardiac function. Since WISPER is detectable in the human heart, where it is associated with severe cardiac fibrosis, these data suggest that Wisper could represent a novel therapeutic target for limiting the extent of the fibrotic response in the heart. -- Les long ARN non-codants (IncRNAs) sont des ARN de plus de 200 nucléotides qui ne codent pas pour des protéines. Ils exercent d'importantes fonctions dans le génome. Par contre, leur importance dans le développement de la fibrose cardiaque n'a pas été étudiée. Pour identifier des IncRNAs jouant un rôle dans ce processus, le transcriptome non-codant a été étudié dans le coeur de'souris après un infarctus du myocarde. Nous avons découverts 1500 nouveaux IncRNAs. Ces transcrits ont d'uniques caractéristiques. En particulier ils sont extrêmement spécifiques de sous-populations de cellules cardiaques. Par ailleurs, leur expression est remarquablement corrélée avec les paramètres définissant les dimensions du coeur et la fonction cardiaque. La majorité de ces IncRNAs sont conservés chez l'humain. Certains sont modulés dans des pathologies cardiaques. En utilisant une approche bioinformatique, nous avons identifié un IncRNA qui est associé à des séquences amplificatrices et qui est particulièrement enrichi dans les fibroblastes cardiaques. Ce transcrit a été nommé Wisper pour «Wisp2 super-enhancer-derived IncRNA ». L'importance de Wisper dans la biologie des fibroblastes cardiaques est démontrée dans des expériences de déplétion. En l'absence de Wisper, l'expression de protéines impliquées dans le développement de la fibrose est dramatiquement réduite dans les fibroblastes cardiaques. Ceux-ci montrent une prolifération réduite. Le niveau d'apoptose est largement augmenté. In vivo, la déplétion de Wisper pendant la phase aiguë de l'infarctus rehausse le risque de rupture cardiaque. Au contraire, la réduction de l'expression de Wisper pendant la phase chronique diminue la fibrose cardiaque et améliore la fonction du coeur. Puisque Wisper est exprimé dans le coeur humain, ce transcrit représente une nouvelle cible thérapeutique pour limiter la réponse fibrotique dans le coeur.
Resumo:
Global warming mitigation has recently become a priority worldwide. A large body of literature dealing with energy related problems has focused on reducing greenhouse gases emissions at an engineering scale. In contrast, the minimization of climate change at a wider macroeconomic level has so far received much less attention. We investigate here the issue of how to mitigate global warming by performing changes in an economy. To this end, we make use of a systematic tool that combines three methods: linear programming, environmentally extended input output models, and life cycle assessment principles. The problem of identifying key economic sectors that contribute significantly to global warming is posed in mathematical terms as a bi criteria linear program that seeks to optimize simultaneously the total economic output and the total life cycle CO2 emissions. We have applied this approach to the European Union economy, finding that significant reductions in global warming potential can be attained by regulating specific economic sectors. Our tool is intended to aid policymakers in the design of more effective public policies for achieving the environmental and economic targets sought.
Resumo:
Obesity has become the leading cause of many chronic diseases, such as type 2 diabetes and cardiovascular diseases. The prevalence of obesity is high in developed countries and it is also a major cause of the use of health services. Ectopic fat accumulation in organs may lead to metabolic disturbances, such as insulin resistance.Weight loss with very-low-energy diet is known to be safe and efficient. Weight loss improves whole body insulin sensitivity, but its effects on tissue and organ level in vivo are not well known. The aims of the studies were to investigate possible changes of weight loss in glucose and fatty acid uptake and perfusion and fat distribution at tissue and organ level using positron emission tomography and magnetic resonance imaging and spectroscopy in 34 healthy obese subjects. The results showed that whole-body insulin sensitivity increased after weight loss with very-low-energy diet and this is associated with improved skeletal muscle insulin-stimulated glucose uptake, but not with adipose tissue, liver or heart glucose uptake. Liver insulin resistance decreased after weight loss. Liver and heart free fatty acid uptakes decreased concomitantly with liver and heart triglyceride content. Adipose tissue and myocardial perfusion decreased. In conclusion, enhanced skeletal muscle glucose uptake leads to increase in whole-body insulin sensitivity when glucose uptake is preserved in other organs studied. These findings suggest that lipid accumulation found in the liver and the heart in obese subjects without co-morbidies is in part reversible by reduced free fatty acid uptake after weight loss. Reduced lipid accumulation in organs may improve metabolic disturbances, e.g. decrease liver insulin resistance. Keywords: Obesity, weight loss, very-low-energy diet, adipose tissue metabolism, liver metabolism, heart metabolism, positron emission tomography
Resumo:
Gene therapy aims to treat diseases by introducing genetic material to the diseased tissue. For cancer treatment it is important to destroy cancerous cells; this can be achieved by introducing a gene, which induces cell death or by allowing viral vectors to replicate, which also results in destruction of cancerous cells. For cardiac diseases the approach is more like the former, except the gene produces beneficial effects, like angiogenesis. Adenoviruses have many beneficial qualities, which make the virus an interesting gene therapy vector; it can be produced relatively easily, its manipulation is quite easy and it has naturally broad tropism. By removing or replacing certain genes in the adenoviral genome, it can be made non-replicative. In this study, adenoviral receptor expression patterns were characterized in both head and neck squamous cell carcinoma and the human heart. Adenovirus serotype 5 receptor expression in head and neck cancer cell lines was found to be highly variable between cell lines and overall at lower levels, while Ad35 receptor expression was more uniform and at higher levels in all analyzed cell lines. It was also shown that a hybrid virus Ad5/35 is able to infect cells refractory to Ad5, which correlates with receptor expression in these cells. Furthermore, this difference in infection properties extends to cell killing efficiency in case of conditionally replicative viruses. Expression levels of adenoviral receptors CAR, CD46, CD86 and αv-integrins were found to be high both in normal and dilated cardiomyopathy heart tissue. The receptor levels also correlate with transduction efficiency after intracardiac injection. Ad5 showed superior transduction ability compared with Ad5/35, but evoked also a more profound immune reaction when administered this way. Adenoviral gene therapy vectors are the most used delivery vehicles in clinical trials to date. These vectors have proven to be well tolerated and positive results have been obtained when combined with traditional treatments, although poor transduction efficiency has often been reported due to low-level expression of viral receptors on target cells. In spite of this, the results are encouraging and merit for further research.
Resumo:
This dissertation describes a networking approach to infinite-dimensional systems theory, where there is a minimal distinction between inputs and outputs. We introduce and study two closely related classes of systems, namely the state/signal systems and the port-Hamiltonian systems, and describe how they relate to each other. Some basic theory for these two classes of systems and the interconnections of such systems is provided. The main emphasis lies on passive and conservative systems, and the theoretical concepts are illustrated using the example of a lossless transfer line. Much remains to be done in this field and we point to some directions for future studies as well.
Resumo:
In this work a fuzzy linear system is used to solve Leontief input-output model with fuzzy entries. For solving this model, we assume that the consumption matrix from di erent sectors of the economy and demand are known. These assumptions heavily depend on the information obtained from the industries. Hence uncertainties are involved in this information. The aim of this work is to model these uncertainties and to address them by fuzzy entries such as fuzzy numbers and LR-type fuzzy numbers (triangular and trapezoidal). Fuzzy linear system has been developed using fuzzy data and it is solved using Gauss-Seidel algorithm. Numerical examples show the e ciency of this algorithm. The famous example from Prof. Leontief, where he solved the production levels for U.S. economy in 1958, is also further analyzed.
Resumo:
Quite often, in the construction of a pulp mill involves establishing the size of tanks which will accommodate the material from the various processes in which case estimating the right tank size a priori would be vital. Hence, simulation of the whole production process would be worthwhile. Therefore, there is need to develop mathematical models that would mimic the behavior of the output from the various production units of the pulp mill to work as simulators. Markov chain models, Autoregressive moving average (ARMA) model, Mean reversion models with ensemble interaction together with Markov regime switching models are proposed for that purpose.
Resumo:
Hepatic hemangioendothelioma is the most frequent hepatic tumor in infancy, but rarely detected in adults. This tumor can cause vascular lesions that can act as arteriovenous fistulas and produce life-threatening high output congestive heart failure with respiratory compromise. We report a case of a 35 years-old woman who developed nausea, vomiting, weight lost and abdominal mass in which the pathological examination of the hepatic lesion showed a infantile hepatic hamangioendothelioma. This is the third case in adult patients described in the literature.