3 resultados para Protein-Energy Malnutrition

em Digital Commons at Florida International University


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Acquired Immune Deficiency Syndrome (AIDS) and impaired or threatened nutritional status seem to be closely related. It is now known that AIDS results in many nutritional disorders including anorexia, vomiting, protein-energy malnutrition (PEM), nutrient deficiencies, and gastrointestinal, renal, and hepatic dysfunction (1-7, 8). Reversibly, nutritional status may also have an impact on the development of AIDS among HIV-infected people. Not all individuals who have tested antibody positive for the Human Immunodeficiency Virus (HIV) have developed AIDS or have even shown clinical symptoms (9, 10). A poor nutritional status, especially PEM, has a depressing effect on immunity which may predispose an individual to infection (11). It has been proposed that a qualitatively or quantitatively deficient diet could be among the factors precipitating the transition from HIV-positive to AIDS (12, 13). The interrelationship between nutrition and AIDS reveals the importance of having a multidisciplinary health care team approach to treatment (11), including having a registered dietitian on the medical team. With regards to alimentation, the main responsibility of a dietitian is to inform the public concerning sound nutritional practices and encourage healthy food habits (14). In individuals with inadequate nutritional behavior, a positive, long-term change has been seen when nutrition education tailored to specific physiological and emotional needs was provided along with psychological support through counseling (14). This has been the case for patients with various illnesses and may also be true in AIDS patients as well. Nutritional education specifically tailored for each AIDS patient could benefit the patient by improving the quality of life and preventing or minimizing weight loss and malnutrition (15-17). Also, it may influence the progression of the disease by delaying the onset of the most severe symptoms and increasing the efficacy of medical treatment (18, 19). Several studies have contributed to a dietary rationale for nutritional intervention in HIV-infected and AIDS patients (2, 4, 20-25). Prospective, randomized clinical research in AIDS patients have not yet been published to support this dietary rationale; however, isolated case reports show its suitability (3). Furthermore, only nutrition intervention as applied by a medical team in an institution or hospital has been evaluated. Research is lacking concerning the evaluation of nutritional education of either non-institutionalized or hospitalized groups of persons who are managing their own food choice and intake. This study compares nutrition knowledge and food intakes in HIV-infected individuals prior to and following nutrition education. It was anticipated that education would increase the knowledge of nutritional care of AIDS patients and lead to better implementation of nutrition education programs.

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The physics of self-organization and complexity is manifested on a variety of biological scales, from large ecosystems to the molecular level. Protein molecules exhibit characteristics of complex systems in terms of their structure, dynamics, and function. Proteins have the extraordinary ability to fold to a specific functional three-dimensional shape, starting from a random coil, in a biologically relevant time. How they accomplish this is one of the secrets of life. In this work, theoretical research into understanding this remarkable behavior is discussed. Thermodynamic and statistical mechanical tools are used in order to investigate the protein folding dynamics and stability. Theoretical analyses of the results from computer simulation of the dynamics of a four-helix bundle show that the excluded volume entropic effects are very important in protein dynamics and crucial for protein stability. The dramatic effects of changing the size of sidechains imply that a strategic placement of amino acid residues with a particular size may be an important consideration in protein engineering. Another investigation deals with modeling protein structural transitions as a phase transition. Using finite size scaling theory, the nature of unfolding transition of a four-helix bundle protein was investigated and critical exponents for the transition were calculated for various hydrophobic strengths in the core. It is found that the order of the transition changes from first to higher order as the strength of the hydrophobic interaction in the core region is significantly increased. Finally, a detailed kinetic and thermodynamic analysis was carried out in a model two-helix bundle. The connection between the structural free-energy landscape and folding kinetics was quantified. I show how simple protein engineering, by changing the hydropathy of a small number of amino acids, can enhance protein folding by significantly changing the free energy landscape so that kinetic traps are removed. The results have general applicability in protein engineering as well as understanding the underlying physical mechanisms of protein folding. ^

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A deep understanding of the proteins folding dynamics can be get quantifying folding landscape by calculating how the number of microscopic configurations (entropy) varies with the energy of the chain, Ω=Ω(E). Because of the incredibly large number of microstates available to a protein, direct enumeration of Ω(E) is not possible on realistic computer simulations. An estimate of Ω(E) can be obtained by use of a combination of statistical mechanics and thermodynamics. By combining different definitions of entropy that are valid for a system whose probability for occupying a state is given by the canonical Boltzmann probability, computers allow the determination of Ω(E). ^ The energy landscapes of two similar, but not identical model proteins were studied. One protein contains no kinetic tracks. Results show a smooth funnel for the folding landscape. That allows the contour determination of the folding funnel. Also it was presented results for the folding landscape for a modified protein with kinetic traps. Final results show that the computational approach is able to distinguish and explore regions of the folding landscape that are due to kinetic traps from the native state folding funnel.^