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Las secuencias repetidas en tándem, específicamente los mini y micro satélites, han demostrado ser muy eficaces en la clasificación de bacterias patogénicas como B. anthracis, M. tuberculosis y P. aeruginosa, entre otras. En humanos es manifiesta su participación estando relacionados con más de ochenta enfermedades, gran parte de ellas de tipo neurodegenerativas, musculares y algunos tipos de cáncer. La herramienta web que presentamos es el resultado de la detección computacional de estas secuencias en genomas bacterianos completos y su correspondiente anotación en la estructura genómica de acuerdo a las diferentes regiones donde estos se localizan. La herramienta tiene como fin primario brindar un sistema relacional que permita al investigador ubicar los microsatélites de diferentes especies bacterianas, con más de un genoma secuenciado para inferir su posible carácter polimórfico, dentro del contexto de la estructura genómica y así proveer un primer acercamiento al rol putativo que los microsatélites desempeñan desde el punto de vista funcional. La herramienta se puede aplicar no solo en estudios taxonómicos y epidemiológicos sino en la detección de posibles relaciones de estas secuencias con las funciones moleculares, procesos biológicos y, en última instancia, las diversas formas de evolución de estas especies. El sitio web brinda el servicio de consultas a la base de datos de microsatélites bacterianos de acuerdo al sistema de tablas relacionales y atributos propios de las mismas. Cuenta además con los servicios típicos de un sitio con estas características como: sistema de autenticación, foro, encuestas, enlaces y documentación sobre la metodología empleada y del tema en cuestión(AU)

The tandem repeat sequences, especially mini and microsatellites, have proven to be very effective in classification of pathogenic bacteria such as B. anthracis, M. tuberculosis and P. aeruginosa, among others. In human beings it is manifest its participation, being related with over eighty diseases, nearly all neurodegenerative and muscular, and some kinds of cancer. The web tool we are offering here is the result of computational detection of these sequences in whole bacteria genomes, and its respective annotation in the genomic structure according to the different regions where they are localized. The primary goal of this tool is to offer a relational system that allows mapping the microsatellites of bacterial species, all of them with more than one genome sequenced to infer their possible polymorphic character, in the context of genomic structure and thus providing a first approach to the putative role they perform from the functional point of view. The tool can be applied not only in taxonomical and epidemiological studies but in the detection of possible relationships of these sequences with the molecular functions, the biological processes and, as a last resort, the different forms of these species evolution. The web site offers the service of queries to the bacterial microsatellites database according to the related tables and its inherent attributes. It also has the typical services of this kind of site like: logging system, forum, polls, links and documentation about the employed methodology and the topic(AU)

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BACKGROUND: The angiotensin converting enzyme (ACE) is a key protein of the renin angiotensin system, whose main function is the conversion of angiotensin I to II. ACE is involved in the physiological control of blood pressure and it is a candidate gene for essential hypertension in humans. We tested the relevance of the ACE insertion/deletion (I/D) polymorphism in our population. METHODS: We recruited 243 hypertensive and 407 normotensive subjects in the city of Havana, matched according to age, sex and ethnic group. The ACE (I/D) polymorphism was determined by the polymerase chain reaction (PCR) technique. The fit of genotype frequencies to Hardy-Weinberg proportions was evaluated in all groups analyzed. The possible association between the ACE I/D polymorphism and hypertension status was tested by chi2 and odds ratio tests. RESULTS: All groups but black female cases were in Hardy-Weinberg equilibrium. The frequencies of the D allele in hypertensive/normotensive subjects were 0.61/0.59 in white males, 0.58/0.58 in white females, 0.47/0.59 in black males and 0.58/0.54 in black females. The distribution of ACE genotypes differed significantly between cases and controls only in black women according to the additive model (chi2p=0.04) but the adjusted OR did not show significant association (OR 1.14 95% CI 0.62 to 2.10). CONCLUSION: The ACE I/D polymorphism was not associated with hypertension in our multiethnic sample. While the chi2 test for additive model in black women suggested a marginal significance, the adjusted OR did not show any significant association.

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We study the plethysmographic signal using principal component analysis (PCA). By decomposing the signal using this method, we are able to regenerate it again, preserving in the process the functional relationships between the components. We have also found the relative contributions of each specific component to the signal. First return maps have been made for the series of residues of the decomposition. Further analysis using spectral methods has shown that the residues have a 1/f -like structure, which confirms the presence and conservation of this component in the signal and its relative independence with respect to the oscillating component (Hernández et al 2000 Rev. Cubana Inform. Medica 1 5). Our conclusions are that: (i) PCA is a good method to decompose the plethysmographic signal since it preserves the functional relationships in the variables, and this could be potentially useful in finding new clinically relevant indices; (ii) the 1/f process of the plethysmographic signal is preserved in the residues of the decomposed signal when PCA is used; (iii) clinically relevant parameters can potentially be obtained from photoplethysmographic signals when PCA is used.

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