131 resultados para Framingham


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Creatine Kinase (CK) is used as a measure of exercise-induced muscle membrane damage. During acute eccentric (muscle lengthening) exercise, muscle sarcolemma, sarcoplasmic reticulum, and Z-lines are damaged, thus causing muscle proteins and enzymes to leak into the interstitial fluid. Strenuous eccentric exercise produces an elevation of oxygen free radicals, which further increases muscle damage. Muscle soreness and fatigue can be attributed to this membrane damage. Estradiol, however, may preserve membrane stability post-exercise (Brancaccio, Maffulli, & Limongelli, 2007; Carter, Dobridge, & Hackney, 2001; Tiidus, 2001). Because estradiol has a similar structure to Vitamin E, which is known to have antioxidant properties, and both are known to affect membrane structure, researchers have proposed that estrogen acts as an antioxidant to provide a protective effect on the post-exercise muscle of women (Sandoval & Matt, 2002). As a result, it has been postulated that muscles in women incur less damage in response to an acute strenuous exercise as compared to men. PURPOSE: To determine if circulating estrogen concentrations are related to muscle damage, as measured by creatine kinase activity and to determine gender differences in creatine kinase as a marker of muscle damage in response to an acute heavy resistance exercise protocol. METHODS: 7 healthy, resistance-trained, eumenhorrheic women (23±3 y, 169±9.1 cm, 66.4±10.5 kg) and 8 healthy, resistance-trained men (25±5 y, 178±6.7 cm, 82.3±9.33 kg) volunteered to participate in the study. Subjects performed an Acute Resistance Exercise Test (ARET) consisting of 6 sets of 5 repetitions Smith machine squats at 90% of their previously determined 1-RM. Blood samples were taken pre-, mid-, post-, 1 hour post-, 6 hours post-, and 24 hours post-exercise. Samples were stored at -80ºC until analyzed. Serum creatine kinase was measured using an assay kit from Genzyme (Framingham, MA). Serum estradiol was measured by an ELISA from GenWay (San Diego, CA). Estradiol b-receptor presence on granulocytes was measured via flow cytometry using primary antibodies from Abcam (Cambridge, MA) and PeCy7 antibodies (secondary) from Santa Cruz (Santa Cruz, CA). RESULTS: No significant correlations between estrogen and CK response were found after an acute resistant exercise protocol. Moreover, no significant change in estradiol receptors were expressed on granulocytes after exercise. Creatine Kinase response, however, differed significantly between genders. Men had higher resting CK concentrations throughout all time points. Creatine Kinase response increased significantly after exercise in both men and women (p=0.008, F=9.798). Men had a significantly higher CK response at 24 hours post exercise than women. A significant condition/sex/time interaction was exhibited in CK response (p=0.02, F=4.547). Perceived general soreness presented a significant condition, sex interaction (p=0.01, F=9.532). DISCUSSION: Although no estradiol and CK response correlations were found in response to exercise, a significant difference in creatine kinase activity was present between men and women. This discrepancy of our results and findings in the literature may be due to the high variability between subjects in creatine kinase activity as well as estrogen concentrations. The lack of significance in change of estradiol receptor expression on granulocytes in response to exercise may be due to intracellular estradiol receptor staining and non-specific gating for granulocytes rather than additional staining for neutrophil markers. Because neutrophils are the initial cells present in the inflammatory response after strenuous exercise, staining for estrogen receptors on this cell type may allow for a better understanding of the effect of estrogen and its hypothesized protective effect against muscle damage. Furthermore, the mechanism of action may include estradiol receptor expression on the muscle fiber itself may play a role in the protective effects of estradiol rather than or in addition to expression on neutrophils. We have shown here that gender differences occur in CK activity as a marker of muscle damage in response to strenuous eccentric exercise, but may not be the result of estradiol concentration or estradiol receptor expression on granulocytes. Other variables should be examined in order to determine the mechanism involved in the difference in creatine kinase as a marker of muscle damage between men and women after heavy resistance exercise.

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In population studies, most current methods focus on identifying one outcome-related SNP at a time by testing for differences of genotype frequencies between disease and healthy groups or among different population groups. However, testing a great number of SNPs simultaneously has a problem of multiple testing and will give false-positive results. Although, this problem can be effectively dealt with through several approaches such as Bonferroni correction, permutation testing and false discovery rates, patterns of the joint effects by several genes, each with weak effect, might not be able to be determined. With the availability of high-throughput genotyping technology, searching for multiple scattered SNPs over the whole genome and modeling their joint effect on the target variable has become possible. Exhaustive search of all SNP subsets is computationally infeasible for millions of SNPs in a genome-wide study. Several effective feature selection methods combined with classification functions have been proposed to search for an optimal SNP subset among big data sets where the number of feature SNPs far exceeds the number of observations. ^ In this study, we take two steps to achieve the goal. First we selected 1000 SNPs through an effective filter method and then we performed a feature selection wrapped around a classifier to identify an optimal SNP subset for predicting disease. And also we developed a novel classification method-sequential information bottleneck method wrapped inside different search algorithms to identify an optimal subset of SNPs for classifying the outcome variable. This new method was compared with the classical linear discriminant analysis in terms of classification performance. Finally, we performed chi-square test to look at the relationship between each SNP and disease from another point of view. ^ In general, our results show that filtering features using harmononic mean of sensitivity and specificity(HMSS) through linear discriminant analysis (LDA) is better than using LDA training accuracy or mutual information in our study. Our results also demonstrate that exhaustive search of a small subset with one SNP, two SNPs or 3 SNP subset based on best 100 composite 2-SNPs can find an optimal subset and further inclusion of more SNPs through heuristic algorithm doesn't always increase the performance of SNP subsets. Although sequential forward floating selection can be applied to prevent from the nesting effect of forward selection, it does not always out-perform the latter due to overfitting from observing more complex subset states. ^ Our results also indicate that HMSS as a criterion to evaluate the classification ability of a function can be used in imbalanced data without modifying the original dataset as against classification accuracy. Our four studies suggest that Sequential Information Bottleneck(sIB), a new unsupervised technique, can be adopted to predict the outcome and its ability to detect the target status is superior to the traditional LDA in the study. ^ From our results we can see that the best test probability-HMSS for predicting CVD, stroke,CAD and psoriasis through sIB is 0.59406, 0.641815, 0.645315 and 0.678658, respectively. In terms of group prediction accuracy, the highest test accuracy of sIB for diagnosing a normal status among controls can reach 0.708999, 0.863216, 0.639918 and 0.850275 respectively in the four studies if the test accuracy among cases is required to be not less than 0.4. On the other hand, the highest test accuracy of sIB for diagnosing a disease among cases can reach 0.748644, 0.789916, 0.705701 and 0.749436 respectively in the four studies if the test accuracy among controls is required to be at least 0.4. ^ A further genome-wide association study through Chi square test shows that there are no significant SNPs detected at the cut-off level 9.09451E-08 in the Framingham heart study of CVD. Study results in WTCCC can only detect two significant SNPs that are associated with CAD. In the genome-wide study of psoriasis most of top 20 SNP markers with impressive classification accuracy are also significantly associated with the disease through chi-square test at the cut-off value 1.11E-07. ^ Although our classification methods can achieve high accuracy in the study, complete descriptions of those classification results(95% confidence interval or statistical test of differences) require more cost-effective methods or efficient computing system, both of which can't be accomplished currently in our genome-wide study. We should also note that the purpose of this study is to identify subsets of SNPs with high prediction ability and those SNPs with good discriminant power are not necessary to be causal markers for the disease.^

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In order to better take advantage of the abundant results from large-scale genomic association studies, investigators are turning to a genetic risk score (GRS) method in order to combine the information from common modest-effect risk alleles into an efficient risk assessment statistic. The statistical properties of these GRSs are poorly understood. As a first step toward a better understanding of GRSs, a systematic analysis of recent investigations using a GRS was undertaken. GRS studies were searched in the areas of coronary heart disease (CHD), cancer, and other common diseases using bibliographic databases and by hand-searching reference lists and journals. Twenty-one independent case-control studies, cohort studies, and simulation studies (12 in CHD, 9 in other diseases) were identified. The underlying statistical assumptions of the GRS using the experience of the Framingham risk score were investigated. Improvements in the construction of a GRS guided by the concept of composite indicators are discussed. The GRS will be a promising risk assessment tool to improve prediction and diagnosis of common diseases.^

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Next-generation DNA sequencing platforms can effectively detect the entire spectrum of genomic variation and is emerging to be a major tool for systematic exploration of the universe of variants and interactions in the entire genome. However, the data produced by next-generation sequencing technologies will suffer from three basic problems: sequence errors, assembly errors, and missing data. Current statistical methods for genetic analysis are well suited for detecting the association of common variants, but are less suitable to rare variants. This raises great challenge for sequence-based genetic studies of complex diseases.^ This research dissertation utilized genome continuum model as a general principle, and stochastic calculus and functional data analysis as tools for developing novel and powerful statistical methods for next generation of association studies of both qualitative and quantitative traits in the context of sequencing data, which finally lead to shifting the paradigm of association analysis from the current locus-by-locus analysis to collectively analyzing genome regions.^ In this project, the functional principal component (FPC) methods coupled with high-dimensional data reduction techniques will be used to develop novel and powerful methods for testing the associations of the entire spectrum of genetic variation within a segment of genome or a gene regardless of whether the variants are common or rare.^ The classical quantitative genetics suffer from high type I error rates and low power for rare variants. To overcome these limitations for resequencing data, this project used functional linear models with scalar response to develop statistics for identifying quantitative trait loci (QTLs) for both common and rare variants. To illustrate their applications, the functional linear models were applied to five quantitative traits in Framingham heart studies. ^ This project proposed a novel concept of gene-gene co-association in which a gene or a genomic region is taken as a unit of association analysis and used stochastic calculus to develop a unified framework for testing the association of multiple genes or genomic regions for both common and rare alleles. The proposed methods were applied to gene-gene co-association analysis of psoriasis in two independent GWAS datasets which led to discovery of networks significantly associated with psoriasis.^

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Chronic β-blocker treatment improves survival and left ventricular ejection fraction (LVEF) in patients with systolic heart failure (HF). Data on whether the improvement in LVEF after β-blocker therapy is sustained for a long term or whether there is a loss in LVEF after an initial gain is not known. Our study sought to determine the prevalence and prognostic role of secondary decline in LVEF in chronic systolic HF patients on β-blocker therapy and characterize these patients. Retrospective chart review of HF hospitalizations fulfilling Framingham Criteria was performed at the MEDVAMC between April 2000 and June 2006. Follow up vital status and recurrent hospitalizations were ascertained until May 2010. Three groups of patients were identified based on LVEF response to beta blockers; group A with secondary decline in LVEF following an initial increase, group B with progressive increase in LVEF and group C with progressive decline in LVEF. Covariate adjusted Cox proportional hazard models were used to examine differences in heart failure re-hospitalizations and all cause mortality between the groups. Twenty five percent (n=27) of patients had a secondary decline in LVEF following an initial gain. The baseline, peak and final LVEF in this group were 27.6±12%, 40.1±14% and 27.4±13% respectively. The mean nadir LVEF after decline was 27.4±13% and this decline occurred at a mean interval of 2.8±1.9 years from the day of beta blocker initiation. These patients were older, more likely to be whites, had advanced heart failure (NYHA class III/IV) more due to a non ischemic etiology compared to groups B & C. They were also more likely to be treated with metoprolol (p=0.03) compared to the other two groups. No significant differences were observed in combined risk of all cause mortality and HF re-hospitalization [hazard ratio 0.80, 95% CI 0.47 to 1.38, p=0.42]. No significant difference was observed in survival estimates between the groups. In conclusion, a late decline in LVEF does occur in a significant proportion of heart failure patients treated with beta blockers, more so in patients treated with metoprolol.^

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Trata-se de um estudo analítico de corte transversal, que visa avaliar o risco cardiovascular de PVHA segundo o Escore de Framingham e identificar a associação entre o risco e as variáveis demográficas, comportamentais, psicossociais e clínicas de PVHA. O estudo foi aprovado na Secretaria Municipal de Saúde e no Comitê de Ética da Escola de Enfermagem de Ribeirão Preto, a coleta de dados foi realizada no período de outubro de 2014 a agosto de 2015 em cinco Serviços de Atendimento Especializado às PVHA utilizando questionário sociodemográfico, clínico e comportamental, avaliação da alimentação saudável, Inventário de Sintomas de Stress para Adultos de Lipp e avaliação do risco cardiovascular por meio do Escore de Framingham. A análise dos dados ocorreu através de estatística descritiva e teste de associação entre as variáveis, onde foi adotado nível de significância com valor de p<0,05. Identificou-se que 58,3% pertenciam ao sexo masculino, 69,1% apresentavam idade acima de 40 anos, com média de 44,4 anos, 40,6% referiram ser brancos e 40,0% pardos, e 70,9% eram heterossexuais. Observou-se que 64,0% eram sedentários, 35,4% tabagistas e 40,0% faziam uso de bebida alcóolica regularmente. Do mesmo modo, 73,7% consideraram sua alimentação saudável, no entanto, ao ser avaliado de acordo com o escore da alimentação saudável, 70,9% obtiveram score intermediário para alimentação. Com relação às variáveis psicossociais, foi identificado que 52,0% tinham menos de oito anos de estudo, e 80,6% referiram receber até três salários mínimos por mês. Quanto aos sintomas de estresse, foi visto que 29,1% e 22,3% estavam nas fases de resistência e exaustão, respectivamente. Além disso, identificou-se que 15,4% da amostra tinha diagnóstico médico para depressão e que 71,4% não realizavam atividades de lazer regularmente. Com relação às variáveis clínicas gerais, 57,7% referiram antecedentes familiares para HAS, 40,6% para DM, 21,7% para IAM e 27,4% para AVE. Quanto aos antecedentes pessoais, foi visto que 15,4% eram hipertensos, 8,0% eram diabéticos e 8,0% tinham dislipidemia. Desta mesma amostra, 45,2% apresentavam IMC maior que 25,0 kg/m² e 41,7% estavam em síndrome metabólica. Com relação às variáveis clínicas relacionadas ao HIV, observou-se que 42,2% e 32,0% possuíam o diagnóstico de soropositividade e fazem uso de TARV há mais de dez anos, respectivamente. A contagem de células TCD4+ e carga viral mostrou que 82,8% dos participantes apresentaram contagem maior que 350 cels/mm³, e 80,6% tinham carga viral indetectável. Foi identificado que 25,8% dos sujeitos apresentam risco cardiovascular de médio a alto, segundo o Escore de Framingham. Apenas as variáveis sociodemográficas sexo (p=0,006), idade (p<0,001) e estado civil (p=0,003) apresentaram associação com o risco cardiovascular calculado pelo Escore de Framingham. Nas variáveis comportamentais, as fases de estresse (p=0,039) tiveram associação com o risco cardiovascular, e com relação às variáveis clínicas, antecedentes familiares para DM (p=0,035), HAS, DM e SM (p<0,001) e DLP (p=0,030) apresentaram significância estatística. Nas variáveis clínicas relacionadas ao HIV, o tempo de diagnóstico (p=0,005) e o tempo de TARV (p=0,038) também apresentaram associação. Conclui-se que 25,8% de PVHA no município de Ribeirão Preto apresentam risco cardiovascular de moderado a alto, medido pelo Escore de Framingham

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La infección por VIH asocia un riesgo cardiovascular elevado por elevada prevalencia de factores de riesgo cardiovascular en esta población, por la propia infección por VIH y por las alteraciones metabólicas asociadas a la propia infección por VIH y al tratamiento antirretroviral (TAR). La arteriosclerosis carotídea subclínica es un reconocido marcador de riesgo cardiovascular. Material y métodos: Se realizó un estudio transversal incluyendo varones no diabéticos con infección por VIH a partir de 18 años, clasificados de acuerdo al grupo de tratamiento: grupo Naïve y grupo en TAR. Los pacientes del grupo TAR se dividían en grupo IP, tratado con inhibidores de la proteasa (IP) y grupo NN, grupo tratado con inhibidores de la transcriptasa inversa no análogos de nucleósidos que nunca estuvo expuesto a IP. Los dos grupos en TAR estaban en tratamiento con inhibidores de la transcriptasa inversa análogos de nucleósidos. Se evaluó por ecografía la presencia de arteriosclerosis carotídea subclínica, como aumento del grosor de íntima media (GIM) y presencia de placa carotídea, y se observó la relación con los factores de riesgo cardiovascular y metabólicos y su relación con el TAR. Resultados: Se incluyeron 93 varones con edad media 42,2 ± 8,2 años, mediana de tiempo de infección por VIH 6,6[2,9-12,4] años, mediana del tiempo total de exposición a TAR 59 [33-104,5] meses. El grupo naïve lo constituían 16 pacientes y el grupo en TAR 77 pacientes: 37 en el grupo NN y 40 en el grupo IP. Las variables asociadas de forma significativa a GIM máximo y medio en ACC fueron la edad, los años/paquete, la obesidad, la hiperglucemia basal en ayunas, HbA1c, los índices de insulinresistencia, la escala de Framingham, los años de evolución de la infección por VIH. El GIM medio se asoció de forma proporcional a presencia de síndrome metabólico, niveles de proteína C reactiva ultrasensible e insuficiencia de vitamina D e inversamente proporcional a la carga viral...

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This brief handwritten document certifies that the guardianship of Richard Nichols of Reading, Massachusetts, was granted to yeoman Thomas Hartshorn of Reading according to the records of the Probate Court in Framingham, Massachusetts. The document is attested by James Winthrop in his capacity as register of probate for Middlesex County.

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This layer is a georeferenced raster image of the historic paper map entitled: Map of Middlesex County, Massachusetts, the details from original surveys under the direction of Henry F. Walling, supt. of the state map ; Thos. W. Baker, draughtsman. It was published by Smith & Bumstead in 1856. Scale 1:50,000. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Massachusetts State Plane Coordinate System, Mainland Zone (in Feet) (Fipszone 2001). All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, or other information associated with the principal map. This map shows features such as roads, railroads, drainage, public buildings, schools, churches, cemeteries, industry locations (e.g. mills, factories, mines, etc.), private buildings with names of property owners, town and county boundaries and more. Covers also parts of Boston. Relief is shown by hachures. It includes many cadastral insets of individual county towns and villages, and an inset geological map of county. It also includes illustrations, business directories, and tables of statistics and distances. This layer is part of a selection of digitally scanned and georeferenced historic maps of Massachusetts from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of regions, originators, ground condition dates (1755-1922), scales, and purposes. The digitized selection includes maps of: the state, Massachusetts counties, town surveys, coastal features, real property, parks, cemeteries, railroads, roads, public works projects, etc.

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This raster layer represents surface elevation for the Boston Region, Massachusetts. This datalayer is a subset (covering only the Boston region) of the Massachusetts statewide digital elevation model. It was created from the digital terrain models that were produced as part of the 1:5,000 Black and White Digital Orthophoto imagery project. Cellsize is 5 meters by 5 meters. Each cell has an integer value, in meters, which represents its elevation above or below sea level.

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This layer is a georeferenced raster image of the historic paper map entitled: An accurate map of the country round Boston in New England. It was originally published by Archibald Hamilton in Town and country magazine (London), Jan. 16, 1776. Scale [ca. 1:362,500]. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Massachusetts State Plane Coordinate System, Mainland Zone (in Feet) (Fipszone 2001). All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, or other information associated with the principal map. This map shows features such as roads, drainage, selected public buildings, town boundaries and more. Relief is shown by hachures. Includes ancillary map: A plan of Boston and Charlestown, from a drawing made in 1771, with index to points of interest. This layer is part of a selection of digitally scanned and georeferenced historic maps of Massachusetts from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of regions, originators, ground condition dates (1755-1922), scales, and purposes. The digitized selection includes maps of: the state, Massachusetts counties, town surveys, coastal features, real property, parks, cemeteries, railroads, roads, public works projects, etc.

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This layer is a georeferenced raster image of the historic paper map entitled: Map of the Boston water works, prepared under the direction of the Cochituate Water Board ; E.S. Chesbrough, city engineer ; drawn by Charles Perkins. It was published in 1852. Scale [1:38,400]. It covers the area Lake Cochituate (Natick, Framingham, Wayland) to Boston Harbor, and Everett to Dorchester, Massachusetts. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Massachusetts State Plane Coordinate System, Mainland Zone (in Feet) (Fipszone 2001). All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, or other information associated with the principal map. This map shows water supply lines and features such as culverts, gatehouses, drains, waste weirs, tunnels, aqueducts, and reservoirs. Shows also features including roads, railroads, drainage, town boundaries, and more. Includes 2 profiles: Profile [of main branch] -- Profile of South Boston branch. Vertical scale [1:1,200]. This layer is part of a selection of digitally scanned and georeferenced historic maps of Massachusetts from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of regions, originators, ground condition dates (1755-1922), scales, and purposes. The digitized selection includes maps of: the state, Massachusetts counties, town surveys, coastal features, real property, parks, cemeteries, railroads, roads, public works projects, etc.

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National Highway Traffic Safety Administration, Washington, D.C.

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Mode of access: Internet.

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Mode of access: Internet.