906 resultados para Multi-instance and multi-sample fusion
Resumo:
Five test runs were performed to assess possible bias when performing the loss on ignition (LOI) method to estimate organic matter and carbonate content of lake sediments. An accurate and stable weight loss was achieved after 2 h of burning pure CaCO3 at 950 °C, whereas LOI of pure graphite at 530 °C showed a direct relation to sample size and exposure time, with only 40-70% of the possible weight loss reached after 2 h of exposure and smaller samples losing weight faster than larger ones. Experiments with a standardised lake sediment revealed a strong initial weight loss at 550 °C, but samples continued to lose weight at a slow rate at exposure of up to 64 h, which was likely the effect of loss of volatile salts, structural water of clay minerals or metal oxides, or of inorganic carbon after the initial burning of organic matter. A further test-run revealed that at 550 °C samples in the centre of the furnace lost more weight than marginal samples. At 950 °C this pattern was still apparent but the differences became negligible. Again, LOI was dependent on sample size. An analytical LOI quality control experiment including ten different laboratories was carried out using each laboratory's own LOI procedure as well as a standardised LOI procedure to analyse three different sediments. The range of LOI values between laboratories measured at 550 °C was generally larger when each laboratory used its own method than when using the standard method. This was similar for 950 °C, although the range of values tended to be smaller. The within-laboratory range of LOI measurements for a given sediment was generally small. Comparisons of the results of the individual and the standardised method suggest that there is a laboratory-specific pattern in the results, probably due to differences in laboratory equipment and/or handling that could not be eliminated by standardising the LOI procedure. Factors such as sample size, exposure time, position of samples in the furnace and the laboratory measuring affected LOI results, with LOI at 550 °C being more susceptible to these factors than LOI at 950 °C. We, therefore, recommend analysts to be consistent in the LOI method used in relation to the ignition temperatures, exposure times, and the sample size and to include information on these three parameters when referring to the method.
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OBJECTIVES Randomized clinical trials that enroll patients in critical or emergency care (acute care) setting are challenging because of narrow time windows for recruitment and the inability of many patients to provide informed consent. To assess the extent that recruitment challenges lead to randomized clinical trial discontinuation, we compared the discontinuation of acute care and nonacute care randomized clinical trials. DESIGN Retrospective cohort of 894 randomized clinical trials approved by six institutional review boards in Switzerland, Germany, and Canada between 2000 and 2003. SETTING Randomized clinical trials involving patients in an acute or nonacute care setting. SUBJECTS AND INTERVENTIONS We recorded trial characteristics, self-reported trial discontinuation, and self-reported reasons for discontinuation from protocols, corresponding publications, institutional review board files, and a survey of investigators. MEASUREMENTS AND MAIN RESULTS Of 894 randomized clinical trials, 64 (7%) were acute care randomized clinical trials (29 critical care and 35 emergency care). Compared with the 830 nonacute care randomized clinical trials, acute care randomized clinical trials were more frequently discontinued (28 of 64, 44% vs 221 of 830, 27%; p = 0.004). Slow recruitment was the most frequent reason for discontinuation, both in acute care (13 of 64, 20%) and in nonacute care randomized clinical trials (7 of 64, 11%). Logistic regression analyses suggested the acute care setting as an independent risk factor for randomized clinical trial discontinuation specifically as a result of slow recruitment (odds ratio, 4.00; 95% CI, 1.72-9.31) after adjusting for other established risk factors, including nonindustry sponsorship and small sample size. CONCLUSIONS Acute care randomized clinical trials are more vulnerable to premature discontinuation than nonacute care randomized clinical trials and have an approximately four-fold higher risk of discontinuation due to slow recruitment. These results highlight the need for strategies to reliably prevent and resolve slow patient recruitment in randomized clinical trials conducted in the critical and emergency care setting.
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African-Americans make up twelve percent of the United States population, yet they experience morbidity and mortality at a rate that, in some cases, is disproportionate to their numbers. There are numerous health areas, including cancer, in which disparities exist. There are also numerous reasons which have been suggested to explain the high rates of cancer morbidity and mortality experienced by African-Americans. Among the reasons given to explain these differences are lack of knowledge and lack of access to medical care (1). This study sought to increase the knowledge, attitudes, and behavioral intentions of African-American women attending a Baptist church in Houston with regard to cervical cancer, breast cancer, Pap smear, and mammography. It was hypothesized that a church-based cancer education program would produce the desired change in knowledge, attitudes, and behavioral intentions.^ The quasi-experimental design of the study was untreated control group with pretest and posttest and untreated control group with posttest only. Female members of Mount Ararat Baptist Church took part in an eight-week, cancer education program based on social cognitive theory. Baseline data were collected before the start of the program at Mount Ararat and at Solid Rock Baptist Church, control group one. At the end of the program, the follow-up survey was administered at the program church, control church one, and in a third church, Damascus Missionary Baptist Church, which served as the posttest only group. The data were analyzed by Fisher's exact and paired t-test to determine if the program supported the project's hypotheses.^ Results of data analyses supported the major study hypotheses, the exception being behavioral intention to have Pap smear performed. Although the program appeared to have generally influenced changes in the desired direction, the results are limited due to the quasi-experimental design and small sample size. Longer term studies with larger sample sizes are needed to more fully develop and evaluate programs which impact the health of African-Americans. ^
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Nonsyndromic cleft lip with or without cleft palate (NSCLP) is a common birth defect with a multifactorial etiology. Despite decades of research, the genetic underpinnings of NSCLP still remain largely unexplained. A genome wide association study (GWAS) of a large NSCLP African American family with seven affected individuals across three generations found evidence for linkage at 8q21.3-24.12 (LOD = 2.98). This region contained three biologically relevant candidate genes: Frizzled-6 (FZD6) (LOD = 2.8), Matrilin-2 (MATN2) (LOD = 2.3), and Solute Carrier Family 25, Member 32 (SLC26A32) (LOD = 1.6). Sequencing of the coding regions and the 5’ and 3’ UTRs of these genes in two affected family members identified a rare intronic variant, rs138557689 (c.-153+432A>C), in FZD6. The rs138557689/C allele segregated with the NSCLP phenotype; in silico analysis predicted and EMSA analysis showed that the 138557689/C allele creates new DNA binding sites. FZD6 is part of the WNT pathway, which is involved in craniofacial development, including midface development and upper lip fusion. Our novel findings suggest that an alteration in FZD6 gene regulation may perturb this tightly controlled biological pathway and in turn contribute to the development of NSCLP in this family. Studies are underway to further define how the rs138557689/C variant affects expression of FZD6.
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Complex diseases, such as cancer, are caused by various genetic and environmental factors, and their interactions. Joint analysis of these factors and their interactions would increase the power to detect risk factors but is statistically. Bayesian generalized linear models using student-t prior distributions on coefficients, is a novel method to simultaneously analyze genetic factors, environmental factors, and interactions. I performed simulation studies using three different disease models and demonstrated that the variable selection performance of Bayesian generalized linear models is comparable to that of Bayesian stochastic search variable selection, an improved method for variable selection when compared to standard methods. I further evaluated the variable selection performance of Bayesian generalized linear models using different numbers of candidate covariates and different sample sizes, and provided a guideline for required sample size to achieve a high power of variable selection using Bayesian generalize linear models, considering different scales of number of candidate covariates. ^ Polymorphisms in folate metabolism genes and nutritional factors have been previously associated with lung cancer risk. In this study, I simultaneously analyzed 115 tag SNPs in folate metabolism genes, 14 nutritional factors, and all possible genetic-nutritional interactions from 1239 lung cancer cases and 1692 controls using Bayesian generalized linear models stratified by never, former, and current smoking status. SNPs in MTRR were significantly associated with lung cancer risk across never, former, and current smokers. In never smokers, three SNPs in TYMS and three gene-nutrient interactions, including an interaction between SHMT1 and vitamin B12, an interaction between MTRR and total fat intake, and an interaction between MTR and alcohol use, were also identified as associated with lung cancer risk. These lung cancer risk factors are worthy of further investigation.^
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Tuberculosis is a major cause of death due to an infection in mankind. BCG vaccine protects against childhood tuberculosis although, it fails to protect against adult tuberculosis. BCG vaccine localizes to immature phagosomes of macrophages, and avoids lysosomal fusion, which decreases peptide antigen production. Peptides are essential for macrophage-mediated priming of CD4 and CD8 T cells respectively through MHC-II and MHC-I pathways. Furthermore, BCG reduces the expression of MHC-II in macrophages of mice after infection, through Toll-like receptor-1/2 (TLR-1/2) mediated signaling. In my first aim, I hypothesized that BCG-induced reduction of MHC-II levels in macrophages can decrease CD4 T cell function, while activation of other surface Toll-like receptors (TLR) can enhance CD4 T cell function. An in vitro antigen presentation model was used where, TLR activated macrophages presented an epitope of Ag85B, a major immunogen of BCG to CD4 T cells, and T cell derived IL-2 was quantitated as a measure of antigen presentation. Macrophages with BCG were poor presenters of Ag85B while, TLR-7/9/5/4 and 1/2 activation led to an enhanced antigen presentation. Furthermore, TLR-7/9 activation was found to down-regulate the degradation of MHC-II through ubiquitin ligase MARCH1, and also stimulate MHC-II expression through activation of AP-1 and CREB transcription elements via p38 and ERK1/2 MAP kinases. I conclude from Aim-I studies that TLR-7/9 ligands can be used as more effective ‘adjuvants’ for BCG vaccine. In Aim-II, I evaluated the poor CD8 T cell function in BCG vaccinated mice thought to be due to a decreased leak of antigens into cytosol from immature phagosomes, which reduces the MHC-I mediated activation of CD8 T cells. I hypothesized that rapamycin co-treatment could boost CD8 T cell function since it was known to sort BCG vaccine into lysosomes increasing peptide generation, and it also enhanced the longevity of CD8 T cells. Since CD8 T cell function is a dynamic event better measurable in vivo, mice were given BCG vaccine with or without rapamycin injections and challenged with virulent Mycobacterium tuberculosis. Organs were analysed for tetramer or surface marker stained CD8 T cells using flow cytometry, and bacterial counts of organisms for evaluation of BCG-induced protection. Co-administration of rapamycin with BCG significantly increased the numbers of CD8 T cells in mice which developed into both short living effector- SLEC type of CD8 T cells, and memory precursor effector-MPEC type of longer-living CD8 T cells. Increased levels of tetramer specific-CD8 T cells correlated with a better protection against tuberculosis in rapamycin-BCG group compared to BCG vaccinated mice. When rapamycin-BCG mice were rested and re-challenged with M.tuberculosis, MPECs underwent stronger recall expansion and protected better against re-infection than mice vaccinated with BCG alone. Since BCG induced immunity wanes with time in humans, we made two novel observations in this study that adjuvant activation of BCG vaccine and rapamycin co-treatment both lead to a stronger and longer vaccine-mediated immunity to tuberculosis.
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Background: For most cytotoxic and biologic anti-cancer agents, the response rate of the drug is commonly assumed to be non-decreasing with an increasing dose. However, an increasing dose does not always result in an appreciable increase in the response rate. This may especially be true at high doses for a biologic agent. Therefore, in a phase II trial the investigators may be interested in testing the anti-tumor activity of a drug at more than one (often two) doses, instead of only at the maximum tolerated dose (MTD). This way, when the lower dose appears equally effective, this dose can be recommended for further confirmatory testing in a phase III trial under potential long-term toxicity and cost considerations. A common approach to designing such a phase II trial has been to use an independent (e.g., Simon's two-stage) design at each dose ignoring the prior knowledge about the ordering of the response probabilities at the different doses. However, failure to account for this ordering constraint in estimating the response probabilities may result in an inefficient design. In this dissertation, we developed extensions of Simon's optimal and minimax two-stage designs, including both frequentist and Bayesian methods, for two doses that assume ordered response rates between doses. ^ Methods: Optimal and minimax two-stage designs are proposed for phase II clinical trials in settings where the true response rates at two dose levels are ordered. We borrow strength between doses using isotonic regression and control the joint and/or marginal error probabilities. Bayesian two-stage designs are also proposed under a stochastic ordering constraint. ^ Results: Compared to Simon's designs, when controlling the power and type I error at the same levels, the proposed frequentist and Bayesian designs reduce the maximum and expected sample sizes. Most of the proposed designs also increase the probability of early termination when the true response rates are poor. ^ Conclusion: Proposed frequentist and Bayesian designs are superior to Simon's designs in terms of operating characteristics (expected sample size and probability of early termination, when the response rates are poor) Thus, the proposed designs lead to more cost-efficient and ethical trials, and may consequently improve and expedite the drug discovery process. The proposed designs may be extended to designs of multiple group trials and drug combination trials.^
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Recycling of oceanic crust into the deep mantle via subduction is a widely accepted mechanism for creating compositional heterogeneity in the upper mantle and for explaining the distinct geochemistry of mantle plumes. The oxygen isotope ratios (d18O) of some ocean island basalts (OIB) span values both above and below that of unmetasomatised upper mantle (5.5 ± 0.4 per mil) and provide support for this hypothesis, as it is widely assumed that most variations in d18O are produced by near-surface low-temperature processes. Here we show a significant linear relationship between d18O and stable iron isotope ratios (d57Fe) in a suite of pristine eclogite xenoliths. The d18O values of both bulk samples and garnets range from values within error of normal mantle to significantly lighter values. The observed range and correlation between d18O and d57Fe is unlikely to be inherited from oceanic crust, as d57Fe values determined for samples of hydrothermally altered oceanic crust do not differ significantly from the mantle value and show no correlation with d18O. It is proposed that the correlated d57Fe and d18O variations in this particular eclogite suite are predominantly related to isotopic fractionation by disequilibrium partial melting although modification by melt percolation processes cannot be ruled out. Fractionation of Fe and O isotopes by removal of partial melt enriched in isotopically heavy Fe and O is supported by negative correlations between bulk sample d57Fe and Cr content and bulk sample and garnet d18O and Sc contents, as Cr and Sc are elements that become enriched in garnet- and pyroxene-bearing melt residues. Melt extraction could take place either during subduction, where the eclogites represent the residues of melted oceanic lithosphere, or could take place during long-term residence within the lithospheric mantle, in which case the protoliths of the eclogites could be of either crustal or mantle origin. This modification of both d57Fe and d18O by melting processes and specifically the production of low-d18O signatures in mafic rocks implies that some of the isotopically light d18O values observed in OIB and eclogite xenoliths may not necessarily reflect near-surface processes or components.