Human Capital Questionnaire (PHCQ): Assessment of European nurses' perception as indicators of human capital quality

Healthcare accreditation models generally include indicators related to healthcare employees' perceptions (e.g. satisfaction, career development, and health safety). During the accreditation process, organizations are asked to demonstrate the methods with which assessments are made. However, none of the models provide standardized systems for the assessment of employees. In this study, we analyzed the psychometric properties of an instrument for the assessment of nurses' perceptions as indicators of human capital quality in healthcare organizations. The Human Capital Questionnaire was applied to a sample of 902 nurses in four European countries (Spain, Portugal, Poland, and the UK). Exploratory factor analysis identified six factors: satisfaction with leadership, identification and commitment, satisfaction with participation, staff well-being, career development opportunities, and motivation. The results showed the validity and reliability of the questionnaire, which when applied to healthcare organizations, provide a better understanding of nurses' perceptions, and is a parsimonious instrument for assessment and organizational accreditation. From a practical point of view, improving the quality of human capital, by analyzing nurses and other healthcare employees' perceptions, is related to workforce empowerment.

Incidence and risk factors for chronic elevation of alanine aminotransferase levels in HIV-infected persons without hepatitis b or c virus co-infection.

BACKGROUND: Chronic liver disease in human immunodeficiency virus (HIV)-infected patients is mostly caused by hepatitis virus co-infection. Other reasons for chronic alanine aminotransferase (ALT) elevation are more difficult to diagnose. METHODS: We studied the incidence of and risk factors for chronic elevation of ALT levels (greater than the upper limit of normal at 2 consecutive semi-annual visits) in participants of the Swiss HIV Cohort Study without hepatitis B virus (HBV) or hepatitis C virus (HCV) infection who were seen during the period 2002-2008. Poisson regression analysis was used. RESULTS: A total of 2365 participants were followed up for 9972 person-years (median age, 38 years; male sex, 66%; median CD4+ cell count, 426/microL; receipt of antiretroviral therapy [ART], 56%). A total of 385 participants (16%) developed chronic elevated ALT levels, with an incidence of 3.9 cases per 100 person-years (95% confidence interval [CI], 3.5-4.3 cases per 100 person-years). In multivariable analysis, chronic elevated ALT levels were associated with HIV RNA level >100,000 copies/mL (incidence rate ratio [IRR], 2.23; 95% CI, 1.45-3.43), increased body mass index (BMI, defined as weight in kilograms divided by the square of height in meters) (BMI of 25-29.9 was associated with an IRR of 1.56 [95% CI, 1.24-1.96]; a BMI 30 was associated with an IRR of 1.70 [95% CI, 1.16-2.51]), severe alcohol use (1.83 [1.19-2.80]), exposure to stavudine (IRR per year exposure, 1.12 [95% CI, 1.07-1.17]) and zidovudine (IRR per years of exposure, 1.04 [95% CI, 1.00-1.08]). Associations with cumulative exposure to combination ART, nucleoside reverse-transcriptase inhibitors, and unboosted protease inhibitors did not remain statistically significant after adjustment for exposure to stavudine. Black ethnicity was inversely correlated (IRR, 0.52 [95% CI, 0.33-0.82]). Treatment outcome and mortality did not differ between groups with and groups without elevated ALT levels. CONCLUSIONS: Among patients without hepatitis virus co-infection, the incidence of chronic elevated ALT levels was 3.9 cases per 100 person-years, which was associated with high HIV RNA levels, increased BMI, severe alcohol use, and prolonged stavudine and zidovudine exposure. Long-term follow-up is needed to assess whether chronic elevation of ALT levels will result in increased morbidity or mortality.

Proliferative and Osteogenic Differentiation Potentials of Human Fetal Bone Cells

BACKGROUND. Human primary fetal bone cells (hFBC) are being characterized for use in bone tissue regeneration. Unlike human mesenchymal stem cells (hMSC), hFBC are partially differentiated with high expansion and regeneration potential. To date, proliferative and osteoblastic differentiation capacities of fetal bone cells remain poorly examined. The goal of this study was to define an environmental culture conditions for optimal proliferation and production of extracellular bone matrix leading to efficient bone repair. METHODS. Human primary FBC derived from our dedicated, consistent banks of bone cells comprising several fetal donors. For proliferation study, monolayer cultures of both cell types were expanded in DMEM or α- MEM media. Osteoblastic differentiation potentials of both hFBC and hMSC were evaluated through RT-PCR. Regulation of osteogenic differentiation by protein ligands Wnt3a and Wnt5a was studied by ALP enzymatic activity measurement. RESULTS. Evaluation of the proliferation rate demonstrated that hFBC proliferated more rapidly in α-MEM medium. Regarding growth factors that could stimulate cell proliferation rate, we observed that PDGF, FGF2 and Wnt3a had positive effects on proliferation of hFBC. Gene expression analysis demonstrated a higher expression of runx2 in hFBC cultured in basal conditions, which was was similar than that was observed in hMSC in osteoinductive culture conditions. Expression of sox9 was very low in hBFC and hMSC, compared to expression observed in fetal cartilage cells. Looking at osteogenic differentiation capacity, ALP activity was positively regulated byWnt5awhen hFBCwere cultured inα-MEM, but not in DMEM. Conversely, Wnt3a was shown to block the effect of osteogenic inductors on differentiation of both cell types. CONCLUSION. Data presented in this study indicate that the proliferation and differentiation of fetal and mesenchymal stem cells is optimal in α- MEM. Evidence for a pre-differentiated state of hBFC was given by extracellular matrix spontaneous mineralization as well as by higher ALP activity levels observed for these cells in baseline culture conditions, in comparison with hMSC. As we showed that, in vitro, hFBC express a higher capacity to differentiate in osteoblasts, they represent an attractive and promising prospect for fundamental research, and specifically for a new generation of skeletal tissue engineering.

Computational analysis of the genetic and environmental contributions to disease-related human phenotypes: From predicting adverse lipid response of HIV patients receiving antiretroviral therapy to genome-wide association studies of cardiovascular and lipid related disorders

Genetic variants influence the risk to develop certain diseases or give rise to differences in drug response. Recent progresses in cost-effective, high-throughput genome-wide techniques, such as microarrays measuring Single Nucleotide Polymorphisms (SNPs), have facilitated genotyping of large clinical and population cohorts. Combining the massive genotypic data with measurements of phenotypic traits allows for the determination of genetic differences that explain, at least in part, the phenotypic variations within a population. So far, models combining the most significant variants can only explain a small fraction of the variance, indicating the limitations of current models. In particular, researchers have only begun to address the possibility of interactions between genotypes and the environment. Elucidating the contributions of such interactions is a difficult task because of the large number of genetic as well as possible environmental factors.In this thesis, I worked on several projects within this context. My first and main project was the identification of possible SNP-environment interactions, where the phenotypes were serum lipid levels of patients from the Swiss HIV Cohort Study (SHCS) treated with antiretroviral therapy. Here the genotypes consisted of a limited set of SNPs in candidate genes relevant for lipid transport and metabolism. The environmental variables were the specific combinations of drugs given to each patient over the treatment period. My work explored bioinformatic and statistical approaches to relate patients' lipid responses to these SNPs, drugs and, importantly, their interactions. The goal of this project was to improve our understanding and to explore the possibility of predicting dyslipidemia, a well-known adverse drug reaction of antiretroviral therapy. Specifically, I quantified how much of the variance in lipid profiles could be explained by the host genetic variants, the administered drugs and SNP-drug interactions and assessed the predictive power of these features on lipid responses. Using cross-validation stratified by patients, we could not validate our hypothesis that models that select a subset of SNP-drug interactions in a principled way have better predictive power than the control models using "random" subsets. Nevertheless, all models tested containing SNP and/or drug terms, exhibited significant predictive power (as compared to a random predictor) and explained a sizable proportion of variance, in the patient stratified cross-validation context. Importantly, the model containing stepwise selected SNP terms showed higher capacity to predict triglyceride levels than a model containing randomly selected SNPs. Dyslipidemia is a complex trait for which many factors remain to be discovered, thus missing from the data, and possibly explaining the limitations of our analysis. In particular, the interactions of drugs with SNPs selected from the set of candidate genes likely have small effect sizes which we were unable to detect in a sample of the present size (<800 patients).In the second part of my thesis, I performed genome-wide association studies within the Cohorte Lausannoise (CoLaus). I have been involved in several international projects to identify SNPs that are associated with various traits, such as serum calcium, body mass index, two-hour glucose levels, as well as metabolic syndrome and its components. These phenotypes are all related to major human health issues, such as cardiovascular disease. I applied statistical methods to detect new variants associated with these phenotypes, contributing to the identification of new genetic loci that may lead to new insights into the genetic basis of these traits. This kind of research will lead to a better understanding of the mechanisms underlying these pathologies, a better evaluation of disease risk, the identification of new therapeutic leads and may ultimately lead to the realization of "personalized" medicine.

Oops! Another medication error : a literature review of contributing factors and methods to prevent medication errors

The purpose of this bachelor's thesis was to chart scientific research articles to present contributing factors to medication errors done by nurses in a hospital setting, and introduce methods to prevent medication errors. Additionally, international and Finnish research was combined and findings were reflected in relation to the Finnish health care system. Literature review was conducted out of 23 scientific articles. Data was searched systematically from CINAHL, MEDIC and MEDLINE databases, and also manually. Literature was analysed and the findings combined using inductive content analysis. Findings revealed that both organisational and individual factors contributed to medication errors. High workload, communication breakdowns, unsuitable working environment, distractions and interruptions, and similar medication products were identified as organisational factors. Individual factors included nurses' inability to follow protocol, inadequate knowledge of medications and personal qualities of the nurse. Developing and improving the physical environment, error reporting, and medication management protocols were emphasised as methods to prevent medication errors. Investing to the staff's competence and well-being was also identified as a prevention method. The number of Finnish articles was small, and therefore the applicability of the findings to Finland is difficult to assess. However, the findings seem to fit to the Finnish health care system relatively well. Further research is needed to identify those factors that contribute to medication errors in Finland. This is a necessity for the development of methods to prevent medication errors that fit in to the Finnish health care system.

Contribution of genetic background, traditional risk factors, and HIV-related factors to coronary artery disease events in HIV-positive persons.

BACKGROUND: Persons infected with human immunodeficiency virus (HIV) have increased rates of coronary artery disease (CAD). The relative contribution of genetic background, HIV-related factors, antiretroviral medications, and traditional risk factors to CAD has not been fully evaluated in the setting of HIV infection. METHODS: In the general population, 23 common single-nucleotide polymorphisms (SNPs) were shown to be associated with CAD through genome-wide association analysis. Using the Metabochip, we genotyped 1875 HIV-positive, white individuals enrolled in 24 HIV observational studies, including 571 participants with a first CAD event during the 9-year study period and 1304 controls matched on sex and cohort. RESULTS: A genetic risk score built from 23 CAD-associated SNPs contributed significantly to CAD (P = 2.9 × 10(-4)). In the final multivariable model, participants with an unfavorable genetic background (top genetic score quartile) had a CAD odds ratio (OR) of 1.47 (95% confidence interval [CI], 1.05-2.04). This effect was similar to hypertension (OR = 1.36; 95% CI, 1.06-1.73), hypercholesterolemia (OR = 1.51; 95% CI, 1.16-1.96), diabetes (OR = 1.66; 95% CI, 1.10-2.49), ≥ 1 year lopinavir exposure (OR = 1.36; 95% CI, 1.06-1.73), and current abacavir treatment (OR = 1.56; 95% CI, 1.17-2.07). The effect of the genetic risk score was additive to the effect of nongenetic CAD risk factors, and did not change after adjustment for family history of CAD. CONCLUSIONS: In the setting of HIV infection, the effect of an unfavorable genetic background was similar to traditional CAD risk factors and certain adverse antiretroviral exposures. Genetic testing may provide prognostic information complementary to family history of CAD.

Treatment modification in human immunodeficiency virus-infected individuals starting combination antiretroviral therapy between 2005 and 2008.

BACKGROUND: Adverse effects of combination antiretroviral therapy (CART) commonly result in treatment modification and poor adherence. METHODS: We investigated predictors of toxicity-related treatment modification during the first year of CART in 1318 antiretroviral-naive human immunodeficiency virus (HIV)-infected individuals from the Swiss HIV Cohort Study who began treatment between January 1, 2005, and June 30, 2008. RESULTS: The total rate of treatment modification was 41.5 (95% confidence interval [CI], 37.6-45.8) per 100 person-years. Of these, switches or discontinuations because of drug toxicity occurred at a rate of 22.4 (95% CI, 19.5-25.6) per 100 person-years. The most frequent toxic effects were gastrointestinal tract intolerance (28.9%), hypersensitivity (18.3%), central nervous system adverse events (17.3%), and hepatic events (11.5%). In the multivariate analysis, combined zidovudine and lamivudine (hazard ratio [HR], 2.71 [95% CI, 1.95-3.83]; P < .001), nevirapine (1.95 [1.01-3.81]; P = .050), comedication for an opportunistic infection (2.24 [1.19-4.21]; P = .01), advanced age (1.21 [1.03-1.40] per 10-year increase; P = .02), female sex (1.68 [1.14-2.48]; P = .009), nonwhite ethnicity (1.71 [1.18-2.47]; P = .005), higher baseline CD4 cell count (1.19 [1.10-1.28] per 100/microL increase; P < .001), and HIV-RNA of more than 5.0 log(10) copies/mL (1.47 [1.10-1.97]; P = .009) were associated with higher rates of treatment modification. Almost 90% of individuals with treatment-limiting toxic effects were switched to a new regimen, and 85% achieved virologic suppression to less than 50 copies/mL at 12 months compared with 87% of those continuing CART (P = .56). CONCLUSIONS: Drug toxicity remains a frequent reason for treatment modification; however, it does not affect treatment success. Close monitoring and management of adverse effects and drug-drug interactions are crucial for the durability of CART.

Implication of DNA methylation, CTCF and BORIS factors in the transcriptional regulation of the human telomerase catalytic subunit hTERT

RESUME La télomérase confère une durée de vie illimitée et est réactivée dans la plupart des cellules tumorales. Sa sous-unité catalytique hTERT est définie comme le facteur limitant pour son activation. De l'identification de facteurs liant la région régulatrice d'hTERT, au rôle de la méthylation de l'ADN et de la modification des histones, de nombreux modèles de régulation ont été suggérés. Cependant, aucun de ces modèles n'a pu expliquer l'inactivation de la télomérase dans la plupart des cellules somatiques et sa réactivation dans la majorité des cellules tumorales. De plus, les observations contradictoires entre le faible niveau d'expression d'ARN messager d'hTERT dans les cellules télomérase-positives et la très forte activité transcriptionnelle du promoteur d'hTERT en transfection restent incomprises. Dans cette étude, nous avons montré que la région proximale du gène hTERT (exon 1 et 2) était impliquée dans la répression de l'activité de son promoteur. Nous avons identifié le facteur CTCF comme étant un inhibiteur du promoteur d'hTERT, en se liant au niveau de son premier exon. La méthylation de l'exon 1 du gène hTERT, couramment observée dans les tumeurs mais pas dans les cellules normales, empêcherait la liaison de CTCF. L'étude du profil de méthylation du promoteur d'hTERT indique qu'une partie du promoteur reste déméthylée et qu'elle semble suffisante pour permettre une faible activité transcriptionnelle du gène hTERT. Ainsi, la méthylation particulière des régions régulatrices d'hTERT inhibe la liaison de CTCF tout en permettant une faible transcription du gène. Cependant, dans certaines cellules tumorales, le promoteur et la région proximale du gène hTERT ne sont pas méthylés. Dans les lignées cellulaires tumorales de tesitcules et d'ovaires, l'inhibition de CTCF est contrée par son paralogue BORIS, qui se lie aussi au niveau de l'exon 1 d'hTERT, mais permet ainsi l'activation du promoteur. L'étude de l'expression du gène BORIS montre qu'il est exclusivement exprimé dans les tissus normaux de testicules et d'ovaires jeunes, ainsi qu'à différents niveaux dans la plupart des tumeurs. Sa transcription est sous le contrôle de deux promoteurs. Le promoteur proximal est régulé par méthylation et un transcrit alternatif majoritaire, délété de l'exon 6, est trouvé lorsque ce promoteur est actif. Tous ces résultats conduisent à un modèle de régulation du gène hTERT qui tient compte du profil épigénétique du gène et qui permet d'expliquer le faible taux de transcription observé in vivo. De plus, l'expression de BORIS dans les cancers et son implication dans l'activation du gène hTERT pourrait permettre de comprendre les phénomènes de dérégulation épigénétique et d'immortalisation qui ont lieu durant la tumorigenèse. SUMMARY Telomerase confers an unlimited lifespan, and is reactivated in most tumor cells. The catalytic subunit of telomerase, hTERT, is defined as the limiting factor for telomerase activity. Between activators and repressors that bind to the hTERT 5' regulatory region, and the role of CpG methylation and histone acetylation, an abundance of regulatory models have been suggested. None of these models can explain the silence of telomerase in most somatic cells and its reactivation in tumor cells. Moreover, the contradictory observations of the low level of hTERT mRNA in telomerase-positive cells and the high transcriptional activity of the hTERT promoter in transfection experiments remain unresolved. In this study, we demonstrated that the proximal exonic region of the hTERT gene (exon 1 and 2) is involved in the inhibition of its promoter. We identified the protein CTCF as the inhibitor of the hTERT promoter, through its binding to the first exon. The methylation of the first exon region, which is often observed in cancer cells but not in noimal cells, represses CTCF binding. Study of hTERT promoter methylation shows a partial demethylation sufficient to activate the transcription of the hTERT gene. Therefore, we demonstrated that the particular methylation profile of the hTERT regulatory sequences inhibits the binding of CTCF, while it allows a low transcription of the gene. Nevertheless, in some tumor cells, the promoter and the proximal exonic region of hTERT are unmethylated. In testicular and ovarian cancer cell lines, CTCF inhibition is counteracted by its BORIS paralogue that also binds the hTERT first exon but allows the promoter activation. The study of BORIS gene regulation showed that this factor is exclusively expressed in normal tissue of testis and ovary of young woman, as well as in almost all tumors with different levels. Two promoters were found to induce its transcription. The proximal promoter was regulated by methylation. Moreover, a major alternative transcript, deleted of the exon 6, is detected when this promoter is active. All these results lead to a model for hTERT regulation that takes into account the epigenetic profile of the gene and provides an explanation for the low transcriptional level observed in vivo. BORIS expression in cancers and its implication in hTERT activation might also permit the understanding of epigenetic deregulation and immortalization phenomena that occur during tumorigenesis.

Tissue-Specific Evolution of Protein Coding Genes in Human and Mouse.

Protein-coding genes evolve at different rates, and the influence of different parameters, from gene size to expression level, has been extensively studied. While in yeast gene expression level is the major causal factor of gene evolutionary rate, the situation is more complex in animals. Here we investigate these relations further, especially taking in account gene expression in different organs as well as indirect correlations between parameters. We used RNA-seq data from two large datasets, covering 22 mouse tissues and 27 human tissues. Over all tissues, evolutionary rate only correlates weakly with levels and breadth of expression. The strongest explanatory factors of purifying selection are GC content, expression in many developmental stages, and expression in brain tissues. While the main component of evolutionary rate is purifying selection, we also find tissue-specific patterns for sites under neutral evolution and for positive selection. We observe fast evolution of genes expressed in testis, but also in other tissues, notably liver, which are explained by weak purifying selection rather than by positive selection.

Human Capital Questionnaire (PHCQ): Assessment of European nurses' perception as indicators of human capital quality

Healthcare accreditation models generally include indicators related to healthcare employees' perceptions (e.g. satisfaction, career development, and health safety). During the accreditation process, organizations are asked to demonstrate the methods with which assessments are made. However, none of the models provide standardized systems for the assessment of employees. In this study, we analyzed the psychometric properties of an instrument for the assessment of nurses' perceptions as indicators of human capital quality in healthcare organizations. The Human Capital Questionnaire was applied to a sample of 902 nurses in four European countries (Spain, Portugal, Poland, and the UK). Exploratory factor analysis identified six factors: satisfaction with leadership, identification and commitment, satisfaction with participation, staff well-being, career development opportunities, and motivation. The results showed the validity and reliability of the questionnaire, which when applied to healthcare organizations, provide a better understanding of nurses' perceptions, and is a parsimonious instrument for assessment and organizational accreditation. From a practical point of view, improving the quality of human capital, by analyzing nurses and other healthcare employees' perceptions, is related to workforce empowerment.

Association of car ownership and physical activity across the spectrum of human development : Modeling the Epidemiologic Transition Study (METS).

BACKGROUND: Variations in physical activity (PA) across nations may be driven by socioeconomic position. As national incomes increase, car ownership becomes within reach of more individuals. This report characterizes associations between car ownership and PA in African-origin populations across 5 sites at different levels of economic development and with different transportation infrastructures: US, Seychelles, Jamaica, South Africa, and Ghana. METHODS: Twenty-five hundred adults, ages 25-45, were enrolled in the study. A total of 2,101 subjects had valid accelerometer-based PA measures (reported as average daily duration of moderate to vigorous PA, MVPA) and complete socioeconomic information. Our primary exposure of interest was whether the household owned a car. We adjusted for socioeconomic position using household income and ownership of common goods. RESULTS: Overall, PA levels did not vary largely between sites, with highest levels in South Africa, lowest in the US. Across all sites, greater PA was consistently associated with male gender, fewer years of education, manual occupations, lower income, and owning fewer material goods. We found heterogeneity across sites in car ownership: after adjustment for confounders, car owners in the US had 24.3 fewer minutes of MVPA compared to non-car owners in the US (20.7 vs. 45.1 minutes/day of MVPA); in the non-US sites, car-owners had an average of 9.7 fewer minutes of MVPA than non-car owners (24.9 vs. 34.6 minutes/day of MVPA). CONCLUSIONS: PA levels are similar across all study sites except Jamaica, despite very different levels of socioeconomic development. Not owning a car in the US is associated with especially high levels of MVPA. As car ownership becomes prevalent in the developing world, strategies to promote alternative forms of active transit may become important.

Longitudinal monitoring of endogenous steroids in human serum by UHPLC-MS/MS as a tool to detect testosterone abuse in sports.

The detection of testosterone abuse in sports is routinely achieved through the 'steroidal module' of the Athlete Biological Passport by GC-MS(/MS) quantification of selected endogenous anabolic androgenic steroids (EAAS) from athletes' urines. To overcome some limitations of the "urinary steroid profile" such as the presence of confounding factors (ethnicity, enzyme polymorphism, bacterial contamination, and ethanol), ultrahigh performance liquid chromatography (UHPLC) measurements of blood concentrations of testosterone, its major metabolites, and precursors could represent an interesting and complementary strategy. In this work, two UHPLC-MS/MS methods were developed for the quantification of testosterone and related compounds in human serum, including major progestogens, corticoids, and estrogens. The validated methods were then used for the analyses of serum samples collected from 19 healthy male volunteers after oral and transdermal testosterone administration. Results from unsupervised multiway analysis allowed variations of target analytes to be assessed simultaneously over a 96-h time period. Except for alteration of concentration values due to the circadian rhythm, which concerns mainly corticosteroids, DHEA, and progesterone, significant variations linked to the oral and transdermal testosterone administration were observed for testosterone, DHT, and androstenedione. As a second step of analysis, the longitudinal monitoring of these biomarkers using intra-individual thresholds showed, in comparison to urine, significant improvements in the detection of testosterone administration, especially for volunteers with del/del genotype for phase II UGT2B17 enzyme, not sensitive to the main urinary marker, T/E ratio. A substantial extension of the detection window after transdermal testosterone administration was also observed in serum matrix. The longitudinal follow-up proposed in this study represents a first example of 'blood steroid profile' in doping control analysis, which can be proposed in the future as a complement to the 'urinary module' for improving steroid abuse detection capabilities.

Characterisation of anatomical properties of the human basal ganglia using magnetic resonance imaging

The detailed in-vivo characterization of subcortical brain structures is essential not only to understand the basic organizational principles of the healthy brain but also for the study of the involvement of the basal ganglia in brain disorders. The particular tissue properties of basal ganglia - most importantly their high iron content, strongly affect the contrast of magnetic resonance imaging (MRI) images, hampering the accurate automated assessment of these regions. This technical challenge explains the substantial controversy in the literature about the magnitude, directionality and neurobiological interpretation of basal ganglia structural changes estimated from MRI and computational anatomy techniques. My scientific project addresses the pertinent need for accurate automated delineation of basal ganglia using two complementary strategies: ? Empirical testing of the utility of novel imaging protocols to provide superior contrast in the basal ganglia and to quantify brain tissue properties; ? Improvement of the algorithms for the reliable automated detection of basal ganglia and thalamus Previous research demonstrated that MRI protocols based on magnetization transfer (MT) saturation maps provide optimal grey-white matter contrast in subcortical structures compared with the widely used Tl-weighted (Tlw) images (Helms et al., 2009). Under the assumption of a direct impact of brain tissue properties on MR contrast my first study addressed the question of the mechanisms underlying the regional specificities effect of the basal ganglia. I used established whole-brain voxel-based methods to test for grey matter volume differences between MT and Tlw imaging protocols with an emphasis on subcortical structures. I applied a regression model to explain the observed grey matter differences from the regionally specific impact of brain tissue properties on the MR contrast. The results of my first project prompted further methodological developments to create adequate priors for the basal ganglia and thalamus allowing optimal automated delineation of these structures in a probabilistic tissue classification framework. I established a standardized workflow for manual labelling of the basal ganglia, thalamus and cerebellar dentate to create new tissue probability maps from quantitative MR maps featuring optimal grey-white matter contrast in subcortical areas. The validation step of the new tissue priors included a comparison of the classification performance with the existing probability maps. In my third project I continued investigating the factors impacting automated brain tissue classification that result in interpretational shortcomings when using Tlw MRI data in the framework of computational anatomy. While the intensity in Tlw images is predominantly

Transdermal formulations containing human sexual steroids: development and validation of methods and in vitro drug release

In vitro release of bioidentical hormones in four different liposomal transdermal emulsions (containing testosterone, progesterone, estradiol, or estradiol and estriol) was assessed. For this purpose, novel high-performance liquid chromatography methods were developed and validated in an eco-friendly manner and used to determine the in vitro release of such products. The methods were suitable for our intended goal, and the emulsions employed were found to be effective as transporting candidates for the efficient release of hormones in the transdermal delivery of human sexual steroids.

The application of cDNA and tissue microarray methods in the study of human carcinomas

Currently, numerous high-throughput technologies are available for the study of human carcinomas. In literature, many variations of these techniques have been described. The common denominator for these methodologies is the high amount of data obtained in a single experiment, in a short time period, and at a fairly low cost. However, these methods have also been described with several problems and limitations. The purpose of this study was to test the applicability of two selected high-throughput methods, cDNA and tissue microarrays (TMA), in cancer research. Two common human malignancies, breast and colorectal cancer, were used as examples. This thesis aims to present some practical considerations that need to be addressed when applying these techniques. cDNA microarrays were applied to screen aberrant gene expression in breast and colon cancers. Immunohistochemistry was used to validate the results and to evaluate the association of selected novel tumour markers with the outcome of the patients. The type of histological material used in immunohistochemistry was evaluated especially considering the applicability of whole tissue sections and different types of TMAs. Special attention was put on the methodological details in the cDNA microarray and TMA experiments. In conclusion, many potential tumour markers were identified in the cDNA microarray analyses. Immunohistochemistry could be applied to validate the observed gene expression changes of selected markers and to associate their expression change with patient outcome. In the current experiments, both TMAs and whole tissue sections could be used for this purpose. This study showed for the first time that securin and p120 catenin protein expression predict breast cancer outcome and the immunopositivity of carbonic anhydrase IX associates with the outcome of rectal cancer. The predictive value of these proteins was statistically evident also in multivariate analyses with up to a 13.1- fold risk for cancer specific death in a specific subgroup of patients.