65 research outputs found
Altered expression of transforming growth factor-βs in chronic renal rejection
Altered expression of transforming growth factor-βs in chronic renal rejection. We examined the altered expression of transforming growth factor-βs in chronic renal rejection in humans, including transforming growth factor beta-1 (TGF-β1), TGF-β2, TGF-β3 and their receptors, transforming growth factor beta receptor type I (TβR-I) and TβR-II. Using Northern blot analysis and immunohistochemistry, 10 specimens of chronically rejected and 8 normal kidney samples were analyzed. By Northern blot analysis the expression of mRNA encoding TGF-β1, TGF-β2, TGF-β3 (P < 0.02), TβR-I and TβR-II (P < 0.02) was decreased in chronically rejected renal cortex samples, compared to normal controls. Immunohistochemical analysis of the normal renal cortex showed strong immunostaining for TGF-β1 and TGF-β3, and mild immunostaining for TGF-β2 in the proximal and distal tubulointerstitium, but no signal for any of the TGF-β isoforms in the glomeruli or in the cortical vessels. In sharp contrast, the glomeruli and the cortical vessels of the rejected kidney specimens exhibited strong immunostaining for TGF-β1 and TGF-β3, whereas the tubules revealed a decrease in immunoreactivity. TβRI and TβRII immunostaining showed similar changes as observed with TGF-β1 and TGF-β3 antibodies. There was a concomitant increase in B-cell accumulation in the glomeruli, while T-cells and macrophages were diffusely abundant in the rejected samples. Since TGF-βs are potent inducers of extracellular matrix proteins and have been shown to be involved in fibrotic disease, the increase in TGF-β1 and TGF-β3 immunoreactivity in the glomeruli suggests that there is a redistribution in TGF-β expression in chronic renal allograft rejection. Together with changes affected by B-cell mediated immunity, the above alterations might contribute to the histopathological changes that occur in this disorder, such as intimal fibrosis, arteriosclerosis and glomerular and tubular sclerosis
A Systematic Review of Music Therapy Practice and Outcomes with Acute Adult Psychiatric In-Patients
PMCID: PMC3732280This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
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A systematic review of frameworks for the interrelationships of mental health evidence and policy in low- and middle-income countries
Background: The interrelationships between research evidence and policy-making are complex. Different theoretical frameworks exist to explain general evidence–policy interactions. One largely unexplored element of these interrelationships is how evidence interrelates with, and influences, policy/political agenda-setting. This review aims to identify the elements and processes of theories, frameworks and models on interrelationships of research evidence and health policy-making, with a focus on actionability and agenda-setting in the context of mental health in low- and middle-income countries (LMICs).
Methods: A systematic review of theories was conducted based on the BeHeMOTh search method, using a tested and refined search strategy. Nine electronic databases and other relevant sources were searched for peer-reviewed and grey literature. Two reviewers screened the abstracts, reviewed full-text articles, extracted data and performed quality assessments. Analysis was based on a thematic analysis. The included papers had to present an actionable theoretical framework/model on evidence and policy interrelationships, such as knowledge translation or evidence-based policy, specifically target the agenda-setting process, focus on mental health, be from LMICs and published in English.
Results: From 236 publications included in the full text analysis, no studies fully complied with our inclusion criteria. Widening the focus by leaving out ‘agenda-setting’, we included ten studies, four of which had unique conceptual frameworks focusing on mental health and LMICs but not agenda-setting. The four analysed frameworks confirmed research gaps from LMICs and mental health, and a lack of focus on agenda-setting. Frameworks and models from other health and policy areas provide interesting conceptual approaches and lessons with regards to agenda-setting.
Conclusion: Our systematic review identified frameworks on evidence and policy interrelations that differ in their elements and processes. No framework fulfilled all inclusion criteria. Four actionable frameworks are applicable to mental health and LMICs, but none specifically target agenda-setting. We have identified agenda-setting as a research theory gap in the context of mental health knowledge translation in LMICs. Frameworks from other health/policy areas could offer lessons on agenda-setting and new approaches for creating policy impact for mental health and to tackle the translational gap in LMICs
ESR1 and EGF genetic variation in relation to breast cancer risk and survival
The main purposes of this thesis were to analyse common genetic variation in candidate
genes and candidate pathways in relation to breast cancer risk, prognosticators and
survival, to develop statistical methods for genetic association analysis for evaluating
the joint importance of genes, and to investigate the potential impact of adding genetic
information to clinical risk factors for projecting individualised risk of developing
breast cancer over specific time periods.
In Paper I we studied genetic variation in the estrogen receptor α and epidermal growth
factor genes in relation to breast cancer risk and survival. We located a region in the
estrogen receptor α gene which showed a moderate signal for association with breast
cancer risk but were unable to link common variation in the epidermal growth factor
gene with breast cancer aetiology or prognosis.
In Paper II we investigated whether suspected breast cancer risk SNPs within genes
involved in androgen-to-estrogen conversion are associated with breast cancer
prognosticators grade, lymph node status and tumour size. The strongest association
was observed for a marker within the CYP19A1 gene with histological grade. We also
found evidence that a second marker from the same gene is associated with histological
grade and tumour size.
In Paper III we developed a novel test of association which incorporates multivariate
measures of categorical and continuous heterogeneity. In this work we described both a
single-SNP and a global multi-SNP test and used simulated data to demonstrate the
power of the tests when genetic effects differ across disease subtypes.
In Paper IV we assessed the extent to which recently associated genetic risk variants
improve breast cancer risk-assessment models. We investigated empirically the
performance of eighteen breast cancer risk SNPs together with mammographic density
and clinical risk factors in predicting absolute risk of breast cancer. We also examined
the usefulness of various prediction models considered at a population level for a
variety of individualised breast cancer screening approaches.
The goal of a genetic association study is to establish statistical associations between
genetic variants and disease states. Each variant linked to a disease can lead the way to
a better understanding of the underlying biological mechanisms that govern the
development of a disease. Increased knowledge of molecular variation provides the
opportunity to stratify populations according to genetic makeup, which in turn has the
potential to lead to improved disease prevention programs and improved patient care
The self-organizing fractal theory as a universal discovery method: the phenomenon of life
A universal discovery method potentially applicable to all disciplines studying organizational phenomena has been developed. This method takes advantage of a new form of global symmetry, namely, scale-invariance of self-organizational dynamics of energy/matter at all levels of organizational hierarchy, from elementary particles through cells and organisms to the Universe as a whole. The method is based on an alternative conceptualization of physical reality postulating that the energy/matter comprising the Universe is far from equilibrium, that it exists as a flow, and that it develops via self-organization in accordance with the empirical laws of nonequilibrium thermodynamics. It is postulated that the energy/matter flowing through and comprising the Universe evolves as a multiscale, self-similar structure-process, i.e., as a self-organizing fractal. This means that certain organizational structures and processes are scale-invariant and are reproduced at all levels of the organizational hierarchy. Being a form of symmetry, scale-invariance naturally lends itself to a new discovery method that allows for the deduction of missing information by comparing scale-invariant organizational patterns across different levels of the organizational hierarchy
The need for harmonization and innovation of neuropsychological assessment in neurodegenerative dementias in Europe: consensus document of the Joint Program for Neurodegenerative Diseases Working Group
Cognitive, behavioural, and functional assessment is crucial in longitudinal studies of neurodegenerative dementias
(NDD). Central issues, such as the definition of the study population (asymptomatic, at risk, or individuals with dementia),
the detection of change/decline, and the assessment of relevant outcomes depend on quantitative measures
of cognitive, behavioural, and functional status.
Currently, we are far from having available reliable protocols and tools for the assessment of dementias in Europe. The
main problems are the heterogeneity of the tools used across different European countries, the lack of standardisation
of administration and scoring methods across centres, and the limited information available about the psychometric
properties of many tests currently in widespread use. This situation makes it hard to compare results across studies
carried out in different centres, thus hampering research progress, in particular towards the contribution to a “big data”
common data set.
We present here the results of a project funded by the Joint Program for Neurodegenerative Diseases (JPND) and by the
Italian Ministry of Health. The project aimed at providing a consensus framework for the harmonisation of assessment
tools to be applied to research in neurodegenerative disorders affecting cognition across Europe. A panel of European
experts reviewed the current methods of neuropsychological assessment, identified pending issues, and made
recommendations for the harmonisation of neuropsychological assessment of neurodegenerative dementias in Europe.
A consensus was achieved on the general recommendations to be followed in developing procedures and tools for
neuropsychological assessment, with the aim of harmonising tools and procedures to achieve more reliable data on the
cognitive-behavioural examination. The results of this study should be considered as a first step to enhancing a common
view and practise on NDD assessment across European countries
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