60 research outputs found
De geprotocolleerde Interapy-behandeling van depressie via het internet resultaten van een gerandomiseerde trial
MMP-9 gene variants increase the risk for non-atopic asthma in children
<p>Abstract</p> <p>Background</p> <p>Atopic and non-atopic wheezing may be caused by different etiologies: while eosinophils are more important in atopic asthmatic wheezers, neutrophils are predominantly found in BAL samples of young children with wheezing. Both neutrophils as well as eosinophils may secrete matrix metalloproteinase 9 (MMP-9). Considering that MMP-9 plays an important role in airway wall thickening and airway inflammation, it may influence the development of obstructive airway phenotypes in children. In the present study we investigated whether genetic variations in <it>MMP-9 </it>influence the development of different forms of childhood asthma.</p> <p>Methods</p> <p>Genotyping of four HapMap derived tagging SNPs in the <it>MMP-9 </it>gene was performed using MALDI-TOF MS in three cross sectional study populations of German children (age 9-11; N = 4,264) phenotyped for asthma and atopic diseases according to ISAAC standard procedures. Effects of single SNPs and haplotypes were studied using SAS 9.1.3 and Haploview.</p> <p>Results</p> <p>SNP rs2664538 significantly increased the risk for non-atopic wheezing (OR 2.12, 95%CI 1.40-3.21, p < 0.001) and non-atopic asthma (OR 1.66, 95%CI 1.12-2.46, p = 0.011). Furthermore, the minor allele of rs3918241 may be associated with decreased expiratory flow measurements in non-atopic children. No significant effects on the development of atopy or total serum IgE levels were observed.</p> <p>Conclusions</p> <p>Our results have shown that homozygocity for <it>MMP-9 </it>variants increase the risk to develop non-atopic forms of asthma and wheezing, which may be explained by a functional role of MMP-9 in airway remodeling. These results suggest that different wheezing disorders in childhood are affected differently by genetic alterations.</p
Reproducible radiomics through automated machine learning validated on twelve clinical applications
Radiomics uses quantitative medical imaging features to predict clinical outcomes. Currently, in a new clinical application, findingthe optimal radiomics method out of the wide range of available options has to be done manually through a heuristic trial-anderror process. In this study we propose a framework for automatically optimizing the construction of radiomics workflows perapplication. To this end, we formulate radiomics as a modular workflow and include a large collection of common algorithms foreach component. To optimize the workflow per application, we employ automated machine learning using a random search andensembling. We evaluate our method in twelve different clinical applications, resulting in the following area under the curves: 1)liposarcoma (0.83); 2) desmoid-type fibromatosis (0.82); 3) primary liver tumors (0.80); 4) gastrointestinal stromal tumors (0.77);5) colorectal liver metastases (0.61); 6) melanoma metastases (0.45); 7) hepatocellular carcinoma (0.75); 8) mesenteric fibrosis(0.80); 9) prostate cancer (0.72); 10) glioma (0.71); 11) Alzheimer’s disease (0.87); and 12) head and neck cancer (0.84). Weshow that our framework has a competitive performance compared human experts, outperforms a radiomics baseline, and performssimilar or superior to Bayesian optimization and more advanced ensemble approaches. Concluding, our method fully automaticallyoptimizes the construction of radiomics workflows, thereby streamlining the search for radiomics biomarkers in new applications.To facilitate reproducibility and future research, we publicly release six datasets, the software implementation of our framework,and the code to reproduce this study
Use of complementary and alternative medicines by a sample of Turkish women for infertility enhancement: a descriptive study
<p>Abstract</p> <p>Background</p> <p>Infertility patients are a vulnerable group that often seeks a non-medical solution for their failure to conceive. World-wide, women use CAM for productive health, but only a limited number of studies report on CAM use to enhance fertility. Little is known about traditional and religious forms of therapies that are used in relation to conventional medicine in Turkey. We investigated the prevalence and types of complementary and alternative medicine (CAM) used by infertile Turkish women for fertility enhancement.</p> <p>Methods</p> <p>A face-to-face questionnaire inquiring demographic information and types of CAM used for fertility enhancement were completed by hundred infertility patients admitted to a primary care family planning centre in Van, Turkey between January and July 2009.</p> <p>Results</p> <p>The vast majority of infertile women had used CAM at least once for infertility. CAM use included religious interventions, herbal products and recommendations of traditional "hodja's" (faith healers). Of these women, 87.8% were abused in the last 12 months, 36.6% felt not being supported by her partner and 80.5% had never spoken with a physician about CAM.</p> <p>Conclusions</p> <p>Infertile Turkish women use complementary medicine frequently for fertility enhancement and are in need of information about CAM. Religious and traditional therapies are used as an adjunct to, rather than a substitute for, conventional medical therapy. Physicians need to approach fertility patients with sensitivity and should be able to council their patients about CAM accordingly.</p
Particulate Matter-Induced Lung Inflammation Increases Systemic Levels of PAI-1 and Activates Coagulation Through Distinct Mechanisms
Exposure of human populations to ambient particulate matter (PM) air pollution significantly contributes to the mortality attributable to ischemic cardiovascular events. We reported that mice treated with intratracheally instilled PM develop a prothrombotic state that requires the release of IL-6 by alveolar macrophages. We sought to determine whether exposure of mice to PM increases the levels of PAI-1, a major regulator of thrombolysis, via a similar or distinct mechanism. mice but was absent in mice treated with etanercept, a TNF-α inhibitor. Treatment with etanercept did not prevent the PM-induced tendency toward thrombus formation.Mice exposed to inhaled PM exhibited a TNF-α-dependent increase in PAI-1 and an IL-6-dependent activation of coagulation. These results suggest that multiple mechanisms link PM-induced lung inflammation with the development of a prothrombotic state
Pregnancy-related pelvic girdle pain: an update
A large number of scientists from a wide range of medical and surgical disciplines have reported on the existence and characteristics of the clinical syndrome of pelvic girdle pain during or after pregnancy. This syndrome refers to a musculoskeletal type of persistent pain localised at the anterior and/or posterior aspect of the pelvic ring. The pain may radiate across the hip joint and the thigh bones. The symptoms may begin either during the first trimester of pregnancy, at labour or even during the postpartum period. The physiological processes characterising this clinical entity remain obscure. In this review, the definition and epidemiology, as well as a proposed diagnostic algorithm and treatment options, are presented. Ongoing research is desirable to establish clear management strategies that are based on the pathophysiologic mechanisms responsible for the escalation of the syndrome's symptoms to a fraction of the population of pregnant women
Class V bacteriocin biosynthesis gene cassettes and their organization in three <i>Lactobacillus</i> species including <i>L. pentosus</i> KCA1.
<p>PenA represents the pentocin KCA1 precursor. Adapted from Kawai et al, 2009, AEM 75∶1324–1330.</p
Phylogenetic tree of <i>Lactobacillus</i> species showing the position of <i>L. pentosus</i> KCA1 based on the 16S rRNA gene sequences.
<p>The numbers at the end of each strain indicates the accession number. Sequences were aligned with MUSCLE <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0059239#pone.0059239-Finn1" target="_blank">[58]</a>, and unreliable positions were curated using Gblocks <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0059239#pone.0059239-Edgar1" target="_blank">[59]</a>. A maximum likelihood tree was generated by PhyML using the GTR substitution model <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0059239#pone.0059239-Castresana1" target="_blank">[60]</a> and allowing 4 rate substitution categories. Confidence values for the branching order were generated by bootstrapping (based on 100 replications). The number at the nodes indicates the bootstrap values. The scale bar indicates 1 nucleotide substitution per 100 nucleotides.</p
Phylogenetic tree of Lactobacillus species showing the position of <i>L. pentosus</i> KCA1 based on the sequences of the housekeeping gene recA, relative to other plantarum and pentosus strains.
<p>The numbers at the end of each strain indicates the accession number. Sequences were aligned with MUSCLE <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0059239#pone.0059239-Finn1" target="_blank">[58]</a>, and unreliable positions were curated using Gblocks <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0059239#pone.0059239-Edgar1" target="_blank">[59]</a>. A maximum likelihood tree was generated by PhyML using the GTR substitution model <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0059239#pone.0059239-Castresana1" target="_blank">[60]</a> and allowing 4 rate substitution categories. Confidence values (%) for the branching order were generated by bootstrapping (based on 100 replications). The number at the nodes indicated the bootstrap values. The scale bar indicates 1 nucloetide substitution per 100 nucleotides.</p
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