| 1. |
- Ljótsson, B., et al.
(författare)
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Provoking symptoms to relieve symptoms : A randomized controlled dismantling study of exposure therapy in irritable bowel syndrome
- 2014
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Ingår i: Behaviour Research and Therapy. - : Elsevier. - 0005-7967 .- 1873-622X. ; 55:1, s. 27-39
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Tidskriftsartikel (refereegranskat)abstract
- An internet-delivered cognitive behavioral treatment (ICBT) based on systematic exposure exercises has previously shown beneficial effects for patients with irritable bowel syndrome (IBS). Exposure exercises may be perceived as difficult for patients to perform because of the elicited short-term distress and clinicians may be reluctant to use these interventions. The aim of this study was to compare ICBT with the same protocol without systematic exposure (ICBT-WE) to assess if exposure had any incremental value. This randomized controlled dismantling study included 309 participants diagnosed with IBS. The treatment interventions lasted for 10 weeks and included online therapist contact. ICBT-WE comprised mindfulness, work with life values, acceptance, and encouraged reduced avoidance behaviors, while ICBT also included systematic exposure to IBS symptoms and related situations. Severity of IBS symptoms was measured with the Gastrointestinal Symptom Rating Scale-IBS version (GSRS-IBS). The between-group Cohen's don GSRS-IBS was 0.47(95% CI: 0.23-0.70) at post-treatment and 0.48 (95% CI: 0.20-0.76) at 6-month follow-up, favoring ICBT. We conclude that the systematic exposure included in the ICBT protocol has incremental effects over the other components in the protocol. This study provides evidence for the utility of exposure exercises in psychological treatments for IBS.
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| 2. |
- Kashani, Zahra RM, et al.
(författare)
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Kavosh: a new algorithm for finding network motifs
- 2009
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Ingår i: BMC Bioinformatics. - : BioMed Central. - 1471-2105. ; 10:318
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Tidskriftsartikel (refereegranskat)abstract
- BackgroundComplex networks are studied across many fields of science and are particularly important to understand biological processes. Motifs in networks are small connected sub-graphs that occur significantly in higher frequencies than in random networks. They have recently gathered much attention as a useful concept to uncover structural design principles of complex networks. Existing algorithms for finding network motifs are extremely costly in CPU time and memory consumption and have practically restrictions on the size of motifs.ResultsWe present a new algorithm (Kavosh), for finding k-size network motifs with less memory and CPU time in comparison to other existing algorithms. Our algorithm is based on counting all k-size sub-graphs of a given graph (directed or undirected). We evaluated our algorithm on biological networks of E. coli and S. cereviciae, and also on non-biological networks: a social and an electronic network.ConclusionThe efficiency of our algorithm is demonstrated by comparing the obtained results with three well-known motif finding tools. For comparison, the CPU time, memory usage and the similarities of obtained motifs are considered. Besides, Kavosh can be employed for finding motifs of size greater than eight, while most of the other algorithms have restriction on motifs with size greater than eight. The Kavosh source code and help files are freely available at: http://Lbb.ut.ac.ir/Download/LBBsoft/Kavosh/.
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| 3. |
- Pedersen, Helle Krogh, et al.
(författare)
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A computational framework to integrate high-throughput '-omics' datasets for the identification of potential mechanistic links
- 2018
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Ingår i: Nature Protocols. - : Nature Publishing Group. - 1754-2189 .- 1750-2799. ; 13:12, s. 2781-2800
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Tidskriftsartikel (refereegranskat)abstract
- We recently presented a three-pronged association study that integrated human intestinal microbiome data derived from shotgun-based sequencing with untargeted serum metabolome data and measures of host physiology. Metabolome and microbiome data are high dimensional, posing a major challenge for data integration. Here, we present a step-by-step computational protocol that details and discusses the dimensionality-reduction techniques used and methods for subsequent integration and interpretation of such heterogeneous types of data. Dimensionality reduction was achieved through a combination of data normalization approaches, binning of co-abundant genes and metabolites, and integration of prior biological knowledge. The use of prior knowledge to overcome functional redundancy across microbiome species is one central advance of our method over available alternative approaches. Applying this framework, other investigators can integrate various '-omics' readouts with variables of host physiology or any other phenotype of interest (e.g., connecting host and microbiome readouts to disease severity or treatment outcome in a clinical cohort) in a three-pronged association analysis to identify potential mechanistic links to be tested in experimental settings. Although we originally developed the framework for a human metabolome-microbiome study, it is generalizable to other organisms and environmental metagenomes, as well as to studies including other -omics domains such as transcriptomics and proteomics. The provided R code runs in ~1 h on a standard PC.
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| 4. |
- Pedersen, Helle Krogh, et al.
(författare)
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Human gut microbes impact host serum metabolome and insulin sensitivity
- 2016
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Ingår i: Nature. - : Nature Publishing Group. - 0028-0836 .- 1476-4687. ; 535:7612, s. 376-381
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Tidskriftsartikel (refereegranskat)abstract
- Insulin resistance is a forerunner state of ischaemic cardiovascular disease and type 2 diabetes. Here we show how the human gut microbiome impacts the serum metabolome and associates with insulin resistance in 277 non-diabetic Danish individuals. The serum metabolome of insulin-resistant individuals is characterized by increased levels of branched-chain amino acids (BCAAs), which correlate with a gut microbiome that has an enriched biosynthetic potential for BCAAs and is deprived of genes encoding bacterial inward transporters for these amino acids. Prevotella copri and Bacteroides vulgatus are identified as the main species driving the association between biosynthesis of BCAAs and insulin resistance, and in mice we demonstrate that P. copri can induce insulin resistance, aggravate glucose intolerance and augment circulating levels of BCAAs. Our findings suggest that microbial targets may have the potential to diminish insulin resistance and reduce the incidence of common metabolic and cardiovascular disorders.
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| 5. |
- Rumyantseva, Tatiana, et al.
(författare)
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Evaluation of the new AmpliSens multiplex real-time PCR assay for simultaneous detection of Neisseriagonorrhoeae, Chlamydiatrachomatis, Mycoplasmagenitalium, and Trichomonasvaginalis
- 2015
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Ingår i: Acta Pathologica, Microbiologica et Immunologica Scandinavica (APMIS). - : Wiley-Blackwell. - 0903-4641 .- 1600-0463. ; 123:10, s. 879-886
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Tidskriftsartikel (refereegranskat)abstract
- In this study, we performed an evaluation of the new CE-marked multiplex real-time AmpliSens N.gonorrhoeae/C.trachomatis/M.genitalium/T.vaginalis-MULTIPRIME-FRT PCR assay compared to APTIMA tests, i.e., APTIMA COMBO 2assay, APTIMA Trichomonasvaginalis assay (FDA-approved), and two different APTIMA Mycoplasmagenitalium assays (research use only; one of them only used for discrepancy analysis). Vaginal swabs (n=209) and first-void urine (FVU) specimens from females (n=498) and males (n=554), consecutive attendees (n=1261) at a dermatovenerological clinic in Sweden, were examined. The sensitivity of the AmpliSens PCR assay for detection of C.trachomatis (6.3% prevalence), M.genitalium (5.7% prevalence), N.gonorrhoeae (0.3% prevalence), and T.vaginalis (0.08% prevalence) was 97.5% (95% confidence interval (CI): 91.2-99.6%), 81.9% (95% CI: 70.7-89.7%), 100% (95% CI: 40.2-100%) and 100% (95% CI: 16.5-100%), respectively. The specificity of the AmpliSens PCR assay was 100% (95% CI: 99.6-100%) for all agents. The analytical sensitivity and specificity for N.gonorrhoeae detection was excellent, i.e., 55 international gonococcal strains detected and 135 isolates of 13 non-gonococcal Neisseria species were negative. In conclusion, the multiplex real-time AmpliSens N.gonorrhoeae/C.trachomatis/M.genitalium/T.vaginalis-MULTIPRIME-FRT PCR assay demonstrated high sensitivity and excellent specificity for the detection of C.trachomatis, N.gonorrhoeae, and T.vaginalis, and excellent specificity but suboptimal sensitivity for M.genitalium detection.
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| 6. |
- Unemo, Mats, 1970-, et al.
(författare)
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Clinical and analytical evaluation of the new Aptima Mycoplasma genitalium assay, with data on M. genitalium prevalence and antimicrobial resistance in M. genitalium in Denmark, Norway and Sweden in 2016
- 2018
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Ingår i: Clinical Microbiology and Infection. - : Elsevier. - 1198-743X .- 1469-0691. ; 24:5, s. 533-539
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Tidskriftsartikel (refereegranskat)abstract
- Objectives: Mycoplasma genitalium (MG) causes urethritis and cervicitis, potentially causing reproductive complications. Resistance in MG to first-line (azithromycin) and second-line (moxifloxacin) treatment has increased. We examined the clinical and analytical performance of the new Conformite Europeene (CE)/in vitro diagnostics (IVD) Aptima Mycoplasma genitalium assay (CE/IVD AMG; Hologic); the prevalence of MG, Chlamydia trachomatis (CT) and Neisseria gonorrhoeae (NG); and MG resistance to azithromycin and moxifloxacin in Denmark, Norway and Sweden in 2016.Methods: From February 2016 to February 2017, urogenital and extragenital (only in Denmark) specimens from consecutive attendees at three sexually transmitted disease clinics were tested with the CE/ IVD AMG, the research-use-only MG Alt TMA-1 assay (Hologic), Aptima Combo 2 (CT/NG) assay and a laboratory-developed TaqMan real-time mgpB quantitative real-time PCR (qPCR). Resistance-associated mutations were determined by sequencing. Strains of MG and other mycoplasma species in different concentrations were also tested.Results: In total 5269 patients were included. The prevalence of MG was 7.2% (382/5269; 4.9-9.8% in the countries). The sensitivity of the CE/IVD AMG, MG Alt TMA-1 and mgpB qPCR ranged 99.13-100%, 99.13 -100% and 73.24-81.60%, respectively, in the countries. The specificity ranged 99.57-99.96%, 100% and 99.69-100%, respectively. The prevalence of resistance-associated mutations for azithromycin and moxifloxacin was 41.4% (120/290; 17.7-56.6%) and 6.6% (18/274; 4.1-10.2%), respectively. Multidrug resistance was found in all countries (2.7%; 1.1-4.2%).Conclusions: Both transcription-mediated amplification (TMA)-based MG assays had a highly superior sensitivity compared to the mgpB qPCR. The prevalence of MG and azithromycin resistance was high. Validated and quality-assured molecular tests for MG, routine resistance testing of MG-positive samples and antimicrobial resistance surveillance are crucial.
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| 7. |
- Warsow, Gregor, et al.
(författare)
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ExprEssence : revealing the essence of differential experimental data in the context of an interaction/regulation net-work
- 2010
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Ingår i: BMC Systems Biology. - London, UK : BioMed Central (BMC). - 1752-0509. ; 4, s. 164-
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Tidskriftsartikel (refereegranskat)abstract
- Background: Experimentalists are overwhelmed by high-throughput data and there is an urgent need to condense information into simple hypotheses. For example, large amounts of microarray and deep sequencing data are becoming available, describing a variety of experimental conditions such as gene knockout and knockdown, the effect of interventions, and the differences between tissues and cell lines.Results: To address this challenge, we developed a method, implemented as a Cytoscape plugin called ExprEssence. As input we take a network of interaction, stimulation and/or inhibition links between genes/proteins, and differential data, such as gene expression data, tracking an intervention or development in time. We condense the network, highlighting those links across which the largest changes can be observed. Highlighting is based on a simple formula inspired by the law of mass action. We can interactively modify the threshold for highlighting and instantaneously visualize results. We applied ExprEssence to three scenarios describing kidney podocyte biology, pluripotency and ageing: 1) We identify putative processes involved in podocyte (de-)differentiation and validate one prediction experimentally. 2) We predict and validate the expression level of a transcription factor involved in pluripotency. 3) Finally, we generate plausible hypotheses on the role of apoptosis, cell cycle deregulation and DNA repair in ageing data obtained from the hippocampus.Conclusion: Reducing the size of gene/protein networks to the few links affected by large changes allows to screen for putative mechanistic relationships among the genes/proteins that are involved in adaptation to different experimental conditions, yielding important hypotheses, insights and suggestions for new experiments. We note that we do not focus on the identification of 'active subnetworks'. Instead we focus on the identification of single links (which may or may not form subnetworks), and these single links are much easier to validate experimentally than submodules. ExprEssence is available at http://sourceforge.net/projects/expressence/.
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