@article{HarrisonClausJiangetal.2013, author = {Harrison, Odile B. and Claus, Heike and Jiang, Ying and Bennett, Julia S. and Bratcher, Holly B. and Jolley, Keith A. and Corton, Craig and Care, Rory and Poolman, Jan T. and Zollinger, Wendell D. and Frasch, Carl E. and Stephens, David S. and Feavers, Ian and Frosch, Matthias and Parkhill, Julian and Vogel, Ulrich and Quail, Michael A. and Bentley, Stephen D. and Maiden, Martin C. J.}, title = {Description and Nomenclature of Neisseria meningitidis Capsule Locus}, series = {Emerging Infectious Diseases}, volume = {19}, journal = {Emerging Infectious Diseases}, number = {4}, doi = {10.3201/eid1904.111799}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-131703}, pages = {566-573}, year = {2013}, abstract = {Pathogenic Neisseria meningitidis isolates contain a polysaccharide capsule that is the main virulence determinant for this bacterium. Thirteen capsular polysaccharides have been described, and nuclear magnetic resonance spectroscopy has enabled determination of the structure of capsular polysaccharides responsible for serogroup specificity. Molecular mechanisms involved in N. meningitidis capsule biosynthesis have also been identified, and genes involved in this process and in cell surface translocation are clustered at a single chromosomal locus termed cps. The use of multiple names for some of the genes involved in capsule synthesis, combined with the need for rapid diagnosis of serogroups commonly associated with invasive meningococcal disease, prompted a requirement for a consistent approach to the nomenclature of capsule genes. In this report, a comprehensive description of all N. meningitidis serogroups is provided, along with a proposed nomenclature, which was presented at the 2012 XVIIIth International Pathogenic Neisseria Conference.}, language = {en} } @article{DoerhoeferLammertKraneetal.2013, author = {D{\"o}rh{\"o}fer, Lena and Lammert, Alexander and Krane, Vera and Gorski, Mathias and Banas, Bernhard and Wanner, Christoph and Kr{\"a}mer, Bernhard K. and Heid, Iris M. and B{\"o}ger, Carsten A.}, title = {Study design of DIACORE (DIAbetes COhoRtE) - a cohort study of patients with diabetes mellitus type 2}, series = {BMC Medical Genetics}, volume = {14}, journal = {BMC Medical Genetics}, number = {25}, issn = {1471-2350}, doi = {10.1186/1471-2350-14-25}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-122040}, year = {2013}, abstract = {Background: Diabetes mellitus type 2 (DM2) is highly associated with increased risk for chronic kidney disease (CKD), end stage renal disease (ESRD) and cardiovascular morbidity. Epidemiological and genetic studies generate hypotheses for innovative strategies in DM2 management by unravelling novel mechanisms of diabetes complications, which is essential for future intervention trials. We have thus initiated the DIAbetes COhoRtE study (DIACORE). Methods: DIACORE is a prospective cohort study aiming to recruit 6000 patients of self-reported Caucasian ethnicity with prevalent DM2 for at least 10 years of follow-up. Study visits are performed in University-based recruiting clinics in Germany using standard operating procedures. All prevalent DM2 patients in outpatient clinics surrounding the recruiting centers are invited to participate. At baseline and at each 2-year follow-up examination, patients are subjected to a core phenotyping protocol. This includes a standardized online questionnaire and physical examination to determine incident micro-and macrovascular DM2 complications, malignancy and hospitalization, with a primary focus on renal events. Confirmatory outcome information is requested from patient records. Blood samples are obtained for a centrally analyzed standard laboratory panel and for biobanking of aliquots of serum, plasma, urine, mRNA and DNA for future scientific use. A subset of the cohort is subjected to extended phenotyping, e. g. sleep apnea screening, skin autofluorescence measurement, non-mydriatic retinal photography and non-invasive determination of arterial stiffness. Discussion: DIACORE will enable the prospective evaluation of factors involved in DM2 complication pathogenesis using high-throughput technologies in biosamples and genetic epidemiological studies.}, language = {en} } @article{BremGruenblattDrechsleretal.2014, author = {Brem, Silvia and Gr{\"u}nblatt, Edna and Drechsler, Renate and Riederer, Peter and Walitza, Susanne}, title = {The neurobiological link between OCD and ADHD}, series = {Attention Deficit and Hyperactivity Disorders}, volume = {6}, journal = {Attention Deficit and Hyperactivity Disorders}, number = {3}, doi = {10.1007/s12402-014-0146-x}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-121312}, pages = {175-202}, year = {2014}, abstract = {Obsessive compulsive disorder (OCD) and attention deficit hyperactivity disorder (ADHD) are two of the most common neuropsychiatric diseases in paediatric populations. The high comorbidity of ADHD and OCD with each other, especially of ADHD in paediatric OCD, is well described. OCD and ADHD often follow a chronic course with persistent rates of at least 40-50 \%. Family studies showed high heritability in ADHD and OCD, and some genetic findings showed similar variants for both disorders of the same pathogenetic mechanisms, whereas other genetic findings may differentiate between ADHD and OCD. Neuropsychological and neuroimaging studies suggest that partly similar executive functions are affected in both disorders. The deficits in the corresponding brain networks may be responsible for the perseverative, compulsive symptoms in OCD but also for the disinhibited and impulsive symptoms characterizing ADHD. This article reviews the current literature of neuroimaging, neurochemical circuitry, neuropsychological and genetic findings considering similarities as well as differences between OCD and ADHD.}, language = {en} } @article{BoelchJansenMeffertetal.2015, author = {Boelch, S. P. and Jansen, H. and Meffert, R. H. and Frey, S. P.}, title = {Six Sesamoid Bones on Both Feet: Report of a Rare Case}, series = {Journal of Clinical and Diagnostic Research}, volume = {9}, journal = {Journal of Clinical and Diagnostic Research}, number = {8}, doi = {10.7860/JCDR/2015/12842.6394}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-126073}, pages = {RD04-RD05}, year = {2015}, abstract = {There is a variation of the total number of distinct bones in the human in the literature. This difference is mainly caused by the variable existence of sesamoid bones. Sesamoid bones at the first MTP are seen regularly. In contrast additional sesamoid bones at the divond to fifth MTP are rare. We report a case of additional sesamoid bones at every metatarsophalangeal joint (MTP) of both feet. A 22-year-old female Caucasian presented with weight-dependent pain of the divond MTP of the left foot. In the radiographs of both feet additional sesamoid bones at every MTP could be seen. This case reports a very rare variation in human anatomy. A similar case has not been displayed to the academic society and therefore should be acknowledged.}, language = {en} } @article{MergetKoetschanHackletal.2012, author = {Merget, Benjamin and Koetschan, Christian and Hackl, Thomas and F{\"o}rster, Frank and Dandekar, Thomas and M{\"u}ller, Tobias and Schultz, J{\"o}rg and Wolf, Matthias}, title = {The ITS2 Database}, series = {Journal of Visual Expression}, volume = {61}, journal = {Journal of Visual Expression}, number = {e3806}, doi = {10.3791/3806}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-124600}, year = {2012}, abstract = {The internal transcribed spacer 2 (ITS2) has been used as a phylogenetic marker for more than two decades. As ITS2 research mainly focused on the very variable ITS2 sequence, it confined this marker to low-level phylogenetics only. However, the combination of the ITS2 sequence and its highly conserved secondary structure improves the phylogenetic resolution1 and allows phylogenetic inference at multiple taxonomic ranks, including species delimitation. The ITS2 Database presents an exhaustive dataset of internal transcribed spacer 2 sequences from NCBI GenBank accurately reannotated. Following an annotation by profile Hidden Markov Models (HMMs), the secondary structure of each sequence is predicted. First, it is tested whether a minimum energy based fold (direct fold) results in a correct, four helix conformation. If this is not the case, the structure is predicted by homology modeling. In homology modeling, an already known secondary structure is transferred to another ITS2 sequence, whose secondary structure was not able to fold correctly in a direct fold. The ITS2 Database is not only a database for storage and retrieval of ITS2 sequence-structures. It also provides several tools to process your own ITS2 sequences, including annotation, structural prediction, motif detection and BLAST search on the combined sequence-structure information. Moreover, it integrates trimmed versions of 4SALE and ProfDistS for multiple sequence-structure alignment calculation and Neighbor Joining tree reconstruction. Together they form a coherent analysis pipeline from an initial set of sequences to a phylogeny based on sequence and secondary structure. In a nutshell, this workbench simplifies first phylogenetic analyses to only a few mouse-clicks, while additionally providing tools and data for comprehensive large-scale analyses.}, language = {en} } @article{PoethkePfenningHovestadt2007, author = {Poethke, Hans J. and Pfenning, Brenda and Hovestadt, Thomas}, title = {The relative contribution of individual and kin selection to the evolution of density-dependent dispersal rates}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-48225}, year = {2007}, abstract = {Questions: What are the relative contributions of kin selection and individual selection to the evolution of dispersal rates in fragmented landscapes? How do environmental parameters influence the relative contributions of both evolutionary forces? Features of the model: Individual-based simulation model of a metapopulation. Logistic local growth dynamics and density-dependent dispersal. An optional shuffling algorithm allows the continuous destruction of any genetic structure in the metapopulation. Ranges of key variables: Depending on dispersal mortality (0.05-0.4) and the strength of environmental fluctuations, mean dispersal probability varied between 0.05 and 0.5. Conclusions: For local population sizes of 100 individuals, kin selection alone could account for dispersal probabilities of up to 0.1. It may result in a ten-fold increase of optimal dispersal rates compared with those predicted on the basis of individual selection alone. Such a substantial contribution of kin selection to dispersal is restricted to cases where the overall dispersal probabilities are small (textless 0.1). In the latter case, as much as 30\% of the total fitness of dispersing individuals could arise from the increased reproduction of kin left in the natal patch.}, language = {en} }