@article{WildgruberAschenbrennerWendorffetal.2016,
  author    = {Wildgruber, Moritz and Aschenbrenner, Teresa and Wendorff, Heiko and Czubba, Maria and Glinzer, Almut and Haller, Bernhard and Schiemann, Matthias and Zimmermann, Alexander and Berger, Hermann and Eckstein, Hans-Henning and Meier, Reinhard and Wohlgemuth, Walter A. and Libby, Peter and Zernecke, Alma},
  title     = {The "Intermediate" CD14\(^{++}\)CD16\(^{+}\) monocyte subset increases in severe peripheral artery disease in humans},
  series = {Scientific Reports},
  volume    = {6},
  journal   = {Scientific Reports},
  number    = {39483},
  doi       = {10.1038/srep39483},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-167476},
  year      = {2016},
  abstract  = {Monocytes are key players in atherosclerotic. Human monocytes display a considerable heterogeneity and at least three subsets can be distinguished. While the role of monocyte subset heterogeneity has already been well investigated in coronary artery disease (CAD), the knowledge about monocytes and their heterogeneity in peripheral artery occlusive disease (PAOD) still is limited. Therefore, we aimed to investigate monocyte subset heterogeneity in patients with PAOD. Peripheral blood was obtained from 143 patients suffering from PAOD (Rutherford stage I to VI) and three monocyte subsets were identified by flow cytometry: CD14\(^{++}\)CD16\(^{-}\) classical monocytes, CD14\(^{+}\)CD16\(^{++}\) non-classical monocytes and CD14\(^{++}\)CD16\(^{+}\) intermediate monocytes. Additionally the expression of distinct surface markers (CD106, CD162 and myeloperoxidase MPO) was analyzed. Proportions of CD14\(^{++}\)CD16\(^{+}\) intermediate monocyte levels were significantly increased in advanced stages of PAOD, while classical and non-classical monocytes displayed no such trend. Moreover, CD162 and MPO expression increased significantly in intermediate monocyte subsets in advanced disease stages. Likewise, increased CD162 and MPO expression was noted in CD14\(^{++}\)CD16\(^{-}\) classical monocytes. These data suggest substantial dynamics in monocyte subset distributions and phenotypes in different stages of PAOD, which can either serve as biomarkers or as potential therapeutic targets to decrease the inflammatory burden in advanced stages of atherosclerosis.},
  language  = {en}
}
@article{LeiboldvandenHoveViechtbaueretal.2016,
  author    = {Leibold, NK and van den Hove, DLA and Viechtbauer, W and Buchanan, GF and Goossens, L and Lange, I and Knuts, I and Lesch, KP and Steinbusch, HWM and Schruers, KRJ},
  title     = {CO\(_{2}\) exposure as translational cross-species experimental model for panic},
  series = {Translational Psychiatry},
  volume    = {6},
  journal   = {Translational Psychiatry},
  number    = {e885},
  doi       = {10.1038/tp.2016.162},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-168308},
  year      = {2016},
  abstract  = {The current diagnostic criteria of the Diagnostic and Statistical Manual of Mental Disorders are being challenged by the heterogeneity and the symptom overlap of psychiatric disorders. Therefore, a framework toward a more etiology-based classification has been initiated by the US National Institute of Mental Health, the research domain criteria project. The basic neurobiology of human psychiatric disorders is often studied in rodent models. However, the differences in outcome measurements hamper the translation of knowledge. Here, we aimed to present a translational panic model by using the same stimulus and by quantitatively comparing the same outcome measurements in rodents, healthy human subjects and panic disorder patients within one large project. We measured the behavioral-emotional and bodily response to CO\(_{2}\) exposure in all three samples, allowing for a reliable cross-species comparison. We show that CO\(_{2}\) exposure causes a robust fear response in terms of behavior in mice and panic symptom ratings in healthy volunteers and panic disorder patients. To improve comparability, we next assessed the respiratory and cardiovascular response to CO\(_{2}\), demonstrating corresponding respiratory and cardiovascular effects across both species. This project bridges the gap between basic and human research to improve the translation of knowledge between these disciplines. This will allow significant progress in unraveling the etiological basis of panic disorder and will be highly beneficial for refining the diagnostic categories as well as treatment strategies.},
  language  = {en}
}
@article{AhmedZeeshanDandekar2016,
  author    = {Ahmed, Zeeshan and Zeeshan, Saman and Dandekar, Thomas},
  title     = {Mining biomedical images towards valuable information retrieval in biomedical and life sciences},
  series = {Database - The Journal of Biological Databases and Curation},
  volume    = {2016},
  journal   = {Database - The Journal of Biological Databases and Curation},
  doi       = {10.1093/database/baw118},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-162697},
  pages     = {baw118},
  year      = {2016},
  abstract  = {Biomedical images are helpful sources for the scientists and practitioners in drawing significant hypotheses, exemplifying approaches and describing experimental results in published biomedical literature. In last decades, there has been an enormous increase in the amount of heterogeneous biomedical image production and publication, which results in a need for bioimaging platforms for feature extraction and analysis of text and content in biomedical images to take advantage in implementing effective information retrieval systems. In this review, we summarize technologies related to data mining of figures. We describe and compare the potential of different approaches in terms of their developmental aspects, used methodologies, produced results, achieved accuracies and limitations. Our comparative conclusions include current challenges for bioimaging software with selective image mining, embedded text extraction and processing of complex natural language queries.},
  language  = {en}
}