@article{LeonhardtSpielbergWeberetal.2015, author = {Leonhardt, Ines and Spielberg, Steffi and Weber, Michael and Albrecht-Eckardt, Daniela and Bl{\"a}ss, Markus and Claus, Ralf and Barz, Dagmar and Scherlach, Kirstin and Hertweck, Christian and L{\"o}ffler, J{\"u}rgen and H{\"u}nniger, Kerstin and Kurzai, Oliver}, title = {The fungal quorum-sensing molecule farnesol activates innate immune cells but suppresses cellular adaptive immunity}, series = {mBio}, volume = {6}, journal = {mBio}, number = {2}, doi = {10.1128/mBio.00143-15}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-143756}, pages = {e00143-15}, year = {2015}, abstract = {Farnesol, produced by the polymorphic fungus Candida albicans, is the first quorum-sensing molecule discovered in eukaryotes. Its main function is control of C. albicans filamentation, a process closely linked to pathogenesis. In this study, we analyzed the effects of farnesol on innate immune cells known to be important for fungal clearance and protective immunity. Farnesol enhanced the expression of activation markers on monocytes (CD86 and HLA-DR) and neutrophils (CD66b and CD11b) and promoted oxidative burst and the release of proinflammatory cytokines (tumor necrosis factor alpha [TNF-\(\alpha\)] and macrophage inflammatory protein 1 alpha [MIP-1 \(\alpha\)]). However, this activation did not result in enhanced fungal uptake or killing. Furthermore, the differentiation of monocytes to immature dendritic cells (iDC) was significantly affected by farnesol. Several markers important for maturation and antigen presentation like CD1a, CD83, CD86, and CD80 were significantly reduced in the presence of farnesol. Furthermore, farnesol modulated migrational behavior and cytokine release and impaired the ability of DC to induce T cell proliferation. Of major importance was the absence of interleukin 12 (IL-12) induction in iDC generated in the presence of farnesol. Transcriptome analyses revealed a farnesol-induced shift in effector molecule expression and a down-regulation of the granulocyte-macrophage colony-stimulating factor (GM-CSF) receptor during monocytes to iDC differentiation. Taken together, our data unveil the ability of farnesol to act as a virulence factor of C. albicans by influencing innate immune cells to promote inflammation and mitigating the Th1 response, which is essential for fungal clearance.}, language = {en} } @article{BleinBardelDanjeanetal.2015, author = {Blein, Sophie and Bardel, Claire and Danjean, Vincent and McGuffog, Lesley and Healay, Sue and Barrowdale, Daniel and Lee, Andrew and Dennis, Joe and Kuchenbaecker, Karoline B. and Soucy, Penny and Terry, Mary Beth and Chung, Wendy K. and Goldgar, David E. and Buys, Saundra S. and Janavicius, Ramunas and Tihomirova, Laima and Tung, Nadine and Dorfling, Cecilia M. and van Rensburg, Elizabeth J. and Neuhausen, Susan L. and Ding, Yuan Chun and Gerdes, Anne-Marie and Ejlertsen, Bent and Nielsen, Finn C. and Hansen, Thomas V. O. and Osorio, Ana and Benitez, Javier and Andreas Conejero, Raquel and Segota, Ena and Weitzel, Jeffrey N. and Thelander, Margo and Peterlongo, Paolo and Radice, Paolo and Pensotti, Valeria and Dolcetti, Riccardo and Bonanni, Bernardo and Peissel, Bernard and Zaffaroni, Daniela and Scuvera, Giulietta and Manoukian, Siranoush and Varesco, Liliana and Capone, Gabriele L. and Papi, Laura and Ottini, Laura and Yannoukakos, Drakoulis and Konstantopoulou, Irene and Garber, Judy and Hamann, Ute and Donaldson, Alan and Brady, Angela and Brewer, Carole and Foo, Claire and Evans, D. Gareth and Frost, Debra and Eccles, Diana and Douglas, Fiona and Cook, Jackie and Adlard, Julian and Barwell, Julian and Walker, Lisa and Izatt, Louise and Side, Lucy E. and Kennedy, M. John and Tischkowitz, Marc and Rogers, Mark T. and Porteous, Mary E. and Morrison, Patrick J. and Platte, Radka and Eeles, Ros and Davidson, Rosemarie and Hodgson, Shirley and Cole, Trevor and Godwin, Andrew K and Isaacs, Claudine and Claes, Kathleen and De Leeneer, Kim and Meindl, Alfons and Gehrig, Andrea and Wappenschmidt, Barbara and Sutter, Christian and Engel, Christoph and Niederacher, Dieter and Steinemann, Doris and Plendl, Hansjoerg and Kast, Karin and Rhiem, Kerstin and Ditsch, Nina and Arnold, Norbert and Varon-Mateeva, Raymonda and Schmutzler, Rita K. and Preisler-Adams, Sabine and Markov, Nadja Bogdanova and Wang-Gohrke, Shan and de Pauw, Antoine and Lefol, Cedrick and Lasset, Christine and Leroux, Dominique and Rouleau, Etienne and Damiola, Francesca and Dreyfus, Helene and Barjhoux, Laure and Golmard, Lisa and Uhrhammer, Nancy and Bonadona, Valerie and Sornin, Valerie and Bignon, Yves-Jean and Carter, Jonathan and Van Le, Linda and Piedmonte, Marion and DiSilvestro, Paul A. and de la Hoya, Miguel and Caldes, Trinidad and Nevanlinna, Heli and Aittom{\"a}ki, Kristiina and Jager, Agnes and van den Ouweland, Ans M. W. and Kets, Carolien M. and Aalfs, Cora M. and van Leeuwen, Flora E. and Hogervorst, Frans B. L. and Meijers-Heijboer, Hanne E. J. and Oosterwijk, Jan C. and van Roozendaal, Kees E. P. and Rookus, Matti A. and Devilee, Peter and van der Luijt, Rob B. and Olah, Edith and Diez, Orland and Teule, Alex and Lazaro, Conxi and Blanco, Ignacio and Del Valle, Jesus and Jakubowska, Anna and Sukiennicki, Grzegorz and Gronwald, Jacek and Spurdle, Amanda B. and Foulkes, William and Olswold, Curtis and Lindor, Noralene M. and Pankratz, Vernon S. and Szabo, Csilla I. and Lincoln, Anne and Jacobs, Lauren and Corines, Marina and Robson, Mark and Vijai, Joseph and Berger, Andreas and Fink-Retter, Anneliese and Singer, Christian F. and Rappaport, Christine and Geschwantler Kaulich, Daphne and Pfeiler, Georg and Tea, Muy-Kheng and Greene, Mark H. and Mai, Phuong L. and Rennert, Gad and Imyanitov, Evgeny N. and Mulligan, Anna Marie and Glendon, Gord and Andrulis, Irene L. and Tchatchou, Andrine and Toland, Amanda Ewart and Pedersen, Inge Sokilde and Thomassen, Mads and Kruse, Torben A. and Jensen, Uffe Birk and Caligo, Maria A. and Friedman, Eitan and Zidan, Jamal and Laitman, Yael and Lindblom, Annika and Melin, Beatrice and Arver, Brita and Loman, Niklas and Rosenquist, Richard and Olopade, Olufunmilayo I. and Nussbaum, Robert L. and Ramus, Susan J. and Nathanson, Katherine L. and Domchek, Susan M. and Rebbeck, Timothy R. and Arun, Banu K. and Mitchell, Gillian and Karlan, Bethy Y. and Lester, Jenny and Orsulic, Sandra and Stoppa-Lyonnet, Dominique and Thomas, Gilles and Simard, Jacques and Couch, Fergus J. and Offit, Kenenth and Easton, Douglas F. and Chenevix-Trench, Georgia and Antoniou, Antonis C. and Mazoyer, Sylvie and Phelan, Catherine M. and Sinilnikova, Olga M. and Cox, David G.}, title = {An original phylogenetic approach identified mitochondrial haplogroup T1a1 as inversely associated with breast cancer risk in BRCA2 mutation carriers}, series = {Breast Cancer Research}, volume = {17}, journal = {Breast Cancer Research}, number = {61}, doi = {10.1186/s13058-015-0567-2}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-145458}, year = {2015}, abstract = {Introduction: Individuals carrying pathogenic mutations in the BRCA1 and BRCA2 genes have a high lifetime risk of breast cancer. BRCA1 and BRCA2 are involved in DNA double-strand break repair, DNA alterations that can be caused by exposure to reactive oxygen species, a main source of which are mitochondria. Mitochondrial genome variations affect electron transport chain efficiency and reactive oxygen species production. Individuals with different mitochondrial haplogroups differ in their metabolism and sensitivity to oxidative stress. Variability in mitochondrial genetic background can alter reactive oxygen species production, leading to cancer risk. In the present study, we tested the hypothesis that mitochondrial haplogroups modify breast cancer risk in BRCA1/2 mutation carriers. Methods: We genotyped 22,214 (11,421 affected, 10,793 unaffected) mutation carriers belonging to the Consortium of Investigators of Modifiers of BRCA1/2 for 129 mitochondrial polymorphisms using the iCOGS array. Haplogroup inference and association detection were performed using a phylogenetic approach. ALTree was applied to explore the reference mitochondrial evolutionary tree and detect subclades enriched in affected or unaffected individuals. Results: We discovered that subclade T1a1 was depleted in affected BRCA2 mutation carriers compared with the rest of clade T (hazard ratio (HR) = 0.55; 95\% confidence interval (CI), 0.34 to 0.88; P = 0.01). Compared with the most frequent haplogroup in the general population (that is, H and T clades), the T1a1 haplogroup has a HR of 0.62 (95\% CI, 0.40 to 0.95; P = 0.03). We also identified three potential susceptibility loci, including G13708A/rs28359178, which has demonstrated an inverse association with familial breast cancer risk. Conclusions: This study illustrates how original approaches such as the phylogeny-based method we used can empower classical molecular epidemiological studies aimed at identifying association or risk modification effects.}, language = {en} } @article{KimFranckKangetal.2015, author = {Kim, Jae Ho and Franck, Julien and Kang, Taewook and Heinsen, Helmut and Ravid, Rivka and Ferrer, Isidro and Cheon, Mi Hee and Lee, Joo-Yong and Yoo, Jong Shin and Steinbusch, Harry W. and Salzet, Michel and Fournier, Isabelle and Park, Young Mok}, title = {Proteome-wide characterization of signalling interactions in the hippocampal CA4/DG subfield of patients with Alzheimer's disease}, series = {Scientific Reports}, volume = {5}, journal = {Scientific Reports}, number = {11138}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-151727}, year = {2015}, abstract = {Alzheimer's disease (AD) is the most common form of dementia; however, mechanisms and biomarkers remain unclear. Here, we examined hippocampal CA4 and dentate gyrus subfields, which are less studied in the context of AD pathology, in post-mortem AD and control tissue to identify possible biomarkers. We performed mass spectrometry-based proteomic analysis combined with label-free quantification for identification of differentially expressed proteins. We identified 4,328 proteins, of which 113 showed more than 2-fold higher or lower expression in AD hippocampi than in control tissues. Five proteins were identified as putative AD biomarkers (MDH2, PCLO, TRRAP, YWHAZ, and MUC19 isoform 5) and were cross-validated by immunoblotting, selected reaction monitoring, and MALDI imaging. We also used a bioinformatics approach to examine upstream signalling interactions of the 113 regulated proteins. Five upstream signalling (IGF1, BDNF, ZAP70, MYC, and cyclosporin A) factors showed novel interactions in AD hippocampi. Taken together, these results demonstrate a novel platform that may provide new strategies for the early detection of AD and thus its diagnosis.}, language = {en} } @article{KleikersHooijmansGoebetal.2015, author = {Kleikers, Pamela W. M. and Hooijmans, Carlijn and G{\"o}b, Eva and Langhauser, Friederike and Rewell, Sarah S. J. and Radermacher, Kim and Ritskes-Hoitinga, Merel and Howells, David W. and Kleinschnitz, Christoph and Schmidt, Harald H. H. W.}, title = {A combined pre-clinical meta-analysis and randomized confirmatory trial approach to improve data validity for therapeutic target validation}, series = {Scientific Reports}, volume = {5}, journal = {Scientific Reports}, number = {13428}, doi = {10.1038/srep13428}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-151401}, year = {2015}, abstract = {Biomedical research suffers from a dramatically poor translational success. For example, in ischemic stroke, a condition with a high medical need, over a thousand experimental drug targets were unsuccessful. Here, we adopt methods from clinical research for a late-stage pre-clinical meta-analysis (MA) and randomized confirmatory trial (pRCT) approach. A profound body of literature suggests NOX\(_{2}\) to be a major therapeutic target in stroke. Systematic review and MA of all available NOX\(_{2}\)\(^{-/y}\) studies revealed a positive publication bias and lack of statistical power to detect a relevant reduction in infarct size. A fully powered multi-center pRCT rejects NOX\(_{2}\) as a target to improve neurofunctional outcomes or achieve a translationally relevant infarct size reduction. Thus stringent statistical thresholds, reporting negative data and a MA-pRCT approach can ensure biomedical data validity and overcome risks of bias.}, language = {en} }