@article{DavisYuKeenanetal.2013, author = {Davis, Lea K. and Yu, Dongmei and Keenan, Clare L. and Gamazon, Eric R. and Konkashbaev, Anuar I. and Derks, Eske M. and Neale, Benjamin M. and Yang, Jian and Lee, S. Hong and Evans, Patrick and Barr, Cathy L. and Bellodi, Laura and Benarroch, Fortu and Berrio, Gabriel Bedoya and Bienvenu, Oscar J. and Bloch, Michael H. and Blom, Rianne M. and Bruun, Ruth D. and Budman, Cathy L. and Camarena, Beatriz and Campbell, Desmond and Cappi, Carolina and Cardona Silgado, Julio C. and Cath, Danielle C. and Cavallini, Maria C. and Chavira, Denise A. and Chouinard, Sylvian and Conti, David V. and Cook, Edwin H. and Coric, Vladimir and Cullen, Bernadette A. and Deforce, Dieter and Delorme, Richard and Dion, Yves and Edlund, Christopher K. and Egberts, Karin and Falkai, Peter and Fernandez, Thomas V. and Gallagher, Patience J. and Garrido, Helena and Geller, Daniel and Girard, Simon L. and Grabe, Hans J. and Grados, Marco A. and Greenberg, Benjamin D. and Gross-Tsur, Varda and Haddad, Stephen and Heiman, Gary A. and Hemmings, Sian M. J. and Hounie, Ana G. and Illmann, Cornelia and Jankovic, Joseph and Jenike, Micheal A. and Kennedy, James L. and King, Robert A. and Kremeyer, Barbara and Kurlan, Roger and Lanzagorta, Nuria and Leboyer, Marion and Leckman, James F. and Lennertz, Leonhard and Liu, Chunyu and Lochner, Christine and Lowe, Thomas L. and Macciardi, Fabio and McCracken, James T. and McGrath, Lauren M. and Restrepo, Sandra C. Mesa and Moessner, Rainald and Morgan, Jubel and Muller, Heike and Murphy, Dennis L. and Naarden, Allan L. and Ochoa, William Cornejo and Ophoff, Roel A. and Osiecki, Lisa and Pakstis, Andrew J. and Pato, Michele T. and Pato, Carlos N. and Piacentini, John and Pittenger, Christopher and Pollak, Yehunda and Rauch, Scott L. and Renner, Tobias J. and Reus, Victor I. and Richter, Margaret A. and Riddle, Mark A. and Robertson, Mary M. and Romero, Roxana and Ros{\`a}rio, Maria C. and Rosenberg, David and Rouleau, Guy A. and Ruhrmann, Stephan and Ruiz-Linares, Andreas and Sampaio, Aline S. and Samuels, Jack and Sandor, Paul and Sheppard, Broke and Singer, Harvey S. and Smit, Jan H. and Stein, Dan J. and Strengman, E. and Tischfield, Jay A. and Valencia Duarte, Ana V. and Vallada, Homero and Van Nieuwerburgh, Flip and Veenstra-VanderWeele, Jeremy and Walitza, Susanne and Wang, Ying and Wendland, Jens R. and Westenberg, Herman G. M. and Shugart, Yin Yao and Miguel, Euripedes C. and McMahon, William and Wagner, Michael and Nicolini, Humberto and Posthuma, Danielle and Hanna, Gregory L. and Heutink, Peter and Denys, Damiaan and Arnold, Paul D. and Oostra, Ben A. and Nestadt, Gerald and Freimer, Nelson B. and Pauls, David L. and Wray, Naomi R. and Stewart, S. Evelyn and Mathews, Carol A. and Knowles, James A. and Cox, Nancy J. and Scharf, Jeremiah M.}, title = {Partitioning the Heritability of Tourette Syndrome and Obsessive Compulsive Disorder Reveals Differences in Genetic Architecture}, series = {PLoS Genetics}, volume = {9}, journal = {PLoS Genetics}, number = {10}, issn = {1553-7390}, doi = {10.1371/journal.pgen.1003864}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-127377}, pages = {e1003864}, year = {2013}, abstract = {The direct estimation of heritability from genome-wide common variant data as implemented in the program Genome-wide Complex Trait Analysis (GCTA) has provided a means to quantify heritability attributable to all interrogated variants. We have quantified the variance in liability to disease explained by all SNPs for two phenotypically-related neurobehavioral disorders, obsessive-compulsive disorder (OCD) and Tourette Syndrome (TS), using GCTA. Our analysis yielded a heritability point estimate of 0.58 (se = 0.09, p = 5.64e-12) for TS, and 0.37 (se = 0.07, p = 1.5e-07) for OCD. In addition, we conducted multiple genomic partitioning analyses to identify genomic elements that concentrate this heritability. We examined genomic architectures of TS and OCD by chromosome, MAF bin, and functional annotations. In addition, we assessed heritability for early onset and adult onset OCD. Among other notable results, we found that SNPs with a minor allele frequency of less than 5\% accounted for 21\% of the TS heritability and 0\% of the OCD heritability. Additionally, we identified a significant contribution to TS and OCD heritability by variants significantly associated with gene expression in two regions of the brain (parietal cortex and cerebellum) for which we had available expression quantitative trait loci (eQTLs). Finally we analyzed the genetic correlation between TS and OCD, revealing a genetic correlation of 0.41 (se = 0.15, p = 0.002). These results are very close to previous heritability estimates for TS and OCD based on twin and family studies, suggesting that very little, if any, heritability is truly missing (i.e., unassayed) from TS and OCD GWAS studies of common variation. The results also indicate that there is some genetic overlap between these two phenotypically-related neuropsychiatric disorders, but suggest that the two disorders have distinct genetic architectures.}, language = {en} } @article{ZahoGhirlandoAlfonsoetal.2015, author = {Zaho, Huaying and Ghirlando, Rodolfo and Alfonso, Carlos and Arisaka, Fumio and Attali, Ilan and Bain, David L. and Bakhtina, Marina M. and Becker, Donald F. and Bedwell, Gregory J. and Bekdemir, Ahmet and Besong, Tabot M. D. and Birck, Catherine and Brautigam, Chad A. and Brennerman, William and Byron, Olwyn and Bzowska, Agnieszka and Chaires, Jonathan B. and Chaton, Catherine T. and Coelfen, Helmbut and Connaghan, Keith D. and Crowley, Kimberly A. and Curth, Ute and Daviter, Tina and Dean, William L. and Diez, Ana I. and Ebel, Christine and Eckert, Debra M. and Eisele, Leslie E. and Eisenstein, Edward and England, Patrick and Escalante, Carlos and Fagan, Jeffrey A. and Fairman, Robert and Finn, Ron M. and Fischle, Wolfgang and Garcia de la Torre, Jose and Gor, Jayesh and Gustafsson, Henning and Hall, Damien and Harding, Stephen E. and Hernandez Cifre, Jose G. and Herr, Andrew B. and Howell, Elizabeth E. and Isaac, Richard S. and Jao, Shu-Chuan and Jose, Davis and Kim, Soon-Jong and Kokona, Bashkim and Kornblatt, Jack A. and Kosek, Dalibor and Krayukhina, Elena and Krzizike, Daniel and Kusznir, Eric A. and Kwon, Hyewon and Larson, Adam and Laue, Thomas M. and Le Roy, Aline and Leech, Andrew P. and Lilie, Hauke and Luger, Karolin and Luque-Ortega, Juan R. and Ma, Jia and May, Carrie A. and Maynard, Ernest L. and Modrak-Wojcik, Anna and Mok, Yee-Foong and M{\"u}cke, Norbert and Nagel-Steger, Luitgard and Narlikar, Geeta J. and Noda, Masanori and Nourse, Amanda and Obsil, Thomas and Park, Chad K and Park, Jin-Ku and Pawelek, Peter D. and Perdue, Erby E. and Perkins, Stephen J. and Perugini, Matthew A. and Peterson, Craig L. and Peverelli, Martin G. and Piszczek, Grzegorz and Prag, Gali and Prevelige, Peter E. and Raynal, Bertrand D. E. and Rezabkova, Lenka and Richter, Klaus and Ringel, Alison E. and Rosenberg, Rose and Rowe, Arthur J. and Rufer, Arne C. and Scott, David J. and Seravalli, Javier G. and Solovyova, Alexandra S. and Song, Renjie and Staunton, David and Stoddard, Caitlin and Stott, Katherine and Strauss, Holder M. and Streicher, Werner W. and Sumida, John P. and Swygert, Sarah G. and Szczepanowski, Roman H. and Tessmer, Ingrid and Toth, Ronald T. and Tripathy, Ashutosh and Uchiyama, Susumu and Uebel, Stephan F. W. and Unzai, Satoru and Gruber, Anna Vitlin and von Hippel, Peter H. and Wandrey, Christine and Wang, Szu-Huan and Weitzel, Steven E and Wielgus-Kutrowska, Beata and Wolberger, Cynthia and Wolff, Martin and Wright, Edward and Wu, Yu-Sung and Wubben, Jacinta M. and Schuck, Peter}, title = {A Multilaboratory Comparison of Calibration Accuracy and the Performance of External References in Analytical Ultracentrifugation}, series = {PLoS ONE}, volume = {10}, journal = {PLoS ONE}, number = {5}, doi = {10.1371/journal.pone.0126420}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-151903}, pages = {e0126420}, year = {2015}, abstract = {Analytical ultracentrifugation (AUC) is a first principles based method to determine absolute sedimentation coefficients and buoyant molar masses of macromolecules and their complexes, reporting on their size and shape in free solution. The purpose of this multi-laboratory study was to establish the precision and accuracy of basic data dimensions in AUC and validate previously proposed calibration techniques. Three kits of AUC cell assemblies containing radial and temperature calibration tools and a bovine serum albumin (BSA) reference sample were shared among 67 laboratories, generating 129 comprehensive data sets. These allowed for an assessment of many parameters of instrument performance, including accuracy of the reported scan time after the start of centrifugation, the accuracy of the temperature calibration, and the accuracy of the radial magnification. The range of sedimentation coefficients obtained for BSA monomer in different instruments and using different optical systems was from 3.655 S to 4.949 S, with a mean and standard deviation of (4.304\(\pm\)0.188) S (4.4\%). After the combined application of correction factors derived from the external calibration references for elapsed time, scan velocity, temperature, and radial magnification, the range of s-values was reduced 7-fold with a mean of 4.325 S and a 6-fold reduced standard deviation of \(\pm\)0.030 S (0.7\%). In addition, the large data set provided an opportunity to determine the instrument-to-instrument variation of the absolute radial positions reported in the scan files, the precision of photometric or refractometric signal magnitudes, and the precision of the calculated apparent molar mass of BSA monomer and the fraction of BSA dimers. These results highlight the necessity and effectiveness of independent calibration of basic AUC data dimensions for reliable quantitative studies.}, language = {en} } @article{JiangOronClarketal.2016, author = {Jiang, Yuxiang and Oron, Tal Ronnen and Clark, Wyatt T. and Bankapur, Asma R. and D'Andrea, Daniel and Lepore, Rosalba and Funk, Christopher S. and Kahanda, Indika and Verspoor, Karin M. and Ben-Hur, Asa and Koo, Da Chen Emily and Penfold-Brown, Duncan and Shasha, Dennis and Youngs, Noah and Bonneau, Richard and Lin, Alexandra and Sahraeian, Sayed M. E. and Martelli, Pier Luigi and Profiti, Giuseppe and Casadio, Rita and Cao, Renzhi and Zhong, Zhaolong and Cheng, Jianlin and Altenhoff, Adrian and Skunca, Nives and Dessimoz, Christophe and Dogan, Tunca and Hakala, Kai and Kaewphan, Suwisa and Mehryary, Farrokh and Salakoski, Tapio and Ginter, Filip and Fang, Hai and Smithers, Ben and Oates, Matt and Gough, Julian and T{\"o}r{\"o}nen, Petri and Koskinen, Patrik and Holm, Liisa and Chen, Ching-Tai and Hsu, Wen-Lian and Bryson, Kevin and Cozzetto, Domenico and Minneci, Federico and Jones, David T. and Chapman, Samuel and BKC, Dukka and Khan, Ishita K. and Kihara, Daisuke and Ofer, Dan and Rappoport, Nadav and Stern, Amos and Cibrian-Uhalte, Elena and Denny, Paul and Foulger, Rebecca E. and Hieta, Reija and Legge, Duncan and Lovering, Ruth C. and Magrane, Michele and Melidoni, Anna N. and Mutowo-Meullenet, Prudence and Pichler, Klemens and Shypitsyna, Aleksandra and Li, Biao and Zakeri, Pooya and ElShal, Sarah and Tranchevent, L{\´e}on-Charles and Das, Sayoni and Dawson, Natalie L. and Lee, David and Lees, Jonathan G. and Sillitoe, Ian and Bhat, Prajwal and Nepusz, Tam{\´a}s and Romero, Alfonso E. and Sasidharan, Rajkumar and Yang, Haixuan and Paccanaro, Alberto and Gillis, Jesse and Sede{\~n}o-Cort{\´e}s, Adriana E. and Pavlidis, Paul and Feng, Shou and Cejuela, Juan M. and Goldberg, Tatyana and Hamp, Tobias and Richter, Lothar and Salamov, Asaf and Gabaldon, Toni and Marcet-Houben, Marina and Supek, Fran and Gong, Qingtian and Ning, Wei and Zhou, Yuanpeng and Tian, Weidong and Falda, Marco and Fontana, Paolo and Lavezzo, Enrico and Toppo, Stefano and Ferrari, Carlo and Giollo, Manuel and Piovesan, Damiano and Tosatto, Silvio C. E. and del Pozo, Angela and Fern{\´a}ndez, Jos{\´e} M. and Maietta, Paolo and Valencia, Alfonso and Tress, Michael L. and Benso, Alfredo and Di Carlo, Stefano and Politano, Gianfranco and Savino, Alessandro and Rehman, Hafeez Ur and Re, Matteo and Mesiti, Marco and Valentini, Giorgio and Bargsten, Joachim W. and van Dijk, Aalt D. J. and Gemovic, Branislava and Glisic, Sanja and Perovic, Vladmir and Veljkovic, Veljko and Almeida-e-Silva, Danillo C. and Vencio, Ricardo Z. N. and Sharan, Malvika and Vogel, J{\"o}rg and Kansakar, Lakesh and Zhang, Shanshan and Vucetic, Slobodan and Wang, Zheng and Sternberg, Michael J. E. and Wass, Mark N. and Huntley, Rachael P. and Martin, Maria J. and O'Donovan, Claire and Robinson, Peter N. and Moreau, Yves and Tramontano, Anna and Babbitt, Patricia C. and Brenner, Steven E. and Linial, Michal and Orengo, Christine A. and Rost, Burkhard and Greene, Casey S. and Mooney, Sean D. and Friedberg, Iddo and Radivojac, Predrag and Veljkovic, Nevena}, title = {An expanded evaluation of protein function prediction methods shows an improvement in accuracy}, series = {Genome Biology}, volume = {17}, journal = {Genome Biology}, number = {184}, doi = {10.1186/s13059-016-1037-6}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-166293}, year = {2016}, abstract = {Background A major bottleneck in our understanding of the molecular underpinnings of life is the assignment of function to proteins. While molecular experiments provide the most reliable annotation of proteins, their relatively low throughput and restricted purview have led to an increasing role for computational function prediction. However, assessing methods for protein function prediction and tracking progress in the field remain challenging. Results We conducted the second critical assessment of functional annotation (CAFA), a timed challenge to assess computational methods that automatically assign protein function. We evaluated 126 methods from 56 research groups for their ability to predict biological functions using Gene Ontology and gene-disease associations using Human Phenotype Ontology on a set of 3681 proteins from 18 species. CAFA2 featured expanded analysis compared with CAFA1, with regards to data set size, variety, and assessment metrics. To review progress in the field, the analysis compared the best methods from CAFA1 to those of CAFA2. Conclusions The top-performing methods in CAFA2 outperformed those from CAFA1. This increased accuracy can be attributed to a combination of the growing number of experimental annotations and improved methods for function prediction. The assessment also revealed that the definition of top-performing algorithms is ontology specific, that different performance metrics can be used to probe the nature of accurate predictions, and the relative diversity of predictions in the biological process and human phenotype ontologies. While there was methodological improvement between CAFA1 and CAFA2, the interpretation of results and usefulness of individual methods remain context-dependent.}, language = {en} } @article{BliziotisKluijtmansTinneveltetal.2022, author = {Bliziotis, Nikolaos G. and Kluijtmans, Leo A. J. and Tinnevelt, Gerjen H. and Reel, Parminder and Reel, Smarti and Langton, Katharina and Robledo, Mercedes and Pamporaki, Christina and Pecori, Alessio and Van Kralingen, Josie and Tetti, Martina and Engelke, Udo F. H. and Erlic, Zoran and Engel, Jasper and Deutschbein, Timo and N{\"o}lting, Svenja and Prejbisz, Aleksander and Richter, Susan and Adamski, Jerzy and Januszewicz, Andrzej and Ceccato, Filippo and Scaroni, Carla and Dennedy, Michael C. and Williams, Tracy A. and Lenzini, Livia and Gimenez-Roqueplo, Anne-Paule and Davies, Eleanor and Fassnacht, Martin and Remde, Hanna and Eisenhofer, Graeme and Beuschlein, Felix and Kroiss, Matthias and Jefferson, Emily and Zennaro, Maria-Christina and Wevers, Ron A. and Jansen, Jeroen J. and Deinum, Jaap and Timmers, Henri J. L. M.}, title = {Preanalytical pitfalls in untargeted plasma nuclear magnetic resonance metabolomics of endocrine hypertension}, series = {Metabolites}, volume = {12}, journal = {Metabolites}, number = {8}, issn = {2218-1989}, doi = {10.3390/metabo12080679}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-282930}, year = {2022}, abstract = {Despite considerable morbidity and mortality, numerous cases of endocrine hypertension (EHT) forms, including primary aldosteronism (PA), pheochromocytoma and functional paraganglioma (PPGL), and Cushing's syndrome (CS), remain undetected. We aimed to establish signatures for the different forms of EHT, investigate potentially confounding effects and establish unbiased disease biomarkers. Plasma samples were obtained from 13 biobanks across seven countries and analyzed using untargeted NMR metabolomics. We compared unstratified samples of 106 PHT patients to 231 EHT patients, including 104 PA, 94 PPGL and 33 CS patients. Spectra were subjected to a multivariate statistical comparison of PHT to EHT forms and the associated signatures were obtained. Three approaches were applied to investigate and correct confounding effects. Though we found signatures that could separate PHT from EHT forms, there were also key similarities with the signatures of sample center of origin and sample age. The study design restricted the applicability of the corrections employed. With the samples that were available, no biomarkers for PHT vs. EHT could be identified. The complexity of the confounding effects, evidenced by their robustness to correction approaches, highlighted the need for a consensus on how to deal with variabilities probably attributed to preanalytical factors in retrospective, multicenter metabolomics studies.}, language = {en} } @article{BliziotisKluijtmansSotoetal.2022, author = {Bliziotis, Nikolaos G. and Kluijtmans, Leo A. J. and Soto, Sebastian and Tinnevelt, Gerjen H. and Langton, Katharina and Robledo, Mercedes and Pamporaki, Christina and Engelke, Udo F. H. and Erlic, Zoran and Engel, Jasper and Deutschbein, Timo and N{\"o}lting, Svenja and Prejbisz, Aleksander and Richter, Susan and Prehn, Cornelia and Adamski, Jerzy and Januszewicz, Andrzej and Reincke, Martin and Fassnacht, Martin and Eisenhofer, Graeme and Beuschlein, Felix and Kroiss, Matthias and Wevers, Ron A. and Jansen, Jeroen J. and Deinum, Jaap and Timmers, Henri J. L. M.}, title = {Pre- versus post-operative untargeted plasma nuclear magnetic resonance spectroscopy metabolomics of pheochromocytoma and paraganglioma}, series = {Endocrine}, volume = {75}, journal = {Endocrine}, number = {1}, doi = {10.1007/s12020-021-02858-z}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-326574}, pages = {254-265}, year = {2022}, abstract = {Purpose Pheochromocytomas and Paragangliomas (PPGL) result in chronic catecholamine excess and serious health complications. A recent study obtained a metabolic signature in plasma from PPGL patients; however, its targeted nature may have generated an incomplete picture and a broader approach could provide additional insights. We aimed to characterize the plasma metabolome of PPGL patients before and after surgery, using an untargeted approach, and to broaden the scope of the investigated metabolic impact of these tumors. Design A cohort of 36 PPGL patients was investigated. Blood plasma samples were collected before and after surgical tumor removal, in association with clinical and tumor characteristics. Methods Plasma samples were analyzed using untargeted nuclear magnetic resonance (NMR) spectroscopy metabolomics. The data were evaluated using a combination of uni- and multi-variate statistical methods. Results Before surgery, patients with a nonadrenergic tumor could be distinguished from those with an adrenergic tumor based on their metabolic profiles. Tyrosine levels were significantly higher in patients with high compared to those with low BMI. Comparing subgroups of pre-operative samples with their post-operative counterparts, we found a metabolic signature that included ketone bodies, glucose, organic acids, methanol, dimethyl sulfone and amino acids. Three signals with unclear identities were found to be affected. Conclusions Our study suggests that the pathways of glucose and ketone body homeostasis are affected in PPGL patients. BMI-related metabolite levels were also found to be altered, potentially linking muscle atrophy to PPGL. At baseline, patient metabolomes could be discriminated based on their catecholamine phenotype.}, language = {en} } @article{HommersRichterYangetal.2018, author = {Hommers, L. G. and Richter, J. and Yang, Y. and Raab, A. and Baumann, C. and Lang, K. and Schiele, M. A. and Weber, H. and Wittmann, A. and Wolf, C. and Alpers, G. W. and Arolt, V. and Domschke, K. and Fehm, L. and Fydrich, T. and Gerlach, A. and Gloster, A. T. and Hamm, A. O. and Helbig-Lang, S. and Kircher, T. and Lang, T. and Pan{\´e}-Farr{\´e}, C. A. and Pauli, P. and Pfleiderer, B. and Reif, A. and Romanos, M. and Straube, B. and Str{\"o}hle, A. and Wittchen, H.-U. and Frantz, S. and Ertl, G. and Lohse, M. J. and Lueken, U. and Deckert, J.}, title = {A functional genetic variation of SLC6A2 repressor hsa-miR-579-3p upregulates sympathetic noradrenergic processes of fear and anxiety}, series = {Translational Psychiatry}, volume = {8}, journal = {Translational Psychiatry}, doi = {10.1038/s41398-018-0278-4}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-322497}, year = {2018}, abstract = {Increased sympathetic noradrenergic signaling is crucially involved in fear and anxiety as defensive states. MicroRNAs regulate dynamic gene expression during synaptic plasticity and genetic variation of microRNAs modulating noradrenaline transporter gene (SLC6A2) expression may thus lead to altered central and peripheral processing of fear and anxiety. In silico prediction of microRNA regulation of SLC6A2 was confirmed by luciferase reporter assays and identified hsa-miR-579-3p as a regulating microRNA. The minor (T)-allele of rs2910931 (MAFcases = 0.431, MAFcontrols = 0.368) upstream of MIR579 was associated with panic disorder in patients (pallelic = 0.004, ncases = 506, ncontrols = 506) and with higher trait anxiety in healthy individuals (pASI = 0.029, pACQ = 0.047, n = 3112). Compared to the major (A)-allele, increased promoter activity was observed in luciferase reporter assays in vitro suggesting more effective MIR579 expression and SLC6A2 repression in vivo (p = 0.041). Healthy individuals carrying at least one (T)-allele showed a brain activation pattern suggesting increased defensive responding and sympathetic noradrenergic activation in midbrain and limbic areas during the extinction of conditioned fear. Panic disorder patients carrying two (T)-alleles showed elevated heart rates in an anxiety-provoking behavioral avoidance test (F(2, 270) = 5.47, p = 0.005). Fine-tuning of noradrenaline homeostasis by a MIR579 genetic variation modulated central and peripheral sympathetic noradrenergic activation during fear processing and anxiety. This study opens new perspectives on the role of microRNAs in the etiopathogenesis of anxiety disorders, particularly their cardiovascular symptoms and comorbidities.}, language = {en} } @article{StraubeReifRichteretal.2014, author = {Straube, B. and Reif, A. and Richter, J. and Lueken, U. and Weber, H. and Arolt, V. and Jansen, A. and Zwanzger, P. and Domschke, K. and Pauli, P. and Konrad, C. and Gerlach, A. L. and Lang, T. and Fydrich, T. and Alpers, G. W. and Stroehle, A. and Wittmann, A. and Pfleiderer, B. and Wittchen, H.-U. and Hamm, A. and Deckert, J. and Kircher, T.}, title = {The functional - 1019C/G HTR1A polymorphism and mechanisms of fear}, series = {Translational Psychiatry}, volume = {4}, journal = {Translational Psychiatry}, issn = {2158-3188}, doi = {10.1038/tp.2014.130}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-114369}, pages = {e490}, year = {2014}, abstract = {Serotonin receptor 1A gene (HTR1A) knockout mice show pronounced defensive behaviour and increased fear conditioning to ambiguous conditioned stimuli. Such behaviour is a hallmark of pathological human anxiety, as observed in panic disorder with agoraphobia (PD/AG). Thus, variations in HTR1A might contribute to neurophysiological differences within subgroups of PD/AG patients. Here, we tested this hypothesis by combining genetic with behavioural techniques and neuroimaging. In a clinical multicentre trial, patients with PD/AG received 12 sessions of manualized cognitive-behavioural therapy (CBT) and were genotyped for HTR1A rs6295. In four subsamples of this multicentre trial, exposure behaviour (n = 185), defensive reactivity measured using a behavioural avoidance test (BAT; before CBT: n = 245; after CBT: n = 171) and functional magnetic resonance imaging (fMRI) data during fear conditioning were acquired before and after CBT (n = 39). HTR1A risk genotype (GG) carriers more often escaped during the BAT before treatment. Exploratory fMRI results suggest increased activation of the amygdala in response to threat as well as safety cues before and after treatment in GG carriers. Furthermore, GG carriers demonstrated reduced effects of CBT on differential conditioning in regions including the bilateral insulae and the anterior cingulate cortex. Finally, risk genotype carriers demonstrated reduced self-initiated exposure behaviour to aversive situations. This study demonstrates the effect of HTR1A variation on defensive behaviour, amygdala activity, CBT-induced neural plasticity and normalization of defence behaviour in PD/AG. Our results, therefore, translate evidence from animal studies to humans and suggest a central role for HTR1A in differentiating subgroups of patients with anxiety disorders.}, language = {en} } @article{ZieglerRichterMahretal.2016, author = {Ziegler, C. and Richter, J. and Mahr, M. and Gajewska, A. and Schiele, M.A. and Gehrmann, A. and Schmidt, B. and Lesch, K.-P. and Lang, T. and Helbig-Lang, S. and Pauli, P. and Kircher, T. and Reif, A. and Rief, W. and Vossbeck-Elsebusch, A.N. and Arolt, V. and Wittchen, H.-U. and Hamm, A.O. and Deckert, J. and Domschke, K.}, title = {MAOA gene hypomethylation in panic disorder-reversibility of an epigenetic risk pattern by psychotherapy}, series = {Translational Psychiatry}, journal = {Translational Psychiatry}, number = {6}, doi = {10.1038/tp.2016.41}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-164422}, pages = {e773}, year = {2016}, abstract = {Epigenetic signatures such as methylation of the monoamine oxidase A (MAOA) gene have been found to be altered in panic disorder (PD). Hypothesizing temporal plasticity of epigenetic processes as a mechanism of successful fear extinction, the present psychotherapy-epigenetic study for we believe the first time investigated MAOA methylation changes during the course of exposure-based cognitive behavioral therapy (CBT) in PD. MAOA methylation was compared between N=28 female Caucasian PD patients (discovery sample) and N=28 age- and sex-matched healthy controls via direct sequencing of sodium bisulfite-treated DNA extracted from blood cells. MAOA methylation was furthermore analyzed at baseline (T0) and after a 6-week CBT (T1) in the discovery sample parallelized by a waiting time in healthy controls, as well as in an independent sample of female PD patients (N=20). Patients exhibited lower MAOA methylation than healthy controls (P<0.001), and baseline PD severity correlated negatively with MAOA methylation (P=0.01). In the discovery sample, MAOA methylation increased up to the level of healthy controls along with CBT response (number of panic attacks; T0-T1: +3.37±2.17\%), while non-responders further decreased in methylation (-2.00±1.28\%; P=0.001). In the replication sample, increases in MAOA methylation correlated with agoraphobic symptom reduction after CBT (P=0.02-0.03). The present results support previous evidence for MAOA hypomethylation as a PD risk marker and suggest reversibility of MAOA hypomethylation as a potential epigenetic correlate of response to CBT. The emerging notion of epigenetic signatures as a mechanism of action of psychotherapeutic interventions may promote epigenetic patterns as biomarkers of lasting extinction effects.}, language = {en} } @article{RichterMathesFroniusetal.2016, author = {Richter, K. and Mathes, V. and Fronius, M. and Althaus, M. and Hecker, A. and Krasteva-Christ, G. and Padberg, W. and Hone, A. J. and McIntosh, J. M. and Zakrzewicz, A. and Grau, V.}, title = {Phosphocholine - an agonist of metabotropic but not of ionotropic functions of α9-containing nicotinic acetylcholine receptors}, series = {Scientific Reports}, volume = {6}, journal = {Scientific Reports}, number = {28660}, doi = {10.1038/srep28660}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-167655}, year = {2016}, abstract = {We demonstrated previously that phosphocholine and phosphocholine-modified macromolecules efficiently inhibit ATP-dependent release of interleukin-1β from human and murine monocytes by a mechanism involving nicotinic acetylcholine receptors (nAChR). Interleukin-1β is a potent pro-inflammatory cytokine of innate immunity that plays pivotal roles in host defence. Control of interleukin-1β release is vital as excessively high systemic levels cause life threatening inflammatory diseases. In spite of its structural similarity to acetylcholine, there are no other reports on interactions of phosphocholine with nAChR. In this study, we demonstrate that phosphocholine inhibits ion-channel function of ATP receptor P2X7 in monocytic cells via nAChR containing α9 and α10 subunits. In stark contrast to choline, phosphocholine does not evoke ion current responses in Xenopus laevis oocytes, which heterologously express functional homomeric nAChR composed of α9 subunits or heteromeric receptors containing α9 and α10 subunits. Preincubation of these oocytes with phosphocholine, however, attenuated choline-induced ion current changes, suggesting that phosphocholine may act as a silent agonist. We conclude that phophocholine activates immuno-modulatory nAChR expressed by monocytes but does not stimulate canonical ionotropic receptor functions.}, language = {en} } @article{ViljurAbellaAdameketal.2022, author = {Viljur, Mari-Liis and Abella, Scott R. and Ad{\´a}mek, Martin and Alencar, Janderson Batista Rodrigues and Barber, Nicholas A. and Beudert, Burkhard and Burkle, Laura A. and Cagnolo, Luciano and Campos, Brent R. and Chao, Anne and Chergui, Brahim and Choi, Chang-Yong and Cleary, Daniel F. R. and Davis, Thomas Seth and Dechnik-V{\´a}zquez, Yanus A. and Downing, William M. and Fuentes-Ramirez, Andr{\´e}s and Gandhi, Kamal J. K. and Gehring, Catherine and Georgiev, Kostadin B. and Gimbutas, Mark and Gongalsky, Konstantin B. and Gorbunova, Anastasiya Y. and Greenberg, Cathryn H. and Hylander, Kristoffer and Jules, Erik S. and Korobushkin, Daniil I. and K{\"o}ster, Kajar and Kurth, Valerie and Lanham, Joseph Drew and Lazarina, Maria and Leverkus, Alexandro B. and Lindenmayer, David and Marra, Daniel Magnabosco and Mart{\´i}n-Pinto, Pablo and Meave, Jorge A. and Moretti, Marco and Nam, Hyun-Young and Obrist, Martin K. and Petanidou, Theodora and Pons, Pere and Potts, Simon G. and Rapoport, Irina B. and Rhoades, Paul R. and Richter, Clark and Saifutdinov, Ruslan A. and Sanders, Nathan J. and Santos, Xavier and Steel, Zachary and Tavella, Julia and Wendenburg, Clara and Wermelinger, Beat and Zaitsev, Andrey S. and Thorn, Simon}, title = {The effect of natural disturbances on forest biodiversity: an ecological synthesis}, series = {Biological Reviews}, volume = {97}, journal = {Biological Reviews}, number = {5}, doi = {10.1111/brv.12876}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-287168}, pages = {1930 -- 1947}, year = {2022}, abstract = {Disturbances alter biodiversity via their specific characteristics, including severity and extent in the landscape, which act at different temporal and spatial scales. Biodiversity response to disturbance also depends on the community characteristics and habitat requirements of species. Untangling the mechanistic interplay of these factors has guided disturbance ecology for decades, generating mixed scientific evidence of biodiversity responses to disturbance. Understanding the impact of natural disturbances on biodiversity is increasingly important due to human-induced changes in natural disturbance regimes. In many areas, major natural forest disturbances, such as wildfires, windstorms, and insect outbreaks, are becoming more frequent, intense, severe, and widespread due to climate change and land-use change. Conversely, the suppression of natural disturbances threatens disturbance-dependent biota. Using a meta-analytic approach, we analysed a global data set (with most sampling concentrated in temperate and boreal secondary forests) of species assemblages of 26 taxonomic groups, including plants, animals, and fungi collected from forests affected by wildfires, windstorms, and insect outbreaks. The overall effect of natural disturbances on α-diversity did not differ significantly from zero, but some taxonomic groups responded positively to disturbance, while others tended to respond negatively. Disturbance was beneficial for taxonomic groups preferring conditions associated with open canopies (e.g. hymenopterans and hoverflies), whereas ground-dwelling groups and/or groups typically associated with shady conditions (e.g. epigeic lichens and mycorrhizal fungi) were more likely to be negatively impacted by disturbance. Across all taxonomic groups, the highest α-diversity in disturbed forest patches occurred under moderate disturbance severity, i.e. with approximately 55\% of trees killed by disturbance. We further extended our meta-analysis by applying a unified diversity concept based on Hill numbers to estimate α-diversity changes in different taxonomic groups across a gradient of disturbance severity measured at the stand scale and incorporating other disturbance features. We found that disturbance severity negatively affected diversity for Hill number q = 0 but not for q = 1 and q = 2, indicating that diversity-disturbance relationships are shaped by species relative abundances. Our synthesis of α-diversity was extended by a synthesis of disturbance-induced change in species assemblages, and revealed that disturbance changes the β-diversity of multiple taxonomic groups, including some groups that were not affected at the α-diversity level (birds and woody plants). Finally, we used mixed rarefaction/extrapolation to estimate biodiversity change as a function of the proportion of forests that were disturbed, i.e. the disturbance extent measured at the landscape scale. The comparison of intact and naturally disturbed forests revealed that both types of forests provide habitat for unique species assemblages, whereas species diversity in the mixture of disturbed and undisturbed forests peaked at intermediate values of disturbance extent in the simulated landscape. Hence, the relationship between α-diversity and disturbance severity in disturbed forest stands was strikingly similar to the relationship between species richness and disturbance extent in a landscape consisting of both disturbed and undisturbed forest habitats. This result suggests that both moderate disturbance severity and moderate disturbance extent support the highest levels of biodiversity in contemporary forest landscapes.}, language = {en} }