Markus Nussbaumer
Max Planck Society
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Featured researches published by Markus Nussbaumer.
Neuroscience & Biobehavioral Reviews | 2007
Rainer Landgraf; Melanie S. Kessler; Mirjam Bunck; Chris Murgatroyd; Dietmar Spengler; Marina Zimbelmann; Markus Nussbaumer; Ludwig Czibere; Christoph W. Turck; Nicolas Singewald; Dan Rujescu; Elisabeth Frank
Two animal models of trait anxiety, HAB/LAB rats and mice, are described, representing inborn extremes in anxiety-related behavior. The comprehensive phenotypical characterization included basal behavioral features, stress-coping strategies and neuroendocrine responses upon stressor exposure with HAB animals being hyper-anxious, preferring passive coping, emitting more stressor-induced ultrasonic vocalization calls and showing typical peculiarities of the hypothalamic-pituitary-adrenocortical axis and line-specific patterns of Fos expression in the brain indicative of differential neuronal activation. In most cases, unselected Wistar rats and CD1 mice, respectively, displayed intermediate behaviors. In both HAB/LAB rats and mice, the behavioral phenotype has been found to be significantly correlated with the expression of the neuropeptide arginine vasopressin (AVP) at the level of the hypothalamic paraventricular nucleus (PVN). Additional receptor antagonist approaches in HABs confirmed that intra-PVN release of AVP is likely to contribute to hyper-anxiety and depression-like behavior. As shown exemplarily in HAB rats and LAB mice, single nucleotide polymorphisms (SNPs) in regulatory structures of the AVP gene underlie AVP-mediated phenotypic phenomena; in HAB rats, a SNP in the promoter of the AVP gene leads to reduced binding of the transcriptional repressor CBF-A, thus causing AVP overexpression and overrelease. Conversely, in LAB mice, a SNP in the AVP gene seems to cause an amino acid exchange in the signal peptide, presumably leading to a deficit in bioavailable AVP likely to underlie the total hypo-anxiety of LAB mice in combination with signs of central diabetes insipidus. Another feature of LAB mice is overexpression of glyoxalase-I. The functional characterization of this enzyme will determine its involvement in anxiety-related behavior beyond that of a reliable biomarker. The further identification of quantitative trait loci, candidate genes (and their products) and SNPs will not only help to explain inter-individual variation in emotional behavior, but will also reveal novel targets for anxiolytic and antidepressive interventions.
Biological Psychiatry | 2011
Michaela D. Filiou; Yaoyang Zhang; Larysa Teplytska; Stefan Reckow; Philipp Gormanns; Giuseppina Maccarrone; Elisabeth Frank; Melanie S. Kessler; Boris Hambsch; Markus Nussbaumer; Mirjam Bunck; Tonia Ludwig; Alexander Yassouridis; Florian Holsboer; Rainer Landgraf; Christoph W. Turck
BACKGROUND Although anxiety disorders are the most prevalent psychiatric disorders, no molecular biomarkers exist for their premorbid diagnosis, accurate patient subcategorization, or treatment efficacy prediction. To unravel the neurobiological underpinnings and identify candidate biomarkers and affected pathways for anxiety disorders, we interrogated the mouse model of high anxiety-related behavior (HAB), normal anxiety-related behavior (NAB), and low anxiety-related behavior (LAB) employing a quantitative proteomics and metabolomics discovery approach. METHODS We compared the cingulate cortex synaptosome proteomes of HAB and LAB mice by in vivo (15)N metabolic labeling and mass spectrometry and quantified the cingulate cortex metabolomes of HAB/NAB/LAB mice. The combined data sets were used to identify divergent protein and metabolite networks by in silico pathway analysis. Selected differentially expressed proteins and affected pathways were validated with immunochemical and enzymatic assays. RESULTS Altered levels of up to 300 proteins and metabolites were found between HAB and LAB mice. Our data reveal alterations in energy metabolism, mitochondrial import and transport, oxidative stress, and neurotransmission, implicating a previously nonhighlighted role of mitochondria in modulating anxiety-related behavior. CONCLUSIONS Our results offer insights toward a molecular network of anxiety pathophysiology with a focus on mitochondrial contribution and provide the basis for pinpointing affected pathways in anxiety-related behavior.
Journal of Psychiatric Research | 2014
Michaela D. Filiou; John M. Asara; Markus Nussbaumer; Larysa Teplytska; Rainer Landgraf; Christoph W. Turck
No comprehensive metabolic profile of trait anxiety is to date available. To identify metabolic biosignatures for different anxiety states, we compared mice selectively inbred for ∼ 40 generations for high (HAB), normal (NAB) or low (LAB) anxiety-related behavior. Using a mass spectrometry-based targeted metabolomics approach, we quantified the levels of 257 unique metabolites in the cingulate cortex and plasma of HAB, NAB and LAB mice. We then pinpointed affected molecular systems in anxiety-related behavior by an in silico pathway and network prediction analysis followed by validation of in silico predicted alterations with molecular assays. We found distinct metabolic profiles for different trait anxiety states and detected metabolites with altered levels both in cingulate cortex and plasma. Metabolomics data revealed common candidate biomarkers in cingulate cortex and plasma for anxiety traits and in silico pathway analysis implicated amino acid metabolism, pyruvate metabolism, oxidative stress and apoptosis in the regulation of anxiety-related behavior. We report characteristic biosignatures for trait anxiety states and provide a network map of pathways involved in anxiety-related behavior. Pharmacological targeting of these pathways will enable a mechanism-based approach for identifying novel therapeutic targets for anxiety disorders.
Neuropsychopharmacology | 2016
Markus Nussbaumer; John M. Asara; Larysa Teplytska; Michael P. Murphy; Angela Logan; Christoph W. Turck; Michaela D. Filiou
Current treatment strategies for anxiety disorders are predominantly symptom-based. However, a third of anxiety patients remain unresponsive to anxiolytics highlighting the need for more effective, mechanism-based therapeutic approaches. We have previously compared high vs low anxiety mice and identified changes in mitochondrial pathways, including oxidative phosphorylation and oxidative stress. In this work, we show that selective pharmacological targeting of these mitochondrial pathways exerts anxiolytic effects in vivo. We treated high anxiety-related behavior (HAB) mice with MitoQ, an antioxidant that selectively targets mitochondria. MitoQ administration resulted in decreased anxiety-related behavior in HAB mice. This anxiolytic effect was specific for high anxiety as MitoQ treatment did not affect the anxiety phenotype of C57BL/6N and DBA/2J mouse strains. We furthermore investigated the molecular underpinnings of the MitoQ-driven anxiolytic effect and found that MitoQ treatment alters the brain metabolome and that the response to MitoQ treatment is characterized by distinct molecular signatures. These results indicate that a mechanism-driven approach based on selective mitochondrial targeting has the potential to attenuate the high anxiety phenotype in vivo, thus paving the way for translational implementation as long-term MitoQ administration is well-tolerated with no reported side effects in mice and humans.
Proteomics Clinical Applications | 2016
Christoph W. Turck; Christian Webhofer; Markus Nussbaumer; Larysa Teplytska; Alon Chen; Giuseppina Maccarrone; Michaela D. Filiou
In this work, we discuss how in vivo 15N metabolic labeling in combination with MS simultaneously provides information on protein expression and protein turnover.
bioRxiv | 2018
Oren Forkosh; Stoyo Karamihalev; Simone Roeh; Mareen Engel; Uri Alon; Sergey Anpilov; Markus Nussbaumer; Cornelia Flachskamm; Paul M. Kaplick; Yair Shemesh; Alon Chen
Personality traits offer considerable insight into the biological basis of individual differences. However, existing approaches toward understanding personality across species rely on subjective criteria and limited sets of behavioral readouts, resulting in noisy and often inconsistent outcomes. Here, we introduce a mathematical framework for studying individual differences along dimensions with maximum consistency and discriminative power. We validate this framework in mice, using data from a system for high-throughput longitudinal monitoring of group-housed mice that yields a variety of readouts from all across an individual’s behavioral repertoire. We describe a set of stable traits that capture variability in behavior and gene expression in the brain, allowing for better informed mechanistic investigations into the biology of individual differences.
Pharmacopsychiatry | 2015
Markus Nussbaumer; John M. Asara; Larysa Teplytska; M P Murphy; Rainer Landgraf; Christoph W. Turck; Michaela D. Filiou
Current treatment strategies for anxiety disorders are predominantly symptom-based. A third of anxiety patients remain unresponsive to anxiolytics highlighting the need for more effective, mechanism-based therapeutic approaches. We have previously compared high vs. low anxiety mice and identified changes in mitochondrial pathways, including oxidative phosphorylation and oxidative stress [1,2]. Here, we show that selective pharmacological targeting of these mitochondrial pathways exerts anxiolytic effects in vivo. High anxiety mice were treated with MitoQ, an antioxidant that selectively targets mitochondria [3]. MitoQ administration resulted in decreased anxiety-related behavior. We then investigated the molecular underpinnings of the MitoQ-driven anxiolytic effect and found alterations in brain and plasma of MitoQ-treated vs. untreated mice and of MitoQ responders vs. non-responders. Our findings indicate that a mechanism-driven approach based on selective mitochondrial targeting attenuates the high anxiety phenotype in vivo and pave the way for future translational implementation as long-term MitoQ administration is well-tolerated with no side-effects in mice and humans. This study was supported by DFG
Psychoneuroendocrinology | 2008
Chadi Touma; Mirjam Bunck; Lisa Glasl; Markus Nussbaumer; Rupert Palme; Hendrik Stein; Michael Wolferstätter; Ramona Zeh; Marina Zimbelmann; Florian Holsboer; Rainer Landgraf
Pharmacopsychiatry | 2017
Markus Nussbaumer; John M. Asara; Larysa Teplytska; M P Murphy; Alon Chen; Christoph W. Turck; Michaela D. Filiou
Archive | 2013
Michaela D. Filiou; Christian Webhofer; Markus Nussbaumer; Rainer Landgraf; Giuseppina Maccarrone; Christoph W. Turck