1
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Giusti SA, Pino NS, Pannunzio C, Ogando MB, Armando NG, Garrett L, Zimprich A, Becker L, Gimeno ML, Lukin J, Merino FL, Pardi MB, Pedroncini O, Di Mauro GC, Durner VG, Fuchs H, de Angelis MH, Patop IL, Turck CW, Deussing JM, Vogt Weisenhorn DM, Jahn O, Kadener S, Hölter SM, Brose N, Giesert F, Wurst W, Marin-Burgin A, Refojo D. A brain-enriched circular RNA controls excitatory neurotransmission and restricts sensitivity to aversive stimuli. Sci Adv 2024; 10:eadj8769. [PMID: 38787942 DOI: 10.1126/sciadv.adj8769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 04/22/2024] [Indexed: 05/26/2024]
Abstract
Circular RNAs (circRNAs) are a large class of noncoding RNAs. Despite the identification of thousands of circular transcripts, the biological significance of most of them remains unexplored, partly because of the lack of effective methods for generating loss-of-function animal models. In this study, we focused on circTulp4, an abundant circRNA derived from the Tulp4 gene that is enriched in the brain and synaptic compartments. By creating a circTulp4-deficient mouse model, in which we mutated the splice acceptor site responsible for generating circTulp4 without affecting the linear mRNA or protein levels, we were able to conduct a comprehensive phenotypic analysis. Our results demonstrate that circTulp4 is critical in regulating neuronal and brain physiology, modulating the strength of excitatory neurotransmission and sensitivity to aversive stimuli. This study provides evidence that circRNAs can regulate biologically relevant functions in neurons, with modulatory effects at multiple levels of the phenotype, establishing a proof of principle for the regulatory role of circRNAs in neural processes.
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Affiliation(s)
- Sebastian A Giusti
- Instituto de Investigación en Biomedicina de Buenos Aires (IBioBA)-CONICET-Partner Institute of the Max Planck Society, Buenos Aires, Argentina
- Molecular Neurobiology, Max Planck Institute of Psychiatry, Munich, Germany
| | - Natalia S Pino
- Institute of Developmental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
| | - Camila Pannunzio
- Instituto de Investigación en Biomedicina de Buenos Aires (IBioBA)-CONICET-Partner Institute of the Max Planck Society, Buenos Aires, Argentina
| | - Mora B Ogando
- Instituto de Investigación en Biomedicina de Buenos Aires (IBioBA)-CONICET-Partner Institute of the Max Planck Society, Buenos Aires, Argentina
| | - Natalia G Armando
- Instituto de Investigación en Biomedicina de Buenos Aires (IBioBA)-CONICET-Partner Institute of the Max Planck Society, Buenos Aires, Argentina
| | - Lillian Garrett
- German Mouse Clinic, Helmholtz Zentrum München, Munich, Germany
| | - Annemarie Zimprich
- Institute of Developmental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
- German Mouse Clinic, Helmholtz Zentrum München, Munich, Germany
- Chair of Developmental Genetics, Munich School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany
| | - Lore Becker
- German Mouse Clinic, Helmholtz Zentrum München, Munich, Germany
| | - Maria L Gimeno
- Instituto de Investigación en Biomedicina de Buenos Aires (IBioBA)-CONICET-Partner Institute of the Max Planck Society, Buenos Aires, Argentina
| | - Jeronimo Lukin
- Instituto de Investigación en Biomedicina de Buenos Aires (IBioBA)-CONICET-Partner Institute of the Max Planck Society, Buenos Aires, Argentina
| | - Florencia L Merino
- Instituto de Investigación en Biomedicina de Buenos Aires (IBioBA)-CONICET-Partner Institute of the Max Planck Society, Buenos Aires, Argentina
| | - M Belen Pardi
- Instituto de Investigación en Biomedicina de Buenos Aires (IBioBA)-CONICET-Partner Institute of the Max Planck Society, Buenos Aires, Argentina
| | - Olivia Pedroncini
- Instituto de Investigación en Biomedicina de Buenos Aires (IBioBA)-CONICET-Partner Institute of the Max Planck Society, Buenos Aires, Argentina
| | - Giuliana C Di Mauro
- Instituto de Investigación en Biomedicina de Buenos Aires (IBioBA)-CONICET-Partner Institute of the Max Planck Society, Buenos Aires, Argentina
| | | | - Helmut Fuchs
- German Mouse Clinic, Helmholtz Zentrum München, Munich, Germany
| | - Martin Hrabe de Angelis
- German Mouse Clinic, Helmholtz Zentrum München, Munich, Germany
- Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
| | | | - Christoph W Turck
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Jan M Deussing
- Molecular Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany
| | - Daniela M Vogt Weisenhorn
- Institute of Developmental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
- Chair of Developmental Genetics, Munich School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany
| | - Olaf Jahn
- Department of Molecular Neurobiology, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Georg-August-University, Göttingen, Germany
| | | | - Sabine M Hölter
- Institute of Developmental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
| | - Nils Brose
- Department of Molecular Neurobiology, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany
| | - Florian Giesert
- Institute of Developmental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
| | - Wolfgang Wurst
- Institute of Developmental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
- Chair of Developmental Genetics, Munich School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany
- Munich Cluster of Systems Neurology (SyNergy), Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE) Site Munich, Munich, Germany
| | - Antonia Marin-Burgin
- Instituto de Investigación en Biomedicina de Buenos Aires (IBioBA)-CONICET-Partner Institute of the Max Planck Society, Buenos Aires, Argentina
| | - Damian Refojo
- Instituto de Investigación en Biomedicina de Buenos Aires (IBioBA)-CONICET-Partner Institute of the Max Planck Society, Buenos Aires, Argentina
- Molecular Neurobiology, Max Planck Institute of Psychiatry, Munich, Germany
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2
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Stepan J, Heinz DE, Dethloff F, Wiechmann S, Martinelli S, Hafner K, Ebert T, Junglas E, Häusl AS, Pöhlmann ML, Jakovcevski M, Pape JC, Zannas AS, Bajaj T, Hermann A, Ma X, Pavenstädt H, Schmidt MV, Philipsen A, Turck CW, Deussing JM, Rammes G, Robinson AC, Payton A, Wehr MC, Stein V, Murgatroyd C, Kremerskothen J, Kuster B, Wotjak CT, Gassen NC. Inhibiting Hippo pathway kinases releases WWC1 to promote AMPAR-dependent synaptic plasticity and long-term memory in mice. Sci Signal 2024; 17:eadj6603. [PMID: 38687825 DOI: 10.1126/scisignal.adj6603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 04/11/2024] [Indexed: 05/02/2024]
Abstract
The localization, number, and function of postsynaptic AMPA-type glutamate receptors (AMPARs) are crucial for synaptic plasticity, a cellular correlate for learning and memory. The Hippo pathway member WWC1 is an important component of AMPAR-containing protein complexes. However, the availability of WWC1 is constrained by its interaction with the Hippo pathway kinases LATS1 and LATS2 (LATS1/2). Here, we explored the biochemical regulation of this interaction and found that it is pharmacologically targetable in vivo. In primary hippocampal neurons, phosphorylation of LATS1/2 by the upstream kinases MST1 and MST2 (MST1/2) enhanced the interaction between WWC1 and LATS1/2, which sequestered WWC1. Pharmacologically inhibiting MST1/2 in male mice and in human brain-derived organoids promoted the dissociation of WWC1 from LATS1/2, leading to an increase in WWC1 in AMPAR-containing complexes. MST1/2 inhibition enhanced synaptic transmission in mouse hippocampal brain slices and improved cognition in healthy male mice and in male mouse models of Alzheimer's disease and aging. Thus, compounds that disrupt the interaction between WWC1 and LATS1/2 might be explored for development as cognitive enhancers.
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Affiliation(s)
- Jens Stepan
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, 80804 Munich, Germany
- Research Group Neurohomeostasis, Department of Psychiatry and Psychotherapy, University Hospital Bonn, 53127 Bonn, Germany
- Department of Obstetrics and Gynecology, Paracelsus Medical University, 5020 Salzburg, Austria
- Department of Gynecology and Obstetrics, Technical University of Munich, 81675 Munich, Germany
| | - Daniel E Heinz
- Research Group Neurohomeostasis, Department of Psychiatry and Psychotherapy, University Hospital Bonn, 53127 Bonn, Germany
- Research Group Neuronal Plasticity, Max Planck Institute of Psychiatry, 80804 Munich, Germany
- Max Planck School of Cognition, 04103 Leipzig, Germany
| | - Frederik Dethloff
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, 80804 Munich, Germany
- Metabolomics Core Facility, Max Planck Institute for Biology of Ageing, 50931 Cologne, Germany
| | - Svenja Wiechmann
- Chair of Proteomics and Bioanalytics, Technical University of Munich, 85354 Freising, Germany
- German Cancer Consortium (DKTK), 80336 Munich, Germany
- German Cancer Center (DKFZ), 69120 Heidelberg, Germany
| | - Silvia Martinelli
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, 80804 Munich, Germany
| | - Kathrin Hafner
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, 80804 Munich, Germany
| | - Tim Ebert
- Research Group Neurohomeostasis, Department of Psychiatry and Psychotherapy, University Hospital Bonn, 53127 Bonn, Germany
- Research Group Neuronal Plasticity, Max Planck Institute of Psychiatry, 80804 Munich, Germany
| | - Ellen Junglas
- Research Group Neurohomeostasis, Department of Psychiatry and Psychotherapy, University Hospital Bonn, 53127 Bonn, Germany
| | - Alexander S Häusl
- Research Group Neurobiology of Stress Resilience, Max Planck Institute of Psychiatry, 80804 Munich, Germany
| | - Max L Pöhlmann
- Research Group Neurobiology of Stress Resilience, Max Planck Institute of Psychiatry, 80804 Munich, Germany
| | - Mira Jakovcevski
- Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, 80804 Munich, Germany
| | - Julius C Pape
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, 80804 Munich, Germany
| | - Anthony S Zannas
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, 80804 Munich, Germany
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - Thomas Bajaj
- Research Group Neurohomeostasis, Department of Psychiatry and Psychotherapy, University Hospital Bonn, 53127 Bonn, Germany
| | - Anke Hermann
- Department of Medicine D, Division of General Internal Medicine, Nephrology, and Rheumatology, University Hospital Münster, 48149 Münster, Germany
| | - Xiao Ma
- Research Group Cell Signalling, Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, 80336 Munich, Germany
| | - Hermann Pavenstädt
- Department of Medicine D, Division of General Internal Medicine, Nephrology, and Rheumatology, University Hospital Münster, 48149 Münster, Germany
| | - Mathias V Schmidt
- Research Group Neurobiology of Stress Resilience, Max Planck Institute of Psychiatry, 80804 Munich, Germany
| | - Alexandra Philipsen
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, 53127 Bonn, Germany
| | - Christoph W Turck
- Proteomics and Biomarkers, Max Planck Institute of Psychiatry, 80804 Munich, Germany
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223 Yunnan, China
| | - Jan M Deussing
- Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, 80804 Munich, Germany
- Research Group Molecular Neurogenetics, Max Planck Institute of Psychiatry, 80804 Munich, Germany
| | - Gerhard Rammes
- Department of Anaesthesiology and Intensive Care Medicine, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany
| | - Andrew C Robinson
- Division of Neuroscience, Faculty of Biology, Medicine and Health, School of Biological Sciences, University of Manchester, Salford Royal Hospital, Salford M6 8HD, UK
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre (MAHSC), Salford M6 8HD, UK
| | - Antony Payton
- Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester M13 9NT, UK
| | - Michael C Wehr
- Research Group Cell Signalling, Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, 80336 Munich, Germany
| | - Valentin Stein
- Institute of Physiology II, Medical Faculty University of Bonn, 53115 Bonn, Germany
| | | | - Joachim Kremerskothen
- Department of Medicine D, Division of General Internal Medicine, Nephrology, and Rheumatology, University Hospital Münster, 48149 Münster, Germany
| | - Bernhard Kuster
- Chair of Proteomics and Bioanalytics, Technical University of Munich, 85354 Freising, Germany
- German Cancer Consortium (DKTK), 80336 Munich, Germany
- German Cancer Center (DKFZ), 69120 Heidelberg, Germany
- Bavarian Center for Biomolecular Mass Spectrometry, Technical University of Munich, 85354 Freising, Germany
| | - Carsten T Wotjak
- Research Group Neuronal Plasticity, Max Planck Institute of Psychiatry, 80804 Munich, Germany
- Central Nervous System Diseases Research, Boehringer Ingelheim Pharmaceuticals GmbH & Co. KG, 88397 Biberach an der Riß, Germany
| | - Nils C Gassen
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, 80804 Munich, Germany
- Research Group Neurohomeostasis, Department of Psychiatry and Psychotherapy, University Hospital Bonn, 53127 Bonn, Germany
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3
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Liu X, Novak B, Namendorf C, Steigenberger B, Zhang Y, Turck CW. Long-lived proteins and DNA as candidate predictive biomarkers for tissue associated diseases. iScience 2024; 27:109642. [PMID: 38632996 PMCID: PMC11022098 DOI: 10.1016/j.isci.2024.109642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 01/11/2024] [Accepted: 03/26/2024] [Indexed: 04/19/2024] Open
Abstract
Protein turnover is an important mechanism to maintain proteostasis. Long-lived proteins (LLPs) are vulnerable to lose their function due to time-accumulated damages. In this study we employed in vivo stable isotope labeling in mice from birth to postnatal day 89. Quantitative proteomics analysis of ten tissues and plasma identified 2113 LLPs, including widespread and tissue-specific ones. Interestingly, a significant percentage of LLPs was detected in plasma, implying a potential link to age-related cardiovascular diseases. LLPs identified in brains were related to neurodegenerative diseases. In addition, the relative quantification of DNA-derived deoxynucleosides from the same tissues provided information about cellular DNA renewal and showed good correlation with LLPs in the brain. The combined data reveal tissue-specific maps of mouse LLPs that may be involved in pathology due to a low renewal rate and an increased risk of damage. Tissue-derived peripheral LLPs hold promise as biomarkers for aging and age-related diseases.
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Affiliation(s)
- Xiaosong Liu
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, 100 Haike Road, Shanghai 201210, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Bozidar Novak
- Max Planck Institute of Psychiatry, Proteomics and Biomarkers, Kraepelinstr. 2-10, 80804 Munich, Germany
| | - Christian Namendorf
- Max Planck Institute of Psychiatry, Clinical Laboratory, Core Unit Analytics and Mass Spectrometry, Kraepelinstr. 2-10, 80804 Munich, Germany
| | - Barbara Steigenberger
- Mass Spectrometry Core Facility, Max Planck Institute of Biochemistry, D-82152 Martinsried/Munich, Germany
| | - Yaoyang Zhang
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, 100 Haike Road, Shanghai 201210, China
| | - Christoph W. Turck
- Max Planck Institute of Psychiatry, Proteomics and Biomarkers, Kraepelinstr. 2-10, 80804 Munich, Germany
- Key Laboratory of Animal Models and Human Disease Mechanisms of Yunnan Province, and KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- National Resource Center for Non-human Primates, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650107, China
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4
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Filipović D, Novak B, Xiao J, Tadić P, Turck CW. Prefrontal cortical synaptoproteome profile combined with machine learning predicts resilience towards chronic social isolation in rats. J Psychiatr Res 2024; 172:221-228. [PMID: 38412784 DOI: 10.1016/j.jpsychires.2024.02.042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 01/25/2024] [Accepted: 02/20/2024] [Indexed: 02/29/2024]
Abstract
Chronic social isolation (CSIS) of rats serves as an animal model of depression and generates CSIS-resilient and CSIS-susceptible phenotypes. We aimed to investigate the prefrontal cortical synaptoproteome profile of CSIS-resilient, CSIS-susceptible, and control rats to delineate biochemical pathways and predictive biomarker proteins characteristic for the resilient phenotype. A sucrose preference test was performed to distinguish rat phenotypes. Class separation and machine learning (ML) algorithms support vector machine with greedy forward search and random forest were then used for discriminating CSIS-resilient from CSIS-susceptible and control rats. CSIS-resilient compared to CSIS-susceptible rat proteome analysis revealed, among other proteins, downregulated glycolysis intermediate fructose-bisphosphate aldolase C (Aldoc), and upregulated clathrin heavy chain 1 (Cltc), calcium/calmodulin-dependent protein kinase type II (Cam2a), synaptophysin (Syp) and fatty acid synthase (Fasn) that are involved in neuronal transmission, synaptic vesicular trafficking, and fatty acid synthesis. Comparison of CSIS-resilient and control rats identified downregulated mitochondrial proteins ATP synthase subunit beta (Atp5f1b) and citrate synthase (Cs), and upregulated protein kinase C gamma type (Prkcg), vesicular glutamate transporter 1 (Slc17a7), and synaptic vesicle glycoprotein 2 A (Sv2a) involved in signal transduction and synaptic trafficking. The combined protein differences make the rat groups linearly separable, and 100% validation accuracy is achieved by standard ML models. ML algorithms resulted in four panels of discriminative proteins. Proteomics-data-driven class separation and ML algorithms can provide a platform for accessing predictive features and insight into the molecular mechanisms underlying synaptic neurotransmission involved in stress resilience.
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Affiliation(s)
- Dragana Filipović
- Department of Molecular Biology and Endocrinology, "VINČA", Institute of Nuclear Sciences - National Institute of thе Republic of Serbia, University of Belgrade, Belgrade, Serbia.
| | - Božidar Novak
- Proteomics and Biomarkers, Max Planck Institute of Psychiatry, Munich, Germany.
| | - Jinqiu Xiao
- Proteomics and Biomarkers, Max Planck Institute of Psychiatry, Munich, Germany.
| | - Predrag Tadić
- School of Electrical Engineering, University of Belgrade, Belgrade, Serbia.
| | - Christoph W Turck
- Proteomics and Biomarkers, Max Planck Institute of Psychiatry, Munich, Germany; Key Laboratory of Animal Models and Human Disease Mechanisms of Yunnan Province, and KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China; National Resource Center for Non-human Primates, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650107, China.
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5
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Mohanty I, Mannochio-Russo H, Schweer JV, El Abiead Y, Bittremieux W, Xing S, Schmid R, Zuffa S, Vasquez F, Muti VB, Zemlin J, Tovar-Herrera OE, Moraïs S, Desai D, Amin S, Koo I, Turck CW, Mizrahi I, Kris-Etherton PM, Petersen KS, Fleming JA, Huan T, Patterson AD, Siegel D, Hagey LR, Wang M, Aron AT, Dorrestein PC. The underappreciated diversity of bile acid modifications. Cell 2024; 187:1801-1818.e20. [PMID: 38471500 DOI: 10.1016/j.cell.2024.02.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 11/30/2023] [Accepted: 02/15/2024] [Indexed: 03/14/2024]
Abstract
The repertoire of modifications to bile acids and related steroidal lipids by host and microbial metabolism remains incompletely characterized. To address this knowledge gap, we created a reusable resource of tandem mass spectrometry (MS/MS) spectra by filtering 1.2 billion publicly available MS/MS spectra for bile-acid-selective ion patterns. Thousands of modifications are distributed throughout animal and human bodies as well as microbial cultures. We employed this MS/MS library to identify polyamine bile amidates, prevalent in carnivores. They are present in humans, and their levels alter with a diet change from a Mediterranean to a typical American diet. This work highlights the existence of many more bile acid modifications than previously recognized and the value of leveraging public large-scale untargeted metabolomics data to discover metabolites. The availability of a modification-centric bile acid MS/MS library will inform future studies investigating bile acid roles in health and disease.
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Affiliation(s)
- Ipsita Mohanty
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA
| | - Helena Mannochio-Russo
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA
| | - Joshua V Schweer
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA; Department of Chemistry and Biochemistry, University of California, San Diego, San Diego, CA, USA
| | - Yasin El Abiead
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA
| | - Wout Bittremieux
- Department of Computer Science, University of Antwerp, 2020 Antwerpen, Belgium
| | - Shipei Xing
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA; Department of Chemistry, Faculty of Science, University of British Columbia, Vancouver Campus, Vancouver, BC, Canada
| | - Robin Schmid
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA; Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Simone Zuffa
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA
| | - Felipe Vasquez
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA
| | - Valentina B Muti
- Department of Computer Science and Engineering, University of California, Riverside, Riverside, CA, USA; Department of Chemistry and Biochemistry, University of Denver, Denver, CO 80210, USA
| | - Jasmine Zemlin
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA; Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA 92093, USA
| | - Omar E Tovar-Herrera
- Department of Life Sciences, Ben-Gurion University of the Negev, Be'er Sheva, Israel; Goldman Sonnenfeldt School of Sustainability and Climate Change, Ben-Gurion University of the Negev, Be'er Sheva 84105, Israel
| | - Sarah Moraïs
- Department of Life Sciences, Ben-Gurion University of the Negev, Be'er Sheva, Israel; Goldman Sonnenfeldt School of Sustainability and Climate Change, Ben-Gurion University of the Negev, Be'er Sheva 84105, Israel
| | - Dhimant Desai
- Department of Pharmacology, Penn State University College of Medicine, Hershey, PA, USA
| | - Shantu Amin
- Department of Pharmacology, Penn State University College of Medicine, Hershey, PA, USA
| | - Imhoi Koo
- Center for Molecular Toxicology and Carcinogenesis, Department of Veterinary and Biomedical Sciences, Pennsylvania State University, University Park, PA, USA
| | - Christoph W Turck
- Max Planck Institute of Psychiatry, Proteomics and Biomarkers, Kraepelinstrasse 2-10, Munich 80804, Germany; Key Laboratory of Animal Models and Human Disease Mechanisms of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650201, China
| | - Itzhak Mizrahi
- Department of Life Sciences, Ben-Gurion University of the Negev, Be'er Sheva, Israel; Goldman Sonnenfeldt School of Sustainability and Climate Change, Ben-Gurion University of the Negev, Be'er Sheva 84105, Israel
| | - Penny M Kris-Etherton
- Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA, USA
| | - Kristina S Petersen
- Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA, USA
| | - Jennifer A Fleming
- Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA, USA
| | - Tao Huan
- Department of Chemistry, Faculty of Science, University of British Columbia, Vancouver Campus, Vancouver, BC, Canada
| | - Andrew D Patterson
- Center for Molecular Toxicology and Carcinogenesis, Department of Veterinary and Biomedical Sciences, Pennsylvania State University, University Park, PA, USA
| | - Dionicio Siegel
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA
| | - Lee R Hagey
- Department of Medicine, University of California, San Diego, San Diego, CA, USA
| | - Mingxun Wang
- Department of Computer Science and Engineering, University of California, Riverside, Riverside, CA, USA
| | - Allegra T Aron
- Department of Chemistry and Biochemistry, University of Denver, Denver, CO 80210, USA
| | - Pieter C Dorrestein
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA; Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA; Department of Pharmacology, University of California, San Diego, La Jolla, CA 92093, USA; Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA 92093, USA.
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6
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Filipović D, Novak B, Xiao J, Tadić P, Turck CW. Prefrontal Cortex Cytosolic Proteome and Machine Learning-Based Predictors of Resilience toward Chronic Social Isolation in Rats. Int J Mol Sci 2024; 25:3026. [PMID: 38474271 DOI: 10.3390/ijms25053026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 02/15/2024] [Accepted: 02/28/2024] [Indexed: 03/14/2024] Open
Abstract
Chronic social isolation (CSIS) generates two stress-related phenotypes: resilience and susceptibility. However, the molecular mechanisms underlying CSIS resilience remain unclear. We identified altered proteome components and biochemical pathways and processes in the prefrontal cortex cytosolic fraction in CSIS-resilient rats compared to CSIS-susceptible and control rats using liquid chromatography coupled with tandem mass spectrometry followed by label-free quantification and STRING bioinformatics. A sucrose preference test was performed to distinguish rat phenotypes. Potential predictive proteins discriminating between the CSIS-resilient and CSIS-susceptible groups were identified using machine learning (ML) algorithms: support vector machine-based sequential feature selection and random forest-based feature importance scores. Predominantly, decreased levels of some glycolytic enzymes, G protein-coupled receptor proteins, the Ras subfamily of GTPases proteins, and antioxidant proteins were found in the CSIS-resilient vs. CSIS-susceptible groups. Altered levels of Gapdh, microtubular, cytoskeletal, and calcium-binding proteins were identified between the two phenotypes. Increased levels of proteins involved in GABA synthesis, the proteasome system, nitrogen metabolism, and chaperone-mediated protein folding were identified. Predictive proteins make CSIS-resilient vs. CSIS-susceptible groups linearly separable, whereby a 100% validation accuracy was achieved by ML models. The overall ratio of significantly up- and downregulated cytosolic proteins suggests adaptive cellular alterations as part of the stress-coping process specific for the CSIS-resilient phenotype.
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Affiliation(s)
- Dragana Filipović
- Department of Molecular Biology and Endocrinology, "VINČA" Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, 11000 Belgrade, Serbia
| | - Božidar Novak
- Proteomics and Biomarkers, Max Planck Institute for Psychiatry, 80804 Munich, Germany
| | - Jinqiu Xiao
- Max Planck Institute of Biochemistry, 82152 Martinsried, Germany
| | - Predrag Tadić
- School of Electrical Engineering, University of Belgrade, 11000 Belgrade, Serbia
| | - Christoph W Turck
- Proteomics and Biomarkers, Max Planck Institute for Psychiatry, 80804 Munich, Germany
- Key Laboratory of Animal Models and Human Disease Mechanisms of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
- National Resource Center for Non-Human Primates, National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650107, China
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7
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Chaby LE, Lasseter HC, Contrepois K, Salek RM, Turck CW, Thompson A, Vaughan T, Haas M, Jeromin A. Correction: Chaby et al. Cross-Platform Evaluation of Commercially Targeted and Untargeted Metabolomics Approaches to Optimize the Investigation of Psychiatric Disease. Metabolites 2021, 11, 609. Metabolites 2023; 13:933. [PMID: 37623909 PMCID: PMC10456293 DOI: 10.3390/metabo13080933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 07/19/2023] [Accepted: 07/19/2023] [Indexed: 08/26/2023] Open
Abstract
In the original publication [...].
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Affiliation(s)
- Lauren E. Chaby
- Cohen Veterans Bioscience, New York, NY 10018, USA; (L.E.C.); (H.C.L.); (A.T.); (T.V.); (M.H.)
| | - Heather C. Lasseter
- Cohen Veterans Bioscience, New York, NY 10018, USA; (L.E.C.); (H.C.L.); (A.T.); (T.V.); (M.H.)
| | - Kévin Contrepois
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA;
| | - Reza M. Salek
- International Agency for Research on Cancer, Nutrition and Metabolism Branch, World Health Organisation, 150 Cours Albert Thomas, CEDEX 08, 69372 Lyon, France;
| | - Christoph W. Turck
- Max Planck Institute of Psychiatry, Proteomics and Biomarkers, 80804 Munich, Germany;
| | - Andrew Thompson
- Cohen Veterans Bioscience, New York, NY 10018, USA; (L.E.C.); (H.C.L.); (A.T.); (T.V.); (M.H.)
| | - Timothy Vaughan
- Cohen Veterans Bioscience, New York, NY 10018, USA; (L.E.C.); (H.C.L.); (A.T.); (T.V.); (M.H.)
| | - Magali Haas
- Cohen Veterans Bioscience, New York, NY 10018, USA; (L.E.C.); (H.C.L.); (A.T.); (T.V.); (M.H.)
| | - Andreas Jeromin
- Cohen Veterans Bioscience, New York, NY 10018, USA; (L.E.C.); (H.C.L.); (A.T.); (T.V.); (M.H.)
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8
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Chi Y, Qi R, Zhou Y, Tong H, Jin H, Turck CW, Chen WH, Wang GZ. scBrainMap: a landscape for cell types and associated genetic markers in the brain. Database (Oxford) 2023; 2023:7169122. [PMID: 37195696 DOI: 10.1093/database/baad035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 03/07/2023] [Accepted: 04/26/2023] [Indexed: 05/18/2023]
Abstract
The great variety of brain cell types is a fundamental element for neuronal circuits. One major goal of modern neuroscience is to decipher the various types of cellular composition and characterize their properties. Due to the high heterogeneity of neuronal cells, until recently, it was not possible to group brain cell types at high resolution. Thanks to the single-cell transcriptome technology, a dedicated database of brain cell types across species has been established. Here, we developed scBrainMap, a database for brain cell types and associated genetic markers for several species. The current scBrainMap database contains 4881 cell types with 26 044 genetic markers identified from 6 577 222 single cells, which link to 14 species, 124 brain regions and 20 different disease states. scBrainMap enables users to perform customized, cross-linked, biologically relevant queries for different cell types of interest. This quantitative information facilitates exploratory research on the role of cell types with regard to brain function in health and disease. Database URL https://scbrainmap.sysneuro.net/.
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Affiliation(s)
- Yuhao Chi
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, No. 320 Yueyang Road, Shanghai 200031, China
| | - Ruicheng Qi
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, No. 320 Yueyang Road, Shanghai 200031, China
| | - Yue Zhou
- Department of Mathematics, Guangxi University, No. 100 East University Road, Nanning, Guangxi 530004, China
| | - Huige Tong
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, No. 320 Yueyang Road, Shanghai 200031, China
| | - Hanbo Jin
- Department of Bioinformatics and Systems Biology, Key Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular-Imaging, Center for Artificial Intelligence Biology, College of Life Science and Technology, Huazhong University of Science and Technology,No. 1037 Luoyu Road, Wuhan 430074,China
| | - Christoph W Turck
- Proteomics and Biomarkers, Max Planck Institute of Psychiatry, No. 2-10 Kraepelinstr, Munich 80804, Germany
| | - Wei-Hua Chen
- Department of Bioinformatics and Systems Biology, Key Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular-Imaging, Center for Artificial Intelligence Biology, College of Life Science and Technology, Huazhong University of Science and Technology,No. 1037 Luoyu Road, Wuhan 430074,China
| | - Guang-Zhong Wang
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, No. 320 Yueyang Road, Shanghai 200031, China
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9
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Filipović D, Novak B, Xiao J, Yan Y, Bernardi RE, Turck CW. Chronic fluoxetine treatment in socially-isolated rats modulates the prefrontal cortex synaptoproteome. J Proteomics 2023; 282:104925. [PMID: 37164273 DOI: 10.1016/j.jprot.2023.104925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 05/01/2023] [Accepted: 05/03/2023] [Indexed: 05/12/2023]
Abstract
Exposure to chronic social isolation (CSIS) and synapse dysfunction have been implicated in the etiology of major depressive disorder (MDD). Fluoxetine (Flx) has been widely used to treat MDD, but its mechanisms of action remain elusive. We employed comparative synaptoproteomics to investigate the changes in the levels of proteins and molecular signaling pathways in prefrontal cortical samples of adult male Wistar rats exposed to CSIS, a rat model of depression, and CSIS rats treated with chronic Flx and controls, using liquid chromatography coupled to tandem mass spectrometry. Flx-treated control rats showed a decreased level of proteins involved in vesicle-mediated transport, and a predominantly increased level of exocytosis-associated proteins. CSIS significantly reduced the level of proteins involved in the ATP metabolic process, clathrin-dependent endocytosis, and proteolysis. Flx treatment in CSIS rats stimulated synaptic vesicle trafficking by increasing the regulation of exo/endocytosis-associated proteins, proteins involved in synaptic plasticity including neurogenesis, Cox5a, mitochondria-associated proteins involved in oxidative phosphorylation, and ion transport proteins (Slc8a2, Atp1b2). Flx treatment resulted in an increased synaptic vesicle dynamic, plasticity and mitochondrial functionality, and a suppression of CSIS-induced impairment of these processes. BIOLOGICAL SIGNIFICANCE: Identifying biomarkers of MDD and treatment response is the goal of many studies. Contemporary studies have shown that many molecular alterations associated with the pathophysiology of MDD reside within the synapse. As part of this research, a growing importance is the use of proteomics, as monitoring the changes in protein levels enables the identification of (possible) biochemical pathways and processes of importance for the development of depressive-like behavior and the efficacy of antidepressant treatments. We profiled proteomic changes representative of the development of CSIS-induced depressive-like behavior and the antidepressant effects of Flx. Our study has identified synaptosomal proteins and altered molecular pathways that may be potential markers of prefrontal cortical synaptic dysfunction associated with depressive-like behavior, and further clarified the mechanisms of depressive-like behavior and mode of action of Flx. Our findings indicate potential PFC synaptic targets for antidepressant treatment.
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Affiliation(s)
- Dragana Filipović
- Department of Molecular Biology and Endocrinology, "VINČA", Institute of Nuclear Sciences - National Institute of thе Republic of Serbia, University of Belgrade, Belgrade, Serbia.
| | - Božidar Novak
- Proteomics and Biomarkers, Max Planck Institute of Psychiatry, Munich, Germany
| | - Jinqiu Xiao
- Proteomics and Biomarkers, Max Planck Institute of Psychiatry, Munich, Germany
| | - Yu Yan
- Proteomics and Biomarkers, Max Planck Institute of Psychiatry, Munich, Germany
| | - Rick E Bernardi
- Institute of Psychopharmacology, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Christoph W Turck
- Proteomics and Biomarkers, Max Planck Institute of Psychiatry, Munich, Germany
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10
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Contini C, Serrao S, Manconi B, Olianas A, Iavarone F, Guadalupi G, Messana I, Castagnola M, Masullo C, Bizzarro A, Turck CW, Maccarrone G, Cabras T. Characterization of Cystatin B Interactome in Saliva from Healthy Elderly and Alzheimer’s Disease Patients. Life (Basel) 2023; 13:life13030748. [PMID: 36983903 PMCID: PMC10054399 DOI: 10.3390/life13030748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 02/27/2023] [Accepted: 03/07/2023] [Indexed: 03/12/2023] Open
Abstract
Cystatin B is a small, multifunctional protein involved in the regulation of inflammation, innate immune response, and neuronal protection and found highly abundant in the brains of patients with Alzheimer’s disease (AD). Recently, our study demonstrated a significant association between the level of salivary cystatin B and AD. Since the protein is able to establish protein-protein interaction (PPI) in different contexts and aggregation-prone proteins and the PPI networks are relevant for AD pathogenesis, and due to the relevance of finding new AD markers in peripheral biofluids, we thought it was interesting to study the possible involvement of cystatin B in PPIs in saliva and to evaluate differences and similarities between AD and age-matched elderly healthy controls (HC). For this purpose, we applied a co-immunoprecipitation procedure and a bottom-up proteomics analysis to purify, identify, and quantify cystatin B interactors. Results demonstrated for the first time the existence of a salivary cystatin B-linked multi-protein complex composed by 82 interactors and largely expressed in the body. Interactors are involved in neutrophil activation, antimicrobial activity, modulation of the cytoskeleton and extra-cellular matrix (ECM), and glucose metabolism. Preliminary quantitative data showed significantly lower levels of triosophosphate isomerase 1 and higher levels of mucin 7, BPI, and matrix Gla protein in AD with respect to HC, suggesting implications associated with AD of altered glucose metabolism, antibacterial activities, and calcification-associated processes. Data are available via ProteomeXchange with identifiers PXD039286 and PXD030679.
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Affiliation(s)
- Cristina Contini
- Department of Life and Environmental Sciences, University of Cagliari, 09124 Cagliari, Italy
| | - Simone Serrao
- Department of Life and Environmental Sciences, University of Cagliari, 09124 Cagliari, Italy
| | - Barbara Manconi
- Department of Life and Environmental Sciences, University of Cagliari, 09124 Cagliari, Italy
- Correspondence:
| | - Alessandra Olianas
- Department of Life and Environmental Sciences, University of Cagliari, 09124 Cagliari, Italy
| | - Federica Iavarone
- Department of Basic Biotechnological Sciences, Intensive and Perioperative Clinics, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
- Policlinico Universitario “A. Gemelli” Foundation IRCCS, 00168 Rome, Italy
| | - Giulia Guadalupi
- Department of Life and Environmental Sciences, University of Cagliari, 09124 Cagliari, Italy
| | - Irene Messana
- Istituto di Scienze e Tecnologie Chimiche “Giulio Natta”, Consiglio Nazionale delle Ricerche, 00168 Rome, Italy
| | - Massimo Castagnola
- Proteomics Laboratory, European Center for Brain Research, (IRCCS) Santa Lucia Foundation, 00168 Rome, Italy
| | - Carlo Masullo
- Department of Neuroscience, Neurology Section, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | | | - Christoph W. Turck
- Proteomics and Biomarkers, Max Planck Institute of Psychiatry, 80804 Munich, Germany
| | - Giuseppina Maccarrone
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, 80804 Munich, Germany
| | - Tiziana Cabras
- Department of Life and Environmental Sciences, University of Cagliari, 09124 Cagliari, Italy
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11
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Yan Y, Park DI, Horn A, Golub M, Turck CW, Golub M, W. Turck C. Delineation of biomarkers and molecular pathways of residual effects of fluoxetine treatment in juvenile rhesus monkeys by proteomic profiling. Zool Res 2023; 44:30-42. [PMID: 36266933 PMCID: PMC9841182 DOI: 10.24272/j.issn.2095-8137.2022.196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
Fluoxetine (Prozac™) is the only antidepressant approved by the US Food and Drug Administration (FDA) for the treatment of major depressive disorder (MDD) in children. Despite its considerable efficacy as a selective serotonin reuptake inhibitor, the possible long-term effects of fluoxetine on brain development in children are poorly understood. In the current study, we aimed to delineate molecular mechanisms and protein biomarkers in the brains of juvenile rhesus macaques (Macaca mulatta) one year after the discontinuation of fluoxetine treatment using proteomic and phosphoproteomic profiling. We identified several differences in protein expression and phosphorylation in the dorsolateral prefrontal cortex (DLPFC) and cingulate cortex (CC) that correlated with impulsivity in animals, suggesting that the GABAergic synapse pathway may be affected by fluoxetine treatment. Biomarkers in combination with the identified pathways contribute to a better understanding of the mechanisms underlying the chronic effects of fluoxetine after discontinuation in children.
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Affiliation(s)
- Yu Yan
- Proteomics and Biomarkers, Max Planck Institute of Psychiatry, Munich 80804, Germany
| | - Dong Ik Park
- Proteomics and Biomarkers, Max Planck Institute of Psychiatry, Munich 80804, Germany
| | - Anja Horn
- Ludwig-Maximilians-Universität, Chair of Vegetative Anatomy, Institute of Anatomy, Faculty of Medicine, Munich 80336, Germany
| | - Mari Golub
- Department of Environmental Toxicology, University of California, Davis, CA 95616, USA
| | - Christoph W. Turck
- Proteomics and Biomarkers, Max Planck Institute of Psychiatry, Munich 80804, Germany,E-mail:
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12
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Zhang L, Turck CW, Wang GZ. Editorial: Time, genetics, and complex disease. Front Genet 2022; 13:1016049. [PMID: 36186477 PMCID: PMC9522546 DOI: 10.3389/fgene.2022.1016049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 08/15/2022] [Indexed: 11/13/2022] Open
Affiliation(s)
- Luoying Zhang
- Key Laboratory of Molecular Biophysics of Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Christoph W. Turck
- Max Planck Institute of Psychiatry, Proteomics and Biomarkers, Munich, Germany
| | - Guang-Zhong Wang
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
- *Correspondence: Guang-Zhong Wang,
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13
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Filipović D, Novak B, Xiao J, Yan Y, Yeoh K, Turck CW. Chronic Fluoxetine Treatment of Socially Isolated Rats Modulates Prefrontal Cortex Proteome. Neuroscience 2022; 501:52-71. [PMID: 35963583 DOI: 10.1016/j.neuroscience.2022.08.011] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 08/01/2022] [Accepted: 08/08/2022] [Indexed: 11/28/2022]
Abstract
Fluoxetine (Flx) is the most commonly used antidepressant to treat major depressive disorder. However, its molecular mechanisms of action are not defined as yet. A comparative proteomic approach was used to identify proteome changes in the prefrontal cortex (PFC) cytosolic and non-synaptic mitochondria (NSM)-enriched fractions of adult male Wistar rats following chronic social isolation (CSIS), a rat model of depression, and Flx treatment in CSIS and control rats, using liquid chromatography online tandem mass spectrometry. Flx reversed CSIS-induced depressive - like behavior according to preference for sucrose and immobility in the forced swim test, indicating its antidepressant effect. Flx treatment in controls led to an increase of the expression of cytosolic proteins involved in the microtubule cytoskeleton and intracellular calcium homeostasis and of enzymes involved in bioenergetic and transmembrane transport in NSM. CSIS downregulated the cytosolic proteins involved in proteasome pathway, and glutathione antioxidative system, and upregulated the expression of enzymes participating in mitochondrial-energy metabolism and transport. The presence of cytochrome c in the cytosol may suggest compromised mitochondrial membrane integrity. Flx treatment in CSIS rats downregulated protein involved in oxidative phosphorylation, such as complex III and manganese superoxide dismutase, and upregulated vesicle-mediated transport and synaptic signaling proteins in the cytosol, and neuronal calcium-binding protein 1 in NSM. Our study identified PFC modulated proteins and affected biochemical pathways that may represent potential markers/targets underlying CSIS-induced depression and effective Flx treatment, and highlights the role of protein systems involved in NSM and various metabolic pathways potentially involved in neuronal plasticity.
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Affiliation(s)
- Dragana Filipović
- Department of Molecular Biology and Endocrinology, "VINČA", Institute of Nuclear Sciences - National Institute of the Republic of Serbia, University of Belgrade, Belgrade, Serbia.
| | - Božidar Novak
- Proteomics and Biomarkers, Max Planck Institute of Psychiatry, Munich, Germany
| | - Jinqiu Xiao
- Proteomics and Biomarkers, Max Planck Institute of Psychiatry, Munich, Germany
| | - Yu Yan
- Proteomics and Biomarkers, Max Planck Institute of Psychiatry, Munich, Germany
| | - Karin Yeoh
- Proteomics and Biomarkers, Max Planck Institute of Psychiatry, Munich, Germany
| | - Christoph W Turck
- Proteomics and Biomarkers, Max Planck Institute of Psychiatry, Munich, Germany
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14
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Turck CW, Webhofer C, Reckow S, Moy J, Wang M, Guillermier C, Poczatek JC, Filiou MD. Antidepressant treatment effects on hippocampal protein turnover: Molecular and spatial insights from mass spectrometry. Proteomics 2022; 22:e2100244. [PMID: 35355420 DOI: 10.1002/pmic.202100244] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Revised: 03/04/2022] [Accepted: 03/04/2022] [Indexed: 11/12/2022]
Abstract
A major challenge in managing depression is that antidepressant drugs take a long time to exert their therapeutic effects. For the development of faster acting therapies, it is crucial to get an improved understanding of the molecular mechanisms underlying antidepressant mode of action. Here, we used a novel mass spectrometry-based workflow to investigate how antidepressant treatment affects brain protein turnover at single cell and subcellular resolution. We combined stable isotope metabolic labeling, quantitative Tandem Mass Spectrometry (qTMS) and Multi-isotope Imaging Mass Spectrometry (MIMS) to simultaneously quantify and image protein synthesis and turnover in hippocampi of mice treated with the antidepressant paroxetine. We identified changes in turnover of individual hippocampal proteins that reveal altered metabolism-mitochondrial processes and report on subregion-specific turnover patterns upon paroxetine treatment. This workflow can be used to investigate brain protein turnover changes upon pharmacological interventions at a resolution and precision that has not been possible with other methods to date. Our results reveal acute paroxetine effects on brain protein turnover and shed light on antidepressant mode of action. This article is protected by copyright. All rights reserved.
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Affiliation(s)
| | - Christian Webhofer
- Max Planck Institute of Psychiatry, Munich, Germany.,Present address: Amgen Research GmbH, Munich, Germany
| | | | - Jeffrey Moy
- Division of Genetics, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.,National Resource for Imaging Mass Spectrometry (NRIMS), Cambridge, MA, USA
| | - Mei Wang
- Division of Genetics, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.,National Resource for Imaging Mass Spectrometry (NRIMS), Cambridge, MA, USA
| | - Christelle Guillermier
- Division of Genetics, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.,National Resource for Imaging Mass Spectrometry (NRIMS), Cambridge, MA, USA
| | - J Collin Poczatek
- Division of Genetics, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.,National Resource for Imaging Mass Spectrometry (NRIMS), Cambridge, MA, USA
| | - Michaela D Filiou
- Max Planck Institute of Psychiatry, Munich, Germany.,Department of Biological Applications and Technology, School of Health Sciences, University of Ioannina, Ioannina, Greece.,Biomedical Research Institute, Foundation for Research and Technology-Hellas (FORTH), Ioannina, Greece
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15
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Ebert T, Heinz DE, Almeida-Corrêa S, Cruz R, Dethloff F, Stark T, Bajaj T, Maurel OM, Ribeiro FM, Calcagnini S, Hafner K, Gassen NC, Turck CW, Boulat B, Czisch M, Wotjak CT. Myo-Inositol Levels in the Dorsal Hippocampus Serve as Glial Prognostic Marker of Mild Cognitive Impairment in Mice. Front Aging Neurosci 2021; 13:731603. [PMID: 34867270 PMCID: PMC8633395 DOI: 10.3389/fnagi.2021.731603] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Accepted: 10/13/2021] [Indexed: 01/03/2023] Open
Abstract
Dementia is a devastating age-related disorder. Its therapy would largely benefit from the identification of susceptible subjects at early, prodromal stages of the disease. To search for such prognostic markers of cognitive impairment, we studied spatial navigation in male BALBc vs. B6N mice in combination with in vivo magnetic resonance spectroscopy (1H-MRS). BALBc mice consistently showed higher escape latencies than B6N mice, both in the Water Cross Maze (WCM) and the Morris water maze (MWM). These performance deficits coincided with higher levels of myo-inositol (mIns) in the dorsal hippocampus before and after training. Subsequent biochemical analyses of hippocampal specimens by capillary immunodetection and liquid chromatography mass spectrometry-based (LC/MS) metabolomics revealed a higher abundance of glial markers (IBA-1, S100B, and GFAP) as well as distinct alterations in metabolites including a decrease in vitamins (pantothenic acid and nicotinamide), neurotransmitters (acetylcholine), their metabolites (glutamine), and acetyl-L-carnitine. Supplementation of low abundant acetyl-L-carnitine via the drinking water, however, failed to revert the behavioral deficits shown by BALBc mice. Based on our data we suggest (i) BALBc mice as an animal model and (ii) hippocampal mIns levels as a prognostic marker of mild cognitive impairment (MCI), due to (iii) local changes in microglia and astrocyte activity, which may (iv) result in decreased concentrations of promnesic molecules.
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Affiliation(s)
- Tim Ebert
- Research Group Neuronal Plasticity, Max Planck Institute of Psychiatry, Munich, Germany
- Research Group Neurohomeostasis, Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Daniel E. Heinz
- Research Group Neuronal Plasticity, Max Planck Institute of Psychiatry, Munich, Germany
- Max Planck School of Cognition, Leipzig, Germany
| | | | - Renata Cruz
- Research Group Neuronal Plasticity, Max Planck Institute of Psychiatry, Munich, Germany
| | - Frederik Dethloff
- Proteomics and Biomarkers, Max Planck Institute of Psychiatry, Munich, Germany
| | - Tibor Stark
- Research Group Neuronal Plasticity, Max Planck Institute of Psychiatry, Munich, Germany
- Department of Pharmacology, Faculty of Medicine, Masaryk University, Brno, Czechia
- Scientific Core Unit “Neuroimaging”, Max Planck Institute of Psychiatry, Munich, Germany
| | - Thomas Bajaj
- Research Group Neurohomeostasis, Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Oriana M. Maurel
- Research Group Neuronal Plasticity, Max Planck Institute of Psychiatry, Munich, Germany
| | - Fabiola M. Ribeiro
- Research Group Neuronal Plasticity, Max Planck Institute of Psychiatry, Munich, Germany
| | - Silvio Calcagnini
- Research Group Neuronal Plasticity, Max Planck Institute of Psychiatry, Munich, Germany
| | - Kathrin Hafner
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Nils C. Gassen
- Research Group Neurohomeostasis, Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Christoph W. Turck
- Proteomics and Biomarkers, Max Planck Institute of Psychiatry, Munich, Germany
| | - Benoit Boulat
- Scientific Core Unit “Neuroimaging”, Max Planck Institute of Psychiatry, Munich, Germany
| | - Michael Czisch
- Scientific Core Unit “Neuroimaging”, Max Planck Institute of Psychiatry, Munich, Germany
| | - Carsten T. Wotjak
- Research Group Neuronal Plasticity, Max Planck Institute of Psychiatry, Munich, Germany
- Central Nervous System Diseases Research (CNSDR), Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riss, Germany
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16
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Li H, Su LY, Yang L, Li M, Liu Q, Li Z, Hu Y, Li H, Wu S, Wang W, Hu Y, Wang Z, Rizak JD, Huang B, Xu M, Wu J, Lv LB, Turck CW, Yin Y, Yao YG, Su B, Hu X. A cynomolgus monkey with naturally occurring Parkinson's disease. Natl Sci Rev 2021; 8:nwaa292. [PMID: 34691601 PMCID: PMC8288342 DOI: 10.1093/nsr/nwaa292] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2020] [Revised: 12/03/2020] [Accepted: 12/07/2020] [Indexed: 11/30/2022] Open
Affiliation(s)
- Hao Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, China
| | - Ling-Yan Su
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, China
| | - Lixin Yang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, China
| | - Min Li
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, China
| | - Qianjin Liu
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, China
| | - Zhenhui Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, China
| | - Yan Hu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, China
| | - Hongwei Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, China
| | - Shihao Wu
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, China
| | - Wenchao Wang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, China
| | - Yingzhou Hu
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, China
| | - Zhengbo Wang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, China
| | - Joshua D Rizak
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, China
| | - Baihui Huang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, China
| | - Min Xu
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, China
| | - Jing Wu
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, China
| | - Long-Bao Lv
- National Resource Center for Non-Human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, China
| | - Christoph W Turck
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, China
| | - Yong Yin
- Department of Rehabilitation Medicine, the Second People's Hospital of Yunnan Province, China
| | - Yong-Gang Yao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, China
| | - Bing Su
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, China
| | - Xintian Hu
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, China
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17
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Chaby LE, Lasseter HC, Contrepois K, Salek RM, Turck CW, Thompson A, Vaughan T, Haas M, Jeromin A. Cross-Platform Evaluation of Commercially Targeted and Untargeted Metabolomics Approaches to Optimize the Investigation of Psychiatric Disease. Metabolites 2021; 11:609. [PMID: 34564425 PMCID: PMC8466258 DOI: 10.3390/metabo11090609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 08/24/2021] [Accepted: 08/26/2021] [Indexed: 11/17/2022] Open
Abstract
Metabolomics methods often encounter trade-offs between quantification accuracy and coverage, with truly comprehensive coverage only attainable through a multitude of complementary assays. Due to the lack of standardization and the variety of metabolomics assays, it is difficult to integrate datasets across studies or assays. To inform metabolomics platform selection, with a focus on posttraumatic stress disorder (PTSD), we review platform use and sample sizes in psychiatric metabolomics studies and then evaluate five prominent metabolomics platforms for coverage and performance, including intra-/inter-assay precision, accuracy, and linearity. We found performance was variable between metabolite classes, but comparable across targeted and untargeted approaches. Within all platforms, precision and accuracy were highly variable across classes, ranging from 0.9-63.2% (coefficient of variation) and 0.6-99.1% for accuracy to reference plasma. Several classes had high inter-assay variance, potentially impeding dissociation of a biological signal, including glycerophospholipids, organooxygen compounds, and fatty acids. Coverage was platform-specific and ranged from 16-70% of PTSD-associated metabolites. Non-overlapping coverage is challenging; however, benefits of applying multiple metabolomics technologies must be weighed against cost, biospecimen availability, platform-specific normative levels, and challenges in merging datasets. Our findings and open-access cross-platform dataset can inform platform selection and dataset integration based on platform-specific coverage breadth/overlap and metabolite-specific performance.
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Affiliation(s)
- Lauren E. Chaby
- Cohen Veterans Bioscience, New York, NY 10018, USA; (L.E.C.); (H.C.L.); (A.T.); (T.V.); (M.H.)
| | - Heather C. Lasseter
- Cohen Veterans Bioscience, New York, NY 10018, USA; (L.E.C.); (H.C.L.); (A.T.); (T.V.); (M.H.)
| | - Kévin Contrepois
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA;
| | - Reza M. Salek
- International Agency for Research on Cancer, Nutrition and Metabolism Branch, World Health Organisation, 150 Cours Albert Thomas, CEDEX 08, 69372 Lyon, France;
| | - Christoph W. Turck
- Max Planck Institute of Psychiatry, Proteomics and Biomarkers, 80804 Munich, Germany;
| | - Andrew Thompson
- Cohen Veterans Bioscience, New York, NY 10018, USA; (L.E.C.); (H.C.L.); (A.T.); (T.V.); (M.H.)
| | - Timothy Vaughan
- Cohen Veterans Bioscience, New York, NY 10018, USA; (L.E.C.); (H.C.L.); (A.T.); (T.V.); (M.H.)
| | - Magali Haas
- Cohen Veterans Bioscience, New York, NY 10018, USA; (L.E.C.); (H.C.L.); (A.T.); (T.V.); (M.H.)
| | - Andreas Jeromin
- Cohen Veterans Bioscience, New York, NY 10018, USA; (L.E.C.); (H.C.L.); (A.T.); (T.V.); (M.H.)
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18
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Martinelli S, Anderzhanova EA, Bajaj T, Wiechmann S, Dethloff F, Weckmann K, Heinz DE, Ebert T, Hartmann J, Geiger TM, Döngi M, Hafner K, Pöhlmann ML, Jollans L, Philipsen A, Schmidt SV, Schmidt U, Maccarrone G, Stein V, Hausch F, Turck CW, Schmidt MV, Gellner AK, Kuster B, Gassen NC. Stress-primed secretory autophagy promotes extracellular BDNF maturation by enhancing MMP9 secretion. Nat Commun 2021; 12:4643. [PMID: 34330919 PMCID: PMC8324795 DOI: 10.1038/s41467-021-24810-5] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Accepted: 07/07/2021] [Indexed: 11/23/2022] Open
Abstract
The stress response is an essential mechanism for maintaining homeostasis, and its disruption is implicated in several psychiatric disorders. On the cellular level, stress activates, among other mechanisms, autophagy that regulates homeostasis through protein degradation and recycling. Secretory autophagy is a recently described pathway in which autophagosomes fuse with the plasma membrane rather than with lysosomes. Here, we demonstrate that glucocorticoid-mediated stress enhances secretory autophagy via the stress-responsive co-chaperone FK506-binding protein 51. We identify the matrix metalloproteinase 9 (MMP9) as one of the proteins secreted in response to stress. Using cellular assays and in vivo microdialysis, we further find that stress-enhanced MMP9 secretion increases the cleavage of pro-brain-derived neurotrophic factor (proBDNF) to its mature form (mBDNF). BDNF is essential for adult synaptic plasticity and its pathway is associated with major depression and posttraumatic stress disorder. These findings unravel a cellular stress adaptation mechanism that bears the potential of opening avenues for the understanding of the pathophysiology of stress-related disorders.
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Affiliation(s)
- Silvia Martinelli
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany.
| | - Elmira A Anderzhanova
- Research Group Neurohomeostasis, Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
- Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany
| | - Thomas Bajaj
- Research Group Neurohomeostasis, Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Svenja Wiechmann
- Chair of Proteomics and Bioanalytics, Technical University of Munich, Emil-Erlenmeyer-Forum 5, Freising, Germany
- German Cancer Consortium (DKTK), Munich, Germany
- German Cancer Center (DKFZ), Heidelberg, Germany
| | - Frederik Dethloff
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
- Metabolomics Core Facility, Max Planck Institute for Biology of Ageing, Cologne, Germany
| | - Katja Weckmann
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Daniel E Heinz
- Research Group Neurohomeostasis, Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
- Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany
| | - Tim Ebert
- Research Group Neurohomeostasis, Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Jakob Hartmann
- Department of Psychiatry, Harvard Medical School and McLean Hospital, Belmont, MA, USA
| | - Thomas M Geiger
- Institute for Organic Chemistry and Biochemistry, Technische Universität Darmstadt, Darmstadt, Germany
| | - Michael Döngi
- Institut für Physiologie II, University of Bonn, Bonn, Germany
| | - Kathrin Hafner
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Max L Pöhlmann
- Research Group Neurobiology of Stress Resilience, Max Planck Institute of Psychiatry, Munich, Germany
| | - Lee Jollans
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Alexandra Philipsen
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | | | - Ulrike Schmidt
- Research Group Molecular and Clinical Psychotraumatology, Department of Psychiatry and Psychotherapy, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany
- Research Group Traumatic Stress & Neurodegeneration & PTSD Treatment Unit, Department of Psychiatry and Psychotherapy, University Medical Center Göttingen (UMG), Göttingen, Germany
- Department of Psychiatry and Neuropsychology, Maastricht University Medical Centre, School for Mental Health and Neuroscience, Maastricht, The Netherlands
| | - Giuseppina Maccarrone
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Valentin Stein
- Institut für Physiologie II, University of Bonn, Bonn, Germany
| | - Felix Hausch
- Institute for Organic Chemistry and Biochemistry, Technische Universität Darmstadt, Darmstadt, Germany
| | - Christoph W Turck
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Mathias V Schmidt
- Research Group Neurobiology of Stress Resilience, Max Planck Institute of Psychiatry, Munich, Germany
| | - Anne-Kathrin Gellner
- Institut für Physiologie II, University of Bonn, Bonn, Germany
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Bernhard Kuster
- Chair of Proteomics and Bioanalytics, Technical University of Munich, Emil-Erlenmeyer-Forum 5, Freising, Germany
- German Cancer Consortium (DKTK), Munich, Germany
- German Cancer Center (DKFZ), Heidelberg, Germany
- Bavarian Center for Biomolecular Mass Spectrometry, Freising, Germany
| | - Nils C Gassen
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany.
- Research Group Neurohomeostasis, Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany.
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19
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Tkachev A, Stekolshchikova E, Bobrovskiy DM, Anikanov N, Ogurtsova P, Park DI, Horn AKE, Petrova D, Khrameeva E, Golub MS, Turck CW, Khaitovich P. Long-Term Fluoxetine Administration Causes Substantial Lipidome Alteration of the Juvenile Macaque Brain. Int J Mol Sci 2021; 22:ijms22158089. [PMID: 34360852 PMCID: PMC8348031 DOI: 10.3390/ijms22158089] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 07/13/2021] [Accepted: 07/16/2021] [Indexed: 12/13/2022] Open
Abstract
Fluoxetine is an antidepressant commonly prescribed not only to adults but also to children for the treatment of depression, obsessive-compulsive disorder, and neurodevelopmental disorders. The adverse effects of the long-term treatment reported in some patients, especially in younger individuals, call for a detailed investigation of molecular alterations induced by fluoxetine treatment. Two-year fluoxetine administration to juvenile macaques revealed effects on impulsivity, sleep, social interaction, and peripheral metabolites. Here, we built upon this work by assessing residual effects of fluoxetine administration on the expression of genes and abundance of lipids and polar metabolites in the prelimbic cortex of 10 treated and 11 control macaques representing two monoamine oxidase A (MAOA) genotypes. Analysis of 8871 mRNA transcripts, 3608 lipids, and 1829 polar metabolites revealed substantial alterations of the brain lipid content, including significant abundance changes of 106 lipid features, accompanied by subtle changes in gene expression. Lipid alterations in the drug-treated animals were most evident for polyunsaturated fatty acids (PUFAs). A decrease in PUFAs levels was observed in all quantified lipid classes excluding sphingolipids, which do not usually contain PUFAs, suggesting systemic changes in fatty acid metabolism. Furthermore, the residual effect of the drug on lipid abundances was more pronounced in macaques carrying the MAOA-L genotype, mirroring reported behavioral effects of the treatment. We speculate that a decrease in PUFAs may be associated with adverse effects in depressive patients and could potentially account for the variation in individual response to fluoxetine in young people.
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Affiliation(s)
- Anna Tkachev
- V. Zelman Center for Neurobiology and Brain Restoration, Skolkovo Institute of Science and Technology, 121205 Moscow, Russia; (A.T.); (E.S.); (N.A.); (P.O.); (D.P.)
| | - Elena Stekolshchikova
- V. Zelman Center for Neurobiology and Brain Restoration, Skolkovo Institute of Science and Technology, 121205 Moscow, Russia; (A.T.); (E.S.); (N.A.); (P.O.); (D.P.)
| | - Daniil M. Bobrovskiy
- Faculty of Bioengineering and Bioinformatics, Moscow State University, 119234 Moscow, Russia;
| | - Nickolay Anikanov
- V. Zelman Center for Neurobiology and Brain Restoration, Skolkovo Institute of Science and Technology, 121205 Moscow, Russia; (A.T.); (E.S.); (N.A.); (P.O.); (D.P.)
| | - Polina Ogurtsova
- V. Zelman Center for Neurobiology and Brain Restoration, Skolkovo Institute of Science and Technology, 121205 Moscow, Russia; (A.T.); (E.S.); (N.A.); (P.O.); (D.P.)
| | - Dong Ik Park
- Proteomics and Biomarkers, Max Planck Institute of Psychiatry, 80804 Munich, Germany;
| | - Anja K. E. Horn
- Institute of Anatomy and Cell Biology, Ludwig-Maximilians University, 80336 Munich, Germany;
| | - Daria Petrova
- V. Zelman Center for Neurobiology and Brain Restoration, Skolkovo Institute of Science and Technology, 121205 Moscow, Russia; (A.T.); (E.S.); (N.A.); (P.O.); (D.P.)
| | - Ekaterina Khrameeva
- Center of Life Sciences, Skolkovo Institute of Science and Technology, 121205 Moscow, Russia
- Correspondence: (E.K.); (M.S.G.); (C.W.T.); (P.K.)
| | - Mari S. Golub
- California National Primate Research Center, University of California, Davis, CA 95616, USA
- Correspondence: (E.K.); (M.S.G.); (C.W.T.); (P.K.)
| | - Christoph W. Turck
- Proteomics and Biomarkers, Max Planck Institute of Psychiatry, 80804 Munich, Germany;
- Correspondence: (E.K.); (M.S.G.); (C.W.T.); (P.K.)
| | - Philipp Khaitovich
- V. Zelman Center for Neurobiology and Brain Restoration, Skolkovo Institute of Science and Technology, 121205 Moscow, Russia; (A.T.); (E.S.); (N.A.); (P.O.); (D.P.)
- Correspondence: (E.K.); (M.S.G.); (C.W.T.); (P.K.)
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20
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Zhang W, Wang W, Zhao M, Turck CW, Zhu Y, Wang GZ. Rapid Body-Wide Transcriptomic Turnover During Rhesus Macaque Perinatal Development. Front Physiol 2021; 12:690540. [PMID: 34177627 PMCID: PMC8223001 DOI: 10.3389/fphys.2021.690540] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Accepted: 05/17/2021] [Indexed: 11/13/2022] Open
Abstract
An hourglass cup-shape pattern of regulation at the molecular level was detected during the development of the primate brain. Specifically, a peak of temporally differentially expressed genes around the time of birth has been observed in the human brain. However, to what extend this peak of regulation exists among species has not been investigated in great detail. Here, by integrating multiple large-scale transcriptome data from rhesus macaques, we confirmed that a similar differential expression peak exists during the development of the macaque brain. We also found that a similar peak exists during the development of other organs, such as liver, testis, kidney and heart. Furthermore, we found that distinct pathways are regulated in the peak period of those organs. Our results highlight the importance of co-evolution of diverse organs during critical periods of perinatal development in primates.
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Affiliation(s)
- Wenqian Zhang
- School of Life Sciences, Guizhou Normal University, Guiyang, China
| | - Wei Wang
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Manman Zhao
- State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai, China
| | - Christoph W Turck
- Max Planck Institute of Psychiatry, Proteomics and Biomarkers, Munich, Germany
| | - Ying Zhu
- State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai, China
| | - Guang-Zhong Wang
- School of Life Sciences, Guizhou Normal University, Guiyang, China.,CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
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21
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Martins-de-Souza D, Guest PC, Reis-de-Oliveira G, Schmitt A, Falkai P, Turck CW. An overview of the human brain myelin proteome and differences associated with schizophrenia. World J Biol Psychiatry 2021; 22:271-287. [PMID: 32602824 DOI: 10.1080/15622975.2020.1789217] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
OBJECTIVES Disturbances in the myelin sheath drive disruptions in neural transmission and brain connectivity as seen in schizophrenia. Here, the myelin proteome was characterised in schizophrenia patients and healthy controls to visualise differences in proteomic profiles. METHODS A liquid chromatography tandem mass spectrometry-based shotgun proteomic analysis was performed of a myelin-enriched fraction of postmortem brain samples from schizophrenia patients (n = 12) and mentally healthy controls (n = 8). In silico pathway analyses were performed on the resulting data. RESULTS The present characterisation of the human myelinome led to the identification of 480 non-redundant proteins, of which 102 proteins are newly annotated to be associated with the myelinome. Levels of 172 of these proteins were altered between schizophrenia patients and controls. These proteins were mainly associated with glial cell differentiation, metabolism/energy, synaptic vesicle function and neurodegeneration. The hub proteins with the highest degree of connectivity in the network included multiple kinases and synaptic vesicle transport proteins. CONCLUSIONS Together these findings suggest disruptive effects on synaptic activity and therefore neural transmission and connectivity, consistent with the dysconnectivity hypothesis of schizophrenia. Further studies on these proteins may lead to the identification of potential drug targets related to the synaptic dysconnectivity in schizophrenia and other psychiatric and neurodegenerative disorders.
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Affiliation(s)
- Daniel Martins-de-Souza
- Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, Brazil.,Instituto Nacional de Biomarcadores em Neuropsiquiatria (INBION) Conselho Nacional de Desenvolvimento Científico e Tecnológico, São Paulo, Brazil.,Experimental Medicine Research Cluster (EMRC), University of Campinas, Campinas, Brazil.,D'Or Institute for Research and Education (IDOR), São Paulo, Brazil
| | - Paul C Guest
- Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, Brazil
| | - Guilherme Reis-de-Oliveira
- Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, Brazil
| | - Andrea Schmitt
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Peter Falkai
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Christoph W Turck
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
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22
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Filiou MD, Nussbaumer M, Teplytska L, Turck CW. Behavioral and Metabolome Differences between C57BL/6 and DBA/2 Mouse Strains: Implications for Their Use as Models for Depression- and Anxiety-Like Phenotypes. Metabolites 2021; 11:metabo11020128. [PMID: 33672326 PMCID: PMC7926853 DOI: 10.3390/metabo11020128] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2020] [Revised: 01/22/2021] [Accepted: 02/04/2021] [Indexed: 02/07/2023] Open
Abstract
Mouse models are widely used to study behavioral phenotypes related to neuropsychiatric disorders. However, different mouse strains vary in their inherent behavioral and molecular characteristics, which needs to be taken into account depending on the nature of the study. Here, we performed a detailed behavioral and molecular comparison of C57BL/6 (B6) and DBA/2 (DBA) mice, two inbred strains commonly used in neuropsychiatric research. We analyzed anxiety-related and depression-like traits, quantified hippocampal and plasma metabolite profiles, and assessed total antioxidant capacity (ΤAC). B6 mice exhibit increased depression-like and decreased anxiety-related behavior compared to DBA mice. Metabolite level differences indicate alterations in amino acid, nucleotide and mitochondrial metabolism that are accompanied by a decreased TAC in B6 compared to DBA mice. Our data reveal multiple behavioral and molecular differences between B6 and DBA mouse strains, which should be considered in the experimental design for phenotype, pharmacological and mechanistic studies relevant for neuropsychiatric disorders.
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Affiliation(s)
- Michaela D. Filiou
- Proteomics and Biomarkers, Max Planck Institute of Psychiatry, 2-10, 80804 Munich, Germany; (M.N.); (L.T.)
- Department of Biological Applications and Technology, School of Health Sciences, University of Ioannina, 45110 Ioannina, Greece
- Biomedical Research Division, Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology-Hellas (FORTH), 45110 Ioannina, Greece
- Correspondence: (M.D.F.); (C.W.T.); Tel.: +30-265-1007-334 (M.D.F.)
| | - Markus Nussbaumer
- Proteomics and Biomarkers, Max Planck Institute of Psychiatry, 2-10, 80804 Munich, Germany; (M.N.); (L.T.)
- Department of Biological Applications and Technology, School of Health Sciences, University of Ioannina, 45110 Ioannina, Greece
- Biomedical Research Division, Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology-Hellas (FORTH), 45110 Ioannina, Greece
| | - Larysa Teplytska
- Proteomics and Biomarkers, Max Planck Institute of Psychiatry, 2-10, 80804 Munich, Germany; (M.N.); (L.T.)
| | - Christoph W. Turck
- Proteomics and Biomarkers, Max Planck Institute of Psychiatry, 2-10, 80804 Munich, Germany; (M.N.); (L.T.)
- Correspondence: (M.D.F.); (C.W.T.); Tel.: +30-265-1007-334 (M.D.F.)
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23
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Bonnin EA, Fornasiero EF, Lange F, Turck CW, Rizzoli SO. NanoSIMS observations of mouse retinal cells reveal strict metabolic controls on nitrogen turnover. BMC Mol Cell Biol 2021; 22:5. [PMID: 33430763 PMCID: PMC7798281 DOI: 10.1186/s12860-020-00339-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Accepted: 12/17/2020] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Most of the cells of the mammalian retina are terminally differentiated, and do not regenerate once fully developed. This implies that these cells have strict controls over their metabolic processes, including protein turnover. We report the use of metabolic labelling procedures and secondary ion mass spectrometry imaging to examine nitrogen turnover in retinal cells, with a focus on the outer nuclear layer, inner nuclear layer, and outer plexiform layer. RESULTS We find that turnover can be observed in all cells imaged using NanoSIMS. However, the rate of turnover is not constant, but varies between different cellular types and cell regions. In the inner and outer nuclear layers, turnover rate is higher in the cytosol than in the nucleus of each cell. Turnover rates are also higher in the outer plexiform layer. An examination of retinal cells from mice that were isotopically labeled very early in embryonic development shows that proteins produced during this period can be found in all cells and cell regions up to 2 months after birth, even in regions of high turnover. CONCLUSIONS Our results indicate that turnover in retinal cells is a highly regulated process, with strict metabolic controls. We also observe that turnover is several-fold higher in the synaptic layer than in cell layers. Nevertheless, embryonic proteins can still be found in this layer 2 months after birth, suggesting that stable structures persist within the synapses, which remain to be determined.
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Affiliation(s)
- Elisa A Bonnin
- Department of Neuro- and Sensory Physiology, University Medical Center Göttingen, Excellence Cluster Multiscale Bioimaging, 37073, Göttingen, Germany.
- Center for Biostructural Imaging of Neurodegeneration (BIN), 37075, Göttingen, Germany.
| | - Eugenio F Fornasiero
- Department of Neuro- and Sensory Physiology, University Medical Center Göttingen, Excellence Cluster Multiscale Bioimaging, 37073, Göttingen, Germany
- Center for Biostructural Imaging of Neurodegeneration (BIN), 37075, Göttingen, Germany
| | - Felix Lange
- Department of Nanobiophotonics, Max Planck Institute for Biophysical Chemistry, 37077, Göttingen, Germany
- Clinic for Neurology, University Medical Center Göttingen, 37075, Göttingen, Germany
| | - Christoph W Turck
- Proteomics and Biomarkers, Max Planck Institute of Psychiatry, Munich, Germany
| | - Silvio O Rizzoli
- Department of Neuro- and Sensory Physiology, University Medical Center Göttingen, Excellence Cluster Multiscale Bioimaging, 37073, Göttingen, Germany
- Center for Biostructural Imaging of Neurodegeneration (BIN), 37075, Göttingen, Germany
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24
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Capitanio JP, Dethloff F, Turck CW. Lipid metabolism is associated with temperament, corticosteroid, and hematological measures in infant rhesus monkeys ( Macaca mulatta). Zool Res 2020; 41:709-714. [PMID: 33124219 PMCID: PMC7671906 DOI: 10.24272/j.issn.2095-8137.2020.244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Accepted: 10/20/2020] [Indexed: 11/07/2022] Open
Abstract
Individuals can differ in how their behavioral and physiological systems are organized. The fact that these individual differences persist across life suggests they are supported by physical structures that may co-vary. Here, we explored three datasets associated with health and behavioral outcomes, which were obtained from infant rhesus monkeys during standardized assessment of biobehavioral organization. Variation in biobehavioral measures was related to variation in molecular pathways, as assessed by metabolomics. Plasma from infant male rhesus monkeys ( Macaca mulatta) ( n=52) was subjected to metabolite profiling. Principal component analyses identified multiple factors that explained 60%-80% of the variance in the metabolite measures. Correlational and regression analyses of corticosteroid, hematological, and temperament measures revealed significant relationships with indicators of lipid metabolism. Significant relationships were found for cortisol responses to stress and adrenocorticotropin (ACTH) stimulation, indicators of innate immunity (monocytes and natural killer (NK) cells), hemoglobin/hematocrit, and three measures of temperament. It will be important to replicate this first-of-a-kind study to determine whether the relationship between measures of biobehavioral organization and lipid metabolism are a general result, or one that is specific to early development.
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Affiliation(s)
- John P Capitanio
- Department of Psychology, University of California, Davis 95616, USA
- California National Primate Research Center, University of California, Davis 95616, USA. E-mail:
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25
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Park DI, Novak B, Yan Y, Kaya ME, Turck CW. Paroxetine binding and activation of phosphofructokinase implicates energy metabolism in antidepressant mode of action. J Psychiatr Res 2020; 129:8-14. [PMID: 32540574 DOI: 10.1016/j.jpsychires.2020.05.033] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Revised: 05/30/2020] [Accepted: 05/31/2020] [Indexed: 12/16/2022]
Abstract
Selective serotonin reuptake inhibitors (SSRIs) are the predominant drugs prescribed for Major Depressive Disorder. The immediate pharmacological target of SSRIs is the serotonin transporter. However, the delayed therapeutic effect and high rate of patient non-response make it highly likely that SSRIs also have other molecular targets that are yet to be identified. Cellular thermal shift assay (CETSA) is a method based on thermal stabilization of target proteins upon drug binding. In the present study, we show that the SSRI paroxetine binds to phosphofructokinase (PFK) protein using CETSA. We found that mouse brain PFK and recombinant human PFK proteins are stabilized by paroxetine incubation. Chronic paroxetine treatment also significantly increased mouse brain PFK thermal stability. Paroxetine significantly elevated in vitro and in vivo PFK activity. Levels of several metabolites in glutamate- and energy metabolism-related pathways are significantly correlated with PFK activity in mouse hippocampus. Our data show that paroxetine can bind to PFK and affect its activity. Implications of these results for the antidepressant mode of action of paroxetine are discussed.
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Affiliation(s)
- Dong Ik Park
- Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, 80804, Munich, Germany; Danish Research Institute of Translational Neuroscience (DANDRITE), Department of Biomedicine, Aarhus University, Aarhus, Denmark; The Danish National Research Foundation Center, PROMEMO, Department of Biomedicine, Aarhus University, Aarhus, Denmark.
| | - Božidar Novak
- Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, 80804, Munich, Germany
| | - Yu Yan
- Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, 80804, Munich, Germany
| | - Melahat Ezgi Kaya
- Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, 80804, Munich, Germany
| | - Christoph W Turck
- Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, 80804, Munich, Germany
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26
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Mische SM, Fisher NC, Meyn SM, Sol-Church K, Hegstad-Davies RL, Weis-Garcia F, Adams M, Ashton JM, Delventhal KM, Dragon JA, Holmes L, Jagtap P, Kubow KE, Mason CE, Palmblad M, Searle BC, Turck CW, Knudtson KL. A Review of the Scientific Rigor, Reproducibility, and Transparency Studies Conducted by the ABRF Research Groups. J Biomol Tech 2020; 31:11-26. [PMID: 31969795 PMCID: PMC6959150 DOI: 10.7171/jbt.20-3101-003] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Shared research resource facilities, also known as core laboratories (Cores), are responsible for generating a significant and growing portion of the research data in academic biomedical research institutions. Cores represent a central repository for institutional knowledge management, with deep expertise in the strengths and limitations of technology and its applications. They inherently support transparency and scientific reproducibility by protecting against cognitive bias in research design and data analysis, and they have institutional responsibility for the conduct of research (research ethics, regulatory compliance, and financial accountability) performed in their Cores. The Association of Biomolecular Resource Facilities (ABRF) is a FASEB-member scientific society whose members are scientists and administrators that manage or support Cores. The ABRF Research Groups (RGs), representing expertise for an array of cutting-edge and established technology platforms, perform multicenter research studies to determine and communicate best practices and community-based standards. This review provides a summary of the contributions of the ABRF RGs to promote scientific rigor and reproducibility in Cores from the published literature, ABRF meetings, and ABRF RGs communications.
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Affiliation(s)
- Sheenah M. Mische
- New York University (NYU) Langone Medical Center, New
York, New York 10016, USA
| | - Nancy C. Fisher
- University of North Carolina at Chapel Hill, Chapel
Hill, North Carolina 27599, USA
| | - Susan M. Meyn
- Vanderbilt University Medical Center, Nashville,
Tennessee 37212, USA
| | - Katia Sol-Church
- University of Virginia School of Medicine,
Charlottesville, Virginia 22908, USA
| | | | | | - Marie Adams
- Van Andel Institute, Grand Rapids, Michigan 49503,
USA
| | - John M. Ashton
- University of Rochester Medical Center, West
Henrietta, New York 14642, USA
| | - Kym M. Delventhal
- Stowers Institute for Medical Research, Kansas City,
Missouri 64110, USA
| | | | - Laura Holmes
- Stowers Institute for Medical Research, Kansas City,
Missouri 64110, USA
| | - Pratik Jagtap
- University of Minnesota, Minneapolis, Minnesota
55455, USA
| | | | | | - Magnus Palmblad
- Leiden University Medical Center, Leiden 2333, The
Netherlands
| | - Brian C. Searle
- Institute for Systems Biology, Seattle, Washington
98109, USA
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27
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Turck CW, Mak TD, Goudarzi M, Salek RM, Cheema AK. The ABRF Metabolomics Research Group 2016 Exploratory Study: Investigation of Data Analysis Methods for Untargeted Metabolomics. Metabolites 2020; 10:E128. [PMID: 32230777 PMCID: PMC7241086 DOI: 10.3390/metabo10040128] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Revised: 03/22/2020] [Accepted: 03/25/2020] [Indexed: 11/16/2022] Open
Abstract
Lack of standardized applications of bioinformatics and statistical approaches for pre- and postprocessing of global metabolomic profiling data sets collected using high-resolution mass spectrometry platforms remains an inadequately addressed issue in the field. Several publications now recognize that data analysis outcome variability is caused by different data treatment approaches. Yet, there is a lack of interlaboratory reproducibility studies that have looked at the contribution of data analysis techniques toward variability/overlap of results. The goal of our study was to identify the contribution of data pre- and postprocessing methods on metabolomics analysis results. We performed urinary metabolomics from samples obtained from mice exposed to 5 Gray of external beam gamma rays and those exposed to sham irradiation (control group). The data files were made available to study participants for comparative analysis using commonly used bioinformatics and/or biostatistics approaches in their laboratories. The participants were asked to report back the top 50 metabolites/features contributing significantly to the group differences. Herein we describe the outcome of this study which suggests that data preprocessing is critical in defining the outcome of untargeted metabolomic studies.
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Affiliation(s)
- Christoph W. Turck
- Max Planck Institute of Psychiatry, Kraepelinstr. 2, 80804 Munich, Germany;
| | - Tytus D Mak
- Mass Spectrometry Data Center, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, MD 20899, USA;
| | - Maryam Goudarzi
- Cardiovascular and Metabolic Sciences, Lerner Research Institute, The Cleveland Clinic Foundation, 9500 Euclid Ave, Cleveland, OH 44195, USA;
| | - Reza M Salek
- International Agency for Research on Cancer, 150 court Albert Thomas, 69372 Lyon CEDEX 08, France;
| | - Amrita K Cheema
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC 20057, USA
- Departments of Oncology and Biochemistry, Molecular and Cellular Biology, Georgetown University Medical Center, Washington, DC 20057, USA
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28
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Ko HG, Park DI, Lee JH, Turck CW, Kaang BK. Proteomic analysis of synaptic protein turnover in the anterior cingulate cortex after nerve injury. Mol Brain 2020; 13:19. [PMID: 32051001 PMCID: PMC7017499 DOI: 10.1186/s13041-020-0564-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Accepted: 02/03/2020] [Indexed: 01/15/2023] Open
Abstract
Synaptic proteins play an important role for the regulation of synaptic plasticity. Numerous studies have identified and revealed individual synaptic protein functions using protein overexpression or deletion. In neuropathic pain nociceptive stimuli conveyed from the periphery repetitively stimulate neurons in the central nerve system, brain and spinal cord. Neuronal activities change the turnover (synthesis and degradation) rate of synaptic proteins. Thus, the analysis of synaptic protein turnover rather than just expression level change is critical for studying the role of synaptic proteins in synaptic plasticity. Here, we analyzed synaptosomal proteome in the anterior cingulate cortex (ACC) to identify protein turnover rate changes caused by peripheral nerve injury. Whereas PKCγ levels were not altered, we found that the protein’s turnover rate decreased after peripheral nerve injury. Our results suggest that postsynaptic PKCγ synthesized by neuronal activities in the ACC is translocated to the postsynaptic membrane with an extended half-life.
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Affiliation(s)
- Hyoung-Gon Ko
- Department of Anatomy and Neurobiology, School of Dentistry, Kyungpook National University, 2177 Dalgubeol-daero, Daegu, 41940, South Korea.,Department of Biological Sciences, College of Natural Sciences, Seoul National University, 1 Gwanangno, Gwanak-gu, Seoul, 08826, South Korea
| | - Dong Ik Park
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Kraepelinstr. 2, D-80804, Munich, Germany
| | - Ji Hyun Lee
- Department of Anatomy and Neurobiology, School of Dentistry, Kyungpook National University, 2177 Dalgubeol-daero, Daegu, 41940, South Korea
| | - Christoph W Turck
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Kraepelinstr. 2, D-80804, Munich, Germany
| | - Bong-Kiun Kaang
- Department of Biological Sciences, College of Natural Sciences, Seoul National University, 1 Gwanangno, Gwanak-gu, Seoul, 08826, South Korea.
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29
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Joaquim HPG, Costa AC, Talib LL, Dethloff F, Serpa MH, Zanetti MV, van de Bilt M, Turck CW. Plasma Metabolite Profiles in First Episode Psychosis: Exploring Symptoms Heterogeneity/Severity in Schizophrenia and Bipolar Disorder Cohorts. Front Psychiatry 2020; 11:496. [PMID: 32581873 PMCID: PMC7290160 DOI: 10.3389/fpsyt.2020.00496] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Accepted: 05/15/2020] [Indexed: 12/14/2022] Open
Abstract
INTRODUCTION The first symptoms of psychosis are frequently shared amongst several neuropsychiatry disorders, which makes the differentiation by clinical diagnosis challenging. Early recognition of symptoms is important in the management of psychosis. Therefore, the implementation of molecular biomarkers will be crucial for transforming the currently used diagnostic and therapeutic approach, improving insights into the underlying biological processes and clinical management. OBJECTIVES To define a set of metabolites that supports diagnosis or prognosis of schizophrenia (SCZ) and bipolar disorder (BD) at first onset psychosis. METHODS Plasma samples from 55 drug-naïve patients, 28 SCZ and 27 BD, and 42 healthy controls (HC). All participants underwent a seminaturalistic treatment regimen, clinically evaluated on a weekly basis until achieving clinical remission. All clinical or sociodemographic aspects considered for this study were equivalent between the groups at first-onset psychosis time point. The plasma samples were analyzed by untargeted liquid chromatography-tandem mass spectrometry (LC-MS/MS) using reversed-phase and hydrophilic interaction chromatography. The acquired molecular features were analyzed with MetaboAnalyst. RESULTS We identified two patient groups with different metabolite profiles. Both groups are composed of SCZ and BD patients. We found differences between these two groups regarding general symptoms of PANSS score after remission (p = 0.008), and the improvement of general symptoms (delta of the score at remission minus the baseline) (-0.50 vs. -0.33, p = 0.019). CONCLUSION Our results suggest that plasma metabolite profiles cluster clinical remission phenotypes based on PANSS general psychopathology scores.
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Affiliation(s)
- Helena P G Joaquim
- Laboratory of Neuroscience LIM-27, Department and Institute of Psychiatry, University of Sao Paulo Medical School, Sao Paulo, Brazil.,Instituto Nacional de Biomarcadores em Neuropsiquiatria (INBioN), Conselho Nacional de Desenvolvimento Científico e Tecnológico, Sao Paulo, Brazil.,Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Alana C Costa
- Laboratory of Neuroscience LIM-27, Department and Institute of Psychiatry, University of Sao Paulo Medical School, Sao Paulo, Brazil.,Instituto Nacional de Biomarcadores em Neuropsiquiatria (INBioN), Conselho Nacional de Desenvolvimento Científico e Tecnológico, Sao Paulo, Brazil
| | - Leda L Talib
- Laboratory of Neuroscience LIM-27, Department and Institute of Psychiatry, University of Sao Paulo Medical School, Sao Paulo, Brazil.,Instituto Nacional de Biomarcadores em Neuropsiquiatria (INBioN), Conselho Nacional de Desenvolvimento Científico e Tecnológico, Sao Paulo, Brazil
| | - Frederik Dethloff
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Mauricio H Serpa
- Instituto Nacional de Biomarcadores em Neuropsiquiatria (INBioN), Conselho Nacional de Desenvolvimento Científico e Tecnológico, Sao Paulo, Brazil.,Laboratory of Psychiatric Neuroimaging LIM-21, Department and Institute of Psychiatry, University of Sao Paulo Medical School, Sao Paulo, Brazil
| | - Marcus V Zanetti
- Laboratory of Psychiatric Neuroimaging LIM-21, Department and Institute of Psychiatry, University of Sao Paulo Medical School, Sao Paulo, Brazil.,Hospital Sírio-Libanês, São Paulo, Brazil
| | - Martinus van de Bilt
- Laboratory of Neuroscience LIM-27, Department and Institute of Psychiatry, University of Sao Paulo Medical School, Sao Paulo, Brazil.,Instituto Nacional de Biomarcadores em Neuropsiquiatria (INBioN), Conselho Nacional de Desenvolvimento Científico e Tecnológico, Sao Paulo, Brazil
| | - Christoph W Turck
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
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30
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Dethloff F, Vargas F, Elijah E, Quinn R, Park DI, Herzog DP, Müller MB, Gentry EC, Knight R, Gonzalez A, Dorrestein PC, Turck CW. Paroxetine Administration Affects Microbiota and Bile Acid Levels in Mice. Front Psychiatry 2020; 11:518. [PMID: 32581888 PMCID: PMC7287167 DOI: 10.3389/fpsyt.2020.00518] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Accepted: 05/20/2020] [Indexed: 12/12/2022] Open
Abstract
Recent interest in the role of microbiota in health and disease has implicated gut microbiota dysbiosis in psychiatric disorders including major depressive disorder. Several antidepressant drugs that belong to the class of selective serotonin reuptake inhibitors have been found to display antimicrobial activities. In fact, one of the first antidepressants discovered serendipitously in the 1950s, the monoamine-oxidase inhibitor Iproniazid, was a drug used for the treatment of tuberculosis. In the current study we chronically treated DBA/2J mice for 2 weeks with paroxetine, a selective serotonin reuptake inhibitor, and collected fecal pellets as a proxy for the gut microbiota from the animals after 7 and 14 days. Behavioral testing with the forced swim test revealed significant differences between paroxetine- and vehicle-treated mice. Untargeted mass spectrometry and 16S rRNA profiling of fecal pellet extracts showed several primary and secondary bile acid level, and microbiota alpha diversity differences, respectively between paroxetine- and vehicle-treated mice, suggesting that microbiota functions are altered by the drug. In addition to their lipid absorbing activities bile acids have important signaling activities and have been associated with gastrointestinal diseases and colorectal cancer. Antidepressant drugs like paroxetine should therefore be used with caution to prevent undesirable side effects.
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Affiliation(s)
- Frederik Dethloff
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Fernando Vargas
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA , United States.,Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, United States.,Division of Biological Science, University of California, San Diego, La Jolla, CA, United States
| | - Emmanuel Elijah
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA , United States.,Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, United States
| | - Robert Quinn
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA , United States.,Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, United States
| | - Dong Ik Park
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - David P Herzog
- Laboratory of Translational Psychiatry, Department of Psychiatry and Psychotherapy & Focus Program Translational Neuroscience, Johannes Gutenberg University Medical Center, Mainz, Germany
| | - Marianne B Müller
- Laboratory of Translational Psychiatry, Department of Psychiatry and Psychotherapy & Focus Program Translational Neuroscience, Johannes Gutenberg University Medical Center, Mainz, Germany
| | - Emily C Gentry
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA , United States.,Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, United States
| | - Rob Knight
- Department of Pediatrics, Bioengineering and Computer Science and Engineering, and Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA, United States
| | - Antonio Gonzalez
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, United States
| | - Pieter C Dorrestein
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA , United States.,Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, United States
| | - Christoph W Turck
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
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31
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Misiewicz Z, Iurato S, Kulesskaya N, Salminen L, Rodrigues L, Maccarrone G, Martins J, Czamara D, Laine MA, Sokolowska E, Trontti K, Rewerts C, Novak B, Volk N, Park DI, Jokitalo E, Paulin L, Auvinen P, Voikar V, Chen A, Erhardt A, Turck CW, Hovatta I. Multi-omics analysis identifies mitochondrial pathways associated with anxiety-related behavior. PLoS Genet 2019; 15:e1008358. [PMID: 31557158 PMCID: PMC6762065 DOI: 10.1371/journal.pgen.1008358] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Accepted: 08/08/2019] [Indexed: 01/10/2023] Open
Abstract
Stressful life events are major environmental risk factors for anxiety disorders, although not all individuals exposed to stress develop clinical anxiety. The molecular mechanisms underlying the influence of environmental effects on anxiety are largely unknown. To identify biological pathways mediating stress-related anxiety and resilience to it, we used the chronic social defeat stress (CSDS) paradigm in male mice of two inbred strains, C57BL/6NCrl (B6) and DBA/2NCrl (D2), that differ in their susceptibility to stress. Using a multi-omics approach, we identified differential mRNA, miRNA and protein expression changes in the bed nucleus of the stria terminalis (BNST) and blood cells after chronic stress. Integrative gene set enrichment analysis revealed enrichment of mitochondrial-related genes in the BNST and blood of stressed mice. To translate these results to human anxiety, we investigated blood gene expression changes associated with exposure-induced panic attacks. Remarkably, we found reduced expression of mitochondrial-related genes in D2 stress-susceptible mice and in exposure-induced panic attacks in humans, but increased expression of these genes in B6 stress-susceptible mice. Moreover, stress-susceptible vs. stress-resilient B6 mice displayed more mitochondrial cross-sections in the post-synaptic compartment after CSDS. Our findings demonstrate mitochondrial-related alterations in gene expression as an evolutionarily conserved response in stress-related behaviors and validate the use of cross-species approaches in investigating the biological mechanisms underlying anxiety disorders.
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Affiliation(s)
- Zuzanna Misiewicz
- Molecular and Integrative Biosciences Research Program, University of Helsinki, Helsinki, Finland
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
- Department of Psychology and Logopedics, Medicum, University of Helsinki, Helsinki, Finland
| | - Stella Iurato
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Natalia Kulesskaya
- Molecular and Integrative Biosciences Research Program, University of Helsinki, Helsinki, Finland
- Department of Psychology and Logopedics, Medicum, University of Helsinki, Helsinki, Finland
| | - Laura Salminen
- Molecular and Integrative Biosciences Research Program, University of Helsinki, Helsinki, Finland
| | - Luis Rodrigues
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Giuseppina Maccarrone
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Jade Martins
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Darina Czamara
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Mikaela A. Laine
- Molecular and Integrative Biosciences Research Program, University of Helsinki, Helsinki, Finland
- Department of Psychology and Logopedics, Medicum, University of Helsinki, Helsinki, Finland
| | - Ewa Sokolowska
- Molecular and Integrative Biosciences Research Program, University of Helsinki, Helsinki, Finland
| | - Kalevi Trontti
- Molecular and Integrative Biosciences Research Program, University of Helsinki, Helsinki, Finland
- Department of Psychology and Logopedics, Medicum, University of Helsinki, Helsinki, Finland
| | - Christiane Rewerts
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Bozidar Novak
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Naama Volk
- Department of Neurobiology, Weizmann Institute of Science, Rehovot, Israel
| | - Dong Ik Park
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Eija Jokitalo
- Electron Microscopy Unit, Institute of Biotechnology, University of Helsinki, Helsinki, Finland
| | - Lars Paulin
- Institute of Biotechnology, University of Helsinki, Helsinki, Finland
| | - Petri Auvinen
- Institute of Biotechnology, University of Helsinki, Helsinki, Finland
| | - Vootele Voikar
- Neuroscience Center, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
| | - Alon Chen
- Department of Neurobiology, Weizmann Institute of Science, Rehovot, Israel
- Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany
| | - Angelika Erhardt
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
- * E-mail: (AE); (CWT); (IH)
| | - Christoph W. Turck
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
- * E-mail: (AE); (CWT); (IH)
| | - Iiris Hovatta
- Molecular and Integrative Biosciences Research Program, University of Helsinki, Helsinki, Finland
- Department of Psychology and Logopedics, Medicum, University of Helsinki, Helsinki, Finland
- * E-mail: (AE); (CWT); (IH)
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32
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Ko HG, Choi JH, Park DI, Kang SJ, Lim CS, Sim SE, Shim J, Kim JI, Kim S, Choi TH, Ye S, Lee J, Park P, Kim S, Do J, Park J, Islam MA, Kim HJ, Turck CW, Collingridge GL, Zhuo M, Kaang BK. Rapid Turnover of Cortical NCAM1 Regulates Synaptic Reorganization after Peripheral Nerve Injury. Cell Rep 2019; 22:748-759. [PMID: 29346771 DOI: 10.1016/j.celrep.2017.12.059] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2017] [Revised: 11/27/2017] [Accepted: 12/17/2017] [Indexed: 11/24/2022] Open
Abstract
Peripheral nerve injury can induce pathological conditions that lead to persistent sensitized nociception. Although there is evidence that plastic changes in the cortex contribute to this process, the underlying molecular mechanisms are unclear. Here, we find that activation of the anterior cingulate cortex (ACC) induced by peripheral nerve injury increases the turnover of specific synaptic proteins in a persistent manner. We demonstrate that neural cell adhesion molecule 1 (NCAM1) is one of the molecules involved and show that it mediates spine reorganization and contributes to the behavioral sensitization. We show striking parallels in the underlying mechanism with the maintenance of NMDA-receptor- and protein-synthesis-dependent long-term potentiation (LTP) in the ACC. Our results, therefore, demonstrate a synaptic mechanism for cortical reorganization and suggest potential avenues for neuropathic pain treatment.
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Affiliation(s)
- Hyoung-Gon Ko
- School of Biological Sciences, Seoul National University, 1 Gwanangno, Gwanak-gu, Seoul 08826, South Korea; Center for Neuron and Disease, Frontier Institutes of Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China
| | - Jun-Hyeok Choi
- School of Biological Sciences, Seoul National University, 1 Gwanangno, Gwanak-gu, Seoul 08826, South Korea
| | - Dong Ik Park
- Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, Kraepelinstr. 2, 80804 Munich, Germany
| | - SukJae Joshua Kang
- School of Biological Sciences, Seoul National University, 1 Gwanangno, Gwanak-gu, Seoul 08826, South Korea
| | - Chae-Seok Lim
- School of Biological Sciences, Seoul National University, 1 Gwanangno, Gwanak-gu, Seoul 08826, South Korea
| | - Su-Eon Sim
- School of Biological Sciences, Seoul National University, 1 Gwanangno, Gwanak-gu, Seoul 08826, South Korea
| | - Jaehoon Shim
- School of Biological Sciences, Seoul National University, 1 Gwanangno, Gwanak-gu, Seoul 08826, South Korea
| | - Ji-Il Kim
- School of Biological Sciences, Seoul National University, 1 Gwanangno, Gwanak-gu, Seoul 08826, South Korea
| | - Siyong Kim
- School of Biological Sciences, Seoul National University, 1 Gwanangno, Gwanak-gu, Seoul 08826, South Korea
| | - Tae-Hyeok Choi
- School of Biological Sciences, Seoul National University, 1 Gwanangno, Gwanak-gu, Seoul 08826, South Korea
| | - Sanghyun Ye
- School of Biological Sciences, Seoul National University, 1 Gwanangno, Gwanak-gu, Seoul 08826, South Korea
| | - Jaehyun Lee
- School of Biological Sciences, Seoul National University, 1 Gwanangno, Gwanak-gu, Seoul 08826, South Korea
| | - Pojeong Park
- School of Biological Sciences, Seoul National University, 1 Gwanangno, Gwanak-gu, Seoul 08826, South Korea
| | - Somi Kim
- School of Biological Sciences, Seoul National University, 1 Gwanangno, Gwanak-gu, Seoul 08826, South Korea
| | - Jeehaeh Do
- School of Biological Sciences, Seoul National University, 1 Gwanangno, Gwanak-gu, Seoul 08826, South Korea
| | - Jihye Park
- School of Biological Sciences, Seoul National University, 1 Gwanangno, Gwanak-gu, Seoul 08826, South Korea
| | - Md Ariful Islam
- School of Biological Sciences, Seoul National University, 1 Gwanangno, Gwanak-gu, Seoul 08826, South Korea
| | - Hyun Jeong Kim
- Department of Dental Anesthesiology and Dental Research Institute, School of Dentistry, Seoul National University, Seoul 03080, South Korea
| | - Christoph W Turck
- Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, Kraepelinstr. 2, 80804 Munich, Germany
| | - Graham L Collingridge
- Centre for Synaptic Plasticity, School of Physiology, Pharmacology & Neuroscience, University of Bristol, Bristol BS8 1TD, UK; Department of Physiology, Faculty of Medicine, University of Toronto, 1 King's College Circle, Toronto, ON M5S 1A8, Canada; Center for Neuron and Disease, Frontier Institutes of Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China; Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada.
| | - Min Zhuo
- Department of Physiology, Faculty of Medicine, University of Toronto, 1 King's College Circle, Toronto, ON M5S 1A8, Canada; Center for Neuron and Disease, Frontier Institutes of Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China.
| | - Bong-Kiun Kaang
- School of Biological Sciences, Seoul National University, 1 Gwanangno, Gwanak-gu, Seoul 08826, South Korea; Center for Neuron and Disease, Frontier Institutes of Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China.
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Ising M, Maccarrone G, Brückl T, Scheuer S, Hennings J, Holsboer F, Turck CW, Uhr M, Lucae S. FKBP5 Gene Expression Predicts Antidepressant Treatment Outcome in Depression. Int J Mol Sci 2019; 20:ijms20030485. [PMID: 30678080 PMCID: PMC6387218 DOI: 10.3390/ijms20030485] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2018] [Revised: 01/13/2019] [Accepted: 01/20/2019] [Indexed: 12/12/2022] Open
Abstract
Adverse experiences and chronic stress are well-known risk factors for the development of major depression, and an impaired stress response regulation is frequently observed in acute depression. Impaired glucocorticoid receptor (GR) signalling plays an important role in these alterations, and a restoration of GR signalling appears to be a prerequisite of successful antidepressant treatment. Variants in genes of the stress response regulation contribute to the vulnerability to depression in traumatized subjects. Consistent findings point to an important role of FKBP5, the gene expressing FK506-binding protein 51 (FKBP51), which is a strong inhibitor of the GR, and thus, an important regulator of the stress response. We investigated the role of FKBP5 and FKB51 expression with respect to stress response regulation and antidepressant treatment outcome in depressed patients. This study included 297 inpatients, who participated in the Munich Antidepressant Response Signature (MARS) project and were treated for acute depression. In this open-label study, patients received antidepressant treatment according to the attending doctor’s choice. In addition to the FKBP5 genotype, changes in blood FKBP51 expression during antidepressant treatment were analyzed using RT-PCR and ZeptoMARKTM reverse phase protein microarray (RPPM). Stress response regulation was evaluated in a subgroup of patients using the combined dexamethasone (dex)/corticotropin releasing hormone (CRH) test. As expected, increased FKBP51 expression was associated with an impaired stress response regulation at baseline and after six weeks was accompanied by an elevated cortisol response to the combined dex/CRH test. Further, we demonstrated an active involvement of FKBP51 in antidepressant treatment outcome. While patients responding to antidepressant treatment had a pronounced reduction of FKBP5 gene and FKBP51 protein expression, increasing expression levels were observed in nonresponders. This effect was moderated by the genotype of the FKBP5 single nucleotide polymorphism (SNP) rs1360780, with carriers of the minor allele showing the most pronounced association. Our findings demonstrate that FKBP5 and, specifically, its expression product FKBP51 are important modulators of antidepressant treatment outcome, pointing to a new, promising target for future antidepressant drug development.
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Affiliation(s)
- Marcus Ising
- Max Planck Institute of Psychiatry, 80804 Munich, Germany.
| | | | - Tanja Brückl
- Max Planck Institute of Psychiatry, 80804 Munich, Germany.
| | - Sandra Scheuer
- Max Planck Institute of Psychiatry, 80804 Munich, Germany.
| | | | - Florian Holsboer
- Max Planck Institute of Psychiatry, 80804 Munich, Germany.
- HMNC Brain Health GmbH, 80807 Munich, Germany.
| | | | - Manfred Uhr
- Max Planck Institute of Psychiatry, 80804 Munich, Germany.
| | - Susanne Lucae
- Max Planck Institute of Psychiatry, 80804 Munich, Germany.
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34
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Abstract
High comorbidity and complexity have precluded reliable diagnostic assessment and treatment of psychiatric disorders. Impaired molecular interactions may be relevant for underlying mechanisms of psychiatric disorders but by and large remain unknown. With the help of a number of publicly available databases and various technological tools, recent research has filled the paucity of information by generating a novel dataset of psychiatric interactomes. Different technological platforms including yeast two-hybrid screen, co-immunoprecipitation-coupled with mass spectrometry-based proteomics, and transcriptomics have been widely used in combination with cellular and molecular techniques to interrogate the psychiatric interactome. Novel molecular interactions have been identified in association with different psychiatric disorders including autism spectrum disorders, schizophrenia, bipolar disorder, and major depressive disorder. However, more extensive and sophisticated interactome research needs to be conducted to overcome the current limitations such as incomplete interactome databases and a lack of functional information among components. Ultimately, integrated psychiatric interactome databases will contribute to the implementation of biomarkers and therapeutic intervention.
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Affiliation(s)
- Dong Ik Park
- Danish Research Institute of Translational Neuroscience (DANDRITE), Department of Biomedicine, Aarhus University, Aarhus, Denmark.
| | - Christoph W Turck
- Proteomics and Biomarkers, Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
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35
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Papadopoulou Z, Vlaikou AM, Theodoridou D, Markopoulos GS, Tsoni K, Agakidou E, Drosou-Agakidou V, Turck CW, Filiou MD, Syrrou M. Stressful Newborn Memories: Pre-Conceptual, In Utero, and Postnatal Events. Front Psychiatry 2019; 10:220. [PMID: 31057437 PMCID: PMC6482218 DOI: 10.3389/fpsyt.2019.00220] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2018] [Accepted: 03/26/2019] [Indexed: 12/15/2022] Open
Abstract
Early-life stressful experiences are critical for plasticity and development, shaping adult neuroendocrine response and future health. Stress response is mediated by the autonomous nervous system and the hypothalamic-pituitary-adrenal (HPA) axis while various environmental stimuli are encoded via epigenetic marks. The stress response system maintains homeostasis by regulating adaptation to the environmental changes. Pre-conceptual and in utero stressors form the fetal epigenetic profile together with the individual genetic profile, providing the background for individual stress response, vulnerability, or resilience. Postnatal and adult stressful experiences may act as the definitive switch. This review addresses the issue of how preconceptual in utero and postnatal events, together with individual differences, shape future stress responses. Putative markers of early-life adverse effects such as prematurity and low birth weight are emphasized, and the epigenetic, mitochondrial, and genomic architecture regulation of such events are discussed.
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Affiliation(s)
- Zoe Papadopoulou
- Laboratory of Biology, Faculty of Medicine, School of Health Sciences, University of Ioannina, Ioannina, Greece
| | - Angeliki-Maria Vlaikou
- Laboratory of Biology, Faculty of Medicine, School of Health Sciences, University of Ioannina, Ioannina, Greece.,Laboratory of Biochemistry, Department of Biological Applications and Technology, School of Health Sciences, University of Ioannina, Ioannina, Greece
| | - Daniela Theodoridou
- Laboratory of Biology, Faculty of Medicine, School of Health Sciences, University of Ioannina, Ioannina, Greece
| | - Georgios S Markopoulos
- Laboratory of Biology, Faculty of Medicine, School of Health Sciences, University of Ioannina, Ioannina, Greece
| | - Konstantina Tsoni
- 1st Department of Neonatology and Neonatal Intensive Care Unit, Medical Faculty, Aristotle University School of Health Sciences, Thessaloniki, Greece
| | - Eleni Agakidou
- 1st Department of Neonatology and Neonatal Intensive Care Unit, Medical Faculty, Aristotle University School of Health Sciences, Thessaloniki, Greece
| | - Vasiliki Drosou-Agakidou
- 1st Department of Neonatology and Neonatal Intensive Care Unit, Medical Faculty, Aristotle University School of Health Sciences, Thessaloniki, Greece
| | | | - Michaela D Filiou
- Laboratory of Biochemistry, Department of Biological Applications and Technology, School of Health Sciences, University of Ioannina, Ioannina, Greece.,Max Planck Institute of Psychiatry, Munich, Germany
| | - Maria Syrrou
- Laboratory of Biology, Faculty of Medicine, School of Health Sciences, University of Ioannina, Ioannina, Greece
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36
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Weckmann K, Deery MJ, Howard JA, Feret R, Asara JM, Dethloff F, Filiou MD, Labermaier C, Maccarrone G, Lilley KS, Mueller M, Turck CW. Ketamine's Effects on the Glutamatergic and GABAergic Systems: A Proteomics and Metabolomics Study in Mice. Mol Neuropsychiatry 2018; 5:42-51. [PMID: 31019917 DOI: 10.1159/000493425] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/02/2018] [Accepted: 08/31/2018] [Indexed: 12/15/2022]
Abstract
Ketamine, a noncompetitive, voltage-dependent N-Methyl-D-aspartate receptor (NMDAR) antagonist, has been shown to have a rapid antidepressant effect and is used for patients experiencing treatment-resistant depression. We carried out a time-dependent targeted mass spectrometry-based metabolomics profiling analysis combined with a quantitative based on in vivo 15N metabolic labeling proteome comparison of ketamine- and vehicle-treated mice. The metabolomics and proteomics datasets were used to further elucidate ketamine's mode of action on the gamma-aminobutyric acid (GABA)ergic and glutamatergic systems. In addition, myelin basic protein levels were analyzed by Western Blot. We found altered GABA, glutamate and glutamine metabolite levels and ratios as well as increased levels of putrescine and serine - 2 positive modulators of the NMDAR. In addition, GABA receptor (GABAR) protein levels were reduced, whereas the alpha-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptor (AMPAR) subunit Gria2 protein levels were increased upon ketamine treatment. The significantly altered metabolite and protein levels further significantly correlated with the antidepressant-like behavior, which was assessed using the forced swim test. In conclusion and in line with previous research, our data indicate that ketamine impacts the AMPAR subunit Gria2 and results in decreased GABAergic inhibitory neurotransmission leading to increased excitatory neuronal activity.
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Affiliation(s)
- Katja Weckmann
- Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, Munich, Germany.,Institute for Pathobiochemistry, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Michael J Deery
- Cambridge Centre for Proteomics, Cambridge System Biology Centre, University of Cambridge, Cambridge, United Kingdom
| | - Julie A Howard
- Cambridge Centre for Proteomics, Cambridge System Biology Centre, University of Cambridge, Cambridge, United Kingdom
| | - Renata Feret
- Cambridge Centre for Proteomics, Cambridge System Biology Centre, University of Cambridge, Cambridge, United Kingdom
| | - John M Asara
- Division of Signal Transduction, Beth Israel Deaconess Medical Center and Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Frederik Dethloff
- Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, Munich, Germany
| | - Michaela D Filiou
- Department of Biological Applications and Technology, School of Health Sciences, University of Ioannina, Ioannina, Greece
| | - Christiana Labermaier
- Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, Munich, Germany
| | - Giuseppina Maccarrone
- Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, Munich, Germany
| | - Kathryn S Lilley
- Cambridge Centre for Proteomics, Cambridge System Biology Centre, University of Cambridge, Cambridge, United Kingdom
| | - Marianne Mueller
- Experimental Psychiatry, Department of Psychiatry and Psychotherapy and Focus Program Translational Neuroscience, Johannes Gutenberg University Medical Center, Mainz, Germany
| | - Christoph W Turck
- Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, Munich, Germany
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37
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Weckmann K, Diefenthäler P, Baeken MW, Yusifli K, Turck CW, Asara JM, Behl C, Hajieva P. Author Correction: Metabolomics profiling reveals differential adaptation of major energy metabolism pathways associated with autophagy upon oxygen and glucose reduction. Sci Rep 2018; 8:12235. [PMID: 30093650 PMCID: PMC6085301 DOI: 10.1038/s41598-018-28914-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Affiliation(s)
- Katja Weckmann
- Institute of Pathobiochemistry, Johannes Gutenberg University, Medical School, Duesbergweg 6, 55099, Mainz, Germany
| | - Philip Diefenthäler
- Institute of Pathobiochemistry, Johannes Gutenberg University, Medical School, Duesbergweg 6, 55099, Mainz, Germany
| | - Marius W Baeken
- Institute of Pathobiochemistry, Johannes Gutenberg University, Medical School, Duesbergweg 6, 55099, Mainz, Germany
| | - Kamran Yusifli
- Institute of Pathobiochemistry, Johannes Gutenberg University, Medical School, Duesbergweg 6, 55099, Mainz, Germany
| | - Christoph W Turck
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Kraepelinstr. 2-10, 80804, Munich, Germany
| | - John M Asara
- Division of Signal Transduction/Mass Spectrometry Core, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA and Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Christian Behl
- Institute of Pathobiochemistry, Johannes Gutenberg University, Medical School, Duesbergweg 6, 55099, Mainz, Germany
| | - Parvana Hajieva
- Institute of Pathobiochemistry, Johannes Gutenberg University, Medical School, Duesbergweg 6, 55099, Mainz, Germany.
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38
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Dethloff F, Bueschl C, Heumann H, Schuhmacher R, Turck CW. Partially 13C-labeled mouse tissue as reference for LC-MS based untargeted metabolomics. Anal Biochem 2018; 556:63-69. [PMID: 29958846 DOI: 10.1016/j.ab.2018.06.023] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2018] [Revised: 06/20/2018] [Accepted: 06/22/2018] [Indexed: 12/28/2022]
Abstract
The inclusion of stable isotope-labeled reference standards in the sample is an established method for the detection and relative quantification of metabolic features in untargeted metabolomics. In order to quantify as many metabolites as possible, the reference should ideally include the same metabolites in their stable isotope-labeled form as the sample under investigation. We present here an attempt to use partially 13C-labeled mouse material as internal standard for relative metabolite quantification of mouse and human samples in untargeted metabolomics. We fed mice for 14 days with a13C-labeled Ralstonia eutropha based diet. Tissue and blood amino acids from these mice showed 13C enrichment levels that ranged from 6% to 75%. We used MetExtract II software to automatically detect native and labeled peak pairs in an untargeted manner. In a dilution series and with the implementation of a correction factor, partially 13C-labeled mouse plasma resulted in accurate relative quantification of human plasma amino acids using liquid chromatography coupled to mass spectrometry, The coefficient of variation for the relative quantification is reduced from 27% without internal standard to 10% with inclusion of partially 13C-labeled internal standard. We anticipate the method to be of general use for the relative metabolite quantification of human specimens.
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Affiliation(s)
- Frederik Dethloff
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Christoph Bueschl
- Center for Analytical Chemistry, Department of Agrobiotechnology (IFA-Tulln), University of Natural Resources and Life Sciences, Vienna (BOKU), Austria
| | | | - Rainer Schuhmacher
- Center for Analytical Chemistry, Department of Agrobiotechnology (IFA-Tulln), University of Natural Resources and Life Sciences, Vienna (BOKU), Austria.
| | - Christoph W Turck
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany.
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39
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Golub MS, Hogrefe CE, Sherwood RJ, Turck CW. Fluoxetine Administration in Juvenile Monkeys: Implications for Pharmacotherapy in Children. Front Pediatr 2018; 6:21. [PMID: 29473029 PMCID: PMC5809484 DOI: 10.3389/fped.2018.00021] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2017] [Accepted: 01/22/2018] [Indexed: 02/03/2023] Open
Abstract
Fluoxetine therapy has been approved for children with major depressive disorder and obsessive compulsive disorder for over 14 years and has expanded to other childhood behavior disorders. As use increases, more detail on fluoxetine effects during juvenile brain development can help maintain safe and effective use of this therapy. Here, a narrative review is provided of previously published findings from a large nonhuman primate project. Fluoxetine was administered to juvenile male rhesus monkeys for an extended period (2 years) prior to puberty. Compared to controls, treated monkeys showed sleep disruption, facilitated social interaction, greater impulsivity, and impaired sustained attention during treatment. No effects on growth were seen. Metabolomics assays characterized a distinctive response to fluoxetine and demonstrated individual differences that were related to the impulsivity measure. Fluoxetine interactions with monoamine oxidase A polymorphisms that influenced behavior and metabolomics markers were an important, previously unrecognized finding of our studies. After treatment was discontinued, some behavioral effects persisted, but short-term memory and cognitive flexibility testing did not show drug effects. This detailed experimental work can contribute to clinical research and continued safe and effective fluoxetine pharmacotherapy in children.
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Affiliation(s)
- Mari S Golub
- California National Primate Research Center, University of California, Davis, Davis, CA, United States
| | - Casey E Hogrefe
- California National Primate Research Center, University of California, Davis, Davis, CA, United States
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40
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Weckmann K, Deery MJ, Howard JA, Feret R, Asara JM, Dethloff F, Filiou MD, Iannace J, Labermaier C, Maccarrone G, Webhofer C, Teplytska L, Lilley K, Müller MB, Turck CW. Ketamine's antidepressant effect is mediated by energy metabolism and antioxidant defense system. Sci Rep 2017; 7:15788. [PMID: 29150633 PMCID: PMC5694011 DOI: 10.1038/s41598-017-16183-x] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2017] [Accepted: 11/08/2017] [Indexed: 01/23/2023] Open
Abstract
Fewer than 50% of all patients with major depressive disorder (MDD) treated with currently available antidepressants (ADs) show full remission. Moreover, about one third of the patients suffering from MDD does not respond to conventional ADs and develop treatment-resistant depression (TRD). Ketamine, a non-competitive, voltage-dependent N-Methyl-D-aspartate receptor (NMDAR) antagonist, has been shown to have a rapid antidepressant effect, especially in patients suffering from TRD. Hippocampi of ketamine-treated mice were analysed by metabolome and proteome profiling to delineate ketamine treatment-affected molecular pathways and biosignatures. Our data implicate mitochondrial energy metabolism and the antioxidant defense system as downstream effectors of the ketamine response. Specifically, ketamine tended to downregulate the adenosine triphosphate (ATP)/adenosine diphosphate (ADP) metabolite ratio which strongly correlated with forced swim test (FST) floating time. Furthermore, we found increased levels of enzymes that are part of the ‘oxidative phosphorylation’ (OXPHOS) pathway. Our study also suggests that ketamine causes less protein damage by rapidly decreasing reactive oxygen species (ROS) production and lend further support to the hypothesis that mitochondria have a critical role for mediating antidepressant action including the rapid ketamine response.
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Affiliation(s)
- Katja Weckmann
- Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, Munich, Germany.,Institute of Pathobiochemistry, Johannes Gutenberg University, Medical School, Mainz, Germany
| | - Michael J Deery
- Cambridge Centre for Proteomics, Cambridge System Biology Centre, University of Cambridge, Cambridge, UK
| | - Julie A Howard
- Cambridge Centre for Proteomics, Cambridge System Biology Centre, University of Cambridge, Cambridge, UK
| | - Renata Feret
- Cambridge Centre for Proteomics, Cambridge System Biology Centre, University of Cambridge, Cambridge, UK
| | - John M Asara
- Division of Signal Transduction, Beth Israel Deaconess Medical Center and Department of Medicine, Harvard Medical School, Boston, USA
| | - Frederik Dethloff
- Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, Munich, Germany
| | - Michaela D Filiou
- Max Planck Institute of Psychiatry, Department of Stress Neurobiology and Neurogenetics, Munich, Germany
| | - Jamie Iannace
- Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, Munich, Germany
| | - Christiana Labermaier
- Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, Munich, Germany
| | - Giuseppina Maccarrone
- Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, Munich, Germany
| | - Christian Webhofer
- Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, Munich, Germany
| | - Larysa Teplytska
- Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, Munich, Germany
| | - Kathryn Lilley
- Cambridge Centre for Proteomics, Cambridge System Biology Centre, University of Cambridge, Cambridge, UK
| | - Marianne B Müller
- Experimental Psychiatry, Department of Psychiatry and Psychotherapy & Focus Program Translational Neuroscience, Johannes Gutenberg University Medical Center, Mainz, Germany.
| | - Christoph W Turck
- Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, Munich, Germany.
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41
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Turck CW, Guest PC, Maccarrone G, Ising M, Kloiber S, Lucae S, Holsboer F, Martins-de-Souza D. Proteomic Differences in Blood Plasma Associated with Antidepressant Treatment Response. Front Mol Neurosci 2017; 10:272. [PMID: 28912679 PMCID: PMC5583163 DOI: 10.3389/fnmol.2017.00272] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2017] [Accepted: 08/11/2017] [Indexed: 01/20/2023] Open
Abstract
The current inability of clinical psychiatry to objectively select the most appropriate treatment is a major factor contributing to the severity and clinical burden of major depressive disorder (MDD). Here, we have attempted to identify plasma protein signatures in 39 MDD patients to predict response over a 6-week treatment period with antidepressants. LC-MS/MS analysis showed that differences in the levels of 29 proteins at baseline were found in the group with a favorable treatment outcome. Most of these proteins were components of metabolism or immune response pathways as well as multiple components of the coagulation cascade. After 6 weeks of treatment, 43 proteins were altered in responders of which 2 (alpha-actinin and nardilysin) had been identified at baseline. In addition, 46 proteins were altered in non-responders and 9 of these (alpha-actinin, alpha-2-macroglobulin, apolipoprotein B-100, attractin, C-reactive protein, fibrinogen alpha chain, fibrinogen beta chain, nardilysin and serine/threonine-protein kinase Chk1) had been identified at baseline. However, it should be stressed that the small sample size precludes generalization of the main results. Further studies to validate these as potential biomarkers of antidepressant treatment response are warranted considering the potential importance to the field of psychiatric disorders. This study provides the groundwork for development of novel objective clinical tests that can help psychiatrists in the clinical management of MDD through improved prediction and monitoring of patient responses to antidepressant treatments.
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Affiliation(s)
| | - Paul C Guest
- Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of CampinasCampinas, Brazil
| | | | - Marcus Ising
- Max Planck Institute of PsychiatryMunich, Germany
| | - Stefan Kloiber
- Max Planck Institute of PsychiatryMunich, Germany.,Centre for Addiction and Mental HealthToronto, ON, Canada.,Department of Psychiatry, University of TorontoToronto, ON, Canada
| | | | - Florian Holsboer
- Max Planck Institute of PsychiatryMunich, Germany.,HMNC GmbHMunich, Germany
| | - Daniel Martins-de-Souza
- Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of CampinasCampinas, Brazil.,Neurobiology Center, University of CampinasCampinas, Brazil
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42
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Lopes S, Teplytska L, Vaz-Silva J, Dioli C, Trindade R, Morais M, Webhofer C, Maccarrone G, Almeida OFX, Turck CW, Sousa N, Sotiropoulos I, Filiou MD. Tau Deletion Prevents Stress-Induced Dendritic Atrophy in Prefrontal Cortex: Role of Synaptic Mitochondria. Cereb Cortex 2017; 27:2580-2591. [PMID: 27073221 DOI: 10.1093/cercor/bhw057] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Tau protein in dendrites and synapses has been recently implicated in synaptic degeneration and neuronal malfunction. Chronic stress, a well-known inducer of neuronal/synaptic atrophy, triggers hyperphosphorylation of Tau protein and cognitive deficits. However, the cause-effect relationship between these events remains to be established. To test the involvement of Tau in stress-induced impairments of cognition, we investigated the impact of stress on cognitive behavior, neuronal structure, and the synaptic proteome in the prefrontal cortex (PFC) of Tau knock-out (Tau-KO) and wild-type (WT) mice. Whereas exposure to chronic stress resulted in atrophy of apical dendrites and spine loss in PFC neurons as well as significant impairments in working memory in WT mice, such changes were absent in Tau-KO animals. Quantitative proteomic analysis of PFC synaptosomal fractions, combined with transmission electron microscopy analysis, suggested a prominent role for mitochondria in the regulation of the effects of stress. Specifically, chronically stressed animals exhibit Tau-dependent alterations in the levels of proteins involved in mitochondrial transport and oxidative phosphorylation as well as in the synaptic localization of mitochondria in PFC. These findings provide evidence for a causal role of Tau in mediating stress-elicited neuronal atrophy and cognitive impairment and indicate that Tau may exert its effects through synaptic mitochondria.
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Affiliation(s)
- Sofia Lopes
- Life and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, 4710-057 Braga, Portugal.,ICVS/3B's-PT Government Associate Laboratory, Braga/Guimarães 4710-057, Portugal
| | | | - Joao Vaz-Silva
- Life and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, 4710-057 Braga, Portugal.,ICVS/3B's-PT Government Associate Laboratory, Braga/Guimarães 4710-057, Portugal
| | - Chrysoula Dioli
- Life and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, 4710-057 Braga, Portugal.,ICVS/3B's-PT Government Associate Laboratory, Braga/Guimarães 4710-057, Portugal
| | - Rita Trindade
- Life and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, 4710-057 Braga, Portugal.,ICVS/3B's-PT Government Associate Laboratory, Braga/Guimarães 4710-057, Portugal
| | - Monica Morais
- Life and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, 4710-057 Braga, Portugal.,ICVS/3B's-PT Government Associate Laboratory, Braga/Guimarães 4710-057, Portugal
| | - Christian Webhofer
- Max Planck Institute of Psychiatry, 80804 Munich, Germany.,Current address: Sandoz Biopharmaceuticals, 82041 Oberhaching, Germany
| | | | | | | | - Nuno Sousa
- Life and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, 4710-057 Braga, Portugal.,ICVS/3B's-PT Government Associate Laboratory, Braga/Guimarães 4710-057, Portugal
| | - Ioannis Sotiropoulos
- Life and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, 4710-057 Braga, Portugal.,ICVS/3B's-PT Government Associate Laboratory, Braga/Guimarães 4710-057, Portugal
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Park DI, Dournes C, Sillaber I, Ising M, Asara JM, Webhofer C, Filiou MD, Müller MB, Turck CW. Delineation of molecular pathway activities of the chronic antidepressant treatment response suggests important roles for glutamatergic and ubiquitin-proteasome systems. Transl Psychiatry 2017; 7:e1078. [PMID: 28375208 PMCID: PMC5416684 DOI: 10.1038/tp.2017.39] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2016] [Revised: 12/28/2016] [Accepted: 01/17/2017] [Indexed: 12/11/2022] Open
Abstract
The aim of this study was to identify molecular pathways related to antidepressant response. We administered paroxetine to the DBA/2J mice for 28 days. Following the treatment, the mice were grouped into responders or non-responders depending on the time they spent immobile in the forced swim test. Hippocampal metabolomics and proteomics analyses revealed that chronic paroxetine treatment affects glutamate-related metabolite and protein levels differentially in the two groups. We found significant differences in the expression of N-methyl-d-aspartate receptor and neuronal nitric oxide synthase proteins between the two groups, without any significant alterations in the respective transcript levels. In addition, we found that chronic paroxetine treatment altered the levels of proteins associated with the ubiquitin-proteasome system (UPS). The soluble guanylate cyclase-β1, proteasome subunit α type-2 and ubiquitination levels were also affected in peripheral blood mononuclear cells from antidepressant responder and non-responder patients suffering from major depressive disorder. We submit that the glutamatergic system and UPS have a crucial role in the antidepressant treatment response in both mice and humans.
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Affiliation(s)
- D I Park
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - C Dournes
- Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany
| | | | - M Ising
- Department of Clinical Research, Max Planck Institute of Psychiatry, Munich, Germany
| | - J M Asara
- Division of Signal Transduction, Beth Israel Deaconess Medical Center, Boston, MA, USA,Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - C Webhofer
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - M D Filiou
- Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany
| | - M B Müller
- Division of Experimental Psychiatry, Focus Program Translational Neuroscience, Department of Psychiatry and Psychotherapy, Johannes Gutenberg University Medical Center, Mainz, Germany,Division of Experimental Psychiatry, Focus Program Translational Neuroscience, Department of Psychiatry and Psychotherapy, Johannes Gutenberg University Medical Center, 55128 Mainz, Germany or , Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Kraepelinstrasse 2-10, 80804 Munich, Germany. E-mail: or
| | - C W Turck
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany,Division of Experimental Psychiatry, Focus Program Translational Neuroscience, Department of Psychiatry and Psychotherapy, Johannes Gutenberg University Medical Center, 55128 Mainz, Germany or , Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Kraepelinstrasse 2-10, 80804 Munich, Germany. E-mail: or
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Maccarrone G, Bonfiglio JJ, Silberstein S, Turck CW, Martins-de-Souza D. Characterization of a Protein Interactome by Co-Immunoprecipitation and Shotgun Mass Spectrometry. Methods Mol Biol 2017; 1546:223-234. [PMID: 27896772 DOI: 10.1007/978-1-4939-6730-8_19] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Identifying the partners of a given protein (the interactome) may provide leads about the protein's function and the molecular mechanisms in which it is involved. One of the alternative strategies used to characterize protein interactomes consists of co-immunoprecipitation (co-IP) followed by shotgun mass spectrometry. This enables the isolation and identification of a protein target in its native state and its interactome from cells or tissue lysates under physiological conditions. In this chapter, we describe a co-IP protocol for interactome studies that uses an antibody against a protein of interest bound to protein A/G plus agarose beads to isolate a protein complex. The interacting proteins may be further fractionated by SDS-PAGE, followed by in-gel tryptic digestion and nano liquid chromatography high-resolution tandem mass spectrometry (nLC ESI-MS/MS) for identification purposes. The computational tools, strategy for protein identification, and use of interactome databases also will be described.
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Affiliation(s)
- Giuseppina Maccarrone
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Juan Jose Bonfiglio
- Instituto de Investigación en Biomedicina de Buenos Aires (IBioBA), CONICET, Partner Institute of the Max Planck Society, Buenos Aires, Argentina
| | - Susana Silberstein
- Instituto de Investigación en Biomedicina de Buenos Aires (IBioBA), CONICET, Partner Institute of the Max Planck Society, Buenos Aires, Argentina
| | - Christoph W Turck
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Daniel Martins-de-Souza
- Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Rua Monteiro Lobato 255, 13083-862, Campinas, SP, Brazil. .,UNICAMP's Neurobiology Center, Campinas, Brazil.
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Turck CW, Webhofer C, Nussbaumer M, Teplytska L, Chen A, Maccarrone G, Filiou MD. Stable isotope metabolic labeling suggests differential turnover of the DPYSL protein family. Proteomics Clin Appl 2016; 10:1269-1272. [PMID: 27763719 DOI: 10.1002/prca.201600078] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2016] [Revised: 10/13/2016] [Accepted: 10/18/2016] [Indexed: 11/10/2022]
Abstract
PURPOSE In this work, we discuss how in vivo 15 N metabolic labeling in combination with MS simultaneously provides information on protein expression and protein turnover. EXPERIMENTAL DESIGN We metabolically labeled mice with the stable nitrogen isotope 15 N using a 15 N-enriched diet and analyzed unlabeled (14 N) versus 15 N-labeled brain tissue with LC-MS/MS. We then compared the 14 N versus 15 N peptide isotopologue clusters of 14 N and 15 N-labeled dihydropyrimidinase-related (DPYSL) proteins. RESULTS We present a workflow assessing protein expression and turnover at different time points of mouse brain development. Our data demonstrate distinct protein turnover patterns of DPYSL3 and DPYSL5 compared to other quantified proteins. We report the presence of two DPYSL3 and DPYSL5 populations with different 15 N incorporation rates, indicating altered protein turnover during development. CONCLUSIONS AND CLINICAL RELEVANCE In vivo 15 N metabolic labeling allows the simultaneous investigation of protein expression and turnover, enabling detailed protein dynamics studies. We report for the first time protein turnover data for the DPYSL2, DPYSL3, and DPYSL5 protein family members. As DPYSL proteins have important functions for nervous system maturation, our data provide useful information on their molecular fate during brain development.
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Affiliation(s)
- Christoph W Turck
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Christian Webhofer
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Markus Nussbaumer
- Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany
| | - Larysa Teplytska
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Alon Chen
- Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany
| | - Giuseppina Maccarrone
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Michaela D Filiou
- Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany
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Park DI, Dournes C, Sillaber I, Uhr M, Asara JM, Gassen NC, Rein T, Ising M, Webhofer C, Filiou MD, Müller MB, Turck CW. Purine and pyrimidine metabolism: Convergent evidence on chronic antidepressant treatment response in mice and humans. Sci Rep 2016; 6:35317. [PMID: 27731396 PMCID: PMC5059694 DOI: 10.1038/srep35317] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2016] [Accepted: 08/24/2016] [Indexed: 12/13/2022] Open
Abstract
Selective Serotonin Reuptake Inhibitors (SSRIs) are commonly used drugs for the treatment of psychiatric diseases including major depressive disorder (MDD). For unknown reasons a substantial number of patients do not show any improvement during or after SSRI treatment. We treated DBA/2J mice for 28 days with paroxetine and assessed their behavioral response with the forced swim test (FST). Paroxetine-treated long-time floating (PLF) and paroxetine-treated short-time floating (PSF) groups were stratified as proxies for drug non-responder and responder mice, respectively. Proteomics and metabolomics profiles of PLF and PSF groups were acquired for the hippocampus and plasma to identify molecular pathways and biosignatures that stratify paroxetine-treated mouse sub-groups. The critical role of purine and pyrimidine metabolisms for chronic paroxetine treatment response in the mouse was further corroborated by pathway protein expression differences in both mice and patients that underwent chronic antidepressant treatment. The integrated -omics data indicate purine and pyrimidine metabolism pathway activity differences between PLF and PSF mice. Furthermore, the pathway protein levels in peripheral specimens strongly correlated with the antidepressant treatment response in patients. Our results suggest that chronic SSRI treatment differentially affects purine and pyrimidine metabolisms, which may explain the heterogeneous antidepressant treatment response and represents a potential biosignature.
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Affiliation(s)
- Dong Ik Park
- Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, 80804, Munich, Germany
| | - Carine Dournes
- Max Planck Institute of Psychiatry, Department of Stress Neurobiology and Neurogenetics, 80804 Munich, Germany
| | | | - Manfred Uhr
- Max Planck Institute of Psychiatry, Department of Clinical Research, 80804 Munich, Germany
| | - John M Asara
- Division of Signal Transduction, Beth Israel Deaconess Medical Center, and Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Nils C Gassen
- Max Planck Institute of Psychiatry, Department of Stress Neurobiology and Neurogenetics, 80804 Munich, Germany
| | - Theo Rein
- Max Planck Institute of Psychiatry, Department of Stress Neurobiology and Neurogenetics, 80804 Munich, Germany
| | - Marcus Ising
- Max Planck Institute of Psychiatry, Department of Clinical Research, 80804 Munich, Germany
| | - Christian Webhofer
- Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, 80804, Munich, Germany
| | - Michaela D Filiou
- Max Planck Institute of Psychiatry, Department of Stress Neurobiology and Neurogenetics, 80804 Munich, Germany
| | - Marianne B Müller
- Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, 80804, Munich, Germany.,Experimental Psychiatry, Department of Psychiatry and Psychotherapy &Focus Program Translational Neuroscience, Johannes Gutenberg University Medical Center, 55128 Mainz, Germany
| | - Christoph W Turck
- Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, 80804, Munich, Germany
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Inda C, Dos Santos Claro PA, Bonfiglio JJ, Senin SA, Maccarrone G, Turck CW, Silberstein S. Different cAMP sources are critically involved in G protein-coupled receptor CRHR1 signaling. J Cell Biol 2016; 214:181-95. [PMID: 27402953 PMCID: PMC4949449 DOI: 10.1083/jcb.201512075] [Citation(s) in RCA: 50] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2015] [Accepted: 06/10/2016] [Indexed: 02/07/2023] Open
Abstract
Corticotropin-releasing hormone receptor 1 (CRHR1) activates G protein-dependent and internalization-dependent signaling mechanisms. Here, we report that the cyclic AMP (cAMP) response of CRHR1 in physiologically relevant scenarios engages separate cAMP sources, involving the atypical soluble adenylyl cyclase (sAC) in addition to transmembrane adenylyl cyclases (tmACs). cAMP produced by tmACs and sAC is required for the acute phase of extracellular signal regulated kinase 1/2 activation triggered by CRH-stimulated CRHR1, but only sAC activity is essential for the sustained internalization-dependent phase. Thus, different cAMP sources are involved in different signaling mechanisms. Examination of the cAMP response revealed that CRH-activated CRHR1 generates cAMP after endocytosis. Characterizing CRHR1 signaling uncovered a specific link between CRH-activated CRHR1, sAC, and endosome-based signaling. We provide evidence of sAC being involved in an endocytosis-dependent cAMP response, strengthening the emerging model of GPCR signaling in which the cAMP response does not occur exclusively at the plasma membrane and introducing the notion of sAC as an alternative source of cAMP.
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Affiliation(s)
- Carolina Inda
- Instituto de Investigación en Biomedicina de Buenos Aires-CONICET-Partner Institute of the Max Planck Society, C1425FQD Buenos Aires, Argentina Departamento de Fisiología, Biología Molecular y Celular, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, C1428EHA Buenos Aires, Argentina
| | - Paula A Dos Santos Claro
- Instituto de Investigación en Biomedicina de Buenos Aires-CONICET-Partner Institute of the Max Planck Society, C1425FQD Buenos Aires, Argentina Departamento de Fisiología, Biología Molecular y Celular, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, C1428EHA Buenos Aires, Argentina
| | - Juan J Bonfiglio
- Instituto de Investigación en Biomedicina de Buenos Aires-CONICET-Partner Institute of the Max Planck Society, C1425FQD Buenos Aires, Argentina Departamento de Fisiología, Biología Molecular y Celular, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, C1428EHA Buenos Aires, Argentina
| | - Sergio A Senin
- Instituto de Investigación en Biomedicina de Buenos Aires-CONICET-Partner Institute of the Max Planck Society, C1425FQD Buenos Aires, Argentina
| | - Giuseppina Maccarrone
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, 80804 Munich, Germany
| | - Christoph W Turck
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, 80804 Munich, Germany
| | - Susana Silberstein
- Instituto de Investigación en Biomedicina de Buenos Aires-CONICET-Partner Institute of the Max Planck Society, C1425FQD Buenos Aires, Argentina Departamento de Fisiología, Biología Molecular y Celular, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, C1428EHA Buenos Aires, Argentina
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Su SY, Hogrefe-Phi CE, Asara JM, Turck CW, Golub MS. Peripheral fibroblast metabolic pathway alterations in juvenile rhesus monkeys undergoing long-term fluoxetine administration. Eur Neuropsychopharmacol 2016; 26:1110-8. [PMID: 27084303 PMCID: PMC5590669 DOI: 10.1016/j.euroneuro.2016.03.017] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2015] [Revised: 02/03/2016] [Accepted: 03/24/2016] [Indexed: 02/07/2023]
Abstract
We report on biochemical pathways perturbed upon chronic fluoxetine administration to juvenile macaques using global metabolomics analyses of fibroblasts derived from skin biopsies. After exposure to tissue culture conditions confounding environmental factors are eliminated and identification of metabolites whose levels are affected by the drug become apparent with a better signal-to-noise ratio compared to data obtained from plasma and cerebrospinal fluid (CSF). Levels of more than 200 metabolites were analyzed to interrogate affected molecular pathways and identify biomarkers of drug response. In addition, we have correlated the metabolomics results with monoamine oxidase (MAOA) genotype and impulsivity behavioral data. Affected pathways include Purine and Pyrimidine metabolisms that have been previously implicated to contribute to neuropsychiatric disorders.
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Affiliation(s)
- Shu-Yi Su
- Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, Kraepelinstrasse 2-10, 80804 Munich, Germany
| | - Casey E Hogrefe-Phi
- California National Primate Research Center, University of California, Davis, USA
| | - John M Asara
- Division of Signal Transduction, Beth Israel Deaconess Medical Center, and Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Christoph W Turck
- Max Planck Institute of Psychiatry, Department of Translational Research in Psychiatry, Kraepelinstrasse 2-10, 80804 Munich, Germany.
| | - Mari S Golub
- Department of Environmental Toxicology, University of California, Davis, USA.
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Maccarrone G, Nischwitz S, Deininger SO, Hornung J, König FB, Stadelmann C, Turck CW, Weber F. MALDI imaging mass spectrometry analysis-A new approach for protein mapping in multiple sclerosis brain lesions. J Chromatogr B Analyt Technol Biomed Life Sci 2016; 1047:131-140. [PMID: 27461358 DOI: 10.1016/j.jchromb.2016.07.001] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2016] [Accepted: 07/01/2016] [Indexed: 02/07/2023]
Abstract
Multiple sclerosis is a disease of the central nervous system characterized by recurrent inflammatory demyelinating lesions in the early disease stage. Lesion formation and mechanisms leading to lesion remyelination are not fully understood. Matrix Assisted Laser Desorption Ionisation Mass Spectrometry imaging (MALDI-IMS) is a technology which analyses proteins and peptides in tissue, preserves their spatial localization, and generates molecular maps within the tissue section. In a pilot study we employed MALDI imaging mass spectrometry to profile and identify peptides and proteins expressed in normal-appearing white matter, grey matter and multiple sclerosis brain lesions with different extents of remyelination. The unsupervised clustering analysis of the mass spectra generated images which reflected the tissue section morphology in luxol fast blue stain and in myelin basic protein immunohistochemistry. Lesions with low remyelination extent were defined by compounds with molecular weight smaller than 5300Da, while more completely remyelinated lesions showed compounds with molecular weights greater than 15,200Da. An in-depth analysis of the mass spectra enabled the detection of cortical lesions which were not seen by routine luxol fast blue histology. An ion mass, mainly distributed at the rim of multiple sclerosis lesions, was identified by liquid chromatography and tandem mass spectrometry as thymosin beta-4, a protein known to be involved in cell migration and in restorative processes. The ion mass of thymosin beta-4 was profiled by MALDI imaging mass spectrometry in brain slides of 12 multiple sclerosis patients and validated by immunohistochemical analysis. In summary, our results demonstrate the ability of the MALDI-IMS technology to map proteins within the brain parenchyma and multiple sclerosis lesions and to identify potential markers involved in multiple sclerosis pathogenesis and/or remyelination.
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Affiliation(s)
- Giuseppina Maccarrone
- Max Planck Institute of Psychiatry, Kraepelinstr. 2-10, 80804 Munich, Germany; Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Germany
| | - Sandra Nischwitz
- Max Planck Institute of Psychiatry, Kraepelinstr. 2-10, 80804 Munich, Germany
| | | | - Joachim Hornung
- Max Planck Institute of Psychiatry, Kraepelinstr. 2-10, 80804 Munich, Germany
| | - Fatima Barbara König
- Institute of Neuropathology, University Medical Center Göttingen, Robert-Koch-Str. 40, 37075 Göttingen, Germany; Institut für Pathologie, Klinikum Kassel, Mönchebergstr. 41-43, 34125 Kassel, Germany
| | - Christine Stadelmann
- Institute of Neuropathology, University Medical Center Göttingen, Robert-Koch-Str. 40, 37075 Göttingen, Germany
| | - Christoph W Turck
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Germany
| | - Frank Weber
- Max Planck Institute of Psychiatry, Kraepelinstr. 2-10, 80804 Munich, Germany; Medical Park Bad Camberg, Obertorstr. 100-102, 65520 Bad Camberg, Germany.
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50
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Nussbaumer M, Asara JM, Teplytska L, Murphy MP, Logan A, Turck CW, Filiou MD. Selective Mitochondrial Targeting Exerts Anxiolytic Effects In Vivo. Neuropsychopharmacology 2016; 41:1751-8. [PMID: 26567514 PMCID: PMC4869042 DOI: 10.1038/npp.2015.341] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2015] [Revised: 10/22/2015] [Accepted: 11/08/2015] [Indexed: 12/31/2022]
Abstract
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.
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Affiliation(s)
| | - John M Asara
- Division of Signal Transduction, Beth Israel Deaconess Medical Center, Department of Medicine, Harvard Medical School, Boston, MA, USA
| | | | | | | | | | - Michaela D Filiou
- Max Planck Institute of Psychiatry, Munich, Germany,Proteomics and Biomarkers, Max Planck Institute of Psychiatry, Kraepelinstr. 2, Munich 80804, Germany, Tel: +49 89 30622 506, Fax: +49 89 30622 200, E-mail:
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