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Sen P, Ortiz O, Brivio E, Menegaz D, Sotillos Elliott L, Du Y, Ries C, Chen A, Wurst W, Lopez JP, Eder M, Deussing JM. A bipolar disorder-associated missense variant alters adenylyl cyclase 2 activity and promotes mania-like behavior. Mol Psychiatry 2024:10.1038/s41380-024-02663-w. [PMID: 39003412 DOI: 10.1038/s41380-024-02663-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 06/21/2024] [Accepted: 07/04/2024] [Indexed: 07/15/2024]
Abstract
The single nucleotide polymorphism rs13166360, causing a substitution of valine (Val) 147 to leucine (Leu) in the adenylyl cyclase 2 (ADCY2), has previously been associated with bipolar disorder (BD). Here we show that the disease-associated ADCY2 missense mutation diminishes the enzyme´s capacity to generate the second messenger 3',5'-cylic adenosine monophosphate (cAMP) by altering its subcellular localization. We established mice specifically carrying the Val to Leu substitution using CRISPR/Cas9-based gene editing. Mice homozygous for the Leu variant display symptoms of a mania-like state accompanied by cognitive impairments. Mutant animals show additional characteristic signs of rodent mania models, i.e., they are hypersensitive to amphetamine, the observed mania-like behaviors are responsive to lithium treatment and the Val to Leu substitution results in a shifted excitatory/inhibitory synaptic balance towards more excitation. Exposure to chronic social defeat stress switches homozygous Leu variant carriers from a mania- to a depressive-like state, a transition which is reminiscent of the alternations characterizing the symptomatology in BD patients. Single-cell RNA-seq (scRNA-seq) revealed widespread Adcy2 mRNA expression in numerous hippocampal cell types. Differentially expressed genes particularly identified from glutamatergic CA1 neurons point towards ADCY2 variant-dependent alterations in multiple biological processes including cAMP-related signaling pathways. These results validate ADCY2 as a BD risk gene, provide insights into underlying disease mechanisms, and potentially open novel avenues for therapeutic intervention strategies.
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Affiliation(s)
- Paromita Sen
- Molecular Neurogenetics, Max Planck Institute of Psychiatry, 80804, Munich, Germany
| | - Oskar Ortiz
- Institute of Developmental Genetics, Helmholtz Zentrum München, 85764, Neuherberg, Germany
| | - Elena Brivio
- Department Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, 80804, Munich, Germany
- Department of Brain Sciences, Weizmann Institute of Science, Rehovot, 76100, Israel
- Department of Molecular Neuroscience, Weizmann Institute of Science, Rehovot, 76100, Israel
| | - Danusa Menegaz
- Scientific Core Unit Electrophysiology, Max Planck Institute of Psychiatry, 80804, Munich, Germany
| | | | - Ying Du
- Molecular Neurogenetics, Max Planck Institute of Psychiatry, 80804, Munich, Germany
| | - Clemens Ries
- Molecular Neurogenetics, Max Planck Institute of Psychiatry, 80804, Munich, Germany
| | - Alon Chen
- Department Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, 80804, Munich, Germany
- Department of Brain Sciences, Weizmann Institute of Science, Rehovot, 76100, Israel
- Department of Molecular Neuroscience, Weizmann Institute of Science, Rehovot, 76100, Israel
| | - Wolfgang Wurst
- Institute of Developmental Genetics, Helmholtz Zentrum München, 85764, Neuherberg, Germany
- Chair of Developmental Genetics, Munich School of Life Sciences Weihenstephan, Technical University of Munich, 85354, Freising, Germany
- Munich Cluster of Systems Neurology (SyNergy), Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE) site Munich, 81377, Munich, Germany
| | - Juan Pablo Lopez
- Department Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, 80804, Munich, Germany
- Department of Neuroscience, Karolinska Institutet, Stockholm, 17177, Sweden
| | - Matthias Eder
- Scientific Core Unit Electrophysiology, Max Planck Institute of Psychiatry, 80804, Munich, Germany
| | - Jan M Deussing
- Molecular Neurogenetics, Max Planck Institute of Psychiatry, 80804, Munich, Germany.
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Rhoades R, Solomon S, Johnson C, Teng S. Impact of SARS-CoV-2 on Host Factors Involved in Mental Disorders. Front Microbiol 2022; 13:845559. [PMID: 35444632 PMCID: PMC9014212 DOI: 10.3389/fmicb.2022.845559] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Accepted: 02/14/2022] [Indexed: 11/23/2022] Open
Abstract
COVID-19, caused by SARS-CoV-2, is a systemic illness due to its multiorgan effects in patients. The disease has a detrimental impact on respiratory and cardiovascular systems. One early symptom of infection is anosmia or lack of smell; this implicates the involvement of the olfactory bulb in COVID-19 disease and provides a route into the central nervous system. However, little is known about how SARS-CoV-2 affects neurological or psychological symptoms. SARS-CoV-2 exploits host receptors that converge on pathways that impact psychological symptoms. This systemic review discusses the ways involved by coronavirus infection and their impact on mental health disorders. We begin by briefly introducing the history of coronaviruses, followed by an overview of the essential proteins to viral entry. Then, we discuss the downstream effects of viral entry on host proteins. Finally, we review the literature on host factors that are known to play critical roles in neuropsychiatric symptoms and mental diseases and discuss how COVID-19 could impact mental health globally. Our review details the host factors and pathways involved in the cellular mechanisms, such as systemic inflammation, that play a significant role in the development of neuropsychological symptoms stemming from COVID-19 infection.
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Affiliation(s)
- Raina Rhoades
- Department of Biology, Howard University, Washington, DC, United States
| | - Sarah Solomon
- Department of Biology, Howard University, Washington, DC, United States
| | - Christina Johnson
- Department of Biology, Howard University, Washington, DC, United States
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Dussaq A, Anderson JC, Willey CD, Almeida JS. Mechanistic Parameterization of the Kinomic Signal in Peptide Arrays. ACTA ACUST UNITED AC 2016; 9:151-157. [PMID: 27601856 PMCID: PMC5010871 DOI: 10.4172/jpb.1000401] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Kinases play a role in every cellular process involved in tumorigenesis ranging from proliferation, migration, and protein synthesis to DNA repair. While genetic sequencing has identified most kinases in the human genome, it does not describe the ‘kinome’ at the level of activity of kinases against their substrate targets. An attempt to address that limitation and give researchers a more direct view of cellular kinase activity is found in the PamGene PamChip® system, which records and compares the phosphorylation of 144 tyrosine or serine/threonine peptides as they are phosphorylated by cellular kinases. Accordingly, the kinetics of this time dependent kinomic signal needs to be well understood in order to transduce a parameter set into an accurate and meaningful mathematical model. Here we report the analysis and mathematical modeling of kinomic time series, which achieves a more accurate description of the accumulation of phosphorylated product than the current model, which assumes first order enzyme-substrate kinetics. Reproducibility of the proposed solution was of particular attention. Specifically, the non-linear parameterization procedure is delivered as a public open source web application where kinomic time series can be accurately decomposed into the model’s two parameter values measuring phosphorylation rate and capacity. The ability to deliver model parameterization entirely as a client side web application is an important result on its own given increasing scientific preoccupation with reproducibility. There is also no need for a potentially transitory and opaque server-side component maintained by the authors, nor of exchanging potentially sensitive data as part of the model parameterization process since the code is transferred to the browser client where it can be inspected and executed.
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Affiliation(s)
| | | | | | - Jonas S Almeida
- Biomedical Informatics Department, Stony Brook University, USA
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Summaries of plenary, symposia, and oral sessions at the XXII World Congress of Psychiatric Genetics, Copenhagen, Denmark, 12-16 October 2014. Psychiatr Genet 2015; 26:1-47. [PMID: 26565519 DOI: 10.1097/ypg.0000000000000112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
The XXII World Congress of Psychiatric Genetics, sponsored by the International Society of Psychiatric Genetics, took place in Copenhagen, Denmark, on 12-16 October 2014. A total of 883 participants gathered to discuss the latest findings in the field. The following report was written by student and postdoctoral attendees. Each was assigned one or more sessions as a rapporteur. This manuscript represents topics covered in most, but not all of the oral presentations during the conference, and contains some of the major notable new findings reported.
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