Pub Date : 2020-10-01Epub Date: 2020-04-21DOI: 10.1159/000507988
Donard S Dwyer
The processes that created the primordial genome are inextricably linked to current day vulnerability to developing a psychiatric disorder as summarized in this review article. Chaos and dynamic forces including duplication, transposition, and recombination generated the protogenome. To survive early stages of genome evolution, self-organization emerged to curb chaos. Eventually, the human genome evolved through a delicate balance of chaos/instability and organization/stability. However, recombination coldspots, silencing of transposable elements, and other measures to limit chaos also led to retention of variants that increase risk for disease. Moreover, ongoing dynamics in the genome creates various new mutations that determine liability for psychiatric disorders. Homologous recombination, long-range gene regulation, and gene interactions were all guided by spooky action-at-a-distance, which increased variability in the system. A probabilistic system of life was required to deal with a changing environment. This ensured the generation of outliers in the population, which enhanced the probability that some members would survive unfavorable environmental impacts. Some of the outliers produced through this process in man are ill suited to cope with the complex demands of modern life. Genomic chaos and mental distress from the psychological challenges of modern living will inevitably converge to produce psychiatric disorders in man.
{"title":"Genomic Chaos Begets Psychiatric Disorder.","authors":"Donard S Dwyer","doi":"10.1159/000507988","DOIUrl":"10.1159/000507988","url":null,"abstract":"<p><p>The processes that created the primordial genome are inextricably linked to current day vulnerability to developing a psychiatric disorder as summarized in this review article. Chaos and dynamic forces including duplication, transposition, and recombination generated the protogenome. To survive early stages of genome evolution, self-organization emerged to curb chaos. Eventually, the human genome evolved through a delicate balance of chaos/instability and organization/stability. However, recombination coldspots, silencing of transposable elements, and other measures to limit chaos also led to retention of variants that increase risk for disease. Moreover, ongoing dynamics in the genome creates various new mutations that determine liability for psychiatric disorders. Homologous recombination, long-range gene regulation, and gene interactions were all guided by spooky action-at-a-distance, which increased variability in the system. A probabilistic system of life was required to deal with a changing environment. This ensured the generation of outliers in the population, which enhanced the probability that some members would survive unfavorable environmental impacts. Some of the outliers produced through this process in man are ill suited to cope with the complex demands of modern life. Genomic chaos and mental distress from the psychological challenges of modern living will inevitably converge to produce psychiatric disorders in man.</p>","PeriodicalId":72654,"journal":{"name":"Complex psychiatry","volume":" ","pages":"20-29"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7673594/pdf/cxp-0006-0020.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39706299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-01Epub Date: 2020-09-14DOI: 10.1159/000511552
Sovannarath Pong, Rakesh Karmacharya, Marianna Sofman, Jeffrey R Bishop, Paulo Lizano
Background: Despite decades of research, little clarity exists regarding pathogenic mechanisms related to schizophrenia. Investigations on the disease biology of schizophrenia have primarily focused on neuronal alterations. However, there is substantial evidence pointing to a significant role for the brain's microvasculature in mediating neuroinflammation in schizophrenia.
Summary: Brain microvascular endothelial cells (BMEC) are a central element of the microvasculature that forms the blood-brain barrier (BBB) and shields the brain against toxins and immune cells via paracellular, transcellular, transporter, and extracellular matrix proteins. While evidence for BBB dysfunction exists in brain disorders, including schizophrenia, it is not known if BMEC themselves are functionally compromised and lead to BBB dysfunction.
Key messages: Genome-wide association studies, postmortem investigations, and gene expression analyses have provided some insights into the role of the BBB in schizophrenia pathophysiology. However, there is a significant gap in our understanding of the role that BMEC play in BBB dysfunction. Recent advances differentiating human BMEC from induced pluripotent stem cells (iPSC) provide new avenues to examine the role of BMEC in BBB dysfunction in schizophrenia.
{"title":"The Role of Brain Microvascular Endothelial Cell and Blood-Brain Barrier Dysfunction in Schizophrenia.","authors":"Sovannarath Pong, Rakesh Karmacharya, Marianna Sofman, Jeffrey R Bishop, Paulo Lizano","doi":"10.1159/000511552","DOIUrl":"10.1159/000511552","url":null,"abstract":"<p><strong>Background: </strong>Despite decades of research, little clarity exists regarding pathogenic mechanisms related to schizophrenia. Investigations on the disease biology of schizophrenia have primarily focused on neuronal alterations. However, there is substantial evidence pointing to a significant role for the brain's microvasculature in mediating neuroinflammation in schizophrenia.</p><p><strong>Summary: </strong>Brain microvascular endothelial cells (BMEC) are a central element of the microvasculature that forms the blood-brain barrier (BBB) and shields the brain against toxins and immune cells via paracellular, transcellular, transporter, and extracellular matrix proteins. While evidence for BBB dysfunction exists in brain disorders, including schizophrenia, it is not known if BMEC themselves are functionally compromised and lead to BBB dysfunction.</p><p><strong>Key messages: </strong>Genome-wide association studies, postmortem investigations, and gene expression analyses have provided some insights into the role of the BBB in schizophrenia pathophysiology. However, there is a significant gap in our understanding of the role that BMEC play in BBB dysfunction. Recent advances differentiating human BMEC from induced pluripotent stem cells (iPSC) provide new avenues to examine the role of BMEC in BBB dysfunction in schizophrenia.</p>","PeriodicalId":72654,"journal":{"name":"Complex psychiatry","volume":" ","pages":"30-46"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7673590/pdf/cxp-0006-0030.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39706301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-01Epub Date: 2020-03-03DOI: 10.1159/000506858
Nicholas E Clifton, Kerrie L Thomas, Lawrence S Wilkinson, Jeremy Hall, Simon Trent
There is increasing awareness of the role genetic risk variants have in mediating vulnerability to psychiatric disorders such as schizophrenia and autism. Many of these risk variants encode synaptic proteins, influencing biological pathways of the postsynaptic density and, ultimately, synaptic plasticity. Fragile-X mental retardation 1 (FMR1) and cytoplasmic fragile-X mental retardation protein (FMRP)-interacting protein 1 (CYFIP1) contain 2 such examples of highly penetrant risk variants and encode synaptic proteins with shared functional significance. In this review, we discuss the biological actions of FMRP and CYFIP1, including their regulation of (i) protein synthesis and specifically FMRP targets, (ii) dendritic and spine morphology, and (iii) forms of synaptic plasticity such as long-term depression. We draw upon a range of preclinical studies that have used genetic dosage models of FMR1 and CYFIP1 to determine their biological function. In parallel, we discuss how clinical studies of fragile X syndrome or 15q11.2 deletion patients have informed our understanding of FMRP and CYFIP1, and highlight the latest psychiatric genomic findings that continue to implicate FMRP and CYFIP1. Lastly, we assess the current limitations in our understanding of FMRP and CYFIP1 biology and how they must be addressed before mechanism-led therapeutic strategies can be developed for psychiatric disorders.
{"title":"FMRP and CYFIP1 at the Synapse and Their Role in Psychiatric Vulnerability.","authors":"Nicholas E Clifton, Kerrie L Thomas, Lawrence S Wilkinson, Jeremy Hall, Simon Trent","doi":"10.1159/000506858","DOIUrl":"10.1159/000506858","url":null,"abstract":"<p><p>There is increasing awareness of the role genetic risk variants have in mediating vulnerability to psychiatric disorders such as schizophrenia and autism. Many of these risk variants encode synaptic proteins, influencing biological pathways of the postsynaptic density and, ultimately, synaptic plasticity. Fragile-X mental retardation 1 (<i>FMR1</i>) and cytoplasmic fragile-X mental retardation protein (FMRP)-interacting protein 1 (<i>CYFIP1</i>) contain 2 such examples of highly penetrant risk variants and encode synaptic proteins with shared functional significance. In this review, we discuss the biological actions of FMRP and CYFIP1, including their regulation of (i) protein synthesis and specifically FMRP targets, (ii) dendritic and spine morphology, and (iii) forms of synaptic plasticity such as long-term depression. We draw upon a range of preclinical studies that have used genetic dosage models of <i>FMR1</i> and <i>CYFIP1</i> to determine their biological function. In parallel, we discuss how clinical studies of fragile X syndrome or 15q11.2 deletion patients have informed our understanding of FMRP and CYFIP1, and highlight the latest psychiatric genomic findings that continue to implicate FMRP and CYFIP1. Lastly, we assess the current limitations in our understanding of FMRP and CYFIP1 biology and how they must be addressed before mechanism-led therapeutic strategies can be developed for psychiatric disorders.</p>","PeriodicalId":72654,"journal":{"name":"Complex psychiatry","volume":" ","pages":"5-19"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7673588/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39706300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-08-07DOI: 10.1101/2020.08.07.242057
Y. Bansal, Corey Fee, Keith A. Misquitta, S. Codeluppi, E. Sibille, R. Berman, V. Coric, G. Sanacora, M. Banasr
Background Chronic stress-related illnesses, such as major depressive disorder and post-traumatic stress disorder share symptomatology, including anxiety, anhedonia, and helplessness. Across disorders, neurotoxic dysregulated glutamate (Glu) signaling may underlie symptom emergence. Current first-line antidepressant drugs, which do not directly target Glu signaling, fail to provide adequate benefit for many patients and are associated with high relapse rates. Riluzole modulates glutamatergic neurotransmission by increasing metabolic cycling and modulating signal transduction. Clinical studies exploring riluzole’s efficacy in stress-related disorders have provided varied results. However, the utility of riluzole for treating specific symptom dimensions or as a prophylactic treatment has not been comprehensively assessed. Methods We investigated whether chronic prophylactic riluzole (~12-15mg/kg/day p.o.) could prevent the emergence of behavioral deficits induced by unpredictable chronic mild stress (UCMS) in mice. We assessed: i) anxiety-like behavior using the elevated-plus maze, open field test, and novelty-suppressed feeding, ii) mixed anxiety/anhedonia-like behavior in the novelty-induced hypophagia test and, iii) anhedonia-like behavior using the sucrose consumption test. Z-scoring summarized changes across tests measuring similar dimensions. In a separate learned helplessness (LH) cohort, we investigated whether chronic prophylactic riluzole treatment could block the development of helplessness-like behavior. Results UCMS induced an elevation in anhedonia-like behavior, and overall behavioral emotionality that was blocked by prophylactic riluzole. In the LH cohort, prophylactic riluzole blocked the development of helplessness-like behavior. Conclusion This study supports the utility of riluzole as a prophylactic medication for preventing anhedonia, and helplessness symptoms associated with stress-related disorders.
{"title":"Prophylactic Efficacy of Riluzole against Anxiety- and Depressive-Like Behaviors in Two Rodent Stress Models","authors":"Y. Bansal, Corey Fee, Keith A. Misquitta, S. Codeluppi, E. Sibille, R. Berman, V. Coric, G. Sanacora, M. Banasr","doi":"10.1101/2020.08.07.242057","DOIUrl":"https://doi.org/10.1101/2020.08.07.242057","url":null,"abstract":"Background Chronic stress-related illnesses, such as major depressive disorder and post-traumatic stress disorder share symptomatology, including anxiety, anhedonia, and helplessness. Across disorders, neurotoxic dysregulated glutamate (Glu) signaling may underlie symptom emergence. Current first-line antidepressant drugs, which do not directly target Glu signaling, fail to provide adequate benefit for many patients and are associated with high relapse rates. Riluzole modulates glutamatergic neurotransmission by increasing metabolic cycling and modulating signal transduction. Clinical studies exploring riluzole’s efficacy in stress-related disorders have provided varied results. However, the utility of riluzole for treating specific symptom dimensions or as a prophylactic treatment has not been comprehensively assessed. Methods We investigated whether chronic prophylactic riluzole (~12-15mg/kg/day p.o.) could prevent the emergence of behavioral deficits induced by unpredictable chronic mild stress (UCMS) in mice. We assessed: i) anxiety-like behavior using the elevated-plus maze, open field test, and novelty-suppressed feeding, ii) mixed anxiety/anhedonia-like behavior in the novelty-induced hypophagia test and, iii) anhedonia-like behavior using the sucrose consumption test. Z-scoring summarized changes across tests measuring similar dimensions. In a separate learned helplessness (LH) cohort, we investigated whether chronic prophylactic riluzole treatment could block the development of helplessness-like behavior. Results UCMS induced an elevation in anhedonia-like behavior, and overall behavioral emotionality that was blocked by prophylactic riluzole. In the LH cohort, prophylactic riluzole blocked the development of helplessness-like behavior. Conclusion This study supports the utility of riluzole as a prophylactic medication for preventing anhedonia, and helplessness symptoms associated with stress-related disorders.","PeriodicalId":72654,"journal":{"name":"Complex psychiatry","volume":"30 1","pages":"57 - 69"},"PeriodicalIF":0.0,"publicationDate":"2020-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85639230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We provide an agent-based model to explain the emergence of collective opinions not based on feedback between different opinions, but based on emotional interactions between agents. The driving variable is the emotional state of agents, characterized by their valence, quantifying the emotion from unpleasant to pleasant, and their arousal, quantifying the degree of activity associated with the emotion. Both determine their emotional expression, from which collective emotional information is generated. This information feeds back on the dynamics of emotional states and individual opinions in a nonlinear manner. We derive the critical conditions for emotional interactions to obtain either consensus or polarization of opinions. Stochastic agent-based simulations and formal analyses of the model explain our results. Possible ways to validate the model are discussed.
{"title":"An Agent-Based Model of Opinion Polarization Driven by Emotions","authors":"F. Schweitzer, Tamás Kriváchy, David García","doi":"10.31235/osf.io/8m2wq","DOIUrl":"https://doi.org/10.31235/osf.io/8m2wq","url":null,"abstract":"We provide an agent-based model to explain the emergence of collective opinions not based on feedback between different opinions, but based on emotional interactions between agents. The driving variable is the emotional state of agents, characterized by their valence, quantifying the emotion from unpleasant to pleasant, and their arousal, quantifying the degree of activity associated with the emotion. Both determine their emotional expression, from which collective emotional information is generated. This information feeds back on the dynamics of emotional states and individual opinions in a nonlinear manner. We derive the critical conditions for emotional interactions to obtain either consensus or polarization of opinions. Stochastic agent-based simulations and formal analyses of the model explain our results. Possible ways to validate the model are discussed.","PeriodicalId":72654,"journal":{"name":"Complex psychiatry","volume":"7 1","pages":"5282035:1-5282035:11"},"PeriodicalIF":0.0,"publicationDate":"2020-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75334079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-08DOI: 10.1002/(SICI)1099-0526(199611/12)2:2%3C31::AID-CPLX7%3E3.0.CO;2-Q
M. Greiner, P. Lipa, P. Carruthers
{"title":"Wavelets","authors":"M. Greiner, P. Lipa, P. Carruthers","doi":"10.1002/(SICI)1099-0526(199611/12)2:2%3C31::AID-CPLX7%3E3.0.CO;2-Q","DOIUrl":"https://doi.org/10.1002/(SICI)1099-0526(199611/12)2:2%3C31::AID-CPLX7%3E3.0.CO;2-Q","url":null,"abstract":"","PeriodicalId":72654,"journal":{"name":"Complex psychiatry","volume":"2 1","pages":"31-36"},"PeriodicalIF":0.0,"publicationDate":"2018-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80189437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-07DOI: 10.1002/(SICI)1099-0526(199901/02)4:3%3C14::AID-CPLX3%3E3.0.CO;2-O
W. Fontana, S. Ballati
C onsider a single molecule of water. Many of its properties, such as bond lengths, bond angles, and energy levels, can be calculated from quantum mechanics, the appropriate theory at the atomic scale of matter. Add 10 further molecules of water, and you’ve got a liquid, which is described by hydrodynamics—an altogether different ball game than quantum mechanics. Eddies and vortices don’t exist at the level of a single molecule. Decrease the temperature, and the liquid freezes. Now you can push the rear side of a block of ice and the front side moves instantaneously along with it. Rigidity is hardly a property of a fluid or a gas. A very large number of water molecules thus constitute an “object” so rich that it needs a different theory at different temperatures! In the early 1970s, Phil Anderson, a Nobel Laureate and member of the SFI Science Board, coined the slogan “More is different” (Science, 177:393–396, 1972). Emergence points to the fact that new properties come to dominate a system’s behavior as we increase its degrees of freedom or as we tune a parameter to break a symmetry. There are different mechanisms for emergence. Yet they all depend on the fairly obvious fact that the components of a system interact. Increasing the number of interactions, or emphasizing certain interactions over others (breaking symmetry), triggers feedback loops among the components, giving rise to collective behavior. Components that are locked into such behavior can be treated together as a new unit. While the composition of a system has remained the same, its internal boundaries—which suggest how to parse a system into “parts”— have been redrawn from within. This forces a change in the way we describe that system and how we must think about it. For example, we do not think of the air over the U.S. as a flowing gas, but we think of it in terms of cold and warm fronts or huge vortices such as hurricanes. Those who emphasize the global view of a system say that “the whole is more than the sum of its parts,” where the “more” refers to properties deriving from WALTER FONTANA AND SUSAN BALLATI
{"title":"Complexity","authors":"W. Fontana, S. Ballati","doi":"10.1002/(SICI)1099-0526(199901/02)4:3%3C14::AID-CPLX3%3E3.0.CO;2-O","DOIUrl":"https://doi.org/10.1002/(SICI)1099-0526(199901/02)4:3%3C14::AID-CPLX3%3E3.0.CO;2-O","url":null,"abstract":"C onsider a single molecule of water. Many of its properties, such as bond lengths, bond angles, and energy levels, can be calculated from quantum mechanics, the appropriate theory at the atomic scale of matter. Add 10 further molecules of water, and you’ve got a liquid, which is described by hydrodynamics—an altogether different ball game than quantum mechanics. Eddies and vortices don’t exist at the level of a single molecule. Decrease the temperature, and the liquid freezes. Now you can push the rear side of a block of ice and the front side moves instantaneously along with it. Rigidity is hardly a property of a fluid or a gas. A very large number of water molecules thus constitute an “object” so rich that it needs a different theory at different temperatures! In the early 1970s, Phil Anderson, a Nobel Laureate and member of the SFI Science Board, coined the slogan “More is different” (Science, 177:393–396, 1972). Emergence points to the fact that new properties come to dominate a system’s behavior as we increase its degrees of freedom or as we tune a parameter to break a symmetry. There are different mechanisms for emergence. Yet they all depend on the fairly obvious fact that the components of a system interact. Increasing the number of interactions, or emphasizing certain interactions over others (breaking symmetry), triggers feedback loops among the components, giving rise to collective behavior. Components that are locked into such behavior can be treated together as a new unit. While the composition of a system has remained the same, its internal boundaries—which suggest how to parse a system into “parts”— have been redrawn from within. This forces a change in the way we describe that system and how we must think about it. For example, we do not think of the air over the U.S. as a flowing gas, but we think of it in terms of cold and warm fronts or huge vortices such as hurricanes. Those who emphasize the global view of a system say that “the whole is more than the sum of its parts,” where the “more” refers to properties deriving from WALTER FONTANA AND SUSAN BALLATI","PeriodicalId":72654,"journal":{"name":"Complex psychiatry","volume":"42 1","pages":"14-16"},"PeriodicalIF":0.0,"publicationDate":"2018-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85120381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fuzzy predictive temperature control for a class of metallurgy lime kiln models","authors":"Xugang Feng, Shicheng Huo, Jiayan Zhang, Hao Shen","doi":"10.1002/cplx.21802","DOIUrl":"https://doi.org/10.1002/cplx.21802","url":null,"abstract":"","PeriodicalId":72654,"journal":{"name":"Complex psychiatry","volume":"14 1","pages":"249-258"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80988055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}