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Hamada H, Casciaro C, Moisiadis VG, Constantinof A, Kostaki A, Matthews SG. Prenatal maternal glucocorticoid exposure modifies sperm miRNA profiles across multiple generations in the guinea-pig. J Physiol 2024; 602:2127-2139. [PMID: 38285002 DOI: 10.1113/jp284942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 01/11/2024] [Indexed: 01/30/2024] Open
Abstract
Maternal stress and glucocorticoid exposure during pregnancy have multigenerational effects on neuroendocrine function and behaviours in offspring. Importantly, effects are transmitted through the paternal lineage. Altered phenotypes are associated with profound differences in transcription and DNA methylation in the brain. In the present study, we hypothesized that maternal prenatal synthetic glucocorticoid (sGC) exposure in the F0 pregnancy will result in differences in miRNA levels in testes germ cells and sperm across multiple generations, and that these changes will associate with modified microRNA (miRNA) profiles and gene expression in the prefrontal cortex (PFC) of subsequent generations. Pregnant guinea-pigs (F0) were treated with multiple courses of the sGC betamethasone (Beta) (1 mg kg-1; gestational days 40, 41, 50, 51, 60 and 61) in late gestation. miRNA levels were assessed in testes germ cells and in F2 PFC using the GeneChip miRNA 4.0 Array and candidate miRNA measured in epididymal sperm by quantitative real-time PCR. Maternal Beta exposure did not alter miRNA levels in germ cells derived from the testes of adult male offspring. However, there were significant differences in the levels of four candidate miRNAs in the sperm of F1 and F2 adult males. There were no changes in miRNA levels in the PFC of juvenile F2 female offspring. The present study has identified that maternal Beta exposure leads to altered miRNA levels in sperm that are apparent for at least two generations. The fact that differences were confined to epididymal sperm suggests that the intergenerational effects of Beta may target the epididymis. KEY POINTS: Paternal glucocorticoid exposure prior to conception leads to profound epigenetic changes in the brain and somatic tissues in offspring, and microRNAs (miRNAs) in sperm may mediate these changes. We show that there were significant differences in the miRNA profile of epididymal sperm in two generations following prenatal glucocorticoid exposure that were not observed in germ cells derived from the testes. The epididymis is a probable target for intergenerational programming. The effects of prenatal glucocorticoid treatment may span multiple generations.
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Affiliation(s)
- Hirotaka Hamada
- Departments of Physiology, Obstetrics and Gynaecology and Medicine, University of Toronto, Toronto, ON, Canada
- Department of Gynecology and Obstetrics, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Christopher Casciaro
- Departments of Physiology, Obstetrics and Gynaecology and Medicine, University of Toronto, Toronto, ON, Canada
| | - Vasilis G Moisiadis
- Departments of Physiology, Obstetrics and Gynaecology and Medicine, University of Toronto, Toronto, ON, Canada
| | - Andrea Constantinof
- Departments of Physiology, Obstetrics and Gynaecology and Medicine, University of Toronto, Toronto, ON, Canada
| | - Alisa Kostaki
- Departments of Physiology, Obstetrics and Gynaecology and Medicine, University of Toronto, Toronto, ON, Canada
| | - Stephen G Matthews
- Departments of Physiology, Obstetrics and Gynaecology and Medicine, University of Toronto, Toronto, ON, Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health Systems, Toronto, ON, Canada
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Bilecki W, Latusz J, Gawlińska K, Chmelova M, Maćkowiak M. Prenatal MAM treatment altered fear conditioning following social isolation: Relevance to schizophrenia. Behav Brain Res 2021; 406:113231. [PMID: 33737089 DOI: 10.1016/j.bbr.2021.113231] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Revised: 03/02/2021] [Accepted: 03/03/2021] [Indexed: 11/28/2022]
Abstract
Adolescent social isolation (SI) might change the trajectory of brain development. In the present study, we investigated the effect of short-term adolescent SI on fear memory, anxiety and protein levels in the adult medial prefrontal cortex of rats prenatally treated with methylazoxymethanol, MAM-E17 model of schizophrenia. The animals were maintained in standard housing (SH) or social isolation (P30-P40, SI) conditions. Behavioural tests (trace or delay fear conditioning, light/dark box) were performed in late adolescence and early adulthood. The results showed that MAM treatment did not alter fear memory, which was investigated with the use of either trace or delay fear conditioning, at any age, and SI decreased the fear response in adult control animals only under trace conditioning. Neither MAM nor SI influenced anxiety-related behaviour measured in the light/dark box. A proteomics study showed that both MAM and SI changed the protein levels related to synapse maturation and cytoskeletal organization, energy transfer and metabolic processes. Prenatal or adolescent environmental factors are able to change the expression of proteins that are correlated with behavioural impairments. Moreover, SI reversed some alterations in proteins induced by MAM. Thus, normally developing brains showed different responses to adolescent SI than those with altering courses of MAM administration.
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Affiliation(s)
- Wiktor Bilecki
- Maj Institute of Pharmacology, Polish Academy of Sciences, Department of Pharmacology, Laboratory of Pharmacology and Brain Biostructure, Smętna Str. 12, 31-343 Kraków, Poland
| | - Joachim Latusz
- Maj Institute of Pharmacology, Polish Academy of Sciences, Department of Pharmacology, Laboratory of Pharmacology and Brain Biostructure, Smętna Str. 12, 31-343 Kraków, Poland
| | - Kinga Gawlińska
- Maj Institute of Pharmacology, Polish Academy of Sciences, Department of Pharmacology, Laboratory of Pharmacology and Brain Biostructure, Smętna Str. 12, 31-343 Kraków, Poland
| | - Magdalena Chmelova
- Maj Institute of Pharmacology, Polish Academy of Sciences, Department of Pharmacology, Laboratory of Pharmacology and Brain Biostructure, Smętna Str. 12, 31-343 Kraków, Poland
| | - Marzena Maćkowiak
- Maj Institute of Pharmacology, Polish Academy of Sciences, Department of Pharmacology, Laboratory of Pharmacology and Brain Biostructure, Smętna Str. 12, 31-343 Kraków, Poland.
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Jaudon F, Thalhammer A, Cingolani LA. Integrin adhesion in brain assembly: From molecular structure to neuropsychiatric disorders. Eur J Neurosci 2020; 53:3831-3850. [PMID: 32531845 DOI: 10.1111/ejn.14859] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2020] [Revised: 05/21/2020] [Accepted: 06/02/2020] [Indexed: 02/07/2023]
Abstract
Integrins are extracellular matrix receptors that mediate biochemical and mechanical bi-directional signals between the extracellular and intracellular environment of a cell thanks to allosteric conformational changes. In the brain, they are found in both neurons and glial cells, where they play essential roles in several aspects of brain development and function, such as cell migration, axon guidance, synaptogenesis, synaptic plasticity and neuro-inflammation. Although there are many successful examples of how regulating integrin adhesion and signaling can be used for therapeutic purposes, for example for halting tumor progression, this is not the case for the brain, where the growing evidence of the importance of integrins for brain pathophysiology has not translated yet into medical applications. Here, we review recent literature showing how alterations in integrin structure, expression and signaling may be involved in the etiology of autism spectrum disorder, epilepsy, schizophrenia, addiction, depression and Alzheimer's disease. We focus on common mechanisms and recurrent signaling pathways, trying to bridge studies on the genetics and molecular structure of integrins with those on synaptic physiology and brain pathology. Further, we discuss integrin-targeting strategies and their potential benefits for therapeutic purposes in neuropsychiatric disorders.
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Affiliation(s)
- Fanny Jaudon
- Center for Synaptic Neuroscience and Technology, Istituto Italiano di Tecnologia (IIT), Genoa, Italy.,IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Agnes Thalhammer
- Center for Synaptic Neuroscience and Technology, Istituto Italiano di Tecnologia (IIT), Genoa, Italy.,IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Lorenzo A Cingolani
- Center for Synaptic Neuroscience and Technology, Istituto Italiano di Tecnologia (IIT), Genoa, Italy.,Department of Life Sciences, University of Trieste, Trieste, Italy
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4
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Rosenfeld CS, Hekman JP, Johnson JL, Lyu Z, Ortega MT, Joshi T, Mao J, Vladimirova AV, Gulevich RG, Kharlamova AV, Acland GM, Hecht EE, Wang X, Clark AG, Trut LN, Behura SK, Kukekova AV. Hypothalamic transcriptome of tame and aggressive silver foxes (Vulpes vulpes) identifies gene expression differences shared across brain regions. GENES BRAIN AND BEHAVIOR 2019; 19:e12614. [PMID: 31605445 DOI: 10.1111/gbb.12614] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Revised: 10/02/2019] [Accepted: 10/03/2019] [Indexed: 12/15/2022]
Abstract
The underlying neurological events accompanying dog domestication remain elusive. To reconstruct the domestication process in an experimental setting, silver foxes (Vulpes vulpes) have been deliberately bred for tame vs aggressive behaviors for more than 50 generations at the Institute for Cytology and Genetics in Novosibirsk, Russia. The hypothalamus is an essential part of the hypothalamic-pituitary-adrenal axis and regulates the fight-or-flight response, and thus, we hypothesized that selective breeding for tameness/aggressiveness has shaped the hypothalamic transcriptomic profile. RNA-seq analysis identified 70 differentially expressed genes (DEGs). Seven of these genes, DKKL1, FBLN7, NPL, PRIMPOL, PTGRN, SHCBP1L and SKIV2L, showed the same direction expression differences in the hypothalamus, basal forebrain and prefrontal cortex. The genes differentially expressed across the three tissues are involved in cell division, differentiation, adhesion and carbohydrate processing, suggesting an association of these processes with selective breeding. Additionally, 159 transcripts from the hypothalamus demonstrated differences in the abundance of alternative spliced forms between the tame and aggressive foxes. Weighted gene coexpression network analyses also suggested that gene modules in hypothalamus were significantly associated with tame vs aggressive behavior. Pathways associated with these modules include signal transduction, interleukin signaling, cytokine-cytokine receptor interaction and peptide ligand-binding receptors (eg, G-protein coupled receptor [GPCR] ligand binding). Current studies show the selection for tameness vs aggressiveness in foxes is associated with unique hypothalamic gene profiles partly shared with other brain regions and highlight DEGs involved in biological processes such as development, differentiation and immunological responses. The role of these processes in fox and dog domestication remains to be determined.
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Affiliation(s)
- Cheryl S Rosenfeld
- Bond Life Sciences Center, University of Missouri, Columbia, Missouri.,Biomedical Sciences, University of Missouri, Columbia, Missouri.,Thompson Center for Autism and Neurobehavioral Disorders, University of Missouri, Columbia, Missouri.,MU Informatics Institute, University of Missouri, Columbia, Missouri
| | - Jessica P Hekman
- Department of Animal Sciences, College of Agricultural, Consumer, and Environmental Sciences, University of Illinois, Urbana, Illinois.,The Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Jennifer L Johnson
- Department of Animal Sciences, College of Agricultural, Consumer, and Environmental Sciences, University of Illinois, Urbana, Illinois
| | - Zhen Lyu
- Department of Computer Science, University of Missouri, Columbia, Missouri
| | - Madison T Ortega
- Bond Life Sciences Center, University of Missouri, Columbia, Missouri.,Biomedical Sciences, University of Missouri, Columbia, Missouri
| | - Trupti Joshi
- Bond Life Sciences Center, University of Missouri, Columbia, Missouri.,MU Informatics Institute, University of Missouri, Columbia, Missouri.,Department of Computer Science, University of Missouri, Columbia, Missouri.,Department of Health Management and Informatics, University of Missouri, Columbia, Missouri
| | - Jiude Mao
- Bond Life Sciences Center, University of Missouri, Columbia, Missouri.,Biomedical Sciences, University of Missouri, Columbia, Missouri
| | - Anastasiya V Vladimirova
- The Laboratory of Evolutionary Genetics, Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - Rimma G Gulevich
- The Laboratory of Evolutionary Genetics, Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - Anastasiya V Kharlamova
- The Laboratory of Evolutionary Genetics, Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - Gregory M Acland
- Baker Institute for Animal Health, Cornell University, College of Veterinary Medicine, Ithaca, New York
| | - Erin E Hecht
- Department of Human Evolutionary Biology, Harvard University, Cambridge, Massachusetts
| | - Xu Wang
- Department of Pathobiology, Auburn University, College of Veterinary Medicine, Auburn, Alabama
| | - Andrew G Clark
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York
| | - Lyudmila N Trut
- The Laboratory of Evolutionary Genetics, Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - Susanta K Behura
- MU Informatics Institute, University of Missouri, Columbia, Missouri.,Division of Animal Sciences, University of Missouri, Columbia, Missouri
| | - Anna V Kukekova
- Department of Animal Sciences, College of Agricultural, Consumer, and Environmental Sciences, University of Illinois, Urbana, Illinois
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Deng SP, Hu W, Calhoun VD, Wang YP. Integrating Imaging Genomic Data in the Quest for Biomarkers of Schizophrenia Disease. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2018; 15:1480-1491. [PMID: 28880187 PMCID: PMC6207076 DOI: 10.1109/tcbb.2017.2748944] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
It's increasingly important but difficult to determine potential biomarkers of schizophrenia (SCZ) disease, owing to the complex pathophysiology of this disease. In this study, a network-fusion based framework was proposed to identify genetic biomarkers of the SCZ disease. A three-step feature selection was applied to single nucleotide polymorphisms (SNPs), DNA methylation, and functional magnetic resonance imaging (fMRI) data to select important features, which were then used to construct two gene networks in different states for the SNPs and DNA methylation data, respectively. Two health networks (one is for SNP data and the other is for DNA methylation data) were combined into one health network from which health minimum spanning trees (MSTs) were extracted. Two disease networks also followed the same procedures. Those genes with significant changes were determined as SCZ biomarkers by comparing MSTs in two different states and they were finally validated from five aspects. The effectiveness of the proposed discovery framework was also demonstrated by comparing with other network-based discovery methods. In summary, our approach provides a general framework for discovering gene biomarkers of the complex diseases by integrating imaging genomic data, which can be applied to the diagnosis of the complex diseases in the future.
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Affiliation(s)
- Su-Ping Deng
- Department of Biomedical Engineering, School of Science and Engineering, Tulane University, New Orleans, LA 70118, USA.,
| | - Wenxing Hu
- Department of Biomedical Engineering, School of Science and Engineering, Tulane University, New Orleans, LA 70118, USA.,
| | | | - Yu-Ping Wang
- Department of Biomedical Engineering, School of Science and Engineering, Tulane University, New Orleans, LA 70118, USA., , Telephone: (504)865-5867, Fax: (504)862-8779
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6
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Sethi MK, Zaia J. Extracellular matrix proteomics in schizophrenia and Alzheimer's disease. Anal Bioanal Chem 2017; 409:379-394. [PMID: 27601046 PMCID: PMC5203946 DOI: 10.1007/s00216-016-9900-6] [Citation(s) in RCA: 76] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2016] [Revised: 08/16/2016] [Accepted: 08/23/2016] [Indexed: 12/17/2022]
Abstract
Brain extracellular matrix (ECM) is a highly organized system that consists of collagens, noncollagenous proteins, glycoproteins, hyaluronan, and proteoglycans. Recognized physiological roles of ECM include developmental regulation, tissue homeostasis, cell migration, cell proliferation, cell differentiation, neuronal plasticity, and neurite outgrowth. Aberrant ECM structure is associated with brain neurodegenerative conditions. This review focuses on two neurodegenerative conditions, schizophrenia and Alzheimer's disease, and summarizes recent findings of altered ECM components, including proteoglycans, glycosaminoglycans, proteins, and glycoproteins, and proteins and genes related to other brain components. The scope includes immunohistochemical, genomics, transcriptomics, proteomics, and glycomics studies, and a critical assessment of current state of proteomic studies for neurodegenerative disorders. The intent is to summarize the ECM molecular alterations associated with neurodegenerative pathophysiology. Graphical Abstract Brain extracellular matrix showing HSPGs, CSPGs, HA, collagens, and other glycoproteins.
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Affiliation(s)
- Manveen K Sethi
- Center for Biomedical Mass Spectrometry, Department of Biochemistry, Cell Biology & Genomics, Boston University School of Medicine, Boston, MA, 02118, USA
| | - Joseph Zaia
- Center for Biomedical Mass Spectrometry, Department of Biochemistry, Cell Biology & Genomics, Boston University School of Medicine, Boston, MA, 02118, USA.
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7
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Ran C, Mehdi RN, Fardell C, Xiang F, Nissbrandt H, Sydow O, Wirdefeldt K, Belin AC. No Association Between rs7077361 in ITGA8 and Parkinson's Disease in Sweden. Open Neurol J 2016; 10:25-9. [PMID: 27583043 PMCID: PMC4994103 DOI: 10.2174/1874205x01610010025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2016] [Revised: 05/10/2016] [Accepted: 05/15/2016] [Indexed: 11/22/2022] Open
Abstract
Background: Integrin alpha 8 (ITGA8) encodes the alpha 8 subunit of the integrin alpha8beta1 protein and has recently been suggested as a new candidate gene for Parkinson’s disease, an age related neurodegenerative disease with unknown etiology. ITGA8 is a transmembrane protein involved in several cellular processes, such as cell adhesion, migration and cytoskeletal rearrangement. Objective: Screen a Swedish case control material for rs7077361, a genetic variant in ITGA8, in order to investigate its possible implication in Parkinson’s disease in Sweden. Method: Rs7077361 was genotyped using TaqMan quantitative Real-time PCR and tested for association using appropriate statistical methods. Results: We have screened 502 Swedish Parkinson patients and 599 healthy control individuals for rs7077361 in ITGA8. This genetic variant was in Hardy Weinberg equilibrium in the Swedish population. Allele and genotype frequencies were highly similar between the patients and controls and statistical testing showed that this genetic maker did not associate with Parkinson’s disease (p=0.67). Conclusion: Our results do not support the hypothesis of ITGA8 as a candidate gene for Parkinson’s disease in Sweden.
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Affiliation(s)
- Caroline Ran
- Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | | | - Camilla Fardell
- Department of Pharmacology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Fengqing Xiang
- Department of Women´s and Children´s Health, Karolinska Institutet, Stockholm, Sweden
| | - Hans Nissbrandt
- Department of Pharmacology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Olof Sydow
- Department of Neurology, Karolinska University Hospital Solna, Stockholm, Sweden
| | - Karin Wirdefeldt
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
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In Sickness and in Health: Perineuronal Nets and Synaptic Plasticity in Psychiatric Disorders. Neural Plast 2015; 2016:9847696. [PMID: 26839720 PMCID: PMC4709762 DOI: 10.1155/2016/9847696] [Citation(s) in RCA: 80] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2015] [Accepted: 09/27/2015] [Indexed: 12/25/2022] Open
Abstract
Rapidly emerging evidence implicates perineuronal nets (PNNs) and extracellular matrix (ECM) molecules that compose or interact with PNNs, in the pathophysiology of several psychiatric disorders. Studies on schizophrenia, autism spectrum disorders, mood disorders, Alzheimer's disease, and epilepsy point to the involvement of ECM molecules such as chondroitin sulfate proteoglycans, Reelin, and matrix metalloproteases, as well as their cell surface receptors. In many of these disorders, PNN abnormalities have also been reported. In the context of the “quadripartite” synapse concept, that is, the functional unit composed of the pre- and postsynaptic terminals, glial processes, and ECM, and of the role that PNNs and ECM molecules play in regulating synaptic functions and plasticity, these findings resonate with one of the most well-replicated aspects of the pathology of psychiatric disorders, that is, synaptic abnormalities. Here we review the evidence for PNN/ECM-related pathology in these disorders, with particular emphasis on schizophrenia, and discuss the hypothesis that such pathology may significantly contribute to synaptic dysfunction.
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Yarosh HL, Meda SA, de Wit H, Hart AB, Pearlson GD. Multivariate analysis of subjective responses to d-amphetamine in healthy volunteers finds novel genetic pathway associations. Psychopharmacology (Berl) 2015; 232:2781-94. [PMID: 25843748 PMCID: PMC4504822 DOI: 10.1007/s00213-015-3914-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/25/2014] [Accepted: 03/06/2015] [Indexed: 11/24/2022]
Abstract
RATIONALE Researchers studying behavioral and physiologic effects of d-amphetamine have explored individual response differences to the drug. Concurrently, genome-wide analyses have identified several single-nucleotide polymorphisms (SNPs) associated with these traits. Univariate methods can identify SNPs associated with behavioral and physiological traits, but multivariate analyses allow identification of clusters of related biologically relevant SNPs and behavioral components. OBJECTIVES The aim of the study was to identify clusters of related biologically relevant SNPs and behavioral components in the responses of healthy individuals to d-amphetamine using multivariate analysis. METHODS Individuals (N = 375) without substance abuse histories completed surveys and detailed cardiovascular monitoring during randomized, blinded sessions: d-amphetamine (10 and 20 mg) and placebo. We applied parallel independent component analysis (Para-ICA) to data previously analyzed with univariate approaches, revealing new associations between genes and behavioral responses to d-amphetamine. RESULTS Three significantly associated (p < .001) phenotype-genotype pairs emerged. The first component included physiologic measures of systolic and diastolic blood pressure (BP) and mean arterial pressure (MAP) along with SNPs in calcium and glutamatergic signaling pathways. The second associated components included the "Anger" items from the Profile of Mood States (POMS) questionnaire and the marijuana effects from the Addiction Research Center Inventory (Cuyas, Verdejo-Garcia et al.), with enriched genetic pathways involved in cardiomyopathy and MAPK signaling. The final pair included "Anxious," "Fatigue," and "Confusion" items from the POMS questionnaire, plus functional pathways related to cardiac muscle contraction and cardiomyopathy. CONCLUSIONS Multifactorial genetic networks related to calcium signaling, glutamatergic and dopaminergic synapse function, and amphetamine addiction appear to mediate common behavioral and cardiovascular responses to d-amphetamine.
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Affiliation(s)
- Haley L. Yarosh
- Olin Neuropsychiatry Research Center, Institute of Living at Hartford Hospital, Hartford, Connecticut,Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Shashwath A. Meda
- Olin Neuropsychiatry Research Center, Institute of Living at Hartford Hospital, Hartford, Connecticut
| | - Harriet de Wit
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, Illinois
| | - Amy B. Hart
- Department of Human Genetics, University of Chicago, Chicago, Illinois
| | - Godfrey D. Pearlson
- Olin Neuropsychiatry Research Center, Institute of Living at Hartford Hospital, Hartford, Connecticut,Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut,Department of Neurobiology, Yale University School of Medicine, New Haven, Connecticut
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10
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Exome sequencing to detect rare variants associated with general cognitive ability: a pilot study. Twin Res Hum Genet 2015; 18:117-25. [PMID: 25744449 DOI: 10.1017/thg.2015.10] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Variation in human cognitive ability is of consequence to a large number of health and social outcomes and is substantially heritable. Genetic linkage, genome-wide association, and copy number variant studies have investigated the contribution of genetic variation to individual differences in normal cognitive ability, but little research has considered the role of rare genetic variants. Exome sequencing studies have already met with success in discovering novel trait-gene associations for other complex traits. Here, we use exome sequencing to investigate the effects of rare variants on general cognitive ability. Unrelated Scottish individuals were selected for high scores on a general component of intelligence (g). The frequency of rare genetic variants (in n = 146) was compared with those from Scottish controls (total n = 486) who scored in the lower to middle range of the g distribution or on a proxy measure of g. Biological pathway analysis highlighted enrichment of the mitochondrial inner membrane component and apical part of cell gene ontology terms. Global burden analysis showed a greater total number of rare variants carried by high g cases versus controls, which is inconsistent with a mutation load hypothesis whereby mutations negatively affect g. The general finding of greater non-synonymous (vs. synonymous) variant effects is in line with evolutionary hypotheses for g. Given that this first sequencing study of high g was small, promising results were found, suggesting that the study of rare variants in larger samples would be worthwhile.
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