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Book
Out of my mind
Author:
ISBN: 088977692X 0889776903 088977689X 9780889776920 9780889776906 9780889776890 Year: 2020 Publisher: Regina, Saskatchewan

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Abstract

"A psychologist's account of his own experience with bipolar disorder. On paper, psychologist Dr. Shalom Camenietzski seemed to have it all--a beautiful family, a thriving practice, and supportive friends and colleagues. But in reality, he lived a life of turmoil--obsessive daydreams of taking his life, flamboyant periods of mania, disturbing acts of violence against his wife and son, and various episodes of psychosis, one of which would see him speeding his car the wrong way up Toronto's Gardiner Expressway. Able to understand the clinical profile of his bipolar disorder, he was nonetheless powerless to stop it. A fascinating account of a "mentally disordered healer," Out of My Mind reveals the strengths and fallibilities of traditional psychotherapies and shows how Dr. Camenietzki finally obtained a symptom-free life. Shalom Camenietzki is a registered psychologist and psychotherapist with forty years of clinical experience. In addition to his professional background, he has published numerous fictional works, including The Atheist's Bible. He lives in Toronto."--


Book
Molecular Psychiatry
Authors: ---
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

The book highlights important aspects of Molecular Psychiatry, including molecular mechanisms, animal models, biomarkers, advanced methods, drugs and antidepressant response, as well as genetics and epigenetics. Molecular mechanisms are a vital part of the search for the biological basis of psychiatric disorders, providing molecular hints that can later be tested as biomarkers or targets for drug development. Animal models represent a commonly used approach to aid in this bench-to-bed translation; the examples here are social defeat stress and the Roman High-Avoidance (RHA) and the Roman Low-Avoidance (RLA) rats. For biomarkers, psychiatric disorders pose a particular challenge due to the tissue specificity of many currently investigated biomarkers; i.e., not all blood-based measures directly represent changes in the brain. The Ebook includes five articles focused on the challenges of identifying clinically and biologically relevant biomarkers for psychiatric disorders. Scientific progress typically is fostered by the development of new methods. The application of machine learning methods for the proper analysis of Big Data and induced pluripotent stem cells are examples outlined in this Ebook. Furthermore, three articles are devoted to the understanding of the mechanisms of actions of existing drugs with the ultimate goal of identifying ways to predict treatment response in patients. Finally, three articles deepen the insight into the genetics and epigenetics of psychiatric disorders.

Keywords

Medicine --- Mental health services --- cardiovascular disease --- cell adhesion molecules --- immunology --- inflammation --- nervous system --- schizophrenia --- bipolar disorder --- major depressive disorder --- DNA methylation --- response variability --- antipsychotics --- drug design --- multi-target drugs --- polypharmacology --- multi-task learning --- machine learning --- biomarker discovery --- psychiatry --- serotonin --- 5-HT 4 receptor --- 5-HT4R --- depression --- mood disorder --- expression --- Alzheimer's disease --- cognition --- Parkinson's disease --- forced swimming --- Roman rat lines --- stress --- hippocampus --- BDNF --- trkB --- PSA-NCAM --- western blot --- immunohistochemistry --- general cognitive function --- intelligence --- GWAS --- genetic correlation --- childhood-onset schizophrenia (COS) --- induced pluripotent stem cell (iPSC) --- copy number variation (CNV) --- early neurodevelopment --- neuronal differentiation --- synapse --- dendritic arborization --- miRNAs --- stress physiology --- cytoskeleton --- actin dynamics --- DRR1 --- TU3A --- FAM107A --- acid sphingomyelinase --- alcohol dependence --- liver enzymes --- sphingolipid metabolism --- withdrawal --- Hsp90 --- GR --- stress response --- steroid hormones --- molecular chaperones --- psychiatric disease --- circadian rhythms --- FKBP51 --- FKBP52 --- CyP40 --- PP5 --- DISC1 --- neurodevelopment --- CRMP-2 --- proteomics --- antidepressant treatment --- HPA axis --- gene expression --- FKBP5 --- sleep --- sleep EEG --- biomarkers --- antidepressants --- cordance --- gender --- sex difference --- antidepressant --- rapid-acting --- Ketamine --- endocrinology --- (2R,6R)-Hydroxynorketamine --- electroconvulsive therapy --- basic-helix-loop-helix --- brain --- coactivator --- glucocorticoids --- mineralocorticoid receptor knockout --- transcription biology --- dopaminergic gene polymorphisms --- affective temperament --- obesity --- alpha-synuclein --- SNCA --- major depression --- Hamilton Scale of Depression --- chemokines --- neuroinflammation --- social defeat --- Immune response --- T cells --- susceptibility --- resilience --- Treg cells --- Th17 cells --- behavior --- PPARγ --- cardiovascular disease --- cell adhesion molecules --- immunology --- inflammation --- nervous system --- schizophrenia --- bipolar disorder --- major depressive disorder --- DNA methylation --- response variability --- antipsychotics --- drug design --- multi-target drugs --- polypharmacology --- multi-task learning --- machine learning --- biomarker discovery --- psychiatry --- serotonin --- 5-HT 4 receptor --- 5-HT4R --- depression --- mood disorder --- expression --- Alzheimer's disease --- cognition --- Parkinson's disease --- forced swimming --- Roman rat lines --- stress --- hippocampus --- BDNF --- trkB --- PSA-NCAM --- western blot --- immunohistochemistry --- general cognitive function --- intelligence --- GWAS --- genetic correlation --- childhood-onset schizophrenia (COS) --- induced pluripotent stem cell (iPSC) --- copy number variation (CNV) --- early neurodevelopment --- neuronal differentiation --- synapse --- dendritic arborization --- miRNAs --- stress physiology --- cytoskeleton --- actin dynamics --- DRR1 --- TU3A --- FAM107A --- acid sphingomyelinase --- alcohol dependence --- liver enzymes --- sphingolipid metabolism --- withdrawal --- Hsp90 --- GR --- stress response --- steroid hormones --- molecular chaperones --- psychiatric disease --- circadian rhythms --- FKBP51 --- FKBP52 --- CyP40 --- PP5 --- DISC1 --- neurodevelopment --- CRMP-2 --- proteomics --- antidepressant treatment --- HPA axis --- gene expression --- FKBP5 --- sleep --- sleep EEG --- biomarkers --- antidepressants --- cordance --- gender --- sex difference --- antidepressant --- rapid-acting --- Ketamine --- endocrinology --- (2R,6R)-Hydroxynorketamine --- electroconvulsive therapy --- basic-helix-loop-helix --- brain --- coactivator --- glucocorticoids --- mineralocorticoid receptor knockout --- transcription biology --- dopaminergic gene polymorphisms --- affective temperament --- obesity --- alpha-synuclein --- SNCA --- major depression --- Hamilton Scale of Depression --- chemokines --- neuroinflammation --- social defeat --- Immune response --- T cells --- susceptibility --- resilience --- Treg cells --- Th17 cells --- behavior --- PPARγ


Book
Molecular Psychiatry
Authors: ---
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

The book highlights important aspects of Molecular Psychiatry, including molecular mechanisms, animal models, biomarkers, advanced methods, drugs and antidepressant response, as well as genetics and epigenetics. Molecular mechanisms are a vital part of the search for the biological basis of psychiatric disorders, providing molecular hints that can later be tested as biomarkers or targets for drug development. Animal models represent a commonly used approach to aid in this bench-to-bed translation; the examples here are social defeat stress and the Roman High-Avoidance (RHA) and the Roman Low-Avoidance (RLA) rats. For biomarkers, psychiatric disorders pose a particular challenge due to the tissue specificity of many currently investigated biomarkers; i.e., not all blood-based measures directly represent changes in the brain. The Ebook includes five articles focused on the challenges of identifying clinically and biologically relevant biomarkers for psychiatric disorders. Scientific progress typically is fostered by the development of new methods. The application of machine learning methods for the proper analysis of Big Data and induced pluripotent stem cells are examples outlined in this Ebook. Furthermore, three articles are devoted to the understanding of the mechanisms of actions of existing drugs with the ultimate goal of identifying ways to predict treatment response in patients. Finally, three articles deepen the insight into the genetics and epigenetics of psychiatric disorders.

Keywords

cardiovascular disease --- cell adhesion molecules --- immunology --- inflammation --- nervous system --- schizophrenia --- bipolar disorder --- major depressive disorder --- DNA methylation --- response variability --- antipsychotics --- drug design --- multi-target drugs --- polypharmacology --- multi-task learning --- machine learning --- biomarker discovery --- psychiatry --- serotonin --- 5-HT 4 receptor --- 5-HT4R --- depression --- mood disorder --- expression --- Alzheimer’s disease --- cognition --- Parkinson’s disease --- forced swimming --- Roman rat lines --- stress --- hippocampus --- BDNF --- trkB --- PSA-NCAM --- western blot --- immunohistochemistry --- general cognitive function --- intelligence --- GWAS --- genetic correlation --- childhood-onset schizophrenia (COS) --- induced pluripotent stem cell (iPSC) --- copy number variation (CNV) --- early neurodevelopment --- neuronal differentiation --- synapse --- dendritic arborization --- miRNAs --- stress physiology --- cytoskeleton --- actin dynamics --- DRR1 --- TU3A --- FAM107A --- acid sphingomyelinase --- alcohol dependence --- liver enzymes --- sphingolipid metabolism --- withdrawal --- Hsp90 --- GR --- stress response --- steroid hormones --- molecular chaperones --- psychiatric disease --- circadian rhythms --- FKBP51 --- FKBP52 --- CyP40 --- PP5 --- DISC1 --- neurodevelopment --- CRMP-2 --- proteomics --- antidepressant treatment --- HPA axis --- gene expression --- FKBP5 --- sleep --- sleep EEG --- biomarkers --- antidepressants --- cordance --- gender --- sex difference --- antidepressant --- rapid-acting --- Ketamine --- endocrinology --- (2R,6R)-Hydroxynorketamine --- electroconvulsive therapy --- basic-helix-loop-helix --- brain --- coactivator --- glucocorticoids --- mineralocorticoid receptor knockout --- transcription biology --- dopaminergic gene polymorphisms --- affective temperament --- obesity --- alpha-synuclein --- SNCA --- major depression --- Hamilton Scale of Depression --- chemokines --- neuroinflammation --- social defeat --- Immune response --- T cells --- susceptibility --- resilience --- Treg cells --- Th17 cells --- behavior --- PPARγ --- n/a --- Alzheimer's disease --- Parkinson's disease

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