Special Issue on Gene expression in neurologic and psychiatric disorders

2011 ◽  
Vol 42 (2) ◽  
pp. 101
Author(s):  
Elliott J. Mufson
2021 ◽  
Vol 10 (2) ◽  
pp. 178
Author(s):  
Marcus L. F. Janssen ◽  
Yasin Temel

Deep brain stimulation (DBS) has been successfully applied in several neurological and psychiatric disorders [...]


Author(s):  
Andreas Menke

Major depressive disorder (MDD) is a common, serious and in some cases life‐threatening condition and affects approximately 350 million people globally (Otte et al., 2016). The magnitude of the clinical burden reflects the limited effectiveness of current available therapies. The current prescribed antidepressants are based on modulating monoaminergic neurotransmission, i.e. they improve central availability of serotonin, norepinephrine and dopamine. However, they are associated with a high rate of partial or non-response, delayed response onset and limited duration. Actually more than 50% of the patients fail to respond to their first antidepressant they receive. Therefore there is a need of new treatment approaches targeting other systems than the monoaminergic pathway. One of the most robust findings in biological psychiatry is a dysregulation of the hypothalamic-pituitary-adrenal (HPA) axis in major depression (Holsboer, 2000). Many studies observed an increased production of the corticotropin-releasing hormone (CRH) in the hypothalamus, leading to an increased release of adrenocorticotropic hormone (ACTH) from the pituitary and subsequently to an enhanced production of cortisol in the adrenal cortex. Due to an impaired sensitivity of the glucocorticoid receptor (GR) the negative feedback mechanisms usually restoring homeostasis after a stress triggered cortisol release are not functioning properly (Holsboer, 2000, Pariante and Miller, 2001). However, treatment strategies targeting the GR or the CRH receptors have not been successful for a general patient population. Selecting the right patients for these treatment alternatives may improve therapy outcome, since a dysregulation of the HPA axis affects only 40-60 % of the depressed patients. Thus, patients with a dysregulated HPA axis have first to be identified and then allocated to a specific treatment regime. Tests like the dexamethasone-suppression-test (DST) or the dex-CRH test have been shown to uncover GR sensitivity deficits, but are not routinely applied in the clinical setting. Recently, the dexamethasone-induced gene expression could uncover GR alterations in participants suffering from major depression and job-related exhaustion (Menke et al., 2012, Menke et al., 2013, Menke et al., 2014, Menke et al., 2016). Actually, by applying the dexamethasone-stimulation test we found a GR hyposensitivity in depressed patients (Menke et al., 2012) and a GR hypersensitivity in subjects with job-related exhaustion (Menke et al., 2014). These alterations normalized after clinical recovery (Menke et al., 2014). Interestingly, the dexamethasone-stimulation test also uncovered FKBP5 genotype dependent alterations in FKBP5 mRNA expression in depressed patients and healthy controls (Menke et al., 2013). FKBP5 is a co-chaperone which modulates the sensitivity of the GR (Binder, 2009). In addition, the dexamethasone-stimulation test provided evidence of common genetic variants that modulate the immediate transcriptional response to GR activation in peripheral human blood cells and increase the risk for depression and co-heritable psychiatric disorders (Arloth et al., 2015). In conclusion, the molecular dexamethasone-stimulation test may thus help to characterize subgroups of subjects suffering from stress-related conditions and in the long-run may be helpful to guide treatment regime as well as prevention strategies.   References: Arloth J, Bogdan R, Weber P, Frishman G, Menke A, Wagner KV, Balsevich G, Schmidt MV, Karbalai N, Czamara D, Altmann A, Trumbach D, Wurst W, Mehta D, Uhr M, Klengel T, Erhardt A, Carey CE, Conley ED, Major Depressive Disorder Working Group of the Psychiatric Genomics C, Ruepp A, Muller-Myhsok B, Hariri AR, Binder EB, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium PGC (2015) Genetic Differences in the Immediate Transcriptome Response to Stress Predict Risk-Related Brain Function and Psychiatric Disorders. Neuron 86:1189-1202. Binder EB (2009) The role of FKBP5, a co-chaperone of the glucocorticoid receptor in the pathogenesis and therapy of affective and anxiety disorders. Psychoneuroendocrinology 34 Suppl 1:S186-195. Holsboer F (2000) The corticosteroid receptor hypothesis of depression. Neuropsychopharmacology 23:477-501. Menke A, Arloth J, Best J, Namendorf C, Gerlach T, Czamara D, Lucae S, Dunlop BW, Crowe TM, Garlow SJ, Nemeroff CB, Ritchie JC, Craighead WE, Mayberg HS, Rex-Haffner M, Binder EB, Uhr M (2016) Time-dependent effects of dexamethasone plasma concentrations on glucocorticoid receptor challenge tests. Psychoneuroendocrinology 69:161-171. Menke A, Arloth J, Gerber M, Rex-Haffner M, Uhr M, Holsboer F, Binder EB, Holsboer-Trachsler E, Beck J (2014) Dexamethasone stimulated gene expression in peripheral blood indicates glucocorticoid-receptor hypersensitivity in job-related exhaustion. Psychoneuroendocrinology 44:35-46. Menke A, Arloth J, Putz B, Weber P, Klengel T, Mehta D, Gonik M, Rex-Haffner M, Rubel J, Uhr M, Lucae S, Deussing JM, Muller-Myhsok B, Holsboer F, Binder EB (2012) Dexamethasone Stimulated Gene Expression in Peripheral Blood is a Sensitive Marker for Glucocorticoid Receptor Resistance in Depressed Patients. Neuropsychopharmacology 37:1455-1464. Menke A, Klengel T, Rubel J, Bruckl T, Pfister H, Lucae S, Uhr M, Holsboer F, Binder EB (2013) Genetic variation in FKBP5 associated with the extent of stress hormone dysregulation in major depression. Genes Brain Behav  12:289-296. Otte C, Gold SM, Penninx BW, Pariante CM, Etkin A, Fava M, Mohr DC, Schatzberg AF (2016) Major depressive disorder. Nature reviews Disease primers 2:16065. Pariante CM, Miller AH (2001) Glucocorticoid receptors in major depression: relevance to pathophysiology and treatment. Biological psychiatry 49:391-404.


2021 ◽  
Author(s):  
Zachary F Gerring ◽  
Jackson G Thorp ◽  
Eric R Gamazon ◽  
Eske M Derks

ABSTRACTGenome-wide association studies (GWASs) have identified thousands of risk loci for many psychiatric and substance use phenotypes, however the biological consequences of these loci remain largely unknown. We performed a transcriptome-wide association study of 10 psychiatric disorders and 6 substance use phenotypes (collectively termed “mental health phenotypes”) using expression quantitative trait loci data from 532 prefrontal cortex samples. We estimated the correlation due to predicted genetically regulated expression between pairs of mental health phenotypes, and compared the results with the genetic correlations. We identified 1,645 genes with at least one significant trait association, comprising 2,176 significant associations across the 16 mental health phenotypes of which 572 (26%) are novel. Overall, the transcriptomic correlations for phenotype pairs were significantly higher than the respective genetic correlations. For example, attention deficit hyperactivity disorder and autism spectrum disorder, both childhood developmental disorders, showed a much higher transcriptomic correlation (r=0.84) than genetic correlation (r=0.35). Finally, we tested the enrichment of phenotype-associated genes in gene co-expression networks built from prefrontal cortex. Phenotype-associated genes were enriched in multiple gene co-expression modules and the implicated modules contained genes involved in mRNA splicing and glutamatergic receptors, among others. Together, our results highlight the utility of gene expression data in the understanding of functional gene mechanisms underlying psychiatric disorders and substance use phenotypes.


Author(s):  
Charlotte A.M. Cecil

The biopsychosocial (BPS) model of psychiatry has had a major impact on our modern conceptualization of mental illness as a complex, multi-determined phenomenon. Yet, interdisciplinary BPS work remains the exception, rather than the rule in psychiatry. It has been suggested that this may stem in part from a failure of the BPS model to clearly delineate the mechanisms through which biological, psychological, and social factors co-act in the development of mental illness. This chapter discusses how epigenetic processes that regulate gene expression, such as DNA methylation, are fast emerging as a candidate mechanism for BPS interactions, with potentially widespread implications for the way that psychiatric disorders are understood, assessed, and, perhaps in future, even treated.


Author(s):  
Gursharan Chana ◽  
Stephen J. Glatt ◽  
Ian P. Everall ◽  
Ming T. Tsuang

2005 ◽  
Vol 44 (03) ◽  
pp. 392-399 ◽  
Author(s):  
U. Mansmann ◽  
E. Brunner ◽  
A. Ziegler ◽  
D. Repsilber

Summary Objectives: With the collection of articles presented in this special issue, we aim at educating interested statisticians and biometricians on the one hand as well as biologists and medical researchers on the other with respect to basic necessities in planning, conducting and analyzing microarray gene expression experiments. The reader should get comprehensive directions to understand both the overall structure of this approach as well as the decisive details, which enable – or thwart – a meaningful data analysis. Methods: For a one-day workshop with tutorial character we brought together experts in design, conduct and analysis of microarray gene expression experiments who prepared a series of comprehensive lessons. These contributions were then reworked into a series of introductory articles and bundled in form and content as a Special Topic. Results: It was possible to present a tutorial overview of the field. The interested reader was able to learn the basic necessities and was referred to further references for details on the possible alternatives. A recipe style all-embracing plan, covering all eventualities and possibilities was not only beyond the scope of an introductory tutorial-like presentation, but was also not yet agreed upon by the scientific society. Conclusions: It proved feasible to find a framework for integrating the interdisciplinary approaches to the challenging field of gene expression analysis with microarrays, hopefully contributing to a rapid and comprehensive introduction for novices.


2011 ◽  
Vol 2 (2) ◽  
Author(s):  
Monojit Debnath ◽  
Karen Doyle ◽  
Camilla Langan ◽  
Colm McDonald ◽  
Brian Leonard ◽  
...  

AbstractPsychiatric disorders are common and complex and their precise biological underpinnings remain elusive. Multiple epidemiological, molecular, genetic and gene expression studies suggest that immune system dysfunction may contribute to the risk for developing psychiatric disorders including schizophrenia, bipolar disorder, and major depressive disorder. However, the precise mechanisms by which inflammation-related events confer such risk are unclear. In this review, we examine the peripheral and central evidence for inflammation in psychiatric disorders and the potential molecular mechanisms implicated including inhibition of neurogenesis, apoptosis, the HPA-axis, the role of brain-derived neurotrophic factor and the interplay between the glutamatergic, dopaminergic and serotonergic neurotransmitter systems.


2017 ◽  
Vol 81 (10) ◽  
pp. S224-S225
Author(s):  
Derrek Hibar ◽  
Andrew Jaffe ◽  
Joo Heon Shin ◽  
BrainSeq Consortium ◽  
Thomas Hyde ◽  
...  

2019 ◽  
Vol 85 (10) ◽  
pp. S354
Author(s):  
Bianca Pfaffenseller ◽  
Giovana Bristot ◽  
Marco Antônio De Bastiani ◽  
Flávio Kapczinski ◽  
Márcia Kauer-Sant’Anna

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