Bipolar disorder (BD) is a neuropsychiatric mood disorder characterized by recurrent episodes of mania and depression in addition to disruptions in sleep, energy, appetite, and cognitive functions-rhythmic behaviors that typically change on daily cycles. BD symptoms can also be provoked by seasonal changes, sleep, and/or circadian disruption, indicating that chronobiological factors linked to the circadian clock may be a common feature in the disorder. Research indicates that BD exists on a clinical spectrum, with distinct subtypes often intersecting with other psychiatric disorders. This heterogeneity has been a major challenge to BD research and contributes to problems in diagnostic stability and treatment outcomes. To address this heterogeneity, we propose that chronobiologically related biomarkers could be useful in classifying BD into objectively measurable phenotypes to establish better diagnoses, inform treatments, and perhaps lead to better clinical outcomes. Presently, we review the biological basis of circadian time keeping in humans, discuss the links of BD to the circadian clock, and pre-sent recent studies that evaluated chronobiological measures as a basis for establishing BD phenotypes. We conclude that chronobiology may inform future research using other novel techniques such as genomics, cell biology, and advanced behavioral analyses to establish new and more biologically based BD phenotypes.
PTEN is a lipid and protein phosphatase that regulates cell growth and survival. Mutations to PTEN are highly penetrant for autism spectrum disorder (ASD). Here, we briefly review the evidence linking PTEN mutations to ASD and the mouse models that have been used to study the role of PTEN in neurodevelopment. We then focus on the cellular phenotypes associated with PTEN loss in neurons, highlighting the role PTEN plays in neuronal proliferation, migration, survival, morphology, and plasticity.
Sleep disturbance affects about 75% of depressed individuals and is associated with poorer patient outcomes. The genetics in this field is an emerging area of research. Thus far, only core circadian genes have been examined in this context. We expanded on this by performing a genome-wide association study (GWAS) followed by a preplanned hypothesis-driven analysis with 27 genes associated with the biology of sleep. All participants were diagnosed by their referring physician, completed the Beck Depression Inventory (BDI), and the Udvalg for Kliniske Undersogelser Side Effect Rating Scale at baseline. Our phenotype consisted of replies to 3 questions from these questionnaires. From standard GWAS chip data, imputations were performed. Baseline total BDI scores (n = 364) differed significantly between those with and those without sleep problems. We were unable to find any significant GWAS hits although our top hit was for changes in sleep and an intergenic marker near SNX18 (p = 1.06 × 10–6). None of the markers in our hypothesis-driven analysis remained significant after applying Bonferroni corrections. Our top finding among these genes was for rs13019460 of Neuronal PAS Domain Protein 2 with changes in sleep (p = 0.0009). Overall, both analyses were unable to detect any significant associations in our modest sample though we did find some interesting preliminary associations worth further exploration.
Glutamate is implicated in the neuropathology of both major depressive disorder and bipolar disorder. Excitatory amino acid transporter 2 (EAAT2) is the major glutamate transporter in the mammalian brain, removing glutamate from the synaptic cleft and transporting it into glia for recycling. It is thereby the principal regulator of extracellular glutamate levels and prevents neuronal excitotoxicity. EAAT2 is a promising target for elucidating the mechanisms by which the glutamate-glutamine cycle interacts with neuronal systems in mood disorders. Forty EAAT2 studies (published January 1992–January 2018) were identified via a systematic literature search. The studies demonstrated that chronic stress/steroids were most commonly associated with decreased EAAT2. In rodents, EAAT2 inhibition worsened depressive behaviors. Human EAAT2 expression usually decreased in depression, with some regional brain differences. Fewer data have been collected regarding the roles and regulation of EAAT2 in bipolar disorder. Future directions for research include correlating EAAT2 and glutamate levelsin vivo, elucidating genetic variability and epigenetic regulation, clarifying intracellular protein and pharmacologic interactions, and examining EAAT2 in different bipolar mood states. As part of a macromolecular complex within glia, EAAT2 may contribute significantly to intracellular signaling, energy regulation, and cellular homeostasis. An enhanced understanding of this system is needed.
Around 300 million individuals are affected by major depressive disorder (MDD) in the world. Despite this high number of affected individuals, more than 50% of patients do not respond to antidepressants approved to treat MDD. Patients with MDD that do not respond to 2 or more first-line antidepressant treatments are considered to have treatment-resistant depression (TRD). Animal models of depression are important tools to better understand the pathophysiology of MDD as well as to help in the development of novel and fast antidepressants for TRD patients. This review will emphasize some discovery strategies for TRD from studies on animal models, including, antagonists of N-methyl-D-aspartate (NMDA) receptor (ketamine and memantine), electroconvulsive therapy (ECT), lithium, minocycline, quetiapine, and deep brain stimulation. Animal models of depression are not sufficient to represent all the traits of TRD, but they greatly aid in understanding the mechanism by which therapies that work for TRD exert antidepressant effects. Interestingly, these innovative therapies have mechanisms of action different from those of classic antidepressants. These effects are mainly related to the regulation of neurotransmitter activity, including general glutamate and increased connectivity, synaptic capacity, and neuroplasticity.
Microglia are the primary innate immune cell type in the brain that have been implicated in the pathogenesis of several neurodegenerative and neuropsychiatric disorders, most notably Alzheimer's disease (AD) and schizophrenia. Microglia generated from human induced pluripotent stem cells (hiPSCs) represent a promising in vitro cellular model for studying the neuroimmune interactions involved in these disorders. Among several methods of generating -hiPSC-derived microglia (iMG) - varying in duration and resultant purity - a recent protocol by Brownjohn et al. [Stem Cell Reports. 2018 Apr;10(4):1294-307] is particularly simple and efficient. However, the replicability of this method, transcriptomic similarity of these iMG to primary adult microglia, and their genetic relevance to disease (i.e., enrichment of disease risk loci in genes preferentially expressed in these cells) remains unclear. Using two hiPSC lines, we demonstrated that Brownjohn's protocol can rapidly generate iMG that morphologically and functionally resembled microglia. The iMG cells we generated were found to be transcriptionally similar to previously reported iMG, as well as fetal and adult microglia. Furthermore, by using cell type-specific gene expression to partition disease heritability, we showed that iMG cells are genetically relevant to AD but found no significant enrichments of risk loci of Parkinson's disease, schizophrenia, major depressive disorder, bipolar disorder, autism spectrum disorder, or body mass index. Across a range of neuronal and immune cell types, we found only iMG, primary microglia, and microglia-like cell types exhibited a significant enrichment for AD heritability. Our results thus support the use of iMG as a human cellular model for understanding AD biology and underlying genetic factors, as well as for developing and efficiently screening new therapeutics.
Mitochondrial dysfunction has been associated with schizophrenia (SZ) and bipolar disorder (BD). This review examines recent publications and novel associations between mitochondrial genes and SZ and BD. Associations of nuclear-encoded mitochondrial variants with SZ were found using gene- and pathway-based approaches. Two control region mitochondrial DNA (mtDNA) SNPs, T16519C and T195C, both showed an association with SZ and BD. A review of 4 studies of A15218G located in the cytochrome B oxidase gene (CYTB, SZ = 11,311, control = 35,735) shows a moderate association with SZ (p = 2.15E-03). Another mtDNA allele A12308G was nominally associated with psychosis in BD type I subjects and SZ. The first published study testing the epistatic interaction between nuclear-encoded and mitochondria-encoded genes demonstrated evidence for potential interactions between mtDNA and the nuclear genome for BD. A similar analysis for the risk of SZ revealed significant joint effects (34 nuclear-mitochondria SNP pairs with joint effect p ≤ 5E-07) and significant enrichment of projection neurons. The mitochondria-encoded gene CYTB was found in both the epistatic interactions for SZ and BD and the single SNP association of SZ. Future efforts considering population stratification and polygenic risk scores will test the role of mitochondrial variants in psychiatric disorders.
There is tremendous interest in the role of the neuroimmune system and inflammatory processes in substance use disorders (SUDs). Imaging biomarkers of the neuroimmune system in vivo provide a vital translational bridge between preclinical and clinical research. Herein, we examine two imaging techniques that measure putative indices of the neuroimmune system and review their application among SUDs. Positron emission tomography (PET) imaging of 18 kDa translocator protein availability is a marker associated with microglia. Proton magnetic resonance spectroscopy quantification of myo-inositol levels is a putative glial marker found in astrocytes. Neuroinflammatory responses are initiated and maintained by microglia and astrocytes, and thus represent important imaging markers. The goal of this review is to summarize neuroimaging findings from the substance use literature that report data using these markers and discuss possible mechanisms of action. The extant literature indicates abused substances exert diverse and complex neuroimmune effects. Moreover, drug effects may change across addiction stages, i.e. the neuroimmune effects of acute drug administration may differ from chronic use. This burgeoning field has considerable potential to improve our understanding and treatment of SUDs. Future research is needed to determine how targeting the neuroimmune system may improve treatment outcomes.
Electroconvulsive therapy (ECT) is a remarkably effective treatment for major depressive disorder, but is less commonly utilized for treatment of psychotic disorders. Recent literature indicates that ECT can be a useful strategy for a wide range of psychotic disorders, including treatment-resistant schizophrenia. The purpose of this review is to examine the extant literature on ECT in schizophrenia with a primary focus on its efficacy, its impact on cognitive function, the role of maintenance ECT, and the potential role of neuroimaging biomarkers to provide more precise ECT treatment strategies. We evaluated the available literature, with a particular focus on prospective, randomized trials. Our review suggests that ECT can be an effective treatment strategy in this severely ill patient population. Studies suggest that while ECT in schizophrenia is a safe treatment modality, the potential for cognitive impairment must always be carefully weighed. The use and investigation of new biomarker strategies for the pharmacological treatment of schizophrenia, and the extension of these approaches to ECT are also discussed.
Chadi G. Abdallah – Yale University, New Haven, CT, USA Jyothi Arikkath – University of Nebraska Medical Center, Omaha, NE, USA Dimitrios Avramopoulos – Johns Hopkins University, Baltimore, MD, USA Mounira Banasr – University of Toronto, Toronto, ON, Canada Cathy L. Barr – Toronto Western Research Institute, Toronto, ON, Canada Carrie Bearden – UCLA Semel Institute, Los Angeles, CA, USA Nicholas Bray – MRC Centre for Neuropsychiatric Genetics & Genomics, Cardiff, UK Kristen Brennand – Icahn School of Medicine at Mount Sinai, New York, NY, USA Elisa Brietzke – Toronto Western Hospital, Toronto, ON, Canada Andres L. Buonanno – Porter Neuroscience Research Center, Bethesda, MD, USA Kelly Cosgrove – Yale University, New Haven, CT, USA Lynn E. DeLisi – Harvard Medical School, Brockton, MA, USA Joao Luciano De Quevedo – University of Texas Health Science Center, Houston, TX, USA Bernie Devlin – University of Pittsburgh, Pittsburgh, PA, USA Jubao Duan – University of Chicago, Chicago, IL, USA Donard Dwyer – LSU Health Shreveport, Shreveport, LA, USA Michaela D. Filiou – Max Planck Institute of Psychiatry, Munich, Germany Steven Finkbeiner – University of California, San Francisco, CA, USA Kenneth N. Fish – University of Pittsburgh, Pittsburgh, PA, USA Jan Fullerton – NeuRA, Randwick, NSW, Australia Joshua Gordon – National Institute of Mental Health, Bethesda, MD, USA Marco A. Grados –Johns Hopkins University, Baltimore, MD, USA Tiffany Greenwood – UC San Diego, La Jolla, CA, USA Jeremy Hall – Cardiff University, Cardiff, United Kingdom Steven E. Hyman – Harvard University, Cambridge, MA, USA Andrew Jaffe – Johns Hopkins University, Baltimore, MD, USA Paul Jenkins – University of Michigan, Ann Arbor, MI, USA
The retinitis pigmentosa GTPase regulator interacting protein 1-like (RPGRIP1L) gene encodes a ciliary protein that is critical for processes related to brain development, including development of left-right asymmetry, sonic hedgehog signaling, and neural tube formation. RPGRIP1L is a risk factor for retinal degeneration, and rare, deleterious variants in the RPGRIP1L gene cause Joubert syndrome and Meckel syndrome, both autosomal recessive disorders. These syndromes are characterized by dysfunctional primary cilia that result in abnormal development – and even lethality in the case of Meckel syndrome. Genetic studies have also implicated RPGRIP1L in psychiatric disorders by suggestive findings from genome-wide association studies and findings from rare-variant exome analyses for bipolar disorder and de novo mutations in autism. In this study we identify a common variant in RPGRIP1L, rs7203525, that influences alternative splicing, increasing the inclusion of exon 20 of RPGRIP1L. We detected this alternative splicing association in human postmortem brain tissue samples and, using a minigene assay combined with in vitro mutagenesis, confirmed that the alternative splicing is attributable to the alleles of this variant. The predominate RPGRIP1L isoform expressed in adult brains does not contain exon 20; thus, a shift to include this exon may impact brain function.
Altered gamma-aminobutyric acid (GABA) function is consistently reported in psychiatric disorders, normal aging, and neurodegenerative disorders and reduced function of GABA interneurons is associated with both mood and cognitive symptoms. Benzodiazepines (BZ) have broad anxiolytic, but also sedative, anticonvulsant and amnesic effects, due to nonspecific GABA-A receptor (GABAA-R) targeting. Varying the profile of activity of BZs at GABAA-Rs is predicted to uncover additional therapeutic potential. We synthesized four novel imidazobenzodiazepine (IBZD) amide ligands and tested them for positive allosteric modulation at multiple α-GABAA-R (α-positive allosteric modulators), pharmacokinetic properties, as well as anxiolytic and antidepressant activities in adult mice. Efficacy at reversing stress-induced or age-related working memory deficits was assessed using a spontaneous alternation task. Diazepam (DZP) was used as a control. Three ligands (GL-II-73, GL-II-74, and GL-II-75) demonstrated adequate brain penetration and showed predictive anxiolytic and antidepressant efficacies. GL-II-73 and GL-II-75 significantly reversed stress-induced and age-related working memory deficits. In contrast, DZP displayed anxiolytic but no antidepressant effects or effects on working memory. We demonstrate distinct profiles of anxiolytic, antidepressant, and/or pro-cognitive activities of newly designed IBZD amide ligands, suggesting novel therapeutic potential for IBZD derivatives in depression and aging.
Converging evidence suggests that deficits in somatostatin (SST)-expressing neuron signaling contributes to major depressive disorder. Preclinical studies show that enhancing this signaling, specifically at α5 subunit-containing γ-ami-nobutyric acid subtype A receptors (α5-GABAARs), provides a potential means to overcome low SST neuron function. The cortical microcircuit comprises multiple subtypes of inhibitory γ-aminobutyric acid (GABA) neurons and excitatory pyramidal cells (PYCs). In this study, multilabel fluorescence in situ hybridization was used to characterize α5-GABAAR gene expression in PYCs and three GABAergic neuron subgroups - vasoactive intestinal peptide (VIP)-, SST-, and parvalbumin (PV)-expressing cells - in the human and mouse frontal cortex. Across species, we found the majority of gene expression in PYCs (human: 39.7%; mouse: 54.14%), less abundant expression in PV neurons (human: 20%; mouse: 16.33%), and no expression in VIP neurons (0%). Only human SST cells expressed GABRA5, albeit at low levels (human: 8.3%; mouse: 0%). Together, this localization suggests potential roles for α5-GABAARs within the cortical microcircuit: (1) regulators of PYCs, (2) regulators of PV cell activity across species, and (3) sparse regulators of SST cell inhibition in humans. These results will advance our ability to predict the effects of pharmacological agents targeting α5-GABAARs, which have shown therapeutic potential in preclinical animal models.
Evidence from animal and human studies has linked myo-inositol (MI) with the pathophysiology and/or treatment of psychiatric disorders such as schizophrenia and bipolar disorder. However, there is still controversy surrounding the definitive role of MI in these disorders. Given that brain MI is differentially regulated by three transporters – SMIT1, SMIT2 and/or HMIT (encoded by the genes: SLC5A3, SLC5A11,and SLC2A13, respectively) – we used available datasets to describe the distribution in mouse and human brain of the different MI transporters and to examine changes in mRNA expression of these transporters in patients with schizophrenia and bipolar disorder. We found a differential distribution of the mRNA of each of the three MI transporters in both human and mouse brain regions. Interestingly, while individual neurons express SMIT1 and HMIT, non-neuronal cells express SMIT2, thus partially accounting for different uptake levels of MI and concordance to downstream second messenger signaling pathways. We also found that the expression of MI transporters is significantly changed in schizophrenia and bipolar disorder in a diagnostic-, brain region- and subtype-specific manner. We then examined the effects of germline deletion in mice of Slc5a3 on behavioral phenotypes related to schizophrenia and bipolar disorder. This gene deletion produces behavioral deficits that mirror some specific symptoms of schizophrenia and bipolar disorder. Finally, chronic administration of MI was able to reverse particular, but not all, behavioral deficits in Slc5a3 knockout mice; MI itself induced some behavioral deficits. Our data support a strong correlation between the expression of MI transporters and schizophrenia and bipolar disorder, and suggest that brain region-specific aberration of one or more of these transporters determines the partial behavioral phenotypes and/or symptomatic pattern of these disorders.
Alterations in synaptic signaling and plasticity occur during the refinement of neural circuits over the course of development and the adult processes of learning and memory. Synaptic plasticity requires the rearrangement of protein complexes in the postsynaptic density (PSD), trafficking of receptors and ion channels and the synthesis of new proteins. Activity-induced short Homer proteins, Homer1a and Ania-3, are recruited to active excitatory synapses, where they act as dominant negative regulators of constitutively expressed, longer Homer isoforms. The expression of Homer1a and Ania-3 initiates critical processes of PSD remodeling, the modulation of glutamate receptor-mediated functions, and the regulation of calcium signaling. Together, available data support the view that Homer1a and Ania-3 are responsible for the selective, transient destabilization of postsynaptic signaling complexes to facilitate plasticity of the excitatory synapse. The interruption of activity-dependent Homer proteins disrupts disease-relevant processes and leads to memory impairments, reflecting their likely contribution to neurological disorders.
Schizophrenia is a chronic mental disorder that is still poorly understood despite decades of study. Many factors have been found to contribute to the pathogenesis, including neurodevelopmental disturbance, genetic risk, and environmental insult, but no single root cause has emerged. While evidence from twin studies suggests a strong heritable component, few individual loci have been identified in genomewide screens, suggesting a role for epigenetic effects. Rather, large numbers of weakly acting loci may cumulatively increase disease risk, including several mapping to epigenetic pathways. In this review, we discuss mechanisms of epigenetic regulation and evidence for an epigenetic contribution to disease phenotype. We further describe the range of experimental tools currently available to study epigenetic effects associated with the disease.
Neuropsychiatric and neurologic diseases cause a great burden for individuals, families, and societies. Social isolation rearing can trigger a variety of psychiatric diseases. New advances suggest that epigenetic factors along with other neurochemical changes can be an important topic in neuropsychiatric diseases. It is thought that the prevention of social isolation rearing that occurs around birth can reduce the occurrence of neuropsychiatric diseases. It has been suggested that the environment can induce epigenetic alternation. So, for the diagnosis of a proportion of neuropsychiatric diseases, assessing epigenetic factors may be helpful. Also, apart from epigenetic factors, new advances have been made about new mechanisms of and treatments for such a disorder.
The Sequenced Treatment Alternatives to Relieve Depression (STAR*D) algorithm is the most recognized protocol-based care approach for moderate to severe depression. However, its implementation results in one-third of individuals receiving modest to no symptom remission. One possible explanation is the inter-individual differences in antidepressant metabolism due to CYP2C19 and CYP2D6genetic variation. Here, we aimed to determine the potential benefit of pairing CYP2C19 and CYP2D6testing with the five-step STAR*D algorithm. To estimate the proportion of individuals that could benefit from CYP2C19 and CYP2D6 testing, we simulated the STAR*D algorithm using ethnicity-specific phenotype (e.g., metabolizer status) frequencies published by the Clinical Pharmacogenetics Implementation Consortium and census data from the Canada and the US. We found that up to one-third of the US and Canadian populations being treated for depression could benefit from the addition of CYP2C19and CYP2D6 genetic testing. The potential benefit varied for each step of the algorithm and for each province, territory, and state. CYP2C19 genotyping had the greatest potential impact within the first two steps of the algorithm, while CYP2D6 genotyping had the most notable impact in Steps 3, 4, and 5. Our findings suggest the implementation of CYP2C19and CYP2D6 genetic testing alongside the STAR*D treatment algorithm may improve depression treatment outcomes in Canada and the US.
