Skip to main content
Frontiers in Genetics logoLink to Frontiers in Genetics
. 2014 Jul 22;5:239. doi: 10.3389/fgene.2014.00239

Dysregulated nitric oxide signaling as a candidate mechanism of fragile X syndrome and other neuropsychiatric disorders

Steven M Colvin 1, Kenneth Y Kwan 1,*
PMCID: PMC4105824  PMID: 25101118

Abstract

A mechanistic understanding of the pathophysiology underpinning psychiatric disorders is essential for the development of targeted molecular therapies. For fragile X syndrome (FXS), recent mechanistic studies have been focused on the metabotropic glutamate receptor (mGluR) signaling pathway. This line of research has led to the discovery of promising candidate drugs currently undergoing various phases of clinical trial, and represents a model of how biological insights can inform therapeutic strategies in neurodevelopmental disorders. Although mGluR signaling is a key mechanism at which targeted treatments can be directed, it is likely to be one of many mechanisms contributing to FXS. A more complete understanding of the molecular and neural underpinnings of the disorder is expected to inform additional therapeutic strategies. Alterations in the assembly of neural circuits in the neocortex have been recently implicated in genetic studies of autism and schizophrenia, and may also contribute to FXS. In this review, we explore dysregulated nitric oxide signaling in the developing neocortex as a novel candidate mechanism of FXS. This possibility stems from our previous work demonstrating that neuronal nitric oxide synthase 1 (NOS1 or nNOS) is regulated by the FXS protein FMRP in the mid-fetal human neocortex. Remarkably, in the mid-late fetal and early postnatal neocortex of human FXS patients, NOS1 expression is severely diminished. Given the role of nitric oxide in diverse neural processes, including synaptic development and plasticity, the loss of NOS1 in FXS may contribute to the etiology of the disorder. Here, we outline the genetic and neurobiological data that implicate neocortical dysfunction in FXS, review the evidence supporting dysregulated nitric oxide signaling in the developing FXS neocortex and its contribution to the disorder, and discuss the implications for targeting nitric oxide signaling in the treatment of FXS and other psychiatric illnesses.

Keywords: cerebral neocortex, pyramidal neurons, neurodevelopmental disorders, nitric oxide signaling, Broca’s speech and language area, anterior cingulate cortex, neural circuit assembly, human fetal brain

INTRODUCTION

Although a single locus genetic disorder, fragile X syndrome (FXS), the leading inherited cause of intellectual disability (ID) and monogenic syndromic form of autism spectrum disorder (ASD), remains incompletely understood at the mechanistic level. Since the identification of FMR1 as the X-linked gene affected in FXS (Warren et al., 1987; Oberlé et al., 1991; Verkerk et al., 1991; Vincent et al., 1991), significant research efforts have focused on FMRP, the protein encoded by FMR1 (Ashley et al., 1993). FMRP is an RNA-binding protein that controls the localization, stability, and translation of neuronal mRNAs (Bagni and Greenough, 2005; Zalfa et al., 2007; Bassell and Warren, 2008). It is highly expressed in neurons and nearly ubiquitously present in the central nervous system (Devys et al., 1993; Hinds et al., 1993; Bakker et al., 2000; O’Donnell and Warren, 2002). Because FMRP is expressed in the brain without preference for particular regions or neuronal subtypes, its expression pattern does not provide insights into the potential neural or neuronal substrates underlying the intellectual and behavioral deficits of the disorder. At the molecular level, FMRP interacts with and controls the translation of a large number of neuronal mRNAs (Brown et al., 2001; Darnell et al., 2011), estimated to be more than 800 transcripts. Consistent with the significant localization of FMRP to dendritic spines (Feng et al., 1997; Antar et al., 2004; Gabel et al., 2004), which are specializations at post-synaptic sites, many of these transcripts play key roles in synapse formation and function (Brown et al., 2001; Darnell et al., 2001, 2011; Miyashiro et al., 2003; Kindler and Kreienkamp, 2012). The converging localization and function of many FMRP target mRNAs to the synapses has illuminated FMRP neurobiology; however, precisely which of the myriad transcripts are mechanistically most significant for the psychopathology of FXS, or most suitable as targets of molecular therapeutics, remains to be fully explored.

One potential mechanism, coined the metabotropic glutamate receptor (mGluR) theory of FXS, was proposed following observations linking mGluR signaling, long-term depression (LTD), protein synthesis, and FMRP function (Weiler et al., 1997; Huber et al., 2000, 2001, 2002) and has been a focus of recent basic and clinical research (Bear et al., 2004; Dölen et al., 2007; Ronesi and Huber, 2008; Berry-Kravis, 2014). At the time of writing, drugs targeting several molecular players in the mGluR signaling pathway are being studied in clinical trials (Berry-Kravis, 2014; Erickson et al., 2014; Jacquemont et al., 2014; Pop et al., 2014).

Since its original proposal, several lines of converging evidence have corroborated the mGluR theory. The majority of the data supporting excessive LTD in FXS is derived from studies of the hippocampus (Huber et al., 2002; Bear et al., 2004), a critical brain region for learning and memory. The specific contribution of overactive hippocampal LTD to the pathophysiology of FXS, however, remains incompletely explored. Furthermore, the precise identities of the de novo proteins necessary for LTD have remained largely mysterious, and they are likely to represent only a subset of FMRP targets. Therefore, it is possible that additional mechanisms or brain regions are involved in the intellectual and behavioral manifestations of FXS. Elucidating these mechanisms is expected to uncover the neurobiology pertinent to FXS and provide novel targets toward molecular therapy.

In this review, we explore disrupted nitric oxide (NO) signaling as a new candidate mechanism of FXS centered in the developing neocortex. In our recent work, we showed neuronal nitric oxide synthase 1 (NOS1 or nNOS) to be translationally regulated by FMRP in the fetal human neocortex and severely reduced in the fetal and post-natal developing neocortex of FXS patients (Kwan et al., 2012a). As NO is a multifunctional signaling molecule with diverse neural functions, including synapse development, neural transmission, and synaptic plasticity, the disruption of NOS1 protein translation in FXS may underlie the pathogenesis of the disorder. Here, we (1) outline the genetic and neurobiological data that implicate neocortical dysfunction in the etiology of FXS; (2) review the evidence supporting dysregulated NO signaling in the developing FXS neocortex and its potential functional contribution to the disorder; and (3) discuss the implications for targeting NO signaling in the treatment of FXS and other psychiatric disorders, including autism and schizophrenia (SCZ).

NEOCORTICAL DYSFUNCTION AS A NEURAL BASIS OF FXS

Research into the mechanisms underlying FXS has long been focused on the biology of FMRP, a key aspect of which is centered on the identities of its mRNA targets (Brown et al., 2001; Darnell et al., 2011). Although the number of direct FMRP-interacting mRNAs is numerous and their individual contributions to the disorder remain largely unknown, some neurobiological aspects behind their function and dysfunction have emerged. FMRP regulates the translation of many transcripts encoded by genes implicated in ASD (Darnell et al., 2011), and de novo mutations in ASD simplex families preferentially affect genes encoding FMRP targets (Iossifov et al., 2012). This convergence suggests that the pathophysiologies of ASD and FXS may be mediated by common mechanisms, and is consistent with the broad behavioral overlap between FXS and autism (Rogers et al., 2001; Hagerman et al., 2010). Similarly, genes disrupted by de novo variants in SCZ are also significantly enriched for those that encode FMRP target transcripts (Fromer et al., 2014; Purcell et al., 2014). Although a potential link between FXS and SCZ has not been extensively explored, decreased FMRP levels have been associated with intellectual deficits and earlier onset in SCZ (Kovács et al., 2013). Furthermore, recent findings have shown that the genetic underpinnings of ASD and SCZ exhibit significant overlap (Carroll and Owen, 2009; McCarthy et al., 2014). This putative mechanistic intersection between FXS, ASD, and SCZ implicates a partial convergence in the molecular and neural substrates underlying these disorders.

Because FMRP is expressed in most neuronal subtypes from early fetal development to aging (Abitbol et al., 1993; Devys et al., 1993; Hinds et al., 1993; Kang et al., 2011), its spatiotemporal expression pattern does not implicate any particular neural structure or developmental stage to be especially important to the etiology of the disorder. Recent advances in the fields of ASD and SCZ genetics have, however, begun to reveal the neurobiology and neural substrates that underlie complex disorders of brain development. Historically, the genetic heterogeneity of ASD, SCZ, and other psychiatric diseases has been a major challenge in identifying the genetic loci that carry definitive genetic risk. Ironically, the large number of risk loci that has impeded progress may now provide an opportunity to better pinpoint the neural substrates and developmental stages that are central to the pathophysiology of these disorders (State and Šestan, 2012). Because of the pleiotropic nature of gene function, the majority of genes in mammalian genomes are expressed in multiple organs over multiple time points during the development, maturation, and aging of the organism. Accordingly, expression analyses of ASD or SCZ risk genes using comprehensive spatiotemporal transcriptomic data from the human brain (Johnson et al., 2009; Colantuoni et al., 2011; Kang et al., 2011), have revealed highly disparate spatial patterns and developmental trajectories. However, gene co-expression network analyses, which can be used to identify clusters of highly correlated genes (Eisen et al., 1998; Stuart et al., 2003; Geschwind and Konopka, 2009), have uncovered key points of convergence in the timing and location of risk gene expression. Expression network analyses of high-confidence ASD loci have identified the mid-fetal neocortex to be a significant point of spatiotemporal intersection (Parikshak et al., 2013; Willsey et al., 2013), suggesting a significant contribution of the developing neocortex to ASD circuit dysfunction (Kwan, 2013). In SCZ, a similar analysis has also implicated the fetal frontal neocortex (Gulsuner et al., 2013). Mid-gestation is a critical developmental period during which key neocortical axon tracts are being established prior to the onset of significant synaptogenesis (Figure 1; Kang et al., 2011). This convergence of ASD and SCZ gene expression, therefore, strongly implicates miswiring of neocortical circuits in the pathophysiology of these neurodevelopmental disorders.

FIGURE 1.

FIGURE 1

Trajectories of NOS1 and FMR1 expression and key developmental events in the mid-fetal human neocortex. The approximate timing and duration of selected neocortical developmental processes, as defined by anatomical findings, are illustrated (Bourgeois, 1997; de Graaf-Peters and Hadders-Algra, 2006; Clancy et al., 2007; Workman et al., 2013). FMR1 (blue) is widely expressed in the brain from early fetal development into adult aging. During the mid-fetal ages, periods 4–6 (Kang et al., 2011), NOS1 is expressed in the pyramidal neurons of Broca’s area L5 (red) and ACC L2/L3 (green) (Kwan et al., 2012a). Unlike its transient pyramidal expression, NOS1 is expressed in interneurons from fetal development to late adulthood. Supporting a potential role in neuropsychiatric disorders, mid-fetal neocortical development has been recently implicated in analyses of gene co-expression networks of ASD- and SCZ-associated genes (Gulsuner et al., 2013; Parikshak et al., 2013; Willsey et al., 2013).

Neocortical dysfunction may similarly contribute to FXS etiology. The neocortex underlies conscious experience, thoughts, and actions in mammals, and is the seat of higher cognitive functions including speech and language and social cognition (Geschwind and Rakic, 2013), which are often affected in FXS and other neurodevelopmental disorders. The proper functioning of the neocortex depends on the precise wiring of its neural circuits during fetal and early post-natal development. Dysregulation of neocortical circuit assembly and function has long been thought to contribute to neuropsychiatric disorders. In FXS, cognitive and language development are delayed or impaired (Abbeduto et al., 2007), phenotypes that are consistent with disrupted neocortical function. With 30% of FXS patients meeting the full diagnostic criteria for autism and an additional 30% falling elsewhere on the autism spectrum (Harris et al., 2008), deficits in social cognition, another higher function centered in the neocortex, are also a key impairment in FXS. Anatomically, this possibility is further supported by findings that revealed altered dendritic spine morphologies in the neocortical pyramidal neurons of human FXS patients and Fmr1 null mice (Comery et al., 1997; Irwin et al., 2000).

With recent advances in neuroimaging, deficits in neural connectivity are being mapped and alterations in neocortical circuitry have been reported in multiple disorders, including ASD, SCZ, and bipolar disorder (Kuperberg et al., 2008; Henin et al., 2009; Henseler et al., 2010; Hall et al., 2013; Zikopoulos and Barbas, 2013). Functional and anatomical imaging studies have also supported neocortical dysfunction in FXS. One analysis found that, during the counting Stroop interference task, normal activation in the inferior/middle frontal gyrus and inferior/superior parietal lobe was absent, and an aberrant activation in the anterior region of the prefrontal cortex (PFC) was present instead (Tamm et al., 2002). In the Go/NoGo task, FXS patients exhibited abnormal activation patterns in multiple brain regions, including significantly reduced activation in the supplementary motor area and anterior cingulate cortex (ACC; Menon et al., 2004). Furthermore, white-matter abnormalities were found in frontostriatal circuitry (Haas et al., 2009), and a recent analysis of functional connectivity and large-scale brain networks in FXS revealed widespread reductions in neocortical connectivity (Hall et al., 2013). Interestingly, maturation of the PFC was found to be aberrant in adolescent FXS patients, an alteration that is correlated with delayed cognitive maturation (Bray et al., 2011). The PFC, often considered to be the prototypical center of higher-order cognitive processing, is critical to working memory, executive function, and inhibition, and has been robustly implicated in multiple psychiatric disorders (Weinberger et al., 1986; Goldman-Rakic, 1996; Miller et al., 2002). Together, these lines of evidence converge on the possibility that alterations in neocortical circuitry underlie some aspects of FXS pathogenesis. The molecular mechanisms that may contribute to these alterations in FXS, however, have not been extensively explored.

FMRP REGULATION OF NOS1 TRANSLATION IN THE HUMAN FETAL NEOCORTEX

Recently, we identified neuronal NOS1 or nNOS to be a novel FMRP target mRNA in the mid-fetal human neocortex (Kwan et al., 2012a). This interaction was mediated by two G-quartet motifs within the coding region of human NOS1 that are necessary and sufficient for FMRP binding. Consistent with a direct interaction, FMRP was found to be a positive regulator of NOS1 translation, controlling NOS1 protein levels in a dose-dependent manner in vitro and in vivo. FMRP is mostly known to be a translation repressor through a ribosome stalling mechanism that was elegantly shown using an in vitro system (Darnell et al., 2011). In some cases, it has been shown to function as a positive translational regulator (e.g., SOD1, ASCL1 (hASH1), Kcnd2 (Kv4.2), and DLG4 (PSD95)) (Todd et al., 2003; Bechara et al., 2009; Fähling et al., 2009; Gross et al., 2011), and may mediate this translational control in a context- or activity-dependent manner.

Interestingly, FMRP binding and regulation of NOS1 is species-dependent, being present in primate species, which exhibit conserved G-quartet sequences in NOS1, but absent in rodent species, which lack the NOS1 G-quartets. Consistent with this species difference, NOS1 has not been previously identified in the mouse brain to be an FMRP target mRNA (Brown et al., 2001; Darnell et al., 2011). The absence of the G-quartet motifs from rodent Nos1 and the high degree of amino acid identity in FMRP among mammals suggest that the interaction between FMRP and NOS1 evolved via changes in the NOS1 sequence, as opposed to changes in FMRP function. This suggests the possibility of additional examples of evolutionary changes that can impact FMRP interaction with target mRNAs. Indeed, consistent with this possibility, a recent analysis of brain-expressed exons under purifying selection demonstrated enrichment for ASD-associated genes and ASD-relevant FMRP targets (Uddin et al., 2014).

The dose-dependence upregulation of NOS1 translation by FMRP in the normal human neocortex suggests the possibility of disrupted NOS1 protein synthesis in human FXS patients. Examination of FXS patient brains revealed, remarkably, that NOS1 is absent from the neocortex at fetal ages, and significantly decreased in the neocortex during postnatal development (Figure 2). Although a large number of FMRP target mRNAs have been identified in the mouse brain (Brown et al., 2001; Darnell et al., 2011), the majority of these transcripts have not been assessed for potential translational dysregulation in FXS patient materials. Therefore, NOS1 represents the first mRNA that is found to interact with FMRP in the fetal human brain and translationally disrupted in the developing FXS patient brain. NOS1 is an enzyme that mediates the tightly-regulated biosynthesis of NO, a multifunctional gaseous signaling molecule (Bredt and Snyder, 1994; Garthwaite, 2008). Given the key role of NO in diverse neural processes including synaptic plasticity, retrograde signaling, development, excitotoxicity, and mental health (Brenman et al., 1996; Hölscher, 1997; Contestabile, 2000; Calabrese et al., 2007; Garthwaite, 2008; Steinert et al., 2010), the loss of NOS1 in the developing FXS neocortex may contribute to the pathophysiology of the disorder. Here, we assess disrupted NO signaling as a candidate mechanism underlying FXS, focusing on the highly specific spatiotemporal expression pattern of NOS1 in the fetal human neocortex and the potential neurobiological contribution of disrupted NO signaling to FXS and other neurodevelopmental disorders.

FIGURE 2.

FIGURE 2

Immunoblot analysis of NOS1 expression in the developing neocortex. In the developing neocortex, the expression levels of NOS1 (red arrowhead) are severely reduced in human FXS patients. This loss is species-dependent. NOS1 levels are unaltered in the neocortex of neonatal Fmr1 null mice, an animal model of FXS. Adapted from Kwan et al. (2012a).

SPATIOTEMPORAL AND SPECIES-DEPENDENT EXPRESSION OF NOS1 IN THE HUMAN NEOCORTEX

To determine the potential contribution of NOS1 to FXS, it is necessary to consider the time and location of NOS1 function during brain development. In contrast to the widespread expression of FMRP, NOS1 expression exhibits spatial, temporal, and neuronal subtype specificity, providing insights into its potential neural function. In the neocortex of several mammalian species, NOS1 has been known to be a selective marker of inhibitory interneurons (Vruwink et al., 2001) while being absent from the principal neurons of the neocortex, the excitatory projection (pyramidal) neurons. In the human mid-fetal (13–24 weeks post-conception; Figure 1) neocortex, however, we found NOS1 to be present not only in the interneurons, but also in the pyramidal neurons of two specific neocortical areas underlying higher cognitive functions: the fetal Broca’s area and orofacial motor cortex, and the ACC (Figure 3; Kwan et al., 2012a). The pyramidal projection neurons occupy a central position in neocortical circuitry, being the source of long distance axonal projections that connect distal areas within the neocortex (via intracortical connections) and the neocortex with subcortical brain structures (via corticofugal connections). The newly identified pyramidal expression of NOS1 is particularly surprising because pyramidal neurons are derived from distinct progenitors and have greatly divergent chemical and electrophysiological properties compared to interneurons (Markram et al., 2004; Kwan et al., 2012b). Interestingly, the expression of NOS1 in the human neocortex sharply contrasts that in the mouse neocortex, wherein NOS1 is exclusively present in inhibitory interneurons (Figure 3; Kwan et al., 2012a). NOS1 expression analysis in the fetal macaque neocortex and sequence conservation analysis in mammals revealed that pyramidal NOS1 expression is likely to be primate-specific. The recent origin of this expression pattern is consistent with the possibility that pyramidal NOS1 plays a key role in the development or function of neocortical circuitry underlying higher cognitive functions.

FIGURE 3.

FIGURE 3

Species-dependent NOS1 expression in the developing neocortex. (A) In the mid-fetal human neocortex, NOS1 is specifically expressed in the pyramidal neurons of two neocortical regions underlying language and cognitive functions. In the Broca’s area (red boxes), NOS1 expression (blue), is selectively present in the pyramidal neurons of neocortical layer 5 (L5). NOS1-expressing neurons are assembled into minicolumns (red asterisks) separated by NOS1-negative neurons. In the anterior cingulate cortex (ACC; green boxes), many L2/L3 pyramidal neurons express high levels of NOS1. NOS1 expression in interneurons (open arrowheads) is present throughout neocortical areas and layers with no significant selectivity. (B) In the early-postnatal mouse neocortex, which is developmentally equivalent to the human mid-fetal neocortex, NOS1 is exclusively expressed in interneurons (open arrowheads) and absent from pyramidal neurons.

In addition to this notable spatial selectivity, NOS1 expression in the human neocortex further exhibits remarkable temporal specificity, occurring only transiently within a small mid-fetal window and becoming dramatically downregulated by late gestation (Figures 1 and 3). During this mid-gestation period, the genesis of neocortical pyramidal neurons is largely complete and the deep neocortical layers have been formed, whereas many upper layers neurons are migrating toward their laminar destination. Importantly, neocortical axon tracts are undergoing outgrowth to reach their target destinations, a process that largely precedes the onset of peak synaptogenesis (Hadley et al., 1983; Kang et al., 2011; Xu and Henkemeyer, 2012). Overall, the spatiotemporal specificity of pyramidal NOS1 expression is consistent with a key role for NOS1 in the formation of specific neocortical circuits important for higher cognition. The location, connectivity, and neural function of these circuits provide crucial insights into the potential consequences of NOS1 dysregulation in the FXS neocortex.

BROCA’S SPEECH AND LANGUAGE AREA AND OROFACIAL MOTOR CORTEX

In the mid-gestation frontal and frontoparietal operculum, the fetal anlage of the adult Broca’s speech and language area and orofacial motor cortex, NOS1 is specifically expressed in layer 5 (L5) corticofugal projection neurons, the output neurons of the neocortex (Figure 3; Kwan et al., 2012a). Broca’s area, located in the inferior frontal gyrus, plays a key role in the generation of speech and is also important in language comprehension (Judas and Cepanec, 2007; Keller et al., 2009). The L5 expression of NOS1 in the fetal Broca’s area is developmentally regulated, being exclusively present from approximately 16 to 24 weeks post-conception. The expression of NOS1 in these neurons during the 7–8 week fetal window when they differentiate and acquire their axonal connectivities implies a role for NOS1 in the assembly of motor circuits involved in speech and language. Several lines of evidence, including studies of gene co-expression, microscopic neuroanatomy, and functional imaging, point to a putative contribution of disrupted NOS1 expression in Broca’s area to the psychopathology of FXS and provide insights into the potential mechanistic underpinnings of this disruption.

In the mid-fetal Broca’s area, NOS1 neurons coexpress BCL11B (previously CTIP2), a transcription factor that is specifically expressed in and required for the development of corticofugal projection neurons (Arlotta et al., 2005). This coexpression is consistent with the L5 pyramidal identity of NOS1 neurons and a potential role for NOS1 in neocortical output circuits originating from this area. Abnormal activation of the inferior frontal gyrus, which encompasses the Broca’s area, in FXS patients during the counting Stroop interference task (Tamm et al., 2002) has suggested altered Broca’s area connectivity in the disorder. Furthermore, functional imaging studies of ASD patients have identified specific alterations in Broca’s area connections. For example, in a recent analysis of network connectivity in 24-month old ASD infants, alterations in network efficiencies were reported in all four cortical lobes, with a significant reduction in the Broca’s area in the frontal lobe (Lewis et al., 2014). Importantly, reduced network efficiency in Broca’s area correlated with increased ASD symptom severity. In another recent study, naturally sleeping ASD toddlers exhibited significantly weakened interhemispheric correlations in the inferior frontal gyrus (Dinstein et al., 2011). Interestingly, the strength of the interhemispheric synchrony was negatively correlated with autism severity and positively correlated with verbal ability. Furthermore, a reversal in volume asymmetry in the Broca’s area has been reported in autistic boys (De Fossé et al., 2004), implicating both structural and functional differences in this area in ASD. It remains to be shown whether NOS1 contributes to Broca’s area alterations in ASD or similar alterations in FXS. The highly specific spatiotemporal expression of NOS1, however, is consistent with this possibility.

In the mid-fetal Broca’s area, NOS1 neurons coexpress FOXP2 (Kwan et al., 2012a), a gene altered in a severe speech disorder (Lai et al., 2001; Fisher and Scharff, 2009) and implicated in ASD and cognitive impairments (Bacon and Rappold, 2012). The presence of NOS1 in FOXP2-expressing neurons adds further support to a possible role of NOS1 in ASD and cognitive neural circuits. Furthermore, NOS1-expressing neurons are organized into microcircuits known as minicolumns (Figure 3; Kwan et al., 2012a), a vertical arrangement thought to constitute a functional unit of cortical circuitry (Mountcastle, 1997; Buxhoeveden and Casanova, 2002). Interestingly, the arrangement of minicolumns is disorganized in psychiatric disorders, including ASD and SCZ, potentially contributing to circuit dysfunction by disrupting the inhibitory architecture of the neocortex (Buxhoeveden and Casanova, 2002; Casanova et al., 2002, 2003). The expression of NOS1 in minicolumns during fetal development is consistent with a role for NO in the assembly of microcircuitry, possibly related to ASD and SCZ, in this distinctly human neocortical area.

ANTERIOR CINGULATE CORTEX

In addition to the Broca’s area, a second neocortical region with important cognitive functions also exhibit pyramidal NOS1 expression during mid-fetal development. Starting from approximately 16 weeks post-conception, NOS1 is expressed in a large number of upper-layer (L2–L3) intracortical projection neurons of the ACC at significantly higher levels compared to the L5 neurons of the Broca’s area (Kwan et al., 2012a). NOS1-expressing neurons in the ACC, in contrast to those in the Broca’s areas, are not marked by BCL11B but instead coexpress SATB2, a transcription factor that labels intracortical projection neurons and is required for their normal development (Alcamo et al., 2008; Britanova et al., 2008). Unlike the corticofugal projection neurons that express NOS1 in the Broca’s area, NOS1-expressing pyramidal neurons in the ACC are likely to contribute to intracortical connectivity. Furthermore, although NOS1 expression in ACC pyramidal neurons is also temporally regulated, its timing spans a lengthier period during development, being present at high levels from mid- to late- gestation and downregulated after birth (Kwan et al., 2012a). Whereas no pyramidal neurons retain NOS1 expression in the postnatal Broca’s area, a small number of pyramidal neurons in the ACC express low levels of NOS1 into adulthood (Gao et al., 2013). The significance of NOS1 expression in adult pyramidal neurons and whether its function parallels its fetal role remains to be explored. The ACC is not only highly interconnected to cognitive and emotional circuits, but also important in a number of neuropsychiatric diseases (Devinsky et al., 1995). Functional imaging, gene expression analyses, and other studies suggest the possibility that NOS1-expressing pyramidal neurons in the ACC may contribute to the psychopathology of FXS in a manner distinct from their counterparts in the Broca’s area.

Centrally positioned in the neocortex, the ACC is a key point of integration for cognitive and emotional processes, playing a crucial role in executive, social, and affective functions (Devinsky et al., 1995). The ACC exhibits extensive intracortical connectivities. The dorsal cognitive portion of the ACC is connected with motor and sensory systems of the neocortex, and is therefore well-positioned to integrate sensory stimuli with top-down commands (Paus et al., 1993; Picard and Strick, 1996; Williams et al., 2004; Crottaz-Herbette and Menon, 2006). The ventral part of the ACC, which is involved in emotion and motivation processing, is connected with the anterior insula and amygdala, as well as the nucleus accumbens and hypothalamus (Bush et al., 2002; Etkin et al., 2011). Functional imaging studies have found the ACC to be important for performance monitoring, error detection, action selection, and reinforcement of adaptive behavior (Brown and Braver, 2005; Schweimer and Hauber, 2006; Ko et al., 2009). Alterations in ACC circuitry have been proposed to contribute to maladaptive behaviors in psychiatric disorders (Drevets et al., 2008; Davey et al., 2012; Tu et al., 2012; Zikopoulos and Barbas, 2013). The expression of NOS1 in the intracortical projection neurons of the ACC implicates NOS1 in the connectivity of cognition and emotion circuits, which likely underlie some aspects of the pathogenesis in a number of neuropsychiatric disorders.

Data from several studies lend indirect support to a potential role of ACC NOS1 dysregulation in FXS. Studies of a human NOS1 hypomorphic allele revealed homozygosity to be associated with attention deficit hyperactivity disorder (ADHD), impulsivity, and aggression (Reif et al., 2009), linking reduced NOS1 activity to behavioral features often comorbid with FXS (Rogers et al., 2001). This NOS1 hypomorphism has also been linked to reduced neural activity in the ACC (Reif et al., 2009), consistent with a potential role of NOS1 in the development of ACC connectivity. Additional functional imaging studies revealed a similar reduction in ACC activation in FXS and ADHD patients during attentional processing tasks (Bush et al., 1999; Uddin and Menon, 2009) and in autistic children in response to a familiar face (Pierce and Redcay, 2008). The convergence of neural and behavioral deficits between NOS1 hypomorphism, FXS, and FXS comorbidities provide robust support to the possibility of a functional role of NOS1 in the development and function of ACC circuitry related to FXS and ASD.

In addition to FXS and ASD, ACC dysfunction has also been associated with other psychiatric disorders. In SCZ, pathological studies have found neuronal architecture to be altered in the ACC (Salgado-Pineda et al., 2014), whereas neural imaging studies have found abnormalities in the ACC that were reversed with treatment response. In major depressive disorder, neuronal density was found to be reduced in the ACC (Rajkowska et al., 1999, 2001) and psychotherapy success was found to correlate with increased ACC activity (Mayberg et al., 1997; Quidé et al., 2012). Interestingly, a recent study of depressive patient materials revealed a significant reduction in NO metabolites in the cerebrospinal fluid (Gao et al., 2013). Furthermore, NOS1 expression in the pyramidal neurons of the adult ACC was found to be significantly reduced in depressed patient brains (Gao et al., 2013). Although FXS has not been associated with major depression, de novo variations in SCZ have been shown to preferentially affect FMRP targets and FMRP levels have been correlated with SCZ severity (Kovács et al., 2013; Fromer et al., 2014; Purcell et al., 2014), suggesting a potential mechanistic overlap.

The spatiotemporal expression pattern of NOS1 during circuit wiring is consistent with a potential role in establishing global connectivity during neocortical development. By imaging resting state coordinated activity between brain areas, a measure of functional connectivity can be inferred based on synchronous activity (Power et al., 2011). Remarkably, Broca’s area and the ACC, the two neocortical areas with significant mid-fetal pyramidal NOS1 expression, exhibit coordinated activity and are known to form a cingulo-opercular network (Power et al., 2011), one of the default mode networks of the neocortex (Vaden et al., 2013; Sestieri et al., 2014). Interestingly, a disruption in the activity of the cingulo-opercular network has been identified in SCZ (Tu et al., 2012). Although the cingulo-opercular network has not been examined in individuals with the hypomorphic NOS1 allele, these data suggest a potential contribution of reduced NOS1 activity to the altered connectivity of a default mode network. Together, these findings converge on the possibility that NOS1 dysfunction in pyramidal neurons of the ACC and Broca’s area may contribute to distinct psychiatric disorders that affect higher cognitive abilities.

A FUNCTIONAL CONVERGENCE ON SYNAPTIC MECHANISMS

Recent advances in psychiatric genetics have reaffirmed the heterogeneity of disease loci and the complexity of these disorders. However, a functional convergence has emerged from many of these studies. In ASD, specific functional subclasses of risk loci have been identified based on gene ontology and network analysis (Krumm et al., 2014; Pinto et al., 2014). These unbiased analyses have revealed chromatin biology and synaptic function to be key processes in ASD. Furthermore, empirical evidence has also indicated that the behavioral and intellectual deficits present in ASD, and often comorbid with FXS, likely reflect an underlying defect in synaptic development, plasticity, or function (Zoghbi, 2003; Garber, 2007). Interestingly, similar analyses of SCZ genes have identified a number of shared risk loci, particularly in chromatin modifiers and synaptic molecules (McCarthy et al., 2014). The emerging data have shown many of the synaptic genes associated with ASD or SCZ to encode mRNA transcripts regulated by FMRP (Darnell et al., 2011; Iossifov et al., 2012; Fromer et al., 2014; Purcell et al., 2014). Furthermore, synaptic dysregulation is now recognized as a key pathology in a number of psychiatric disorders, suggesting the synapse to be a common neural substrate underlying distinct clinical manifestations of cognitive impairment (Penzes et al., 2011).

From the earliest functional studies, it has been clear that FXS involves deficits at the synapse. Alterations in spine morphology is well-characterized in human FXS (Comery et al., 1997) and animal models of FXS (Irwin et al., 2000; Nimchinsky et al., 2001), with both presenting significantly more morphologically immature spines and fewer mature spines. Similar deficits in spine morphology and synapse function have been reported to be present in ASD (Kaufmann and Moser, 2000; Hutsler and Zhang, 2010; Penzes et al., 2011). The localization of FMRP to dendritic spines and the putative function of many of its target mRNAs at or near synaptic contacts add further support to the possibility that FXS is a disorder of synaptic development and function (Irwin et al., 2000; Huber et al., 2002; Bear et al., 2004).

Consistent with a putative contribution of dysregulated NO signaling to FXS pathophysiology, NOS1 is likely to have a synaptic function as well. Subcellularly, NOS1 is significantly localized to the dendritic spines (Burette et al., 2002; Kwan et al., 2012a). This localization is mediated by direct interaction with the PDZ domain of post-synaptic density protein PSD-95 (Brenman et al., 1996). The catalytic activity of NOS1 requires Ca2+ influx, which is under the control of near by NMDA receptors (Brenman and Bredt, 1997; Sattler et al., 1999). Interestingly, blockade of NOS1 function has been shown to disrupt synapse formation and result in spine loss (Sánchez-Islas and León-Olea, 2004; Morales-Medina et al., 2007; Nikonenko et al., 2008). Therefore, aspects of spine morphology deficits in FXS may originate from a loss of NO signaling. Overall, given the key role of synaptic proteins in ASD, NOS1 is well positioned to mediate at least some of the mechanisms disrupted in FXS (Figure 4).

FIGURE 4.

FIGURE 4

A functional convergence on synaptic mechanisms. (A) Many ASD-associated genes are localized to the synapse, robustly implicating synaptic dysfunction in ASD. Adapted from Peça et al. (2011). (B) NOS1 is anchored to the post-synaptic member via interactions with PSD-95 (Brenman et al., 1996), and therefore, well-positioned to contribute to the synaptic mechanisms underlying FXS and ASD.

NITRIC OXIDE SIGNALING AS A TARGET FOR FXS MOLECULAR THERAPIES

The development of molecular therapeutic interventions for neurodevelopmental disorders represents an immense challenge. In the past decades, these efforts have been impeded by the tremendous phenotypic and genotypic heterogeneity in the patient populations, the lack of specific knowledge on the molecular pathways, brain regions, or developmental timepoints most relevant to the pathophysiology of the disorders, and the identification of the appropriate primary endpoints (Haddad and Dursun, 2008; Jacquemont et al., 2014). Recent advances in psychiatric genetics have helped to pinpoint some of the molecular and neural underpinnings of these disorders, and revealed potential targets for therapeutic interventions. These strategies have focused mainly on alterations in molecular signaling pathways, which may be more targetable compared to structural deficits in brain development.

Since the proposal of the mGluR theory (Bear et al., 2004; Pop et al., 2014), a number of therapies targeting molecules up or downstream of mGluR signaling have been developed and reached various phases of clinical trial. For example, an open label trial of fenobam (NPL-2009), an mGluR5 antagonist, ameliorated anxiety, hyperarousal, and deficits in prepulse inhibition, and improved continuous performance task outcomes (Berry-Kravis et al., 2009). Arbaclofen (STX209), a GABA receptor agonist acting upstream of mGluR signaling, showed mixed promise in correcting behavioral problems, which was strengthened when adjusted for baseline severity of social withdrawal (Berry-Kravis et al., 2012; Erickson et al., 2014; Jacquemont et al., 2014). The mGluR antagonist mavoglurant (AFQ056) has shown some promise in patients with complete methylation at the FMR1 promoter and in an animal model of FXS (Jacquemont et al., 2011; Gantois et al., 2013). The commercial futures of arbaclofen and mavoglurant, however, are unclear, due to the recent discontinuation of their development.

The possibility of dysregulated NO signaling in FXS may lead to novel therapeutic strategies, including those that increase the brain levels of NO or cyclic guanosine monophosphate (cGMP), a second messenger elevated downstream of NO-mediated activation of soluble guanylate cyclase (sGC; Garthwaite and Boulton, 1995). Phosphodiesterase (PDE) inhibitors and NO donors have been used to enhance cGMP at distinct points of the NO signaling pathway. PDE type 5 inhibitors, which elevate cGMP levels by blocking their enzymatic degradation, are well known for their role in treating erectile dysfunction (Boolell et al., 1996; Sandner et al., 2008), but may have additional indications in the brain. Sildenafil has been shown to have antidepressant, anxiolytic, and cognitive effects, and to increase cGMP levels in the hippocampus (Rutten et al., 2005; Liebenberg et al., 2010, 2012; Uthayathas et al., 2013; Zhang et al., 2013). Tadalafil has similar antidepressant and anxiolytic effects, and has additionally been shown to reverse cognitive dysfunction by crossing the blood–brain barrier (Liebenberg et al., 2010, 2012; García-Barroso et al., 2013). cGMP levels may also be increased using NO donors to stimulate sGC activity. One such donor is sodium nitroprusside, a single intravenous administration of which has been shown to rapidly ameliorate the positive, negative, anxiety, and depressive symptoms in SCZ patients (Hallak et al., 2013). Interestingly, NO donors may mediate effects in addition to sGC activation. For example, the NO donor minocycline is known to inhibit matrix metalloproteinase-9 (MMP9), a protein encoded by an FMRP target mRNA (Berry-Kravis, 2014). It also promotes spine maturation and normal behavior in Fmr1 null mice (Bilousova et al., 2009) and delivers a significant improvement in anxiety and mood-related behaviors in children diagnosed with FXS (Paribello et al., 2010; Leigh et al., 2013). Additional drugs may more directly target NOS1 function or expression. For example, sapropterin, a synthetic form of the NOS cofactor tetrahydrobiopterin, was found to improve behavioral symptoms of ASD (Frye et al., 2013). A drug currently undergoing clinical trials for FXS and Rett syndrome may also affect NOS expression. NNZ-2566, a GPE peptide analog has been previously demonstrated to increase neuronal ChAT, GAD, and NOS expression (Guan et al., 1999; Guan and Gluckman, 2009; Berry-Kravis, 2014). Further studies on these and other therapies targeting NOS are expected to reveal the feasibility and efficacy of this line of treatment strategy for FXS and ASD.

NO SIGNALING IN MULTIPLE PSYCHIATRIC DISORDERS

Emerging genetic studies of multiple psychiatric disorders previously thought to be mechanistically distinct have implicated the same set of genes to carry disease risk for each disorder. A recent analysis of de novo variants uncovered shared genetic underpinnings in ASD and SCZ (McCarthy et al., 2014). In a recent large genome-wide association study (GWAS), risk is correlated across five psychiatric disorders: ASD, SCZ, attention deficit-hyperactivity disorder, bipolar disorder, and major depressive disorder (Smoller et al., 2013). Remarkably, from this pooled analysis, single nucleotide polymorphisms (SNPs) within two L-type voltage-gated calcium channel (VGCC) subunits, CACNA1C and CACNB2, surpassed statistical threshold. This and previous studies associating CACNA1C with the individual disorders [Splawski et al., 2006; Ferreira et al., 2008; Walsh et al., 2008; Schizophrenia Psychiatric Genome-Wide Association Study (GWAS) Consortium, 2011; Lu et al., 2012; Wray et al., 2012] strongly implicate VGCC signaling to be a shared neurobiological mechanism between these phenotypically divergent illnesses.

The genetic and mechanistic evidence presented in this review suggest that NOS1 may similarly play a role in multiple psychiatric disorders. NOS1 activity is dependent on calcium signaling mediated via calmodulin. This calcium signaling may partially originate from L-type VGCCs. One study found depolarization-stimulated and spontaneous cGMP formation downstream of NOS1 activity to be blocked by the L-type calcium channel blocker nifedipine (Oka et al., 1999). Furthermore, there is evidence that NOS1, in turn, regulates VGCCs including CACNA1C. The protein levels of CACNA1C and CACNA1D were found to be significantly reduced in the cerebellum of Nos1 null mice (Kim et al., 2004). Together, these data suggest that the potential involvement of NOS1 in multiple psychiatric disorders may be mediated in part via interactions with VGCCs.

The pursuit of convergent mechanisms in multiple psychiatric disorders may help identify points at which disease pathways intersect and may lead to a more mechanistic nosology in psychiatry beyond descriptive classification. These studies are expected to not only lead to conceptual advances in the neurobiology of psychiatric disorders, but also to targets of molecular therapies with widespread utility. In particular, because NO signaling has been targeted pharmacologically for other indications, understanding NOS1 dysfunction in psychiatric disorders has tremendous potential to lead to the repurposing of efficacious, tested agents to treat these disorders.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

We thank members of the Kwan laboratory for critical reading of the manuscript. This work was supported by the National Institutes of Health (MH096939).

REFERENCES

  1. Abbeduto L., Brady N., Kover S. T. (2007). Language development and fragile X syndrome: profiles, syndrome-specificity, and within-syndrome differences. Ment. Retard. Dev. Disabil. Res. Rev. 13 36–46 10.1002/mrdd.20142 [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Abitbol M., Menini C., Delezoide A. L., Rhyner T., Vekemans M., Mallet J. (1993). Nucleus basalis magnocellularis and hippocampus are the major sites of FMR-1 expression in the human fetal brain. Nat. Genet. 4 147–153 10.1038/ng0693-147 [DOI] [PubMed] [Google Scholar]
  3. Alcamo E. A., Chirivella L., Dautzenberg M., Dobreva G., Fariñas I., Grosschedl R., et al. (2008). Satb2 regulates callosal projection neuron identity in the developing cerebral cortex. Neuron 57 364–377 10.1016/j.neuron.2007.12.012 [DOI] [PubMed] [Google Scholar]
  4. Antar L. N., Afroz R., Dictenberg J. B., Carroll R. C., Bassell G. J. (2004). Metabotropic glutamate receptor activation regulates fragile x mental retardation protein and FMR1 mRNA localization differentially in dendrites and at synapses. J. Neurosci. 24 2648–2655 10.1523/JNEUROSCI.0099-04.2004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Arlotta P., Molyneaux B. J., Chen J., Inoue J., Kominami R., Macklis J. D. (2005). Neuronal subtype-specific genes that control corticospinal motor neuron development in vivo. Neuron 45 207–221 10.1016/j.neuron.2004.12.036 [DOI] [PubMed] [Google Scholar]
  6. Ashley C. T., Wilkinson K. D., Reines D., Warren S. T. (1993). FMR1 protein: conserved RNP family domains and selective RNA binding. Science 262 563–566 10.1126/science.7692601 [DOI] [PubMed] [Google Scholar]
  7. Bacon C., Rappold G. A. (2012). The distinct and overlapping phenotypic spectra of FOXP1 and FOXP2 in cognitive disorders. Hum. Genet. 131 1687–1698 10.1007/s00439-012-1193-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Bagni C., Greenough W. T. (2005). From mRNP trafficking to spine dysmorphogenesis: the roots of fragile X syndrome. Nat. Rev. Neurosci. 6 376–387 10.1038/nrn1667 [DOI] [PubMed] [Google Scholar]
  9. Bakker C. E., de Diego Otero Y., Bontekoe C., Raghoe P., Luteijn T., Hoogeveen A. T., et al. (2000). Immunocytochemical and biochemical characterization of FMRP, FXR1P, and FXR2P in the mouse. Exp. Cell Res. 258 162–170 10.1006/excr.2000.4932 [DOI] [PubMed] [Google Scholar]
  10. Bassell G. J., Warren S. T. (2008). Fragile X syndrome: loss of local mRNA regulation alters synaptic development and function. Neuron 60 201–214 10.1016/j.neuron.2008.10.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Bear M. F., Huber K. M., Warren S. T. (2004). The mGluR theory of fragile X mental retardation. Trends Neurosci. 27 370–377 10.1016/j.tins.2004.04.009 [DOI] [PubMed] [Google Scholar]
  12. Bechara E. G., Didiot M. C., Melko M., Davidovic L., Bensaid M., Martin P., et al. (2009). A novel function for fragile X mental retardation protein in translational activation. PLoS Biol. 7:e16 10.1371/journal.pbio.1000016 [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Berry-Kravis E. (2014). Mechanism-based treatments in neurodevelopmental disorders: fragile X syndrome. Pediatr. Neurol. 50 297–302 10.1016/j.pediatrneurol.2013.12.001 [DOI] [PubMed] [Google Scholar]
  14. Berry-Kravis E., Hessl D., Coffey S., Hervey C., Schneider A., Yuhas J., et al. (2009). A pilot open label, single dose trial of fenobam in adults with fragile X syndrome. J. Med. Genet. 46 266–271 10.1136/jmg.2008.063701 [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Berry-Kravis E. M., Hessl D., Rathmell B., Zarevics P., Cherubini M., Walton-Bowen K., et al. (2012). Effects of STX209 (arbaclofen) on neurobehavioral function in children and adults with fragile X syndrome: a randomized, controlled, phase 2 trial. Sci. Transl. Med. 4 152ra127. 10.1126/scitranslmed.3004214 [DOI] [PubMed] [Google Scholar]
  16. Bilousova T. V., Dansie L., Ngo M., Aye J., Charles J. R., Ethell D. W., et al. (2009). Minocycline promotes dendritic spine maturation and improves behavioural performance in the fragile X mouse model. J. Med. Genet. 46 94–102 10.1136/jmg.2008.061796 [DOI] [PubMed] [Google Scholar]
  17. Boolell M., Allen M. J., Ballard S. A., Gepi-Attee S., Muirhead G. J., Naylor A. M., et al. (1996). Sildenafil: an orally active type 5 cyclic GMP-specific phosphodiesterase inhibitor for the treatment of penile erectile dysfunction. Int. J. Impot. Res. 8 47–52 [PubMed] [Google Scholar]
  18. Bourgeois J. P. (1997). Synaptogenesis, heterochrony and epigenesis in the mammalian neocortex. Acta Paediatr. Suppl. 422 27–33 10.1111/j.1651-2227.1997.tb18340.x [DOI] [PubMed] [Google Scholar]
  19. Bray S., Hirt M., Jo B., Hall S. S., Lightbody A. A., Walter E., et al. (2011). Aberrant frontal lobe maturation in adolescents with fragile X syndrome is related to delayed cognitive maturation. Biol. Psychiatry 70 852–858 10.1016/j.biopsych.2011.05.038 [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Bredt D. S., Snyder S. H. (1994). Nitric oxide: a physiologic messenger molecule. Annu. Rev. Biochem. 63 175–195 10.1146/annurev.bi.63.070194.001135 [DOI] [PubMed] [Google Scholar]
  21. Brenman J. E., Bredt D. S. (1997). Synaptic signaling by nitric oxide. Curr. Opin. Neurobiol. 7 374–378 10.1016/S0959-4388(97)80065-7 [DOI] [PubMed] [Google Scholar]
  22. Brenman J. E., Chao D. S., Gee S. H., McGee A. W., Craven S. E., Santillano D. R., et al. (1996). Interaction of nitric oxide synthase with the postsynaptic density protein PSD-95 and alpha1-syntrophin mediated by PDZ domains. Cell 84 757–767 10.1016/S0092-8674(00)81053-3 [DOI] [PubMed] [Google Scholar]
  23. Britanova O., de Juan Romero C., Cheung A., Kwan K. Y., Schwark M., Gyorgy A., et al. (2008). Satb2 is a postmitotic determinant for upper-layer neuron specification in the neocortex. Neuron 57 378–392 10.1016/j.neuron.2007.12.028 [DOI] [PubMed] [Google Scholar]
  24. Brown J. W., Braver T. S. (2005). Learned predictions of error likelihood in the anterior cingulate cortex. Science 307 1118–1121 10.1126/science.1105783 [DOI] [PubMed] [Google Scholar]
  25. Brown V., Jin P., Ceman S., Darnell J. C., O’Donnell W. T., Tenenbaum S. A., et al. (2001). Microarray identification of FMRP-associated brain mRNAs and altered mRNA translational profiles in fragile X syndrome. Cell 107 477–487 10.1016/S0092-8674(01)00568-2 [DOI] [PubMed] [Google Scholar]
  26. Burette A., Zabel U., Weinberg R. J., Schmidt H. H., Valtschanoff J. G. (2002). Synaptic localization of nitric oxide synthase and soluble guanylyl cyclase in the hippocampus. J. Neurosci. 22 8961–8970 [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Bush G., Frazier J. A., Rauch S. L., Seidman L. J., Whalen P. J., Jenike M. A., et al. (1999). Anterior cingulate cortex dysfunction in attention-deficit/hyperactivity disorder revealed by fMRI and the Counting Stroop. Biol. Psychiatry 45 1542–1552 10.1016/S0006-3223(99)00083-9 [DOI] [PubMed] [Google Scholar]
  28. Bush G., Vogt B. A., Holmes J., Dale A. M., Greve D., Jenike M. A., et al. (2002). Dorsal anterior cingulate cortex: a role in reward-based decision making. Proc. Natl. Acad. Sci. U.S.A. 99 523–528 10.1073/pnas.012470999 [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Buxhoeveden D. P., Casanova M. F. (2002). The minicolumn hypothesis in neuroscience. Brain 125 935–951 10.1093/brain/awf110 [DOI] [PubMed] [Google Scholar]
  30. Calabrese V., Mancuso C., Calvani M., Rizzarelli E., Butterfield D. A., Stella A. M. (2007). Nitric oxide in the central nervous system: neuroprotection versus neurotoxicity. Nat. Rev. Neurosci. 8 766–775 10.1038/nrn2214 [DOI] [PubMed] [Google Scholar]
  31. Carroll L. S., Owen M. J. (2009). Genetic overlap between autism, schizophrenia and bipolar disorder. Genome Med. 1 102 10.1186/gm102 [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Casanova M. F., Buxhoeveden D., Gomez J. (2003). Disruption in the inhibitory architecture of the cell minicolumn: implications for autism. Neuroscientist 9 496–507 10.1177/1073858403253552 [DOI] [PubMed] [Google Scholar]
  33. Casanova M. F., Buxhoeveden D. P., Switala A. E., Roy E. (2002). Minicolumnar pathology in autism. Neurology 58 428–432 10.1212/WNL.58.3.428 [DOI] [PubMed] [Google Scholar]
  34. Clancy B., Kersh B., Hyde J., Darlington R. B., Anand K. J., Finlay B. L. (2007). Web-based method for translating neurodevelopment from laboratory species to humans. Neuroinformatics 5 79–94 10.1385/NI:5:1:79 [DOI] [PubMed] [Google Scholar]
  35. Colantuoni C., Lipska B. K., Ye T., Hyde T. M., Tao R., Leek J. T., et al. (2011). Temporal dynamics and genetic control of transcription in the human prefrontal cortex. Nature 478 519–523 10.1038/nature10524 [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Comery T. A., Harris J. B., Willems P. J., Oostra B. A., Irwin S. A., Weiler I. J., et al. (1997). Abnormal dendritic spines in fragile X knockout mice: maturation and pruning deficits. Proc. Natl. Acad. Sci. U.S.A. 94 5401–5404 10.1073/pnas.94.10.5401 [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Contestabile A. (2000). Roles of NMDA receptor activity and nitric oxide production in brain development. Brain Res. Brain Res. Rev. 32 476–509 10.1016/S0165-0173(00)00018-7 [DOI] [PubMed] [Google Scholar]
  38. Crottaz-Herbette S., Menon V. (2006). Where and when the anterior cingulate cortex modulates attentional response: combined fMRI and ERP evidence. J. Cogn. Neurosci. 18 766–780 10.1162/jocn.2006.18.5.766 [DOI] [PubMed] [Google Scholar]
  39. Darnell J. C., Jensen K. B., Jin P., Brown V., Warren S. T., Darnell R. B. (2001). Fragile X mental retardation protein targets G quartet mRNAs important for neuronal function. Cell 107 489–499 10.1016/S0092-8674(01)00566-9 [DOI] [PubMed] [Google Scholar]
  40. Darnell J. C., Van Driesche S. J., Zhang C., Hung K. Y., Mele A., Fraser C. E., et al. (2011). FMRP stalls ribosomal translocation on mRNAs linked to synaptic function and autism. Cell 146 247–261 10.1016/j.cell.2011.06.013 [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Davey C. G., Harrison B. J., Yücel M., Allen N. B. (2012). Regionally specific alterations in functional connectivity of the anterior cingulate cortex in major depressive disorder. Psychol. Med. 42 2071–2081 10.1017/S0033291712000323 [DOI] [PubMed] [Google Scholar]
  42. De Fossé L., Hodge S. M., Makris N., Kennedy D. N., Caviness V. S., McGrath L., et al. (2004). Language-association cortex asymmetry in autism and specific language impairment. Ann. Neurol. 56 757–766 10.1002/ana.20275 [DOI] [PubMed] [Google Scholar]
  43. de Graaf-Peters V. B., Hadders-Algra M. (2006). Ontogeny of the human central nervous system: what is happening when? Early Hum. Dev. 82 257–266 10.1016/j.earlhumdev.2005.10.013 [DOI] [PubMed] [Google Scholar]
  44. Devinsky O., Morrell M. J., Vogt B. A. (1995). Contributions of anterior cingulate cortex to behaviour. Brain 118(Pt 1) 279–306 10.1093/brain/118.1.279 [DOI] [PubMed] [Google Scholar]
  45. Devys D., Lutz Y., Rouyer N., Bellocq J. P., Mandel J. L. (1993). The FMR-1 protein is cytoplasmic, most abundant in neurons and appears normal in carriers of a fragile X premutation. Nat. Genet. 4 335–340 10.1038/ng0893-335 [DOI] [PubMed] [Google Scholar]
  46. Dinstein I., Pierce K., Eyler L., Solso S., Malach R., Behrmann M., et al. (2011). Disrupted neural synchronization in toddlers with autism. Neuron 70 1218–1225 10.1016/j.neuron.2011.04.018 [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Drevets W. C., Savitz J., Trimble M. (2008). The subgenual anterior cingulate cortex in mood disorders. CNS Spectr. 13 663–681 [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Dölen G., Osterweil E., Rao B. S., Smith G. B., Auerbach B. D., Chattarji S., et al. (2007). Correction of fragile X syndrome in mice. Neuron 56 955–962 10.1016/j.neuron.2007.12.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Eisen M. B., Spellman P. T., Brown P. O., Botstein D. (1998). Cluster analysis and display of genome-wide expression patterns. Proc. Natl. Acad. Sci. U.S.A. 95 14863–14868 10.1073/pnas.95.25.14863 [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Erickson C. A., Veenstra-Vanderweele J. M., Melmed R. D., McCracken J. T., Ginsberg L. D., Sikich L., et al. (2014). STX209 (arbaclofen) for autism spectrum disorders: an 8-week open-label study. J. Autism Dev. Disord. 44 958–964 10.1007/s10803-013-1963-z [DOI] [PubMed] [Google Scholar]
  51. Etkin A., Egner T., Kalisch R. (2011). Emotional processing in anterior cingulate and medial prefrontal cortex. Trends Cogn. Sci. 15 85–93 10.1016/j.tics.2010.11.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Feng Y., Gutekunst C. A., Eberhart D. E., Yi H., Warren S. T., Hersch S. M. (1997). Fragile X mental retardation protein: nucleocytoplasmic shuttling and association with somatodendritic ribosomes. J. Neurosci. 17 1539–1547 [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. Ferreira M. A., O’Donovan M. C., Meng Y. A., Jones I. R., Ruderfer D. M., Jones L., et al. (2008). Collaborative genome-wide association analysis supports a role for ANK3 and CACNA1C in bipolar disorder. Nat. Genet. 40 1056–1058. 10.1038/ng.209 [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Fisher S. E., Scharff C. (2009). FOXP2 as a molecular window into speech and language. Trends Genet. 25 166–177 10.1016/j.tig.2009.03.002 [DOI] [PubMed] [Google Scholar]
  55. Fromer M., Pocklington A. J., Kavanagh D. H., Williams H. J., Dwyer S., Gormley P., et al. (2014). De novo mutations in schizophrenia implicate synaptic networks. Nature 506 179–184 10.1038/nature12929 [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Frye R. E., DeLatorre R., Taylor H. B., Slattery J., Melnyk S., Chowdhury N., et al. (2013). Metabolic effects of sapropterin treatment in autism spectrum disorder: a preliminary study. Transl. Psychiatry 3 e237. 10.1038/tp.2013.14 [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Fähling M., Mrowka R., Steege A., Kirschner K. M., Benko E., Förstera B., et al. (2009). Translational regulation of the human achaete-scute homologue-1 by fragile X mental retardation protein. J. Biol. Chem. 284 4255–4266 10.1074/jbc.M807354200 [DOI] [PubMed] [Google Scholar]
  58. Gabel L. A., Won S., Kawai H., McKinney M., Tartakoff A. M., Fallon J. R. (2004). Visual experience regulates transient expression and dendritic localization of fragile X mental retardation protein. J. Neurosci. 24 10579–10583 10.1523/JNEUROSCI.2185-04.2004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Gantois I., Pop A. S., de Esch C. E., Buijsen R. A., Pooters T., Gomez-Mancilla B., et al. (2013). Chronic administration of AFQ056/Mavoglurant restores social behaviour in Fmr1 knockout mice. Behav. Brain Res. 239 72–79 10.1016/j.bbr.2012.10.059 [DOI] [PubMed] [Google Scholar]
  60. Gao S. F., Qi X. R., Zhao J., Balesar R., Bao A. M., Swaab D. F. (2013). Decreased NOS1 expression in the anterior cingulate cortex in depression. Cereb. Cortex 23 2956–2964 10.1093/cercor/bhs285 [DOI] [PubMed] [Google Scholar]
  61. Garber K. (2007). Neuroscience. Autism’s cause may reside in abnormalities at the synapse. Science 317 190–191 10.1126/science.317.5835.190 [DOI] [PubMed] [Google Scholar]
  62. García-Barroso C., Ricobaraza A., Pascual-Lucas M., Unceta N., Rico A. J., Goicolea M. A., et al. (2013). Tadalafil crosses the blood-brain barrier and reverses cognitive dysfunction in a mouse model of AD. Neuropharmacology 64 114–123 10.1016/j.neuropharm.2012.06.052 [DOI] [PubMed] [Google Scholar]
  63. Garthwaite J. (2008). Concepts of neural nitric oxide-mediated transmission. Eur. J. Neurosci. 27 2783–2802 10.1111/j.1460-9568.2008.06285.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Garthwaite J., Boulton C. L. (1995). Nitric oxide signaling in the central nervous system. Annu. Rev. Physiol. 57 683–706 10.1146/annurev.ph.57.030195.003343 [DOI] [PubMed] [Google Scholar]
  65. Geschwind D., Konopka G. (2009). Neuroscience in the era of functional genomics and systems biology. Nature 461 908–915 10.1038/nature08537 [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. Geschwind D. H., Rakic P. (2013). Cortical evolution: judge the brain by its cover. Neuron 80 633–647 10.1016/j.neuron.2013.10.045 [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Goldman-Rakic P. S. (1996). The prefrontal landscape: implications of functional architecture for understanding human mentation and the central executive. Philos. Trans. R. Soc. Lond. B Biol. Sci. 351 1445–1453 10.1098/rstb.1996.0129 [DOI] [PubMed] [Google Scholar]
  68. Gross C., Yao X., Pong D. L., Jeromin A., Bassell G. J. (2011). Fragile X mental retardation protein regulates protein expression and mRNA translation of the potassium channel Kv4.2. J. Neurosci. 31 5693–5698 10.1523/JNEUROSCI.6661-10.2011 [DOI] [PMC free article] [PubMed] [Google Scholar]
  69. Guan J., Gluckman P. D. (2009). IGF-1 derived small neuropeptides and analogues: a novel strategy for the development of pharmaceuticals for neurological conditions. Br. J. Pharmacol. 157 881–891 10.1111/j.1476-5381.2009.00256.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  70. Guan J., Waldvogel H. J., Faull R. L., Gluckman P. D., Williams C. E. (1999). The effects of the N-terminal tripeptide of insulin-like growth factor-1, glycine-proline-glutamate in different regions following hypoxic-ischemic brain injury in adult rats. Neuroscience 89 649–659 10.1016/S0306-4522(98)00338-8 [DOI] [PubMed] [Google Scholar]
  71. Gulsuner S., Walsh T., Watts A. C., Lee M. K., Thornton A. M., Casadei S., et al. (2013). Spatial and temporal mapping of de novo mutations in schizophrenia to a fetal prefrontal cortical network. Cell 154 518–529 10.1016/j.cell.2013.06.049 [DOI] [PMC free article] [PubMed] [Google Scholar]
  72. Haas B. W., Barnea-Goraly N., Lightbody A. A., Patnaik S. S., Hoeft F., Hazlett H., et al. (2009). Early white-matter abnormalities of the ventral frontostriatal pathway in fragile X syndrome. Dev. Med. Child Neurol. 51 593–599 10.1111/j.1469-8749.2009.03295.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  73. Haddad P. M., Dursun S. M. (2008). Neurological complications of psychiatric drugs: clinical features and management. Hum. Psychopharmacol. 23(Suppl. 1) 15–26 10.1002/hup.918 [DOI] [PubMed] [Google Scholar]
  74. Hadley R. D., Kater S. B., Cohan C. S. (1983). Electrical synapse formation depends on interaction of mutually growing neurites. Science 221 466–468 10.1126/science.6867723 [DOI] [PubMed] [Google Scholar]
  75. Hagerman R., Hoem G., Hagerman P. (2010). Fragile X and autism: intertwined at the molecular level leading to targeted treatments. Mol. Autism 1 12 10.1186/2040-2392-1-12 [DOI] [PMC free article] [PubMed] [Google Scholar]
  76. Hall S. S., Jiang H., Reiss A. L., Greicius M. D. (2013). Identifying large-scale brain networks in fragile X syndrome. JAMA Psychiatry 70 1215–1223 10.1001/jamapsychiatry.2013.247 [DOI] [PMC free article] [PubMed] [Google Scholar]
  77. Hallak J. E., Maia-de-Oliveira J. P., Abrao J., Evora P. R., Zuardi A. W., Crippa J. A., et al. (2013). Rapid improvement of acute schizophrenia symptoms after intravenous sodium nitroprusside: a randomized, double-blind, placebo-controlled trial. JAMA Psychiatry 70 668–676 10.1001/jamapsychiatry.2013.1292 [DOI] [PubMed] [Google Scholar]
  78. Harris S. W., Hessl D., Goodlin-Jones B., Ferranti J., Bacalman S., Barbato I., et al. (2008). Autism profiles of males with fragile X syndrome. Am. J. Ment. Retard. 113 427–438 10.1352/2008.113:427-438 [DOI] [PMC free article] [PubMed] [Google Scholar]
  79. Henin A., Micco J. A., Wozniak J., Briesch J. M., Narayan A. J., Hirshfeld-Becker D. R. (2009). Neurocognitive functioning in bipolar disorder. Clin. Psychol. Sci. Pract. 16 231–250 10.1111/j.1468-2850.2009.01162.x [DOI] [Google Scholar]
  80. Henseler I., Falkai P., Gruber O. (2010). Disturbed functional connectivity within brain networks subserving domain-specific subcomponents of working memory in schizophrenia: relation to performance and clinical symptoms. J. Psychiatr. Res. 44 364–372 10.1016/j.jpsychires.2009.09.003 [DOI] [PubMed] [Google Scholar]
  81. Hinds H. L., Ashley C. T., Sutcliffe J. S., Nelson D. L., Warren S. T., Housman D. E., et al. (1993). Tissue specific expression of FMR-1 provides evidence for a functional role in fragile X syndrome. Nat. Genet. 3 36–43 10.1038/ng0193-36 [DOI] [PubMed] [Google Scholar]
  82. Huber K. M., Gallagher S. M., Warren S. T., Bear M. F. (2002). Altered synaptic plasticity in a mouse model of fragile X mental retardation. Proc. Natl. Acad. Sci. U.S.A. 99 7746–7750 10.1073/pnas.122205699 [DOI] [PMC free article] [PubMed] [Google Scholar]
  83. Huber K. M., Kayser M. S., Bear M. F. (2000). Role for rapid dendritic protein synthesis in hippocampal mGluR-dependent long-term depression. Science 288 1254–1257 10.1126/science.288.5469.1254 [DOI] [PubMed] [Google Scholar]
  84. Huber K. M., Roder J. C., Bear M. F. (2001). Chemical induction of mGluR5- and protein synthesis – dependent long-term depression in hippocampal area CA1. J. Neurophysiol. 86 321–325 [DOI] [PubMed] [Google Scholar]
  85. Hutsler J. J., Zhang H. (2010). Increased dendritic spine densities on cortical projection neurons in autism spectrum disorders. Brain Res. 1309 83–94 10.1016/j.brainres.2009.09.120 [DOI] [PubMed] [Google Scholar]
  86. Hölscher C. (1997). Nitric oxide, the enigmatic neuronal messenger: its role in synaptic plasticity. Trends Neurosci. 20 298–303 10.1016/S0166-2236(97)01065-5 [DOI] [PubMed] [Google Scholar]
  87. Iossifov I., Ronemus M., Levy D., Wang Z., Hakker I., Rosenbaum J., et al. (2012). De novo gene disruptions in children on the autistic spectrum. Neuron 74 285–299 10.1016/j.neuron.2012.04.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  88. Irwin S. A., Galvez R., Greenough W. T. (2000). Dendritic spine structural anomalies in fragile-X mental retardation syndrome. Cereb. Cortex 10 1038–1044 10.1093/cercor/10.10.1038 [DOI] [PubMed] [Google Scholar]
  89. Jacquemont S., Berry-Kravis E., Hagerman R., von Raison F., Gasparini F., Apostol G., et al. (2014). The challenges of clinical trials in fragile X syndrome. Psychopharmacology (Berl.) 231 1237–1250 10.1007/s00213-013-3289-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  90. Jacquemont S., Curie A., des Portes V., Torrioli M. G., Berry-Kravis E., Hagerman R. J., et al. (2011). Epigenetic modification of the FMR1 gene in fragile X syndrome is associated with differential response to the mGluR5 antagonist AFQ056. Sci. Transl. Med. 3 64ra1. 10.1126/scitranslmed.3001708 [DOI] [PubMed] [Google Scholar]
  91. Johnson M. B., Kawasawa Y. I., Mason C. E., Krsnik Z., Coppola G., Bogdanovic D., et al. (2009). Functional and evolutionary insights into human brain development through global transcriptome analysis. Neuron 62 494–509 10.1016/j.neuron.2009.03.027 [DOI] [PMC free article] [PubMed] [Google Scholar]
  92. Judas M., Cepanec M. (2007). Adult structure and development of the human fronto-opercular cerebral cortex (Broca’s region). Clin. Linguist. Phon. 21 975–989 10.1080/02699200701617175 [DOI] [PubMed] [Google Scholar]
  93. Kang H. J., Kawasawa Y. I., Cheng F., Zhu Y., Xu X., Li M., et al. (2011). Spatio-temporal transcriptome of the human brain. Nature 478 483–489 10.1038/nature10523 [DOI] [PMC free article] [PubMed] [Google Scholar]
  94. Kaufmann W. E., Moser H. W. (2000). Dendritic anomalies in disorders associated with mental retardation. Cereb. Cortex 10 981–991 10.1093/cercor/10.10.981 [DOI] [PubMed] [Google Scholar]
  95. Keller S. S., Crow T., Foundas A., Amunts K., Roberts N. (2009). Broca’s area: nomenclature, anatomy, typology and asymmetry. Brain Lang. 109 29–48 10.1016/j.bandl.2008.11.005 [DOI] [PubMed] [Google Scholar]
  96. Kim M. J., Chung Y. H., Joo K. M., Oh G. T., Kim J., Lee B., et al. (2004). Immunohistochemical study of the distribution of neuronal voltage-gated calcium channels in the nNOS knock-out mouse cerebellum. Neurosci. Lett. 369 39–43 10.1016/j.neulet.2004.07.047 [DOI] [PubMed] [Google Scholar]
  97. Kindler S., Kreienkamp H. J. (2012). The role of the postsynaptic density in the pathology of the fragile X syndrome. Results Probl. Cell Differ. 54 61–80 10.1007/978-3-642-21649-7_5 [DOI] [PubMed] [Google Scholar]
  98. Ko J. H., Ptito A., Monchi O., Cho S. S., Van Eimeren T., Pellecchia G., et al. (2009). Increased dopamine release in the right anterior cingulate cortex during the performance of a sorting task: a [11C]FLB 457 PET study. Neuroimage 46 516–521 10.1016/j.neuroimage.2009.02.031 [DOI] [PMC free article] [PubMed] [Google Scholar]
  99. Kovács T., Kelemen O., Kéri S. (2013). Decreased fragile X mental retardation protein (FMRP) is associated with lower IQ and earlier illness onset in patients with schizophrenia. Psychiatry Res. 210 690–693 10.1016/j.psychres.2012.12.022 [DOI] [PubMed] [Google Scholar]
  100. Krumm N., O’Roak B. J., Shendure J., Eichler E. E. (2014). A de novo convergence of autism genetics and molecular neuroscience. Trends Neurosci. 37 95–105 10.1016/j.tins.2013.11.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  101. Kuperberg G. R., West W. C., Lakshmanan B. M., Goff D. (2008). Functional magnetic resonance imaging reveals neuroanatomical dissociations during semantic integration in schizophrenia. Biol. Psychiatry 64 407–418 10.1016/j.biopsych.2008.03.018 [DOI] [PMC free article] [PubMed] [Google Scholar]
  102. Kwan K. Y. (2013). Transcriptional dysregulation of neocortical circuit assembly in ASD. Int. Rev. Neurobiol. 113 167–205 10.1016/B978-0-12-418700-9.00006-X [DOI] [PMC free article] [PubMed] [Google Scholar]
  103. Kwan K. Y., Lam M. M., Johnson M. B., Dube U., Shim S., Rašin M. R., et al. (2012a). Species-dependent posttranscriptional regulation of NOS1 by FMRP in the developing cerebral cortex. Cell 149 899–911 10.1016/j.cell.2012.02.060 [DOI] [PMC free article] [PubMed] [Google Scholar]
  104. Kwan K. Y., Sestan N., Anton E. S. (2012b). Transcriptional co-regulation of neuronal migration and laminar identity in the neocortex. Development 139 1535–1546 10.1242/dev.069963 [DOI] [PMC free article] [PubMed] [Google Scholar]
  105. Lai C. S., Fisher S. E., Hurst J. A., Vargha-Khadem F., Monaco A. P. (2001). A forkhead-domain gene is mutated in a severe speech and language disorder. Nature 413 519–523 10.1038/35097076 [DOI] [PubMed] [Google Scholar]
  106. Leigh M. J., Nguyen D. V., Mu Y., Winarni T. I., Schneider A., Chechi T., et al. (2013). A randomized double-blind, placebo-controlled trial of minocycline in children and adolescents with fragile x syndrome. J. Dev. Behav. Pediatr. 34 147–155 10.1097/DBP.0b013e318287cd17 [DOI] [PMC free article] [PubMed] [Google Scholar]
  107. Lewis J. D., Evans A. C., Pruett J. R., Botteron K., Zwaigenbaum L., Estes A., et al. (2014). Network inefficiencies in autism spectrum disorder at 24 months. Transl. Psychiatry 4 e388. 10.1038/tp.2014.24 [DOI] [PMC free article] [PubMed] [Google Scholar]
  108. Liebenberg N., Harvey B. H., Brand L., Brink C. B. (2010). Antidepressant-like properties of phosphodiesterase type 5 inhibitors and cholinergic dependency in a genetic rat model of depression. Behav. Pharmacol. 21 540–547 10.1097/FBP.0b013e32833befe5 [DOI] [PubMed] [Google Scholar]
  109. Liebenberg N., Harvey B. H., Brand L., Wegener G., Brink C. B. (2012). Chronic treatment with the phosphodiesterase type 5 inhibitors sildenafil and tadalafil display anxiolytic effects in Flinders Sensitive Line rats. Metab. Brain Dis. 27 337–340 10.1007/s11011-012-9284-z [DOI] [PubMed] [Google Scholar]
  110. Lu A. T., Dai X., Martinez-Agosto J. A., Cantor R. M. (2012). Support for calcium channel gene defects in autism spectrum disorders. Mol. Autism 3 18 10.1186/2040-2392-3-18 [DOI] [PMC free article] [PubMed] [Google Scholar]
  111. Markram H., Toledo-Rodriguez M., Wang Y., Gupta A., Silberberg G., Wu C. (2004). Interneurons of the neocortical inhibitory system. Nat. Rev. Neurosci. 5 793–807 10.1038/nrn1519 [DOI] [PubMed] [Google Scholar]
  112. Mayberg H. S., Brannan S. K., Mahurin R. K., Jerabek P. A., Brickman J. S., Tekell J. L., et al. (1997). Cingulate function in depression: a potential predictor of treatment response. Neuroreport 8 1057–1061 10.1097/00001756-199703030-00048 [DOI] [PubMed] [Google Scholar]
  113. McCarthy S. E., Gillis J., Kramer M., Lihm J., Yoon S., Berstein Y., et al. (2014). De novo mutations in schizophrenia implicate chromatin remodeling and support a genetic overlap with autism and intellectual disability. Mol. Psychiatry 19 652–658 10.1038/mp.2014.29 [DOI] [PMC free article] [PubMed] [Google Scholar]
  114. Menon V., Leroux J., White C. D., Reiss A. L. (2004). Frontostriatal deficits in fragile X syndrome: relation to FMR1 gene expression. Proc. Natl. Acad. Sci. U.S.A. 101 3615–3620 10.1073/pnas.0304544101 [DOI] [PMC free article] [PubMed] [Google Scholar]
  115. Miller E. K., Freedman D. J., Wallis J. D. (2002). The prefrontal cortex: categories, concepts and cognition. Philos. Trans. R Soc. Lond. B Biol. Sci. 357 1123–1136 10.1098/rstb.2002.1099 [DOI] [PMC free article] [PubMed] [Google Scholar]
  116. Miyashiro K. Y., Beckel-Mitchener A., Purk T. P., Becker K. G., Barret T., Liu L., et al. (2003). RNA cargoes associating with FMRP reveal deficits in cellular functioning in Fmr1 null mice. Neuron 37 417–431 10.1016/S0896-6273(03)00034-5 [DOI] [PubMed] [Google Scholar]
  117. Morales-Medina J. C., Mejorada A., Romero-Curiel A., Flores G. (2007). Alterations in dendritic morphology of hippocampal neurons in adult rats after neonatal administration of N-omega-nitro-L-arginine. Synapse 61 785–789 10.1002/syn.20406 [DOI] [PubMed] [Google Scholar]
  118. Mountcastle V. B. (1997). The columnar organization of the neocortex. Brain 120(Pt 4) 701–722 10.1093/brain/120.4.701 [DOI] [PubMed] [Google Scholar]
  119. Nikonenko I., Boda B., Steen S., Knott G., Welker E., Muller D. (2008). PSD-95 promotes synaptogenesis and multiinnervated spine formation through nitric oxide signaling. J. Cell Biol. 183 1115–1127 10.1083/jcb.200805132 [DOI] [PMC free article] [PubMed] [Google Scholar]
  120. Nimchinsky E. A., Oberlander A. M., Svoboda K. (2001). Abnormal development of dendritic spines in FMR1 knock-out mice. J. Neurosci. 21 5139–5146 [DOI] [PMC free article] [PubMed] [Google Scholar]
  121. O’Donnell W. T., Warren S. T. (2002). A decade of molecular studies of fragile X syndrome. Annu. Rev. Neurosci. 25 315–338 10.1146/annurev.neuro.25.112701.142909 [DOI] [PubMed] [Google Scholar]
  122. Oberlé I., Rousseau F., Heitz D., Kretz C., Devys D., Hanauer A., et al. (1991). Instability of a 550-base pair DNA segment and abnormal methylation in fragile X syndrome. Science 252 1097–1102 10.1126/science.252.5009.1097 [DOI] [PubMed] [Google Scholar]
  123. Oka M., Itoh Y., Ukai Y., Kimura K. (1999). Blockade by NS-7, a neuroprotective compound, of both L-type and P/Q-type Ca2+ channels involving depolarization-stimulated nitric oxide synthase activity in primary neuronal culture. J. Neurochem. 72 1315–1322 10.1046/j.1471-4159.1999.0721315.x [DOI] [PubMed] [Google Scholar]
  124. Paribello C., Tao L., Folino A., Berry-Kravis E., Tranfaglia M., Ethell I. M., et al. (2010). Open-label add-on treatment trial of minocycline in fragile X syndrome. BMC Neurol. 10:91 10.1186/1471-2377-10-91 [DOI] [PMC free article] [PubMed] [Google Scholar]
  125. Parikshak N. N., Luo R., Zhang A., Won H., Lowe J. K., Chandran V., et al. (2013). Integrative functional genomic analyses implicate specific molecular pathways and circuits in autism. Cell 155 1008–1021 10.1016/j.cell.2013.10.031 [DOI] [PMC free article] [PubMed] [Google Scholar]
  126. Paus T., Petrides M., Evans A. C., Meyer E. (1993). Role of the human anterior cingulate cortex in the control of oculomotor, manual, and speech responses: a positron emission tomography study. J. Neurophysiol. 70 453–469 [DOI] [PubMed] [Google Scholar]
  127. Penzes P., Cahill M. E., Jones K. A., VanLeeuwen J. E., Woolfrey K. M. (2011). Dendritic spine pathology in neuropsychiatric disorders. Nat. Neurosci. 14 285–293 10.1038/nn.2741 [DOI] [PMC free article] [PubMed] [Google Scholar]
  128. Peça J., Ting J., Feng G. (2011). SnapShot: autism and the synapse. Cell 147 706–706e1. 10.1016/j.cell.2011.10.015 [DOI] [PubMed] [Google Scholar]
  129. Picard N., Strick P. L. (1996). Motor areas of the medial wall: a review of their location and functional activation. Cereb. Cortex 6 342–353 10.1093/cercor/6.3.342 [DOI] [PubMed] [Google Scholar]
  130. Pierce K., Redcay E. (2008). Fusiform function in children with an autism spectrum disorder is a matter of “who.” Biol. Psychiatry 64 552–560 10.1016/j.biopsych.2008.05.013 [DOI] [PMC free article] [PubMed] [Google Scholar]
  131. Pinto D., Delaby E., Merico D., Barbosa M., Merikangas A., Klei L., et al. (2014). Convergence of genes and cellular pathways dysregulated in autism spectrum disorders. Am. J. Hum. Genet. 94 677–694 10.1016/j.ajhg.2014.03.018 [DOI] [PMC free article] [PubMed] [Google Scholar]
  132. Pop A. S., Gomez-Mancilla B., Neri G., Willemsen R., Gasparini F. (2014). Fragile X syndrome: a preclinical review on metabotropic glutamate receptor 5 (mGluR5) antagonists and drug development. Psychopharmacology (Berl.) 231 1217–1226 10.1007/s00213-013-3330-3 [DOI] [PubMed] [Google Scholar]
  133. Power J. D., Cohen A. L., Nelson S. M., Wig G. S., Barnes K. A., Church J. A., et al. (2011). Functional network organization of the human brain. Neuron 72 665–678 10.1016/j.neuron.2011.09.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
  134. Purcell S. M., Moran J. L., Fromer M., Ruderfer D., Solovieff N., Roussos P. C., et al. (2014). A polygenic burden of rare disruptive mutations in schizophrenia. Nature 506 185–190 10.1038/nature12975 [DOI] [PMC free article] [PubMed] [Google Scholar]
  135. Quidé Y., Witteveen A. B., El-Hage W., Veltman D. J., Olff M. (2012). Differences between effects of psychological versus pharmacological treatments on functional and morphological brain alterations in anxiety disorders and major depressive disorder: a systematic review. Neurosci. Biobehav. Rev. 36 626–644 10.1016/j.neubiorev.2011.09.004 [DOI] [PubMed] [Google Scholar]
  136. Rajkowska G., Halaris A., Selemon L. D. (2001). Reductions in neuronal and glial density characterize the dorsolateral prefrontal cortex in bipolar disorder. Biol. Psychiatry 49 741–752 10.1016/S0006-3223(01)01080-0 [DOI] [PubMed] [Google Scholar]
  137. Rajkowska G., Miguel-Hidalgo J. J., Wei J., Dilley G., Pittman S. D., Meltzer H. Y., et al. (1999). Morphometric evidence for neuronal and glial prefrontal cell pathology in major depression. Biol. Psychiatry 45 1085–1098 10.1016/S0006-3223(99)00041-4 [DOI] [PubMed] [Google Scholar]
  138. Reif A., Jacob C. P., Rujescu D., Herterich S., Lang S., Gutknecht L., et al. (2009). Influence of functional variant of neuronal nitric oxide synthase on impulsive behaviors in humans. Arch. Gen. Psychiatry 66 41–50 10.1001/archgenpsychiatry.2008.510 [DOI] [PubMed] [Google Scholar]
  139. Rogers S. J., Wehner D. E., Hagerman R. (2001). The behavioral phenotype in fragile X: symptoms of autism in very young children with fragile X syndrome, idiopathic autism, and other developmental disorders. J. Dev. Behav. Pediatr. 22 409–417 10.1097/00004703-200112000-00008 [DOI] [PubMed] [Google Scholar]
  140. Ronesi J. A., Huber K. M. (2008). Metabotropic glutamate receptors and fragile x mental retardation protein: partners in translational regulation at the synapse. Sci. Signal. 1 pe6. 10.1126/stke.15pe6 [DOI] [PubMed] [Google Scholar]
  141. Rutten K., Vente J. D., Sik A., Ittersum M. M., Prickaerts J., Blokland A. (2005). The selective PDE5 inhibitor, sildenafil, improves object memory in Swiss mice and increases cGMP levels in hippocampal slices. Behav. Brain Res. 164 11–16 10.1016/j.bbr.2005.04.021 [DOI] [PubMed] [Google Scholar]
  142. Salgado-Pineda P., Landin-Romero R., Fakra E., Delaveau P., Amann B. L., Blin O. (2014). Structural abnormalities in schizophrenia: further evidence on the key role of the anterior cingulate cortex. Neuropsychobiology 69 52–58 10.1159/000356972 [DOI] [PubMed] [Google Scholar]
  143. Sánchez-Islas E., León-Olea M. (2004). Nitric oxide synthase inhibition during synaptic maturation decreases synapsin I immunoreactivity in rat brain. Nitric Oxide 10 141–149 10.1016/j.niox.2004.04.001 [DOI] [PubMed] [Google Scholar]
  144. Sandner P., Svenstrup N., Tinel H., Haning H., Bischoff E. (2008). Phosphodiesterase 5 inhibitors and erectile dysfunction. Exp. Opin. Ther. Pat. 18 21–33 10.1517/13543776.18.1.21 [DOI] [Google Scholar]
  145. Sattler R., Xiong Z., Lu W. Y., Hafner M., MacDonald J. F., Tymianski M. (1999). Specific coupling of NMDA receptor activation to nitric oxide neurotoxicity by PSD-95 protein. Science 284 1845–1848 10.1126/science.284.5421.1845 [DOI] [PubMed] [Google Scholar]
  146. Schizophrenia Psychiatric Genome-Wide Association Study (GWAS) Consortium. (2011). Genome-wide association study identifies five new schizophrenia loci. Nat. Genet. 43 969–976 10.1038/ng.940 [DOI] [PMC free article] [PubMed] [Google Scholar]
  147. Schweimer J., Hauber W. (2006). Dopamine D1 receptors in the anterior cingulate cortex regulate effort-based decision making. Learn. Mem. 13 777–782 10.1101/lm.409306 [DOI] [PMC free article] [PubMed] [Google Scholar]
  148. Sestieri C., Corbetta M., Spadone S., Romani G. L., Shulman G. L. (2014). Domain-general signals in the cingulo-opercular network for visuospatial attention and episodic memory. J. Cogn. Neurosci. 26 551–568 10.1162/jocn_a_00504 [DOI] [PMC free article] [PubMed] [Google Scholar]
  149. Smoller J. W., Craddock N., Kendler K., Lee P. H., Neale B. M., Nurnberger J. I., et al. (2013). Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis. Lancet 381 1371–1379 10.1016/S0140-6736(12)62129-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  150. Splawski I., Yoo D. S., Stotz S. C., Cherry A., Clapham D. E., Keating M. T. (2006). CACNA1H mutations in autism spectrum disorders. J. Biol. Chem. 281 22085–22091 10.1074/jbc.M603316200 [DOI] [PubMed] [Google Scholar]
  151. State M. W., Šestan N. (2012). Neuroscience. The emerging biology of autism spectrum disorders. Science 337 1301–1303 10.1126/science.1224989 [DOI] [PMC free article] [PubMed] [Google Scholar]
  152. Steinert J. R., Chernova T., Forsythe I. D. (2010). Nitric oxide signaling in brain function, dysfunction, and dementia. Neuroscientist 16 435–452 10.1177/1073858410366481 [DOI] [PubMed] [Google Scholar]
  153. Stuart J. M., Segal E., Koller D., Kim S. K. (2003). A gene-coexpression network for global discovery of conserved genetic modules. Science 302 249–255 10.1126/science.1087447 [DOI] [PubMed] [Google Scholar]
  154. Tamm L., Menon V., Johnston C. K., Hessl D. R., Reiss A. L. (2002). fMRI study of cognitive interference processing in females with fragile X syndrome. J. Cogn. Neurosci. 14 160–171 10.1162/089892902317236812 [DOI] [PubMed] [Google Scholar]
  155. Todd P. K., Mack K. J., Malter J. S. (2003). The fragile X mental retardation protein is required for type-I metabotropic glutamate receptor-dependent translation of PSD-95. Proc. Natl. Acad. Sci. U.S.A. 100 14374–14378 10.1073/pnas.2336265100 [DOI] [PMC free article] [PubMed] [Google Scholar]
  156. Tu P. C., Hsieh J. C., Li C. T., Bai Y. M., Su T. P. (2012). Cortico-striatal disconnection within the cingulo-opercular network in schizophrenia revealed by intrinsic functional connectivity analysis: a resting fMRI study. Neuroimage 59 238–247 10.1016/j.neuroimage.2011.07.086 [DOI] [PubMed] [Google Scholar]
  157. Uddin L. Q., Menon V. (2009). The anterior insula in autism: under-connected and under-examined. Neurosci. Biobehav. Rev. 33 1198–1203 10.1016/j.neubiorev.2009.06.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  158. Uddin M., Tammimies K., Pellecchia G., Alipanahi B., Hu P., Wang Z., et al. (2014). Brain-expressed exons under purifying selection are enriched for de novo mutations in autism spectrum disorder. Nat. Genet. 46 742–747 10.1038/ng.2980 [DOI] [PubMed] [Google Scholar]
  159. Uthayathas S., Parameshwaran K., Karuppagounder S. S., Ahuja M., Dhanasekaran M., Suppiramaniam V. (2013). Selective inhibition of phosphodiesterase 5 enhances glutamatergic synaptic plasticity and memory in mice. Synapse 67 741–747 10.1002/syn.21676 [DOI] [PubMed] [Google Scholar]
  160. Vaden K. I., Kuchinsky S. E., Cute S. L., Ahlstrom J. B., Dubno J. R., Eckert M. A. (2013). The cingulo-opercular network provides word-recognition benefit. J. Neurosci. 33 18979–18986 10.1523/JNEUROSCI.1417-13.2013 [DOI] [PMC free article] [PubMed] [Google Scholar]
  161. Verkerk A. J., Pieretti M., Sutcliffe J. S., Fu Y. H., Kuhl D. P., Pizzuti A., et al. (1991). Identification of a gene (FMR-1) containing a CGG repeat coincident with a breakpoint cluster region exhibiting length variation in fragile X syndrome. Cell 65 905–914 10.1016/0092-8674(91)90397-H [DOI] [PubMed] [Google Scholar]
  162. Vincent A., Heitz D., Petit C., Kretz C., Oberlé I., Mandel J. L. (1991). Abnormal pattern detected in fragile-X patients by pulsed-field gel electrophoresis. Nature 349 624–626 10.1038/349624a0 [DOI] [PubMed] [Google Scholar]
  163. Vruwink M., Schmidt H. H., Weinberg R. J., Burette A. (2001). Substance P and nitric oxide signaling in cerebral cortex: anatomical evidence for reciprocal signaling between two classes of interneurons. J. Comp. Neurol. 441 288–301 10.1002/cne.1413 [DOI] [PubMed] [Google Scholar]
  164. Walsh T., McClellan J. M., McCarthy S. E., Addington A. M., Pierce S. B., Cooper G. M., et al. (2008). Rare structural variants disrupt multiple genes in neurodevelopmental pathways in schizophrenia. Science 320 539–543 10.1126/science.1155174 [DOI] [PubMed] [Google Scholar]
  165. Warren S. T., Zhang F., Licameli G. R., Peters J. F. (1987). The fragile X site in somatic cell hybrids: an approach for molecular cloning of fragile sites. Science 237 420–423 10.1126/science.3603029 [DOI] [PubMed] [Google Scholar]
  166. Weiler I. J., Irwin S. A., Klintsova A. Y., Spencer C. M., Brazelton A. D., Miyashiro K., et al. (1997). Fragile X mental retardation protein is translated near synapses in response to neurotransmitter activation. Proc. Natl. Acad. Sci. U.S.A. 94 5395–5400 10.1073/pnas.94.10.5395 [DOI] [PMC free article] [PubMed] [Google Scholar]
  167. Weinberger D. R., Berman K. F., Zec R. F. (1986). Physiologic dysfunction of dorsolateral prefrontal cortex in schizophrenia. I. Regional cerebral blood flow evidence. Arch. Gen. Psychiatry 43 114–124 10.1001/archpsyc.1986.01800020020004 [DOI] [PubMed] [Google Scholar]
  168. Williams Z. M., Bush G., Rauch S. L., Cosgrove G. R., Eskandar E. N. (2004). Human anterior cingulate neurons and the integration of monetary reward with motor responses. Nat. Neurosci. 7 1370–1375 10.1038/nn1354 [DOI] [PubMed] [Google Scholar]
  169. Willsey A. J., Sanders S. J., Li M., Dong S., Tebbenkamp A. T., Muhle R. A., et al. (2013). Coexpression networks implicate human midfetal deep cortical projection neurons in the pathogenesis of autism. Cell 155 997–1007 10.1016/j.cell.2013.10.020 [DOI] [PMC free article] [PubMed] [Google Scholar]
  170. Workman A. D., Charvet C. J., Clancy B., Darlington R. B., Finlay B. L. (2013). Modeling transformations of neurodevelopmental sequences across mammalian species. J. Neurosci. 33 7368–7383 10.1523/JNEUROSCI.5746-12.2013 [DOI] [PMC free article] [PubMed] [Google Scholar]
  171. Wray N. R., Pergadia M. L., Blackwood D. H., Penninx B. W., Gordon S. D., Nyholt D. R., et al. (2012). Genome-wide association study of major depressive disorder: new results, meta-analysis, and lessons learned. Mol. Psychiatry 17 36–48 10.1038/mp.2010.109 [DOI] [PMC free article] [PubMed] [Google Scholar]
  172. Xu N. J., Henkemeyer M. (2012). Ephrin reverse signaling in axon guidance and synaptogenesis. Semin. Cell Dev. Biol. 23 58–64 10.1016/j.semcdb.2011.10.024 [DOI] [PMC free article] [PubMed] [Google Scholar]
  173. Zalfa F., Eleuteri B., Dickson K. S., Mercaldo V., De Rubeis S., di Penta A., et al. (2007). A new function for the fragile X mental retardation protein in regulation of PSD-95 mRNA stability. Nat. Neurosci. 10 578–587 10.1038/nn1893 [DOI] [PMC free article] [PubMed] [Google Scholar]
  174. Zhang J., Guo J., Zhao X., Chen Z., Wang G., Liu A., et al. (2013). Phosphodiesterase-5 inhibitor sildenafil prevents neuroinflammation, lowers beta-amyloid levels and improves cognitive performance in APP/PS1 transgenic mice. Behav. Brain Res. 250 230–237 10.1016/j.bbr.2013.05.017 [DOI] [PubMed] [Google Scholar]
  175. Zikopoulos B., Barbas H. (2013). Altered neural connectivity in excitatory and inhibitory cortical circuits in autism. Front. Hum. Neurosci. 7:609 10.3389/fnhum.2013.00609 [DOI] [PMC free article] [PubMed] [Google Scholar]
  176. Zoghbi H. Y. (2003). Postnatal neurodevelopmental disorders: meeting at the synapse? Science 302 826–830 10.1126/science.1089071 [DOI] [PubMed] [Google Scholar]

Articles from Frontiers in Genetics are provided here courtesy of Frontiers Media SA

RESOURCES