Abstract
Posttraumatic stress disorder (PTSD) is an anxiety disorder that can develop after a traumatic experience such as domestic violence, natural disasters or combat-related trauma. The cost of such disorders on society and the individual can be tremendous. In this article we will review how the neural circuitry implicated in PTSD in humans is related to the neural circuitry of fear. We then discuss how fear conditioning is a suitable model for studying the molecular mechanisms of the fear components which underlie PTSD, and the biology of fear conditioning with a particular focus on the brain derived neurotropic factor (BDNF)-TrkB, GABAergic and glutamatergic ligand-receptor systems. We then summarize how such approaches may help to inform our understanding of PTSD and other stress-related disorders and provide insight to new pharmacological avenues of treatment of PTSD.
Keywords: PTSD, BDNF, TrkB, Fear Conditioning, Extinction, Amygdala, Hippocampus, Prefrontal Cortex, Learning and Memory, Synaptic Plasticity
Introduction
Irrational fear is a major impediment to success and productivity. When Franklin D. Roosevelt acknowledged, in 1933 “the only thing we have to fear is fear itself”, he was commenting on the economic future of the United States, but unreasonable, over-generalized fear can have dramatic effects on all aspects of one’s life. Over-generalized fear is one of the biggest symptoms of anxiety disorders, in particular disorders of fear regulation, including phobia, panic disorder, and posttraumatic stress disorder (PTSD). PTSD is an example of how excessive fear can impair quality of life. While fear learning is an evolutionarily advantageous response mechanism, when fear becomes too generalized, this mechanism may not only be unproductive, but harmful. PTSD is a disorder where learned fear due to a traumatic event becomes generalized to situations that would normally be considered safe and results in autonomic hyperarousal in inappropriate situations.
Three types of symptoms are prevalent in PTSD: reexperiencing, avoidance and hyperarousal. Reexperiencing symptoms involve flashbacks, nightmares and frightening thoughts about the trauma, which can result in physical symptoms, including headaches, pains, and other symptoms of somatization. Avoidance symptoms include avoiding reminders of the experience, feeling emotionally numb, losing interest in previously enjoyable activities, and deficits in learning and memory. These symptoms may cause a person to change his or her personal routine. Finally, hyperarousal symptoms include being easily startled, feeling tense, having difficulty sleeping, and/or having angry outbursts. Reminders of the traumatic event usually trigger reexperiencing and avoidance symptoms whereas hyperarousal symptoms may be present more continuously 1–6.
There is a variability in the prevalence and severity of PTSD 3. Trauma is necessary but not sufficient for the precipitation of PTSD. In fact one of the most critical current questions is why some trauma victims develop PTSD (between 5–30%)1, 3, 4 while others experiencing the same trauma appear to be resilient. In addition, those who meet the criteria for PTSD vary widely in their symptom severity and in the type of symptoms they experience 1, 3–8. A variety of factors contribute to the magnitude of PTSD symptoms, including an individual’s genetic makeup, predisposition, social support network, and early-life experiences 9–12 (Box 1). In other words, these factors may determine an individual’s resilience to trauma. Studying what accounts for this resilience in certain individuals could help target treatments and the prevention of PTSD in trauma victims predisposed to develop PTSD. Understanding the neurobiological mechanisms of PTSD as well as developing more rapid and cost effective treatments is of vital importance. The current review addresses recent molecular approaches to understanding PTSD using animal models of fear, limitations of these models, and speculation about how these models may lead to better treatment and understanding of PTSD and other fear-related disorders.
Box 1. Genetic Association Studies in PTSD.
How it works
These studies compare the DNA of two groups of participants: trauma victims with PTSD and trauma victims without PTSD. Each person gives a sample of cells from their cheek, saliva, or blood. DNA is extracted from these cells and gene chip analyses are performed. Rather than reading DNA sequence, these systems SNPs that are markers for regional DNA variation. If genetic variations are more frequent in the affected participants, then the variations are said to be associated with the disorder.
Some replicated genetic associations found in PTSD
BDNF (Val66Met) SNP
Function: Neurotrophic Factor
-
Result of Polymorphism:
Met allele has been shown to have altered trafficking and secretion in neurons compared to Val allele 51.
Met/met carriers showed increased medial temporal lobe activation (perhaps compensatory) during episodic and encoding retrieval tasks 52.
Greater recruitment of amygdala and PFC activity in Met/Met carriers during memory formation and retrieval of biologically relevant stimuli 53.
Met/Met carriers exhibited impaired extinction learning, which was correlated with altered activation of the amygdala, PFC and the hippocampus 54.
Serotonin transporter (SERT) - short vs. long Allele:
Function: Serotonin transport/reuptake
-
Result of Polymorphism
Different alleles have been associated with altered SERT gene expression/translation 154–156
Findings have been reported in individuals for an increased risk of PTSD with both the long 154, 155 and short allele 154, 156.
Recent data suggest that the short allele is associated with decreased risk of PTSD in low-risk environments (e.g., low crime/unemployment rates) but increased risk of PTSD in high-risk environments 154. This suggests that environment modifies the effect of serotonin-transporter-linked polymorphic region (5-HTTLPR) genotype on PTSD risk (Figure I).
FK506-binding protein 5 (FKBP5)
Function: Glucocorticoid Chaperone Protein
-
Result of Polymorphism:
PTSD associated with differential FKBP5 mRNA and protein expression 157
No main effect of FKBP5 genotype on PTSD 9
FKBP5 SNPs interact with child maltreatment history as a predictor of the severity of adult PTSD symptoms 9.
FKBP5 SNPs may contribute to increased sensitivity of the amygdala/HPA axis response to adult stress
Pavlovian fear conditioning as a model for understanding the underlying mechanisms of pathological fear responses
The neural structures important to PTSD belong to the limbic system, a region important for emotional processing in both humans and animals 13. The three regions within the limbic system most clearly altered in PTSD include the amygdala, the hippocampus, and the prefrontal cortex (PFC). The amygdala regulates learned fear in animal and human studies of Pavlovian fear conditioning (see Glossary) and receives projections from the hippocampus and PFC14–18. Subjects with PTSD show reduced activation of the PFC and hippocampus, which may coincide with reduced top-down control of the amygdala, possibly resulting in a hyper-responsive amygdala signal to fearful stimuli 14. This may result in the disordered fear regulation in PTSD and other fear-related disorders. Other regions involved with PTSD include the parahippocampal gyrus, orbitofrontal cortex, the sensorimotor cortex, the thalamus 7, and the anterior cingulate cortex (Figure 1) 19–21.
Patients with PTSD show markedly different responses to fear conditioning paradigms relative to trauma victims without PTSD 22–31. They demonstrate behavioral sensitization to stress 22–24 and over-generalization of the conditioned stimulus (CS)-unconditioned stimulus (US) response 25, 26. Such patients show impaired extinction of CS-US pairings 27–29 and show impaired fear inhibitory learning 31. It is thought that this altered fear response may result in the intrusive memories and flashbacks, enhanced avoidance of reminder cues, and autonomic hyperarousal seen in PTSD 31, 32. The neural circuitry of fear conditioning is conserved across most vertebrate species, and its behavioral readout is both quick and robust 33, 34. Therefore, fear conditioning is a tractable method of studying the fear response underlying PTSD. Many of the molecular tools that have been developed to study behavior in rodents can be applied to study mechanisms of fear dysregulation, and hence, to develop new therapeutics that may prove valuable for the treatment of PTSD.
Evidence from animal models and human neuroimaging studies suggest that one of the underlying mechanisms of PTSD may be aberrant synaptic plasticity 7, 15, 35–44. Synaptic plasticity describes the changes that occur at the synapse with prolonged synaptic activity. Such changes are physiological, morphological and molecular in nature. Synaptic plasticity is hypothesized to be the underlying basis of learning and memory 35–45. Behaviorally, subjects with PTSD show increased sensitization to stress, overgeneralization of fear associations and failure to extinguish learned fear (Figure 2) 22–31. Animal models that mimic these behavioral abnormalities, such as animals trained in the fear conditioning or extinction learning paradigms, require synaptic plasticity 35–44. Therefore, impairment of fear or extinction processes in PTSD may be indicative of impaired synaptic plasticity. Much is known about the molecular mechanisms of synaptic plasticity, and understanding how PTSD might be a disorder of synaptic plasticity within emotional circuits will provide new avenues for translational research.
There are two practical clinical benefits to understanding the biological mechanisms of PTSD: prevention and treatment. A better understanding the genetics and underlying molecular mechanisms of PTSD will hopefully lead to better predictions about which individuals might be more susceptible to developing PTSD after trauma through genetic, biomarker, and psychological screening. In addition, knowledge of the molecular underpinnings of PTSD will point towards novel molecular targets for drug development. By generating drugs that activate these molecular mediators of plasticity, one may be able to enhance extinction of inappropriate fear associations, or even prevent development of fear associations in at-risk individuals. This area of research shows great promise for potential new approaches to treat PTSD symptoms.
Neurotrophic mechanisms of synaptic plasticity in fear conditioning
The brain derived neurotropic factor (BDNF)-TrkB pathway provides one example of a ligand-receptor system which underlies synaptic plasticity and which has also been implicated in both PTSD in humans and in animal models of fear conditioning, extinction and inhibitory learning. Peripheral plasma and serum studies 46–48 as well as genetic studies have directly linked BDNF to PTSD 49. In addition, transgenic, molecular and behavioral studies in rodents have provided insights into the underlying mechanisms of BDNF signaling in PTSD.
There is burgeoning evidence for an association between a single nucleotide polymorphism (SNP) in the BDNF gene(Val66Met) and various psychiatric disorders, including depression and schizophrenia 49, 50. This mutation is thought to alter BDNF stability and activity-dependent secretion, hence leading to dysfunctional BDNF signaling 51. While there is limited evidence for a role of the Val66Met polymorphism in PTSD, the Val66Met polymorphism may also result in altered memory function 50–55. BDNF (met/met) carriers showed increased medial temporal lobe activation during episodic and encoding retrieval tasks 52. Another study described greater recruitment of amygdala and PFC activity in Met/Met carriers during memory formation and retrieval of biologically relevant stimuli 53. Finally, BDNF(met/Met) carriers exhibited impaired extinction learning, which was correlated with altered activation of the amygdala, PFC and the hippocampus 54–56. Together these data suggest that this polymorphism may play a role in activation of the limbic system during memory formation and emotionally-relevant learning.
Humanized BDNF(Val66Met) knock-in mice with the Met/Met phenotype show increased anxiety-related behaviors compared to Val carrier mice when placed in stressful settings 57, 58. BDNF(Met/met) mice and humans carrying the Met allele show impaired extinction learning after fear conditioning 56, 59. Together these studies suggest that the transgenic mice share a similar phenotype to individuals at risk for PTSD, in that they appear to be more sensitive to stress/anxiety and have impaired extinction of conditioned fear. In addition, BDNF(Met/Met) mice showed impaired NMDA receptor-dependent synaptic plasticity in the hippocampus 60. It has not been reported whether these mice show impaired plasticity in the amygdala and PFC, though the extant data support the idea that PTSD is a disorder of aberrant plasticity mechanisms, and that these mechanisms are regulated by BDNF signaling.
BDNF-TrkB signaling has been shown to be necessary for various aspects of fear conditioning and extinction in all three of the regions implicated in PTSD: the amygdala, the hippocampus, and the PFC 61–73. In the amygdala, BDNF transcription is increased during the consolidation period 2 hours after fear conditioning 63[60–62]. Inhibiting BDNF signaling in the amygdala impairs both the acquisition and consolidation of fear conditioning 67 and the consolidation of extinction66. In addition, an increase in BDNF was observed after the normal window of consolidation at around 12 hours after fear conditioning and this peak in BDNF expression was shown to be crucial for persistence of the fear memory 68. Thus, BDNF signaling in the amygdala appears to play a significant role in synaptic plasticity events underlying the consolidation and the persistence of fear memories.
Mice heterozygous for the BDNF deletion (BDNF+/−) showed impaired contextual fear conditioning, which could be partially rescued with expression of BDNF in the hippocampus 69. Mice in which BDNF was selectively deleted from the hippocampus did not show impaired acquisition of fear conditioning; however there was a marked decrease in extinction of conditioned fear 62. This result suggests that normal hippocampal plasticity is required for normal context-dependent extinction of conditioned fear. Taken together with the findings of smaller hippocampal volumes in subjects with PTSD 62, 69, these convergent data suggest that impaired hippocampal function in PTSD may be causally related to these subjects’ impairment in extinction of fear memories.
BDNF has also been implicated in differential roles in distinct subregions of the PFC in the retention and in the extinction of learned fear. Genetic deletion of BDNF selectively in the prelimbic area (PL) of the PFC causes impairment in consolidation of learned fear, but not extinction 70. In contrast, infusing BDNF into the infralimbic area (IL) of the PFC resulted in reduced fear expression for up to 48 hours after fear conditioning even in the absence of extinction training, but did not erase the original fear memory 71. Rats with impaired extinction showed less BDNF expression in the IL PFC compared to control rats, and infusing BDNF into the IL prevented extinction failure 70. These data suggest that BDNF may be a crucial mediator of neural plasticity in both regions. Due to the differential connectivity and functioning of IL and PL, BDNF in these areas also results in opposite effects. BDNF in the PL is necessary for fear memory formation and expression, whereas BDNF in the IL is apparently necessary for the inhibition, or extinction, of that fear. Thus, BDNF signaling in the PFC plays a critical role in the regulation of fear and emotion, and may serve as a target for enhancing extinction in subjects with PTSD.
The tyrosine kinase B (TrkB) receptor is composed of an extracellular domain that binds BDNF and an intracellular domain that activates signaling pathways through phosphorylation of two tyrosine residues, Y515 or Y816, which activate divergent signaling pathways (Figure 3). Phosphorylation of the Y515 residue allows recruitment of Src homology 2 domain containing)/fibroblast growth factor receptor substrate 2 (Shc/FRS-2) activating the RAS/mitogen activated protein kinase(MAPK) and phosphatidylinositol 3-kinase PI3K pathways. In contrast, phosphorylation of the Y816 residue allows recruitment of phospholipase C (PLC) which activates the Ca2+/calmodulin-dependent protein kinase (CAMK)/cAMP responsive element binding protein (CREB) signaling pathway 74. Genetic mouse models carrying single point mutations at each of these two sites (Y515F or Y816F) have been developed 72. TrkB(Y515F) knock-in heterozygous mice exhibited deficits in consolidation but not acquisition of fear conditioning, while TrkB(Y816F) mice, on the other hand, exhibited deficits in acquisition 72. How acquisition and consolidation lead to differential activation of the TrkB receptor at the Y515 site versus the Y816 site is currently unclear. Furthermore, it will be of interest to study the differentiation role of these phosphorylation sites in the extinction of learned fear.
Despite significant evident suggesting a role for the BDNF-TrkB system in fear-related and other affective disorders, a lack of ligands for the high affinity TrkB receptor has limited progress towards BDNF-related treatments for psychiatric and neurological disorders. However, 7,8-dihydroxyflavone (7,8-DHF) has recently been identified as a relatively specific TrkB agonist which crosses the blood-brain barrier after oral or i.p. systemic administration in mice 61. It was subsequently demonstrated that amygdala TrkB receptors are activated by systemic 7,8-DHF (5mg/kg, i.p.) 73. Additionally, systemic 7,8-DHF rescued the fear consolidation deficit observed in prelimbic BDNF knockout mice [68], and enhanced both the acquisition of fear and its extinction in wild-type mice 73. Furthermore, this agonist appears to rescue an extinction deficit in mice with a history of immobilization stress, which may serve as a face-valid animal model of PTSD [73]. These data suggest that 7,8-DHF and other potential TrkB activating ligands may not only be valuable as pharmacological tools for achieving a better understanding of the role of of BDNF-TrkB signaling pathways in learning and memory, but also as potential therapeutics for reversing learning and extinction deficits associated with psychopathology.
An additional molecule that has been implicated in synaptic plasticityand BDNF regulation is pituitary adenylate cyclase-activating polypeptide (PACAP). PACAP is known to broadly regulate the cellular stress response, however, it was only recently demonstrated to also have a role in human psychological stress responses, such as PTSD. Specifically, a sex-specific (female) association of PACAP blood levels with fear physiology, PTSD diagnosis and symptoms was observed in a population of heavily traumatized subjects 75. Additionally, a single SNP in a putative estrogen response element within the PACAP receptor (PAC1) was associated with PTSD symptoms in females only. This SNP also associated with enhanced levels of fear discrimination and with levels of PAC1 mRNA expression in human cortex. Methylation of the PAC1 gene in peripheral blood was also found to be significantly associated with PTSD 75. Complementing these human findings, PAC1 mRNA expression was induced with either fear conditioning or estrogen replacement in rodent models 75. These data suggest that perturbations in the PACAP-PAC1 pathway are involved in abnormal stress responses underlying PTSD, and that some of the sex-specific differences in PTSD risk/resilience 76 may be in part due to estrogen modulation of this pathway.
GABAergic Inhibitory Regulation of Neuronal Circuits in Fear Conditioning
GABAergic inhibitory control is crucial for the precise regulation of consolidation, expression and extinction of fear conditioning 77–79. Fear conditioning results in a reduction in GABAergic signaling in the basolateral nucleus of the amygdala (BLA) relative to non-fear conditioned controls 80 and genetic deletion of the α1 subunit of the GABAA receptor enhances auditory fear learning 81. Many of the early papers used GABA agonists as a method of inactivating specific brain regions to determine their role in behavior. GABAergic inactivation of the amygdala, hippocampus, PFC and regions of the striatum resulted in impairments in various aspects of conditioned fear 82–84. In addition, GABAergic inactivation of the infralimbic cortex, BLA or ventral hippocampus also impaired fear extinction 83, 85, 86. However, GABAergic signaling is more than a methodological tool for inactivating regions of the brain but appears to maintain tight regulatory control over microcircuits in a region- and cell-type specific manner.
Two recent papers have outlined how GABAergic inhibitory microcircuits may regulate acquisition and expression of fear memories in the central nucleus of the amgydala (CEA). It was originally thought that associative learning primarily occurs in the BLA, whereas the CEA mainly controlled the expression of fear 87. Such regulation of fear expression occurs via projections from central amygdala output neurons, which are mainly located in the medial subdivision (CEm), to the brainstem and hypothalamus 87. However, a role for the CeA in fear acquisition has now been demonstrated 87. Activation of the CEm in mice by pharmacological and physiological techniques was found to result in strong and reversible freezing responses 87. Inactivating the lateral division of the CEA (CEl), but not the CEm, was found to induce unconditioned freezing as well as to impair fear conditioning. From these results it was concluded that neuronal activity in the CEm is necessary and sufficient for driving the freezing response, but that the CEl is required for the acquisition of fear and produces tonic inhibitory control of the CEm, which is reduced during presentation of the conditioned stimulus (CS+) 87.
Moreover, the above study also identified two distinct subpopulations of inhibitory GABAergic neurons in the CEl 87. These neuronal subpopulations were termed CEl “on” and “off” neurons based on their response to fear conditioning. CEl “on” neurons acquired an excitatory response to the CS+ during and after fear acquisition, whereas CEI “off” neurons showed decreased responses to the CS+ during and after fear acquisition. CS evoked excitation of CEl “on” neurons began before the CEl “off” neurons, and both “on” and “off” neurons sent inhibitory projections to the CEm 87. CS evoked inhibition of “off” neurons started immediately prior to excitation of CEM neurons, indicating that increases in CEm firing may be due to a reduction of inhibition from CEl “off” neurons. It is also likely based on the short onset latency of the CS-evoked excitation of CEl “on” neurons that they receive direct input from the sensory thalamus. The CEm also receives thalamic input 87, which may be inhibited by feedforward inhibition through the CE “on” pathway. Based on this physiological data, it is hypothesized that fear conditioning leads to a shift in the balance of activity between distinct classes of CEl neurons, which ultimately regulates the activity of CEm firing 87.
A second recent study has added to the understanding of CEA inhibitory microcircuits by molecularly defining two subtypes of inhibitory neurons in the CEl by the presence or absence of the δ isoform of protein kinase C (PKC-δ) 88. Using molecular and genetic approaches, this study was able to map the functional connectivity of PKC-δ+ and PKC-δ− neurons. Specifically, optogenetic targeting was employed to examine the effect of reversibly silencing PKC-δ+ neurons on the activity of CEl-“on”, CEl “off” and CEm neurons. PKC-δ+ neurons were found to be predominantly late firing neurons, which reciprocally inhibit PKC-δ− neurons. Inactivation of PKC-δ+ neurons evoked action potentials in the CEm output neurons. In addition, tonic activity of CEl “”off” units was strongly suppressed by the inactivation of PKC-δ+ neurons. Taken together, these findings suggest that the PKC-δ+ neurons are likely to be the CEl “off” neurons 88 (Figure 4).
Another recent study observed that temporally precise optogenetic stimulation of BLA terminals in the CeA exerted an acute, reversible anxiolytic effect 89. These results implicate specific BLA-CeA projections as critical circuit elements for acute anxiety control in the mammalian brain.
Together, these three recent papers provide new insight into the role of GABAergic inhibitory microcircuits in the acquisition and expression of fear conditioning. One outstanding question from this research is:if both CEl “off” and CEl “on” units send inhibitory projections to the CEm, why is CEm activity increased rather than decreased after fear conditioning? This may be due simply to a balance between on and off neuron firing, i.e. the effect of decreased CEl “off” firing is greater than the effect of increased CEl “on” firing. Another reason could be that the CEl “on” neurons project to a different subpopulation of CEm neurons. Such recent findings add another level of control to the acquisition of fear. Not only is the BLA complex crucial for fear conditioning, but the CEl appears to be crucial as well. The CEl is downstream of the BLA, but may also work in parallel to form fear memories, as it also receives connections from auditory thalamic nuclei and cortical areas. Because the CEA is downstream of these structures, the CEA might be able to override stimulus discrimination established in upstream structures such as sensory and association cortex and thalamic regions.
Furthermore, feed forward inhibition from intercalated (ITC) neurons may implicate the CEl as the primary target for fear extinction. ITC cells are a very small subpopulation of neurons located just medial to the BLA complex, and appear to be necessary for extinction. Selectively lesioning ITC neurons results in a marked impairment in extinction learning 90. ITC neurons receive glutamateric input from the PFC 91, 92 and directly project to both the CEl and CEm 88. Activating the infralimbic region of the PFC resulted in activation of the immediate early gene, c-fos, in ITC neurons 92, and extinction produced an excitation in ITC neurons, which resulted in inhibition of the CEA output neurons 92. The BLA also synapses onto ITC neurons 93, providing another level of regulation of fear learning and extinction (Figure 4). Clearly, fear conditioning and extinction are under tight regulatory control by GABAergic signaling, and as will be discussed in the next section, glutamatergic signaling also plays a key regulatory role.
Glutamatergic Signaling in Fear conditioning
Glutamate is the main excitatory neurotransmitter in the brain, thus, it is not surprisingly that glutamatergic signaling is essential for the consolidation and extinction of fear. Glutamatergic cells in the BLA are activated after fear conditioning in rodents 94. The BLA receives glutamatergic input from the sensory thalamic and cortical structures as well as the hippocampus and PFC 35. In addition, the BLA sends glutamatergic signals to the CEA, which regulates the inhibitory microcircuits reviewed in the previous section. Glutamate acts on a variety of ionotropic (NMDA, AMPA) and metabotropic receptors (mGluR 1–8), which have been widely demonstrated to play a role in fear conditioning. Ionotropic glutamate receptors are the key mediators of synaptic plasticity required for long term fear memories, whereas mGluRs modulate synaptic plasticity through G-protein coupled signal transduction.
Fear conditioning appears to result in an activation of NMDA receptors 95 and downstream signaling mechanisms result in a subsequent insertion of additional AMPA receptors at synaptic sites 95–99. This increase in surface AMPA receptors results in LTP and an increased responsiveness of the synapse to future CS+ presentations. Antagonizing NMDA receptors in either the hippocampus or BLA impairs consolidation of fear conditionin 100–102. Blocking AMPA receptor insertion in the synaptic membrane in the lateral amygdala blocks fear memory formation 97, 98. Extinction of fear conditioning also appears to be regulated by NMDA and AMPA receptor signaling. Antagonizing NMDA receptors can impair extinction in rodents 102, 103. In addition, there appears to be a reduction in surface AMPA receptors after extinction, relative to fear-conditioned animals that were not extinguished 104.
Changes in NMDA/AMPA ratios appear to happen rapidly during consolidation of memory, but the question remains: How is glutamatergic signaling translated into a long term memory and how is that memory biologically maintained? Protein kinase M zeta (PKMζ) is an atypical isoform of PKC that can stay chronically active despite molecular turnover. Over-expression of PKMζ enhances long-term memory 105 and inhibiting PKMζ can disrupt memory, even after that memory has been formed 105–110. In addition, PKMζ inactivation-induced impairment of fear memory appears to correlate with a decrease in expression of the GluR2 subunit of the AMPA receptor 106. Furthermore, blocking GluR2-dependent removal of postsynaptic AMPA receptors abolished behavioral impairment of PKMζ inhibition 106, suggesting that PKMζ may be a mechanistic switch that maintains memory over time through the regulation of AMPA receptor trafficking. However, a pharmacological inhibitor of PKMζ only temporarily disrupts expression of fear conditioning when administered to rats immediately prior to testing and does not completely abolish the fear memory 107. Thus, at least based on these findings, it appears that PKMζ is an unlikely drug target for PTSD.
An alternative promising avenue for the modulation of glutamatergic signaling has been the development of D-cycloserine (DCS), a NMDA partial agonist. DCS has been shown to facilitate extinction learning in animals and humans 111–123. More recently, DCS has been suggested to reverse the reduction in AMPA receptors that is normally observed at synaptic sites in the lateral amygdala after fear learning 94. Clinically, DCS has been shown to be a valuable augmentation to behavioral therapies for a variety of anxiety-related disorders, including obsessive-compulsive disorder 117–121, 123, 124, however definitive trials specifically for PTSD treatment using DCS have yet to be completed. DCS is an example of a drug that enhances the extinction of fear in animals and humans, as well as enhancing behavioral therapy in individuals with anxiety disorders involving fear dysregulation.
mGluRs modulate synaptic plasticity in the brain and are critical for the consolidation of fear conditioning and extinction. While there have been mixed reports about the effect of mGluR agonists on fear conditioning, in general, mGluR antagonists and genetic deletion of mGluRs in the limbic regions of the brain appear to impair both consolidation and extinction of fear conditioning 125–130. Activation of mGluR1-containing receptors in the BLA is known to enhance fear learning 131.
Many other receptor-ligand systems play a modulatory role in Pavlovian fear conditioning and likely contribute to PTSD, mostly by modulating GABAergic and glutamatergic signaling (Table 1). Two retrograde signaling systems (involving nitric oxide and endocannibinoids as the retrograde messengers) have been shown to be important for presynaptically-regulated plasticity in consolidation and extinction, respectively 132–137. Noradrenergic signaling from the locus coeruleus 138–141, and dopaminergic projections to the amygdala from the ventral tegmental area (VTA) and nucleus accumbens 142–145 also play important roles in modulating synaptic plasticity and fear conditioning. These transmitter systems may provide additional potential molecular targets for the pharmacological augmentation of behavioral therapy for PTSD.
Table 1.
System | Function | Supporting Evidence |
---|---|---|
Norepinephrine (NE) | Consolidation | Enhanced with alpha1-adrenergic receptor antagonists 138 Impaired by siRNA for beta(1) adrenergic receptors 139 |
Extinction | Impaired by antagonizing NE receptors in the infralimbic cortex140, 141 | |
| ||
NOS-cGMP | Consolidation | Enhanced by PKG activation in the LA 133 Impaired contextual conditioning in nNOS KO mice 134 Impaired in cGMP mutant mice 135 Impaired by NOS and PKG inhibition in the LA136 |
| ||
Endocannabinoid | Consolidation | CB1 mRNA increases 48 hrs after fear conditioning 132 Enhanced by inverse agonist of CB1 in the CeA or BLA 132 Impaired by CB1 receptor agonist or AEA transport inhibition into the vmPFC132 |
Extinction | Impaired by pharmacological blockade or genetic deletion of CB1 receptors 137, 148 | |
| ||
Dopamine (DA) | Consolidation | Enhanced by D2 receptor agonists in the VTA142, 143 D2 receptor antagonists in the BLA impair fear potentiated startle 142 Impaired by D1 receptor loss (genetic KO or siRNA in hippocampus)144 |
Extinction | Impaired by systemic or intra-IL PFC infusion of D2 antagonist 145 | |
| ||
Acetylcholine (Ach) | Consolidation | Enhanced by nicotinic Ach (nACh) agonists in the hippocampus 149–151 Impaired by alpha7 nAch receptor antagonists152. |
Extinction | Impaired by nAch agonists 153 |
Abbreviations: CB1 (Cannabinoid Receptor type 1), PKG (cGMP-dependent protein kinase), NOS (Nitric Oxide Synthase), KO (Knock out), siRNA (Small Interfering RNA), IL (Infralimbic)
Conclusions
The molecular pathways discussed in this review are crucial for fear conditioning and extinction. Recent research has advanced our understanding of many of the downstream molecular mechanisms of these forms of learning. By understanding the genetics of PTSD we may eventually be better able to predict which individuals might be more susceptible to developing PTSD after trauma. In addition, knowing the molecular underpinnings of PTSD will provide important new insights into molecular targets for drug development. By generating drugs that modulate signaling pathways involved in fear conditioning and synaptic plasticity in the amgydala, we may be able to enhance extinction of inappropriate fear associations, or even prevent the development of fear associations in individuals more susceptible to PTSD. Research in this area shows great promise for potential new approaches to better understand the physiology of circuits mediating fear responses, as well as to potentially further the prevention and treatment of PTSD (Box 2). Given the rising numbers of traumatized civilians and veterans, in addition to our increasing understanding of the prevalence, comorbidity, and sequelae of PTSD, developing better preventions and treatments are vital.
Box 2. Outstanding Questions.
Individual Differences
Why are some individuals at risk for developing PTSD, but despite similar trauma, others appear to be resistant? Furthermore, as with many common diseases, PTSD will likely represent a final common pathway of a ‘broken brain’ at the intersection of trauma and biology. How many different ‘subtypes’ of PTSD might there be? Will our current syndromal nomenclature be predictive of these subtypes, or will future biomarkers provide new ways of dissecting this syndrome?
Resilience
Is the resilience that we define as lack of PTSD, despite severe trauma, simply the absence of PTSD symptoms (along with comorbid depression and substance abuse) or is resilience an orthogonal construct that is uniquely protective?
Genetic Risk
Up to 30–35% of risk for PTSD appears to be heritable 158. Similar to a number of other disorders, will this be made up of many common gene variants, which each contribute only a small percentage of risk, or will there be a larger number of rare variants which each contribute higher levels of risk?
Gene × Environment interaction
With sufficient trauma loading, almost anyone is susceptible to PTSD. Genes appear to differentially modulate the level of susceptibility at a given trauma level or trauma ‘dose’. How do the effects of childhood and adult trauma interact though neural circuitry with genes that contribute risk, and which may act in an additive fashion on this same circuitry?
Neural Circuitry of PTSD
The neural circuitry modulating fear, including the amygdala, PFC and hippocampal regions are conserved across mammals. This makes research on PTSD and other anxiety-related disorders more readily accessible to translation compared to many other mental disorders. Utilizing human dynamic and structural neuroimaging techniques combined with rodent and other laboratory model species, we can ask, how do these different regions which organize and modulate the emotion of fear work in concert?
Acknowledgments
Support was provided by the National Institutes of Health(MH071537, DA019624, and MH086189), the Burroughs Wellcome Fund, and the National Primate Research Center base grant #RR-00165. We would like to thank Jennifer L. Williams for help in design of the figures in this manuscript.
Glossary
- Classical Conditioning
Classical conditioning is a learning paradigm that pairs a neutral/conditioned stimulus (CS) with an unconditioned stimulus (US) that evokes a reflex or unconditioned response (UR) until the neutral stimulus evokes the same conditioned response (CR) in the absence of the US
- Contextual conditioning
a model of fear conditioning based solely on the context and not a discrete cue such as a light or a tone
- Extinction
The conditioning phenomenon in which a previously learned response to a cue is reduced when the cue is presented in the absence of a previously paired aversive or appetitive stimulus
- Pavlovian Fear Conditioning
Pavlovian fear conditioning is a version of classical conditioning, where the CS (eg. tone, light, odor) is paired with an aversive US (eg. foot-shock, air-blast) that evokes a CR (eg. freezing, acoustic startle response, autonomic arousal)
Footnotes
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