Abstract
Anxiety and depression are frequently observed in patients suffering from trigeminal neuralgia (TN), but neural circuits and mechanisms underlying this association are poorly understood. Here, we identified a dedicated neural circuit from the ventral hippocampus (vHPC) to the medial prefrontal cortex (mPFC) that mediates TN-related anxiodepression. We found that TN caused an increase in excitatory synaptic transmission from vHPCCaMK2A neurons to mPFC inhibitory neurons marked by the expression of corticotropin-releasing hormone (CRH). Activation of CRH+ neurons subsequently led to feed-forward inhibition of layer V pyramidal neurons in the mPFC via activation of the CRH receptor 1 (CRHR1). Inhibition of the vHPCCaMK2A-mPFCCRH circuit ameliorated TN-induced anxiodepression, whereas activating this pathway sufficiently produced anxiodepressive-like behaviors. Thus, our studies identified a neural pathway driving pain-related anxiodepression and a molecular target for treating pain-related psychiatric disorders.
The vHPCCaMK2A-mPFCCRH circuit and CRH-CRHR1 signaling are required for anxiodepressive-like consequences of trigeminal neuralgia.
INTRODUCTION
Mood disorders such as depression and anxiety are frequently observed in patients suffering from chronic pain, affecting quality of life and increasing the burden on health care services for patients (1). Among patients with chronic pain, the prevalence rates of major depression are reported to range from 18 to 85% (2, 3). In particular, this comorbidity may lead to a vicious cycle of pain and anxiodepression symptoms (4). Neuroimaging studies in humans and model animals of chronic pain have revealed changes in structural and functional connectivity of corticolimbic brain areas, including the medial prefrontal cortex (mPFC), orbitofrontal cortex, amygdala, and hippocampus (5–7). These nuclei are also relevant to neuropsychiatric disorders, such as anxiety and depression (8, 9). Emerging evidence has demonstrated that both ventral hippocampus (vHPC) and mPFC, as well as their connectivity, are necessary for a variety of behavioral challenges including fear (10), anxiety (11, 12), and pain (13, 14). However, it is unclear whether and how the network activity between the vHPC and the mPFC mediates and modulates the pain-related anxiodepressive-like emotions.
The vHPC projections to the mPFC have been identified (15) and have been reported to be implicated in the expression and extinction of emotional memories such as fear memory (16, 17). In terms of learning and memory, chronic pain can be viewed as a state of continuous learning and a persistence of the memory of pain, in which negative emotional associations are continuously established with daily pain episodes (18). It has been previously demonstrated that the anxiodepressive-like consequences of neuropathic pain evolve in a time-dependent manner (19, 20). Our recent study has also demonstrated that mechanical hypersensitivity occurs immediately following trigeminal neuralgia (TN), whereas anxiodepressive-like behaviors are observed 14 days (14d) later (21). The delayed development of anxiodepressive-like emotions may be attributed to the retrieval and consolidation of negative emotional memories related to pain episodes evoked by daily activities such as eating, drinking, and licking. Thus, we therefore postulate that the vHPC-mPFC projections may also be required for the development of anxiodepressive-like behaviors in TN mice.
Decreased activity of pyramidal output neurons in the mPFC has been implicated in the development of psychiatric disorders (22, 23). In this study, combining genetic and pharmacological approaches, we have now demonstrated that corticotropin-releasing hormone [CRH; also called corticotropin-releasing factor (CRF)] neurons, as a unique subtype of GABAergic inhibitory interneurons in the mPFC, directly receive excitatory projections from the vHPC and are required to drive chronic pain–induced anxiety and depression via feed-forward inhibition of the major output neurons in the mPFC. Our studies further suggested that the associated CRH–CRH receptor 1 (CRHR1) signaling could be a target for treating anxiodepressive consequences of chronic pain.
RESULTS
TN decreases activity of layer V mPFC pyramidal neurons in a time-dependent manner
We previously showed that TN mice exhibit obvious anxiodepressive-like behaviors by 14 days but not 4 day after chronic constriction injury of the infraorbital nerve (CION), indicating that anxiodepressive-like behaviors caused by neuropathic pain were time dependent (21). In this study, we investigated whether TN altered the excitability and synaptic transmission of mPFC neurons accompanying the anxiodepressive-like behaviors. As layer V provides the main integrated output of the mPFC (24), we recorded neural activity of layer V pyramidal neurons in mPFC slices from sham, CION-4d, and CION-14d mice (Fig. 1A). Action potentials (APs) were evoked by 10-pA step depolarizing current pulses ranging from 0 to 200 pA. The input-output curves appeared right-shifted with a more depolarized AP firing threshold and more hyperpolarized rest membrane potential (RMP) at day 14 but not day 4 after CION (Fig. 1, B to F), indicating that the intrinsic excitability of layer V pyramidal neurons was decreased following TN development in a time-dependent manner. We further recorded spontaneous excitatory postsynaptic currents (sEPSCs) and spontaneous inhibitory postsynaptic currents (sIPSCs) in mPFC layer V pyramidal neurons. CION induced a notable increase in amplitude and an increasing trend in frequency of sIPSCs, whereas sEPSCs remained unchanged, indicating an enhanced inhibitory synaptic transmission of layer V pyramidal neurons (Fig. 1, G to L). To determine whether the decrease in excitability of layer V pyramidal neurons in CION mice depends on enhanced inhibitory inputs, we examined the effect of blocking γ-aminobutyric acid type A (GABAA) receptors on the excitability of layer V mPFC pyramidal neurons. A leftward shift in input-output curves of APs was observed after bath perfusion of GABAA receptor inhibitor bicuculline (BIC; 10 μM; fig. S1), suggesting that the increase in inhibitory inputs contributes to the decrease in excitability of layer V pyramidal neurons in TN mice. Thus, the decrease in neuronal activity of layer V pyramidal neuron following TN may be due to both a decrease intrinsic excitability and an increase in inhibitory inputs.
Enhanced neuronal activity in the vHPC drives feed-forward inhibition of layer V pyramidal neurons
We next explored the presynaptic source that drove enhanced inhibitory inputs onto layer V pyramidal neurons in the mPFC. mPFC received inputs from various brain regions, including the vHPC whose plasticity has been implicated in psychiatric disorders (12, 25). We first verified projections from the vHPC to the mPFC by injecting adeno-associated virus (AAV)–calcium/calmodulin-dependent protein kinase II alpha (CaMK2A)–channelrodopsin-2 (ChR2) into the CA1 region of the vHPC (Fig. 2, A and B). Then, we labeled mPFC-projecting vHPC CaMK2A+ neurons by injecting AAV-retro-mCherry into the mPFC and recorded the neuronal activity of these presynaptic neurons in vHPC slices (Fig. 2C). Corresponding to the time window of decreased excitatory activity of layer V mPFC pyramidal neurons and the development of anxiodepressive-like behaviors, the changes of intrinsic excitability and membrane properties of mPFC-projecting vHPC neurons were also observed on day 14 but not day 4 after CION. The input-output curves of APs in vHPC CaMK2A+ neurons appeared left-shifted with a more hyperpolarized AP firing threshold and a more depolarized RMP at day 14 after CION (Fig. 2, D to H), indicating that the excitability of mPFC-projecting vHPC neurons was increased following TN development. We further used fiber photometry to measure anxiety state–induced changes in Ca2+ signals in vHPC CaMK2A+ neurons expressing the Ca2+ indicator green fluorescent protein fused to a calmodulin protein (GCaMP6s). Increased neuronal activity of vHPC CaMK2A+ neurons was observed when mice moved from the closed arm to the open arm in an elevated plus maze (EPM). The elevated Ca2+ activity in CION mice was greater than that of sham mice (Fig. 2, I to L). The sIPSCs and sEPSCs of vHPC CaMK2A+ neurons from sham and CION-14d mice were also recorded. CION-14d mice exhibited an increased amplitude of sEPSCs, further supporting that TN enhanced the excitability of vHPC CaMK2A+ neurons on day 14 (fig. S2).
To determine whether the decreased activity of layer V mPFC pyramidal neurons is attributed to the increased vHPC excitatory inputs (via more dominant feed-forward activation of inhibitory neurons, see below), we activated vHPC-mPFC projections and then measured the effect on the activity of layer V mPFC pyramidal neurons. Following optogenetic activation of vHPC CaMK2A+ presynaptic terminals in the mPFC, both optoactivated EPSC (oEPSC) and optoactivated IPSC (oIPSC) were recorded in mPFC layer V pyramidal neurons (Fig. 3, A and B). The oIPSC amplitude and ratio of oIPSC/oEPSC in CION-14d mice were significantly higher than that in the sham controls (Fig. 3, C and D), indicating that CION shifted excitatory-inhibitory (E-I) balance of vHPCCaMK2A-mPFC pathway toward inhibition in mPFC layer V pyramidal neurons. Consistent with increased inhibitory inputs, optogenetic activation of vHPC CaMK2A+ presynaptic terminals in the mPFC led to a rightward shift in the input-output curves of APs and significantly suppressed AP firing frequency of layer V pyramidal neurons evoked by ramp depolarizing current (Fig. 3, E to H). Bath perfusion of BIC (10 μM) blocked the effect of optogenetic activation of vHPC CaMK2A+ presynaptic terminals on AP firing (Fig. 3, I and J). To determine direct or indirect inputs from vHPC to mPFC, we additionally performed voltage-clamp recording from mPFC layer V pyramidal neurons, showing that both oEPSC and oIPSC were completely abolished by voltage-gated Na+ channel blocker tetrodotoxin (TTX; 1 μM), whereas only oEPSC, rather than oIPSC, could be rescued by voltage-gated K+ channel blocker 4-aminopyridine (4-AP; 100 μM) in the presence of TTX, under which voltage-sensitive Ca2+ channel can gain the ability to drive depolarization and glutamate release (Fig. 3K) (26), indicating that the oEPSCs but not oIPSCs were elicited by direct synaptic connections between vHPC CaMK2A+ neurons and mPFC layer V pyramidal neurons. Moreover, both oEPSC and oIPSC were completely eliminated by AMPA receptor antagonist 6-cyano-7-nitroquinoxaline-2,3-dione (CNQX; 10 μM; Fig. 3L). These results indicate that layer V mPFC pyramidal neurons receive direct excitatory inputs from vHPCCaMK2A neurons, but these inputs were dominantly inhibited via feed-forward activation of mPFC inhibitory interneurons, particularly under the TN condition (Fig. 3M).
Together with our previous study showing that TN mice developed anxiodepressive-like behaviors in 14 days but not 4 day after CION, we postulated that increased excitatory activity of vHPC CaMK2A+ neurons and the decreased excitatory activity of layer V mPFC pyramidal neurons on 14th day of CION may be associated with the development of anxiodepressive-like behaviors, and we subsequently conducted a series of studies to test this hypothesis (see below).
Anxiodepressive consequences of TN require vHPCCaMK2A-mPFCvGat projections
We next investigated the role of the vHPCCaMK2A-mPFC inputs in driving TN-associated anxiodepression. We injected the antegrade-tracing AAV2/1-hSyn-Cre virus into the vHPC and Cre-dependent AAV–double-floxed inverse orientation (DIO)–enhanced green fluorescent protein (EGFP) virus into the mPFC (Fig. 4A and fig. S3A), such that AAV2/1-Cre from transduced presynaptic neurons can effectively and specifically drive Cre-dependent transgene expression in selected postsynaptic neuronal targets (27). RNAscope fluorescence in situ hybridization (FISH) identified vGat-positive postsynaptic neurons in the mPFC, confirming the direct projections from the vHPC to mPFC GABAergic neurons (Fig. 4B). Moreover, c-Fos immunohistochemical staining showed that following optogenetic activation of vHPCCaMK2A-mPFC projection terminals, more than 40% of vGat-positive mPFC neurons were activated (fig. S3, B and C), suggesting a functional connection between vHPC excitatory outputs and mPFC inhibitory interneurons. To determine the effects of vHPC-mPFCGABA pathway on CION-induced anxiodepressive-like behaviors, we injected AAV2/1-hsyn-Cre into the vHPC and AAV2/9-Gad67-DIO-hM4Di into the mPFC to inhibit postsynaptic mPFC GABAergic inhibitory neurons receiving vHPC projections (Fig. 4, C and D, and fig. S3A). Intraperitoneal injection of CNO (5 mg/kg, 0.1 ml) was used specifically to inhibit hM4Di-expressing Gad67+ postsynaptic GABAergic neurons in the mPFC receiving vHPC projections. This silence of inhibitory neuron activity produced anti-anxiodepressive–like effects, as indicated by an increase in open arm entries and open arm staying time in the EPM test, as well as by an increase in center-traveling distance in the open field (OF) test, less immobile time in the tail suspension (TS) test, and more sucrose consumption in the sucrose preference (SP) test (Fig. 4, E to K). Notably, inhibition of vHPC-mPFC postsynaptic Gad67+ neurons has no effect on CION-induced mechanical hypersensitivity in the vibrissa pad (Fig. 4L). These results imply that the feed-forward inhibition mediated by mPFC GABAergic inhibitory neurons receiving projections from the vHPC may be specifically involved in CION-induced anxiodepressive-like behaviors.
To further confirm this conclusion, we also took an alternative optogenetic approach to inhibit vHPCCaMK2A-mPFC pathway. To do so, we performed intra-vHPC injection of AAV–encoding halorhodopsin (eNpHR)–enhanced yellow fluorescent protein (EYFP) virus driven by the CaMK2A promoter in CION mice (fig. S3D). Yellow light stimulation (583 nm, 10 mW, continuous) of the presynaptic terminals of vHPCCaMK2A neurons in the mPFC significantly alleviated TN-induced anxiodepressive-like behaviors (fig. S3, E to K). The anti-anxiodepressive effect of inhibiting vHPC-mPFC postsynaptic vGat+ neurons or vHPCCaMK2A-mPFC terminals could also be mimicked by optogenetic soma inhibition of vHPC CaMK2A+ neurons (fig. S4, A to G). Our previous study showed that inhibition of microglia in the ipsilateral but not the contralateral dorsal hippocampus (dHPC) blocked CION-induced anxiodepressive-like behaviors, suggesting an asymmetric role of dHPC (21). However, unlike manipulating dHPC microglia, there was no significant difference in the anti-anxiodepressive effects of silencing ipsilateral and contralateral vHPC CaMK2A+ neurons (fig. S4, A to G).
Considering that either inhibitory interneurons or excitatory pyramidal neurons receive direct excitatory inputs from vHPCCaMK2A neurons (as shown in Fig. 3M), we also examined the effects of vHPC-mPFC excitatory postsynaptic neurons on CION-induced anxiodepressive-like behaviors. RNAscope FISH and c-Fos immunohistochemical results showed a functional connection between vHPC excitatory outputs and mPFC excitatory neurons (fig. S5, A to D). Optogenetic inhibition of vHPC-mPFC CaMK2A+ excitatory postsynaptic neurons did not affect CION-induced anxiodepressive-like behaviors (fig. S5, E to K). Collectively, the above data indicate that vHPC excitatory outputs to mPFC inhibitory neurons are necessary for the manifestation of TN-induced anxiodepressive-like behaviors.
vHPC-mPFC postsynaptic CRH+ neurons mediate vHPC-driven feed-forward inhibition to layer V pyramidal neurons
We next investigated the identities of mPFC inhibitory neurons modulating anxiodepressive-like behaviors. A subset of GABAergic neurons, CRH-positive GABAergic neurons, have been identified in the mPFC (28, 29). Consistent with previous findings, RNAscope FISH revealed that approximately 23% of vGat mRNA-positive GABAergic neurons are colabeled with Crh mRNA-positive signals in the mPFC, and no colabeled signals of vGlut1+ and Crh+ were observed in the mPFC (Fig. 5A). This proportion was also confirmed in CRH-Cre::Ai14 mice (fig. S6A). To determine whether mPFC CRH+ neurons receive direct projections from vHPC neurons, we injected AAV2/1-hsyn-Flpo virus into the vHPC and Flp-dependent AAV2/9-hEF1α-fDIO-EYFP into the mPFC of CRH-Cre::Ai14 mice. We detected over 30% of tdTomato-labeled mPFC CRH+ neurons colocalized with EYFP (Fig. 5B), indicating that mPFC CRH+ neurons receive axonal projections from vHPC neurons. Furthermore, we injected AAV-CaMK2A-ChR2 into the vHPC of CRH-Cre::Ai14 mice and then performed opto-electrophysiological recording and tested whether optogenetic activation of vHPC CaMK2A+ presynaptic terminals in the mPFC is able to evoke EPSCs in mPFC CRH+ neurons (Fig. 5C). Patch clamp recording showed that, with blue light stimulation of the vHPCCaMK2A terminal in the mPFC, an oEPSC was evoked in 34 of 51 (66.7%) of recorded CRH+ neurons (Fig. 5D). The recorded oEPSCs could be completely blocked by TTX and rescued by TTX/4-AP, indicating that the oEPSCs were elicited by direct synaptic connections between vHPCCaMK2A and mPFCCRH neurons (Fig. 5E). Furthermore, optogenetic activation of vHPCCaMK2A terminals in the mPFC resulted in c-Fos expression in more than 60% of CRH-positive neurons, indicating a functional connection between vHPCCaMK2A and mPFCCRH neurons (fig. S6, B and C).
We next showed an increased excitatory input of the vHPCCaMK2A-mPFCCRH pathway in CION mice. Optogenetic activation of vHPC CaMK2A+ presynaptic terminals in the mPFC evoked a larger oEPSC in CRH+ neurons of CION mice; the amplitude of oEPSCs induced by different intensities of blue light stimulation was robustly greater in CION mice than that of sham mice on day 14 (Fig. 5F). To confirm the presynaptic effects, we recorded oEPSCs evoked by paired pulse light stimulation of vHPCCaMK2A terminals in mPFC slices. Within 50- to 150-ms intervals, paired-pulse ratios (PPRs) were reduced in CION mice as compared with controls (Fig. 5G). Because the PPR is inversely related to release probability, these results indicate that TN enhanced excitatory synaptic transmission from the vHPCCaMK2A to mPFCCRH by increasing presynaptic glutamate release. Furthermore, besides increased presynaptic inputs, CION also led to increased excitability of CRH+ neurons, as indicated by a leftward shift in the input-output curve of APs evoked by step depolarizing current with a more hyperpolarized firing threshold in CION mice (Fig. 5, H and I, and fig. S6, D to I). Bath perfusion of the AMPA receptor antagonist CNQX (10 μM) and N-methyl-d-aspartate receptor antagonist d,l-2-amino-5-phosphonovaleric acid (50 μM) in mPFC slices from CION mice, a rightward shift in the input-output curve of APs evoked by step depolarizing current was observed in CRH+ neurons (fig. S5, J and K), suggesting that the increase in excitatory inputs may be involved in the increase in excitability of CRH+ neurons in TN mice. Moreover, cell-attach recordings of mPFC CRH+ neurons showed that average spontaneous firing frequency was greatly increased after CION (Fig. 5J and fig. S6L).
We next investigated whether the vHPC-mPFCCRH projections provided the inhibitory inputs onto layer V pyramidal neurons of the mPFC. To do this, we used the Cre-Flpo double enzyme system to generate mPFC postsynaptic CRH+ neurons expressing ChR2 (Fig. 5K). Optogenetic activation of CRH+ neurons expressing ChR2 evoked oIPSCs in layer V pyramidal neurons in mPFC slices, which could be blocked with the GABAA receptor inhibitor BIC (Fig. 5L). The oIPSCs were also blocked by TTX and rescued by 4-AP, indicating that the CRH+ GABAergic neurons receiving vHPC projections mediated feed-forward inhibition to layer V pyramidal neurons (Fig. 5M).
vHPC-mPFC postsynaptic CRH+ neurons contribute to CION-induced anxiodepressive behaviors
To determine the role of vHPC-mPFCCRH projections in driving CION-induced anxiodepression, we used a Cre-enabled optogenetic inhibition system by injecting AAV2/1-FLEX-Flpo into the vHPC and Flp-dependent eNpHR (fDIO-eNpHR-EYFP) into the mPFC of CRH-Cre mice (Fig. 6A). By this way, we achieved selective inhibition of postsynaptic mPFC CRH+ neurons receiving vHPC projections by yellow light stimulation. We then found that inhibition of mPFC CRH+ neurons led to an attenuation of anti-anxiodepressive–like behaviors measured by the EPM, OF, and TS tests, without affecting mechanical hypersensitivity (Fig. 6, B to H). These results imply that the vHPC-mPFCCRH pathway contributes to CION-induced anxiodepressive-like behaviors. To further confirm this, we inhibited mPFC CRH+ neurons optogenetically with intra-mPFC injection of AAV-DIO-eNpHR-mCherry virus in CRH-Cre mice. The anti-anxiodepressive effect of inhibiting vHPC-mPFCCRH postsynaptic CRH+ neurons could be mimicked by optogenetic inhibition of mPFC CRH+ neurons per se (fig. S7). These data indicate that mPFC CRH+ neurons are necessary for the development of TN-induced anxiodepressive-like behaviors.
Considering CRH is coexpressed with vasoactive intestinal polypeptide (VIP) or somatostatin (SOM) but not parvalbumin in cortical neurons (28, 29), we also examined the effects of inhibiting the vHPC-mPFCVIP or vHPC-mPFCSOM pathway on CION-induced anxiodepressive-like behaviors. Similar to inhibition of the vHPC-mPFCGABA and vHPC-mPFCCRH pathways, optogenetic inhibition of the vHPC-mPFCVIP pathway, but not the vHPC-mPFCSOM pathway, significantly attenuated CION-induced anxiodepressive-like behaviors (fig. S8). Thus, the VIP-expressing subset of mPFC CRH+ neurons are crucial for TN to induce anxiodepressive-like behaviors.
CRH-CRHR1 signaling in the mPFC contributes to TN-induced anxiodepressive-like behaviors
We next examined whether the CRH-mediated signaling is crucial for driving anxiodepressive-like behaviors. We first observed an increase in Crh mRNA expression in mPFC vGat+ inhibitory neurons by RNAscope FISH on day 14 after CION (fig. S9A). We then found that for two CRH receptors, CRHR1 rather than CRHR2 is expressed prominently in the mPFC (fig. S9B), especially in excitatory pyramidal neurons of the mPFC layer V (fig. S9, C and D). We next tested whether the CRH-CRHR1 signaling was involved in driving TN-induced anxiodepression. First, gain-of-function studies showed that activation of CRHR1 via injection of the CRHR1 agonist stressin-1 (200 ng/0.2 μl) bilaterally into the mPFC of naïve mice was sufficient to drive typical anxiodepressive-like behaviors, as indicated by less open arm time in the EPM test, more immobile time in the TS test, and less sucrose consumption in the SP test (Fig. 7, A to D). Second, we conducted loss-of-function studies and found that intra-mPFC injection of CRHR1 antagonist NBI27914 significantly improved CION-induced anxiodepressive-like behaviors (Fig. 7, E to I). Moreover, we used the Cre-Flpo double enzyme system to enabled vHPC-mPFC postsynaptic CRH+ neurons expressing the Gq-coupled human muscarinic M3 designer (hM3D) receptor (Fig. 7, J and K). The efficacy of hM3Dq-mediated excitation was confirmed by patch clamp recordings in mPFC slices. AP firing was induced by CNO (500 nM) in mPFC CRH+ neurons expressing hM3Dq (Fig. 7L). Chemogenetic activation of mPFC CRH+ neurons receiving projections from the vHPC produced anxiodepressive-like behaviors, which could be blocked by the CRHR1 antagonist NBI27914 (Fig. 7, M to O).
Next, we determined whether activation of the CRHR1 signaling could modulate the activity of the layer V mPFC pyramidal neurons in response to the activation of mPFCCRH neurons. In response to bath perfusion of the CRHR1 antagonist NBI27914 (5 μM) in mPFC slices from CION mice, layer V mPFC pyramidal neurons showed increased excitability and decreased amplitude of sIPSCs (Fig. 8, A to G, and fig. S9, F to H). We also examined the effect of CRH on the activity of layer V mPFC pyramidal neurons in naive mice. It was known that CRH/CRHR1 mainly exert their physiological functions by activating G protein–coupled receptor–associated cell signaling cascades (30). Upon ligand activation, signals are mainly coupled by Gαs, leading to increase in cyclic adenosine 3′,5′-monophosphate (cAMP) and protein kinase A (PKA) (31). Thus, activation of CRHR1 generally promotes neuronal excitability. However, bath perfusion of CRF (200 nM) mimicked CION-induced deactivation of layer V mPFC pyramidal neurons, including reduced AP firing frequency, hyperpolarized RMP, and increased sIPSC amplitude (Fig. 8, H to N, and fig. S9, I to K). As a support, intra-mPFC injection of CRHR1 agonist stressin-1 (200 ng//0.2 μl) failed to increase c-Fos expression in layer V mPFC neurons (fig. S10, A and B). Furthermore, we examined the effect of blocking CRH-CRHR1 signaling on GABA-evoked currents in layer V mPFC pyramidal neurons. Puff application of GABA (100 μM) at 0 mV evoked an outward current, and application of CRF potentiated the GABA currents, which could be blocked by the CRHR1 antagonist NBI27914 (Fig. 8O). G protein inhibitor Guanosine-5'-O-(2-thiodiphosphate) trilithium salt [(GDP-β-S) 1 μM] in the intracellular solution completely prevented CRF-induced potentiation of the GABA current (Fig. 8P). In addition, oIPSCs of layer V pyramidal neurons evoked by optogenetic activating vHPC-mPFC postsynaptic CRH+ neurons were partially attenuated by the CRHR1 antagonist NBI27914 (Fig. 8Q). These results suggest that CRH-CRHR1 signaling may regulate the inhibitory synaptic transmission of layer V mPFC pyramidal neurons by enhancing the function of the postsynaptic GABAA receptor. Behaviorally, we observed the effect of blocking GABAA receptors on CRH-mediated anxiodepressive-like behaviors. Chemogenetic activation of mPFC CRH+ neurons receiving projections from the vHPC produced anxiodepressive-like behaviors, which could be blocked by the GABAA receptor antagonist BIC (3 ng/0.2 μl; fig. S10, C to H). These results suggest that both the CRH and GABA signaling in the mPFC contribute to CION-induced anxiodepression.
DISCUSSION
We identified a vHPCCaMK2A-mPFCCRH circuit involving the anxiodepressive consequences of neuropathic pain. The CRH-CRHR1 signaling operating within the vHPCCaMK2A-mPFCCRH circuit is required to induce anxidepressive-like consequences (Fig. 9).
Layer V pyramidal neurons provide the main integrated outputs of the mPFC (32), and persistent deactivation of layer V mPFC pyramidal neurons has been observed in rodent chronic pain models (33–36). Similarly, the activity of the dorsal lateral PFC (dlPFC) in humans (the homolog of rodent mPFC) is reduced in patients with persistent pain in rheumatoid arthritis (37) and ulcerative colitis (38). Stimulation of the dlPFC in humans and the mPFC in rats can effectively treat chronic pain and anxiodepressive behaviors (39, 40). In this study, we have now provided insight into the mechanisms leading to inactivation of layer V pyramidal neurons in mice with chronic TN. In TN mice, sustained trigeminal pain leads to enhanced activity of CaMK2A+ vHPC neurons, which in turn produced increased excitatory inputs to the CRH+ subset of GABAergic neurons in the mPFC, causing a feed-forward inhibition of layer V mPFC pyramidal neurons. Notably, this enhanced feed-forward inhibition occurs after 14 days of TN, coinciding with the time window of the development of anxiodepressive-like consequences (21). Consistently, inactivation and activation of the vHPCCaMK2A-mPFCCRH circuits can sufficiently suppress and produce anxiodepressive-like consequences in TN and naïve mice, respectively. However, a study from Zhou’s laboratory showed that inhibition or ablation of CRH neurons in the dorsal mPFC (dmPFC) facilitated social avoidance and depressive-like behaviors in a social defeat stress mouse model, while activation showed the opposite effect (29). This discrepancy implies the complexity of the CRH neuronal circuits and the specificity in etiology of depression. It has been implied that different etiologies of anxiety and depression (such as restraint stress and chronic pain) were encoded in different neurons and neural circuits (41, 42). Thus, it is reasonable that mPFCCRH neurons play different roles in different stress (social stress versus chronic pain) model animals. Alternatively, the discrepancy can be explained by the involvement of different mPFC subdivision in different behavioral functions. Subregions of the mPFC include the dorsal and ventral subdivisions, termed prelimbic (PL) and infralimbic (IL), respectively. Accumulating evidence has shown that PL and IL project very differently throughout the brain (43, 44) and play different or even opposite roles in certain behavioral regulation (22, 45). Because both PL-mPFCCRH and IL-mPFCCRH receiving projections from vHPCCaMK2A neurons, we manipulated CRH+ neurons in a broader region, including PL-mPFC and IL-mPFC. Differently, Chen et al.’s study (29) focused on dmPFC (PL-mPFC) subdivision, and their manipulation of CRH+ neurons was limited to the dmPFC.
As chronic pain progresses, daily life activity such as food chewing (in terms of the TN model) could become a conditioned stimulus predicting the presence of an unconditioned outcome: the pain experience. To survive, animals have to eat, and accordingly, exaggerate pain becomes inevitable experience. This may explain why anxiety and depression develop much faster for this pain model in comparison with limb neuropathic pain models, for example, spared nerve injury or sciatic nerve injury model (4, 20, 46), and why TN causes so much emotional suffering and depression in humans (47, 48). Previous studies demonstrated that vHPC excitatory neurons could regulate the activity of mPFC pyramidal neurons through GABAergic interneurons, gating fear extinction and relapse (10, 16). Extinction deficits have been considered a mechanism for the persistence of pain and pain-related negative emotion (18). This may explain the involvement of the vHPCCaMK2A-mPFCCRH circuit in driving anxiety and depression in TN mice, which might result from pain-related emotional learning (e.g., pain-related fear, anxiety, and aversion) from the unconditioned persistent presence of pain or pain episodes evoked by unavoidable daily activity (49–51).
In addition, we found that CRH itself contributes to the inactivation of layer V mPFC output neurons and TN-induced anxiodepression through CRHR1. CRH is a 41–amino acid peptide that functions as a neuromodulator in the brain, regulating several behavioral stress responses (30, 52, 53). Besides its well-known action on the hypothalamic-pituitary-adrenal axis, CRH also acts in other extrahypothalamic brain regions, such as mPFC, increasing anxiety-like responses and executive dysfunction induced by stress (31, 54). In postmortem levels, CRH immunoreactivity among depressed suicides is elevated in the PFC (55). In rodents, expression of Crh mRNA in the mPFC significantly increases after restraint stress (54, 56). We observed that TN, as an unavoidable physical stress, also up-regulated Crh mRNA in mouse mPFC. Activation of CRHR1 in the mPFC directly produced anxiodepressive-like behaviors in naive mice. Blockade of CRHR1 in the mPFC significantly improved anxiodepressive-like behaviors caused by either TN or direct activation of vHPC-mPFCCRH pathway. In particular, TN-induced inactivation of layer V mPFC pyramidal neurons was reversed by CRHR1 antagonist. These data suggest that endogenous CRH in the mPFC is required by anxiodepressive-like consequences of TN. We further showed that extracellular application of CRF in the mPFC mimicked TN-induced inactivation of layer V pyramidal neurons and anxiodepressive-like behaviors. Together, our results imply that both CRH+ inhibitory neurons and their released CRF play crucial important roles in inactivating layer V mPFC output neurons and mediating anxiodepressive-like effect.
As mentioned above, CRH/CRHR1 signals are mainly coupled by Gαs, leading to neuronal excitability via increase in cAMP and PKA. However, our results showed that extracellular application of CRF inhibited neuronal excitability of layer V mPFC pyramidal neurons. One possible explanation is increased CRHR1 in GABAergic inhibitory neurons, which enhances the inhibitory input of layer V pyramidal neurons. What does not support this explanation is that our present results showed very few Crhr1 mRNA in mPFC vGat-positive inhibitory neurons, with the vast majority in vGlut1-positive excitatory neurons. Alternatively, CRF may up-regulate the function of GABA receptors expressed in layer V pyramidal neurons through activating CRHR1-Gs-PKA signaling cascades. We showed that CRF enhanced postsynaptic GABA currents of layer V mPFC pyramidal neurons; and this effect was prevented by pretreatment with CRHR1 antagonist or G protein inhibitor GDP-β-S. CRHR1 antagonist also suppressed sIPSC amplitude but not frequency of layer V mPFC pyramidal neurons in TN mice, suggesting a postsynaptic effect. Evidence that CRH augments GABAergic transmission through a postsynaptic action was also observed in the central amygdala (57) and bed nucleus of the stria terminalis (58). Moreover, in our observation, CRHR1 agonist did not increase c-Fos expression in mPFC neurons, implying the functional regulation of GABAA receptors by CRHR1. Also, blocked of GABAA receptors can prevent anxiodepressive-like behaviors caused by activation of vHPC-mPFCCRH pathway.
It is worth mentioning that our previous study showed that microglia and neuroinflammation in the ipsilateral but not the contralateral dHPC were involved in CION-induced anxiodepressive-like behaviors, suggesting an asymmetric role of dHPC (21). However, we did not find any difference in the anti-anxiodepressive effects produced by silent ipsilateral and contralateral vHPC neurons. As we know that the hippocampus is a heterogeneous structure with gradually segregated functional differences along the dorsal-ventral axis (59). The dHPC and vHPC exhibit different gene expression and have different connectivity with other cortical and subcortical structures (60–62), which leads to functional differences and often leads to opposite reactions to the same stimulus. For example, contrary to the present results of TN enhancing the excitability of vPHC excitatory neurons, chronic pain has been reported to reduce the excitability of dHPC pyramidal neurons and glutamate level in rodents (63, 64). In addition, the activation of microglia and changes in neuronal activity induced by CION may also have quite different mechanisms. Thus, it is understandable that there is a difference in the laterality of the dHPC and vHPC.
Overall, we showed that inhibition of the vHPCCaMK2A-mPFCCRH pathway or blockade of CRH-CRHR1 signaling in the mPFC effectively alleviated TN-induced anxiodepressive-like behaviors. Our studies will therefore help to develop therapeutic approaches for chronic pain–related anxiety and depression.
MATERIALS AND METHODS
Animals
Adult C57BL/6J mice (8 to 12 weeks old, 20 to 25 g; Shanghai Experimental Animal Center of Chinese Academy of Science) and transgenic strains CRH-ires-Cre (JAX#012704), Vip-ires-Cre (JAX#010908), SOM-ires-Cre (JAX#028864), Ai14 (JAX#007914), and R26R-EYFP (JAX#006148) were used in this study. All mice were maintained under standard housing conditions in a temperature (22° ± 1°C) and humidity controlled room with a 12-hour/12-hour light-dark cycle and food and water ad libitum. All experiments were approved by the Experimental Animal Ethics Committee of Shanghai Medical College and the Committee on the Use of Animal Experiments of Fudan University (permit SYXK2009-0082). The body weight and sex of animals were assigned to different treatment groups randomly. Behavioral testing, electrophysiological recording, and quantification of immunohistochemistry/FISH experiments were performed by researchers blinded to the treatments.
Chronic CION
The TN mouse model was established by chronic CION via an intraoral approach as described previously (65). Briefly, mice were anesthetized with sodium pentobarbital (50 mg/kg) by intraperitoneal injection, and the left infraorbital nerve was exposed proximal to the first molar along the left gingivocuccal margin. One ligature with 4-0 polyglycolic-co-lactic acid was tied loosely around the nerve. Sham-operated mice received nerve exposure without ligation. All surgical procedures were performed aseptically.
Virus stereotactic injection
Under sodium pentobarbital anesthesia, mice were fixed on a mouse stereotaxic apparatus (51725D, Stoelting, USA), and the skull plane was adjusted to ensure that the bregma and lambda were at a horizontal level. A small craniotomy hole was made using a dental drill, and a heating pad was used to maintain the body temperature at 37°C during anesthesia. A volume of 200 to 300 nl of virus (depending on the expression strength and viral titer) was injected through a glass microelectrode connected to a microinjection pump (Nanoliter 2010 injector, World Precision Instruments Inc., USA) at a rate of 30 nl/min. The stereotaxic coordinates for the vHPC were 3.2 mm anteroposterior (AP), ±3.7 mm mediolateral (ML), and −3.5 mm dorsoventral (DV); coordinates for the mPFC were +1.75 mm AP, ±0.4 mm ML, and −2.45 mm DV. At the end of the infusion, the glass pipette remained in the injection place for 10 min to avoid virus overflow. AAV details are shown in table S1. AAV expression was permitted for at least 3 weeks before the experiments; mice with off-target mCherry or EGFP localization were excluded from the analysis.
Cannula infusion
Mice were anesthetized with sodium pentobarbital and a stainless steel guide cannula (62028, RWD Life Science, Shenzhen, China) with a stainless steel stylet plug (62128, RWD) was implanted above the injection site in the mPFC. Dental cement and biocompatible adhesive were used to fix the cannula. Mice were allowed to recover for 1 week before behavior tests. Microinjection was performed through an injector cannula (62228, RWD), which protrudes 1.3 mm beyond the guide cannula to reach the site of mPFC. CRHR1 antagonist NBI27914 was dissolved in sesame oil (in vivo) or ethanol (in vitro). CRF, CRHR1 agonist stressin-1, and GABAA antagonist BIC were dissolved in normal saline. The chemical details are shown in table S1. A total of 200 nl of vehicle or drugs was injected per side at the rate of 100 nl/min. The injector cannula was held for 2 min before withdrawal to minimize drug spread along the injection track. Behavior tests were conducted after 30 min.
Behavior assessment
von Frey test
Mice were handled and habituated in the experimenter’s hand for 10 min, for at least 3 days before testing. Mechanical sensitivity was determined using a series of von Frey filaments with increasing forces (0.02 to 2 g) applied to skin within the infraorbital territory, near the center of the vibrissa pads. A brisk or active withdrawal of the head from the filament was considered a response. Each filament was applied 10 times at 10-s intervals, and the lowest force in grams that evoked a positive withdrawal response in >50% of the 10 consecutive stimuli was defined as the withdrawal threshold.
Open field
The open field test consisted of an open box (length by width by height: 40 cm by 40 cm by 30 cm) and a data acquisition and analysis system. The observation area was divided into the angle zone (10 cm by 10 cm at the four corners) and the center of the area (20 cm by 20 cm). Mice were gently placed into the center of the arena at the beginning and allowed to explore freely for 5 min. Movement of the animals was recorded with a digital camera over the chamber. Video tracking software (Ethovision XT v11.5, Noldus BV) was used to analyze the distance traveled and time spent in each area.
Elevated plus maze
The EPM device consisted of two closed arms (length by width: 30 cm by 6 cm), two open arms (length by width: 30 cm by 6 cm) and a central platform (length by width: 6 cm by 6 cm) elevated 50 cm above the floor. The two closed arms were enclosed with 20-cm-high walls crossing with two open arms. Mice were gently placed in the central platform of the maze facing an open arm and were allowed to explore freely for 5 min. Movement of the animals in the maze was recorded with a digital camera over the maze. Both open/closed arm entries and open arm time were analyzed with video tracking software (Ethovision XT v11.5, Noldus BV).
Tail suspension
The TS box was made of polyethylene with the dimensions 30 cm by 30 cm by 30 cm. The mice were suspended in the middle of the box with the tape at 0.1 cm proximal to the tail tip, and the distance between the mouse’s nose and the box floor was approximately 2 cm in the rest state. Mice activity was recorded with a digital camera for 6 min, and the immobility time in the last 4 min was counted.
Sucrose preference
The SP test was conducted as described previously (Sheng HY, JCI insight, 2020). The experimental procedure consisted of 6 days. On days 1 to 3 (from 17:00 on the first day to 17:00 on the third day), the mice were kept in a home cage with two bottles, one containing regular water and the other containing 1% fresh sucrose solution, to adapt for 48 hours. On days 3 to 4 (from 17:00 on the third day to 17:00 on the fourth day), the mice were placed in a black polyethylene apparatus (length by width by height: 50 cm by 24 cm by 13 cm) with a transparent polyethylene cover to adapt to the SP test apparatus for 24 hours. Each mouse was provided with two tubes (1% sucrose solution and regular water) in each chamber. On days 4 to 5, baseline measurements were determined for 12 hours (from 21:00 on the fourth day to 9:00 on the fifth day) in the SP test apparatus. After the baseline test, mice were deprived of food and water for 12 hours (from 9:00 to 21:00 on the fifth day) in home cages and then moved to the SP test apparatus for 12 hours (from 21:00 on the fifth day to 9:00 on the sixth day) to measure the SP rate. During this experiment, positions of the water and sucrose were changed every day. The SP rate was determined as follows: (sucrose consumption/total consumption) × 100%.
Optogenetic manipulation
Two weeks after injection of optogenetic viruses, optical fibers (Ø200-μm core, 0.37 numerical aperture; Newdoon Technology Co. Ltd., Hangzhou, China) were implanted 0.2 mm above the virus injection site under anesthesia. Mice were allowed to recover for 1 week. Before optogenetic stimulation, the laser source was adjusted to the proper intensity and connected to the implanted optical fiber through a fiber cable. The EPM, OF, and TS tests were performed with yellow light stimulation (538 nm, 10 mW, continuous). In SP test, light stimulation was applied for 10 min before the test.
Chemogenetic manipulation
For chemogenetic inhibition, the designed CNO (5 mg/kg in 0.1 ml, ip) was administered 30 min before behavioral tests. For chemogenetic activation, CNO (3 mg/kg, ip) was injected 30 min before behavioral tests. For pharmacological and chemogenetic manipulation, CNO (3 mg/kg, ip) was injected immediately after NBI27914 (500 ng) or BIC (3 ng) intracerebral injection.
Slice preparation and electrophysiological recording
Mice were deeply anesthetized and transcardially perfused with ice-cold cutting solution containing 92 mM N-methyl-d-glucamine, 2.5 mM KCl, 1.2 mM NaH2PO4, 20 mM Hepes, 30 mM NaHCO3, 25 mM glucose, 5 mM Na ascorbate, 3 mM Na pyruvate, 2 mM thiourea, 10 mM MgSO4, and 0.5 mM CaCl2 (pH 7.3, 300 to 310 mOsm/liter). The brains were immediately removed and submerged in preoxygenated (95% O2, 5% CO2, v/v) cold cutting solution. Slices (300 μm) containing the vHPC or mPFC were cut using a vibrating microtome (VT1200S, Leica, Germany) and transferred to an oxygenated chamber filled with recording artificial cerebrospinal fluid (recording ACSF) containing 119 mM NaCl, 2.3 mM KCl, 1 mM NaH2PO4, 26.2 mM NaHCO3, 12 mM glucose, 1.3 mM MgSO4, and 2.5 mM CaCl2 (pH 7.3 when carbogenated with 95% O2 and 5% CO2, 300 to 310 mOsm/liter) for 30 min at 32°C. The incubated brain slices were transferred to the recording chamber and continuously perfused with circulated well-oxygenated ACSF at a rate of 2 to 3 ml/min at room temperature. A charge-coupled device imaging system was used to find the vHPC CA1 area or mPFC using the IR-DIC mode with a low-power lens (×10) in an Olympus BX51WI upright microscope; a high-power lens (×60) was used to find the target neurons.
Whole-cell patch clamp recordings were performed with Axon 700B amplifier with a Digidata 1550B digitizer (Molecular Devices, USA). Patch pipettes (3 to 8 megohm) were made of borosilicate glass on a micropipette puller (P-1000, Sutter Instruments, Novato, CA, USA). The signals were low-pass–filtered at 2 kHz, digitized at 10 kHz, and analyzed with Clampfit 10.6 software (Molecular Devices). If the series resistance changed more than 20% during the recording, the recording was terminated. The current-evoked APs were recorded in current-clamp mode (I = 0 pA) and injected current steps from −50 to 200 pA in 10-pA steps. The electrodes were filled with K-gluconate internal solution containing 125 mM K-gluconate, 15 mM KCl, 0.5 mM EGTA, 10 mM Hepes, 10 mM phosphocreatine, 2 mM Mg–adenosine triphosphate (ATP), and 0.5 mM Na–guanosine triphosphate (GTP) (pH 7.3, 290 to 300 mOsm/liter).
The spontaneous firing activity was recorded in the cell-attached voltage-clamp mode. The pipette was filled with recording ACSF. The liquid junction potential was approximately zero. While approaching the neuron, positive pressure was applied to the patch electrode. By applying slight suction to the electrode, a seal (10 to 100 megohm) was created between the cell membrane and the recording pipette. Spontaneous firing activity was then recorded for 10 min and analyzed 5 min after stabilization.
For sEPSC and sIPSC recordings, electrodes were filled with Cs-methanesulfonate internal solution containing 127.5 mM Cs-methanesulfonate, 7.5 mM CsCl, 2.5 mM MgCl2·6H2O, 0.6 mM EGTA, 10 mM Hepes, 10 mM phosphocreatine, 4 mM Na-ATP, and 0.4 mM Na-GTP (pH 7.3, 290 to 300 mOsm/liter). After establishing the whole-cell configuration, neurons were held at −70 and 0 mV to record sEPSCs and sIPSCs, respectively. Bath application of AMPA receptor blocker CNQX (10 μM) or GABAA receptor blocker BIC (10 μM) blocked the sEPSCs or sIPSCs, respectively. Continuous bath perfusion of drugs or ACSF (control) is performed during the recording. Different slices from the same animal were randomly assigned to control and drug-treated groups. In general, one to two cells were recorded in each slice of the drug-treated group. Data were sampled at 10 kHz, filtered at 2 kHz, and analyzed with the Mini Analysis Program (Synaptosoft).
For light-evoked excitatory postsynaptic currents (oEPSCs) and inhibitory postsynaptic currents (oIPSCs) recordings, optical stimulation (470 nm, light intensity 1 to 15 mW, 10 ms) was delivered by a light-emitting diode (LED; X-cite 110, USA), which was connected to the programmable pulse stimulator (Master-9, A.M.P. Instruments, Israel). oEPSCs or oIPSCs were recorded in voltage clamp mode (holding potential, −70 mV for oEPSCs and 0 mV for oIPSCs) with Cs-methanesulfonate internal solution. To record vHPCCaMK2A-mPFCCRH synaptic transmission, light was delivered to vHPCCaMK2A-positive terminals expressing ChR2 in the mPFC of CRH-Cre::Ai14 mice. To analyze the PPR, paired optical stimuli (470 nm, 5 mW, 10 ms, interpulse 50, 75, 100, and 150 ms) were applied, and the oEPSC2/oEPSC1 ratio was calculated. To record the synaptic transmission between mPFC CRH+ neurons and layer V mPFC pyramidal neurons, light was delivered to mPFC CRH+ neurons expressing ChR2 of CRH-Cre mice. To test whether the postsynaptic currents recorded in mPFC neurons were elicited by direct synaptic connections, 1 μM TTX and 100 μM 4-AP were added to ACSF. To obtain the GABA currents, the membrane potential was held at 0 mV, puffing GABA (100 μM) for 3 s.
Fiber photometry
AAV-CaMK2A-GCaMP6s virus was injected into the vHPC as described above, and optical fiber (Ø200-μm core) was implanted after 3 weeks. In vivo recording of vHPC Ca2+ activity was conducted after 1 week using a fiber photometry system (FPS-MC-LED, Thinker Tech). For assessment of vHPC neuronal activity in response to EPM exposure, mice were placed in the EPM, and movement of mice in the EPM and the Ca2+ signal of vHPC neurons were recorded simultaneously. Calcium-dependent fluorescent signals were recorded in GCaMP6s-expressing vHPC neurons using a 470-nm laser. The laser power at the tip of the optical fiber was adjusted to 30 μW to decrease laser bleaching. The moment when the mouse entered the open arm from the closed arm was defined as onset of the event. The baseline was the average Ca2+ transient 2 s before onset of the event. Z score (ΔF/σF) of the fluorescence change and area under the curve of changes in transient Ca2+ corresponding to events were analyzed. The heatmap and averaged Ca2+ traces were plotted using a MATLAB tool package.
Immunohistochemistry
Mice were deeply anesthetized and transcardially perfused with 0.9% saline followed by precold 4% paraformaldehyde (PFA) in 0.1 M phosphate buffer (PB) (pH 7.4). The brain was removed, postfixed in 4% PFA for an additional 4 to 8 hours at 4°C, and dehydrated with a sucrose gradient (10 to 30%) in PB at 4°C. Fixed frozen tissues were sectioned (30 μm) on a cryostat microtome (CM 1950, Leica, Germany). Sections were blocked with 10% normal donkey serum with 0.3% Triton X-100 in 0.01 M phosphate-buffered saline (PBS) for 2 hours at room temperature and incubated overnight at 4°C with chicken anti-GFP (1:1000, Aves labs), rabbit anti–red fluorescent protein (1:1000, Rockland), and rabbit anti c-Fos (1:2000, abcam) primary antibodies. After rinsing with PBS, sections were then incubated for 2 hours at room temperature with corresponding Alexa Fluor 488/546/647–conjugated secondary antibodies (1:500, Invitrogen) or 4′,6-diamidino-2-phenylindole (1:10,000, Invitrogen). The antibody details are shown in table S1. The stained sections were observed and analyzed with a confocal laser-scanning microscope (FV1000, Olympus, Japan).
Fluorescence in situ hybridization
FISH was performed using the RNAscope system [Advanced Cell Diagnostics (ACD)] according to the manufacturer’s instructions. Sections were pretreated with hydrogen peroxide, target retrieval reagents, and protease III and then treated for 2 hours with targeted mRNA probes: vGlut1 (ACDBio, 416631), vGat (ACDBio, 319191), Crh (ACDBio, 316091), Crhr1 (ACDBio, 418011), and Crhr2 (ACDBio, 423201), followed by AMP1, AMP2, and AMP3 successively for 15 to 30 min. The sections were further incubated in horseradish peroxidase-channel1/2/3 (HRP-C1/2/3) for 15 min and Opal 520/570/690 (1:1500, PerkinElmer) for 30 min to fluorescently label the probe. Finally, HRP blocker was added for 15 min after fluorescent labeling of each channel. All hybridization and incubation steps were performed at 40°C in the hybridization oven; moisture was maintained with the use of a wet box. Immunohistochemical staining was continued after these procedures.
Quantification of c-Fos immunostaining
To quantify the influence of activation of the vHPC-mPFC pathway on c-Fos expression in mPFC vGat+ and CRH+ neurons, eight vGat-Cre and eight CRH-Cre::R26R-EYFP mice were divided into two groups. vGat-Cre mice received mPFC injection of DIO-mCherry and vHPC injection of AAV-CaMK2A-ChR2 (n = 4) or AAV-CaMK2A-EYFP (n = 4); CRH-Cre::R26R-EYFP mice received vHPC injection of AAV-CaMK2A-ChR2 (n = 4) or AAV-CaMK2A-mCherry (n = 4). An optical fiber was implanted in the mPFC. Before transcardiac perfusion, each mouse was placed in the test environment alone for at least 3 hours to eliminate background signal. Then, blue light stimulation (473 nm, 5 mW, 10 ms, 20 Hz for 10 min) was delivered. After 90 min, the mice were anesthetized and perfused, and c-Fos immunohistochemistry staining was performed. In each mouse, the number of vGat-mCherry– or CRH-EYFP–labeled cells and c-Fos/vGat-mCherry or c-Fos/CRH-EYFP double-labeled cells was counted from four to six randomly selected equivalent areas of the mPFC. The percentage of c-Fos/vGat-mCherry or c-Fos/CRH-EYFP double-labeled mPFC cells in vGat-mCherry– or CRH-EYFP–labeled cells was calculated for four animals in each group.
Statistical analysis
Data are presented as mean ± SEM. Data from different groups were verified for normality and homogeneity of variance using Shapiro-Wilk and Brown-Forsythe tests before analysis, where no data were transformed. No data were excluded from statistical analysis due to outlier status. Electrophysiological recording, FISH signals, and behavioral data were analyzed using the paired t test, Student’s t test, or Mann-Whitney U test (nonparametric data) when comparing two groups or one-way analysis of variance (ANOVA) followed by post hoc Sidak or Dunn’s test or two-way ANOVA followed by post hoc Sidak test or Kruskal-Wallis H test (nonparametric data) when comparing more than two groups. All analyses were two-tailed, and a P value less than 0.05 (P < 0.05) was considered statistically significant. Statistical analyses were performed using GraphPad Prism 8.0 software.
Acknowledgments
We thank Q. Ma (Westlake University) for critical reading and suggesting on the manuscript. We thank M. He (Fudan University) for giving VIP-Cre mice.
Funding: This work was supported by Science and Technology Innovation (STI) 2030-Major Projects (2021ZD0203200-05), National Natural Science Foundation of China (82130032, 31930042, and 82021002), Shanghai Municipal Science and Technology Major Project (no. 2018SHZDZX01), and ZJLab and Shanghai Center for Brain Science and Brain-Inspired Technology.
Author contributions: Conceptualization: Y-.Q.Z. and S.-S.L. Methodology: S.-S.L., G.-H.W., Y.-Q.C., N.L., and Y-.Q.Z. Investigation: S.-S.L., X.-J.L., Y.-Q.C., X.-Y.H., Z.-Z.Z., and L.-Q.C. Visualization: S.-S.L., X.-J.L., Y.-Q.C., and G.-H.W. Supervision: Y-.Q.Z. Writing—original draft: S.-S.L. and Y-.Q.Z. Writing—review and editing: S.-S.L. and Y-.Q.Z.
Competing interests: The authors declare that they have no competing interests.
Data and materials availability: All data needed to evaluate the conclusions in the paper are present in the paper and/or the Supplementary Materials.
Supplementary Materials
This PDF file includes:
Other Supplementary Material for this manuscript includes the following:
REFERENCES AND NOTES
- 1.Stubbs B., Vancampfort D., Veronese N., Thompson T., Fornaro M., Schofield P., Solmi M., Mugisha J., Carvalho A. F., Koyanagi A., Depression and pain: Primary data and meta-analysis among 237 952 people across 47 low- and middle-income countries. Psychol. Med. 47, 2906–2917 (2017). [DOI] [PubMed] [Google Scholar]
- 2.Bair M. J., Robinson R. L., Katon W., Kroenke K., Depression and pain comorbidity: A literature review. Arch. Intern. Med. 163, 2433–2445 (2003). [DOI] [PubMed] [Google Scholar]
- 3.Llorca-Torralba M., Camarena-Delgado C., Suarez-Pereira I., Bravo L., Mariscal P., Garcia-Partida J. A., Lopez-Martin C., Wei H., Pertovaara A., Mico J. A., Berrocoso E., Pain and depression comorbidity causes asymmetric plasticity in the locus coeruleus neurons. Brain 145, 154–167 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Zhou W., Jin Y., Meng Q., Zhu X., Bai T., Tian Y., Mao Y., Wang L., Xie W., Zhong H., Zhang N., Luo M. H., Tao W., Wang H., Li J., Li J., Qiu B. S., Zhou J. N., Li X., Xu H., Wang K., Zhang X., Liu Y., Richter-Levin G., Xu L., Zhang Z., A neural circuit for comorbid depressive symptoms in chronic pain. Nat. Neurosci. 22, 1649–1658 (2019). [DOI] [PubMed] [Google Scholar]
- 5.Saab C. Y., Pain-related changes in the brain: Diagnostic and therapeutic potentials. Trends Neurosci. 35, 629–637 (2012). [DOI] [PubMed] [Google Scholar]
- 6.Bagot R. C., Parise E. M., Pena C. J., Zhang H. X., Maze I., Chaudhury D., Persaud B., Cachope R., Bolanos-Guzman C. A., Cheer J. F., Deisseroth K., Han M. H., Nestler E. J., Ventral hippocampal afferents to the nucleus accumbens regulate susceptibility to depression. Nat. Commun. 6, 7062 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Vachon-Presseau E., Tetreault P., Petre B., Huang L., Berger S. E., Torbey S., Baria A. T., Mansour A. R., Hashmi J. A., Griffith J. W., Comasco E., Schnitzer T. J., Baliki M. N., Apkarian A. V., Corticolimbic anatomical characteristics predetermine risk for chronic pain. Brain 139, 1958–1970 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Cheng W., Rolls E. T., Qiu J., Xie X., Wei D., Huang C. C., Yang A. C., Tsai S. J., Li Q., Meng J., Lin C. P., Xie P., Feng J., Increased functional connectivity of the posterior cingulate cortex with the lateral orbitofrontal cortex in depression. Transl. Psychiatry 8, 90 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Belleau E. L., Treadway M. T., Pizzagalli D. A., The impact of stress and major depressive disorder on hippocampal and medial prefrontal cortex morphology. Biol. Psychiatry 85, 443–453 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Sotres-Bayon F., Sierra-Mercado D., Pardilla-Delgado E., Quirk G. J., Gating of fear in prelimbic cortex by hippocampal and amygdala inputs. Neuron 76, 804–812 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Adhikari A., Topiwala M. A., Gordon J. A., Synchronized activity between the ventral hippocampus and the medial prefrontal cortex during anxiety. Neuron 65, 257–269 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Padilla-Coreano N., Bolkan S. S., Pierce G. M., Blackman D. R., Hardin W. D., Garcia-Garcia A. L., Spellman T. J., Gordon J. A., Direct ventral hippocampal-prefrontal input is required for anxiety-related neural activity and behavior. Neuron 89, 857–866 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Ma L., Yue L., Zhang Y., Wang Y., Han B., Cui S., Liu F. Y., Wan Y., Yi M., Spontaneous pain disrupts ventral hippocampal CA1-Infralimbic cortex connectivity and modulates pain progression in rats with peripheral inflammation. Cell Rep. 29, 1579–1593.e6 (2019). [DOI] [PubMed] [Google Scholar]
- 14.Kelly C. J., Martina M., Circuit-selective properties of glutamatergic inputs to the rat prelimbic cortex and their alterations in neuropathic pain. Brain Struct. Funct. 223, 2627–2639 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Phillips M. L., Robinson H. A., Pozzo-Miller L., Ventral hippocampal projections to the medial prefrontal cortex regulate social memory. eLife 8, e44182 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Marek R., Jin J., Goode T. D., Giustino T. F., Wang Q., Acca G. M., Holehonnur R., Ploski J. E., Fitzgerald P. J., Lynagh T., Lynch J. W., Maren S., Sah P., Hippocampus-driven feed-forward inhibition of the prefrontal cortex mediates relapse of extinguished fear. Nat. Neurosci. 21, 384–392 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Wang Q., Wang Q., Song X. L., Jiang Q., Wu Y. J., Li Y., Yuan T. F., Zhang S., Xu N. J., Zhu M. X., Li W. G., Xu T. L., Fear extinction requires ASIC1a-dependent regulation of hippocampal-prefrontal correlates. Sci. Adv. 4, eaau3075 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Apkarian A. V., Baliki M. N., Geha P. Y., Towards a theory of chronic pain. Prog. Neurobiol. 87, 81–97 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Yalcin I., Bohren Y., Waltisperger E., Sage-Ciocca D., Yin J. C., Freund-Mercier M. J., Barrot M., A time-dependent history of mood disorders in a murine model of neuropathic pain. Biol. Psychiatry 70, 946–953 (2011). [DOI] [PubMed] [Google Scholar]
- 20.Sellmeijer J., Mathis V., Hugel S., Li X. H., Song Q., Chen Q. Y., Barthas F., Lutz P. E., Karatas M., Luthi A., Veinante P., Aertsen A., Barrot M., Zhuo M., Yalcin I., Hyperactivity of anterior cingulate cortex areas 24a/24b drives chronic pain-induced anxiodepressive-like consequences. J. Neurosci. 38, 3102–3115 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Chen L. Q., Lv X. J., Guo Q. H., Lv S. S., Lv N., Xu W. D., Yu J., Zhang Y. Q., Asymmetric activation of microglia in the hippocampus drives anxiodepressive consequences of trigeminal neuralgia in rodents. Br. J. Pharmacol. 180, 1090–1113 (2023). [DOI] [PubMed] [Google Scholar]
- 22.Fuchikami M., Thomas A., Liu R., Wohleb E. S., Land B. B., DiLeone R. J., Aghajanian G. K., Duman R. S., Optogenetic stimulation of infralimbic PFC reproduces ketamine's rapid and sustained antidepressant actions. Proc. Natl. Acad. Sci. U.S.A. 112, 8106–8111 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Page C. E., Coutellier L., Prefrontal excitatory/inhibitory balance in stress and emotional disorders: Evidence for over-inhibition. Neurosci. Biobehav. Rev. 105, 39–51 (2019). [DOI] [PubMed] [Google Scholar]
- 24.Kelly C. J., Huang M., Meltzer H., Martina M., Reduced glutamatergic currents and dendritic branching of layer 5 pyramidal cells contribute to medial prefrontal cortex deactivation in a rat model of neuropathic pain. Front. Cell. Neurosci. 10, 133 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Carreno F. R., Donegan J. J., Boley A. M., Shah A., DeGuzman M., Frazer A., Lodge D. J., Activation of a ventral hippocampus-medial prefrontal cortex pathway is both necessary and sufficient for an antidepressant response to ketamine. Mol. Psychiatry 21, 1298–1308 (2016). [DOI] [PubMed] [Google Scholar]
- 26.Rost B. R., Wietek J., Yizhar O., Schmitz D., Optogenetics at the presynapse. Nat. Neurosci. 25, 984–998 (2022). [DOI] [PubMed] [Google Scholar]
- 27.Zingg B., Chou X. L., Zhang Z. G., Mesik L., Liang F., Tao H. W., Zhang L. I., AAV-Mediated anterograde transsynaptic tagging: Mapping corticocollicular input-defined neural pathways for defense behaviors. Neuron 93, 33–47 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Kubota Y., Shigematsu N., Karube F., Sekigawa A., Kato S., Yamaguchi N., Hirai Y., Morishima M., Kawaguchi Y., Selective coexpression of multiple chemical markers defines discrete populations of neocortical GABAergic neurons. Cereb. Cortex 21, 1803–1817 (2011). [DOI] [PubMed] [Google Scholar]
- 29.Chen P., Lou S., Huang Z. H., Wang Z., Shan Q. H., Wang Y., Yang Y., Li X., Gong H., Jin Y., Zhang Z., Zhou J. N., Prefrontal cortex corticotropin-releasing factor neurons control behavioral style selection under challenging situations. Neuron 106, 301–315.e7 (2020). [DOI] [PubMed] [Google Scholar]
- 30.Deussing J. M., Chen A., The corticotropin-releasing factor family: Physiology of the stress response. Physiol. Rev. 98, 2225–2286 (2018). [DOI] [PubMed] [Google Scholar]
- 31.Miguel T. T., Gomes K. S., Nunes-de-Souza R. L., Tonic modulation of anxiety-like behavior by corticotropin-releasing factor (CRF) type 1 receptor (CRF1) within the medial prefrontal cortex (mPFC) in male mice: Role of protein kinase A (PKA). Horm. Behav. 66, 247–256 (2014). [DOI] [PubMed] [Google Scholar]
- 32.Feldmeyer D., Sakmann B., Synaptic efficacy and reliability of excitatory connections between the principal neurones of the input (layer 4) and output layer (layer 5) of the neocortex. J. Physiol. 525, 31–39 (2000). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Ji G., Neugebauer V., Pain-related deactivation of medial prefrontal cortical neurons involves mGluR1 and GABAA receptors. J. Neurophysiol. 106, 2642–2652 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Kiritoshi T., Ji G., Neugebauer V., Rescue of impaired mGluR5-Driven endocannabinoid signaling restores prefrontal cortical output to inhibit pain in arthritic rats. J. Neurosci. 36, 837–850 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Radzicki D., Pollema-Mays S. L., Sanz-Clemente A., Martina M., Loss of M1 receptor dependent cholinergic excitation contributes to mPFC deactivation in neuropathic pain. J. Neurosci. 37, 2292–2304 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Huang J., Gadotti V. M., Chen L., Souza I. A., Huang S., Wang D., Ramakrishnan C., Deisseroth K., Zhang Z., Zamponi G. W., A neuronal circuit for activating descending modulation of neuropathic pain. Nat. Neurosci. 22, 1659–1668 (2019). [DOI] [PubMed] [Google Scholar]
- 37.Jones A. K., Derbyshire S. W., Reduced cortical responses to noxious heat in patients with rheumatoid arthritis. Ann. Rheum. Dis. 56, 601–607 (1997). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Mayer E. A., Berman S., Suyenobu B., Labus J., Mandelkern M. A., Naliboff B. D., Chang L., Differences in brain responses to visceral pain between patients with irritable bowel syndrome and ulcerative colitis. Pain 115, 398–409 (2005). [DOI] [PubMed] [Google Scholar]
- 39.Seminowicz D. A., Moayedi M., The dorsolateral prefrontal cortex in acute and chronic pain. J. Pain 18, 1027–1035 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Wang G. Q., Cen C., Li C., Cao S., Wang N., Zhou Z., Liu X. M., Xu Y., Tian N. X., Zhang Y., Wang J., Wang L. P., Wang Y., Deactivation of excitatory neurons in the prelimbic cortex via Cdk5 promotes pain sensation and anxiety. Nat. Commun. 6, 7660 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Jin Y., Meng Q., Mei L., Zhou W., Zhu X., Mao Y., Xie W., Zhang X., Luo M.-H., Tao W., Wang H., Li J., Li J., Li X., Zhang Z., A somatosensory cortex input to the caudal dorsolateral striatum controls comorbid anxiety in persistent pain. Pain 161, 416–428 (2020). [DOI] [PubMed] [Google Scholar]
- 42.Zhu X., Tang H.-D., Dong W.-Y., Kang F., Liu A., Mao Y., Xie W., Zhang X., Cao P., Zhou W., Wang H., Farzinpour Z., Tao W., Song X., Zhang Y., Xue T., Jin Y., Li J., Zhang Z., Distinct thalamocortical circuits underlie allodynia induced by tissue injury and by depression-like states. Nat. Neurosci. 24, 542–553 (2021). [DOI] [PubMed] [Google Scholar]
- 43.Vertes R. P., Differential projections of the infralimbic and prelimbic cortex in the rat. Synapse 51, 32–58 (2004). [DOI] [PubMed] [Google Scholar]
- 44.Manoocheri K., Carter A. G., Rostral and caudal basolateral amygdala engage distinct circuits in the prelimbic and infralimbic prefrontal cortex. eLife 11, e82688 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Capuzzo G., Floresco S. B., Prelimbic and infralimbic prefrontal regulation of active and inhibitory avoidance and reward-seeking. J. Neurosci. 40, 4773–4787 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Ji Y. W., Shen Z. L., Zhang X., Zhang K., Jia T., Xu X., Geng H., Han Y., Yin C., Yang J. J., Cao J. L., Zhou C., Xiao C., Plasticity in ventral pallidal cholinergic neuron-derived circuits contributes to comorbid chronic pain-like and depression-like behaviour in male mice. Nat. Commun. 14, 2182 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Wu T. H., Hu L. Y., Lu T., Chen P. M., Chen H. J., Shen C. C., Wen C. H., Risk of psychiatric disorders following trigeminal neuralgia: A nationwide population-based retrospective cohort study. J. Headache Pain 16, 64 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Zakrzewska J. M., Wu J., Mon-Williams M., Phillips N., Pavitt S. H., Evaluating the impact of trigeminal neuralgia. Pain 158, 1166–1174 (2017). [DOI] [PubMed] [Google Scholar]
- 49.Meulders A., Fear in the context of pain: Lessons learned from 100 years of fear conditioning research. Behav. Res. Ther. 131, 103635 (2020). [DOI] [PubMed] [Google Scholar]
- 50.Vlaeyen J. W. S., Crombez G., Behavioral conceptualization and treatment of chronic pain. Annu. Rev. Clin. Psychol. 16, 187–212 (2020). [DOI] [PubMed] [Google Scholar]
- 51.Ma Q., A functional subdivision within the somatosensory system and its implications for pain research. Neuron 110, 749–769 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Henckens M. J., Deussing J. M., Chen A., Region-specific roles of the corticotropin-releasing factor-urocortin system in stress. Nat. Rev. Neurosci. 17, 636–651 (2016). [DOI] [PubMed] [Google Scholar]
- 53.Tang W., Zhou D., Wang S., Hao S., Wang X., Helmy M., Zhu J., Wang H., CRH neurons in the laterodorsal tegmentum mediate acute stress-induced anxiety. Neurosci. Bull. 37, 999–1004 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Uribe-Marino A., Gassen N. C., Wiesbeck M. F., Balsevich G., Santarelli S., Solfrank B., Dournes C., Fries G. R., Masana M., Labermeier C., Wang X. D., Hafner K., Schmid B., Rein T., Chen A., Deussing J. M., Schmidt M. V., Prefrontal cortex corticotropin-releasing factor receptor 1 conveys acute stress-induced executive dysfunction. Biol. Psychiatry 80, 743–753 (2016). [DOI] [PubMed] [Google Scholar]
- 55.Merali Z., Kent P., Du L., Hrdina P., Palkovits M., Faludi G., Poulter M. O., Bedard T., Anisman H., Corticotropin-releasing hormone, arginine vasopressin, gastrin-releasing peptide, and neuromedin B alterations in stress-relevant brain regions of suicides and control subjects. Biol. Psychiatry 59, 594–602 (2006). [DOI] [PubMed] [Google Scholar]
- 56.Meng Q. Y., Chen X. N., Tong D. L., Zhou J. N., Stress and glucocorticoids regulated corticotropin releasing factor in rat prefrontal cortex. Mol. Cell. Endocrinol. 342, 54–63 (2011). [DOI] [PubMed] [Google Scholar]
- 57.Nie Z., Schweitzer P., Roberts A. J., Madamba S. G., Moore S. D., Siggins G. R., Ethanol augments GABAergic transmission in the central amygdala via CRF1 receptors. Science 303, 1512–1514 (2004). [DOI] [PubMed] [Google Scholar]
- 58.Kash T. L., Winder D. G., Neuropeptide Y and corticotropin-releasing factor bi-directionally modulate inhibitory synaptic transmission in the bed nucleus of the stria terminalis. Neuropharmacology 51, 1013–1022 (2006). [DOI] [PubMed] [Google Scholar]
- 59.Strange B. A., Witter M. P., Lein E. S., Moser E. I., Functional organization of the hippocampal longitudinal axis. Nat. Rev. Neurosci. 15, 655–669 (2014). [DOI] [PubMed] [Google Scholar]
- 60.Lothmann K., Deitersen J., Zilles K., Amunts K., Herold C., New boundaries and dissociation of the mouse hippocampus along the dorsal-ventral axis based on glutamatergic, GABAergic and catecholaminergic receptor densities. Hippocampus 31, 56–78 (2021). [DOI] [PubMed] [Google Scholar]
- 61.Beletskiy A., Positselskaya E., Vinarskaya A. K., Spivak Y. S., Dobryakova Y. V., Tyulenev I., Markevich V. A., Bolshakov A. P., Detailed analysis of dorsal-ventral gradients of gene expression in the hippocampus of adult rats. Int. J. Mol. Sci. 23, 9948 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Grigoryan G., Segal M., Lasting differential effects on plasticity induced by prenatal stress in dorsal and ventral hippocampus. Neural Plast. 2016, 2540462 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Fanselow M. S., Dong H. W., Are the dorsal and ventral hippocampus functionally distinct structures? Neuron 65, 7–19 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Khanna S., Dorsal hippocampus field CA1 pyramidal cell responses to a persistent versus an acute nociceptive stimulus and their septal modulation. Neuroscience 77, 713–721 (1997). [DOI] [PubMed] [Google Scholar]
- 65.Sheng H. Y., Lv S. S., Cai Y. Q., Shi W., Lin W., Liu T. T., Lv N., Cao H., Zhang L., Zhang Y. Q., Activation of ventrolateral orbital cortex improves mouse neuropathic pain-induced anxiodepression. JCI Insight 5, e133625 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.