Literature DB >> 28096495

Memory disrupting effects of nonmuscle myosin II inhibition depend on the class of abused drug and brain region.

Sherri B Briggs1,2, Ashley M Blouin1,2, Erica J Young1,2, Gavin Rumbaugh2, Courtney A Miller1,2.   

Abstract

Depolymerizing actin in the amygdala through nonmuscle myosin II inhibition (NMIIi) produces a selective, lasting, and retrieval-independent disruption of the storage of methamphetamine-associated memories. Here we report a similar disruption of memories associated with amphetamine, but not cocaine or morphine, by NMIIi. Reconsolidation appeared to be disrupted with cocaine. Unlike in the amygdala, methamphetamine-associated memory storage was not disrupted by NMIIi in the hippocampus, nucleus accumbens, or orbitofrontal cortex. NMIIi in the hippocampus did appear to disrupt reconsolidation. Identification of the unique mechanisms responsible for NMII-mediated, amygdala-dependent disruption of memory storage associated with the amphetamine class may enable induction of retrieval-independent vulnerability to other pathological memories.
© 2017 Briggs et al.; Published by Cold Spring Harbor Laboratory Press.

Entities:  

Mesh:

Substances:

Year:  2017        PMID: 28096495      PMCID: PMC5238718          DOI: 10.1101/lm.043976.116

Source DB:  PubMed          Journal:  Learn Mem        ISSN: 1072-0502            Impact factor:   2.460


There are no FDA-approved pharmacotherapies to treat relapse for psychostimulant abuse. Persistent, drug-associated memories are an underlying core feature of substance use disorder (SUD) that can serve as powerful relapse triggers. These memories are triggered by numerous and often abstract environmental cues, making them difficult to predict and treat (Hyman et al. 2006; Milton and Everitt 2012). Dendritic spines, which are thought to contribute to the encoding and storage of memory, undergo actin-dependent changes at the time of learning that are critical to long-term memory (Yang et al. 2009; Lai et al. 2012). Memory-dependent structural plasticity that occurs during long-term potentiation (LTP) requires actin polymerization, the process of elongating filamentous actin (F-actin) by the addition of the monomeric globular form of actin (G-actin) (Lin et al. 2005; Kramar et al. 2006). Moreover, when actin depolymerizing agents are delivered to Area CA1 of the hippocampus (CA1), basolateral amygdala complex (lateral and basolateral amygdala; BLC), infralimbic region of the prefrontal cortex (IL, PFC) or nucleus accumbens (NAc) around the time of learning, memory formation fails (Fischer et al. 2004; Mantzur et al. 2009; Rex et al. 2010; Gavin et al. 2012; Bi et al. 2015). Recently, we reported an unexpected and unique role for F-actin dynamics in the storage of memories associated with the highly addictive stimulant, methamphetamine (METH) (Young et al. 2014, 2015). Direct actin depolymerization within the BLC produces an immediate and long-lasting disruption of METH-associated memory storage and drug seeking, along with a concomitant loss of dendritic spines, that is both independent of retrieval and selective, having no effect on memories associated with fear or food reward. We have also previously identified nonmuscle myosin II (NMII) as a direct regulator of actin polymerization in dendritic spines (Rex et al. 2010). Indeed, as with actin depolymerization, formation of a fear memory is prevented by genetic and pharmacologic NMII inhibition (NMIIi) (Rex et al. 2010; Gavin et al. 2012). Further, NMIIi with the small molecule inhibitor Blebbistatin (Blebb), either delivered directly into the BLC or injected systemically, produces the same selective, long-lasting and retrieval-independent disruption of METH-associated memory storage and associated drug seeking (Young et al. 2014, 2016). Genetic knockdown of NMIIB, the most abundant of the three NMII isoforms in the BLC, mirrors Blebb's effects on METH-associated memory (Young et al. 2016). Given the potential of a therapeutic that could cause the long-lasting, retrieval-independent and selective loss of a drug-associated memory's storage following a single administration, a better understanding of the parameters of NMII inhibition is warranted. In the present study, we used conditioned place preference (CPP) to determine if immediate, retrieval-independent NMII-mediated memory disruption extends from METH to other drugs of abuse (morphine [MOR], cocaine [COC], and amphetamine [AMP]) and other brain regions of the neural circuit regulating METH-associated memories: CA1, the orbitofrontal cortex (OFC) of the PFC and the nucleus accumbens core (NAcc) (Chiang et al. 2009; Ricoy and Martinez 2009; Baracz et al. 2012; Keleta and Martinez 2012; Aguilar-Valles et al. 2014; Zhao et al. 2015). Furthermore, in the absence of a Blebb-induced disruption, we assessed potential Blebb effects on reconsolidation with a second, drug-free test the following day because the therapeutic potential of disrupting drug-associated memories through a blockade of reconsolidation is an area of active research in the SUD field (Lee et al. 2005; Miller and Marshall 2005; Taylor et al. 2009; Torregrossa and Taylor 2013; Tronson and Taylor 2013). To examine the effect of NMIIi on contextual memories associated with other drugs of abuse, mice were conditioned to the opiate MOR and given a systemic vehicle (VEH) or Blebb injection 30 min prior to a drug-free preference test (Test 1) (Fig. 1A). This protocol produces an immediate and lasting disruption of METH-associated memory and context-induced METH seeking that is not dependent on retrieval (Young et al. 2014, 2016). Animals were tested again 24 h later, but received no additional Blebb or MOR. Detailed methods are provided in the Supplemental Material. Statistical analysis revealed that there was no significant effect of Blebb on MOR-associated memory, as both VEH and Blebb-treated animals spent more time in the CS+ (drug-paired) versus CS− (saline-paired) compartment, (Fig. 1B,C) (VEH: Test × Compartment: F(2,44) = 15.09, P ≤ 0.0001; Compartment: F(1,22) = 8.575, P ≤ 0.01; Test: F(2,44) = 0.9532, P > 0.05; Blebb: Test × Compartment: F(2,44) = 16.07, P ≤ 0.0001; Compartment: F(1,22) = 29.53, P ≤ 0.0001; Test: F(2,44) = 1.109, P > 0.05). Post hoc analysis confirmed that Blebb had neither an immediate (Test 1), nor delayed (Test 2) effect on MOR-associated memory.
Figure 1.

Nonmuscle myosin II inhibition produces an immediate disruption of amphetamine-associated memory. (A) Schematic of experimental design. The effect of systemic Blebb on the expression of (B,C) MOR, (D,E) COC, and (F,G) AMP memory. Arrows indicate timing of Vehicle or Blebb injection. MOR: Veh N = 12; Blebb N = 12; COC: Veh N = 15; Blebb N = 15; AMP: Veh N = 21; Blebb N = 23. (*) P ≤ 0.05, (**) P ≤ 0.01, (***) P ≤ 0.001, (****) P ≤ 0.0001. Error bars represent S.E.M.

Nonmuscle myosin II inhibition produces an immediate disruption of amphetamine-associated memory. (A) Schematic of experimental design. The effect of systemic Blebb on the expression of (B,C) MOR, (D,E) COC, and (F,G) AMP memory. Arrows indicate timing of Vehicle or Blebb injection. MOR: Veh N = 12; Blebb N = 12; COC: Veh N = 15; Blebb N = 15; AMP: Veh N = 21; Blebb N = 23. (*) P ≤ 0.05, (**) P ≤ 0.01, (***) P ≤ 0.001, (****) P ≤ 0.0001. Error bars represent S.E.M. Given the lack of effect on an opioid-associated memory, we shifted to an abused drug closer in mechanism to METH, the psychostimulant COC. As with MOR, Blebb did not have an immediate effect on COC-associated memory (Fig. 1D,E; VEH: Test × Compartment: F(2,56) = 24.00, P ≤ 0.0001; Compartment F(1,28) = 25.14, P ≤ 0.0001; Test: F(2,56) = 1.330, P > 0.05; Blebb: Test × Compartment: F(2,56) = 16.37, P ≤ 0.0001; F(1,28) = 8.509, P ≤ 0.01; Test: F(2,56) = 1.143, P > 0.05). However, preference for the COC-paired compartment was absent at Test 2 in the Blebb group (Fig. 1E), suggesting that actin depolymerization via systemic NMIIi may have disrupted the memory's reconsolidation. This is consistent with a demonstrated role for actin polymerization in the reconsolidation of other forms of memory (Mantzur et al. 2009; Rehberg et al. 2010; Ding et al. 2013; Li et al. 2015). To further examine a potential reconsolidation effect, Blebb was administered immediately after Test 1 (Supplemental Fig. S1A). However, unlike following pre-Test 1 Blebb, COC place preference was unchanged at Test 2 with post-Test 1 Blebb (Supplemental Fig. S1B,C) (VEH: Test × Compartment: F(2,24) = 13.14, P ≤ 0.001; Compartment: F(1,12) = 1.755, P ≤ 0.01; Test: F(2,24) = 3.001, P ≤ 0.05; Blebb: Test × Compartment: F(2,28) = 11.99, P ≤ 0.001; Compartment: F(1,14) = 8.848, P ≤ 0.01; Test: F(2,28) = 7.174, P ≤ 0.01). Post hoc results confirm that VEH and Blebb animals preferred the COC-paired compartment on both days. The apparently conflicting results between Blebb delivered immediately before or after Test 1 could indicate an acceleration of extinction learning, rather than a blockade of reconsolidation. This interpretation is unlikely because actin polymerization (not depolymerization) is required for extinction learning (Fischer et al. 2004). However, we further assessed the possibility by examining performance over the course of testing on each day following pre-Test 1 Blebb (Supplemental Fig. S2A). In the case of accelerated extinction, one would expect to see a loss of place preference during the 15-min period of Test 1 or Test 2. In the case of disrupted reconsolidation, one would expect to see normal place preference throughout Test 1, followed by an absence of the place preference throughout the entire second test. VEH and Blebb-treated animals maintained their place preference throughout Test 1 (Supplemental Fig. S2B,C) VEH: Time × Compartment: F(2,60) = 2.125, P > 0.05; Compartment: F(1,30) = 17.64, P ≤ 0.001; Time: F(2,60) = 0.8725, P > 0.05; Blebb: Time × Compartment: F(2,60) = 0.6938, P > 0.05; Compartment: F(1,30) = 52.07, P ≤ 0.0001; Time: F(2,60) = 0.6746, P > 0.05). Similar performance was seen in VEH animals during Test 2 (Supplemental Fig. S2D; Time × Compartment: F(2,56) = 7.341, P ≤ 0.01; Compartment: F(1,28) = 13.85, P ≤ 0.001; Time: F(2,56) = 0.1712, P > 0.05). Blebb animals, on the other hand, showed a complete loss of the place preference from the start of Test 2, consistent with the interpretation that reconsolidation was disrupted, rather than extinction being accelerated by NMIIi (Supplemental Fig. S2E) (Blebb: Time × Compartment: F(2,56) = 4.008, P ≤ 0.01; Compartment: F(1,28) = 0.7098, P > 0.05; Time: F(2,56) = 1.005, P > 0.05). To further assess the impact of NMIIi on drug-associated memory, we determined the effect of Blebb on a psychostimulant in the same class as METH, AMP. Similar to our prior findings with METH (Young et al. 2014, 2016), NMIIi resulted in an immediate disruption of AMP-associated memories that persisted into the second test (VEH: Test × Compartment: F(2,32) = 3.756, P ≤ 0.05; Compartment: F(1,16) = 7.777, P ≤ 0.05; Test: F(2,32) = 0.7230, P > 0.05; Blebb: Test × Compartment: F(2,40) = 7.789, P ≤ 0.01; Compartment: F(1,20) = 18.78, P ≤ 0.001; Test: F(2,40) = 7.789, P > 0.05). After finding an effect of Blebb on AMP-associated memories, we replicated the finding and the data were combined with the first cohort data (Fig. 1F,G) (VEH: Test × Compartment: F(2,80) = 6.749, P ≤ 0.01 Compartment: F(1,40) = 16.60, P ≤ 0.001; Test: F(2,80) = 1.167, P > 0.05; Blebb: Test × Compartment: F(2,88) = 6.793, P ≤ 0.01; Compartment: F(1,44) = 12.46, P ≤ 0.001; Test: F(2,88) = 1.434, P > 0.05). In Figure 1G, Blebb appears to produce an aversion to the CS+. Based on the positive MOR and COC place preferences displayed by Blebb-treated animals (Fig. 1C,E), it is highly unlikely that Blebb itself is aversive. Rather, the apparent aversion in AMP-trained, Blebb-treated mice reflects the design of our CPP experiments, in which AMP was paired with an individual animal's initially least preferred CPP chamber to avoid the false appearance of a drug-induced place preference post-training. As a result, when the memory is disrupted by Blebb, animals revert to a pattern closer to their pretraining preference for the CS− compartment (see Supplemental Table 1 for additional analysis). Taken together, these results suggest that immediate, NMII-mediated disruption of drug-associated memory may be limited to the amphetamine class. In previous work, we reported that the density of dendritic spines increases in the BLC with METH conditioning and correlates with the strength of the memory (Young et al. 2014). Using tissue from these same Thy1-GFP mice(m), in which BLC spine density had been assessed following conditioning with METH or saline (Young et al. 2014), we determined spine density in CA1 and found an increase in METH-conditioned mice (Fig. 2A,B; F(112) = 7.50, P ≤ 0.05). We have also previously reported that NMIIi-mediated disruption of a METH-associated memory via systemic Blebb is associated with a decrease in BLC spine density (Young et al. 2016). Using this same tissue, in which METH-associated memory was disrupted and BLC spine density reduced by systemic Blebb (Young et al. 2016), we assessed the impact on CA1 spine density. Unlike in the BLC, Blebb treatment had no effect on the METH-induced increase in CA1 spine density (Fig. 2C; F(1,10) = 0.014, P > 0.05).
Figure 2.

Intra-hippocampus NMII inhibition has no effect on spine density or the immediate expression of a METH-associated memory. (A) Location of dendritic spine density analysis within Area CA1 of the HPC. (B) The effect of METH-associated learning on spine density in CA1. (C) The effect of NMII inhibition on spine density in CA1 following METH-associated learning. (D) Schematic of experimental design. (E) The effect of intra-CA1 infusion of (E) Vehicle or (F) Blebb on METH-associated memory. Arrows indicate timing of Vehicle or Blebb infusion. 11 dendrites for each group were analyzed for spine density analysis. Intra-CA1: Veh N = 10; Blebb N = 14. (*) P ≤ 0.05, (**) P ≤ 0.01. Error bars represent S.E.M.

Intra-hippocampus NMII inhibition has no effect on spine density or the immediate expression of a METH-associated memory. (A) Location of dendritic spine density analysis within Area CA1 of the HPC. (B) The effect of METH-associated learning on spine density in CA1. (C) The effect of NMII inhibition on spine density in CA1 following METH-associated learning. (D) Schematic of experimental design. (E) The effect of intra-CA1 infusion of (E) Vehicle or (F) Blebb on METH-associated memory. Arrows indicate timing of Vehicle or Blebb infusion. 11 dendrites for each group were analyzed for spine density analysis. Intra-CA1: Veh N = 10; Blebb N = 14. (*) P ≤ 0.05, (**) P ≤ 0.01. Error bars represent S.E.M. If spine density is indeed related to the storage of METH-associated memory, this would predict that NMIIi in CA1 would fail to disrupt the memory. Indeed, unlike when infused into the BLC (or given IP), intra-CA1 Blebb prior to Test 1 (Fig. 2D) did not have an immediate effect on METH-associated memory. However, similar to the effect of systemic Blebb on COC-associated memory (Fig. 1E), the place preference was absent at Test 2 in Blebb-treated animals (Fig. 2E, VEH: Test X × Compartment: F(2,36) = 4.643, P ≤ 0.05; Compartment: F(1,18) = 9.710, P ≤ 0.05; Test F(2,36) = 0.05748, P > 0.05; Blebb: Test × Compartment: F(2,52) = 5.490, P ≤ 0.05; Test: F(2,52) = 0.06091, P > 0.05; Compartment: F(1,26) = 3.611, P > 0.05). To further assess the potential reconsolidation effect, Blebb was infused into CA1 immediately following Test 1 (Supplemental Fig. S3A). All animals displayed a place preference both before VEH or Blebb treatment (Test 1), and after (Test 2) (Supplemental Fig. S3B,C, VEH: Test × Compartment: F(2,20) = 4.408, P ≤ 0.05; Compartment: F(1,10) = 5.292, P ≤ 0.05; Test: F(2,20) = 0.4652, P > 0.05; Blebb: Test × Compartment: F(2,28) = 3.819, P ≤ 0.05; Compartment: F(1,14) = 10.44, P ≤ 0.01; Test: F(2,28) = 1.492, P > 0.05), indicating a lack of NMIIi-mediated reconsolidation blockade when Blebb was delivered at this time point. As with the COC-associated memory, the absence of a place preference at Test 2 in animals that received intra-CA1 Blebb prior to Test 1 could indicate an enhancement of extinction, rather than a disruption of reconsolidation. To investigate this, we assessed Test 1 and Test 2 (Supplemental Fig. S4A) place preference in 5-min bins. The VEH-treated group displayed a place preference throughout Test 1 and most of Test 2 (Supplemental Fig. S4B, Test 1: Time × Compartment: F(2,36) = 1.571, P > 0.05; Compartment: F(1,18) = 14.15, P ≤ 0.01; Time: F(2,36) = 0.3007, P > 0.05; Supplemental Fig. S4D, Test 2: Time × Compartment: F(2,36) = 0.2021, P > 0.05; Compartment: F(1,18) = 6.907, P ≤ 0.05; Time: F(2,36) = 0.5085, P > 0.05). Blebb-treated animals also displayed a place preference throughout Test 1 (Supplemental Fig. S4C, Time × Compartment: F(2,52) = 1.959, P > 0.05; Compartment: F(1,26) = 12.62, P ≤ 0.01; Time: F(1,26) = 12.62, P > 0.05), but at no point during Test 2 (Supplemental Fig. S4E), (Time × Compartment: F(2,36) = 4.469, P ≤ 0.05; Compartment: F(1,18) = 0.2125, P > 0.05; Time: F(2,36) = 0.4508, P > 0.05), consistent with a disruption of reconsolidation by pre-Test 1 intra-CA1 Blebb. To further assess the effect of NMIIi on METH-associated memory within the neural circuit, mice received intra-OFC or intra-NAcc infusions of Blebb 30 min prior to testing for METH-associated memory (Fig. 3A). Similar to CA1, intra-OFC infusion of Blebb had no effect on time spent in the drug-paired compartment (Fig. 3B,C, VEH: Test × Compartment: F(2,44) = 6.889, P ≤ 0.01; Compartment: F(1,22) = 5.874, P ≤ 0.05; Test: F(2,44) = 0.1399, P > 0.05; Blebb: Test × Compartment: F(2,44) = 5.108, P ≤ 0.01; Compartment: F(1,22) = 5.613, P ≤ 0.05; Test: F(2,44) = 0.4645, P > 0.05). Further highlighting the unique nature of actin regulation in the BLC in association with METH memory, there was no immediate effect of Blebb in the NAcc either (Fig. 3D,E) VEH: Test × Compartment: F(2,32) = 10.07, P ≤ 0.001; Compartment: F(1,16) = 4.573, P ≤ 0.05; Test: F(2,32) = 0.5367, P > 0.05; Blebb: Test × Compartment: F(2,32) = 6.577, P ≤ 0.05; Compartment: F(1,16) = 2.918, P > 0.05; Test: F(2,32) = 0.4481, P > 0.05). Cannula placements for intra-CNS infusions can be found in Supplemental Figure S5. Together, these data suggest that Blebb's ability to immediately disrupt METH-associated memory may be unique to the BLC (Young et al. 2014, 2015, 2016).
Figure 3.

Inhibition of nonmuscle myosin II within the OFC or NAcc does not have an immediate effect on METH-associated memory. (A) Schematic of experimental design. The effect of NMII inhibition by Blebbistatin within the (B,C) OFC or (D,E) NAcc on METH-associated memory. Arrows indicate timing of Vehicle or Blebb infusion. PFC: Veh N = 12, Blebb N = 12; NAc Veh N = 9; Blebb N = 9. (*) P ≤ 0.05, (**) P ≤ 0.01. Error bars represent S.E.M.

Inhibition of nonmuscle myosin II within the OFC or NAcc does not have an immediate effect on METH-associated memory. (A) Schematic of experimental design. The effect of NMII inhibition by Blebbistatin within the (B,C) OFC or (D,E) NAcc on METH-associated memory. Arrows indicate timing of Vehicle or Blebb infusion. PFC: Veh N = 12, Blebb N = 12; NAc Veh N = 9; Blebb N = 9. (*) P ≤ 0.05, (**) P ≤ 0.01. Error bars represent S.E.M. We have previously reported that pharmacologic actin depolymerization, as well as pharmacologic and genetic inhibition of NMII within the BLC produces an immediate, retrieval-independent disruption of METH-associated memory storage. Further, these same manipulations have no effect on memories associated with footshock or food reward (Rex et al. 2010; Gavin et al. 2012; Young et al. 2014, 2016). Here, we extend these findings to show that the memory disrupting effects of NMIIi are even more selective than we initially hypothesized. Indeed, the only immediate disruption achieved by NMII inhibition was in the context of AMP-associated memory, which has important implications for the rising abuse of Adderall. Although COC, AMP, and METH are all psychostimulants, there are important differences that may underlie the specificity of NMIIi to members of the AMP class. First, the half-life of AMPs and COC differ significantly. In mice, COC has a relatively short half-life of ∼15 min (Benuck et al. 1987), compared with 1 h for METH and AMP (Fuller et al. 1972; Brien et al. 1978). This disparity is even greater in humans, where COC has a half-life of 1 h, while METH's half-life is roughly 12 h (Cook et al. 1993; Harris et al. 2003). AMP-like drugs are also unique from COC, in that they bind and activate the trace amine-associated receptor 1 (TAAR1) (Bunzow et al. 2001)). This receptor colocalizes with monoamine transporters (Xie and Miller 2007, 2008; Lindemann et al. 2008) and is enriched in brain nuclei associated with reward, including the BLC (Borowsky et al. 2001). Thus, this receptor is uniquely positioned to mediate the effects of AMP-like drugs, though it does not explain the failure of NMIIi to disrupt METH-associated memory in the HPC, NAcc, or OFC, as TAAR1 is also expressed here. TAAR1 stimulation results in the internalization of monoamine transporters and enhanced DA efflux (Zucchi et al. 2006; Xie and Miller 2009a,b), contributing to the far greater levels of monoamines found in the synaptic cleft for longer periods of time with METH and AMP, relative to COC (Di Chiara and Imperato 1988; Xie and Miller 2009b). Further, actin dynamics are influenced by monoamines. For instance, repeated activation of the D1 dopamine receptor can produce dendritic remodeling, an actin-dependent process (Krucker et al. 2000; Fukazawa et al. 2003; Lin et al. 2013). Given the broad reliance of many brain regions on actin polymerization for memory processes (for review, see Sorg 2012; Baldi and Bucherelli 2015), we hypothesized that the perpetual actin cycling following METH-associated learning that confers the selective, retrieval-independent susceptibility of the memory to disruption may not be limited to the BLC. Therefore, we investigated the potential for NMIIi to similarly disrupt METH-associated memory when infused directly into other regions of the neural circuit supporting the memory, the OFC, NAcc, and CA1. The lack of an immediate memory disrupting effect with NMIIi in any of these regions suggests that memory-related actin is likely stabilized after learning, similar to what we and others have previously demonstrated in the context of fear and food reward memories (Mantzur et al. 2009; Rehberg et al. 2010; Rex et al. 2010; Gavin et al. 2012; Young et al. 2014, 2016). Though it should be noted that, while the coordinates and infusion volume targeted the NAc core, spillover of Blebb into the shell may have occurred, raising the possibility that NMIIi produced opposing behavioral effects in the accumbens core and shell. Given that systemic administration of Blebb failed to disrupt MOR and COC-associated memories and infusions of Blebb into the NAc, OFC, and CA1 failed to recapitulate the effect of infusion into the BLC, we tested animals a second time 24 h later to assess potential reconsolidation effects of NMIIi. The apparent blockade of COC-associated reconsolidation following pre-Test IP Blebb administration and METH-associated reconsolidation following NMII inhibition in CA1 prior to testing is not surprising, given that actin polymerization has been implicated in fear memory reconsolidation and these two brain regions have been implicated in the reconsolidation of memories associated with drugs of abuse, including COC (Miller and Marshall 2005; Monfils et al. 2009; Rehberg et al. 2010; Ding et al. 2013; Lee and Hynds 2013; Baldi and Bucherelli 2015; Li et al. 2015). To more directly investigate the potential reconsolidation effect of NMIIi, we used an experimental design more traditionally used to assess reconsolidation, by administering Blebb immediately after the first test. Manipulations at this time have proved effective for a number of molecular processes, such as protein synthesis, and a number of memory types, including those associated with drugs of abuse. Interestingly, post-retrieval NMIIi had no effect on the drug-associated memories at the second test. This result may not be as surprising as it first appears when one considers the rapid timing associated with plasticity-induced actin dynamics. Our understanding of spine actin dynamics in vivo, particularly in the BLC, is very limited, largely due to the technical challenges of imaging. However, insight into the temporal dynamics of actin polymerization can be gained from studies of long-term potentiation (LTP) in acute hippocampal slices. Actin polymerization is required for the stabilization of plasticity (Krucker et al. 2000; Fukazawa et al. 2003), and spine F-actin levels increase within just a few minutes of NMDA-induced activation in culture (Okamoto et al. 2004) or θ burst stimulation in slices (Kramar et al. 2006; Rex et al. 2009). The ability of actin depolymerization and NMIIi to disrupt LTP closely matches this rate of TBS-induced actin polymerization, such that Latrunculin A, an actin depolymerizer, or Blebb prevents LTP stabilization when applied 30 sec, but not 10 min, after θ burst stimulation (Rex et al. 2010). This tight temporal window of efficacy is attributed to rapid stabilization of the actin cytoskeleton. The relevance of LTP to reconsolidation is underscored by studies showing that synaptic reactivation can resensitize LTP to protein synthesis inhibition (Fonseca et al. 2006; Okubo-Suzuki et al. 2016), much like reconsolidation. Thus, it is very likely that in the case of Blebb delivery after retrieval, either through infusions into CA1 (Supplemental Fig. S3) or systemically (Supplemental Fig. S1), the window for targeting actin dynamics via inhibition of its upstream regulator, NMII, had already closed by the time Blebb reached the brain region of interest and penetrated the cells to interfere with actin polymerization. This inability to disrupt contextual drug memories with post-retrieval Blebb treatment leaves open the possibility that the lack of a place preference at the second test following pre-Test Blebb was due to an acceleration of extinction, rather than a blockade of reconsolidation. However, the reconsolidation interpretation is supported in two ways. First, stable place preferences are present throughout Test 1 in the COC and CA1 experiments, but absent from the start of Test 2. In the case of accelerated extinction, one would expect to see a rapid decline during the course of one of the two 15 min test periods, which is not the case. In addition, actin polymerization is required for extinction learning (Fischer et al. 2004), such that inhibiting polymerization during extinction training results in protection of the original memory trace. Here we report the opposite effect of depolymerization via NMIIi, a loss of drug memories. Taken together, these results extend our understanding of actin-mediated signaling in reconsolidation by implicating its direct upstream regulator, NMII. Further, the results suggest that NMIIi may prove to be a powerful therapeutic approach for disrupting memories associated with amphetamines by their selective targeting in storage, but also other psychostimulants if delivered in the context of memory reactivation.
  53 in total

1.  Hippocampal LTP is accompanied by enhanced F-actin content within the dendritic spine that is essential for late LTP maintenance in vivo.

Authors:  Yugo Fukazawa; Yoshito Saitoh; Fumiko Ozawa; Yasuhiko Ohta; Kensaku Mizuno; Kaoru Inokuchi
Journal:  Neuron       Date:  2003-05-08       Impact factor: 17.173

2.  Neuronal activity determines the protein synthesis dependence of long-term potentiation.

Authors:  Rosalina Fonseca; U Valentin Nägerl; Tobias Bonhoeffer
Journal:  Nat Neurosci       Date:  2006-03-12       Impact factor: 24.884

3.  Medial prefrontal cortex and nucleus accumbens core are involved in retrieval of the methamphetamine-associated memory.

Authors:  Chih-Yuan Chiang; Chianfang G Cherng; Yu-Ting Lai; Hsin-Yi Fan; Jia-Ying Chuang; Gour-Shenq Kao; Wan-Ting Chang; Lung Yu
Journal:  Behav Brain Res       Date:  2008-08-05       Impact factor: 3.332

4.  Disposition and behavioral effects of amphetamine and , -difluoroamphetamine in mice.

Authors:  R W Fuller; B B Molloy; B W Roush; K M Hauser
Journal:  Biochem Pharmacol       Date:  1972-05-01       Impact factor: 5.858

5.  Amphetamine, 3,4-methylenedioxymethamphetamine, lysergic acid diethylamide, and metabolites of the catecholamine neurotransmitters are agonists of a rat trace amine receptor.

Authors:  J R Bunzow; M S Sonders; S Arttamangkul; L M Harrison; G Zhang; D I Quigley; T Darland; K L Suchland; S Pasumamula; J L Kennedy; S B Olson; R E Magenis; S G Amara; D K Grandy
Journal:  Mol Pharmacol       Date:  2001-12       Impact factor: 4.436

Review 6.  The Actin Cytoskeleton as a Therapeutic Target for the Prevention of Relapse to Methamphetamine Use.

Authors:  Erica J Young; Sherri B Briggs; Courtney A Miller
Journal:  CNS Neurol Disord Drug Targets       Date:  2015       Impact factor: 4.388

Review 7.  The persistence of maladaptive memory: addiction, drug memories and anti-relapse treatments.

Authors:  Amy L Milton; Barry J Everitt
Journal:  Neurosci Biobehav Rev       Date:  2012-01-24       Impact factor: 8.989

8.  Stably maintained dendritic spines are associated with lifelong memories.

Authors:  Guang Yang; Feng Pan; Wen-Biao Gan
Journal:  Nature       Date:  2009-11-29       Impact factor: 49.962

9.  Methamphetamine-induced behavioural effects and brain concentrations of methamphetamine and its metabolite amphetamine in mice.

Authors:  J F Brien; J C Kitney; J E Peachey; B J Rogers
Journal:  Res Commun Chem Pathol Pharmacol       Date:  1978-11

10.  The bioavailability of intranasal and smoked methamphetamine.

Authors:  Debra S Harris; Harold Boxenbaum; E Thomas Everhart; Gina Sequeira; John E Mendelson; Reese T Jones
Journal:  Clin Pharmacol Ther       Date:  2003-11       Impact factor: 6.875

View more
  7 in total

1.  Nonmuscle myosin II inhibition disrupts methamphetamine-associated memory in females and adolescents.

Authors:  Erica J Young; Sherri B Briggs; Gavin Rumbaugh; Courtney A Miller
Journal:  Neurobiol Learn Mem       Date:  2017-01-07       Impact factor: 2.877

2.  Synaptic Microtubule-Associated Protein EB3 and SRC Phosphorylation Mediate Structural and Behavioral Adaptations During Withdrawal From Cocaine Self-Administration.

Authors:  Erin S Calipari; Arthur Godino; Marine Salery; Diane M Damez-Werno; Michael E Cahill; Craig T Werner; Amy M Gancarz; Emily G Peck; Zahra Jlayer; Jacqui Rabkin; Joseph A Landry; Alexander C W Smith; Paola Defilippi; Paul J Kenny; Yasmin L Hurd; Rachael L Neve; David M Dietz; Eric J Nestler
Journal:  J Neurosci       Date:  2019-05-15       Impact factor: 6.167

3.  Dynamic Actin Filament Traps Mediate Active Diffusion of Vesicular Stomatitis Virus Ribonucleoproteins.

Authors:  Steven J Moran; Shelby Puckett; David A Ornelles; Jed C Macosko; George Holzwarth; Douglas S Lyles
Journal:  J Virol       Date:  2022-09-22       Impact factor: 6.549

4.  Methamphetamine Learning Induces Persistent and Selective Nonmuscle Myosin II-Dependent Spine Motility in the Basolateral Amygdala.

Authors:  Erica J Young; Hua Lin; Theodore M Kamenecka; Gavin Rumbaugh; Courtney A Miller
Journal:  J Neurosci       Date:  2020-02-17       Impact factor: 6.167

Review 5.  Reconsolidation blockade for the treatment of addiction: challenges, new targets, and opportunities.

Authors:  Marc T J Exton-McGuinness; Amy L Milton
Journal:  Learn Mem       Date:  2018-08-16       Impact factor: 2.460

6.  The role of nonmuscle myosin II in polydrug memories and memory reconsolidation.

Authors:  Sherri B Briggs; Madalyn Hafenbreidel; Erica J Young; Gavin Rumbaugh; Courtney A Miller
Journal:  Learn Mem       Date:  2018-08-16       Impact factor: 2.460

Review 7.  Conventional and Non-Conventional Roles of Non-Muscle Myosin II-Actin in Neuronal Development and Degeneration.

Authors:  Míriam Javier-Torrent; Carlos A Saura
Journal:  Cells       Date:  2020-08-19       Impact factor: 6.600

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.