Skip to main content

ORIGINAL RESEARCH article

Front. Mol. Neurosci., 12 January 2018
Sec. Neuroplasticity and Development
Volume 10 - 2017 | https://doi.org/10.3389/fnmol.2017.00452

Negative Effects of Chronic Rapamycin Treatment on Behavior in a Mouse Model of Fragile X Syndrome

Rachel M. Saré Alex Song Inna Loutaev Anna Cook Isabella Maita Abigail Lemons Carrie Sheeler Carolyn B. Smith*
  • Section on Neuroadaptation and Protein Metabolism, National Institute of Mental Health, National Institutes of Health, United States Department of Health and Human Services, Bethesda, MD, United States

Fragile X syndrome (FXS), the most common form of inherited intellectual disability, is also highly associated with autism spectrum disorders (ASD). It is caused by expansion of a CGG repeat sequence on the X chromosome resulting in silencing of the FMR1 gene. This is modeled in the mouse by deletion of Fmr1 (Fmr1 KO). Fmr1 KO mice recapitulate many of the behavioral features of the disorder including seizure susceptibility, hyperactivity, impaired social behavior, sleep problems, and learning and memory deficits. The mammalian target of rapamycin pathway (mTORC1) is upregulated in Fmr1 KO mice and is thought to be important for the pathogenesis of this disorder. We treated Fmr1 KO mice chronically with an mTORC1 inhibitor, rapamycin, to determine if rapamycin treatment could reverse behavioral phenotypes. We performed open field, zero maze, social behavior, sleep, passive avoidance, and audiogenic seizure testing. We found that pS6 was upregulated in Fmr1 KO mice and normalized by rapamycin treatment, but, except for an anxiogenic effect, it did not reverse any of the behavioral phenotypes examined. In fact, rapamycin treatment had an adverse effect on sleep and social behavior in both control and Fmr1 KO mice. These results suggest that targeting the mTOR pathway in FXS is not a good treatment strategy and that other pathways should be considered.

Introduction

Fragile X syndrome is the most common inherited form of intellectual disability. It is an X-linked disorder caused by an elongation of a CGG repeat (>200) in the 5′-untranslated region of the FMR1 gene leading to silencing of the gene and a paucity of the protein product FMRP (Verkerk et al., 1991). FXS primarily affects males who experience a myriad of symptoms ranging from cognitive impairment, seizures, disordered sleep, and emotional instability (Loesch et al., 2002; Jin and Warren, 2003; Penagarikano et al., 2007; Kronk et al., 2010). Up to 60% of FXS cases are diagnosed with ASD (Hagerman et al., 1986; Bailey et al., 1998). In a mouse model of FXS, Fmr1 KO, behavioral characteristics paralleling those seen in FXS individuals have been demonstrated. These include hyperactivity, decreased preference for social novelty, sleep deficits, and learning and memory deficits (Mineur et al., 2002; Qin et al., 2002; Kooy, 2003; Spencer et al., 2005; Liu et al., 2011; Kazdoba et al., 2014; Saré et al., 2016, 2017).

It is thought that a dysregulation of protein synthesis, particularly at synapses, underlies these behavioral symptoms. Two signaling pathways that are critical nodes in the regulation of protein synthesis may be involved: mitogen activated protein kinase/extracellular signal-regulated kinase (MAPK/ERK) and mTOR. mTOR in association with raptor forms mTOR complex 1 (mTORC1), a metabolic sensor and a key regulator of cell growth. Dysregulation of mTORC1 is associated with many neurological disorders including ASD, epilepsy, and neurodegenerative disorders (Lipton and Sahin, 2014). The MAPK/ERK cascade functions in cell proliferation, differentiation, and survival, and is activated through growth factors acting on receptor-activated tyrosine kinases. Both pathways have been shown to be elevated in studies of Fmr1 KO mice (Osterweil et al., 2010; Sharma et al., 2010; Bhattacharya et al., 2012; Liu et al., 2012; Busquets-Garcia et al., 2013; Choi et al., 2016; Sawicka et al., 2016). However, there is some debate whether the mTORC1 pathway is actually elevated in Fmr1 KO mice since some studies have not found increases in pathway components (Osterweil et al., 2010; Sawicka et al., 2016).

In the present study, we sought to determine the effects of rapamycin-induced mTORC1 inhibition on the behavioral phenotype of Fmr1 KO mice. We chronically treated control and Fmr1 KO mice by dietary administration of rapamycin. We found that p-S6 (a downstream target of both mTORC1 and ERK) in cortical lysates from vehicle-treated Fmr1 KO mice was elevated compared to vehicle-treated controls. Levels of p-S6 were reduced in Fmr1 KO mice following rapamycin treatment. We performed a battery of behavioral tests to examine sleep duration, activity, anxiety-like behavior, social behavior, learning and memory, and seizure susceptibility. Paradoxically, we found that rapamycin did not reverse most of the phenotypes examined. In fact, in both control and Fmr1 KO mice, rapamycin decreased sleep duration and measures of social interaction. Our results suggest that the mTORC1 pathway is not causally involved in the behavioral phenotype of FXS and that alternate pathways should be considered for targeted treatments.

Materials and Methods

Animals

Male Fmr1 KO and control animals on a C57BL/6J background were generated from heterozygous and control breeder pairs in-house. Animals were weaned at 21 days of age. Genotyping was performed from tail biopsies as previously described (Qin et al., 2002). Animals were group housed in a climate controlled facility with access to food and water ad libitum. All procedures were performed in accordance with the National Institutes of Health Guidelines on the Care and Use of Animals and approved by the National Institute of Mental Health Animal Care and Use Committee.

Rapamycin Treatment

At 21 days of age (P21), males in each litter were separated such that half received vehicle treatment and the other half received rapamycin treatment. Rapamycin was encapsulated with Eudragit (Rapamycin Holdings, San Antonio, TX, United States) and incorporated into mouse chow at 11 mg/kg food (Purina LabDiet, St. Louis, MO, United States). Based on how much food an average mouse consumes per day (4g; Tremblay et al., 2007), P21 animals received 4.4 mg/kg/day. Once the animals reached adult weight around 60 days of age, we estimate that the animals received 1.75 mg/kg/day. This dosage was based on a previous dosage used to reverse social behavior deficits in a mouse model of TSC (Reith et al., 2012).

Behavior Testing

Beginning at 60 days of age, animals were subjected to a battery of behavior tests with tests spaced 1 week apart. They were conducted from the least stressful to the most stressful in the following order: sleep testing, open field, zero maze, social behavior, and passive avoidance.

Sleep Monitoring

Sleep testing was conducted by means of a home-cage monitoring system (Columbus Instruments, Columbus, OH, United States) as previously described (Saré et al., 2017). Briefly, animals were individually housed and recorded for 72 consecutive hours. To eliminate the effect of habituation to the home-cage environment and single housing (Saré et al., 2017), we analyzed sleep duration from the last 48 h of recording. An animal was considered asleep if it had 40 s of consecutive inactivity. The percent time asleep was calculated separately for the light (inactive) and the dark (active) phases.

Open Field

Activity and anxiety were assayed by means of photobeam detection in a novel open field environment (Coulbourn Instruments, Whitehall, PA, United States) as previously described (Saré et al., 2015). Briefly, total horizontal distance moved was recorded over a 30-min session in 5 min epochs as a measure of total activity. The ratio of horizontal distance traveled in the center (more than 1.91 cm away from the arena walls) to total distance was calculated for each epoch as an inverse measure of anxiety.

Zero Maze

Anxiety was assayed by means of a zero maze (Med Associates, Fairfax, VT, United States). Animals were placed facing the open portion of the zero maze and allowed to explore the maze for 5 min. The times spent in the open and closed portions of the maze were determined. An animal was considered to be in a portion of the maze if both forepaws crossed into that portion. If an animal fell off the maze, it was eliminated from the analysis.

Social Behavior

Social behavior was assayed by means of a 3-chambered apparatus as previously described (Saré et al., 2016). The assay had three consecutive parts. First, the animal was allowed a 5 min habituation period to the empty chamber. Animals demonstrating a side preference of more than 3 min were eliminated from the test. Second, in the sociability phase, an age-matched stranger mouse was placed in a sociability enclosure (Noldus Information Technology, Inc., Leesburg, VA, United States) in one chamber. An empty sociability enclosure was placed in the opposite chamber. These locations were alternated between mice to avoid a side bias. The test animal was placed in the center chamber and allowed to freely explore all chambers for 5 min. Times spent sniffing the sociability enclosures were recorded by subsequent video analysis. Sniffing was analyzed by means of the TopScan software (Clever Systems, Reston, VA, United States). Parameters were set to define sniffing as the animal’s nose directed toward the enclosure and within 20 mm of the enclosure. Third, in the social novelty phase, a novel stranger mouse was added to the previously empty sociability enclosure. The test animal was once again allowed to explore for 5 min, with measures recorded as before.

Passive Avoidance

Passive avoidance was conducted as previously reported (Saré et al., 2016). Briefly, habituation was conducted on Day 1. The animals were placed in the lighted chamber of the passive avoidance shuttle box with the door to the dark chamber closed. After 30 s, the door to the dark chamber opened. Once the animal entered, the test was ended. On Day 2, the animal was subjected to two training sessions. The animal was once again placed in the lighted chamber with the door to the dark chamber closed. After 30 s, the door was opened. Once the animal entered the dark chamber, it received a footshock (0.3 mA, 1 s). The animal was left in the dark chamber for 15 s and then moved to a holding cage for 120 s and was then placed in the lighted chamber and the process was repeated. On Day 3 and 24 h after the training session, animals were placed in the lighted chamber with the door to the dark chamber closed. The door was opened and the latency to enter the dark chamber was recorded with a cutoff of 570 s.

Audiogenic Seizure Susceptibility

In separate groups of animals, we conducted audiogenic seizure testing as previously reported (Miano et al., 2008). Testing began at P30. Animals were placed in a sound attenuating chamber with a viewing window (Med Associates, Fairfax, VT, United States). A siren (130 dB) sounded (Wal-Mart, Bentonville, AR, United States) for 5 min while seizure activity was observed. A seizure was defined as wild running, sometimes followed by myoclonic convulsions, sometimes followed by respiratory arrest. The frequency of each of these behaviors occurring in response to the tone was recorded.

Western Blotting

Mice used for Western blotting had been tested for behavior with the exception of passive avoidance and audiogenic seizure susceptibility. A week after the last behavioral test, mice were decapitated and the frontal cortex was rapidly dissected for total protein extraction. The tissue was weighed and homogenized with 5% (weight/volume) solution of Tissue Protein Extraction Reagent (Thermo Fisher Scientific, Waltham, MA, United States) with 1% Halt Protease and Phosphatase Inhibitor Cocktail (Thermo Fisher Scientific) and 1% EDTA (Thermo Fisher Scientific). The homogenate was centrifuged at 15,000 × g for 15 min at 4°C and the supernatant was collected. Protein extracts (10 μg) were treated with equal volume 2× Laemmli buffer, incubated at 70°C for 10 min, and run on a 4–15% Mini-PROTEAN TGX Stain-Free gel (Bio-Rad Laboratories, Hercules, CA, United States). The gel was activated under ultraviolet light, proteins transferred to a nitrocellulose membrane, incubated with primary antibody overnight at 4°C, followed by secondary antibody [goat anti-rabbit horseradish peroxidase-linked at 1:10,000 (Bio-Rad Laboratories)] for 1 h at room temperature. We employed the Stain-Free Technology (Bio-Rad Laboratories) to normalize blots to total protein. The membrane was imaged under Stain-Free to determine total protein for loading control. The membrane was then incubated in Clarity substrate and imaged by means of a chemiluminescent signal on a ChemiDoc MP Imager (Bio-Rad Laboratories). Primary antibodies were used at a 1:1000 dilution and were as follows: FMRP (Abcam 27455), p-mTOR (Cell Signaling 5536), mTOR (Cell Signaling 2983), p-p70S6K (Cell Signaling 9234), p70S6K (Cell Signaling 2708), p-S6 235/236 (Cell Signaling 2211), p-S6 240/244 (Cell Signaling 2215), S6 (Cell Signaling 2217), p-ERK (Cell Signaling 4370), ERK (Cell Signaling 7124), p-AKT Ser473 (Cell Signaling 4060), and AKT (Cell Signaling 9272). Values presented are relative to the mean of vehicle-treated controls.

Statistical Analysis

Data are reported as means ± SEM. Data from the zero maze, passive avoidance tests, and Westerns blots were analyzed by means of two-way ANOVA with genotype (control, Fmr1 KO) and condition (vehicle, rapamycin) as between subjects variables. Sleep and open field data were analyzed by means of a mixed-model repeated measures three-way ANOVA with genotype (control, Fmr1 KO) and condition (vehicle, rapamycin) as between subjects variables and phase (sleep) or epoch (open field) as within subjects variables. In cases in which the interaction between or among variables was statistically significant, we compared groups and/or conditions by means of post hoc t-tests. Social behavior was analyzed by means of paired student’s t-tests to compare stranger vs. object (sociability) or familiar vs. novel (social novelty). Audiogenic seizures were analyzed by means of a Fisher’s exact test comparing the effect of treatment in Fmr1 KO animals. Effects of p ≤ 0.05 are considered statistically significant and are denoted with a “.” Effects of 0.10 ≥p > 0.05 are also reported here and are denoted with a “∼.” A table reporting the F-values and corresponding p-values for interactions and main effects are listed for the Western blots (Table 1) and all behavior tests analyzed with ANOVA (Table 2).

TABLE 1
www.frontiersin.org

TABLE 1. ANOVA results for Western blots.

TABLE 2
www.frontiersin.org

TABLE 2. Repeated measures ANOVA results for behavior testing.

Results

Increased mTORC1 Activity in Fmr1 KO Mice Normalized by Chronic Rapamycin Treatment

We analyzed lysates of frontal cortex from vehicle- and rapamycin-treated Fmr1 KO and control mice. FMRP expression was absent in all Fmr1 KO mice regardless of treatment (Figure 1A). In Figure 1, we present the results of the effects of genotype and rapamycin treatment on the phosphorylated forms (Figures 1B,E,H,K,N,Q), total (Figures 1C,F,I,L,O,R) and the ratio of phosphorylated to total (Figures 1D,G,J,M,P,S) for the signaling molecules measured. We did not find either an effect of genotype or of treatment on p-mTOR (Figure 1B and Table 1). We also did not find either an effect of genotype or treatment on p-p70S6k (Figure 1E and Table 1). We examined two phosphorylation sites on S6 (235/236 and 240/244), and in both cases, the genotype × treatment interactions were statistically significant (Table 1). Post hoc t-tests indicate that vehicle-treated Fmr1 KO mice had significantly higher p-S6 than vehicle-treated controls (p = 0.010 for 235/236) (p = 0.041 for 240/244). For both sites, rapamycin reduced p-S6 levels in Fmr1 KO mice (p = 0.009 for 235/236) (p = 0.024 for 240/244), but had no effect on controls (Figures 1A,H,K). To examine the mTORC2 pathway, we also found a statistically significant genotype × treatment interaction for p-AKT Ser473 (Table 1). Post hoc t-tests indicate that vehicle-treated Fmr1 KO animals had increased p-AKT relative to vehicle-treated controls (p = 0.02). Rapamycin reduced p-AKT levels in Fmr1 KO mice (p = 0.013), but had no effect on controls (Figures 1A,N). We also examined p-ERK. Although there was no genotype × treatment interaction, we did detect a statistically significant main effect of treatment for both p-ERK and total ERK. Regardless of genotype, rapamycin treatment decreased p-ERK and ERK levels (Figures 1A,Q,R and Table 1).

FIGURE 1
www.frontiersin.org

FIGURE 1. Westerns blots of frontal cortex of Fmr1 KO and control mice on vehicle and rapamycin treatment. (A) Representative Western blot images. (B) p-mTOR levels did not differ among the groups. (C) mTOR levels did not differ among the groups. (D) p-mTOR/Total mTOR did not differ among the groups. (E) p-p70S6k did not differ among the groups. (F) p70S6k did not differ among the groups. (G) p-p70S6k/Total p70S6k did not differ among the groups. (H) The genotype × treatment interaction for pS6 235/236 was statistically significant. Post hoc t-tests revealed that vehicle-treated Fmr1 KO animals had significantly higher p-S6 235/236 (p = 0.002) compared to vehicle-treated controls. This was significantly reduced by rapamycin treatment (p = 0.002). (I) S6 levels did not differ among groups. (J) The genotype × treatment interaction for p-S6 (235/236)/Total S6 approached statistical significance. We looked at individual differences by means of post hoc t-tests and found that the difference between vehicle-treated controls and vehicle-treated Fmr1 KO mice was statistically significant (p = 0.004). (K) The genotype × treatment interaction for p-S6 240/244 was statistically significant. Post hoc t-tests revealed that vehicle-treated Fmr1 KO animals had significantly higher p-S6 240/244 levels compared to vehicle-treated controls (p = 0.010). This was significantly reduced with rapamycin treatment (p = 0.006). (L) Total S6 levels did not differ among the groups. (M) The genotype × treatment interaction for p-S6 (240/244)/Total S6 approached statistical significance. We looked at individual differences by means of post hoc t-tests and found that the difference between vehicle-treated controls and vehicle-treated Fmr1 KO mice was statistically significant (p = 0.016). (N) The genotype × treatment interaction for p-AKT Ser473 was statistically significant. Post hoc t-tests revealed that vehicle-treated Fmr1 KO animals had higher p-AKT compared to vehicle-treated controls (p = 0.020). p-AKT Ser473 levels were reduced in Fmr1 KO animals after rapamycin treatment (p = 0.013). (O) Total AKT levels did not differ among the groups. (P) p-Akt (473)/Akt did not differ among the groups. (Q) The main effect of treatment for p-ERK levels was statistically significant indicating that regardless of genotype, rapamycin reduced p-ERK. (R) The main effect of treatment for ERK levels was statistically significant indicating that regardless of genotype, rapamycin reduced ERK. (S) p-ERK/ERK did not differ among the groups. (B–S) Levels were normalized to total protein in the blot. Values presented are relative to the mean of vehicle-treated control values. Bars represent mean ± SEM. ∼0.05 < p ≤ 0.1, 0.01 ≤ p ≤ 0.05, ∗∗0.001 ≤ p ≤ 0.01 as determined by post hoc t-tests. n = 4 vehicle-treated control, n = 4 rapamycin-treated control, n = 3 vehicle-treated Fmr1 KO, n = 3 rapamycin-treated Fmr1 KO.

Given that p-S6 activity was higher in Fmr1 KO mice and reduced by rapamycin treatment, we hypothesized that rapamycin treatment would ameliorate the behavioral phenotypes in Fmr1 KO mice.

Rapamycin Did Not Alter Hyperactivity in Fmr1 KO Mice

To examine hyperactivity, we conducted open field testing. We found a statistically significant main effect of genotype regardless of treatment, indicating that Fmr1 KO mice were hyperactive compared to controls, as previously reported (Liu et al., 2011; Figure 2 and Table 2). There was also a near statistically significant treatment × epoch interaction (p = 0.054) suggesting that rapamycin may enhance reactivity to the novel environment, regardless of genotype.

FIGURE 2
www.frontiersin.org

FIGURE 2. Rapamycin did not reverse hyperactivity in Fmr1 KO mice. Based on the total distance moved in an open field, there was a main effect of genotype (p = 0.005), indicating that regardless of treatment, Fmr1 KO mice were hyperactive compared to controls. There was also a near significant treatment × epoch interaction (p = 0.054) indicating a potential change in habituation. Points represent mean ± SEM in 26 vehicle-treated control, 23 rapamycin-treated control, 8 vehicle-treated Fmr1 KO, and 21 rapamycin-treated Fmr1 KO.

Rapamycin Increased Anxiety-Like Behavior in Fmr1 KO and Control Mice

To examine anxiety, we analyzed the ratio of distance traveled in the center of the open field to total distance traveled. The main effect of epoch was statistically significant (p < 0.001) indicating that regardless of genotype or treatment, mice became less anxious as the test progressed (Figure 3A and Table 2). Main effects of genotype and treatment approached statistical significance suggesting that anxiety may be lower in Fmr1 KO mice regardless of treatment and that in both genotypes, rapamycin treatment tended to increase anxiety-like behavior.

FIGURE 3
www.frontiersin.org

FIGURE 3. Rapamycin increased anxiety in control and Fmr1 KO mice. (A) Regarding the ratio of distance traveled in the center to total distance traveled in the open field, there was a near significant main effect of genotype (p = 0.083) suggesting that Fmr1 KO mice tended to show a decrease in anxiety. There was also a near significant main effect of treatment (p = 0.081) suggesting that, regardless of genotype, rapamycin may have increased anxiety. Points represent mean ± SEM in 26 vehicle-treated control, 23 rapamycin-treated control, 18 vehicle-treated Fmr1 KO, and 21 rapamycin-treated Fmr1 KO. (B) In the zero maze, there was a significant main effect of genotype (p = 0.001) showing that Fmr1 KO mice spent more time in the open arms compared to control mice. Again, this shows that Fmr1 KO mice have reduced anxiety. There was also a significant main effect of treatment (p = 0.026) showing that, regardless of genotype, rapamycin decreased the time spent in the open arms, indicating that rapamycin increases anxiety. Bars represent mean ± SEM in 27 vehicle-treated control, 28 rapamycin-treated control, 16 vehicle-treated Fmr1 KO, and 19 rapamycin-treated Fmr1 KO.

As another measure of anxiety-like behavior, we tested animals in the zero maze (Figure 3B). In this test, the main effects of both genotype and treatment were statistically significant (Table 2). Zero maze results are in accord with open field behavior. Our results show that regardless of treatment, Fmr1 KO mice spent more time in the open arms indicating that Fmr1 KO mice are less anxious compared to controls as previously reported (Liu et al., 2011). Moreover, regardless of genotype, rapamycin decreased the time spent in the open arms indicating that rapamycin increased anxiety-like behavior in both genotypes.

Rapamycin Did Not Improve Performance on the Passive Avoidance Test in Fmr1 KO Mice

To examine a form of fear learning, we tested mice on passive avoidance (Figure 4). We found a statistically significant main effect of genotype (p = 0.028) (Table 2), indicating that regardless of treatment, Fmr1 KO mice had a lower latency to enter the dark side. The main effect of rapamycin treatment was not statistically significant indicating that rapamycin did not enhance performance on this test.

FIGURE 4
www.frontiersin.org

FIGURE 4. Rapamycin did not reverse deficits on the passive avoidance test in Fmr1 KO mice. In the passive avoidance test, there was a statistically significant main effect of genotype (p = 0.028) indicating that, regardless of treatment, Fmr1 KO mice have a significantly reduced latency to enter the dark side of the passive avoidance apparatus. This suggests impaired learning and memory. This deficit was not affected by rapamycin treatment. Bars represent mean ± SEM for 22 vehicle-treated control, 23 rapamycin-treated control, 15 vehicle-treated Fmr1 KO, and 18 rapamycin-treated Fmr1 KO.

Rapamycin Decreased Sleep Duration in Fmr1 KO and Control Mice

Sleep in the active and inactive phases was assessed by home-cage monitoring. We found a nearly statistically significant genotype × phase interaction (p = 0.062) (Table 2). This is consistent with previous work indicating that decreases in sleep duration occurred primarily in the inactive phase in Fmr1 KO (Saré et al., 2017). We also found a statistically significant main effect of treatment (p = 0.047) (Table 2). These results indicate that rapamycin treatment reduced sleep duration across genotypes and phases (Figure 5).

FIGURE 5
www.frontiersin.org

FIGURE 5. Rapamycin resulted in reduced sleep duration in control and Fmr1 KO mice. (A,B) Activity-based monitoring for sleep detection indicates a near significant genotype × phase interaction (p = 0.062). This suggests that, regardless of treatment, Fmr1 KO mice had reduced sleep duration in the light phase compared to controls. We also found a significant main effect of treatment (p = 0.047) showing that, regardless of phase or genotype, rapamycin resulted in reduced sleep duration. Bars represent mean ± SEM for 32 vehicle-treated control, 34 rapamycin-treated control, 20 vehicle-treated Fmr1 KO, and 20 rapamycin-treated Fmr1 KO.

Rapamycin Impaired Social Behavior in Fmr1 KO and Control Mice

To examine social behavior, we used the three-chambered apparatus to assess sociability and preference for social novelty. In the test of sociability, vehicle (p = 0.0003)- and rapamycin (p = 0.005)-treated control mice and vehicle-treated Fmr1 KO mice (p = 0.02) had a significant preference for the mouse compared to the object, but Fmr1 KO mice on rapamycin treatment did not (Figure 6A). This indicates that rapamycin impaired sociability in Fmr1 KO mice.

FIGURE 6
www.frontiersin.org

FIGURE 6. Rapamycin adversely affected social behavior in both Fmr1 KO and control mice. (A) For sociability, control mice on both vehicle and rapamycin treatment as well as Fmr1 KO mice on vehicle treatment showed a significant preference for interacting with the mouse compared to the object. Fmr1 KO mice on rapamycin treatment did not show a preference. This suggests that rapamycin treatment induced a sociability deficit in Fmr1 KO mice. Bars are means ± SEM in 26 vehicle-treated control, 28 rapamycin-treated control, 17 vehicle-treated Fmr1 KO, and 20 rapamycin-treated Fmr1 KO. (B) For the preference for social novelty, only control animals on vehicle treatment showed a preference for the novel mouse. Control mice on rapamycin treatment did not show a preference indicating that rapamycin induced a social behavior abnormality in control animals. Neither Fmr1 KO animals on vehicle or rapamycin showed a preference for the novel mouse indicating that rapamycin did not rescue the preference for social novelty in Fmr1 KO mice. Bars are means ± SEM in 26 vehicle-treated control, 28 rapamycin-treated control, 17 vehicle-treated Fmr1 KO, and 17 rapamycin-treated Fmr1 KO. p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001 as determined by paired t-tests.

In the test of preference for social novelty, only the control mice on vehicle treatment had a significant preference for the novel mouse (p = 0.003) (Figure 6B). This was abolished with rapamycin treatment. Additionally and as previously reported (Liu et al., 2011), Fmr1 KO animals did not show a preference for the novel mouse. This was not changed with rapamycin treatment (Figure 6B).

Rapamycin Did Not Reverse Audiogenic Seizure Susceptibility in Fmr1 KO Mice

We did not observe audiogenic seizures in either vehicle- or rapamycin-treated control mice (Figures 7A,B). Vehicle-treated Fmr1 KO mice had a 28% seizure incidence (11% wild running, 11% myoclonic convulsions, and 6% respiratory arrest) (Figure 7C). Rapamycin-treated Fmr1 KO had a 37% seizure incidence (11% wild running, 16% myoclonic convulsions, and 11% respiratory arrest) (Figure 7D). There were no statistically significant differences between vehicle and rapamycin-treated Fmr1 KO mice.

FIGURE 7
www.frontiersin.org

FIGURE 7. Rapamycin did not rescue audiogenic seizure susceptibility in Fmr1 KO mice. (A,B) Neither control mice on vehicle (n = 17) or rapamycin treatment (n = 15) had any seizure activity. (C) Fmr1 KO mice on vehicle treatment (n = 18) had a 27.8% seizure incidence. 11.1% were wild running, while 5.6% proceeded all the way to respiratory arrest. (D) Fmr1 KO mice on rapamycin treatment (n = 19) had a 36.8% seizure incidence. 10.5% were wild running, while 10.5% proceeded all the way to respiratory arrest. This indicates that rapamycin was not effective in ameliorating the seizure phenotype in Fmr1 KO mice.

Discussion

The present study is, to our knowledge, the first study of the behavioral effects of chronic rapamycin treatment in Fmr1 KO mice. We found that Fmr1 KO mice have increased levels of p-S6 (a downstream target of mTORC1), and that rapamycin reverses this phenotype. However, rapamycin failed to reverse most of the behavioral phenotypes measured. Moreover, rapamycin exacerbated some of the abnormal behaviors resulting in further decreases in sleep duration and increased deficits in social interaction.

Increased activity of the mTORC1 pathway in the hippocampus of Fmr1 KO mice has been reported previously (Sharma et al., 2010; Bhattacharya et al., 2012; Liu et al., 2012; Busquets-Garcia et al., 2013; Choi et al., 2016). Our present studies focused on the neocortex where we did not find an increase in p-mTOR or p-p70S6K, but we did find that p-S6, the downstream product of mTORC1, was increased at both phosphorylation sites (Ser235/236 and Ser240/244). Though rapamycin treatment reduced p-S6 levels, the lack of changes in p-mTOR and p-p70S6K suggest that rapamycin is reducing phosphorylation of S6 through a mechanism that is independent of mTORC1. This mechanism may be through mTORC2, which is supported by our results showing that rapamycin treatment reduced p-Akt at Ser473 in Fmr1 KO mice. Whereas acute rapamycin is considered a selective mTORC1 inhibitor, chronic rapamycin treatment can also inhibit mTORC2 (Sarbassov et al., 2006). We posit that some of the effects of chronic rapamycin treatment on Fmr1 KO mice may be due to mTORC2 inhibition.

In a recent paper that also examined signaling molecules in cortical lysates from young Fmr1 KO mice (Sawicka et al., 2016), p-mTOR was not increased, but S6 phosphorylation at Ser235/236 was increased via an ERK-dependent kinase (p90S6K); S6 phosphorylation at Ser240/244 (mTOR/p70S6K-dependent) was unchanged. In adult Fmr1 KO mice, this study further showed elevated ERK/p90S6K/S6 signaling in neocortex suggesting ERK/p90S6K (but not mTORC1) signaling dysregulation in neocortex. We did find that rapamycin reduced ERK, but we did not find any baseline genotype differences in p-ERK. It is possible that some of the differences between our present study and the results from Sawicka et al. (2016) could be due to the use of isoflurane anesthesia in the Sawicka et al. (2016) study; isoflurane has been shown to effect changes in translational control signaling pathways (Antila et al., 2017).

The effects of rapamycin treatment on behavior were negative and, in some cases, detrimental. Other studies have shown negative effects of rapamycin on behavior in control animals. In mice, acute rapamycin impaired performance on the Morris water maze (Ehninger et al., 2008), subacute rapamycin impaired performance on object place recognition (Zhou et al., 2013), and chronic rapamycin increased anxiety-like behavior (Russo et al., 2016) and resulted in deficits in social interaction (Reith et al., 2012). Similarly, studies in control rats have also demonstrated negative effects of rapamycin treatment. Acute rapamycin increased anxiety-like behavior (Hadamitzky et al., 2014), and chronic rapamycin treatment impaired performance on tests of learning and memory and increased anxiety-like behavior (Lu et al., 2015). In accord with these detrimental effects, it has been shown that long-term rapamycin treatment in young rats resulted in a decrease in progenitor cells in the dentate gyrus (Lu et al., 2015).

Whereas chronic rapamycin treatment has not been examined previously in Fmr1 KO mice, there have been studies of the effects of acute treatment. In agreement with our results, acute rapamycin treatment in Fmr1 KO mice also showed no effect on audiogenic seizure susceptibility (Osterweil et al., 2010). Moreover, in hippocampal slices, rapamycin treatment did not reverse the increased [35S]methionine/[35S]cysteine incorporation into protein (Osterweil et al., 2010). Another study (Price et al., 2007) addressed sensitization to pain. It was noted that acute rapamycin inhibited formalin- and DHPG-induced nociception in control animals but had no effect in Fmr1 KO mice (Price et al., 2007), suggesting that the role of mTORC1 in nociception is altered in the absence of FMRP.

Numerous studies in Fmr1 KO mice have addressed targets upstream of mTORC1. For example, targeting elements of the phosphoinositide 3-kinase (PI3K) pathway was efficacious in FXS models (Gross et al., 2015; Gantois et al., 2017; Monyak et al., 2017). Reducing the expression of PIKE rescued phenotypes in Fmr1 KO mice, but PIKE reduction is thought, at least in part, to exert some of its effects in an mTOR-independent manner (Gross et al., 2015) Metformin, an AMPK activator, rescued FXS behavioral symptoms in both Drosophila and Fmr1 KO mice (Gantois et al., 2017; Monyak et al., 2017). AMPK can act as an mTORC1 inhibitor (Xu et al., 2012), but AMPK has many other targets in addition to mTORC1 (Canto and Auwerx, 2010). Moreover, there are AMPK-independent effects of metformin suggesting additional mechanisms of action that have not been identified (Rena et al., 2013). Downstream of the mTORC1 pathway, genetic reduction of p70S6K1 reversed many deficits seen in Fmr1 KO mice including elevated hippocampal protein synthesis, dendritic spine abnormalities, and deficits in learning and memory and social novelty interaction (Bhattacharya et al., 2012). Whereas these results suggested that targeting the mTORC1 pathway would be beneficial in FXS, results of our study in which we used pharmacological inhibition of mTORC1 do not support this idea.

It is possible that mTORC1 mediates too many effects to be a good drug target. Although clearly this is not the case in mouse models of TSC. TSC mice exhibit many similar behavioral phenotypes to Fmr1 KO mice including social behavior abnormalities and learning and memory deficits, and these were rescued by chronic rapamycin treatment (Ehninger et al., 2008; Reith et al., 2012; Sato et al., 2012; Tsai et al., 2012). This suggests that although the mTORC1 pathway is implicated in both disorders with similar phenotypic outcomes, the molecular pathology underlying these disorders is quite different. Supporting this notion is the fact that a genetic cross between Fmr1 KO and Tsc2+/- mice normalized long-term depression as well as performance in a contextual fear conditioning task (Auerbach et al., 2011).

Our results collectively indicate that rapamycin treatment is not efficacious, and in some respects, is detrimental in Fmr1 KO mice. Other pathways should be explored for mechanism-based treatment strategies in Fmr1 KO mice.

Author Contributions

RS designed the study, performed the experiments, analyzed the data, interpreted the data, and drafted the manuscript. AS, IL, AC, and IM performed the experiments. AL analyzed the data. CS performed the experiments. CBS designed the study, interpreted the data, and drafted the manuscript. All authors have read and approved the final version of the manuscript.

Funding

This research was supported by the Intramural Research Program of the NIMH (ZIA MH000889). RS was also supported by a FRAXA Postdoctoral Fellowship.

Conflict of Interest Statement

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

Acknowledgments

The authors would like to thank Zengyan Xia for the genotyping of the mice. They also thank the NIH Fellows Editorial Board for editorial assistance.

Abbreviations

AMPK, adenosine monophosphate-activated protein kinase; ASD, autism spectrum disorders; FXS, Fragile X syndrome; KO, knockout; mTOR, mammalian target of rapamycin; PI3K, phosphoinositide-3 kinase; PIKE, PI3K enhancer; SEM, standard error of the mean; TSC, tuberous sclerosis complex.

References

Antila, H., Ryazantseva, M., Popova, D., Sipila, P., Guirado, R., Kohtala, S., et al. (2017). Isoflurane produces antidepressant effects and induces TrkB signaling in rodents. Sci. Rep. 7:7811. doi: 10.1038/s41598-017-08166-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Auerbach, B. D., Osterweil, E. K., and Bear, M. F. (2011). Mutations causing syndromic autism define an axis of synaptic pathophysiology. Nature 480, 63–68. doi: 10.1038/nature10658

PubMed Abstract | CrossRef Full Text | Google Scholar

Bailey, D. B. Jr., Mesibov, G. B., Hatton, D. D., Clark, R. D., Roberts, J. E., and Mayhew, L. (1998). Autistic behavior in young boys with fragile X syndrome. J. Autism Dev. Disord. 28, 499–508. doi: 10.1023/A:1026048027397

CrossRef Full Text | Google Scholar

Bhattacharya, A., Kaphzan, H., Alvarez-Dieppa, A. C., Murphy, J. P., Pierre, P., and Klann, E. (2012). Genetic removal of p70 S6 kinase 1 corrects molecular, synaptic, and behavioral phenotypes in fragile X syndrome mice. Neuron 76, 325–337. doi: 10.1016/j.neuron.2012.07.022

PubMed Abstract | CrossRef Full Text | Google Scholar

Busquets-Garcia, A., Gomis-Gonzalez, M., Guegan, T., Agustin-Pavon, C., Pastor, A., Mato, S., et al. (2013). Targeting the endocannabinoid system in the treatment of fragile X syndrome. Nat. Med. 19, 603–607. doi: 10.1038/nm.3127

PubMed Abstract | CrossRef Full Text | Google Scholar

Canto, C., and Auwerx, J. (2010). AMP-activated protein kinase and its downstream transcriptional pathways. Cell. Mol. Life Sci. 67, 3407–3423. doi: 10.1007/s00018-010-0454-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Choi, C. H., Schoenfeld, B. P., Bell, A. J., Hinchey, J., Rosenfelt, C., Gertner, M. J., et al. (2016). Multiple drug treatments that increase cAMP signaling restore long-term memory and aberrant signaling in fragile X syndrome models. Front. Behav. Neurosci. 10:136. doi: 10.3389/fnbeh.2016.00136

PubMed Abstract | CrossRef Full Text | Google Scholar

Ehninger, D., Han, S., Shilyansky, C., Zhou, Y., Li, W., Kwiatkowski, D. J., et al. (2008). Reversal of learning deficits in a Tsc2+/- mouse model of tuberous sclerosis. Nat. Med. 14, 843–848. doi: 10.1038/nm1788

PubMed Abstract | CrossRef Full Text | Google Scholar

Gantois, I., Khoutorsky, A., Popic, J., Aguilar-Valles, A., Freemantle, E., Cao, R., et al. (2017). Metformin ameliorates core deficits in a mouse model of fragile X syndrome. Nat. Med. 23, 674–677. doi: 10.1038/nm.4335

PubMed Abstract | CrossRef Full Text | Google Scholar

Gross, C., Chang, C. W., Kelly, S. M., Bhattacharya, A., Mcbride, S. M., Danielson, S. W., et al. (2015). Increased expression of the PI3K enhancer PIKE mediates deficits in synaptic plasticity and behavior in fragile X syndrome. Cell Rep. 11, 727–736. doi: 10.1016/j.celrep.2015.03.060

PubMed Abstract | CrossRef Full Text | Google Scholar

Hadamitzky, M., Herring, A., Keyvani, K., Doenlen, R., Krugel, U., Bosche, K., et al. (2014). Acute systemic rapamycin induces neurobehavioral alterations in rats. Behav. Brain Res. 273, 16–22. doi: 10.1016/j.bbr.2014.06.056

PubMed Abstract | CrossRef Full Text | Google Scholar

Hagerman, R. J., Jackson, A. W. III, Levitas, A., Rimland, B., and Braden, M. (1986). An analysis of autism in fifty males with the fragile X syndrome. Am. J. Med. Genet. 23, 359–374. doi: 10.1002/ajmg.1320230128

CrossRef Full Text | Google Scholar

Jin, P., and Warren, S. T. (2003). New insights into fragile X syndrome: from molecules to neurobehaviors. Trends Biochem. Sci. 28, 152–158. doi: 10.1016/S0968-0004(03)00033-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Kazdoba, T. M., Leach, P. T., Silverman, J. L., and Crawley, J. N. (2014). Modeling fragile X syndrome in the Fmr1 knockout mouse. Intractable Rare Dis. Res. 3, 118–133. doi: 10.5582/irdr.2014.01024

PubMed Abstract | CrossRef Full Text | Google Scholar

Kooy, R. F. (2003). Of mice and the fragile X syndrome. Trends Genet. 19, 148–154. doi: 10.1016/S0168-9525(03)00017-9

CrossRef Full Text | Google Scholar

Kronk, R., Bishop, E. E., Raspa, M., Bickel, J. O., Mandel, D. A., and Bailey, D. B. Jr. (2010). Prevalence, nature, and correlates of sleep problems among children with fragile X syndrome based on a large scale parent survey. Sleep 33, 679–687. doi: 10.1093/sleep/33.5.679

PubMed Abstract | CrossRef Full Text | Google Scholar

Lipton, J. O., and Sahin, M. (2014). The neurology of mTOR. Neuron 84, 275–291. doi: 10.1016/j.neuron.2014.09.034

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, Z. H., Chuang, D. M., and Smith, C. B. (2011). Lithium ameliorates phenotypic deficits in a mouse model of fragile X syndrome. Int. J. Neuropsychopharmacol. 14, 618–630. doi: 10.1017/S1461145710000520

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, Z. H., Huang, T., and Smith, C. B. (2012). Lithium reverses increased rates of cerebral protein synthesis in a mouse model of fragile X syndrome. Neurobiol. Dis. 45, 1145–1152. doi: 10.1016/j.nbd.2011.12.037

PubMed Abstract | CrossRef Full Text | Google Scholar

Loesch, D. Z., Huggins, R. M., Bui, Q. M., Epstein, J. L., Taylor, A. K., and Hagerman, R. J. (2002). Effect of the deficits of fragile X mental retardation protein on cognitive status of fragile x males and females assessed by robust pedigree analysis. J. Dev. Behav. Pediatr. 23, 416–423. doi: 10.1097/00004703-200212000-00004

CrossRef Full Text | Google Scholar

Lu, Z., Liu, F., Chen, L., Zhang, H., Ding, Y., Liu, J., et al. (2015). Effect of chronic administration of low dose rapamycin on development and immunity in young rats. PLOS ONE 10:e0135256. doi: 10.1371/journal.pone.0135256

PubMed Abstract | CrossRef Full Text | Google Scholar

Miano, S., Bruni, O., Elia, M., Scifo, L., Smerieri, A., Trovato, A., et al. (2008). Sleep phenotypes of intellectual disability: a polysomnographic evaluation in subjects with Down syndrome and Fragile-X syndrome. Clin. Neurophysiol. 119, 1242–1247. doi: 10.1016/j.clinph.2008.03.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Mineur, Y. S., Sluyter, F., De Wit, S., Oostra, B. A., and Crusio, W. E. (2002). Behavioral and neuroanatomical characterization of the Fmr1 knockout mouse. Hippocampus 12, 39–46. doi: 10.1002/hipo.10005

PubMed Abstract | CrossRef Full Text | Google Scholar

Monyak, R. E., Emerson, D., Schoenfeld, B. P., Zheng, X., Chambers, D. B., Rosenfelt, C., et al. (2017). Insulin signaling misregulation underlies circadian and cognitive deficits in a Drosophila fragile X model. Mol. Psychiatry 22, 1140–1148. doi: 10.1038/mp.2016.51

PubMed Abstract | CrossRef Full Text | Google Scholar

Osterweil, E. K., Krueger, D. D., Reinhold, K., and Bear, M. F. (2010). Hypersensitivity to mGluR5 and ERK1/2 leads to excessive protein synthesis in the hippocampus of a mouse model of fragile X syndrome. J. Neurosci. 30, 15616–15627. doi: 10.1523/JNEUROSCI.3888-10.2010

PubMed Abstract | CrossRef Full Text | Google Scholar

Penagarikano, O., Mulle, J. G., and Warren, S. T. (2007). The pathophysiology of fragile x syndrome. Annu. Rev. Genomics Hum. Genet. 8, 109–129. doi: 10.1146/annurev.genom.8.080706.092249

CrossRef Full Text | Google Scholar

Price, T. J., Rashid, M. H., Millecamps, M., Sanoja, R., Entrena, J. M., and Cervero, F. (2007). Decreased nociceptive sensitization in mice lacking the fragile X mental retardation protein: role of mGluR1/5 and mTOR. J. Neurosci. 27, 13958–13967. doi: 10.1523/JNEUROSCI.4383-07.2007

PubMed Abstract | CrossRef Full Text | Google Scholar

Qin, M., Kang, J., and Smith, C. B. (2002). Increased rates of cerebral glucose metabolism in a mouse model of fragile X mental retardation. Proc. Natl. Acad. Sci. U.S.A. 99, 15758–15763. doi: 10.1073/pnas.242377399

PubMed Abstract | CrossRef Full Text | Google Scholar

Reith, R. M., Mckenna, J., Wu, H., Hashmi, S. S., Cho, S. H., Dash, P. K., et al. (2012). Loss of Tsc2 in Purkinje cells is associated with autistic-like behavior in a mouse model of tuberous sclerosis complex. Neurobiol. Dis. 51, 93–103. doi: 10.1016/j.nbd.2012.10.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Rena, G., Pearson, E. R., and Sakamoto, K. (2013). Molecular mechanism of action of metformin: old or new insights? Diabetologia 56, 1898–1906. doi: 10.1007/s00125-013-2991-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Russo, E., Leo, A., Crupi, R., Aiello, R., Lippiello, P., Spiga, R., et al. (2016). Everolimus improves memory and learning while worsening depressive- and anxiety-like behavior in an animal model of depression. J. Psychiatr. Res. 78, 1–10. doi: 10.1016/j.jpsychires.2016.03.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Sarbassov, D. D., Ali, S. M., Sengupta, S., Sheen, J. H., Hsu, P. P., Bagley, A. F., et al. (2006). Prolonged rapamycin treatment inhibits mTORC2 assembly and Akt/PKB. Mol. Cell 22, 159–168. doi: 10.1016/j.molcel.2006.03.029

PubMed Abstract | CrossRef Full Text | Google Scholar

Saré, R. M., Harkless, L., Levine, M., Torossian, A., Sheeler, C. A., and Smith, C. B. (2017). Deficient sleep in mouse models of fragile X syndrome. Front. Mol. Neurosci. 10:280. doi: 10.3389/fnmol.2017.00280

PubMed Abstract | CrossRef Full Text | Google Scholar

Saré, R. M., Levine, M., Hildreth, C., Picchioni, D., and Smith, C. B. (2015). Chronic sleep restriction during development can lead to long-lasting behavioral effects. Physiol. Behav. 155, 208–217. doi: 10.1016/j.physbeh.2015.12.019

PubMed Abstract | CrossRef Full Text | Google Scholar

Saré, R. M., Levine, M., and Smith, C. B. (2016). Behavioral phenotype of Fmr1 knock-out mice during active phase in an altered light/dark cycle. eNeuro 3:ENEURO.0035-16.2016. doi: 10.1523/ENEURO.0035-16.2016

PubMed Abstract | CrossRef Full Text | Google Scholar

Sato, A., Kasai, S., Kobayashi, T., Takamatsu, Y., Hino, O., Ikeda, K., et al. (2012). Rapamycin reverses impaired social interaction in mouse models of tuberous sclerosis complex. Nat. Commun. 3:1292. doi: 10.1038/ncomms2295

PubMed Abstract | CrossRef Full Text | Google Scholar

Sawicka, K., Pyronneau, A., Chao, M., Bennett, M. V., and Zukin, R. S. (2016). Elevated ERK/p90 ribosomal S6 kinase activity underlies audiogenic seizure susceptibility in fragile X mice. Proc. Natl. Acad. Sci. U.S.A. 113, E6290–E6297. doi: 10.1073/pnas.1610812113

PubMed Abstract | CrossRef Full Text | Google Scholar

Sharma, A., Hoeffer, C. A., Takayasu, Y., Miyawaki, T., Mcbride, S. M., Klann, E., et al. (2010). Dysregulation of mTOR signaling in fragile X syndrome. J. Neurosci. 30, 694–702. doi: 10.1523/JNEUROSCI.3696-09.2010

CrossRef Full Text | Google Scholar

Spencer, C. M., Alekseyenko, O., Serysheva, E., Yuva-Paylor, L. A., and Paylor, R. (2005). Altered anxiety-related and social behaviors in the Fmr1 knockout mouse model of fragile X syndrome. Genes Brain Behav. 4, 420–430. doi: 10.1111/j.1601-183X.2005.00123.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Tremblay, F., Perreault, M., Klaman, L. D., Tobin, J. F., Smith, E., and Gimeno, R. E. (2007). Normal food intake and body weight in mice lacking the G protein-coupled receptor GPR39. Endocrinology 148, 501–506. doi: 10.1210/en.2006-1275

PubMed Abstract | CrossRef Full Text | Google Scholar

Tsai, P. T., Hull, C., Chu, Y., Greene-Colozzi, E., Sadowski, A. R., Leech, J. M., et al. (2012). Autistic-like behavior and cerebellar dysfunction in Purkinje cell Tsc1 mutant mice. Nature 488, 647–651. doi: 10.1038/nature11310

PubMed Abstract | CrossRef Full Text | Google Scholar

Verkerk, A. J., Pieretti, M., Sutcliffe, J. S., Fu, Y. H., Kuhl, D. P., Pizzuti, A., et al. (1991). Identification of a gene (FMR-1) containing a CGG repeat coincident with a breakpoint cluster region exhibiting length variation in fragile X syndrome. Cell 65, 905–914. doi: 10.1016/0092-8674(91)90397-H

PubMed Abstract | CrossRef Full Text | Google Scholar

Xu, J., Ji, J., and Yan, X. H. (2012). Cross-talk between AMPK and mTOR in regulating energy balance. Crit. Rev. Food Sci. Nutr. 52, 373–381. doi: 10.1080/10408398.2010.500245

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhou, M., Li, W., Huang, S., Song, J., Kim, J. Y., Tian, X., et al. (2013). mTOR Inhibition ameliorates cognitive and affective deficits caused by Disc1 knockdown in adult-born dentate granule neurons. Neuron 77, 647–654. doi: 10.1016/j.neuron.2012.12.033

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: Fragile X, rapamycin, mTORC1, hyperactivity, anxiety, social behavior, learning and memory, sleep

Citation: Saré RM, Song A, Loutaev I, Cook A, Maita I, Lemons A, Sheeler C and Smith CB (2018) Negative Effects of Chronic Rapamycin Treatment on Behavior in a Mouse Model of Fragile X Syndrome. Front. Mol. Neurosci. 10:452. doi: 10.3389/fnmol.2017.00452

Received: 04 October 2017; Accepted: 22 December 2017;
Published: 12 January 2018.

Edited by:

Regina Dahlhaus, University of Erlangen-Nuremberg, Germany

Reviewed by:

Mustafa Sahin, Boston Children’s Hospital, Harvard University, United States
Michael R. Akins, Drexel University, United States

Copyright © 2018 Saré, Song, Loutaev, Cook, Maita, Lemons, Sheeler and Smith. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Carolyn B. Smith, beebe@mail.nih.gov

Download