Skip to main content

A randomized double-blind, placebo-controlled trial of ganaxolone in children and adolescents with fragile X syndrome



Gamma-aminobutyric acid (GABA) system deficits are integral to the pathophysiologic development of fragile X syndrome (FXS). Ganaxolone, a GABAA receptor positive allosteric modulator, is hypothesized to improve symptoms such as anxiety, hyperactivity, and attention deficits in children with FXS.


This study was a randomized, double-blind, placebo-controlled, crossover trial of ganaxolone in children with FXS, aged 6–17 years.


Sixty-one participants were assessed for eligibility, and 59 were randomized to the study. Fifty-five participants completed at least the first arm and were included in the intention-to-treat analysis; 51 participants completed both treatment arms. There were no statistically significant improvements observed on the primary outcome measure (Clinical Global Impression-Improvement), the key secondary outcome measure (Pediatric Anxiety Rating Scale-R), or any other secondary outcome measures in the overall study population. However, post-hoc analyses revealed positive trends in areas of anxiety, attention, and hyperactivity in participants with higher baseline anxiety and low full-scale IQ scores. No serious adverse events (AEs) occurred, although there was a significant increase in the frequency and severity of AEs related to ganaxolone compared to placebo.


While ganaxolone was found to be safe, there were no significant improvements in the outcome measures in the overall study population. However, ganaxolone in subgroups of children with FXS, including those with higher anxiety or lower cognitive abilities, might have beneficial effects.

Trial registration, NCT01725152


Fragile X syndrome (FXS) is the most common inherited form of intellectual disability, with prevalence rates estimated at 1 in 4000 males and 1 in 8000 females [1]. It is characterized by a wide spectrum of problems including attention deficits, anxiety, hyperactivity, and autism spectrum disorder (ASD). The etiology of FXS is due to a cytosine-guanine-guanine (CGG) repeat expansion (>200 repeats) in the FMR1 gene leading to methylation and a reduction or absence of its product, fragile X mental retardation protein (FMRP). Females typically have less severe symptoms compared to males [2] due to the second X chromosome potentially contributing to an appreciable amount of FMRP, attenuating the behavioral and cognitive deficits in FXS.

FMRP is heavily expressed in neuronal tissue [3] and affects the stability, localization, and translation of hundreds of mRNAs [4]. Consequently, its absence leads to the dysregulation of several molecular pathways. For example, the metabotropic glutamate receptor 5 pathway (mGluR) is overactive in the absence of FMRP leading to excessive mGluR-mediated long-term depression (LTD) [5]. This knowledge has paved the way for the development of targeted treatments, and preclinical trials using mGluR5 negative allosteric modulators have successfully rescued the FXS phenotype in animal models [6]. Controlled trials in human participants, however, have failed to demonstrate efficacy [7,8,9,10].

Another promising avenue for targeted treatments in FXS is the gamma-aminobutyric acid (GABA) system, which provides inhibitory control in the central nervous system (CNS). GABAergic dysfunction has been demonstrated in both animal models and human patients [11,12,13,14,15,16], and this is believed to contribute to many of the behavioral problem characteristics of FXS [17]. The GABA system acts through two main classes of receptors: GABAA and GABAB. GABAA receptors are comprised of multiple subunits assembled into subtypes with unique physiological characteristics and expression patterns throughout the CNS (as reviewed in [17]). Extrasynaptic GABAA receptor subtypes containing a δ-subunit—which provide persistent tonic inhibitory control compared to fast phasic input from other receptor subtypes—are particularly decreased in the neocortex, hippocampus, and cerebellum of the Fmr1 knock out (KO) mouse. Positron emission tomography (PET) studies have also shown decreased GABAA receptor availability in the human FXS brain [14], with animal studies suggesting these deficits are more pronounced at younger ages [15, 18,19,20].

Trials of GABAA agonists in FXS animal models have shown positive effects at the cellular and behavioral levels. Treatment with alphaxolone, a neuroactive steroid that targets GABAA receptors, reduced anxiety and rescued audiogenic seizures in the Fmr1 KO mouse [21]. Gaboxadol—a GABAA receptor superagonist that specifically targets receptors containing the δ-subunit—restored neuronal excitability in the amygdala to normal levels [22] and has mitigated hyperactive behaviors and prepulse inhibition (PPI) deficits [23]. Ganaxolone, a β-methylated synthetic analog of the neuroactive steroid allopregnanolone, acts as a positive allosteric modulator of GABAA receptors [24,25,26], with its greatest effects on GABAA receptor subtypes containing the δ-subunit. Additionally, because of the β-methylation, ganaxolone is not broken down to additional active metabolites and thus lacks systemic hormonal side effects [24]. Following oral administration, the terminal half-life of ganaxolone is approximately 20 h [27]. It is a known anxiolytic in animal models [28] and has been well tolerated in both adult and pediatric populations in the treatment of epilepsy and traumatic stress disorder [29, 30]. Preclinical trials of ganaxolone in FXS animal models showed a reduction of audiogenic seizures [21] and a dose-dependent reduction in stereotypic and repetitive behavior [15]. These background data led to this investigative study to determine the safety and efficacy of ganaxolone in children with FXS ages 6–17 years old, as well as to measure the effects of ganaxolone on attention, anxiety, hyperactivity, and social behavior in this population.


Experimental design

This was a double-blind, crossover-controlled treatment trial of ganaxolone, a rational translational treatment for children with FXS. Its objective was to assess if ganaxolone was safe to use in children with FXS aged 6–17 years and determine the effect of ganaxolone on behavior. Participant inclusion criteria were a molecular diagnosis of FXS (more than 200 CGG repeats methylated or partially methylated in the FMR1 gene), age at consent between 6 to 17 years, and willingness to participate in the study. Both male and female participants were included in the study. Sexually active females of child bearing potential were required to have a medically acceptable method of birth control and a negative pregnancy test at initial screening. Exclusion criteria included concomitant use of steroids; active CNS infection or comorbid degenerative neurological disease; aspartate aminotransferase (AST), alanine aminotransferase (ALT), or total bilirubin greater than four times the upper limit of normal (ULN); history of status epilepticus or exposure to any other investigational drug within 30 days prior to randomization.

Participants were recruited through local advertisements and the University of California, Davis (UCD) MIND Institute from November 2012 to June 2015. Potential participants were screened by telephone using a questionnaire for inclusion and exclusion criteria. Those who met all criteria were scheduled for a baseline visit. All families signed an informed consent that was reviewed by the UCD Institutional Review Boards (IRBs). Recruitment at the Belgium site occurred from November 2014 to April 2015 via the Antwerp and Leuven University Hospitals and the Belgian and Dutch fragile X patient organizations. The last participants completed the study in October 2015.

The study was designed to have 90% power to detect a modest effect size of 0.6 on the primary outcome measure (CGI-I) at level 0.05. A total of 60 patients were required in a two-treatment crossover design. There are two important aspects to the sample size design: (1) the variation in outcome (CGI-I) measurements and (2) the change or improvement in the outcome between treatment groups that is clinically meaningful. Our design assumptions were that (1) the standard deviation in difference of CGI-I was 1.5 and (2) that we aimed to detect an average 1-point improvement on the CGI-I between treatment groups. These assumptions translate to an effect size of 0.67, and our study was designed to detect an effect size of 0.6. With respect to the CGI-I outcome, a 1-point improvement on average may be going from “no change” to “minimally improved,” for instance. The study design and outcome measures used between UCD and Belgium were similar with the exception of a 1-week difference in duration of stable dose of medication during each arm of the study. In total, participants at the UCD site received 12 weeks of treatment (2-week up-titration and 4-week stable dose per arm) with 1-week down-titration and 1-week washout between treatment arms. Participants at the Belgium site received 10 weeks of treatment (2-week up-titration and 3-week stable dose per arm) with 1-week down-titration and 1-week washout period between treatment arms (Fig. 1). Based on the pharmacokinetics half-life of ganaxolone, a 1-week washout was considered sufficient for ganaxolone to be effectively eliminated from the subject. Subject evaluations took place at baseline and at the end of each treatment period. For some select assessment measures, evaluation also occurred at the mid-period to allow for additional measurements of key study outcomes.

Fig. 1

Outline of the study design

Study drug randomization was completed through the UCD Medical Center Investigational Drug Service and the Pharmacy of the Antwerp University Hospital, independent of the study team. The research teams were blinded until the last participant completed the study. Study drug was prescribed to participants, administered as an oral suspension, in increasing increments of 9 mg/kg/day until a maximum tolerated dose was reached. The maximum allowable dose was 36 mg/kg/day or a maximum of 1800 mg a day. The placebo suspension consisted of the same components except ganaxolone.

Medication compliance was monitored through daily dosing diaries and compared with the amount of remaining drug at each visit. Safety assessments included vital signs, physical exams completed by study physicians, electrocardiogram evaluations, urinalysis, and blood labs including a comprehensive metabolic panel and complete blood count with differential at the beginning and end of each treatment period. Sparse samples of plasma were obtained to determine ganaxolone levels.

Baseline assessments included intelligence testing (Stanford-Binet Intelligence Scales; Wechsler Intelligence Scale for Children (WISC-III); Wechsler Preschool and Primary Scale of Intelligence (WPPSI-III); Wechsler Nonverbal Scale of Ability; Bayley Scales of Infant Development II (BSID-II-NL); or the Snijders-Oomen Non-Verbal Intelligence Test (SON-R; [31]); Autism Diagnostic Observation Schedule (ADOS); Diagnostic and Statistical Manual of Mental Disorders, Text Revision IV (DSM-IV) checklist; and Clinical Global Impression-Severity (CGI-S)).

The primary outcome measure was the Clinical Global Impression-Improvement (CGI-I). The key secondary outcome measure was the Pediatric Anxiety Rating Scale-R (PARS-R; [32]). Other study assessments, administered at baseline and follow-up visits, included the Visual Analogue Scale (VAS) with pre-specified target behaviors of anxiety, attention, hyperactivity, sociability, language, and stereotypic behavior; Anxiety, Depression and Mood Scale (ADAMS; [33]); Aberrant Behavior Checklist-Community Edition (ABC-C), ABC-C FXS algorithm (ABC-CFXS) subscales [34]; and Swanson, Nolan and Pelham Questionnaire, 4th edition (SNAP IV; [35]).

Statistical analysis

Efficacy was assessed via a linear mixed-effect (LME) model for repeated measures in a ganaxolone/placebo, 2-period crossover trial with primary endpoint at the end of the period. The model terms included treatment, time, treatment-by-time interaction, period, treatment-by-period interaction, and baseline measurement if available. Estimation was based on restricted maximum likelihood, and the test denominator degrees of freedom was based on the Kenward-Roger approximation. An unstructured within-subject covariance was used. Potential carryover effect was examined with treatment × period interaction in the model. Analysis of secondary measures follows the same approach with no adjustments for multiplicity. In post hoc analyses, we examined treatment effects with respect to primary and secondary outcomes in five post hoc analyses that restrict to participants (1) with ASD, (2) with very low intellectual functioning (full scale IQ ≤ 45), (3) younger children (ages 6–9), (4) with higher baseline anxiety (≥13 on baseline PARS-R total score), and (5) on concomitant medications minocycline, sertraline, or aripiprazole. All tests were conducted at significance level of 0.05. Due to the large number of secondary measures and post hoc analyses and because these analyses are considered exploratory, we reported results with p < 0.1 for all other secondary measures to improve readability of the tables of results. Characteristics of participants in each treatment sequence were compared using t test and Fisher’s exact test for continuous and categorical variables, respectively. AEs were summarized by type and severity. We compared prevalence of any moderate/severe AEs, drug-related AEs, and resolution of AEs on a per-person basis using generalized linear mixed model accounting for repeated measurements across period; analyses based on the count of AEs as the outcome resulted in the same conclusion (results not reported). Analyses were implemented in SAS ® software Version 9.4 (SAS Institute Inc.; Cary, NC USA).


Demographics and subject disposition

Sixty-one participants were assessed for eligibility, 59 of which were randomized into the two-treatment sequence (Fig. 2). Forty-eight participants were from the UCD site, and 11 from the University Hospital Antwerp, Belgium site. Fifty-five participants (90.2%) completed at least the first period of the study and were included in the modified intention-to-treat (ITT) population analysis of efficacy. This is not strictly an ITT population because 4 subjects randomized and dropped out at the start of the study did not have outcome data for analysis. This included one subject who did not cross over to the placebo treatment after receiving ganaxolone (i.e., received ganaxolone in both periods due to pharmacy error) and a second subject who intended to withdraw but continued on to complete the last visit while on unstable dose. Fifty-one participants (86.4%) completed the second period.

Fig. 2

Consort diagram. Disposition of study participants. The intention-to-treat population consisted of all participants who had at least one post-baseline measurement on the primary outcome (CGI-I) and received at least one dose of medication (n = 55)

The demographic characteristics of the 59 patients are shown in Table 1. There was no significant difference between the two treatment sequences with respect to demographic characteristics. The majority of participants in both treatment sequences were boys, of white race, not Hispanic or Latino, taking concomitant medications (listed in Table 1; 93% in both groups), and an average age of 11.3 years (placebo-ganaxolone) and 10.6 years (ganaxolone-placebo) at baseline visit.

Table 1 Demographic and clinical characteristics of 59 participants, randomly assigned to placebo-ganaxolone and ganaxolone-placebo

Primary outcome measure

There was no statistically significant difference in the CGI-I for ganaxolone treatment (3.4 ± 0.13) compared to placebo (3.5 ± 0.13). See details in Table 2 and Fig. 3, where the distribution of CGI-I score at end of the treatment is presented. The treatment × period interaction was not significant; thus, the data do not support a possible carryover effect. Because the majority of participants (44 of 55) for the primary efficacy analysis were from UCD, we also examined robustness of the reported results based on the data from the UCD site alone. The overall results and conclusions remained the same.

Table 2 Primary and secondary outcome analysis
Fig. 3

Distribution of Clinical Global Impression-Improvement (CGI-I) Score at end of treatment. Comparison of CGI-I results between ganaxolone and placebo treatment arms in intention-to-treat population (n = 55). There was no statistically significant difference in CGI-I scores between treatment arms (p = 0.45)

Secondary outcome measures

The key secondary outcome measure was the PARS-R, which measured the number, frequency, and severity of anxiety symptoms. No statistical difference was found between ganaxolone and placebo for the PARS-R total score.

The other secondary outcome measures included the VAS, ADAMS, ABC-C, ABC-CFX subscales [34], and SNAP-IV. For all tests, a lower score indicates an improvement, except for the VAS where a higher score corresponds with a reduced severity of the target behavior. For the ADAMS, the depressed mood subscore was higher at the end of ganaxolone treatment than placebo periods (3.5 ± 0.32 vs. 2.6 ± 0.32, p = 0.01). Itemized analysis for the ADAMS depressed mood subscore revealed that the difference was mainly attributed to increased sleep (ganaxolone 0.6 ± 0.10 vs. placebo 0.2 ± 0.10, p = 0.01) and less energy (ganaxolone 0.6 ± 0.08 vs. placebo 0.4 ± 0.08, p = 0.03). No other measurement showed statistically significant difference between ganaxolone treatment and placebo periods. Details are given in Table 2.

Safety and tolerability of ganaxolone

There were 334 adverse events (AEs) reported. The top three types of AEs were upper respiratory infection, fatigue, and drowsiness. Details of the types of AEs are provided in Table 3. Characteristics of AEs by severity, relation to drug, AE status (whether ongoing), and serious AEs are also presented in Table 3. No serious AEs were reported. The vast majority of AEs was mild and with status “recovered.” Among participants reporting AEs, participants receiving ganaxolone reported more moderate/severe AEs than placebo (60 vs. 33%, p = 0.01). Also, more drug-related AEs were reported in participants during ganaxolone period than placebo (83 vs. 57%, p = 0.01). No significant difference in the resolution status of AEs was found between participants during ganaxolone and placebo periods.

Table 3 Characteristics of adverse events during ganaxolone and placebo periods

Post hoc analyses

Participants with higher baseline anxiety

Because anxiety is a central hallmark of FXS, we were interested on whether participants with an overall lower level of anxiety would show little improvement in anxiety scores and thus obscure the potential positive effects in higher anxious participants. We conducted a post hoc analysis for participants with higher level of anxiety at baseline, defined as baseline PARS-R greater than or equal to 13 (median score of study population). For patients with PARS-R ≥ 13 (n = 29) at baseline, we found no statistically significant difference with respect to the primary and key secondary outcomes between ganaxolone and placebo. For other secondary measures, significance in higher average VAS scores, indicating improvement, were observed for ganaxolone compared to placebo periods with respect to anxiety (5.4 ± 0.32 vs. 4.2 ± 0.31, p = 0.02) as well as a positive trend in attention (4.7 ± 0.32 vs. 4.0 ± 0.30, p = 0.08). Also, lower scores, demonstrating improvement, were reported for participants receiving ganaxolone compared to placebo in manic/hyperactive behavior (7.4 ± 0.54 vs. 8.7 ± 0.49, p = 0.06) and general anxiety improvements (7.3 ± 0.67 vs. 9.7 ± 0.67, p = 0.04) in ADAMS, and in hyperactivity (10.8 ± 0.86 vs. 13.3 ± 0.79, p = 0.06), and social avoidance (3.2 ± 0.30 vs. 4.1 ± 0.30, p = 0.05) in ABC-CFX. Differences in outcomes at the end of the treatment periods (ganaxolone-placebo), adjusted for baseline measurement along with 95% confidence intervals are given in Fig. 4a; 95% CIs are displayed as horizontal lines, no difference indicated by the vertical line at zero, and difference in outcomes between treatment periods indicated by the square marks.

Fig. 4

Post hoc analyses of primary and secondary measures. Post hoc analysis in subpopulations of children with FXS. Difference at end of treatment periods, adjusted for baseline (square), and 95% confidence interval (line). Positive scores on the VAS indicate improvement. For all other measures, negative scores indicate improvement. No subgroups showed statistically significant effects on primary or key secondary measures. Participants with higher baseline anxiety (a) showed positive effects across multiple test measures in areas of anxiety (VAS and ADAMS) and hyperactivity (ADAMS and ABC-CFX). Participants with low FSIQ (b) showed positive effects across the most behavior areas. Participants with ASD (c) and young participants (d) showed the modest effects on secondary measures. Only measures with p value <0.1 displayed for other secondary outcomes. ADHD attention-deficit hyperactivity disorder, VAS Visual Analogue Scale, SNAP IV Swanson, Nolan, and Pelham-IV Questionnaire, PARS Pediatric Anxiety Rating Scale, ADAMS Anxiety, Depression and Mood Scale, CGI-I Clinical Global Impression-Improvement, ABC-C Aberrant Behavior Checklist-Community Edition FXS algorithm (ABC-CFX)

Participants with full-scale IQ ≤ 45

There were n = 25 participants with FSIQ less than or equal to 45. Similarly, no significant difference was found in the primary and key secondary outcomes between ganaxolone and placebo periods. For other secondary measurements, participants with IQ ≤ 45 on ganaxolone had a significant improvement in higher average VAS scores in of attention (4.4 ± 0.35 vs. 3.3 ± 0.34, p = 0.04) and a trend for improvement in participant selected target behavior (4.0 ± 0.39 vs. 2.9 ± 0.37, p = 0.07). Lower scores, also demonstrating improvement, were reported at the end of the ganaxolone period compared to placebo with respect to manic/hyperactive behavior (8.0 ± 0.59 vs. 9.6 ± 0.58, p = 0.02), social avoidance (5.7 ± 0.66 vs. 7.6 ± 0.63, p = 0.05), general anxiety (6.5 ± 0.63 vs. 8.0 ± 0.64, p = 0.05) on the ADAMS, as well as the ABC-CFX social withdrawal/lethargy subscale (5.7 ± 0.81 vs. 7.4 ± 0.84, p = 0.06) and inappropriate speech subscale (5.3 ± 0.43 vs. 6.4 ± 0.42, p = 0.05). See Fig. 4b for estimate of treatment differences and 95% CIs.

Participants with ASD

For participants with ASD (n = 39), no significant difference was found between ganaxolone and placebo periods with respect to the primary and key secondary outcomes. For other secondary measures, participants with ASD receiving ganaxolone had a potential trend of reporting higher average score than participants receiving placebo in improvement in target behavior in VAS (4.3 ± 0.35 vs. 3.4 ± 0.35, p = 0.05), depressed mood subscore on the ADAMS (3.4 ± 0.38 vs. 2.6 ± 0.40, p = 0.07), and attention deficit hyperactivity disorder (ADHD) hyperactive impulsive total in SNAP-IV (14.7 ± 0.82 vs. 13.0 ± 0.80, p = 0.08). See Fig. 4c for estimate of treatment differences and 95% CIs.

Younger participants ages 6–9

Similar to the post hoc analysis for participants with ASD and low IQ, for younger participants ages 6–9 years (n = 22), no significant difference was found between ganaxolone and placebo period with respect to the primary and key secondary outcomes. Participants on ganaxolone reported higher average depressed mood score (3.6 ± 0.62 vs. 2.0 ± 0.58, p = 0.03) on the ADAMS and ADHD combined total score (32.1 ± 1.96 vs. 27.2 ± 1.91, p = 0.06) on the SNAP-IV, compared to participants receiving placebo. A lower score, demonstrating improvement, was observed for participants with ganaxolone compared to placebo in stereotypic behavior (5.8 ± 0.53 vs. 6.9 ± 0.52, p = 0.09) in ABC-CFX. Estimate of treatment differences and 95% CIs are given in Fig. 4d.

Participants on concomitant medication minocycline, sertraline, or aripiprazole

Twenty-four participants were on concomitant medications including minocycline, sertraline, or aripiprazole. Similar to the main analyses (see Table 2) of primary efficacy (CGI-I) and key secondary (PARS-R), there were no significant difference between ganaxolone and placebo periods. There was no difference in all other secondary measure as well (results not shown).

Other sensitivity analyses

Because two participants had major protocol deviations (see Fig. 2), we considered a per-protocol-population analysis that excluded these two participants. The results and conclusion remained the same. Because the majority of the participants were from UCD, we also conducted sensitivity analyses based on the UCD data only. The pattern of results remained the same, with the reported differences in secondary measures above becoming slightly attenuated due to the smaller sample size.


This was a phase 2 double-blind, crossover trial of ganaxolone as a targeted treatment for children with FXS. Ganaxolone is a GABAA positive allosteric modulator that has provided promising results in the FXS mouse model [13, 21] and has a proven safety profile in both children and adults patients in other disease models [29, 30]. This study did not identify any statistically significant improvements in the primary, the key secondary or other secondary outcome measures for children with FXS taking ganaxolone compared to placebo. However, post hoc analysis revealed positive effects in favor of the study medication in subpopulations.

Positive effects in areas of attention, hyperactivity, and anxiety were observed in participants with higher baseline anxiety (PARS-R ≥ 13) and those with low FSIQ scores (IQ ≤ 45) while taking ganaxolone compared to placebo. The higher anxiety group showed reduction in anxiety (VAS and ADAMS) and hyperactivity (ADAMS and ABC-CFX) across multiple test measures, suggesting ganaxolone may be helpful for these symptoms. However, there was not a statistically significant improvement on the PARS-R; therefore, the PARS-R was useful as a screening tool to select the higher anxiety subpopulation but appeared to be less sensitive than other outcome measures to monitor ganaxolone treatment response. The low FSIQ subgroup was chosen because longitudinal studies have demonstrated a relationship between cognitive deficits and behavioral problems in FXS [36]; therefore, we later hypothesized participants with the lowest IQ could also have the greatest behavioral deficits, and thus, ganaxolone could be effective in this group. This subpopulation experienced the most positive trends out of all post hoc subgroups in this study, and future research should also consider assessing if behavioral changes correlate with cognitive benefits as well. Overall, the trends observed in these subgroups are encouraging, and further trials of ganaxolone in patients with higher baseline anxiety and those with low FSIQ scores are warranted. There was no obvious correlation of effects with plasma levels of ganaxolone, which were generally similar to those if adults given a dose of 1800 mg/day.

The ASD subgroup was chosen because there is known GABAAergic dysfunction in idiopathic ASD [37, 38], and preclinical trials have demonstrated positive effects of ganaxolone on social behavior in ASD mouse models [39]. Participants with ASD in this study experienced a positive trend in targeted behaviors on the VAS. However, while sociability was one of the target behavior outcomes, there was insufficient data to analyze changes in this area. Related indicators such as the social avoidance subscales on the ADAMS and ABC-CFX subscales were not significantly different between ganaxolone and placebo arms showing that sociability may not be improved by ganaxolone in this subgroup. It would be interesting to study treatment outcomes of ganaxolone in idiopathic autism as there is emerging evidence suggesting differences between nonsyndromic ASD and ASD in FXS [40,41,42,43].

Data from the youngest participants (ages 6–9 years) was analyzed because deficits in GABA expression are more pronounced at younger ages [16]. In this group, there was a positive trend indicating decreased stereotypic behaviors while taking ganaxolone. This is congruent with decreased stereotypic behaviors (repetitive and perseverative marble burying) in the FXS mouse models when treated with ganaxolone [15].

The overall patient population experienced statistically significant worsening on the ADAMS depressed mood scale while on ganaxolone compared to placebo. Itemized analysis of the ADAMS revealed this change was due to decreases in energy level and increases in sleep, which are likely associated with the two most common reported AEs of fatigue (14.8% ganaxolone vs. 11% placebo) and drowsiness (12.2% ganaxolone vs 4.1% placebo). This was expected due to the GABAergic mechanism of action. Negative trends were also seen in the depressed mood scale (ADAMS) and ADHD symptoms (SNAP-IV) in the ASD and young age subgroups as well. The worsening of ADHD symptoms in select subgroups may indicate a partial activating effect, which has been observed in previous trials of ganaxolone in other patient populations [27, 29, 30].

Ganaxolone was generally safe, as there were no serious AEs reported during this study. However, there was a statistically significant increase in the number and severity of AEs related to study medication. Future studies should closely monitor these changes, but an overwhelming majority of participants recovered from the reported AEs by the end of the study. Because of the short duration of the study, potential long-term AEs of ganaxolone were not examined, although it is an important issue to consider in future studies.

One of the key limitations of this study was that the positive trends were found during post hoc analyses only. Of these, anxiety and hyperactivity were improved across multiple measures in the higher anxiety group. It is possible that certain outcome measures capture improvements in these areas better compared to others. Second, the study was designed to meet 90% power, but enrollment goals were not met due to resource limitations and the inadequate recruitment at a single site. Recruitment of a second site (Belgium) with a similar protocol helped increase participant numbers, but the two sites varied in number of weeks of stable dose (4 weeks at UCD, 3 weeks at Belgium). This limitation underscores the critical need for multi-site studies particularly for rare or difficult to reach populations. Analysis of results from the UCD only did not show significant differences from the combined data, and it is likely the 1 week difference in protocol had minimal effects on the overall results. We note that although the choice of the crossover design is more efficient than a standard parallel design, a major potential drawback is the loss of subjects. Dropouts were relatively low in this study.


This study provides information regarding which subgroups of patients should be included in future trials of ganaxolone in FXS. Our data suggests participants with higher anxiety and low FSIQ should be targeted as part of the inclusion criteria. It may also be possible to study ganaxolone in younger patients with FXS since it has been found to be safe at younger ages. Patients with seizures may have additional benefits, as ganaxolone has also shown improvements in children with epilepsy [29]. Additional trials of ganaxolone in children with FXS are warranted, and this study could provide a framework for more targeted inclusion criteria and outcome measures in future trials.



Aberrant Behavior Checklist–Community Edition


Anxiety, Depression and Mood Scale


Attention deficit hyperactivity disorder


Autism Diagnostic Observation Schedule


Adverse event


Alanine aminotransferase


Autism spectrum disorder


Aspartate aminotransferase


Bayley Scales of Infant Development II




Clinical Global Impression, Improvement


Clinical Global Impression–Severity


Central nervous system


Diagnostic and Statistical Manual of Mental Disorders, Text Revision IV


Fragile X syndrome


Gamma-aminobutyric acid


Institutional review board




Linear mixed-effect


Long-term depression


Metabotropic glutamate receptor


Pediatric Anxiety Rating Scale


Positron emission tomography


Prepulse inhibition


Swanson, Nolan and Pelham Questionnaire, 4th edition


University of California, Davis


Upper limit of normal


Visual Analogue Scale


Wechsler Intelligence Scale for Children


β-human chorionic growth hormone


  1. 1.

    Tassone F, et al. FMR1 CGG allele size and prevalence ascertained through newborn screening in the United States. Genome Med. 2012;4(12):100.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  2. 2.

    Klaiman C, et al. Longitudinal profiles of adaptive behavior in fragile X syndrome. Pediatrics. 2014;134(2):315–24.

    Article  PubMed  PubMed Central  Google Scholar 

  3. 3.

    Devys D, et al. The FMR-1 protein is cytoplasmic, most abundant in neurons and appears normal in carriers of a fragile X premutation. Nat Genet. 1993;4(4):335–40.

    CAS  Article  PubMed  Google Scholar 

  4. 4.

    Fernandez E, Rajan N, Bagni C. The FMRP regulon: from targets to disease convergence. Front Neurosci. 2013;7:191.

    Article  PubMed  PubMed Central  Google Scholar 

  5. 5.

    Bear MF, Huber KM, Warren ST. The mGluR theory of fragile X mental retardation. Trends Neurosci. 2004;27(7):370–7.

    CAS  Article  PubMed  Google Scholar 

  6. 6.

    Gross C, et al. Therapeutic strategies in fragile X syndrome: from bench to bedside and back. Neurotherapeutics. 2015;12(3):584–608.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  7. 7.

    Jacquemont S, et al. Epigenetic modification of the FMR1 gene in fragile X syndrome is associated with differential response to the mGluR5 antagonist AFQ056. Sci Transl Med. 2011;3(64):64ra1.

    CAS  Article  PubMed  Google Scholar 

  8. 8.

    Berry-Kravis E, et al. Mavoglurant in fragile X syndrome: Results of two randomized, double-blind, placebo-controlled trials. Sci Transl Med. 2016;8(321):321ra5.

    Article  PubMed  Google Scholar 

  9. 9.

    Quiroz J, et al. Effect of two doses of Basimglurant on behavioral symptoms in adolescent & adult patients with fragile X syndrome: results from FRAGXIS, a double-blind, placebo controlled study, in International Meeting for Autism Research. Salt Lake City;2015

  10. 10.

    Quiroz J, et al. Safety and exploratory efficacy of Basimglurant in pediatric patients with fragile X syndrome: a randomized, double-blind, placebo-controlled study, in International Meeting for Autism Research. Salt Lake City; 2015

  11. 11.

    D’Hulst C, Kooy RF. Fragile X syndrome: from molecular genetics to therapy. J Med Genet. 2009;46(9):577–84.

    Article  PubMed  Google Scholar 

  12. 12.

    Braat S, Kooy RF. Fragile X syndrome neurobiology translates into rational therapy. Drug Discov Today. 2014;19(4):510–9.

    Article  PubMed  Google Scholar 

  13. 13.

    Braat S, Kooy RF. The GABAA receptor as a therapeutic target for neurodevelopmental disorders. Neuron. 2015;86(5):1119–30.

    CAS  Article  PubMed  Google Scholar 

  14. 14.

    D’Hulst C, et al. Positron emission tomography (PET) quantification of GABAA receptors in the brain of fragile X patients. PLoS One. 2015;10(7):e0131486.

    Article  PubMed  PubMed Central  Google Scholar 

  15. 15.

    Braat S, et al. The GABAA receptor is an FMRP target with therapeutic potential in fragile X syndrome. Cell Cycle. 2015;14(18):2985–95.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  16. 16.

    Braat S, Kooy RF. Insights into GABAAergic system deficits in fragile X syndrome lead to clinical trials. Neuropharmacology. 2015;88:48–54.

    CAS  Article  PubMed  Google Scholar 

  17. 17.

    D’Hulst C, Kooy RF. The GABAA receptor: a novel target for treatment of fragile X? Trends Neurosci. 2007;30(8):425–31.

    Article  PubMed  Google Scholar 

  18. 18.

    D’Hulst C, et al. Expression of the GABAergic system in animal models for fragile X syndrome and fragile X associated tremor/ataxia syndrome (FXTAS). Brain Res. 2009;1253:176–83.

    Article  PubMed  Google Scholar 

  19. 19.

    Gantois I, et al. Expression profiling suggests underexpression of the GABA(A) receptor subunit delta in the fragile X knockout mouse model. Neurobiol Dis. 2006;21(2):346–57.

    CAS  Article  PubMed  Google Scholar 

  20. 20.

    D’Hulst C, et al. Decreased expression of the GABAA receptor in fragile X syndrome. Brain Res. 2006;1121(1):238–45.

    Article  PubMed  Google Scholar 

  21. 21.

    Heulens I, et al. Pharmacological treatment of fragile X syndrome with GABAergic drugs in a knockout mouse model. Behav Brain Res. 2012;229(1):244–9.

    CAS  Article  PubMed  Google Scholar 

  22. 22.

    Olmos-Serrano JL, et al. Defective GABAergic neurotransmission and pharmacological rescue of neuronal hyperexcitability in the amygdala in a mouse model of fragile X syndrome. J Neurosci. 2010;30(29):9929–38.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  23. 23.

    Olmos-Serrano JL, Corbin JG, Burns MP. The GABA(A) receptor agonist THIP ameliorates specific behavioral deficits in the mouse model of fragile X syndrome. Dev Neurosci. 2011;33(5):395–403.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  24. 24.

    Carter RB, et al. Characterization of the anticonvulsant properties of ganaxolone (CCD 1042; 3alpha-hydroxy-3beta-methyl-5alpha-pregnan-20-one), a selective, high-affinity, steroid modulator of the gamma-aminobutyric acid(A) receptor. J Pharmacol Exp Ther. 1997;280(3):1284–95.

    CAS  PubMed  Google Scholar 

  25. 25.

    Carver CM, Reddy DS. Neurosteroid interactions with synaptic and extrasynaptic GABA(A) receptors: regulation of subunit plasticity, phasic and tonic inhibition, and neuronal network excitability. Psychopharmacology (Berl). 2013;230(2):151–88.

    CAS  Article  Google Scholar 

  26. 26.

    Nohria V, Giller E. Ganaxolone. Neurotherapeutics. 2007;4(1):102–5.

    CAS  Article  PubMed  Google Scholar 

  27. 27.

    Monaghan EP, et al. Initial human experience with ganaxolone, a neuroactive steroid with antiepileptic activity. Epilepsia. 1997;38(9):1026–31.

    CAS  Article  PubMed  Google Scholar 

  28. 28.

    Beekman M, et al. Reversal of behavioral effects of pentylenetetrazol by the neuroactive steroid ganaxolone. J Pharmacol Exp Ther. 1998;284(3):868–77.

    CAS  PubMed  Google Scholar 

  29. 29.

    Pieribone VA, et al. Clinical evaluation of ganaxolone in pediatric and adolescent patients with refractory epilepsy. Epilepsia. 2007;48(10):1870–4.

    CAS  Article  PubMed  Google Scholar 

  30. 30.

    Kerrigan JF, et al. Ganaxolone for treating intractable infantile spasms: a multicenter, open-label, add-on trial. Epilepsy Res. 2000;42(2-3):133–9.

    CAS  Article  PubMed  Google Scholar 

  31. 31.

    Tellegen PJ, Laros JA. The Snijders-Oomen nonverbal intelligence tests. General intelligence tests or tests for learning potential? In: JS Hamers K, Ruijssenaar AJJM, editors. Learning potential assessment: theoretical, methodological and practical issues. Amsterdam/Lisse: Swets & Zeitlinger B.V; 1993. p. 267–83.

    Google Scholar 

  32. 32.

    (RUPP), the Research Units on Pediatric Psychopharmacology Anxiety Study Group. The Pediatric Anxiety Rating Scale (PARS): development and psychometric properties. J Am Acad Child Adolesc Psychiatry. 2002;41(9):1061–9.

    Article  Google Scholar 

  33. 33.

    Esbensen AJ, et al. Reliability and validity of an assessment instrument for anxiety, depression, and mood among individuals with mental retardation. J Autism Dev Disord. 2003;33(6):617–29.

    Article  PubMed  Google Scholar 

  34. 34.

    Sansone SM, et al. Psychometric study of the aberrant behavior checklist in fragile X syndrome and implications for targeted treatment. J Autism Dev Disord. 2012;42(7):1377–92.

    Article  PubMed  PubMed Central  Google Scholar 

  35. 35.

    Swanson JM, et al. Clinical relevance of the primary findings of the MTA: success rates based on severity of ADHD and ODD symptoms at the end of treatment. J Am Acad Child Adolesc Psychiatry. 2001;40(2):168–79.

    CAS  Article  PubMed  Google Scholar 

  36. 36.

    Frolli A, Piscopo S, Conson M. Developmental changes in cognitive and behavioural functioning of adolescents with fragile-X syndrome. J Intellect Disabil Res. 2015;59(7):613–21.

    CAS  Article  PubMed  Google Scholar 

  37. 37.

    Oblak AL, Gibbs TT, Blatt GJ. Reduced GABAA receptors and benzodiazepine binding sites in the posterior cingulate cortex and fusiform gyrus in autism. Brain Res. 2011;1380:218–28.

    CAS  Article  PubMed  Google Scholar 

  38. 38.

    Fatemi SH, et al. GABA(A) receptor downregulation in brains of subjects with autism. J Autism Dev Disord. 2009;39(2):223–30.

    Article  PubMed  Google Scholar 

  39. 39.

    Kazdoba TM, et al. Evaluation of the neuroactive steroid ganaxolone on social and repetitive behaviors in the BTBR mouse model of autism. Psychopharmacology (Berl). 2016;233(2):309–23.

    CAS  Article  Google Scholar 

  40. 40.

    Thurman AJ, et al. Use of emotional cues for lexical learning: a comparison of autism spectrum disorder and fragile X syndrome. J Autism Dev Disord. 2015;45(4):1042–61.

    Article  PubMed  PubMed Central  Google Scholar 

  41. 41.

    McDuffie A, et al. Symptoms of autism in males with fragile X syndrome: a comparison to nonsyndromic ASD using current ADI-R scores. J Autism Dev Disord. 2015;45(7):1925–37.

    Article  PubMed  PubMed Central  Google Scholar 

  42. 42.

    Benjamin DP, et al. Effect of speaker gaze on word learning in fragile X syndrome: a comparison with nonsyndromic autism spectrum disorder. J Speech Lang Hear Res. 2015;58(2):383–95.

    Article  PubMed  PubMed Central  Google Scholar 

  43. 43.

    Thurman AJ, et al. Psychiatric symptoms in boys with fragile X syndrome: a comparison with nonsyndromic autism spectrum disorder. Res Dev Disabil. 2014;35(5):1072–86.

    Article  PubMed  PubMed Central  Google Scholar 

Download references


We are grateful to the families and patients who have participated in this research study. We acknowledge Hilde Van Esch for help with patient recruitment, and we thank Yi Mu, UC Davis Department of Public Health Sciences, for assistance with data management and analysis.


This work was supported by DOD PR101054, the MIND Institute Intellectual and Developmental Disabilities Research Center (U54 HD079125), and the National Fragile X Foundation. RFK and AVD have received grants from FRAXA Research Foundation, Jérôme Lejeune Foundation and Marguerite-Marie Delacroix Foundation. This publication was also made possible by grant UL1 TR000002 and linked award TL1 TR000133, and KL2 TR000134 from the National Center for Advancing Translational Sciences, National Institutes of Health. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.

Availability of data and materials

The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.

Authors’ contributions

RH wrote the study grant and oversaw the clinical trial at the UCD site. RFK oversaw the study at the Belgium site. At the UCD site, AL and EB enrolled patients, coordinated visits, and managed data; RL, DH, and AS conducted study measures; and KA, RL, and RH performed clinical evaluations. At the Belgium site, AVD and BC enrolled patients, coordinated visits, and managed data. AVD and RFK conducted study measures and performed clinical evaluations. DVN and YC performed statistical analysis. FT oversaw molecular and laboratory analyses. All authors contributed to the writing of this manuscript. All authors read and approved the final manuscript.

Competing interests

RH has received funding from Roche, Novartis, Neuren, and Alcobra for carrying out treatment studies in patients with fragile X syndrome. She has also consulted with Roche, Novartis, Alcobra, and Zynerba regarding treatment studies in individuals with fragile X syndrome. KA has received funding from Roche and SynapDx for treatment studies in individuals with ASD. The other authors declare that they have no competing interests.

Consent for publication

Not applicable.

Ethics approval and consent to participate

All participants signed an IRB reviewed consent form at the University of California, Davis, or at the University of Antwerp depending on location where they participated in the study.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Author information



Corresponding author

Correspondence to Randi J. Hagerman.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Ligsay, A., Van Dijck, A., Nguyen, D.V. et al. A randomized double-blind, placebo-controlled trial of ganaxolone in children and adolescents with fragile X syndrome. J Neurodevelop Disord 9, 26 (2017).

Download citation


  • Fragile X syndrome
  • Ganaxolone
  • Clinical trial
  • Children
  • Adolescents