Introduction

During development, the formation of appropriate neuronal connections is heavily dependent on the intricate choreography of neuronal and glial interactions. Astrocytes are highly prevalent CNS glial cells and key participants of these early neurodevelopmental processes. It is therefore not surprising that defects to normal astrocyte function have been associated with several neurodevelopmental diseases, including autism spectrum disorders (ASDs). Specifically, astrocyte dysfunction has been primarily demonstrated in monogenic ASDs caused by single gene mutations, such as the CGG repeat expansion of the Fmr1 gene in Fragile X Syndrome (FXS). The mutation to Fmr1 in FXS leads to the deletion of RNA-binding protein FMRP and subsequently abnormal creation, refinement, and excitation of neurological networks that underlie seizures and sensory hyperresponsivity [1,2,3,4,5,6,7,8]. Astrocyte-specific deletion of FMRP is sufficient to produce abnormal neuronal morphology in vitro and alter mouse motor neuron morphology and motor skill acquisition in vivo [9, 10]. Identifying the astrocyte-mediated factors that lead to aberrant cortical circuitry in early postnatal development will provide important insight into the molecular and cellular pathology of FXS, ASDs, and related neurodevelopmental disorders.

Astrocytic regulation of the neuronal microenvironment is modulated through a variety of molecular families, including the purinergic signalling system. Purines, pyrimidines, and their metabolites (ex. ATP, UTP, ADP, etc.) signal within the CNS via several receptor families, including P2Y, P2X and P1 receptors [reviewed in 11]. Recently, our work has shown that several P2Y receptors are significantly upregulated in cortical astrocytes of the Fmr1 knockout (KO) mouse model of FXS [12]. Both neurons and astrocytes express the excitatory Gq-coupled P2Y family of purinergic receptors that are activated by the nucleoside di- and triphosphates ATP, ADP, UTP, and UDP. P2Y activation initiates phospholipase C-inositol triphosphate-mediated calcium release pathways, and promotes propagation of astrocyte intercellular calcium waves, vesicular release of purinergic neuro/gliotransmitters, and changes in gene expression [11]. Specifically, P2Y2 and P2Y6 receptor expression is elevated in Fmr1 KO mouse cortical astrocytes, and activation via ATP or UTP enhances both calcium mobilization and secretion of the pro-synaptogenic factor thrombospondin-1 (TSP-1) [12,13,14]. However, how purinergic signalling aberrations in Fmr1 KO astrocytes during early postnatal development contributes to FXS neuronal morphology and network function remains unclear.

In this study, we investigated the role of astrocyte purinergic signalling dysregulation in FXS on the development of cortical neurons. Previous work has shown that neurons isolated from the brain of Fmr1 KO mice display aberrant neurite outgrowth, extensive arborization, an excess of immature dendritic spines, and increased synaptic puncta [10, 15, 16]. These structural phenotypes are correlated with heightened neuronal excitation and deficits in inhibitory activity, a combination also reflected in many individuals with ASD [7, 17, 18]. Here, we found that FMRP expression in astrocytes was the primary determining factor of neurite outgrowth, and astrocyte-conditioned media (ACM) from Fmr1 KO astrocytes was sufficient to induce an FXS-like neuronal phenotype of enhanced neurite outgrowth in wildtype (WT) cortical neurons. The promotion of growth of WT cortical neurons was mirrored by the application of exogenous UTP in the presence of WT ACM, but not Fmr1 KO ACM. In addition, elevated firing of Fmr1 KO mouse cortical neurons co-cultured with astrocytes was normalized following chronic P2Y2 antagonism. Our findings not only emphasize the importance of astrocyte-derived signals in FXS neuronal pathophysiology, but also highlight the potential of P2Y2 inhibition as a therapeutic strategy for FXS and ASDs.

Methods

Animals

Two genotypes of mice, wildtype (WT) and Fmr1−/−(Fmr1 KO; FVB.129P2(B6)-Fmr1tm1Cgr), were bred and housed at the McMaster Health Sciences Central Animal Facility. All mouse housing conditions and experimental protocols were authorized by the McMaster Animal Ethics Board (Animal Utilization Protocol 21-02-06), following Canadian Council on Animal Care policies. Timed pregnant dams were removed for brain dissection and neuronal isolation once embryos reached approximately embryonic day (E) 16, while pups of both sexes were removed at postnatal day (P) 1–3 for astrocyte dissection.

Primary Astrocyte Culture

Cortices from three P1-3 WT or Fmr1 KO mouse pups, euthanized by decapitation, were pooled to obtain each primary astrocyte culture. Following protocols previously described [19], whole brains were placed into ice-cold calcium- and magnesium-free Hanks’ buffered saline solution (CMF-HBSS; Invitrogen, Waltham, MA, USA). Using a Zeiss Stemi SR stereo microscope (Carl Zeiss, Oberkochen, Germany), olfactory bulbs, meninges, and hippocampi were detached to isolate both hemispheres of the cerebral cortex. Cortical hemispheres were dissociated in 1 mg/mL DNase (Roche Applied Science) and 0.25% trypsin (Invitrogen), then seeded in glial-selective media (minimum essential media (Gibco, Waltham, MA, USA), 10% horse serum (Gibco), and 0.6% D-(+)-glucose (Sigma-Aldrich, St. Louis, MO, USA). Primary astrocyte cultures were grown within a humidified incubator (37ºC, 5% CO2; NuAire, Plymouth, MN, USA) for a total of 6–8 days in vitro (DIV), with 50% media changes 24 h post-plating and every subsequent 48–72 h.

Once cultures achieved 75–90% confluence, they were utilized to produce astrocyte-conditioned media (ACM) or replated on top of neurons within microelectrode arrays (see Microelectrode Arrays). To produce ACM, glial-selective media was replaced with neuronal maintenance media (NMM) containing NeuroCult Basal Medium (StemCell Technologies, Vancouver, ON, Canada), 2% SM1 neuronal supplement (StemCell Technologies), 0.1125% Glutamax (Invitrogen), and 0.1% glutamine (Invitrogen). Astrocyte cultures were maintained at 37ºC and 5% CO2 for an additional 48 h to allow for the accumulation of astrocyte-secreted factors within the media.

Primary Neuron Culture

Timed pregnant WT and Fmr1 KO dams were euthanized by CO2 overdose once embryos reached ∼ E16. Following abdominal sterilization with 95% ethanol, uterine horns were removed through a midline incision through the skin and abdominal wall, then rinsed in sterile ice-cold CMF-HBSS (Invitrogen). Three embryos from each litter were randomly selected for dissection. Skin, skull, olfactory bulbs, meninges, and hippocampi were removed from one cortical hemisphere per embryo under a Zeiss Stemi SR stereo microscope (Carl Zeiss). Cortical tissue was dissociated in CMF-HBSS plus 0.25% trypsin, using a series of mechanical dissociation steps outlined previously [19]. Neurons intended for neurite outgrowth and Sholl analyses were then resuspended in ACM and plated on 1 mg/mL poly-L-lysine (Sigma-Aldrich) and 10 μg/mL laminin (Invitrogen)-coated 12 mm coverslips (Neuvitro, Vancouver, WA), at a density of 7000 cells/coverslip.

The two different genotypes of neurons and ACM (WT and Fmr1 KO) were combined to create four separate groups: WT neurons cultured with WT ACM (WTN-WTACM), WT neurons cultured with Fmr1 KO ACM (WTN-KOACM), Fmr1 KO neurons cultured with WT ACM (KON-WTACM), and Fmr1 KO neurons cultured with Fmr1 KO ACM (KON-KOACM). Each combination was plated in duplicate, and cultured four times using separate litters, for a total of eight coverslips (n) per combination. Neurons were treated 24 h and 72 h after plating with one of the following concentrations of UTP (diluted in PBS; ThermoFisher): 0.1 μM 1 μM, 10 μM, or 100 μM, or phosphate buffered saline control (PBS; Life Technologies). Primary neuron cultures were maintained at 37ºC and 5% CO2 for a total of 5DIV, without media changes. Survival of neurons within each condition was high (∼ 95%) and equivalent across all treatment groups.

Immunocytochemistry

Primary neuron cultures and neuron-astrocyte co-cultures were processed for immunocytochemistry using protocols previously described [20]. Briefly, neurons cultured in ACM were fixed in 100% ice-cold acetone (BioShop, Burlington, ON) at 5DIV for analysis, while co-cultures were fixed at 7DIV for representative imaging. Fixed cells were permeabilized with 0.1% Triton X-100 (BDH Chemicals, Radnor, PA, USA) and blocked with 1% bovine serum albumin (BSA; Sigma-Aldrich). Neurons were incubated in anti-MAP2 primary antibody (mouse monoclonal; 1:250 in PBS; Invitrogen Cat# 13-1500, RRID: AB_2533001) overnight at 4οC, then in goat anti-mouse fluorescein isothiocyanate (FITC) (1:100 in PBS; Jackson ImmunoResearch, West Grove, PA, USA Cat# 115-095-166, RRID: AB_2338601) secondary antibody for 3 h at room temperature. Co-cultures were also incubated in anti-MAP2 primary antibody as well as anti-glial fibrillary acidic primary antibody (GFAP; chicken polyclonal; 1:1000; OriGene, Rockville, MD, USA Cat# TA309150), followed by donkey anti-mouse AlexaFluor 594 (1:500; Invitrogen Cat# 21203, RRID: AB_141633) and donkey anti-chicken FITC (1:100; Jackson ImmunoResearch Cat# 703-095-155, RRID: AB_2340356) secondary antibodies. Prolong Gold antifade mounting medium plus 4’,6-diamidino-2-phenylindole (DAPI; Invitrogen) was used to stain nuclei with DAPI and affix the coverslips onto slides. Neurons were imaged by a blinded experimenter at x20 objective magnification, using a Zeiss Axio Imager.M2 epifluorescent microscope (Carl Zeiss) fitted with an Axiocam 506 camera (Carl Zeiss) and ZEN Blue acquisition software (Carl Zeiss).

Neurite Outgrowth and Sholl Analysis

Neurite outgrowth and complexity in UTP-treated neurons were simultaneously assessed using Fiji software (ImageJ; National Institutes of Health, Bethesda, MD, USA). All analyses were performed by experimenters who were blinded to the treatment conditions and hypotheses. Each treatment group consisted of 8 coverslips isolated from embryos of four separate dams (n = 8; n = 6 for the following groups: WTN-WTACM 10 μM UTP, WTN-KOACM 1 μM UTP, KON-WTACM 10 μM UTP, and KON-KOACM 10 μM UTP). Five images representative of the total neuronal population were taken per coverslip. From those images, ∼ 4 neurons per image were randomly chosen for analysis, for a total of ∼ 20 neurons analyzed per n and ∼ 120–160 neurons analyzed per condition. Each neurite of a selected neuron was traced from proximal to distal end using the Simple Neurite Tracer Fiji plugin, and radius step size was set to 10 μm for Sholl analysis. Traces began outside the soma at the base of each neurite to ensure that the soma was excluded from outgrowth measurements. Results of both neurite outgrowth and Sholl analyses were expressed as fold change relative to PBS control.

Protein Analysis

Cell lysates from WT and Fmr1 KO mouse primary neuron cultures were prepared for western blotting to compare levels of neuronal P2Y receptors. For P2Y1 quantification, experimental samples consisted of 3 WT (n = 3) and 5 Fmr1 KO (n = 5) cultures from individual timed pregnancies, while for P2Y2 western blotting, 6 (n) separate neuron cultures per genotype were used. Experimental samples for P2Y4 western blotting were obtained from 4 WT (n = 4) and 3 Fmr1 KO (n = 3) cultures isolated from separate litters, and 5 (n) separate neuron cultures per genotype were used for P2Y6 western blotting. Following dissociation protocols described above (see Primary Neuron Culture), neurons were plated on 1 mg/mL PLL- and 10 μg/mL laminin-coated 6-well plates (Corning, NY, USA) and maintained for 5DIV, then lifted using 0.05% trypsin-ethylenediaminetetraacetic acid (trypsin-EDTA; Gibco). Following centrifugation and removal of supernatant, pelleted cultured neurons were flash frozen in liquid nitrogen and stored at -80 °C until homogenization with RIPA lysis buffer (150 mM NaCl, 1% NP-40, 0.5% deoxycholic acid, 1% SDS, 50 mM Tris, Roche ULTRA protease inhibitor, Roche PhoSTOP phosphatase inhibitor), as previously described [21]. Total protein levels within each lysate were quantified using a DC protein assay (BioRad, Mississauga, ON, Canada) to determine gel loading dilutions.

Western blotting samples were comprised of 5 μg protein lysate per lane, diluted in Laemmli sample buffer plus 2.5% ß-mercaptoethanol (BioRad). Following gel electrophoresis using polyacrylamide TGX 4–12% gradient gels (BioRad), proteins were transferred to polyvinylidene difluoride (PVDF) (BioRad) membranes, which were then agitated in a blocking solution of 5% non-fat milk in 1X Tris-buffered saline solution with Tween-20 (TBS-T). Membranes were incubated overnight at 4οC with primary antibodies against the following P2Y receptors: P2Y1 (rabbit polyclonal; 1:200; Alomone Labs, Jerusalem, Israel Cat# APR-009, RRID: AB_2040070; band at ∼ 66 kDa) [22], P2Y2 (rabbit polyclonal; 1:200; Alomone Labs Cat# APR-010, RRID: AB_2040078; band at ∼ 47 kDa [22], P2Y4 (rabbit polyclonal; 1:200; Alomone Labs Cat# APR-006, RRID: AB_2040080; band at ∼ 50 kDa) [23, 24], and P2Y6 (rabbit polyclonal; 1:200; Alomone Labs Cat# APR-106, RRID: AB_2040082; band at ∼ 65 kDa) [23, 25]. Membranes were subsequently incubated in donkey-anti rabbit horseradish peroxidase secondary antibody (1:2500; GE Healthcare Cat# NA934) for 2 h, then developed in Clarity MAX enhanced chemiluminescence (ECL) substrate (BioRad) and imaged using a ChemiDoc imaging system (BioRad). Following development, membranes were stripped using Blot Restore Solution (MilliporeSigma) and re-probed with ß-actin primary antibody (mouse monoclonal; 1:5000; MilliporeSigma Cat# A5441, RRID: AB_476744) and donkey-anti mouse horseradish peroxidase secondary antibody (1:2500; GE Healthcare Cat# NA931V) to serve as a loading control. Bands of interest were quantified and normalized to ß-actin using ImageLab 6.0.1 software (BioRad). P2Y receptor levels were expressed as fold change relative to WT means.

Neuron-Astrocyte Co-Cultures

WT and Fmr1 KO neurons intended for co-culture on microelectrode arrays were dissected according to protocols described above (see Primary Neuron Culture), then resuspended in NeuroCult Neuronal Plating Medium (NMM, STEMCELL Technologies, Vancouver, BC, Canada) supplemented with 2% STEMCELL Modified-1 Neuronal Supplement (SM1, STEMCELL Technologies). Neurons were seeded at a density of 30,000 cells per well on Axion 48-well Cytoview plates (Axion Biosystems, Atlanta, GA, USA) containing 16 microelectrodes per well with a 0.32 cm2 total recording electrode area, pre-coated with 0.1% polyethylenimine (PEI) in borate buffer (pH 8.4). After 24 h, confluent astrocytes of the same genotype (see Primary Astrocyte Culture) were added to the culture at a density of 60,000 cells per well. On-plate reservoirs were filled with 5–7 mL of sterile water to increase humidity and to prevent evaporation of cell suspensions and media. Co-cultures were maintained in a humidified incubator at 37 °C and 5% CO2, with media changes 2x per week and > 24 h prior to recording, as media changes temporarily dysregulate neuronal firing. Between 5-11DIV, cells received half media changes consisting of BrainPhys Neuronal Medium (STEMCELL Technologies, Vancouver, BC, Canada) supplemented with 2% SM1. Starting at 12DIV, half media changes consisted of BrainPhys Neuronal Medium with 2% SM1 and 7.5 mM glucose.

Microelectrode Array Recording and Analysis

Neuronal firing activity was recorded every 2–3 days, from 7-35DIV, using the Axion MaestroPro multi-well plate recording system (Axion Biosystems) set to detect spontaneous real-time neural spikes. All recordings were carried out for 10 min at a temperature of 37 °C, in the absence of CO2 regulation. Wells with less than 9 of the 16 total electrodes (< 50%) detecting neuronal activity, defined as a minimum spike rate of 5 spikes per minute, were removed prior to data analysis unless they recovered to ≥ 9/16 active electrodes in subsequent recordings.

P2Y antagonist treatments were applied to culture media 2x per week and > 24 h prior to recording, starting at 5DIV and continuing until 31DIV. Cultures were treated with either the specific P2Y2 antagonist AR-C 118925XX (AR-C; 1 μM and 10 μM in 50% PBS/50% DMSO; Tocris Bioscience, Bristol, UK) or the general P2 antagonist suramin (0.1 μM in 50% PBS/50% DMSO; Tocris Bioscience). Some cultures were unable to be recorded for the full experimental period due to external factors. The WT naïve experimental group consisted of a total of 13 culture samples (n = 13) obtained from 7 individual timed pregnancies, with 6 cultures remaining at 35DIV, while the Fmr1 KO naïve experimental group was comprised of 15 culture samples (n = 15) from 6 separate dams and was reduced to 8 cultures by 35DIV. The WT AR-C 118925XX (1 μM) experimental group was composed of 14 culture samples (n = 14) at 7DIV and 8 cultures at 35DIV. Fourteen WT cultures (n = 14) at 7DIV and 7 WT cultures by 35DIV were treated with 10 μM antagonist, each derived from 7 individual timed pregnancies. Fmr1 KO 1 μM AR-C 118925XX samples consisted of 12 cultures (n = 12) at 7DIV and 3 cultures at 31DIV obtained from 7 individual dams; while Fmr1 KO 10 μM samples were made up of 11 cultures (n = 11) at 7DIV and 7 cultures at 35DIV obtained from 6 individual dams. Suramin experimental samples were composed of 10 WT culture samples (n = 10) at 7DIV and reduced to 8 cultures by 35DIV, as well as 9 Fmr1 KO culture samples (n = 9) at 7DIV and 5 wells at 35DIV, each obtained from 5 individual timed pregnancies per genotype.

A reversible treatment of AMPA and NMDA receptor blockers, CNQX and AP-5 (10 μM; MilliporeSigma, Oakville, ON, CA), was applied at 7DIV, 10DIV and 12DIV to ensure that recordings detected synaptic firing and not gap junction activity. Combined CNQX + AP-5 treatments were applied to separate samples (WT n = 14 from 7 separate timed pregnancies; Fmr1 KO n = 12 from 6 individual timed pregnancies) for a 10 min incubation period plus 10 min recording time, then the culture media was removed and replaced in order to restore neuronal firing. All analysis of firing activity was completed using AxIS Metric software (Axion Biosystems) with default settings applied for neural spike, burst, and network burst parameters. Relevant measured metrics, processed by the Neural Statistics Compiler (Axion), are defined in Table 1.

Table 1 Parameters used to define microelectrode array (MEA) metrics. Adapted from Axion Biosystems (2017)

Statistical Analysis

GraphPad Prism 9.1.0 software (GraphPad Software, San Diego, CA, USA) was used for all graphing and statistical analyses. Neuronal outgrowth and complexity analyses between three or more means within a single genotype were performed by fitting the data to a mixed model followed by post-hoc Sidak multiple comparisons tests; the mixed model was chosen in place of a one-way repeated measures analysis of variance (ANOVA) due to missing replicates in 10 μM UTP conditions. Comparisons between three or more means across different genotypes were performed using two-way or three-way ANOVA with post-hoc Sidak corrections. All statistical results were considered significant at p < 0.05, and reported statistics are adjusted p values obtained from post-hoc Sidak corrections unless otherwise specified. Western blotting comparisons, made between two means, were performed using two-tailed, unpaired t-tests with significance at p < 0.05. All data is presented as means +/- SEM.

Time series comparisons of MEA metrics between WT and Fmr1 KO naïve groups were performed using mixed models, chosen in place of two-way repeated measures ANOVA due to missing values at later time points, as some cultures were unable to be followed for the full 35DIV due to external factors. Differences between WT and Fmr1 KO treatment groups over time were initially analyzed using three-way ANOVA, then parameters of interest at select time points were further compared between genotypes and treatments using two-way ANOVA followed by post-hoc Holm-Sidak multiple comparisons tests. All line graphs present data as means +/- SEM, while box plots present the median and interquartile range with whiskers extending to minimum and maximum values. All statistical comparisons were considered significant at p < 0.05.

High-Dimensional Clustering Analysis

A cluster analysis was completed in RStudio (Boston, MA) to identify whether samples (n) at the biologically relevant timeframe of 28DIV formed groups in high-dimensional space. Subsets of data from each genotype (nWT = 30, nKO = 24) originated from 23 MEA metrics, or features of interest (p), outlined in Table 1. Data in each subset were z-scored according to treatment group and subsequently arranged in an n x p feature matrix; if needed, values were imputed using the impute.knn function from the impute package (version 1.64.0). Data sets were then clustered using the Robust Sparse K-means Clustering (RSKC) algorithm implemented in the RSKC package (version 2.4.2) [26]. Sparse clustering algorithms utilized here have been successfully used to study molecular brain development, where p ≈ n [27].

Each data set underwent 100 iterations of RSKC for values of K ranging from 2 to 3 clusters, ensuring that a minimum of three samples were assigned per cluster. Across every iteration, the cluster assignments for each sample and the RSKC weights for each feature were saved. The optimal number of clusters was determined with an adapted elbow method. Briefly, using the KMeansSparseCluster function from the sparcl package (version 1.0.4), the average within-cluster sums of squares (WCSS) was found for each value of K across 100 iterations. The elbow was identified using the elbowPoint function of the akmedoids package (version 0.1.5). This approach found the optimal number of clusters for the WT and Fmr1 KO data sets to be K = 6 and K = 5, respectively. Then, the most representative of the 100 iterations were then determined by averaging the feature weights across all iterations for a given K, thus yielding a vector of 23 mean weights. For each iteration, the mean squared error (MSE) was calculated using its feature weights. Due to the sample size of the data, two additional constraints were applied to ensure biologically interpretable results: each cluster must have no less than three samples, and the most representative iteration must be chosen from the top five ranked iterations (those with the smallest MSE). Once determined, pie charts were constructed for each treatment to illustrate clusters, while bar graphs grouped related features together (average and SEM). To visualize the high-dimensional relationships between samples, dimensionality-reduction was done using the t-distributed stochastic neighbour embedding (t-SNE) algorithm implemented in the Rtsne package (version 0.15) [28]. Each column in the n x p feature matrix was multiplied by its corresponding RSKC weight from the most representative iteration to enhance the signal in clustering variables, while reducing the impact of noise variables and accurately capturing the global pattern of a high-dimensional data sets [29, 30]. The output of t-SNE was then visualized on a two-dimensional scatter plot. Each point on the scatter plot was colour-coded and shaped according to its experimental treatment, and points that were assigned to the same cluster were enveloped in coloured ellipses.

Results

UTP Increases Neurite Outgrowth of WT and Fmr1 KO Neurons in only WT Conditions

To isolate the effect of neuronal vs. astrocyte soluble factors, WT and Fmr1 KO neurons (WTN and KON) were cultured with either WT or Fmr1 KO astrocyte-conditioned media (WTACM or KOACM) to form four distinct culture conditions, as shown in Fig. 1A. WT neurons grown in WTACM and treated with high-dose UTP (10 μM, n = 6 and 100 μM, n = 8) for 5DIV (Fig. 1B-D) displayed an increase in maximal neurite extension (i.e., the length of the neuron’s longest neurite) relative to PBS control treatment (10 μM, p = 0.0285 and 100 μM, p = 0.0258). However, incubation with lower concentrations of UTP (0.1 μM and 1 μM, n = 8) did not influence neurite length (0.1 μM, p = 0.1951 and 1 μM, p = 0.3366). Surprisingly, a robust effect of UTP was also observed with Fmr1 KO neurons grown in WTACM (Fig. 1E). Within this condition, sustained treatment with both high and lower concentrations of exogenous UTP significantly elevated maximal neurite extension above PBS (0.1 μM UTP, p = 0.0521; n = 8; 1 μM UTP, p = 0.0054, n = 8; 10 μM UTP, p = 0.0084, n = 6; and 100 μM UTP, p = 0.0096, n = 8). In contrast, we did not observe any changes to maximal neurite extension when neurons of either genotype were grown in Fmr1 KO ACM. For WT neurons grown in Fmr1 KOACM (Fig. 1F), neither low-dose UTP (0.1 μM, p > 0.9999, n = 8 and 1 μM, p = 0.5652, n = 6) nor high-dose UTP (10 μM, p = 0.9368, n = 8 and 100 μM, p = 0.4953, n = 8) impacted the length of the longest neurite relative to PBS treatment (n = 8). Similarly, the maximal neurite extension of Fmr1 KO neurons grown in Fmr1 KO ACM (Fig. 1G) was unaffected by any of the UTP concentrations we tested (0.1 μM UTP, p = 0.8606, n = 8; 1 μM UTP, p = 0.5419, n = 8; 10 μM UTP, p = 0.9995, n = 6; and 100 μM UTP, p = 0.9993, n = 8). When we compared maximal neurite lengths between the PBS controls of our four genotype conditions, neurons grown in WTACM exhibited shorter baseline neurite extension than neurons grown in Fmr1 KOACM (Fig. 1C). Both PBS-treated WT and Fmr1 KO neurons grown in Fmr1 KOACM grew significantly longer neurites than those in the WTN-WTACM condition (p = 0.0056 and p = 0.0040, respectively, n = 8; Fig. 1I, J), while the maximal neurite length of Fmr1 KO neurons in WTACM did not significantly differ from that of WT neurons in WTACM (p = 0.2796, n = 8; Fig. 1C, H).

Treatment with 100 μM UTP elevated WT neuron outgrowth in WTACM to levels comparable to PBS controls of Fmr1 KOACM-grown neurons (p = 0.9925 versus KON-KOACM, Fig. 1C, J; p = 0.9811 versus WTN-KOACM, Fig. 1C, I). When Fmr1 KO neurons were grown in WTACM, the maximal neurite length was also significantly longer than that of UTP-treated WTN-WTACM (p = 0.0125; Fig. 1H). Notably, additional growth with exogenous UTP treatment was not observed in either genotype of neurons grown with Fmr1 KOACM (WTN-KOACM, p = 0.2131, Fig. 1I and KON-KOACM, p = 0.9842, Fig. 1J).

Fig. 1
figure 1

Extension of the longest neurite in WT and Fmr1 KO primary neurons cultured for 5DIV with either WT or Fmr1 KO astrocyte-conditioned media and treated with the P2Y agonist UTP (0.1 μM, 1 μM, 10 μM, or 100 μM, or PBS control). A. Schematic outlining the four different genotype conditions within neurite outgrowth experiments. B-C. Representative immunofluorescence (B) and neurite traces (C) following PBS and 100 μM UTP treatment. Scale bars: 50 μm. UTP treatment increased the length of the longest neurite (i.e. the putative axon) in (D) WTN-WTACM (p\(\le\)0.0258) and (E) KON-WTACM conditions (p\(\le\)0.0054), but not in (F) WTN-KOACM or (G) KON-KOACM. H-J. Between-genotype comparisons of PBS vs. 100 μM UTP in (H) KON-WTACM (p\(\le\)0.0125), (I) WTN-KOACM (p\(\le\)0.0056), and (J) KON-KOACM groups (p\(\le\)0.0040) relative to WTN-WTATCM. All data presented as means +/- SEM, with gray horizontal lines indicating control means. n=8, with the exception of n=6 for 10 μM WTN-WTACM, KON-WTACM, KON-KOACM, and 1 μM WTN-KOACM. Significant differences between groups denoted by *; p<0.05

UTP Increases Complexity of Cortical Neurons Grown with Wildtype Astrocytes only

To determine the influence of UTP on neurite branching and complexity in neurons 5DIV, we used a Sholl analysis to record the number of neurites that intersected concentric circles radiating from the centre of the neuronal soma. The pattern of Sholl intersections was similar across all conditions: the number of intersections rose sharply at radii 20 μm from the neuron soma, then declined with increasing distance from the soma, reaching a plateau between ∼ 80–120 μm radii (Fig. 2B, C). For control groups treated with only PBS, no combination of culture condition significantly differed from that of WTN-WTACM (versus KON-WTACM p = 0.7449; WTN-KOACM p = 0.0670; KON-KOACM p = 0.7509; Fig. 2H).

For WT neurons grown in WTACM, we found that UTP did indeed influence neurite complexity: 10 μM and 100 μM UTP treatments led to an increase in the total number of Sholl intersections relative to PBS control (10 μM UTP p = 0.0115, n = 6 and 100 μM UTP p = 0.0172, n = 8), but not 0.1 μM or 1 μM UTP (p = 0.5939 and p = 0.1179 respectfully; n = 8) (Fig. 2B, D). The purinergic-mediated increase in WTN-WTACM arborization, with 10 μM UTP for example, is broadly distributed throughout each Sholl radius, with significant effects of treatment (Ɛ; p = 0.0006), genotype (*; p < 0.0001) and Sholl radius (δ; p < 0.0001), as well as significant interactions of genotype x radius (σ; p = 0.0188) and genotype x treatment (ω; p < 0.0001) (Fig. 2C). Fmr1 KO neurons grown in WTACM also increased branching in response to exogenous UTP (Fig. 2E, I), as three of the four treatment concentrations exhibited elevated total Sholl intersections relative to PBS (0.1 μM UTP, p = 0.0919, n = 8; 1 μM UTP, p = 0.0274, n = 8; 10 μM UTP, p = 0.0281, n = 6; and 100 μM UTP, p = 0.0484, n = 8). However, neither WT neurons grown in Fmr1 KO ACM with UTP (0.1 μM UTP, p = 0.8677, n = 8; 1 μM UTP, p = 0.3251, n = 6; 10 μM UTP, p = 0.6017, n = 8; 100 μM UTP, p = 0.8266, n = 8) nor Fmr1 KO neurons in similar conditions (0.1 μM UTP p = 0.2301, n = 8; 1 μM UTP p = 0.9989, n = 8; 10 μM UTP p > 0.9999, n = 6; 100 μM UTP p = 0.9222, n = 8) demonstrated differences in the number of Sholl intersections relative to PBS (n = 8) (Fig. 2F, G, J).

Fig. 2
figure 2

Sholl analysis of WT and Fmr1 KO primary neurons cultured with WT or Fmr1 KO astrocyte-conditioned media in the presence of UTP (0.1 μM, 1 μM, 10 μM, 100 μM) or PBS control). (A) Genotype conditions utilized for Sholl analysis. (B) Representative traces of WT-WTACM and KON-KOACM neurons treated with PBS or 10 μM UTP. (C) Number of Sholl intersections at each radius from the neuronal soma, in WTN-WTACM and KON-KOACM conditions treated with PBS and 10 μM UTP. Significant main effects and interactions (p < 0.05) denoted by the following characters: * genotype; δ Sholl radius; Ɛ treatment; σ genotype x radius; ω genotype x treatment. D-G. UTP treatment (10–100 μM) increased the total number of Sholl intersections relative to PBS control in (D) WTN-WTACM (p\(\le\)0.0115) and (E) KON-WTACM conditions (p\(\le\)0.0281), but not in (F) WTN-KOACM or (G) KON-KOACM. Differences in overall branching levels between genotypes are shown in (H) PBS control (no significant differences), (I) KON-WTACM (p\(\le\)0.0670) and (J) KON-KOACM (p\(\le\)0.0172) in relation to WTN-WTACM. All data presented as means +/- SEM, with gray horizontal lines indicating control means. n=8; n=6 for 10 μM WTN-WTACM, KON-WTACM, KON-KOACM, and 1 μM WTN-KOACM. Significant differences between groups denoted by *; p<0.05

P2Y2 Receptor Expression is Decreased in Fmr1 KO Neurons

Since UTP promotes neurite outgrowth and branching, we investigated the expression of P2Y receptors with high UTP affinity in WT and Fmr1 KO primary cortical neurons. Notably, neuronal P2Y2 receptor levels were significantly reduced in Fmr1 KO cortical neurons relative to WT (p = 0.0315, n = 6, Fig. 3B). There were no other differences between WT and Fmr1 KO neurons in the expression of other high affinity UTP receptors, including the P2Y1 receptor (p = 0.2119, WT n = 7 and Fmr1 KO n = 8, Fig. 3A), the P2Y4 receptor (p = 0.8484, WT n = 4 and Fmr1 KO n = 3, Fig. 3C), or the P2Y6 receptor (p = 0.7802, n = 5, Fig. 3D).

Fmr1 KO Neuronal Activity is Significantly Elevated in Co-culture Conditions

Due to the significant influence of astrocyte secreted factors on neurite outgrowth during early development, we next examined how early modulation of outgrowth impacted the formation of neural connections in vitro, using astrocyte-neuron co-cultures plated on microelectrode arrays (MEAs). MEAs are electrophysiological preparations that permit the recording of a simplified neural circuit in vitro and were used to record neuronal firing activity 3x per week from 7 to 35 days of network development. Representative immunofluorescent images of co-cultures at 7DIV (Fig. 4A) demonstrate the close association between neurons and astrocytes, labelled with mitogen-associated protein 2 (MAP2) and glial fibrillary associated protein (GFAP), respectively. Definitions of the MEA parameters analyzed are presented in Table 1.

Fig. 3
figure 3

Quantification of P2Y1, P2Y2, P2Y4, and P2Y6 excitatory purinergic receptors in neurons cultured from WT and Fmr1 KO embryonic (∼ E16) cortex. Representative western blots and ß-actin loading controls are shown on each left panel, and neuron-associated receptor levels, expressed as fold change relative to WT means, are shown on each right panel. Expression of (B) neuronal P2Y2 (47 kDa; n = 6) was reduced in Fmr1 KO cultures relative to WT (p = 0.0315), while (A) P2Y1 (66 kDa; WT n = 7/Fmr1 KO n = 8), (C) P2Y4 (50 kDa; WT n = 4; Fmr1 KO n = 3), and (D) P2Y6 (65 kDa; n = 5) receptor expression did not differ between genotypes. All data presented as means +/- SEM. Significant differences between genotypes denoted by *; p < 0.05

Mean firing rates of naïve vs. CNQX + AP-5-treated cells were not significantly different within either genotype culture condition at 7DIV, but by 10-12DIV, there was a visible decrease in the amount of activity detected from both WT and Fmr1 KO CNQX + AP-5-treated cultures. In WT cultures, significant effects of treatment (Ɛ, p < 0.0001), time (δ, p < 0.0001), and treatment x time (ψ, p < 0.0001, Fig. 4D) were reported, as well as between treatment groups (7DIV versus 10DIV or 12DIV, both p < 0.0001). In Fmr1 KO co-cultures, significant main effects of treatment (Ɛ, p < 0.0001), time (δ, p = 0.0124), and treatment x time (ψ, p = 0.0412, Fig. 4D) were also found, along with significant differences revealed by post-hoc comparisons at 10DIV and 12DIV (10DIV, p = 0.0187; and 12DIV, p = 0.0008).

Another important parameter to control was the overall health and firing capacity of each culture. To do this, we classified “active” electrodes within each MEA well as those recording > 5 spikes per minute throughout the duration of the experiment. Wells with at least 9/16 (> 50%) active electrodes at > 10DIV were retained for analysis of firing characteristics. Among these selected wells, an average of 12.68 of the 16 available electrodes per well consistently detected neuronal firing in WT co-cultures (n = 13 at 7DIV and n = 6 by 35DIV) once synaptic activity was established; versus 11.77 of 16 electrodes in Fmr1 KO co-cultures (p = 0.2115, n = 15 at 7DIV and n = 8 by 35DIV, Fig. 4E). A significant effect of time was noted (δ; p = 0.0040), as the number of active electrodes was low during the earliest stages of recording, but rapidly stabilized as cultures developed functional networks.

To determine the general firing characteristics of WT vs. Fmr1 KO neurons in co-culture, we compared their weighted mean firing rate, which measures the total number of neuronal spikes (i.e. putative action potentials) within the 10 min recording period normalized to the number of active electrodes. Within the first 14DIV, Fmr1 KO neurons demonstrated a similar weighted mean firing rate in comparison to WTs (effects of genotype; p = 0.0690 and time δ; p < 0.0001), which was maintained as the cultures matured (effect of genotype; p = 0.1644; Fig. 4F). While weighted mean firing rate indicates the number of neuronal spikes, their temporal relation to each other can be measured using a synchrony index, with values close to 1 indicating a high degree of neuronal synchrony. Markedly, Fmr1 KO firing synchrony was significantly reduced relative to WT throughout 35DIV, with significant effects of genotype (*, p = 0.0247, Fig. 4G) as well as time (δ, p = 0.0363).

Fig. 4
figure 4

Firing characteristics of WT and Fmr1 KO co-cultured neurons between 7-35DIV. Neurons were co-cultured on microelectrode arrays (MEAs) with their respective genotype of astrocytes, then recorded 3x weekly (10 min/recording) from 7-35DIV. (A) Representative images of WT and Fmr1 KO co-cultures at 7DIV, with neurons labelled in red (MAP2), astrocytes labelled in green (GFAP), and nuclei stained in blue (DAPI). Scale bar: 50 μm. (B) Schematic demonstrating MEA metrics measured at a single electrode, adapted from Axion Biosystems (2017). Spikes are shown as pink lines and bursts are shown as black boxes. (C) Representative raster plots of WT and Fmr1 KO neuronal firing at 28DIV and 35DIV. Representative spikes from a single electrode are shown on the top row of each plot, and each subsequent row indicates the activity recorded at a single electrode over a 30 s recording period. Blue bars indicate neuronal bursts, and pink boxes indicate network bursts. (D) Mean firing rate of WT and Fmr1 KO naïve (WT n = 13; Fmr1 KO n = 15) and CNQX + AP-5-treated (WT n = 15; Fmr1 KO n = 12) cultures. WT and Fmr1 KO synaptic activity was effectively blocked by CNQX + AP-5 (10 μM) at 10DIV and 12DIV, but not 7DIV. E-G. General characteristics of WT (n = 13 at 7DIV; n = 6 by 35DIV) and Fmr1 KO (n = 15 at 7DIV; n = 8 by 35DIV) neuronal activity. The number of active electrodes in analyzed wells (E) and weighted mean firing rate (F) did not differ between genotypes, but the synchronicity of Fmr1 KO firing was reduced relative to WT (p = 0.0247) (G). H-J. Measurement of WT and Fmr1 KO neuronal activity using single-electrode metrics of burst frequency (p = 0.0064) (H), spikes per burst (p = 0.0071) (I), and inter-spike interval within bursts (p = 0.0002) (J). Notably, Fmr1 KO neurons demonstrated increased burst frequency relative to WT as the co-cultures matured (H). K-M. Comparison of WT vs. Fmr1 KO neuronal activity using network-level metrics of network burst frequency (p = 0.0241) (K), number of spikes per network burst (p = 0.0165) (L), and the number of electrodes participating in network bursts (p = 0.0296) (M). Data points represent means +/- SEM. Main effects/interactions were considered significant at p < 0.05

Genotypic differences were also observed when we assessed the activity and connectivity of neurons measured at the level of single electrodes. Most strikingly, the frequency of neuronal bursting events was elevated in naïve Fmr1 KO neuron-astrocyte co-culture relative to WT. A representative graphic of these bursting events is provided in Fig. 4C, which shows 30 s of bursting (blue lines) and network bursting (pink boxes) activity recorded by each electrode (single row) within a well of 16 MEA electrodes (16 rows shown in total). Neuronal burst frequency steadily increased with culture maturation, and was visibly consistent between genotypes within the first two weeks in culture but diverged at 21DIV (Fig. 4H). We observed significant effects of genotype (*, p = 0.0064) and time (δ, p < 0.0001) on neuronal burst frequency throughout the 7-35DIV recording period, as well as a significant interaction of genotype x time (σ, p = 0.0091). The number of neuronal spikes within each bursting event was significantly higher in WT versus Fmr1 KO co-cultures during the earliest stages (7-21DIV) (effect of genotype *, p = 0.0071, Fig. 4I left panel) but became remarkably consistent between genotypes at later time points. By 28DIV, Fmr1 KO neuronal bursting events contained the same number of spikes as their respective WT bursting events (28-35DIV, p = 0.4506, Fig. 4I right panel), indicating that the frequency of these coordinated firing events had increased in Fmr1 KO co-cultured neurons. The average time between the spikes that comprise a bursting event, or the mean inter-spike interval within bursts, was significantly elevated in Fmr1 KO cultures (Fig. 4J), with main effects of both genotype (*, p = 0.0002) and time (δ, p < 0.0001), as well as an interaction between genotype x time (σ, p = 0.0447).

In line with our observations of single-electrode bursts, the number of spikes per network burst was reduced in Fmr1 KO cultures relative to WT during the first two weeks of recording (7-21DIV) (p = 0.0165, Fig. 4L left panel), then normalized by the end of the recording period (28-35DIV) (p = 0.9730; Fig. 4L right panel). The frequency of network bursts, shown with pink boxes in Fig. 4C, was increased in Fmr1 KO co-culture in comparison to WT (Fig. 4K), with significant effects of both genotype (*, p = 0.0241) and time (δ, p < 0.0001). Reduced synchrony throughout the culture was also significantly reduced in Fmr1 KO co-cultures versus WT (Fig. 4M) (*, main effect of genotype, p = 0.0296). This indicates that while Fmr1 KO neurons in co-culture demonstrated greater levels of spontaneous excitability compared to WTs, the excitatory firing between neurons within the Fmr1 KO co-cultures were less organized and more asynchronous than that of WT neurons in WT conditions.

P2Y Antagonism Normalizes Aberrant Fmr1 KO Neuronal Bursting

To determine whether elevated Fmr1 KO astrocyte P2Y receptor levels [12] influenced burst and network burst frequency in our co-culture systems, we treated WT and Fmr1 KO co-cultures with either the pan-P2Y antagonist suramin (0.1 μM) or the specific P2Y2 antagonist AR-C 118925XX (1 μM and 10 μM) over the 7-35DIV recording period. Notably, treatment led to a robust decrease in the rapid firing of Fmr1 KO neurons over time, which was evident when comparing burst frequency between naïve and AR-C 118925XX or suramin-treated cultures.

Fig. 5
figure 5

Normalization of aberrant neuronal Fmr1 KO bursting and synchrony with P2Y antagonism. WT and Fmr1 KO neurons were co-cultured on microelectrode arrays (MEAs) with their respective genotype of astrocytes, then treated 2x weekly with the selective P2Y2 antagonist AR-C 118925XX (1 μM and 10 μM) or the pan-purinergic antagonist suramin (0.1 μM). Cultures were recorded 3x weekly (10 min/recording) from 7-35DIV. A. Single-electrode burst frequency following treatment with 1 μM AR-C 118925XX. Pooling both AR-C 118925XX treatment concentrations revealed a significant decrease in burst frequency at 28DIV (p = 0.0383) (B) that normalized Fmr1 KO bursting to WT levels. C. Culture-wide synchrony index of 1 μM AR-C 118925XX-treated vs. naïve neurons. A transient elevation in Fmr1 KO AR-C 118925XX (pooled) synchrony index was evident at 10DIV (p = 0.0144) (F) but was absent by 33DIV (G). D. Network burst frequency of naïve and AR-C 118925XX-treated neurons. A significant decrease in WT network burst frequency at 33DIV was observed following pooled AR-C 118925XX treatment (p < 0.0001) (E). H. Burst frequency of suramin-treated neurons, with further comparison showing that suramin did not significantly reduce Fmr1 KO burst frequency at 28DIV (I). J. Synchrony index of naïve and suramin-treated neurons, with specific comparisons highlighted at 10DIV (p = 0.0144) (M) and 33DIV (N). K. Network burst frequency following suramin treatment, with further comparison showing a reduction in WT network burst frequency at 33DIV (p = 0.0003) (L). Naïve: WT n = 13 at 7DIV/n = 6 by 35DIV and Fmr1 KO n = 15 at 7DIV/n = 8 by 35DIV. AR-C 118925XX 1 μM: WT n = 14 at 7DIV/n = 8 at 35DIV and Fmr1 KO n = 12 at 7DIV/n = 2 at 35DIV; AR-C 118925XX 10 μM: WT n = 13 at 35DIV/n = 7 at 35DIV and Fmr1 KO n = 11 at 35DIV/n = 7 at 35DIV. Suramin: WT n = 10 at 7DIV/n = 8 at 35DIV; Fmr1 KO n = 9 at 7DIV/n = 5 at 35DIV. Data points on line graphs represent means +/- SEM. Box plots denote the interquartile range with whiskers extending to minimum and maximum values. Both main effects/interactions (line graphs) and post-hoc comparisons between treatments and genotypes (box plots) were considered significant at p < 0.05

As seen in Fig. 5A, Fmr1 KO naïve (n = 15) and 1 μM AR-C 118925XX-treated (n = 12) co-cultures followed a similar burst frequency trajectory for the first 24DIV, then at 26DIV, AR-C-treated Fmr1 KO neurons rapidly decreased bursting frequency, as AR-C appeared to normalize Fmr1 KO neuron activity to WT naïve levels. Here, we observed significant main effects of treatment (ε, p < 0.0001), genotype (*, p < 0.0001), and time (δ, p < 0.0001) on burst frequency over the 7-35DIV period, as well as significant interactions between treatment x time (ψ, p = 0.0005), genotype x time (σ, p = 0.0093), and treatment x genotype (ω, p = 0.0212). The 1 μM and 10 μM AR-C 118925XX treatments were equivalent in their ability to decrease neuronal burst activity within a single genotype (WT 1 μM, n = 14, vs. WT 10 μM, p = 0.7874; Fmr1 KO 1 μM, n = 12, vs. KO 10 μM, n = 11, p = 0.6510), so data from these treatments were pooled for group comparisons with naïve groups shown in Fig. 5B. A significant increase in burst frequency was observed in Fmr1 KO naïve neurons relative to WT counterparts (*, p = 0.0383) at 28DIV, but this elevated burst frequency was normalized to WT levels following Fmr1 KO AR-C 118925XX treatment (WT naïve vs. Fmr1 KO AR-C 118925XX, p = 0.9409; Fmr1 KO naïve vs. Fmr1 KO AR-C 118925XX, ε, p = 0.0380; Fig. 5B).

Similar to cultures treated with AR-C, in those treated with Suramin we observed significant main effects of treatment (ε; p < 0.0001), genotype (*; p < 0.0001), and time (δ; p < 0.0001) on neuronal burst frequency (Fig. 5H), as well as a significant interaction between genotype x time (σ; p = 0.0149). The burst frequency of Fmr1 KO co-cultures (n = 9) appeared to be normalized to WT levels (n = 10) following suramin treatment after 1 month in vitro, with genotypic differences no longer present (Fig. 5I). As all treatments were done in parallel, the naïve groups acted as controls for each drug treatment and their values are shown in relative comparison to each treatment separately.

P2Y2 antagonism also impacted the coordinated firing of neurons in network bursts, which was highly evident in WT treatment groups, as WT AR-C treated neurons (n = 14) had markedly decreased network burst frequency relative to WT naïve neurons (n = 13) during the final recording week (Fig. 5D, E). Comparing network burst frequency in WT and Fmr1 KO naïve cultures with 1 μM AR-C 118925XX treated cultures, we observed significant main effects of treatment (ε, p = 0.0109), genotype (*, p < 0.0001), and time (δ, p < 0.0001), as well as a significant interaction between genotype x time (σ, p < 0.0008). By 33DIV, the network burst frequency of WT AR-C 118925XX-treated cultures was significantly reduced compared to WT naïve and Fmr1 AR-C 118925XX-treated neurons (p = 0.0061 and p < 0.0001 respectively, Fig. 5E). While specific P2Y2 antagonism decreased the frequency of bursts at a single electrode, it did not significantly alter Fmr1 KO network burst frequency relative to that of the naïve group (p = 0.6524, Fig. 5E). With suramin treatment, network burst frequency differed between genotypes and treatments (Fig. 5K), with significant main effects of treatment (ε; p = 0.0475), genotype (*; p < 0.0001), and time (δ; p < 0.0001), as well as interactions between genotype x time (σ; p < 0.0001) and genotype x treatment (ω; p = 0.0005). We believe these results were largely due to decreased network bursting activity in suramin-treated WT cells. This reduced activity was particularly evident at 33DIV (Fig. 5L), where suramin treatment of WT co-cultures (n = 8) resulted in significantly lower network burst frequency than suramin-treated Fmr1 KO neurons (n = 5; p = 0.0120).

P2Y Antagonism and Aberrant Synchronization of Fmr1 KO Activity

The synchrony index of Fmr1 KO co-cultures undergoing P2Y2 antagonism was transiently normalized within the first ∼ 2 weeks in vitro but returned to Fmr1 KO naïve levels by ∼ 24DIV (Fig. 5C). Significant main effects of treatment (ε; p = 0.0019), genotype (*; p < 0.0001), and time (δ; p < 0.0001) were noted when genotypes and treatment groups were compared over the full 7-35DIV period (Fig. 5C). A significant increase in the synchrony index was noted in Fmr1 KO AR-C 118925XX-treated cultures relative to Fmr1 KO naïve at 10DIV (p = 0.0144; Fig. 5F), but by 33DIV this difference was no longer present. Only genotypic differences in synchrony index were evident at 33DIV (WT vs. Fmr1 KO AR-C treated, p = 0.0003; WT vs. Fmr1 KO naïve, p = 0.0161; Fig. 5G).

In suramin-treated cultures, we also observed significant main effects of treatment (ε; p = 0.0027), genotype (*; p < 0.0001), and time (δ; p < 0.0001) on synchrony index (Fig. 5J), as well as a significant interaction between the two (ω; p = 0.0423). However, there was no effect of suramin treatment on WT or Fmr1 KO synchrony relative to naïve at 10DIV (p = 0.9820 and p = 0.6558, respectively) or at 33DIV (p = 0.0519 and p = 0.9821, respectively).

High-dimensional Clustering of WT and Fmr1 KO Co-culture Neural Activity

High-dimensional clustering with RSKC revealed unique subgroups within WT and Fmr1 KO co-cultures at 28DIV. In total, 23 distinct MEA metrics were used from each co-culture condition (i.e. “features”; outlined in Table 1), and these features were used to partition samples of each genotype into clusters based on their similarities. At 28DIV, the WT samples formed 6 distinct clusters, and the Fmr1 KOs formed 5 distinct clusters. Determination of distinct clustering of the two genotypic conditions and the features that defined the clusters was used to help highlight specific differences between synaptic behaviors of treatment groups not determined by specific comparisons of bursting presented in Figs. 4 and 5.

Over half of the WT naïve samples partitioned into Cluster 4, while other singles were found in Clusters 1, 3, and 6 (Fig. 6A, C). Co-cultures treated with ARC-118925XX and the pan P2Y antagonist suramin were often found clustered together, as seen in Clusters 2, 3, 5, and 6 (Fig. 6A, C). Samples treated with P2Y2 antagonist ARC-118925XX had the least restricted pattern of activity across their features, as they were present in all 6 clusters (Fig. 6A, C). Among the 23 features (defined in Table 1) used to partition WT clusters, network burst frequency (NBF) was most cluster-defining, as reflected by it having the largest average feature weight (mean weight = 0.388; Fig. 6B). The importance of NBF was also captured in the weighted t-SNE plot, as the clusters displayed similar activity on the t-SNE 1 axis as they did about the NBF variable (data not shown). Other features which highly influenced WT clustering included the number of electrodes participating in network bursts, weighted mean firing rate, synchrony index, and several single electrode-related parameters (Fig. 6B).

Relative to WT, the Fmr1 KO co-cultures followed a very different activity profile. Suramin-treated Fmr1 KO co-cultures displayed the narrowest activity profile, as they were found in only 2 of the 5 clusters (Fig. 6D, F). In comparison, naive and ARC-118925XX samples were each spread across 4 of the 5 clusters (Fig. 6D, F). Unlike the WT clusters, the Fmr1 KO clusters reflected both treatment-specific and non-specific effects: Cluster 2 consisted solely of ARC-118925XX-treated samples and Cluster 3 consisted entirely of naïve samples, while Clusters 4 and 5 were heterogeneous (Fig. 6D, F). In forming these groups, RSKC determined that a synchrony-related metric (width at half height of normalized cross correlation, WAHHONCC) was the most useful feature (mean weight = 0.502; Fig. 6E). Specifically, the progression of Fmr1 KO clusters about t-SNE 1 matches their progression across this metric (data not shown). The two additional synchrony-related features, namely synchrony index and area under normalized cross-correlation, were also highly involved in the partitioning of these RSKC clusters, along with differences in single and burst timing (NDIQR, NNDIQR) (Fig. 6E). Thus, P2Y antagonism elicited surprisingly different main effects on firing behaviors in Fmr1 KO and WT cultures that were not detected in our pairwise analysis. Here, P2Y antagonism appeared to largely influence network bursting in WT conditions and synchronization of firing behavior in Fmr1 KO conditions.

In addition to these key findings, this analysis also highlighted several other differences among the genotype conditions not included in the previous figures (Figs. 4 and 5). One noted genotypic difference was the number of factors within single-electrode and network connectivity categories that highly contributed to the groupings within the t-SNE plots. For WT conditions, there were 6 factors within the single-electrode connectivity category that contributed 20% or higher to cluster-defining compared to only two that matched that level of weighting in the Fmr1 KO conditions. The same was true for parameters related to network connectivity, where two parameters had much higher contributions in WT cultures than others in the Fmr1 KO conditions. In the Fmr1 KO conditions, these parameters largely measured interval time parameters of either single burst or network activity, including the time between single burst events (normalized duration interquartile range), the regularity of time between network bursts (network normalized duration of interquartile range and network burst-interval coefficient of variation) (Fig. 6E). In the WT conditions, contributing parameters were much more balanced and included measurements such as the number of bursting electrodes, time intervals between spikes and the number of spikes within a bursting event (Fig. 6B). Together, this suggests that alterations to firing activity in the Fmr1 KO cultures are being largely driven by the frequency of spiking and bursting activity rather than global changes including the duration, activity or the magnitude of responses.

Fig. 6
figure 6

High-dimensional clustering of 28DIV WT and Fmr1 KO MEA data using RSKC. A total of 23 measured MEA metrics, defined in Table 1, were used to cluster individual samples of each genotype. Pie charts show the proportion of WT (A) and Fmr1 KO samples (D) that were assigned to each cluster by RSKC. Bar graphs constructed for each feature show their average RSKC weight across 100 iterations, with SEM error bars (B, E). The results of RSKC were input into the t-SNE algorithm to visualize high-dimensional relationships between WT samples (C) and Fmr1 KO samples (F) in 2-dimensional space

Discussion

Given the highly growing prevalence of ASDs and co-morbid conditions, there is an increasing demand for effective treatments regardless of syndrome etiology. Given the integral roles glial cells play in neurodevelopmental disorders, best treatment strategies need to also target both neuronal and glial aberrant activity in order to correct neurological function. Thus, purinergic signalling is an attractive candidate system given the widespread roles it plays in glial-neuronal function. This study highlights astrocyte-mediated signalling as a central element in the development of neuronal phenotypes and reveals that correction of dysfunctional purinergic signalling is sufficient to prevent aberrant FXS neuronal activity.

Normal Neurite Outgrowth and Complexity is Enhanced by Purinergic Signalling

In early cortical development, neurons extend actin-rich growth cones that probe the CNS environment for cues in pathfinding [reviewed in 31, 32]. Rapid actin depolymerization and repolymerization cycles facilitate the addition of actin monomers to extend the axon [33]. Purinergic modulation of the actin-severing protein cofilin is known to elevate both neurite outgrowth and branching in vitro [34, 35]. In addition, P2Y receptors broadly activate the PI3K/Akt signalling pathway to influence axonal elongation [36,37,38]. In line with this, we observed that P2Y activation via exogenous UTP promoted neurite growth and arborization complexity of all neurons grown in WT ACM. Notably, the absence of FMRP in Fmr1 KO neurons did not impair their capacity for purinergic-mediated growth, since unlike WT neurons, both the length and arborization of Fmr1 KOs were significantly enhanced in response to low concentrations of UTP application. Neurite length of Fmr1 KO neurons was also significantly greater than that of WT neurons when treated with high concentration UTP in WT ACM.

Given the enhanced sensitivity of Fmr1 KO neurons to purinergic agonism in WT ACM, we compared Fmr1 KO and WT neuronal expression of select purinergic receptors with affinity for UTP or its derivatives. Surprisingly, Fmr1 KO neurons had a reduced level of P2Y2 receptor expression in relation to WT neurons, but equivalent expression levels of P2Y1, P2Y4, and P2Y6 receptors. Specifically, P2Y2 activation alone has been shown to promote neurite outgrowth via phosphorylation of cofilin [34, 35], while P2Y4 and P2Y6 -mediated growth occurs primarily via the promotion of brain-derived neurotrophic factor signalling [39, 40]. Taken together, P2Y receptors can influence neurite outgrowth by a variety of mechanisms that may synergistically promote growth and arborization. Overall, the reduction of P2Y2 in Fmr1 KO neurons did not constrain the capacity for growth of these neurons in response to UTP and may represent attempted compensation by the neurons to prevent overactivation.

Abnormal Fmr1 KO Neurite Outgrowth and Activity is Primarily Astrocyte-mediated

While UTP effectively increased neurite length and branching in WT ACM conditions, this was not the case with Fmr1 KO ACM. In naïve conditions, both WT and Fmr1 KO neurons treated with Fmr1 KO soluble factors had significantly higher levels of outgrowth compared to those grown in WT ACM. Addition of exogenous UTP did not further promote growth of these cultures, suggesting that purine levels may already be elevated in Fmr1 KO ACM. In line with this, P2Y receptor expression and activation on Fmr1 KO cortical astrocytes is elevated in primary cultures [12] and P2Y activation leads to calcium mobilization and purine secretion [11, 41]. Notably, high concentrations of UTP treatment on neurons in WT ACM led to a similar degree of growth enhancement as Fmr1 KO ACM did alone.

The influence of ACM on neurite outgrowth demonstrates the integral role of astrocyte signalling in early development. Although neuronal FMRP is expressed within dendrites and axonal growth cones [42] and has a role in axonal outgrowth and targeting [43, 44], we found that the absence of FMRP in cortical neurons was not sufficient to influence neurite extension. Our results were consistent with previous reports showing that WT hippocampal neurons assume a Fmr1 KO-like morphology when grown in Fmr1 KO ACM, and that astrocyte-specific silencing of Fmr1 is sufficient to alter mouse motor neuron morphology and delay motor skill acquisition [9, 10]. Thus, therapeutic approaches targeting astrocyte signalling, rather than neuronal signalling, may be more effective at correcting aberrant neuronal morphology and connectivity in FXS.

In Fmr1 KO co-cultures, cortical neurons demonstrated both increased burst frequency and increased network burst frequency by ∼ 3 weeks in vitro. Enhanced activity followed a period of reduced firing, which is typically associated with periods of neurite elongation and synaptogenesis. This activity pattern is consistent with the development of hyperexcitable cortical circuits, such as the early transient period of hypoexcitability followed by elevated neuronal firing in the Fmr1 KO rat visual cortex [45]. Studies using either FXS rodent models or iPSCs have also demonstrated neuronal hyperexcitability across MEA-measured networks [46,47,48] and localized interactions [49, 50] within the first two months of postnatal development. Importantly, deficits in neuronal firing reported for human FXS iPSC-derived neurons suggest that neuronal phenotypes across different brain regions and developmental stages are more variable in human populations [51].

Astrocytes regulate neuronal activity by the release of numerous factors critical to the development and maturation of synapses. An abundance of excitatory synaptic puncta and immature dendritic spines are present in FXS models [15, 16], while several astrocyte soluble factors that promote excitatory synaptogenesis, including hevin, interleukin-6, and thrombospondin-1 (TSP-1), are also elevated in Fmr1 KO cortical astrocytes during the first several weeks of cortical development [12, 16, 21]. On the other hand, a lack of sufficient pruning and refinement of synapses can also lead to hyperactive connections. Approximately 50% of synapses are typically pruned following synaptogenesis to promote network efficiency and coordination [52]. Synaptic pruning is largely mediated via microglia and astrocytes through the activity of phagocytic receptors [53]. Several studies have demonstrated that the absence of postsynaptic FMRP is associated with pruning deficits [54, 55], suggesting that a blend of excess synaptogenesis and inadequate synaptic refinement leads to hyperexcitable bursting in Fmr1 KO neurons (Fig. 7).

In addition to the number of synaptic connections, aberrant synaptic activity may also contribute to differences of excitable circuits observed in FXS. An imbalance of excitatory glutamatergic signalling paired with a lack of inhibitory GABAergic signalling is present in the Fmr1 KO cortex [56, 57], and mediated at least in part by astrocytes. Astrocyte-specific conditional Fmr1 KO mice display reduced cortical glutamate transporter-1 (GLT1) expression [58], which inhibits synaptic glutamate reuptake and leaves excess glutamate in the synaptic cleft. Correction of GLT1 expression rescued not only the resulting dendritic morphology but also normalized elevated excitatory signalling. Interestingly, pharmacological elevation of GLT1 transporters coupled with inhibition of ATP signalling is more effective at preventing seizures in rats than ATP or GLT1 modulation alone, suggesting converging functions of purinergic and glutamatergic signalling on epileptic activity [59].

Fig. 7
figure 7

Potential mechanisms of action incited by elevated purinergic signalling in the Fmr1 KO cortex include: (1) enhanced P2Y activation and intracellular Ca2+ levels in astrocytes; (2) increased release of synaptogenic factors (ex. TSP-1); (3) promotion of excitatory synaptic activity; (4) greater glial-mediated P2Y activation in adjacent astrocytes; and (5) elevated neuronal P2Y stimulation and PI3K/AKT-mediated axonal growth. Created with BioRender.com

Hyperexcitation of Fmr1 KO Co-cultures is Modulated by Purinergic Dysregulation

Purinergic-driven activation of astrocytes prompts release of gliotransmitters including glutamate and ATP [41], pro-synaptic soluble factors (e.g. TSP-1) [12], and neuromodulators (e.g. Tenascin-C) [60]. Given this, it is not surprising that antagonism of P2Y receptors could help to normalize aberrant neuronal activity in Fmr1 KO co-cultures. Antagonism via the specific P2Y2 inhibitor ARC-118925XX prevented abnormal neuronal and network bursting activity, suggesting that P2Y2 plays a significant role in mediating this activity in Fmr1 KO co-cultures. Given that P2Y2 expression is significantly higher in Fmr1 KO astrocytes [12] but lower in neurons (Fig. 3) compared to WT, it is likely that antagonism to glial-mediated processes would occur to a greater extent and primarily underlie differences observed in neuronal activation. High-dimensional clustering analysis revealed many similarities between the neuronal activity of samples treated with AR-C 118925XX and suramin, which suggested these treatments were similarly effective at correcting aberrant activity. Notably, P2Y2 receptor levels are elevated in the brains of individuals with epilepsy, and increased levels of astrocyte P2Y2 receptors are positively correlated with epileptiform activity [61, 62]. Increased burst and network burst frequencies during early development may indicate a predisposition toward seizure-like events as cortical networks mature, as seen in a subset of FXS patients [63]. Mitigation of ASD symptoms in adolescents treated with suramin also supports the role of purines in FXS or other ASDs [64], and together with our findings, suggests that purinergic receptors, particularly P2Y2, are an effective target for future treatment approaches.

FXS is typically thought of as a disorder of overconnectivity and hypersynchrony, yet previous studies have reported both over- and underconnectivity across various brain regions, as well as both increased and decreased synchrony of firing [8, 49, 65,66,67]. For instance, overall neuronal connectivity in children with ASDs is transiently reduced relative to typically developing children, but is regionally elevated in the frontal cortex, indicating that connectivity is differentially regulated across brain regions and developmental stages [68]. Here, we observed a number of deficits in the synchronicity of Fmr1 KO neuronal firing, both within local and culture-wide networks. At the level of a single electrode, the duration between spikes within a burst (i.e. inter-spike interval within bursts) was elevated in Fmr1 KO cultures during time frames associated within increased burst frequency, indicating that while neurons in local networks engaged in more frequent bursts, their firing within those bursts was less tightly regulated. Overall firing across culture-wide networks was also less synchronous in Fmr1 KO co-cultures than WTs, perhaps as a consequence of elevated single-electrode burst firing.

These discrepancies in connectivity and synchronicity may be understood by considering the role of inhibitory interneurons, which control the regularity of neuronal firing to promote the spread of synchronized excitation across a network [69]. In Fmr1 KO mouse somatosensory cortical slices, GABAergic interneurons displayed reduced activity in response to glutamatergic agonism, and this lack of inhibitory input was found to impair the synchronicity of evoked excitatory neuronal firing [66]. Differences in spatial connectivity are also evident in the barrel cortex of FXS mice, with projection neurons of Fmr1 KO mice less likely to establish functional synaptic connections than WT [70]. The lack of effect of P2Y antagonism on Fmr1 KO synchrony index suggests that purinergic signalling plays a role in regulating the establishment and/or activity of neuronal connections, but not in coordinating them at the network level. Further research into the molecular mechanisms leading to the potential aberrant synchronization of neuronal activity during development could help correct fine-tuning circuitry in FXS and other ASDs.

Conclusions

Our current findings demonstrate that Fmr1 KO astrocyte soluble factors, such as purines or pyrimidines, promote neurite elongation processes that initiate the formation of neural networks. Furthermore, neuronal hyperexcitation present in Fmr1 KO cortical astrocyte-neuron co-cultures can be normalized with specific antagonism of P2Y2 receptors. Future research targeting P2Y2 antagonism in either astrocytes or neurons alone will help discern its cellular role in eliciting enhanced activity in the Fmr1 KO cortex and its potential as a therapeutic target for FXS.