Original Research ARTICLE
The BDNF val-66-met Polymorphism Affects Neuronal Morphology and Synaptic Transmission in Cultured Hippocampal Neurons from Rett Syndrome Mice
- Department of Neurobiology, Civitan International Research Center, University of Alabama at Birmingham, Birmingham, AL, United States
Brain-derived neurotrophic factor (Bdnf) has been implicated in several neurological disorders including Rett syndrome (RTT), an X-linked neurodevelopmental disorder caused by loss-of-function mutations in the transcriptional modulator methyl-CpG-binding protein 2 (MECP2). The human BDNF gene has a single nucleotide polymorphism (SNP)—a methionine (met) substitution for valine (val) at codon 66—that affects BDNF’s trafficking and activity-dependent release and results in cognitive dysfunction. Humans that are carriers of the met-BDNF allele have subclinical memory deficits and reduced hippocampal volume and activation. It is still unclear whether this BDNF SNP affects the clinical outcome of RTT individuals. To evaluate whether this BDNF SNP contributes to RTT pathophysiology, we examined the consequences of expression of either val-BDNF or met-BDNF on dendrite and dendritic spine morphology, and synaptic function in cultured hippocampal neurons from wildtype (WT) and Mecp2 knockout (KO) mice. Our findings revealed that met-BDNF does not increase dendritic growth and branching, dendritic spine density and individual spine volume, and the number of excitatory synapses in WT neurons, as val-BDNF does. Furthermore, met-BDNF reduces dendritic complexity, dendritic spine volume and quantal excitatory synaptic transmission in Mecp2 KO neurons. These results suggest that the val-BDNF variant contributes to RTT pathophysiology, and that BDNF-based therapies should take into consideration the BDNF genotype of the RTT individuals.
The neuroprotective effects of BDNF have been demonstrated in various animal models of neurological and psychiatric disorders. BDNF dysfunction has been implicated in pathophysiological mechanisms of Rett syndrome, the most common intellectual disability in women after Down syndrome (1:10,000 incidence). The BDNF val66met polymorphism is carried by approximately 30% of people worldwide and has been associated with cognitive deficits. Whether this BDNF single nucleotide polymorphism (SNP) contributes to RTT and how it affects the clinical outcome of RTT individuals remain unclear. Our findings help to understand the impact of val66met polymorphism on neuronal morphology and excitatory synaptic transmission in Rett mice, extend the current knowledge regarding BDNF’s role in RTT pathophysiology, providing pre-clinical evidence for BDNF-based therapies for RTT individuals.
Brain-derived neurotrophic factor (Bdnf) has been implicated in several neurological disorders due to its widespread function in neuronal development, plasticity, differentiation and survival (Poo, 2001; Fahnestock et al., 2002; Gines et al., 2010; Hartmann et al., 2012). The main function of BDNF in the adult brain is to regulate synaptic strength, promote synaptic growth and participate in plasticity-related processes underlying learning and memory (Tyler et al., 2002; Yamada et al., 2002; Lu, 2003a; Lu et al., 2013). A reduction of BDNF levels can cause impaired synaptic transmission and plasticity, reduced number of synapses and deficits in learning and memory in various pathological conditions (Mu et al., 1999; Durany et al., 2000; Ferrer et al., 2000; Lu et al., 2013).
The human BDNF gene has a SNP—a methionine (met) substitution for valine (val) at codon 66—that affects BDNF trafficking and activity-dependent release (Egan et al., 2003). This SNP is associated with a variety of neuropsychiatric disorders and cognitive dysfunction (Momose et al., 2002; Neves-Pereira et al., 2002; Ventriglia et al., 2002; Egan et al., 2003; Sen et al., 2003; Lu et al., 2013). BDNF promotes synapse formation and refinement by regulating axonal and dendritic branching and growth (Cohen-Cory and Fraser, 1995; McAllister et al., 1996; Lu et al., 2013). Decreased BDNF release may alter neuronal morphology, leading to changes in brain volume. Indeed, several studies have reported that humans and rodents carrying the met BDNF allele display smaller hippocampal volumes and exhibit profound deficits in hippocampal-dependent memory tasks, suggestive of reduced neuroplasticity (Egan et al., 2003; Hariri et al., 2003; Pezawas et al., 2004; Szeszko et al., 2005; Chen et al., 2006; Ninan et al., 2010; Bath et al., 2012; Baj et al., 2013).
BDNF has been implicated in Rett syndrome (RTT), an X-linked neurological disorder caused by loss-of-function mutations in the transcriptional modulator methyl-CpG-binding protein 2 (MECP2; Amir et al., 1999; Percy and Lane, 2005; Bienvenu and Chelly, 2006; Chahrour and Zoghbi, 2007). MeCP2 binds to the Bdnf promoter and directly regulates Bdnf expression in an activity-dependent manner (Chen et al., 2003; Martinowich et al., 2003; Zhou et al., 2006). Bdnf mRNA and protein levels are lower in MeCP2-deficient models and RTT individuals (Chang et al., 2006; Wang et al., 2006; Ogier et al., 2007; Li et al., 2012), and its overexpression rescues cellular and behavioral deficits (Chang et al., 2006; Chahrour and Zoghbi, 2007; Larimore et al., 2009). Dysfunctional BDNF signaling has been demonstrated in several pathophysiological mechanisms of RTT disease progression (Katz, 2014; Li and Pozzo-Miller, 2014), but the contribution of the BDNF val66met SNP to RTT symptoms remains unclear: one study reported that the met BDNF allele is protective for seizure onset in RTT individuals (Nectoux et al., 2008), while another described that it leads to earlier seizure onset (Zeev et al., 2009). Therefore, it is highly relevant to characterize the role of this BDNF SNP in synaptic and cellular features of Mecp2 deficient neurons from RTT mice. Our findings revealed that while met-BDNF does not promote dendritic growth and excitatory synapse formation in wildtype (WT) neurons, it actually reduces dendritic complexity, dendritic spine volume and quantal excitatory synaptic transmission in Mecp2 knockout (KO) neurons.
Materials and Methods
Breeding pairs of mice lacking exon 3 of the X chromosome-linked Mecp2 gene (B6.Cg-Mecp2tm1.1Jae, “Jaenisch” strain in a pure C57BL/6 background; Chen et al., 2001) were purchased from the Mutant Mouse Regional Resource Center at the University of California, Davis. A colony was established at the University of Alabama at Birmingham (UAB) by mating WT males with heterozygous Mecp2tm1.1Jae mutant females, as recommended by the supplier. Genotyping was performed by PCR of DNA sample from tail clips. Hemizygous Mecp2tm1.1Jae mutant males (called KOs) are healthy until 5–6 weeks of age, when they begin to show RTT-like symptoms, such as hypoactivity, hind limb clasping, reflex impairments and irregular breathing (Chen et al., 2001). Animals were handled and housed according to the Committee on Laboratory Animal Resources of the National Institutes of Health; all experimental protocols were reviewed annually and approved by the Institutional Animals Care and Use Committee of the UAB.
Primary Culture of Hippocampal Neurons and Transfections
Both hippocampi were dissected from anesthetized postnatal day 0 or 1 (P0–1) male Mecp2 KO mice and WT littermates, and dissociated in papain (20 U/ml) plus DNase I (Worthington) for 20–30 min at 37°C, as described (Amaral and Pozzo-Miller, 2007). The tissue was then triturated to obtain a single-cell suspension, and the cells were plated at a density of 40,000 cells/cm2 on 18 mm poly-L-lysine/laminin coated glass coverslips, and immersed in Neurobasal medium (Life technologies) supplemented with 2% B27 (Life technologies) and 0.5 mM glutamine (Life technologies). Neurons were grown in 37°C, 5% CO2, 90% relative humidity incubators (Thermo-Forma), with half of the fresh medium changed every 3–4 days. After 7–8 days in vitro (DIV), cDNA plasmids encoding either human val-BDNF or met-BDNF (tagged with green fluorescent protein GFP for their localization; 1.6 μg DNA; a gift from Dr. Masami Kojima) were transfected alone or in combination with soluble GFP (for imaging neuronal morphology) using Lipofectamine 2000 (Life technologies) according to the protocol of the manufacturer.
Neurons were fixed 48 h after transfection with 4% (wt/vol) paraformaldehyde/sucrose for 10 min, and incubated in 0.25% (vol/vol) Triton X-100 for 10 min, then washed with PBS. After blocking with 10% (vol/vol) goat serum in PBS, cells were incubated with anti-GFP antibody (1:2000, ab290, rabbit pAb, Abcam) overnight at 4°C, rinsed in PBS, and incubated with Alexa Fluor 488 secondary antibody (1:500, Life Technologies) for 1 h; coverslips were then mounted with Vectashield medium (Vector Laboratories). Images were acquired in a laser-scanning confocal microscope using a solid-state 488 nm laser for excitation, and a 60× 1.4 NA oil immersion lens, and standard FITC dichroic and emission filters (FluoView-300, Olympus; Center Valley, PA, USA). Excitatory synapses were identified with antibodies against glutamate AMPA receptors (GluA1; 1:100, MAB2263, mouse mAb, Millipore) and vesicular glutamate transporter (VGLUT1; 1:300, AB5905, guinea pig pAb, Millipore), and imaged in a confocal microscope (Zeiss LSM510) using a 63× 1.4 NA oil-immersion objective.
Coverslips with hippocampal 9–11 DIV neurons were continuously perfused with artificial CSF (aCSF) containing (in mM): 130 NaCl, 5.4 KCl, 2 CaCl2, 1.2 MgCl2, 20 HEPES, 15 glucose; pH 7.4. Miniature excitatory postsynaptic currents (mEPSC) were recorded in the whole-cell configuration from pyramidal shaped neurons voltage clamped at −70 mV using an Axopatch 200B amplifier (Molecular Devices). The intracellular solution contained (in mM): 120 Cs-gluconate, 17.5 CsCl, 10 Na-HEPES, 4 Mg-ATP, 0.4 Na-GTP, 10 Na2-creatine phosphate, 0.2 Na-EGTA, pH 7.4, 300 mOsm. To pharmacologically isolate mEPSCs, the aCSF contained 0.5 μM TTX, 50 μM D-AP5 and 50 μM picrotoxin (Sigma). Whole-cell currents were digitized at 10 kHz and filtered at 2 kHz. Cells with series resistance >20 MΩ or that changed by ≥20% during the recording are excluded. mEPSCs were detected and analyzed using the MiniAnalysis program (Synaptosoft).
The morphology of neurons was analyzed with the Filament Tracing and Surface Rendering modules of Imaris software (Bitplane). The fraction of cell body or dendrites filled with either val-BDNF-GFP or met-BDNF-GFP relative to the total territory filled with either val-BDNF-GFP or met-BDNF-GFP was calculated using ImageJ using the same threshold for fluorescence intensity. To trace spines, a region of interest (ROI) was selected and a new filament was created using the Autopath mode, as previously described (Swanger et al., 2011). The minimum dendrite end diameter was set at 0.75 μm, and automatic thresholds were used for dendrite surface rendering. The maximum spine length was set at 5 μm. Protrusions longer than 5 μm were rarely observed in neurons at DIV 10 and were not considered as spines. Spines were manually counted and spine density was calculated by quantifying the number of spines per dendritic segment, and normalized to 10 μm of dendrite length. Sholl analysis and branch order analyses were performed using NeuronStudio software (Wearne et al., 2005). The density of excitatory synapses was determined by the number of VGLUT1/GluA1 co-localized puncta per length of GFP-positive dendrite, and normalized to 10 μm of dendrite length. Three randomly selected segments of primary or secondary dendrites (30–40 μm for each segment) were analyzed for spine density and synaptic density; these dendritic segments were located at least one soma diameter away from the soma, and were void of crossing dendrites and axons from other neurons.
Data were presented as mean ± standard error of the mean (SEM), and were compared using unpaired Student’s t-test, one-way ANOVA, or Kolmogorov–Smirnov (K–S) test using Prism software (GraphPad Software, San Diego, CA, USA). Statistical Power was calculated using G*Power (Faul et al., 2007); p < 0.05 was considered significant.
BDNF-GFP Trafficking Is Impaired in Hippocampal Neurons Expressing met-BDNF
We first characterized the distribution of GFP-tagged BDNF in cultured hippocampal neurons from WT mice that were transfected with either val-BDNF or met-BDNF. Forty-eight hours after transfection with cDNA plasmids, BDNF-GFP filled most of the dendritic tree of val-BDNF-expressing neurons, throughout their distal secondary and tertiary dendrites, with a total length comparable to neurons expressing only cytoplasmic GFP (Figures 1A,B; GFP = 2332 ± 250.1 μm, n = 10 neurons; val-BDNF = 1888 ± 184.1 μm, n = 14; p = 0.0791). However, BDNF-GFP was restricted to the cell body and most proximal regions of primary dendrite of neurons expressing met-BDNF. The dendritic length filled with BDNF-GFP in met-BDNF-expressing neurons was significantly smaller than that in val-BDNF-expressing neurons (Figures 1A,B; met-BDNF = 1166 ± 132.7 μm, n = 15; p = 0.0016). Consistently, met-BDNF-expressing neurons showed a larger fraction of soma and a smaller fraction of dendrites filled with BDNF-GFP compared to val-BDNF-expressing neurons (Figure 1C; val-BDNF soma = 21.02 ± 2.68%; met-BDNF soma = 33.91 ± 3.72%; p = 0.0049). These results are consistent with previous studies describing impaired met-BDNF trafficking into distal dendrites (Egan et al., 2003; Chen et al., 2004, 2006). Such restricted distribution of BDNF-GFP was also observed in met-BDNF-expressing hippocampal neurons from Mecp2 KO mice (Figures 1D–F; GFP = 1766 ± 175.4 μm, n = 10 neurons; val-BDNF = 1483 ± 135.6 μm, n = 20; p = 0.1130 GFP vs. val; met-BDNF = 952 ± 98.6 μm, n = 17; p = 0.0021 val vs. met; val-BDNF soma = 21.27 ± 1.73%; met-BDNF soma = 30.68 ± 2.88%; p = 0.0032).
Figure 1. Brain-derived neurotrophic factor (BDNF)-GFP trafficking is impaired in wildtype (WT) and methyl-CpGbinding protein 2 (Mecp2) knockout (KO) hippocampal neurons expressing met-BDNF. (A) Representative surface rendering of 3D reconstructions of WT hippocampal neurons expressing soluble GFP alone (neuronal morphology), val-BDNF-GFP alone, or met-BDNF-GFP alone. Note that the GFP tags of val-BDNF and met-BDNF show their cellular distribution and not the full morphology of the neurons, which is shown by soluble GFP. (B) Total length of dendrites containing soluble GFP, val-BDNF-GFP, or met-BDNF-GFP. (C) Fraction of either val-BDNF or met-BDNF present in somata and dendrites, over the total area occupied by BDNF-GFP (soma plus dendrites). (D) Representative surface rendering of 3D reconstructions of Mecp2 KO hippocampal neurons expressing soluble GFP (complete neuronal morphology) alone, val-BDNF-GFP alone, or met-BDNF-GFP alone. (E) Total length of dendrites containing soluble GFP, val-BDNF-GFP, or met-BDNF-GFP. (F) Fraction of either val-BDNF or met-BDNF present in somata and dendrites, over the total area occupied by BDNF-GFP (soma plus dendrites). **p < 0.01, ***p < 0.001.
Opposite to val-BDNF, met-BDNF Reduces Dendritic Length and Branching in Wildtype and Mecp2 Knockout Neurons
BDNF promotes synapse formation and refinement by regulating axonal and dendritic growth and branching (Cohen-Cory and Fraser, 1995; McAllister et al., 1996; Lu et al., 2013). A reduction in BDNF secretion may affect dendritic and axonal growth. To examine the consequences of the BDNF SNP on dendritic morphology, either val-BDNF or met-BDNF were co-transfected with soluble GFP to fill the entire neuron. In WT neurons, expression of val-BDNF increased dendritic length (Figures 2A,C; WT Ctl = 2332 ± 250.1 μm, n = 10 neurons; WT val-BDNF = 3360 ± 321.5 μm, n = 10; p = 0.0106), but not the branching (Figures 2A,B; WT Ctl = 34.2 ± 3.4 nodes; WT val-BDNF = 38.1 ± 3.6 nodes; p = 0.2226). On the other hand, expression of met-BDNF significantly reduced dendritic length (Figures 2A,C; WT met-BDNF = 1593 ± 240.2 μm, n = 10; p = 0.0245) and branching (Figures 2A,B; WT met = 19.7 ± 2.5 nodes; p = 0.0018).
Figure 2. val-BDNF increases, and met-BDNF reduces dendritic length and branching in both Mecp2 KO and WT neurons, without affecting axonal morphology. (A) Representative 3D reconstructions of WT and Mecp2 KO hippocampal neurons expressing either soluble GFP alone, val-BDNF and soluble GFP, or met-BDNF and soluble GFP. Note that these are images from anti-GFP immunofluorescence labeling, and they reveal the full morphology of the neurons (the GFP tags of val-BDNF and met-BDNF are masked by soluble GFP, which fills the entire cell). (B) Number of dendritic branch points (nodes). (C) Total dendritic length, identified as MAP2(+) processes. *p < 0.05, **p < 0.01, compared to WT; #p < 0.05, ##p < 0.01 compared to Mecp2 KO.
Of relevance to RTT and consistent with in vivo and in vitro observations (Armstrong et al., 1995; Fukuda et al., 2005; Schüle et al., 2008; Belichenko et al., 2009; Baj et al., 2014), Mecp2 KO neurons showed shorter dendrites with fewer branch points than WT neurons (Figures 2A–C; KO Ctl = 1766 ± 175.4 μm, n = 10 neurons; p = 0.0401; KO Ctl = 25.7 ± 2.0 nodes; p = 0.0237). As we showed after shRNA-mediated MeCP2 knockdown (Larimore et al., 2009), expression of val-BDNF increased dendritic length and branching in Mecp2 KO neurons (Figures 2A–C; KO val-BDNF = 3063 ± 240.4 μm, n = 10; p = 0.0015; KO val-BDNF = 39.0 ± 3.2 nodes; p = 0.013). On the other hand, expression of met-BDNF significantly reduced dendritic length and branching in Mecp2 KO neurons (Figures 2A–C; KO met-BDNF = 1130 ± 153.8 μm, n = 12; p = 0.0063; KO met-BDNF = 15.8 ± 2.4 nodes; p = 0.036).
Sholl analysis of dendrites provided additional details of the effects of val-BDNF expression on dendritic complexity (Figure 3). Expression of neither val-BDNF nor met-BDNF affected the number of dendritic branches in WT neurons. On the other hand, expression of val-BDNF increased branch number, while met-BDNF expression decreased branch number in Mecp2 KO neurons (Figure 3A; secondary p = 0.0198; tertiary p = 0.0450; 4th order p = 0.0198; 5th order p = 0.0170; 6th order p = 0.0267; 7th order p = 0.0279; 9th order p = 0.0128; 10th order p = 0.0073). Regarding dendritic length within Sholl concentric circles, val-BDNF expression increased it in both WT and Mecp2 KO neurons, while met-BDNF expression reduced it in both genotypes. These effects were statistically significant at a 30–120 μm radius from the cell body (Figure 3B; WT p = 0.0175 at 30 μm, p = 0.0029 at 60 μm, p = 0.0021 at 90 μm, p = 0.0139 at 120 μm; Mecp2 p = 0.0046 at 30 μm, p = 0.0077 at 60 μm, p = 0.003 at 90 μm, p = 0.0033 at 120 μm).
Figure 3. val-BDNF increases, and met-BDNF reduces dendritic complexity. (A) Number of dendritic branches of each branch order (primary, secondary, tertiary, 4th, etc.; see branch orders in a representative cell in (B). (B) Number of dendritic intersections as a function of distance from the soma. Sholl analysis using concentric circles starting at the soma in 50 μm increments (anti-GFP immunofluorescence). (C) Total dendritic length in each concentric segment, as a function of distance from the soma. (D) Left: representative images of MAP2 staining after neuronal transfection. The axon of neuron is shown by arrow. Right: total axonal length, identified as the only MAP2(−) process in each cell. *p < 0.05 between genotypes and transfections.
Regarding axonal morphology, Mecp2 KO neurons showed shorter axons than WT neurons (Figure 3C; WT Ctl = 712.2 ± 103.8 μm, Mecp2 Ctl = 448.6 ± 50.1 μm; p = 0.0137), but neither val-BDNF nor met-BDNF expression affected axonal length in either WT or Mecp2 KO neurons (Figure 3C; WT val-BDNF = 590.1 ± 45.1 μm, p = 0.1101; WT met-BDNF = 558.8 ± 50.9 μm, p = 0.0756; KO val-BDNF = 614.2 ± 54.4 μm, p = 0.0663; KO met-BDNF = 563.3 ± 53.9 μm; p = 0.0861).
Different to val-BDNF, met-BDNF Fails to Increase Dendritic Spine Density and Volume in Mecp2 Knockout and Wildtype Neurons
Dendritic spines play a fundamental role in synaptic plasticity models of memory formation and storage, and their number and morphology are tightly correlated with synapse strength (Yuste and Bonhoeffer, 2001; Nimchinsky et al., 2002; Chapleau and Pozzo-Miller, 2008; Swanger et al., 2011). BDNF is a strong modulator of dendritic spine density and morphology in cortical and hippocampal pyramidal neurons (Horch and Katz, 2002; Tyler and Pozzo-Miller, 2003; Alonso et al., 2004; Chapleau et al., 2008). Of relevance to RTT and consistent with in vivo and in vitro observations (Belichenko et al., 1994; Chao et al., 2007; Chapleau et al., 2009a, 2012), cultured hippocampal neurons from Mecp2 KO mice have a lower spine density than those from WT mice (Figures 4A,B; WT = 4.25 ± 0.28 spines/10 μm, total dendritic length 888.14 μm; Mecp2 = 3.13 ± 0.3 spines/10 μm, total length 1377.83 μm; K-S test: p = 0.0054). However, the volume of individual spines is larger in Mecp2 KO neurons than in WT neurons (Figures 4A,C; WT = 0.18 ± 0.02 μm3; Mecp2 = 0.21 ± 0.01 μm3; p = 0.002), as observed in CA1 pyramidal neurons of symptomatic Mecp2 KO mice and consistent with stronger excitatory synapses (Li et al., 2016).
Figure 4. met-BDNF fails to increase dendritic spine density and volume like val-BDNF does in Mecp2 KO and WT neurons. (A) Representative dendritic segments (top) and their reconstruction for automated spine detection and volume estimation (bottom) from WT and Mecp2 KO neurons expressing either soluble GFP alone, val-BDNF/soluble GFP, or met-BDNF/soluble GFP (anti-GFP immunofluorescence). (B) Cumulative frequency of spine density per 10 μm of dendrite in WT and Mecp2 KO neurons. (C) Cumulative frequency of spine volume in WT and Mecp2 KO neurons.
Expression of val-BDNF increased dendritic spine density in both WT and Mecp2 KO neurons: cumulative probability distributions showed a statistically significant shift towards higher density (Figures 4A,B; WT val-BDNF = 5.93 ± 0.54 spines/10 μm, total length 1079.72 μm; p = 0.0034; KO val-BDNF = 5.15 ± 0.38 spines/10 μm, total length 819.4 μm; p = 0.0001). In addition, val-BDNF expression increased the volume of individual spines in both WT and Mecp2 KO neurons (Figures 4A,C; WT val-BDNF = 0.2 ± 0.01 μm3; p = 0.0026; KO val-BDNF = 0.3 ± 0.02 μm3; p = 0.0146). On the other hand, met-BDNF expression did not increase dendritic spine density neither in WT nor Mecp2 KO neurons (Figures 4A,B; WT met-BDNF = 3.99 ± 0.29 spines/10 μm, total length 1154.42 μm; p = 0.3117; KO met-BDNF = 3.13 ± 0.34 spines/10 μm, total length 535.55 μm; p = 0.7243). Intriguingly, met-BDNF decreased spine volumes in Mecp2 KO neurons, without affecting the volume of spines in WT neurons (Figures 4A,C; WT met-BDNF = 0.13 ± 0.01 μm3; p = 0.3340; KO met-BDNF = 0.16 ± 0.01 μm3; p = 0.0006).
Opposite to val-BDNF, met-BDNF Reduces the Number of Excitatory Synapses in Wildtype Neurons, and Fails to Promote Excitatory Synaptogenesis in Mecp2 Knockout Neurons
The formation of dendritic spines is critical and precedes the establishment of excitatory synapses (Chapleau and Pozzo-Miller, 2008; Giachero et al., 2013). The number of excitatory synapses, identified as VGLUT1-expressing presynaptic terminals apposed to dendritic spines of GFP-expressing neurons, and their surface levels of GluA1 were determined by triple color immunocytochemistry (Figure 5A). Confirming published observations (Chao et al., 2007; Baj et al., 2014), 7–8 DIV cultured hippocampal neurons from Mecp2 KO mice have significantly fewer excitatory synapses than WT neurons (GluA1/VGLUT1 puncta; Figures 5A,B; WT Ctl = 5.38 ± 0.17 puncta/10 μm, n = 23 neurons; KO Ctl = 4.64 ± 0.28 puncta/10 μm, n = 12; p = 0.0100). However, excitatory synapses from Mecp2 KO mice have significantly higher surface levels of GluA1 (Figures 5A,C; WT Ctl = 1 ± 0.1; KO Ctl = 1.33 ± 0.18; p = 0.0488), consistent with stronger excitatory synapses (Li et al., 2016).
Figure 5. val-BDNF increases, and met-BDNF reduces the number of excitatory synapses. (A) Representative images of immunostaining for surface GluA1 (red) and VGLUT1 (purple) in WT and Mecp2 KO neurons expressing either soluble GFP alone, val-BDNF/soluble GFP, or met-BDNF/soluble GFP; scale bar = 2 μm. Excitatory synapses are shown by arrows. (B) Numerical density of GluA1/VGLUT1 synaptic puncta in WT and Mecp2 KO neurons. (C) Fluorescence intensity of GluA1 synaptic puncta in WT and Mecp2 KO neurons. Fluorescence intensity was normalized to WT neurons. *p < 0.05, **p < 0.01, ***p < 0.001 compared to WT; #p < 0.05 compared to Mecp2 KO.
Expression of val-BDNF significantly increased the number of excitatory synapses in both WT and Mecp2 KO neurons (Figures 5A,B; WT val-BDNF = 6.01 ± 0.19 puncta/10 μm, n = 18; p = 0.0076; KO val-BDNF = 5.42 ± 0.24 puncta/10 μm, n = 20; p = 0.0235), whereas met-BDNF expression did not. In fact, expression of met-BDNF significantly decreased the number of excitatory synapses in WT neurons (Figures 5A,B; WT met-BDNF = 4.72 ± 0.12 puncta/10 μm, n = 15; p = 0.0107) to levels comparable to Mecp2 KO neurons. On the other hand, met-BDNF expression did not affect the number of excitatory synapses in Mecp2 KO neurons (met-BDNF = 4.11 ± 0.28 puncta/10 μm, n = 11; p = 0.0960). Intriguingly, expression of either val-BDNF or met-BDNF increased the surface levels of postsynaptic GluA1 subunits in WT neurons (Figures 5A,C; WT val-BDNF = 1.45 ± 0.14; p = 0.0045; WT met-BDNF = 1.58 ± 0.15; p = 0.0008). On the other hand, expression of either val-BDNF or met-BDNF decreased postsynaptic GluA1 surface levels in Mecp2 KO neurons (Figures 5A,C; KO val-BDNF = 0.97 ± 0.1; p = 0.0327; KO met-BDNF = 0.91 ± 0.17; p = 0.0494).
Opposite to val-BDNF, met-BDNF Reduces mEPSC Frequency in Wildtype Neurons, in Addition to Reducing mEPSC Amplitudes in Mecp2 Knockout and Wildtype Neurons
To characterize the functional role of BDNF SNP in synaptic function, we recorded mEPSC from pyramidal neurons in primary cultures from postnatal WT and Mecp2 KO mice. The amplitude of mEPSCs was not significantly different between WT and Mecp2 KO neurons (Figures 6A,B; WT Ctl = 22.07 ± 0.82 pA, n = 12 neurons; KO Ctl = 22.25 ± 0.176 pA, n = 17; p = 0.4393). On the other hand, the inter-event interval of mEPSCs was smaller in Mecp2 KO neurons (Figures 6A,C; WT Ctl = 3.0 ± 0.6 s; KO Ctl = 2.82 ± 0.3 s; p = 0.0458), indicating a higher mEPSCs frequency. Since Mecp2 KO neurons showed fewer excitatory synapses (Figure 5), this higher mEPSCs frequency might reflect differences in presynaptic transmitter release from individual preterminals.
Figure 6. (A) Representative miniature excitatory postsynaptic currents (mEPSC) recordings from WT and Mecp2 KO neurons expressing either soluble GFP alone, val-BDNF/soluble GFP, or met-BDNF/soluble GFP. (B) Average mEPSC amplitudes (for each cell) and cumulative probability distributions of all mEPSC amplitudes in WT and Mecp2 KO neurons. (C) Average mEPSC inter-event intervals (for each cell) and cumulative probability distributions of all mEPSC inter-event intervals from WT and Mecp2 KO neurons. *p < 0.05, ***p < 0.001 compared to WT; #p < 0.05 compared to Mecp2 KO.
Consistent with the effects of bath-applied recombinant mature BDNF protein (Tyler and Pozzo-Miller, 2001; Amaral and Pozzo-Miller, 2012), expression of val-BDNF increased mEPSC frequency in WT neurons (Figures 6A,C; WT val-BDNF = 2.67 ± 0.37 s; n = 17; p = 0.0382), without affecting mEPSC amplitude (Figures 6A,B; WT val-BDNF = 21.86 ± 1.08 pA; p = 0.4426). Intriguingly, val-BDNF expression decreased mEPSC frequency in Mecp2 KO neurons (Figures 6A,C; KO val-BDNF = 4.77 ± 0.89 s; n = 12; p = 0.0289), without affecting mEPSC amplitude (KO val-BDNF = 23.29 ± 1.92 pA; p = 0.3131). On the other hand, expression of met-BDNF significantly decreased the amplitude of mEPSCs in both WT and Mecp2 KO neurons (Figures 6A,B; WT met = 18.09 ± 0.52 pA, n = 13; p = 0.0002; Mecp2 met = 20.16 ± 0.78 pA, n = 13; p = 0.0372), without affecting mEPSC frequency (Figures 6A,C; WT met-BDNF = 2.68 ± 0.51 s; p = 0.0666; KO met-BDNF = 3.34 ± 0.45 s; p = 0.1646).
The val66met SNP in the human BDNF gene is carried by approximately 30% of people worldwide and has been associated with cognitive deficits (Egan et al., 2003; Hariri et al., 2003; Harris et al., 2006; Liu et al., 2012). In this SNP, val at position 66 is changed to met in the pro region of proBDNF (Lu, 2003b; Hartmann et al., 2012). This SNP does not affect the expression levels or intracellular signaling triggered by the mature BDNF protein. However, the intracellular distribution and activity-dependent secretion are significantly impaired in neurons expressing met-BDNF, resulting in met-BDNF-GFP clustered in the perinuclear regions rather than in synaptic regions of dendrites and axons (Lu, 2003b; Hartmann et al., 2012). The inability of met-BDNF-GFP to be transported to neuronal processes and localized to synapses is thought to be due to impaired binding of met-BDNF to the sorting protein sortilin, which interacts with the pro region of BDNF and directs it from the trans-Golgi network into the regulated secretory pathway (Hartmann et al., 2012; Baj et al., 2013). The results presented here confirm that met-BDNF distribution is restricted to somata and only partially transported to the proximal area of primary dendrites in hippocampal neurons of both WT and Mecp2 KO mice.
BDNF plays a critical role in activity-dependent dendritic and synaptic development (Chapleau et al., 2009b). Consisted with previous studies, our findings show that val-BDNF promotes dendritic growth and branching, and increases dendritic spine density and the volume of individual spines in hippocampal neurons. On the other hand, met-BDNF reduces dendritic length and branching, and fails to increase dendritic spine density. The function of BDNF relies on its proper trafficking to axons and dendrites, as well as sorting to the regulated secretory pathway, which allows Ca2+-dependent release. met-BDNF reduces the intracellular trafficking of BDNF messenger RNA (mRNA) to dendrites (Chiaruttini et al., 2009; Liu et al., 2012), and impairs the regulated BDNF secretion at synaptic sites (Egan et al., 2003; Chen et al., 2004), thus affects the dendritic growth. Therefore, met-BDNF hijacks val-BDNF, producing an overall deficit in BDNF trafficking into release-ready dense core vesicles. We found met-BDNF caused a decreased spine density, but not statistically different from control. Since we only analyzed spines from proximal (primary and secondary) dendrites, we cannot exclude that spines from distal dendrites may show larger differences, as Liu et al. (2012) reported in the prefrontal cortex.
Reduction in the size and complexity of dendritic arbors are common in disorders associated with intellectual disability, such as Rett syndrome (Kaufmann and Moser, 2000). Consistent with previous studies in autopsy brains from RTT individuals and symptomatic Mecp2 KO mice (Armstrong et al., 1995; Fukuda et al., 2005; Schüle et al., 2008; Belichenko et al., 2009; Chapleau et al., 2009a), hippocampal neurons from newborn Mecp2 KO mice maintained in primary culture have reduced dendritic complexity and lower spine density than WT neurons. These deficits are due to both a failure of the formation as well as of the maintenance of dendritic arbors (Baj et al., 2014). Expression of val-BDNF fully rescues dendritic growth and spine density in Mecp2 KO neurons, as shown previously (Larimore et al., 2009). On the other hand, met-BDNF reduces dendritic complexity in Mecp2 KO neurons, which correlates well with the observations of that smaller hippocampal volumes in humans and rodents carrying the met-BDNF allele (Egan et al., 2003; Hariri et al., 2003; Szeszko et al., 2005; Chen et al., 2006; Baj et al., 2013).
The number of bona fide dendritic spines (i.e., with a well-defined head) is a consistent estimate of excitatory synapses, while their volume is correlated with the strength of the particular synapse they receive (Bourne and Harris, 2008; Swanger et al., 2011). Even though Mecp2 KO neurons have fewer excitatory spine synapses (identified by the co-localization of presynaptic VGLUT1 and postsynaptic GluA1), the volume of each individual spine is larger than in WT neurons. Fewer excitatory synapses may reflect delayed neuronal maturation, since adult newborn neurons in the dentate gyrus have lower dendritic spine density than their mature neighboring neurons (Smrt et al., 2007). However, the surface levels of synaptic GluA1 is higher in Mecp2 KO neurons, consistent with stronger synapses that saturate long-term synaptic plasticity (Li et al., 2016), a consistent impairment of several mouse models of RTT (Chahrour and Zoghbi, 2007).
Consistent with numerous studies of the effects of bath-applied recombinant BDNF and expression of the rodent Bdnf gene, expression of the human val-BDNF increased dendritic spine density and the volume of individual dendritic spines in neurons from both WT and Mecp2 KO mice, which provides support that BDNF-based therapies might be beneficial for RTT individuals. However, expression of met-BDNF failed to affect spine density in WT neurons, and in fact resulted in a reduction of dendritic spine volume in Mecp2 KO neurons, which raises caution about the consequences of therapies aimed at increasing BDNF expression in individuals carrying the BDNF met allele, at least those that also harbor MECP2 mutations.
The enhancement of glutamatergic synaptic transmission by BDNF is a consistent observation in hippocampal neurons (Lessman et al., 1994; Levine et al., 1998; Li et al., 1998). For example, the increase in mEPSC frequency in neurons expressing val-BDNF (without changes in mEPSC amplitude) is consistent with the presynaptic effects of bath-applied recombinant BDNF to CA1 pyramidal neurons (Tyler and Pozzo-Miller, 2001; Amaral and Pozzo-Miller, 2012). Previously, we described more frequent and larger mEPSCs in CA1 pyramidal neurons of adult symptomatic Mecp2 KO mice compared to age-matched WT littermates, together with higher synaptic GluA1 levels and larger spine volumes, indicating stronger synaptic strength (Li et al., 2016). Here, we found that mEPSC amplitude is not affected in cultured pyramidal neurons from neonatal Mecp2 KO mice. This apparent inconsistency could be due to the different developmental ages (neonatal vs. postnatal-day 60), or the expression of soluble GFP in cultured neurons, which was used for identification of transfected neurons in this study. Interestingly, the expression of val-BDNF decreased mEPSC frequency in Mecp2 KO neurons, which would be beneficial by reducing the atypically enhanced synaptic strength in Mecp2 KO neurons. On the other hand, met-BDNF decreased mEPSC amplitude in both WT and Mecp2 KO neurons, suggesting that glutamatergic transmission is impaired. Consistently, the BDNF Val66Met polymorphism impairs NMDA receptor-dependent synaptic plasticity in various brain regions of BDNFmet/met mice (Ninan et al., 2010; Liu et al., 2012; Pattwell et al., 2012; Galvin et al., 2015; Jing et al., 2017), although some studies have described normal basal glutamatergic neurotransmission (Ninan et al., 2010; Pattwell et al., 2012) or increased (Jing et al., 2017).
In conclusion, expression of the human BDNF val-66-met SNP has deleterious consequences on dendritic complexity, the density and morphology of excitatory synapses on dendritic spines, as well as synaptic transmission in Mecp2 KO neurons, suggesting that the met-BDNF variant contributes negatively to RTT pathophysiology. The outcome of therapies aimed at increasing BDNF expression may depend on the BDNF val-66-met SNP genotype, at least in those RTT individuals that also harbor MECP2 mutations.
XX designed and performed experiments, analyzed data and wrote the manuscript; JG performed experiments and analyzed data; RE performed experiments and analyzed data; SN performed experiments and analyzed data; LP-M designed experiments, analyzed data and wrote the manuscript.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
This work was supported by National Institute of Neurological Disorders and Stroke (NIH) grants nos: NS-065027 and National Institute of Child Health and Human Development, HD-074418 (to LP-M). We thank Drs. Masami Kojima (Research Institute for Cell Engineering, NIAIST, Osaka, Japan) for the generous gift of plasmids encoding val-BDNF-GFP and met-BDNF-GFP and Wei Li (UAB) for comments on the manuscript. We are indebted to Ms. Lili Mao for mouse colony management.
Alonso, M., Medina, J. H., and Pozzo-Miller, L. (2004). ERK1/2 activation is necessary for BDNF to increase dendritic spine density in hippocampal CA1 pyramidal neurons. Learn. Mem. 11, 172–178. doi: 10.1101/lm.67804
Amaral, M. D., and Pozzo-Miller, L. (2007). TRPC3 channels are necessary for brain-derived neurotrophic factor to activate a nonselective cationic current and to induce dendritic spine formation. J. Neurosci. 27, 5179–5189. doi: 10.1523/JNEUROSCI.5499-06.2007
Amaral, M. D., and Pozzo-Miller, L. (2012). Intracellular Ca2+ stores and Ca2+ influx are both required for BDNF to rapidly increase quantal vesicular transmitter release. Neural Plast. 2012:203536. doi: 10.1155/2012/203536
Amir, R. E., Van den Veyver, I. B., Wan, M., Tran, C. Q., Francke, U., and Zoghbi, H. Y. (1999). Rett syndrome is caused by mutations in X-linked MECP2, encoding methyl-CpG-binding protein 2. Nat. Genet. 23, 185–188. doi: 10.1038/13810
Armstrong, D., Dunn, J. K., Antalffy, B., and Trivedi, R. (1995). Selective dendritic alterations in the cortex of Rett syndrome. J. Neuropathol. Exp. Neurol. 54, 195–201. doi: 10.1097/00005072-199503000-00006
Baj, G., Carlino, D., Gardossi, L., and Tongiorgi, E. (2013). Toward a unified biological hypothesis for the BDNF Val66Met-associated memory deficits in humans: a model of impaired dendritic mRNA trafficking. Front. Neurosci. 7:188. doi: 10.3389/fnins.2013.00188
Baj, G., Patrizio, A., Montalbano, A., Sciancalepore, M., and Tongiorgi, E. (2014). Developmental and maintenance defects in Rett syndrome neurons identified by a new mouse staging system in vitro. Front. Cell. Neurosci. 8:18. doi: 10.3389/fncel.2014.00018
Bath, K. G., Jing, D. Q., Dincheva, I., Neeb, C. C., Pattwell, S. S., Chao, M. V., et al. (2012). BDNF Val66Met impairs fluoxetine-induced enhancement of adult hippocampus plasticity. Neuropsychopharmacology 37, 1297–1304. doi: 10.1038/npp.2011.318
Belichenko, P. V., Oldfors, A., Hagberg, B., and Dahlström, A. (1994). Rett syndrome: 3-D confocal microscopy of cortical pyramidal dendrites and afferents. Neuroreport 5, 1509–1513. doi: 10.1097/00001756-199407000-00025
Belichenko, P. V., Wright, E. E., Belichenko, N. P., Masliah, E., Li, H. H., Mobley, W. C., et al. (2009). Widespread changes in dendritic and axonal morphology in Mecp2-mutant mouse models of Rett syndrome: evidence for disruption of neuronal networks. J. Comp. Neurol. 514, 240–258. doi: 10.1002/cne.22009
Chang, Q., Khare, G., Dani, V., Nelson, S., and Jaenisch, R. (2006). The disease progression of Mecp2 mutant mice is affected by the level of BDNF expression. Neuron 49, 341–348. doi: 10.1016/j.neuron.2005.12.027
Chapleau, C. A., Boggio, E. M., Calfa, G., Percy, A. K., Giustetto, M., and Pozzo-Miller, L. (2012). Hippocampal CA1 pyramidal neurons of Mecp2 mutant mice show a dendritic spine phenotype only in the presymptomatic stage. Neural Plast. 2012:976164. doi: 10.1155/2012/976164
Chapleau, C. A., Calfa, G. D., Lane, M. C., Albertson, A. J., Larimore, J. L., Kudo, S., et al. (2009a). Dendritic spine pathologies in hippocampal pyramidal neurons from Rett syndrome brain and after expression of Rett-associated MECP2 mutations. Neurobiol. Dis. 35, 219–233. doi: 10.1016/j.nbd.2009.05.001
Chapleau, C. A., Larimore, J. L., Theibert, A., and Pozzo-Miller, L. (2009b). Modulation of dendritic spine development and plasticity by BDNF and vesicular trafficking: fundamental roles in neurodevelopmental disorders associated with mental retardation and autism. J. Neurodev. Disord. 1, 185–196. doi: 10.1007/s11689-009-9027-6
Chapleau, C. A., Carlo, M. E., Larimore, J. L., and Pozzo-Miller, L. (2008). The actions of BDNF on dendritic spine density and morphology in organotypic slice cultures depend on the presence of serum in culture media. J. Neurosci. Methods 169, 182–190. doi: 10.1016/j.jneumeth.2007.12.006
Chapleau, C. A., and Pozzo-Miller, L. (2008). “Activity-dependent structural plasticity of dendritic spines,” in Learning and Memory: a Comprehensive Reference, ed. J. Byrne (Oxford: Elsevier), 695–719.
Chen, R. Z., Akbarian, S., Tudor, M., and Jaenisch, R. (2001). Deficiency of methyl-CpG binding protein-2 in CNS neurons results in a Rett-like phenotype in mice. Nat. Genet. 27, 327–331. doi: 10.1038/85906
Chen, W. G., Chang, Q., Lin, Y., Meissner, A., West, A. E., Griffith, E. C., et al. (2003). Derepression of BDNF transcription involves calcium-dependent phosphorylation of MeCP2. Science 302, 885–889. doi: 10.1126/science.1086446
Chen, Z. Y., Jing, D., Bath, K. G., Ieraci, A., Khan, T., Siao, C. J., et al. (2006). Genetic variant BDNF (Val66Met) polymorphism alters anxiety-related behavior. Science 314, 140–143. doi: 10.1126/science.1129663
Chen, Z. Y., Patel, P. D., Sant, G., Meng, C. X., Teng, K. K., Hempstead, B. L., et al. (2004). Variant brain-derived neurotrophic factor (BDNF) (Met66) alters the intracellular trafficking and activity-dependent secretion of wild-type BDNF in neurosecretory cells and cortical neurons. J. Neurosci. 24, 4401–4411. doi: 10.1523/JNEUROSCI.0348-04.2004
Chiaruttini, C., Vicario, A., Li, Z., Baj, G., Braiuca, P., Wu, Y., et al. (2009). Dendritic trafficking of BDNF mRNA is mediated by translin and blocked by the G196A (Val66Met) mutation. Proc. Natl. Acad. Sci. U S A 106, 16481–16486. doi: 10.1073/pnas.0902833106
Durany, N., Michel, T., Kurt, J., Cruz-Sánchez, F. F., Cervás-Navarro, J., and Riederer, P. (2000). Brain-derived neurotrophic factor and neurotrophin-3 levels in Alzheimer’s disease brains. Int. J. Dev. Neurosci. 18, 807–813. doi: 10.1016/s0736-5748(00)00046-0
Egan, M. F., Kojima, M., Callicott, J. H., Goldberg, T. E., Kolachana, B. S., Bertolino, A., et al. (2003). The BDNF val66met polymorphism affects activity-dependent secretion of BDNF and human memory and hippocampal function. Cell 112, 257–269. doi: 10.1016/s0092-8674(03)00035-7
Fahnestock, M., Garzon, D., Holsinger, R. M., and Michalski, B. (2002). Neurotrophic factors and Alzheimer’s disease: are we focusing on the wrong molecule? J. Neural Transm. Suppl. 62, 241–252. doi: 10.1007/978-3-7091-6139-5_22
Faul, F., Erdfelder, E., Lang, A.-G., and Buchner, A. (2007). G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav. Res. Methods 39, 175–191. doi: 10.3758/bf03193146
Fukuda, T., Itoh, M., Ichikawa, T., Washiyama, K., and Goto, Y. (2005). Delayed maturation of neuronal architecture and synaptogenesis in cerebral cortex of Mecp2-deficient mice. J. Neuropathol. Exp. Neurol. 64, 537–544. doi: 10.1093/jnen/64.6.537
Galvin, C., Lee, F. S., and Ninan, I. (2015). Alteration of the centromedial amygdala glutamatergic synapses by the BDNF Val66Met polymorphism. Neuropsychopharmacology 40, 2269–2277. doi: 10.1038/npp.2015.76
Giachero, M., Calfa, G. D., and Molina, V. A. (2013). Hippocampal structural plasticity accompanies the resulting contextual fear memory following stress and fear conditioning. Learn. Mem. 20, 611–616. doi: 10.1101/lm.031724.113
Gines, S., Paoletti, P., and Alberch, J. (2010). Impaired TrkB-mediated ERK1/2 activation in huntington disease knock-in striatal cells involves reduced p52/p46 Shc expression. J. Biol. Chem. 285, 21537–21548. doi: 10.1074/jbc.M109.084202
Hariri, A. R., Goldberg, T. E., Mattay, V. S., Kolachana, B. S., Callicott, J. H., Egan, M. F., et al. (2003). Brain-derived neurotrophic factor val66met polymorphism affects human memory-related hippocampal activity and predicts memory performance. J. Neurosci. 23, 6690–6694.
Harris, S. E., Fox, H., Wright, A. F., Hayward, C., Starr, J. M., Whalley, L. J., et al. (2006). The brain-derived neurotrophic factor Val66Met polymorphism is associated with age-related change in reasoning skills. Mol. Psychiatry 11, 505–513. doi: 10.1038/sj.mp.4001799
Hartmann, D., Drummond, J., Handberg, E., Ewell, S., and Pozzo-Miller, L. (2012). Multiple approaches to investigate the transport and activity-dependent release of BDNF and their application in neurogenetic disorders. Neural Plast. 2012:203734. doi: 10.1155/2012/203734
Jing, D., Lee, F. S., and Ninan, I. (2017). The BDNF Val66Met polymorphism enhances glutamatergic transmission but diminishes activity-dependent synaptic plasticity in the dorsolateral striatum. Neuropharmacology 112, 84–93. doi: 10.1016/j.neuropharm.2016.06.030
Larimore, J. L., Chapleau, C. A., Kudo, S., Theibert, A., Percy, A. K., and Pozzo-Miller, L. (2009). Bdnf overexpression in hippocampal neurons prevents dendritic atrophy caused by Rett-associated MECP2 mutations. Neurobiol. Dis. 34, 199–211. doi: 10.1016/j.nbd.2008.12.011
Lessman, V., Gottmann, K., and Heumann, R. (1994). BDNF and NT-4/5 enhance glutamatergic synaptic transmission in cultured hippocampal neurons. Neuroreport 6, 21–25. doi: 10.1097/00001756-199412300-00007
Levine, E. S., Crozier, R. A., Black, I. B., and Plummer, M. R. (1998). Brain-derived neurotrophic factor modulates hippocampal synaptic transmission by increasing N-methyl-D-aspartic acid receptor activity. Proc. Natl. Acad. Sci. U S A 95, 10235–10239. doi: 10.1073/pnas.95.17.10235
Li, W., Calfa, G., Larimore, J., and Pozzo-Miller, L. (2012). Activity-dependent BDNF release and TRPC signaling is impaired in hippocampal neurons of Mecp2 mutant mice. Proc. Natl. Acad. Sci. U S A 109, 17087–17092. doi: 10.1073/pnas.1205271109
Li, W., Xu, X., and Pozzo-Miller, L. (2016). Excitatory synapses are stronger in the hippocampus of Rett syndrome mice due to altered synaptic trafficking of AMPA-type glutamate receptors. Proc. Natl. Acad. Sci. U S A 113, E1575–E1584. doi: 10.1073/pnas.1517244113
Li, Y. X., Zhang, Y., Lester, H. A., Schuman, E. M., and Davidson, N. (1998). Enhancement of neurotransmitter release induced by brain-derived neurotrophic factor in cultured hippocampal neurons. J. Neurosci. 18, 10231–10240.
Liu, R. J., Lee, F. S., Li, X. Y., Bambico, F., Duman, R. S., and Aghajanian, G. K. (2012). Brain-derived neurotrophic factor Val66Met allele impairs basal and ketamine-stimulated synaptogenesis in prefrontal cortex. Biol. Psychiatry 71, 996–1005. doi: 10.1016/j.biopsych.2011.09.030
Lu, B., Nagappan, G., Guan, X., Nathan, P. J., and Wren, P. (2013). BDNF-based synaptic repair as a disease-modifying strategy for neurodegenerative diseases. Nat. Rev. Neurosci. 14, 401–416. doi: 10.1038/nrn3505
Martinowich, K., Hattori, D., Wu, H., Fouse, S., He, F., Hu, Y., et al. (2003). DNA methylation-related chromatin remodeling in activity-dependent BDNF gene regulation. Science 302, 890–893. doi: 10.1126/science.1090842
Momose, Y., Murata, M., Kobayashi, K., Tachikawa, M., Nakabayashi, Y., Kanazawa, I., et al. (2002). Association studies of multiple candidate genes for Parkinson’s disease using single nucleotide polymorphisms. Ann. Neurol. 51, 133–136. doi: 10.1002/ana.1305
Mu, J. S., Li, W. P., Yao, Z. B., and Zhou, X. F. (1999). Deprivation of endogenous brain-derived neurotrophic factor results in impairment of spatial learning and memory in adult rats. Brain Res. 835, 259–265. doi: 10.1016/s0006-8993(99)01592-9
Nectoux, J., Bahi-Buisson, N., Guellec, I., Coste, J., De Roux, N., Rosas, H., et al. (2008). The p.Val66Met polymorphism in the BDNF gene protects against early seizures in Rett syndrome. Neurology 70, 2145–2151. doi: 10.1212/01.WNL.0000304086.75913.b2
Neves-Pereira, M., Mundo, E., Muglia, P., King, N., Macciardi, F., and Kennedy, J. L. (2002). The brain-derived neurotrophic factor gene confers susceptibility to bipolar disorder: evidence from a family-based association study. Am. J. Hum. Genet. 71, 651–655. doi: 10.1086/342288
Ninan, I., Bath, K. G., Dagar, K., Perez-Castro, R., Plummer, M. R., Lee, F. S., et al. (2010). The BDNF Val66Met polymorphism impairs NMDA receptor-dependent synaptic plasticity in the hippocampus. J. Neurosci. 30, 8866–8870. doi: 10.1523/JNEUROSCI.1405-10.2010
Ogier, M., Wang, H., Hong, E., Wang, Q., Greenberg, M. E., and Katz, D. M. (2007). Brain-derived neurotrophic factor expression and respiratory function improve after ampakine treatment in a mouse model of Rett syndrome. J. Neurosci. 27, 10912–10917. doi: 10.1523/JNEUROSCI.1869-07.2007
Pattwell, S. S., Bath, K. G., Perez-Castro, R., Lee, F. S., Chao, M. V., and Ninan, I. (2012). The BDNF Val66Met polymorphism impairs synaptic transmission and plasticity in the infralimbic medial prefrontal cortex. J. Neurosci. 32, 2410–2421. doi: 10.1523/jneurosci.5205-11.2012
Pezawas, L., Verchinski, B. A., Mattay, V. S., Callicott, J. H., Kolachana, B. S., Straub, R. E., et al. (2004). The brain-derived neurotrophic factor val66met polymorphism and variation in human cortical morphology. J. Neurosci. 24, 10099–10102. doi: 10.1523/jneurosci.2680-04.2004
Schüle, B., Armstrong, D. D., Vogel, H., Oviedo, A., and Francke, U. (2008). Severe congenital encephalopathy caused by MECP2 null mutations in males: central hypoxia and reduced neuronal dendritic structure. Clin. Genet. 74, 116–126. doi: 10.1111/j.1399-0004.2008.01005.x
Sen, S., Nesse, R. M., Stoltenberg, S. F., Li, S., Gleiberman, L., Chakravarti, A., et al. (2003). A BDNF coding variant is associated with the NEO personality inventory domain neuroticism, a risk factor for depression. Neuropsychopharmacology 28, 397–401. doi: 10.1038/sj.npp.1300053
Smrt, R. D., Eaves-Egenes, J., Barkho, B. Z., Santistevan, N. J., Zhao, C., Aimone, J. B., et al. (2007). Mecp2 deficiency leads to delayed maturation and altered gene expression in hippocampal neurons. Neurobiol. Dis. 27, 77–89. doi: 10.1016/j.nbd.2007.04.005
Swanger, S. A., Yao, X. D., Gross, C., and Bassell, G. J. (2011). Automated 4D analysis of dendritic spine morphology: applications to stimulus-induced spine remodeling and pharmacological rescue in a disease model. Mol. Brain 4:38. doi: 10.1186/1756-6606-4-38
Szeszko, P. R., Lipsky, R., Mentschel, C., Robinson, D., Gunduz-Bruce, H., Sevy, S., et al. (2005). Brain-derived neurotrophic factor val66met polymorphism and volume of the hippocampal formation. Mol. Psychiatry 10, 631–636. doi: 10.1038/sj.mp.4001656
Tyler, W. J., Alonso, M., Bramham, C. R., and Pozzo-Miller, L. D. (2002). From acquisition to consolidation: on the role of brain-derived neurotrophic factor signaling in hippocampal-dependent learning. Learn. Mem. 9, 224–237. doi: 10.1101/lm.51202
Tyler, W. J., and Pozzo-Miller, L. D. (2001). BDNF enhances quantal neurotransmitter release and increases the number of docked vesicles at the active zones of hippocampal excitatory synapses. J. Neurosci. 21, 4249–4258.
Tyler, W. J., and Pozzo-Miller, L. (2003). Miniature synaptic transmission and BDNF modulate dendritic spine growth and form in rat CA1 neurones. J. Physiol. 553, 497–509. doi: 10.1113/jphysiol.2003.052639
Ventriglia, M., Bocchio Chiavetto, L., Benussi, L., Binetti, G., Zanetti, O., Riva, M. A., et al. (2002). Association between the BDNF 196 A/G polymorphism and sporadic Alzheimer’s disease. Mol. Psychiatry 7, 136–137. doi: 10.1038/sj.mp.4000952
Wang, H., Chan, S. A., Ogier, M., Hellard, D., Wang, Q., Smith, C., et al. (2006). Dysregulation of brain-derived neurotrophic factor expression and neurosecretory function in Mecp2 null mice. J. Neurosci. 26, 10911–10915. doi: 10.1523/jneurosci.1810-06.2006
Wearne, S. L., Rodriguez, A., Ehlenberger, D. B., Rocher, A. B., Hendersion, S. C., and Hof, P. R. (2005). New Techniques for imaging, digitization and analysis of three-dimensional neural morphology on multiple scales. Neuroscience 136, 661–680. doi: 10.1016/j.neuroscience.2005.05.053
Zeev, B. B., Bebbington, A., Ho, G., Leonard, H., De Klerk, N., Gak, E., et al. (2009). The common BDNF polymorphism may be a modifier of disease severity in Rett syndrome. Neurology 72, 1242–1247. doi: 10.1212/wnl.0b013e3181b0e96a
Zhou, Z., Hong, E. J., Cohen, S., Zhao, W. N., Ho, H. Y., Schmidt, L., et al. (2006). Brain-specific phosphorylation of MeCP2 regulates activity-dependent Bdnf transcription, dendritic growth, and spine maturation. Neuron 52, 255–269. doi: 10.1016/j.neuron.2006.09.037
Keywords: BDNF val66met, Rett syndrome, dendritic branching, dendritic spines, synaptic transmission
Citation: Xu X, Garcia J, Ewalt R, Nason S and Pozzo-Miller L (2017) The BDNF val-66-met Polymorphism Affects Neuronal Morphology and Synaptic Transmission in Cultured Hippocampal Neurons from Rett Syndrome Mice. Front. Cell. Neurosci. 11:203. doi: 10.3389/fncel.2017.00203
Received: 08 May 2017; Accepted: 27 June 2017;
Published: 13 July 2017.
Edited by:Tommaso Pizzorusso, Consiglio Nazionale Delle Ricerche (CNR), Italy
Reviewed by:Enrico Tongiorgi, University of Trieste, Italy
Oliver von Bohlen und Halbach, Universitätsmedizin Greifswald, Germany
Copyright © 2017 Xu, Garcia, Ewalt, Nason and Pozzo-Miller. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Lucas Pozzo-Miller, email@example.com