Abstract
Lead (Pb) is known to impair children’s cognitive function. It has been previously shown that developmental Pb exposure alters dendritic spine formation in hippocampal pyramidal neurons. However, the underlying mechanism has not yet been defined. In this study, a low-level gestational Pb exposure (GLE) rat model was employed to investigate the impact of Pb on the spine density of the hippocampal pyramidal neurons and its regulatory mechanism. Pb exposure resulted in impaired performance of the rats in the Morris water maze tasks, and in decreased EPSC amplitudes in hippocampal CA3-CA1 regions. With a 3D reconstruction by the Imaris software, the results from Golgi staining showed that the spine density in the CA1 region was reduced in the Pb-exposed rats in a dose-dependent manner. Decreased spine density was also observed in cultured hippocampal neurons following the Pb treatment. Furthermore, the expression level of NLGN1, a postsynaptic protein that mediates synaptogenesis, was significantly decreased following the Pb exposure both in vivo and in vitro. Up-regulation of NLGN1 in cultured primary neurons partially attenuated the impact of Pb on the spine density. Taken together, our resultssuggest that Pb exposure alters spine plasticity in the developing hippocampus by down-regulating NLGN1 protein levels.
Introduction
Lead (Pb) is a widespread environmental heavy metal toxicant that exerts irreversible effects on children’s cognitive function, impairing learning and memory1, decreasing intelligence quotient2, and increasing aggression and crime rates3. Lead can enter the human body via skin, respiratory system and/or gastrointestinal tract4, and the regulatory blood-lead-level (BLL) thresholds for childhood Pb poisoning have gradually decreased, from 30–60 μg/dl in 1975 to 5 μg/dl in 20125. However, recent studies have shown that BLL as low as 1–5 μg/dl poses a risk for neurocognitive effects in the fetus and newborn6. Furthermore, some studies have suggested that there is no safe threshold for Pb exposed children7–9. The developing brain, especially hippocampus, is particularly vulnerable to Pb. Due to the central role of the hippocampus in spatial learning and memory, numerous studies have focused on Pb’s effects on hippocampal-associated spatial learning and memory processes. It has been observed that developmental Pb exposure in rats decreases the frequency and amplitude of hippocampal long-term potentiation (LTP)1,10, which represents a physiological model of learning and memory. Additionally, morphological analyses have shown a reduction in dendritic spine density in hippocampal CA1 and DG neurons upon developmental Pb exposure11,12.
The brain is exquisitely sensitive to Pb during early developmental stages, especially throughout the gestational period when key developmental processes, such as neuron proliferation, differentiation, migration and synaptogenesis, occur. Current rodent models of Pb exposure have mostly focused on perinatal exposures13,14, early postnatal exposures15 and late postnatal exposures16. To date, it has been shown that Pb exposure impairs hippocampal-dependent spatial learning and memory by altering N-methyl-D-aspartate (NMDA) receptor-dependent brain derived neurotrophic factors (BDNF)17, by impairing hippocampal LTP, possibly via microglia-neuron cross-talk18, and by introducing epigenetic changes through manipulating the expression of DNA methyltransferases and methyl cytosine-binding proteins19.
Dendritic spines, the main structures of pyramidal neurons, are the sites harboring the post-synaptic compartment of excitatory synapses20,21. Changes in dendritic spine density and structure are crucial for post-synaptic plasticity and contribute to the morphological bases of learning and memory function22,23. The induction of spine growth often coincides with synapse formation24. Synaptic formation, structure, maturation and maintenance are sustained by a diverse network of bidirectional cellular adhesion molecules that span the synaptic cleft, aligning the presynaptic active zone and postsynaptic density25. In humans, alterations that perturb these cellular organizations are implicated in cognitive disorders, highlighting their critical roles at the synapse. Arguably, one of the best-characterized synaptic cell adhesion molecules is the postsynaptic neuroligins (NLGNs)26,27. Neuroligins are postsynaptic proteins that contain a single transmembrane domain, a large extracellular acetylcholinesterase-like domain and a short cytoplasmic tail (c-tail) that includes many protein-protein interaction domains21,28. Rodents express four neuroligins (NLGN1 to NLGN4). Neuroligin 1 (NLGN1), a postsynaptic adhesion protein, is located predominantly in excitatory synapses and is involved in diverse forms of excitatory synaptic plasticity across species29,30. Overexpression of NLGN1 increases evoked excitatory postsynaptic currents (EPSCs) and the number of excitatory synapses, whereas silencing NLGN1 reduces the density of excitatory synapses31,32. NLGN proteins are expressed in both the developing and mature brain. NLGN proteins, especially NLGN1, are required for synaptogenesis, dendritic spine maturation and stability. Taken together, these observations have led us to postulate that developmental Pb exposure disrupts NLGN1, leading to altered dendritic spine formation in hippocampal neurons, which, in turn, results in learning and memory impairment. Given that gestational brain development in humans is analogous to the prenatal through PND10 period in rats33–35, we established a low-level human-equivalent gestational Pb exposure (GLE) rat model to explore this issue.
Results
Low-level gestational Pb exposure impaired spatial learning and memory
Female SD rats from each groups (respectively, n = 8) were exposed to water containing 0 (Control), 0.005%, 0.01% and 0.02% Pb acetate for two weeks before mating and throughout gestation. Pb exposure ceased 10 days after the progeny were born. Figure 1a shows the body weights of pups at PNDs 0, 3, 7, 10, 14, 21, and 30. There were no significant effects of GLE on body weight at any age (Fig. 1a). Blood and hippocampal Pb levels were determined by a graphite furnace atomic spectrophotometry. BLLs of the pups were significantly increased in the Pb-exposed groups at PNDs 0, 3, 7, 10, 14 and 21, except for PND 30 (Fig. 1b). Hippocampal Pb levels of the pups were significantly increased in the Pb-exposed group at PND 30 (Fig. 1c). Spatial learning and memory of the pups were assessed by the water maze task at PND 30 (Fig. 1d,e), which measures the time spent in finding an invisible platform. Searching time for the platform was longer in the Pb-exposed rats when compared with the controls throughout the five training days (Fig. 1d). On the day for the probe trial, the platform was removed. The percentage of time spent in exploring the platform in the southwest (SW) quadrant, where the platform was originally located, was significantly lower in any Pb-exposed groups than that in the control group (Fig. 1e), demonstrating impaired spatial memory in Pb-exposed rats.
Low-level gestational Pb exposure impaired hippocampal CA3-CA1 Long-Term Potentiation
Rats were decapitated between PND 28 and 35, and the hippocampal slices of each groups were subjected to LTP induction. After obtaining a 10-min baseline response of EPSC, LTP was induced by high frequency tetanic stimulation (Fig. 2a). In the Pb-exposed groups, the magnitudes of EPSCs were lower than those in the control group (Fig. 2b). The increase in the EPSCs amplitudes (as a percentage of the baseline) decreased in any Pb-exposed groups compared with the control (Fig. 2c). These results suggested that hippocampal CA3-CA1 LTP inductions were significantly impaired in the Pb-exposed rats.
Pb exposure did not affect dendritic complexity of the pyramidal neuron in PND30 rats
Pyramidal neurons in the hippocampal CA1 region were shown by Golgi Staining (Fig. 3a,b). Dendritic morphology was qualified by 3D reconstructions of Golgi impregnations and software-assisted tracing of entire dendritic arbors of stained neurons (Fig. 3c). Sholl analysis revealed that the intersection number of the dendritic arborizations was not significantly changed between the control and Pb-exposed groups (Fig. 3d). These results indicated that dendritic development was unaffected by low-level gestational Pb exposure.
Pb exposure impaired dendritic spine formation and maturation of pyramidal neuron in PND30 rats
We assessed whether the functional alterations were accompanied with the density and morphological changes in the dendritic spines of CA1 pyramidal neurons. First, we reconstructed and analyzed the dendritic spines of CA1 pyramidal neurons with the Imaris software (Fig. 4c). The average spine densities in the Pb-treated groups significantly decreased as the dose of Pb exposure increased, in both basal and apical dendritic spines, compared with those in the control group (Fig. 4d,e). In the basal dendritic spines, densities of thin and filopodium spines were significantly reduced in all the Pb-exposed groups. However, the density of mushroom spines decreased only in the 0.01% and 0.02% Pb-exposed groups compared with the control group (Fig. 4d). In apical dendritic spines, densities of thin and filopodium spines were also reduced in all the Pb-exposed groups, while the density of mushroom spines decreased only in the 0.02% Pb-exposed group compared with the control group (Fig. 4e). These results established that Pb exposure significantly impaired spine formation in the developing hippocampus.
Low-level gestational Pb exposure reduced NLGN1 mRNA and protein expression in PND30 rats
Considering the important roles of NLGN1 in the formation and regulation of the spines in the hippocampus, we then examined whether the Pb-induced decrease in spine density in the CA1 region was accompanied by a reduction in NLGN1 expression. NLGN1 protein levels were significantly reduced in rats after low-level gestational Pb exposure (Fig. 5a,b). Furthermore, Real-time fluorescence quantitative PCR reveals that the NLGN1 mRNA level in Pb-exposed rats were down-regulated in all groups compared with the control group (Fig. 5c).
NLGN1 overexpression rescued the Pb-induced reduction in spine density
Since NLGN1 is required for excitatory synapse formation, we explored whether Pb affects spine formation by down-regulating NLGN1 expression. NLGN1 was over-expressed in primary cultured hippocampal neurons to examine its ability to rescue the Pb-induced decline in dendritic spine density (Fig. 6c). Up-regulation of NLGN1 level was associated with a significant increase in spine density in the Pb-treated group, increasing to 86.53% of control non-exposed cells (Fig. 6a,b). These data suggested that NLGN1 is critical in mediating the early structural effects of Pb on synaptogenesis.
Discussion
This study investigated the impact of low-level gestational Pb exposure on learning and memory and the role of NLGN1 in this process. We report on several novel findings. First, hippocampal Pb levels were significantly increased and hippocampal LTPs were significantly impaired despite BLLs in the Pb-exposed groups at PND30 were indistinguishable from controls. Second, offspring of GLE dams exhibited alterations in dendritic spine density and morphology in hippocampal CA1 pyramidal neurons. Finally, overexpression of NLGN1 rescued the Pb-induced reduction of spine density in hippocampal neurons.
The rats were exposed to Pb for two weeks prior to mating in order to keep a steady Pb body burden in the females; the Pb exposure was ceased 10 days after the progeny were born, because the gestational period plus the first 10 days of neonatal life in the rat are equivalent to the human gestational period33. After GLE, the BLL returned to normal levels in all PND30 animals, yet the hippocampal Pb level remained significantly higher and spatial learning and memory abilities were significantly impaired in the Pb-exposed rats. Our previous work demonstrated that Connexin43 (Cx43) hemichannels were involved in Pb transport from extracellular to intracellular compartments36. Futhermore, Cx43 expression was increased in the hippocampus, one of the major targets of Pb-induced neurotoxicity, in Pb-exposed rats37. These studies suggest that Pb might accumulate in the hippocampus via the Cx43 hemichannel. Our findings are consistent with clinical observations, which corroborate that chelation therapy lowering of BLLs, but the therapy fails to reverse the cognitive deficits in children even after BLLs return to normal levels38.
Our studies showed that Pb-exposed rats had deficits in the Morris water maze tasks, consistent with impaired learning and memory. Synaptic plasticity in the hippocampus is a crucial neurobiological basis for learning and memory. Previous studies on Pb neurotoxicity mainly focused on functional plasticity of the synapse17,18; however, the changes in functional plasticity cannot completely explain the mechanisms underlying Pb neurotoxicity. As structural plasticity is the basis of functional plasticity of the synapse, structural changes of synapses may also be an important cause of Pb-induced learning and memory dysfunction. Plasticity of dendritic spines, including changes in the number and shape of dendritic spines, plays a significant role in the excitatory synaptic transmission and is closely associated with learning and memory. Although the Pb exposure did not resulted in a significantly change in the dendritic complexity, as previously reported1, the average spine density in the Pb-treated groups was significantly decreased in a dose-dependent manner in both basal and apical dendritic spines compared with the control group. A notable strength of our work is that we separately analyzed basal and apical spines, unlike previous work1,11. By categorizing the spines into four types (mushroom, thin, stubby and filopodium) with the Imaris software39, we noted that thin and filopodium densities were significantly reduced in all Pb-exposed groups. The mushroom densities were significantly reduced in 0.01% and 0.02% Pb-exposed groups for basal dendritic spines and significantly reduced in the 0.02% Pb-exposed groups for apical dendritic spines.
Common hypothesis posit that filopodium spines are the precursors of other dendritic spines40,41. Accordingly, a reduction in the density of the filopodium spines suggests the impairment in spine formation. Thin spines, with a long neck and a clearly visible small head, are dynamic and believed to be closely associated with learning abilities42. Mushroom spines are steadier and mature spines forming synapses; in other studies, a decrease in the number of mushroom spines was noted to be closely associated with functional loss of long- and short-term memories43. Thus, the decrease in thin and mushroom spine density observed herein may contribute to the impairment of learning and memory following gestational Pb exposure.
Another goal of our study was to explore the molecular mechanism underlying GLE induced reduction of dendritic spines. Previous research has demonstrated that developmental lead exposure altered synaptogenesis through inhibiting canonical Wnt pathway in vivo and in vitro11. A recent study showed that the activity-regulated cytoskeletal-associated protein (Arc/Arg3.1), which was widely implicated in synaptic plasticity and hippocampal dependent memory formation, might have a critical role in the disruption of neuronal morphology and synaptic plasticity in lead-exposed rats12. In our study, we focused on neuroligin 1 (NLGN1), a postsynaptic adhesion protein, which is located predominantly on the excitatory synapses and participates in diverse forms of excitatory synaptic plasticity across species29,30. Previous studies have found that overexpressing NLGN1 promoted synapse formation, whereas silencing NLGN1 reduced synapse number31,44–46. In other studies, NLGN1 KO rats showed a reduction in LTP plasticity and decreased learning and memory ability combined with cognitive dysfunction29,32. These findings suggested that NLGN1 may play a vital role in the synapse formation and LTP induction. In the present study, GLE caused a decrease in hippocampal NLGN1 mRNA and protein levels both in vivo and in vitro, and overexpression of NLGN1 partially rescued the Pb-induced decrease in dendritic spine density. Thus, GLE-induced reduction of NLGN1 expression is likely to be a major cause of the decrease in spine density in pyramidal neurons, and the ensuing altered LTP formation. Further in vivo studies are necessary to investigate the effects of NLGN1 up-regulation on attenuating the Pb-induced impairment of learning and memory.
The regulatory mechanism by which Pb down-regulated the expression of NLGN1 remains largely unknown. Former studies have demonstrated that DNA methylation may interrupt the DNA transcription, resulting in changes in the expression of mRNA and protein levels. In vitro and in vivo studies have demonstrated that DNA methylation is altered by exposure to toxic metals, including lead, arsenic and cadmium47–49. A recent study has demonstrated that early childhood lead exposure results in sex-dependent and gene-specific DNA methylation differences50. The expression of NLGN1 has been reported to be regulated by the methylation status of its gene promoter region51. Therefore, the Pb-induced inhibition of NLGN1 expression likely resulted secondary to Pb-induced an altered DNA methylation. A limitation of our study is the constraint in performing studies to address whether up-regulation of NLGN1 in vivo may have analogous rescuing effects.
In conclusion, low-level human equivalent GLE decreased NLGN1 protein expression, thus affecting the density and morphology of dendritic spines in hippocampus, likely inhibiting LTP and hence impairing learning and memory. Future studies could be profitably focused on the potential of NLGN1 to offer a therapeutic target to mitigate the Pb-induced effects on hippocampal synaptogenesis, and learning and memory deficits.
Materials and Methods
Animals
Animal procedures and experiments were carried out in strict accordance with the international standards of care guidelines, and were approved by the Institutional Animal Care and Use Committee of the Fourth Military Medical University. Sprague-Dawley rats were maintained on a 12-h/12-h light/dark cycle and in a temperature-controlled room at 24 °C with food and water available ad libitum.
GLE model
Two weeks after arrival, female rats were individually housed and randomly divided into four groups: one control group and three GLE groups52. The control group received water, and the GLE groups received 0.005% (27 ppm Pb), 0.01% (55 ppm Pb) and 0.02% Pb acetate (109 ppm Pb) drinking solutions (Fisher Scientific, Pittsburgh, PA), respectively. Pb-adulterated drinking solutions were provided to the dams 2 weeks prior to mating to ensure blood Pb concentration stabilization and a constant Pb body burden throughout gestation, and up to PND10. Blood Pb concentrations were analyzed with electrothermal atomization atomic absorptionspectroscopy (AAS) on PNDs 0, 3, 7, 10, 14, 21, and 30. We performed morphologic and neurochemical experiments on PND 30. A previous study has shown that there were distinct differences between male and female infants and children in gestational Pb exposure model53; therefore, only male rats were used.
Neuronal Culture and Transfection
Primary neurons were prepared from embryonic day18~19(E18~19) rat hippocampus as previously described by Craven et al.54. Hippocampi were collected by dissection on ice and dissociated with scissors. 0.5 ml of 2.5% trypsin was added and incubate for 20 min in a water bath at 37 °C, Gently remove trypsin solution and triturated the hippocampi. Plate the desired number of cells (1.5 * 106 cells/ml) to dishes precoated with poly-L-lysine (0.5 mg/ml) (Sigma-Aldrich, USA) in serum-free neurobasal media supplemented with B27 and glutamax (GIBCOBRL, USA) then put it in incubator. At day in vitro (DIV) 3, add cytosine arabinoside (1-b-D-arabinofuranosylcytosine) to inhibit glial proliferation in a final concentration of 5 mM. Neurons were transfected with CMV-MCS-3FLAG-SV40-Neomycin (Genechem, Shanghai, China) at 4 mg per well for 6-well plates by Lipofectamine 2000 (Invitrogen) at DIV 6. Since during DIV 7–12 is the primary time period of dendritic spine growth55, for lead exposure, cultures were treated with lead acetate (1 μM, Sigma-Aldrich, USA) for 5 days from DIV 7 to DIV 12.
Morris water maze tasks
The Morris water maze was divided into four quadrants of equal size and a cylindrical dark olive-green colored platform (10 cm in diameter) was placed in one of the quadrants (the target quadrant). Water temperature was held at 22 ± 1 °C. The swimming paths of the rats were tracked using a digital video camera suspended centrally above the pool and analyzed with the DigiBehave system (Jiliang Software Company, Shanghai, China). The mean value of the time that rats needed to find the platform was defined as the escape latency. The procedure consists of training for 5 days and testing for 1 day. On the training day, the platform was positioned in the middle of the southwest (SW) quadrant. The rats were released into the tank facing the tank wall at north (N), west (W), south (S) or east (E) quadrants in a predetermined pseudorandom order. A trial was terminated once the rat found the platform. And any rats that could not find the platform within 120 s were guided onto the platform and allowed to stay there for 30 s. On the testing day, the platform was removed from the pool; rats were released into the pool at NE position and allowed to swim freely for 2 min. The percentage of time that the animals spent in the SW quadrant in the probe trial was calculated.
Lead concentration analysis
Blood samples (2 ml per animal) were collected in heparinized syringes and analyzed by a PerkinElmer 600 atomic absorption spectrometer (AAS)(PerkinElmer, USA). The hippocampus Pb concentrations were measured by a plasmaQuad3 plasma mass spectrograph (VG Elemental, UK) after tissue collection and digestion with an organic tissue solubilizer.
Slice preparation and recording
Rats were decapitated between PND 28 and 35. The brains were quickly removed and immersed into cold oxygenated (95% O2/5% CO2) artificial cerebrospinal fluid (ACSF), The hippocampus was dissected free and transverse slices (400–500 μm) were cut with a sliding microtome. The slices were incubated for at least 1 h in ACSF at room temperature. Then one hippocampal slice was transferred to the recording chamber (BSC-HT Med. Sys., USA) continuously perfused at a rate of 1 ml/min with 30–32 °C ACSF saturated with 95% O2/5% CO2. Electrophysiological recording was conducted in only one slice per animal. After 1 h equilibration in the slice chamber, excitatory postsynaptic currents (EPSCs) were recorded. One bipolar stimulating electrode was located in the Schaffer/commissural fibers. The other recording electrode, a glass micropipette (resistance: 1–3 MΩ, tip diameter: 3–5 μm) filled with ACSF, was positioned in the dendrites of CA1 pyramidal cell. EPSCs were evoked by using 0.2–0.3 mA stimuli for 0.2 ms duration at 0.05 Hz. After recording the baseline responses for 10 min, LTP was induced by applying high-frequency stimulation (HFS) of 100 Hz for 1 s, testing with single shocks was repeated for at least 30 min after HFS. LTP was presented as the increase in EPSC in relation to the baseline response (100%) after tetanic stimulus application, and its amplitude was the mean of relative EPSC in 10–40 min.
Golgi staining
Rats were anesthetized with an overdose of sodium pentobarbital (100 mg/kg, i.p.) and transcardially perfused with 0.9% saline. Next, the brains were placed directly into Golgi solution (10 g potassium chromate, 10 g mercuric chloride, 8 g potassium chloride and 1000 ml double-distilled water) where they remained in a foil-wrapped jar for 3 weeks. The solution was exchanged sequentially in 10, 20 and 30% sucrose solutions in light-protected jars to aid in maintaining histological structure. The brains were coronally sectioned at 100 μm thickness with a vibratome (VT1000S, Leica, Germany) and placed onto gelatin-coated glass slides. Slides were processed and covered with aluminum foil to prevent light contamination. Incubated slides in ammonium hydroxide for 10 min after rinsing. The slides were washed and incubated in Kodak Film solution for another 10 min and then rinsed for the last time. Next, the slides were dehydrated in ethanol, cleared in xylenes, and mounted using a resinous medium.
Morphological analysis
Pyramidal neurons in the CA1 region of the hippocampus plate 58–63 were selected for analysis56. A Zeiss microscope with a motor stage equipped with transducers on the XYZ-axes was used to trace each neuron at low magnification (20X) for dendritic tree reconstruction and at high magnification (100X) for spine reconstruction at 0.5-μm or 0.1-μm increments, respectively. For each animal, three sections were used to generate nine z-stacks. An algorithm for tracing dendritic filaments (Imaris Bitplane) was used in autopath mode to reconstruct the entire dendritic tree starting from the soma of pyramidal neurons. Dendritic tracing originated from soma that having diameters ranging from 8 to 11 μm, and terminated once dendrite diameters became smaller than 0.6 μm. Sholl analysis was then performed on the three-dimensionally reconstructed neurons to calculate the number of intersections per each Sholl ring (20 μm interval) in order to gather information on the changes in dendritic tree complexity. Total length of basal dendrites was also measured for each neuron.
Spine reconstruction and classification
Once the dendritic tree is reconstructed, the software (Imaris Bitplane) then reanalyzes dendritic segments for spines. Computer-generated seed points then label individual dendritic spines and following manual verification, quantification of spine density is performed. For spines to be included in our analyses, a maximum spine length and minimum spine end diameter were set at 2.5 μm and 0.4 μm, respectively. We only traced spines that were fully attached to dendritic segments and avoided spines whose structure was not completely visible. For spine density measurement, one terminal dendrite from the third order tip (minimum length 20 μm) of each selected neuron was used to count spines at a magnification of 100X. The results are expressed as number of spines/10 μm.
Western blot analysis
Equal amounts of protein (50 μg) from the hippocampus were separated on 10% sodium dodecyl sulfate-polyacrylamide gels and blotted onto PVDF membranes (Invitrogen). After blocking by 5% non-fat dry milk, the membranes were incubated with antibodies for NLGN1 (Abcam, catalog ab186279, dilution ratio 1:200) and β-actin (Sigma, dilution ratio 1:1000) overnight at 4 °C. After washing, the membranes were incubated with horseradish peroxidase-conjugated secondary antibodies, and bands were visualized with an ECL system (Perkin Elmer). Band intensities were determined by software (ImageJ; National Institutes of Health, Bethesda, MD).
Real-time fluorescence quantitative PCR
Hippocampal total RNAs was extracted with an RNA kit (Axygen, Silicon Valley, USA). The quality of the RNA (A260/A280) was 1.8–2.0 for all preparations. The primer OligodT was used to complete qPCR according to the manufacturer’s instructions (TransGene, Shanghai, China). The primer used is as follows: TTC AGT TTC TTG GGG TTC C-AAC CAC ACA GGA AGC ATA A for NLGN1. The 20 μL reaction pool of RTFQPCR was composed of: 10 μL of SYBR premix Extaq; 0.8 μL off orward and reverse primer each; 2 μL of cDNA template (10 time sdilution) and 6.4 μL of deionized water. For qPCR analysis, the levels of mRNA were quantified by FastStart Universal SYBR Green Master (Rox) (Roche, Basel, Switzerland) in an ABI 7500 (Applied Biosystems) Real-Time PCR System. All amplification reactions were conducted in triplicate. Relative expression ratios were calculated by the ∆∆Ct method, where Ct is the threshold cycle value57, the glyceraldehyde phosphatede hydrogenase housekeeping gene was used for normalization. The reaction procedure was set as one cycle of 95 °C for 10 s, 40 cycles of 95 °C 10 s, 60 °C 30 s, followed by the melting stage of 95 °C 10 s, 65 °C 60 s and 97 °C 1 s, then the cooling stage of 37 °C 30 s. Transcription levels were calculated as the amounts relative to that of GAPDH under the same conditions.
Immunofluorescence and spine analyses of cultured neurons
Primary cultured hippocampus neurons were washed three times with PBS (pH 7.4) and fixed in cold absolute methanol for 20 min at 4 °C, and then permeabilized with 0.05% Triton X-100 for 30 min in ice bath and blocked with 5% bovine serum albumin (BSA) for 30 min at room temperature. Next, neurons were incubated with polyclonal anti-MAP2 (Abcam, catalog ab11267, dilution ratio 1:200) at 4 °C for overnight, followed by incubation with Alexa 488 (green)-conjugated anti-rabbit IgG (Invitrogen, dilution ratio 1:800) at room temperature for 2 h. Next, F-actin was labeled with TRITC-conjugated phalloidin (Sigma-Aldrich, catalog P1951, dilution ratio 1:500) at room temperature for 2 h, and rinsed again with PBS. Neurons were examined and photographed with an Olympus BX51 fluorescent microscope equipped with DP-BSW software (Olympus, Japan). In all studies, blanks were processed as negative controls, except that the primary antibodies were replaced with PBS. Spine analyses of cultured neurons were performed with at least 3 independent neuronal preparations on 2–4 independent coverslips each. All experiments included the full set of controls, and neurons were selected at random.
Statistics
Each experiment was performed at least for three times. Data are presented as mean ± SD for at least three independent biological samples. The results were analyzed by one-way ANOVA followed by a Dunnett’s posttest for multiple comparisons. The variations in NLGN1 protein levels or spine densities caused by Pb or NLGN1 overexpression were determined with two-way ANOVA, followed by Bonferroni’s post-hoc analysis. All analyses were performed with the Statistical Package for the Social Sciences (SPSS 16.0) software. Levels of significance are indicated by the number of symbols, e.g., *p = 0.01 to <0.05; **p < 0.01. p < 0.05 was considered as the statistical difference.
Acknowledgements
This work was supported by the National Basic Research Program of China (973 Program) No. 2012CB525002 and the National Natural Scientific Foundation of China Grant (Nos 81273101, 81230063, 30830087 and 81773378), Program for Changjiang Scholars and Innovative Research Team in University (PCSIRT), Shaanxi science and technology coordinating innovative project (2016KTCQ03-01).
Author Contributions
J.Y.C. and X.F.S. designed and supervised experiments. Z.H.Z., Z.G., X.F.S., X.H., and T.W. conducted the research; Z.H.Z. and K.J.D. analyzed the data; Z.H.Z., X.H., and W.J.L. wrote the manuscript. All authors read and approved the final manuscript.
Competing Interests
The authors declare no competing interests.
Footnotes
Zai-Hua Zhao and Gang Zheng contributed equally to this work.
Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Xue-Feng Shen, Email: xfshen@fmmu.edu.cn.
Jing-Yuan Chen, Email: jy_chen@fmmu.edu.cn.
References
- 1.Wang T, et al. Lead Exposure Impairs Hippocampus Related Learning and Memory by Altering Synaptic Plasticity and Morphology During Juvenile Period. Mol Neurobiol. 2016;53:3740–3752. doi: 10.1007/s12035-015-9312-1. [DOI] [PubMed] [Google Scholar]
- 2.Huang PC, et al. Childhood Blood Lead Levels and Intellectual Development After Ban of Leaded Gasoline in Taiwan: A 9-Year Prospective Study. Environ Int. 2012;40:88–96. doi: 10.1016/j.envint.2011.10.011. [DOI] [PubMed] [Google Scholar]
- 3.Taylor MP, Forbes MK, Opeskin B, Parr N, Lanphear BP. The Relationship Between Atmospheric Lead Emissions and Aggressive Crime: An Ecological Study. Environ Health. 2016;15:23. doi: 10.1186/s12940-016-0122-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Amundsen T, et al. Lead poisoning–an overview. Tidsskr Nor Laegeforen. 2002;122:1473–1476. [PubMed] [Google Scholar]
- 5.Akkus C, Ozdenerol E. Exploring childhood lead exposure through HGIS: a review of the recent literature. International Journal of Environmental Research and Public Health. 2014;11:6314–6334. doi: 10.3390/ijerph110606314. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Senut MC, et al. Epigenetics of early-life lead exposure and effects on brain development. Epigenomics. 2013;4:665–674. doi: 10.2217/epi.12.58. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Canfield RL, et al. Intellectual impairment in children with blood lead concentrations below 10 microg per deciliter. New England Journal of Medicine. 2003;348:1517–1526. doi: 10.1056/NEJMoa022848. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Koller K, Brown T, Spurgeon A, Levy L. Recent development in low-level lead exposure and intellectual impairment in children. Environ Health Prespect. 2004;112:987–994. doi: 10.1289/ehp.6941. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Jusko TA, et al. Blood lead concentrations <10 microg/dL and child intelligencxe at 6 years of age. Environ Health Prespect. 2008;116:243–248. doi: 10.1289/ehp.10424. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Ruan DY, et al. Impairment of Long-Term Potentiation and Paired-Pulse Facilitation in Rat Hippocampal Dentate Gyrus Following Developmental Lead Exposure in Vivo. Brain Res. 1998;806:196–201. doi: 10.1016/S0006-8993(98)00739-2. [DOI] [PubMed] [Google Scholar]
- 11.Hu F, et al. Developmental Lead Exposure Alters Synaptogenesis through Inhibiting Canonical Wnt Pathway in Vivo and in Vitro. Plos One. 2014;9:e101894. doi: 10.1371/journal.pone.0101894. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Hu F, Ge MM, Chen WH. Effects of Lead Exposure On Dendrite and Spine Development in Hippocampal Dentate Gyrus Areas of Rats. Synapse. 2016;70:87–97. doi: 10.1002/syn.21873. [DOI] [PubMed] [Google Scholar]
- 13.Anderson DW, Mettil WA, Schneider JS. Rearing Environment, Sex and Developmental Lead Exposure Modify Gene Expression in the Hippocampus of Behaviorally Naive Animals. Neurochem Int. 2013;62:510–520. doi: 10.1016/j.neuint.2013.01.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Guilarte TR, Toscano CD, McGlothan JL, Weaver SA. Environmental Enrichment Reverses Cognitive and Molecular Deficits Induced by Developmental Lead Exposure. Ann Neurol. 2003;53:50–56. doi: 10.1002/ana.10399. [DOI] [PubMed] [Google Scholar]
- 15.Brody DJ, et al. Blood Lead Levels in the Us Population. Phase 1 of the Third National Health and Nutrition Examination Survey (Nhanes Iii, 1988 to 1991) Jama. 1994;272:277–283. doi: 10.1001/jama.1994.03520040039038. [DOI] [PubMed] [Google Scholar]
- 16.Schneider JS, Lee MH, Anderson DW, Zuck L, Lidsky TI. Enriched Environment During Development is Protective Against Lead-Induced Neurotoxicity. Brain Res. 2001;896:48–55. doi: 10.1016/S0006-8993(00)03249-2. [DOI] [PubMed] [Google Scholar]
- 17.Neal AP, Stansfield KH, Worley PF, Tompson RE, Guilarte TR. Lead exposure during synaptogenesis alters vesicular proteins and impairs vesicular release: potential role of NMDA receptor-dependent BDNF signaling. Toxicological Sciences: an offical journal of the Society of Toxicology. 2010;116:249–263. doi: 10.1093/toxsci/kfq111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Liu MC, et al. Involvement of microglia activation in the lead induced long-term potentiation impaiment. PloS ONE, 2012;7:e43924. doi: 10.1371/journal.pone.0043924. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Schneider JS, Kidd SK, Anderson DW. Influence of developmental lead exposure on expression of DNA methyltransferases and methyl cytosine-binding proteins in hippocampus. Toxicology Latters. 2013;217:75–81. doi: 10.1016/j.toxlet.2012.12.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Segal M. Dendritic Spines and Long-Term Plasticity. Nat Rev Neurosci. 2005;6:277–284. doi: 10.1038/nrn1649. [DOI] [PubMed] [Google Scholar]
- 21.Ichtchenko K, et al. Neuroligin 1: A Splice Site-Specific Ligand for Beta-Neurexins. CELL. 1995;81:435–443. doi: 10.1016/0092-8674(95)90396-8. [DOI] [PubMed] [Google Scholar]
- 22.Dumitriu D, Hao J, Hara Y, et al. Selective changes in thin spine density and morphology in monkey prefrontal cortex correlate with aging-related cognitive impairment. Neuroscience. 2010;30:7507–7515. doi: 10.1523/JNEUROSCI.6410-09.2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Hass MA, Bell D, Slender A, et al. Alternations to dendritic spine morphology, but not dendrite patterning, of cortical projection neurons in Tcl and TSlRhr mouse. PLoS One. 2013;8:e785. doi: 10.1371/journal.pone.0064872. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Zito K, Knott G, Shepherd GM, Shenolikar S, Svoboda K. Induction of Spine Growth and Synapse Formation by Regulation of the Spine Actin Cytoskeleton. Neuron. 2004;44:321–334. doi: 10.1016/j.neuron.2004.09.022. [DOI] [PubMed] [Google Scholar]
- 25.Bemben MA, et al. Camkii Phosphorylation of Neuroligin-1 Regulates Excitatory Synapses. Nat Neurosci. 2014;17:56–64. doi: 10.1038/nn.3601. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Dalva MB, McClelland AC, Kayser MS. Cell Adhesion Molecules: Signalling Functions at the Synapse. Nat Rev Neurosci. 2007;8:206–220. doi: 10.1038/nrn2075. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Sudhof TC. Neuroligins and Neurexins Link Synaptic Function to Cognitive Disease. Nature. 2008;455:903–911. doi: 10.1038/nature07456. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Irie M, et al. Binding of Neuroligins to Psd-95. Science. 1997;277:1511–1515. doi: 10.1126/science.277.5331.1511. [DOI] [PubMed] [Google Scholar]
- 29.Blundell J, et al. Neuroligin-1 Deletion Results in Impaired Spatial Memory and Increased Repetitive Behavior. J Neurosci. 2010;30:2115–2129. doi: 10.1523/JNEUROSCI.4517-09.2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Kim J, et al. Neuroligin-1 is Required for Normal Expression of Ltp and Associative Fear Memory in the Amygdala of Adult Animals. Proc Natl Acad Sci USA. 2008;105:9087–9092. doi: 10.1073/pnas.0803448105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Chih B, Engelman H, Scheiffele P. Control of Excitatory and Inhibitory Synapse Formation by Neuroligins. Science. 2005;307:1324–1328. doi: 10.1126/science.1107470. [DOI] [PubMed] [Google Scholar]
- 32.Chubykin AA, et al. Activity-Dependent Validation of Excitatory Versus Inhibitory Synapses by Neuroligin-1 Versus Neuroligin-2. Neuron. 2007;54:919–931. doi: 10.1016/j.neuron.2007.05.029. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Dobbing J, Sands J. Comparative Aspects of the Brain Growth Spurt. Early Human Development. 1979;3:79–83. doi: 10.1016/0378-3782(79)90022-7. [DOI] [PubMed] [Google Scholar]
- 34.Raedler A, Sievers J. The Development of the Visual System of the Albino Rat. Adv Anat Embryol Cell Biol. 1975;50:3–88. doi: 10.1007/978-3-642-45461-5. [DOI] [PubMed] [Google Scholar]
- 35.Rice D, Barone SJ. Critical Periods of Vulnerability for the Developing Nervous System: Evidence From Humans and Animal Models. Environ Health Perspect. 2000;108(Suppl 3):511–533. doi: 10.1289/ehp.00108s3511. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Song H, et al. Cellular Uptake of Lead in the Blood-Cerebrospinal Fluid Barrier: Novel Roles of Connexin 43 Hemichannel and its Down-Regulations Via Erk Phosphorylation. Toxicol Appl Pharmacol. 2016;297:1–11. doi: 10.1016/j.taap.2016.02.021. [DOI] [PubMed] [Google Scholar]
- 37.Baranowska-Bosiacka I, Dabrowska-Bouta B, Struzynska L. Regional Changes in Purines and Selected Purinergic Receptors in Immature Rat Brain Exposed to Lead. Toxicology. 2011;279:100–107. doi: 10.1016/j.tox.2010.09.016. [DOI] [PubMed] [Google Scholar]
- 38.Rogan WJ, Dietrich KN, Ware JH, et al. Treatment of Lead-Exposed Children Trial G The effect of chelation therapy with succimer on neuropsychological development in children exposed to lead. The New England journal of medicine. 2001;344:1421–1426. doi: 10.1056/NEJM200105103441902. [DOI] [PubMed] [Google Scholar]
- 39.Spiga S, Talani G, Mulas G, et al. Hampered long-term depression and thin spine loss in the nucleus accumbens of ethanol-dependent rats. Proceedings of the National Academy of Sciences. 2014;111:E3745–E3754. doi: 10.1073/pnas.1406768111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Dunaevsky A, Tashiro A, Majewska A, et al. Developmental regulation of spine motility in the mammalian central nervous system. Proceedings of the National Academy of Sciences. 1999;96:13438–13443. doi: 10.1073/pnas.96.23.13438. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Nimchinsky EA, Oberlander AM, Svoboda K. Abnormal development of dendritic spines in FMR1 knock-out mice. Juornal of Neuroscience. 2001;21:5139–5146. doi: 10.1523/JNEUROSCI.21-14-05139.2001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Haruo K, Masanori M, Jun N, Nobuaki Y, Hiroyuki N. Structure-stability-function relationships of dendritic spines. TRENDS in Neuroscience. 2003;26(7):360–368. doi: 10.1016/S0166-2236(03)00162-0. [DOI] [PubMed] [Google Scholar]
- 43.Grove M, Demyanenko G, Echarri A, et al. ABI2-deficient mice exhibit defective cell migration, aberrant dendritic spine morphogenesis, and deficits in learning and memory. Molecular and Cellular Biology. 2005;24:10905–10922. doi: 10.1128/MCB.24.24.10905-10922.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Bhattacharya A, Shukla R, Auyang ED, Dietrich KN, Bornschein R. Effect of succimer chelation therapy on postural balance and gait outcomes in children with early exposure to environmental lead. Neurotoxicology. 2007;28:686–695. doi: 10.1016/j.neuro.2007.03.007. [DOI] [PubMed] [Google Scholar]
- 45.Levinson JN, El-Husseini A. Building excitatory and inhibitory synapses: balancing neuroligin partnerships. Neuron. 2005;48:171–174. doi: 10.1016/j.neuron.2005.09.017. [DOI] [PubMed] [Google Scholar]
- 46.Chen SX, Tari PK, She K, et al. Neurexin-neuroligin cell adhesion complexes contribute to synaptotropic dendritogenesis via growh stabilization mechanisms in vivo. Neuron. 2010;67:967–983. doi: 10.1016/j.neuron.2010.08.016. [DOI] [PubMed] [Google Scholar]
- 47.Takiguchi M, Achanzar WE, Qu W, Li G, Waalkes MP. Effects of Cadmium On Dna-(Cytosine-5) Methyltransferase Activity and Dna Methylation Status During Cadmium-Induced Cellular Transformation. EXP CELL RES. 2003;286:355–365. doi: 10.1016/S0014-4827(03)00062-4. [DOI] [PubMed] [Google Scholar]
- 48.Bolin CM, et al. Exposure to Lead and the Developmental Origin of Oxidative Dna Damage in the Aging Brain. FASEB J. 2006;20:788–790. doi: 10.1096/fj.05-5091fje. [DOI] [PubMed] [Google Scholar]
- 49.Reichard JF, Schnekenburger M, Puga A. Long Term Low-Dose Arsenic Exposure Induces Loss of Dna Methylation. Biochem Biophys Res Commun. 2007;352:188–192. doi: 10.1016/j.bbrc.2006.11.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Li Y, et al. Lead Exposure During Early Human Development and Dna Methylation of Imprinted Gene Regulatory Elements in Adulthood. Environ Health Perspect. 2016;124:666–673. doi: 10.1289/EHP200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Bie B, et al. Epigenetic Suppression of Neuroligin 1 Underlies Amyloid-Induced Memory Deficiency. Nat Neurosci. 2014;17:223–231. doi: 10.1038/nn.3618. [DOI] [PubMed] [Google Scholar]
- 52.Fox DA, Kala SV, Hamilton WR, Johnson JE, O’Callaghan JP. Low-Level Human Equivalent Gestational Lead Exposure Produces Supernormal Scotopic Electroretinograms, Increased Retinal Neurogenesis, and Decreased Retinal Dopamine Utilization in Rats. Environ Health Perspect. 2008;116:618–625. doi: 10.1289/ehp.11268. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Khanna MM. Boys, not girls, are negatively affected on cognitive tasks by lead exposre: a pilot study. Journal of Environmental Health. 2015;77:72–77. [PubMed] [Google Scholar]
- 54.Craven SE, El-Husseini AE, Bredt DS. Synaptic targeting of the postsynaptic density protein PSD-95 mediated by lipid and protein motifs. Neuron. 1999;22:497–509. doi: 10.1016/S0896-6273(00)80705-9. [DOI] [PubMed] [Google Scholar]
- 55.Basarsky TA, Parpura V, Haydon PG. Hippocampal synapogenesis in cell culture: developmental time course of synapse formation, calcium influx, and synaptic protein distribution. Juornal of Neuroscience. 1994;14:6402–6411. doi: 10.1523/JNEUROSCI.14-11-06402.1994. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Paxinos, G., Watson, C. Syntax of referencing in The rat brain in stereotaxic coordinates. (6th ed.) (Acdemic Press, 2007).
- 57.Pfaffl WM, Hageleit M. Validities of mRNA quantification using recombinant RNA and recombinant DNA external calibration curves in real time RT-PCR. Biotechnology Letters. 2001;23:275–282. doi: 10.1023/A:1005658330108. [DOI] [Google Scholar]