Abstract
Persons infected with HIV-1 often develop neurologic disorders despite receiving highly active anti-retroviral therapy. Although the underlying mechanism is largely undetermined, our previous RNA-seq-based study showed that the expression of many genes was altered in the central nervous system (CNS) of HIV-1 transgenic (HIV-1Tg) rats. Because nicotine, a natural agonist of nicotinic acetylcholine receptors, exhibits a neuroprotective effect, we presently tested the hypothesis that nicotine restores the expression of altered genes in the CNS of HIV-1Tg rats. Adult male HIV-1Tg and F344 control strain rats were injected with either nicotine (0.25 mg/kg) or saline subcutaneously twice a day for 17 days. Gene expression in the prefrontal cortex (PFC), dorsal hippocampus (HIP), and dorsal striatum (STR) was evaluated using the RNA deep sequencing technique. We found that about 20% of the altered genes in the HIV-1Tg rat were affected by nicotine in each brain region, with the expression of most restored. Analysis of the restored genes showed distinct pathways corrected by nicotine in different brain regions of HIV-1Tg rats. Specifically, the two most significantly restored pathways were Wnt/β-catenin signaling and ephrin B signaling in the PFC, cAMP-responsive element-binding protein (CREB) signaling and glutathione metabolism pathway in the HIP, and tricarboxylic acid (TCA) cycle and calcium signaling in the STR. Together, our findings indicate that cholinergic modulators such as nicotine have beneficial effects on HIV-1-induced neurologic deficits.
Introduction
The central nervous system (CNS) is highly vulnerable to infection by the human immunodeficiency virus-1 (HIV-1) [1]. Such an infection induces many neurologic problems, including gliosis, striatal pathology, motor dysfunction, HIV-associated dementia (HAD), and HIV-associated neurocognitive disorder (HAND) [2]–[5]. The neurologic deficits generally are unaffected by highly active anti-retroviral therapy (HAART) although HAART has significantly reduced the morbidity and mortality rate of HIV-positive patients [4]–[6]. In fact, the prevalence of these neurocognitive deficits has increased with the introduction of HAART because the lifespan of HIV-infected patients has been prolonged [5], [6]. Thus, efficient therapies for the HIV-associated neurologic disorders are greatly needed. Although it is still not clear what mechanisms underlie those neurologic disorders, the persistent presence of HIV-1 viral proteins in the host appears to result in brain damage [7]–[9]. Given that HAART can inhibit viral entry and replication without eliminating the viral proteins, the HAART-defying neurologic disorders are very likely to result from these proteins [7], [10]–[13].
The HIV-1 transgenic (HIV-1Tg) rat was developed as a model to investigate the effects of HIV-1 on the CNS and to facilitate therapy development. This rat carries a gag-pol-deleted HIV-1 genome under the control of HIV-1 viral long terminal repeats (LTRs), and expresses seven of the nine HIV-1 viral proteins without viral replication [14]. The HIV-1Tg rat develops characteristics similar to those of HIV-1 infected humans, including neurobehavioral and neuropathologic changes [14], deficits in learning and memory [15], [16], and abnormal sensitivity to many psychostimulants [17]–[19]. Thus, this animal model appears to mimic the condition of HIV-1 patients given HAART, who have little viral replication, but persistent HIV-1 brain infection, often associated with slow progressive neurodegeneration.
The cholinergic system plays an important role in cognition [20], [21]. Increased cholinergic transmission in response to agonists of acetylcholine receptors or cholinesterase inhibitors improves cognitive processes in neuropsychiatric disorders, such as Alzheimer’s disease (AD) and schizophrenia [21]–[24]. Nicotine is an agonist of the nicotinic acetylcholine receptors (nAChRs) and the major psychoactive component of cigarettes. Many studies have indicated that nicotine may have neuroprotective effects against cognitive disorders [25]–[27]. For example, smokers have a lower risk of developing AD, Parkinson’s disease (PD), and other neurodegenerative disorders than non-smokers [28], [29], although the effect on AD is still in debate [30]. Nicotine also exhibits neuroprotective effects in several, although not all, animal models of neurodegenerative diseases [31]. In addition to its neuroprotective effects, nicotine functions as an important modulator of immune responses [32]–[35]. Considering these properties, cholinergic modulators such as nicotine represent a potential treatment for neurologic disorders in HIV-1-positive patients.
A few studies have demonstrated an interaction between the cholinergic system and HIV-1 pathogenesis. Gp120, one of the HIV-1 proteins, binds to nAChRs [36]. This protein induces defects in memory, which can be reversed by hippocampal cholinergic stimulation [37]. Further, gp120-induced inflammatory responses can be attenuated by administration of α7 nAChR agonists [38]. Although some studies report that nicotine stimulates HIV-1 production in macrophages [39], [40], HIV-1 proteins and nicotine seem to have opposite effects on their shared pathways, including those mediated by MAPKs and NF-κB. For example, nicotine suppresses gp120-induced microglial activation by inhibiting p44/p43 MAPK activity [41]. HIV-1 proteins decrease cAMP-responsive element binding protein (CREB) phosphorylation, whereas nicotine increases CREB phosphorylation in the prefrontal cortex (PFC) of HIV-1Tg rats [18]. Behaviorally, HIV-1 proteins attenuate nicotine-induced behavioral sensitization [18], while nicotine prevents gp120-induced motor disturbances [42].
Together, these studies suggest that cholinergic modulators have some beneficial effects on the neurologic complications in HIV-1 infected individuals. However, the underlying molecular mechanisms are poorly understood, as only a few genes and pathways have been evaluated with conventional molecular techniques. Thus, the primary objective of this study was to systematically determine whether altered gene expression in HIV-1Tg rats could be restored by nicotine treatment. To achieve our objective, we used the recently developed RNA deep sequencing technique, which can evaluate gene expression in a high-throughput manner, and thus, is capable of providing a systematic view of the effects of nicotine on gene expression in the brains of HIV-1Tg rats.
Materials and Methods
Animals
The Animal Care and Use Committee of both the Seton Hall University and University of Virginia approved this study. Adult male rats of HIV-1Tg and F344 background control strain, were purchased from Harlan Inc. (Indianapolis, IN). All rats were double housed in standard plastic rat cages, maintained in a temperature-controlled environment with a 12 h light/dark cycle, and fed a standard rat diet and water ad libitum. The animals were monitored daily, and their cage/bedding was changed twice a week. All animals had been used in a previously reported behavioral study [43]. All experimental procedures were conducted during the light cycle in accordance with the Animal Care and Use Committee regulations of each participating institution.
Nicotine Preparation and Treatment
Nicotine free base (Sigma Aldrich Co., St. Louis, MO) was diluted in 0.9% sterile saline, and the pH adjusted to 7. A fresh stock of nicotine solution was prepared daily. Four groups of rats (n = 12 in each group) were tested: HIV-1Tg Nicotine (HIV_Nic), HIV-1Tg Saline (HIV_Sal), F344 Nicotine (F344_Nic), and F344 Saline (F344_Sal). Either nicotine (0.25 mg/ml) or saline (1 ml/kg of body weight) was administered twice a day (7∶00 AM and 4∶00 PM) by subcutaneous injection with a 23-gauge/1-cc syringe for 17 days. This drug treatment paradigm was based on a previous behavioral study [43].
Tissue Collection
Using a rat brain matrix, 1 mm slices were taken from each brain, and the slices that contained the prefrontal cortex (PFC), dorsal hippocampus (HIP), and dorsal striatum (STR) were identified according to a rat brain atlas [44]. Tissue from the interested regions was collected bilaterally from each brain using a 3 mm Harris Micro-Punch (GE Healthcare Life Sciences, Piscataway, NJ, USA) and stored at −80°C until use.
RNA Extraction and Sample Preparation
Total RNA was extracted from each tissue sample using TRIzol (Life Technologies, Grand Island, NY) according to the manufacturer’s protocol. The RNA concentration and quality of each sample were assessed using the Qubit RNA BR Assay Kit (Life Technologies) and the Agilent Bioanalyzer 2100 (Agilent, Santa Clara, CA), respectively.
RNA Deep Sequencing
RNA deep sequencing was conducted as described previously [45]. Briefly, the sequencing library of each RNA sample was prepared with the TruSeq RNA Sample Preparation Kit according to the manufacturer’s instructions (Illumina, San Diego, CA). The enriched libraries were diluted with elution buffer to a final concentration of 10 nM. Each sample (7 pM) was subjected to 50 cycles of sequencing from both ends in one lane of an Illumina Hiseq2000 Sequencer. Following deep sequencing analysis of 50 bp paired-end reads, Bowtie/Tophat/Cufflinks suites were used to align the reads into transcripts based on the rat reference genome (Rn4) and to measure the relative abundance of each transcript. Expression of each transcript was quantified as the number of reads mapping to a gene divided by the gene length (in kb) and the total number of mapped reads (in millions), and designated as fragments per kilobase of exon per million fragments mapped (FPKM).
Gene Annotation and Expression Profiling Analysis
The Ensembl Transcript ID was used as the primary identifier for all analyses. When multiple splice variants existed, all of them were selected. In generating the FPKM distributions of intergenic regions, regions with a distance of at least 10 kb from any RefSeq or Ensembl gene were selected. The annotation information corresponding to each Ensembl Transcript ID was retrieved from the Ensembl database via BioMart (http://www.biomart.org/biomart/martview). To convert the Ensembl Transcript ID to Gene ID, ‘Ensembl gene 66’ was selected for the database and ‘Rattus norvegicus genes’ for the dataset.
For each brain region of interest, all the transcripts were pulled from the file generated by Cufflinks. The measurements with RPKM values close to zero (approximately 5% of the total) were discarded. The RPKM values were logarithmically transformed to base 2, and the measurements of each transcript within an experimental group were subjected to outlier detection [46]. Transcripts with fewer than six valid measurements in either comparison group, after the removal of outliers, were discarded. According to the number of transcripts mapped to a gene, the following three cases were considered: 1) Where a single transcript was mapped to a gene, the corresponding intensities were used in all further analyses; 2) Where there were multiple records for a single transcript in the dataset (≥6 in each group of 12 samples), the intensity values were averaged and treated as one record; and 3) Where multiple transcripts mapped to the same gene, they were treated as independent isoforms in the data analysis steps.
A two-way ANOVA (strain × sex) was conducted for each gene in each brain region. For genes showing significant major factor differences or interactions, gene expression was further analyzed by a Tukey-Kramer post-hoc analysis. All analyses were conducted with MATLAB (The Mathworks Inc., Natick, MA). Significance was defined as p<0.05, with a fold change (FC) larger than 20%, as in previous analyses of this type of data [47]–[49].
Enriched Biochemical Pathways Restored in HIV-1Tg Rats
The genes significantly restored by nicotine in the HIV-1Tg rats were further analyzed using the Ingenuity Pathway Analysis program (IPA; https://analysis.ingenuity.com) in order to identify the biochemical pathways affected. The core component of IPA is the Ingenuity Pathways Knowledge Base (IPKB), which contains the biological function, interaction, and other related information of a curated gene set and more than 330 biochemical pathways. This pathway-based software is designed to identify global canonical pathways, dynamically generated biological networks, and global functions from a given list of genes. Basically, the genes, with their symbol or corresponding GenBank accession number or both, were uploaded into the IPA and compared with the genes included in each canonical pathway using the whole gene set of IPKB as the background. All the pathways with one or more genes overlapping the candidate genes were extracted. In IPA, each of these pathways was assigned a p value via Fisher’s exact test, which denoted the probability of overlap between the pathway and the input genes.
Data Access
The deep sequencing RNA data from this study have been deposited in the NCBI SRA database and are accessible through GEO series accession number GSE47474 (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE47474).
Results
Nicotine’s Effects on Gene Expression in the Brains of HIV-1Tg Rats
We found 439, 505, and 508 differentially expressed genes in the PFC, HIP, and STR, respectively, between saline-treated HIV-1Tg (HIV_Sal) and saline-treated control strain F344 rats (F344_Sal) (Table 1). Of these genes, 89, 115, and 70 in the PFC, HIP, and STR, respectively, were affected by nicotine in the HIV-1Tg rats (HIV_Nic vs HIV_Sal). The mRNA expression of almost all of these genes in the HIV-1Tg rats was restored at least partially by nicotine in the HIV-1 Tg rats. The only exceptions were immunoglobulin-binding protein 1 (Igbp1) in the HIP (F344_Sal: 1.44±0.06 vs HIV_Sal: 3.55±0.41; p<0.05; HIV_Sal: 3.55±0.41 vs HIV_Nic: 11.41±0.24; p<0.01) and transcription elongation factor A N-terminal and central domain-containing protein 2 (LOC366431) in the STR (F344_Sal: 4.32±0.05 vs HIV_Sal: 3.77±0.05; p<0.01; HIV_Sal: 3.77±0.05 vs HIV_Nic: 3.28±0.03; p<0.01), in which nicotine worsened their expression in the HIV-1 Tg rats as compared to F344_Sal controls.
Table 1. Number of genes differentially expressed in HIV-1Tg rats and affected by nicotine.
Gene Groups | PFC | HIP | STR | |
A): Genes differentially expressed in HIV-1 Tg rats (HIV _Sal vs. F344_ Sal) | 439 | 505 | 508 | |
Genes abnormally expressed and further affected by nicotine in HIV-1Tg rats (HIV_Sal vs. F344_Sal & HIV_Nic vs. HIV_Sal) | B): All | 89 | 115 | 79 |
C): Restored by nicotine treatment | 89 | 114 | 78 | |
D): Worsened by nicotine treatment | 0 | 1 | 1 |
Number of genes with significant expression differences between saline-treated HIV-1Tg rats (HIV_Sal) and F344 rats (F344 _Sal) (Row A). Some of these genes were further altered by nicotine treatment in HIV-1 Tg rats (Row B), with most restored by nicotine treatment (Row C); only two genes had their expression worsened by nicotine (Row D) in the prefrontal cortex (PFC), dorsal hippocampus (HIP), or dorsal striatum (STR) of HIV-1Tg rats.
Nicotine-restored Pathways in the Brains of HIV-1Tg Rats
The IPA pathway analysis of the genes restored by nicotine in the HIV-1Tg rats revealed different pathways in distinct brain regions (Figure 1). In the PFC, the pathways significantly restored by nicotine were: Wnt/β-catenin signaling, ephrin B signaling, N-glycan biosynthesis, nucleotide sugars metabolism, ephrin receptor signaling, assembly of RNA polymerase I complex, melatonin signaling, and glycine, serine, and threonine metabolism. In the HIP, the pathways restored by nicotine were CREB signaling, glutathione metabolism, assembly of RNA polymerase II complex, estrogen receptor signaling, riboflavin metabolism, α-adrenergic signaling, CDK5 signaling, nucleotide excision repair pathway, protein kinase A signaling, glutamate receptor signaling, neurotrophin/TRK signaling, glucocorticoid receptor signaling, JAK/stat signaling, and chemokine signaling. In the STR, the nicotine-restored pathways were: TCA cycle II (eukaryotic), calcium signaling, mechanisms of viral exit from host cells, MSP-RON signaling, regulation of eIF4 and p70S6K signaling, tight junction signaling, EIF2 signaling, tetrapyrrole biosynthesis II, aspartate degradation II, leukocyte extravasation signaling, UDP-N-acetyl-D-glucosamine biosynthesis II, agrin interactions at neuromuscular junction, clathrin-mediated endocytosis signaling, and ILK signaling.
Genes in the Two Most Significantly Restored Pathways in each Brain Region
In the PFC (Figure 2, Table 2), the genes in the Wnt/beta catenin signaling and ephrin B signaling pathways overlapped to some degree. Compared with F344_Sal rats, HIV_Sal rats showed decreased mRNA expression for wingless-related MMTV integration site 5A (Wnt5a), wingless-type MMTV integration site 7A (Wnt7a), Axin-1 (Axin1), fibroblast growth factor 9 (Fgf9), Eph receptor B1 (Ephb1), and mitogen-activated protein kinase 8 interacting protein 2 (Mapk8ip2). Conversely, the HIV_Sal rats showed higher mRNA expression for guanine nucleotide-binding protein G(o) subunit alpha (Gnao1) than did F344_Sal rats. The expression of all of these genes was significantly changed by nicotine in the PFC of HIV-1Tg rats, whereas nicotine significantly decreased only the expression of Mapk8ip2 in F344 rats. After nicotine treatment, the expression of all of these genes was restored to normal in the HIV-1Tg rats, as there was no significant difference detected between HIV_Nic rats and F344_Sal control rats.
Table 2. The expression of genes in the top two pathways restored by nicotine in HIV-1Tg rats.
Brain Region | Gene Symbol | Gene Name | F344_Sal | F344_Nic | HIV_Sal | HIV_Nic |
PFC | Wnt/beta catenin and Ephrin B signaling | |||||
Wnt5a | Wingless-related MMTV integration site 5A | 0.65±0.10 | 0.43±0.27 | 0.36±0.23* | 0.72±0.13† | |
Wnt7a | Wingless-type MMTV integration site 7A | 5.59±0.03 | 5.66±0.03 | 4.45±0.14* | 5.63±0.05† | |
Axin1 | Axin-1 | 4.46±0.11 | 4.59±0.09 | 2.77±0.24* | 4.83±0.14†† | |
Gnao1 | Guanine nucleotide-binding protein G(o) subunit alpha | 53.95±0.06 | 64.43±0.08 | 74.42±0.16* | 54.34±0.07† | |
Fgf9 | Fibroblast growth factor 9 | 3.68±0.14 | 2.89±0.15 | 1.41±0.37*** | 2.83±0.10† | |
Ephb1 | Eph receptor B1 | 7.75±0.02 | 7.34±0.02 | 6.82±0.03*** | 7.31±0.03† | |
Mapk8ip2 | Mitogen-activated protein kinase 8 interacting protein 2 | 69.83±0.11 | 27.24±0.41† | 11.16±0.08*** | 34.78±0.32†† | |
HIP | CREB signaling | |||||
Cabp1 | Calcium-binding protein 1 | 13.45±0.09 | 9.12±0.08††† | 9.86±0.08** | 13.02±0.13† | |
Calm3 | Calmodulin 3 | 516.89±0.12 | 509.81±0.04 | 300.72±0.34* | 519.39±0.07† | |
Gnal | Guanine nucleotide binding protein, alpha stimulating, olfactory type | 12.32±0.08 | 7.95±0.23 | 5.46±0.32** | 14.74±0.08††† | |
Ntrk2 | Neurotrophic tyrosine kinase, receptor, type 2 | 44.77±0.12 | 58.24±0.07 | 26.56±0.27* | 47.22±0.15† | |
Polr2c | Polymerase (RNA) II (DNA directed) polypeptide C | 23.40±0.05 | 23.69±0.04 | 7.50±0.43** | 26.10±0.07††† | |
glutathione metabolism | ||||||
Gsr | Glutathione reductase | 13.05±0.04 | 11.76±0.06 | 10.92±0.02** | 12.94±0.05†† | |
Gstm7 | Glutathione S-transferase, mu 7 | 110.40±0.07 | 107.17±0.04 | 86.55±0.10** | 112.61±0.04†† | |
Cflar | CASP8 and FADD-like apoptosis regulator | 2.13±0.08 | 2.09±0.08 | 1.45±0.19** | 2.35±0.04††† | |
Plch1 | Phospholipase C, eta 1 | 0.56±0.27 | 0.48±0.19 | 1.17±0.10* | 0.54±0.21†† | |
STR | TCA cycle | |||||
Idh3B | Isocitrate dehydrogenase 3 (NAD+) beta | 68.88±0.07 | 46.58±0.14† | 46.54±0.17* | 71.29±0.05† | |
Mdh1 | Malate dehydrogenase 1, NAD (soluble) | 37.49±0.05 | 34.35±0.04 | 102.42±0.44** | 38.26±0.04†† | |
Ndufs4 | NADH dehydrogenase (ubiquinone) Fe-S protein 4 | 34.87±0.47 | 92.84±0.05† | 90.32±0.03* | 16.75±0.23††† | |
Plaa | Phospholipase A2, activating protein | 2.43±0.14 | 2.90±0.05 | 8.57±0.04*** | 3.10±0.30††† | |
Calcium signaling | ||||||
Chp | Calcium-binding protein p22 | 5.45±0.13 | 5.14±0.11 | 12.36±0.14*** | 6.80±0.21†† | |
Ephb1 | Eph receptor B1 | 15.91±0.05 | 13.60±0.08 | 7.93±0.29*** | 12.83±0.12† | |
Letm1 | Leucine zipper-EF-hand-containing transmembraneprotein 1 | 63833.44±0.10 | 88257.60±0.11 | 105319.91±0.25* | 64125.09±0.20† | |
Rap1b | RAS-related protein 1b | 24.66±0.09 | 22.30±0.13 | 13.56±0.30** | 25.37±0.09†† |
The expression of genes in the pathways most significantly restored by nicotine in the prefrontal cortex (PFC), dorsal hippocampus (HIP), or dorsal striatum (STR) of HIV-1Tg rats. Data are expressed as the mean of fragments per kilobase of exon per million fragments mapped (FPKM) ± SEM in saline-treated F344 (F344_Sal), nicotine-treated F344 (F344_Nic), saline-treated HIV-1Tg (HIV_Sal), and nicotine-treated HIV-1Tg (HIV_Nic) rats.
p<0.05,
p<0.001,
p<0.001 indicate significant strain differences;
p<0.05,
p<0.01,
p<0.001 indicate significant drug effects within each strain.
In the HIP (Figure 3, Table 2), the genes involved in CREB signaling, including calcium-binding protein 1 (Cabp1), calmodulin 3 (Calm3), guanine nucleotide-binding protein, alpha stimulating, olfactory type (Gnal), neurotrophic tyrosine kinase receptor, type 2 (Ntrk2), and polymerase (RNA) II (DNA-directed) polypeptide C (Polr2c) showed significantly less expression in the HIV_Sal group than in the F344_Sal group. The mRNA expression of all these genes were altered by nicotine in the HIV-1Tg rats, whereas only Cabp1 was significantly decreased by nicotine in the F344 rats. These genes were all restored by nicotine to normal in the HIV-1 Tg rats, as there was no significant difference between HIV_Nic and F344 _Sal rats. Glutathione metabolism-related genes, including glutathione reductase (Gsr), glutathione S-transferase, mu 7 (Gstm7), and CASP8 and FADD-like apoptosis regulator (Cflar), were downregulated and phospholipase C, eta 1 (Plch1) was upregulated in the HIP of HIV_Sal compared with F344_Sal group. All of these genes were significantly changed by nicotine treatment in the HIV-1Tg but not F344 rats. After nicotine treatment, the expression of all these genes in the HIV-1Tg rats was similar to that in the F344_Sal group.
In the STR (Figure 4 and Table 2), the mRNA expression of TCA cycle-related genes, including malate dehydrogenase 1, NAD (Mdh1), NADH dehydrogenase (ubiquinone) Fe-S protein 4 (Ndufs4), and phospholipase A2 activating protein (Plaa) were upregulated, while isocitrate dehydrogenase 3 (NAD+) beta (Idh3B) was downregulated in the HIV_Sal compared with F344_Sal rats. The expression of Idh3B was increased by nicotine in the HIV-1Tg rats while it was decreased in the F344 rats. In contrast, Ndufs4 was downregulated by nicotine treatment in the HIV-1Tg rat, whereas it was upregulated by nicotine in the F344 rats. Both Mdh1 and Plaa were downregulated by nicotine in the HIV-1Tg rats but were not changed by nicotine in the F344 rats as compared to their saline treated controls. After nicotine treatment, the expression of all of these genes showed no differences between HIV-1 Tg and F344_Sal rats. In calcium signaling, the expression of calcium-binding protein p22 (Chp) and leucine zipper-EF-hand-containing transmembrane protein 1 (Letm1) were increased, whereas the expression of Eph receptor B1(Ephb1) and RAS-related protein 1b (Rap1b) was decreased in the HIV_Sal compared with the F344_Sal group. Nicotine decreased the expression of Chp and Letm1, and increased the expression of Ephb1 and Rap1b, in the HIV-1Tg rats, whereas it had no effect on the expression of any of these genes in the F344 rats. After nicotine treatment, all of these genes in the HIV-1Tg rats were expressed to a degree similar to that in the F344_Sal group.
Discussion
Studies of the effects of nicotine on HIV-1 pathogenesis are still few. Our exon-wide gene expression analyses showed that nicotine, at least partially, reversed abnormal gene expression in the CNS of HIV-1Tg rats. This finding is consistent with those of previous studies suggesting that HIV-1 proteins and nicotine have opposite effects by regulating their shared pathways in opposite directions [18], [21], [41].
By evaluating brain regions important in cognition and motor control, we found that nicotine restored the gene expression in the HIV-1 Tg rats in a brain region-dependent manner. Although the mechanisms underlying the brain region differences are still less clear, it may result from expression of different nicotinic receptors and distinct neurochemistry [50], [51].
Prefrontal Cortex
Among the pathways restored by nicotine in the PFC of HIV-1Tg rats, Wnt/β-catenin signaling was the most significant. Such signaling, also known as canonical Wnt signaling, is activated by the binding of Wnt ligands to the frizzled membrane receptors and their co-receptors (LRP5/6), which prevents degradation of β-catenin. The stabilized β-catenin enters the nucleus and regulates gene transcription [52]. Our data demonstrated that the abnormal expression of a few genes of Wnt/β-catenin signaling in the HIV-1Tg rats, including the downregulation of Wnt5a, Wnt7a, and Axin1 and the upregulation of Gnao1, was restored by nicotine to a level similar to that in saline-treated F344 rats. Moreover, we observed that the decreased expression of Fgf9, a fibroblast growth factor with neuroprotective function [53], in the HIV-1Tg rats was increased by nicotine treatment. Wnt/β-catenin signaling plays a major role in the early development of the nervous system, and activation of this pathway has a neuroprotective effect in adults [54], [55]. Recent studies have shown that Wnt/β-catenin signaling is also essential in myelin gene expression and myelinogenesis [56], which is important in neuronal survival [57]. Therefore, restoration of Wnt/β-catenin pathways and related genes suggests that nicotine can enhance neuronal survival in the PFC of HIV-1Tg rats. This effect is important since neurodegeneration and central demyelination have been documented in HIV-1 infected patients and animal models [58]–[60] and related to neurocognitive deficits [6]. Our data also showed that the expression of a few genes regulating the function of NMDA receptor was restored by nicotine in the HIV-1 Tg rats. Firstly, the expression of Wnt5a, which positively regulates synaptic plasticity and NMDA-mediated glutamatergic transmission via the non-canonical pathways [61]–[63], was increased to normal by nicotine in the HIV-1 Tg rats Secondly, ephrin B and ephrin receptor signaling, which regulate synaptic formation and plasticity by interacting with NMDA receptors [64]–[67], was significantly restored by nicotine. Thirdly, the decreased expression of Mapk8ip2, a scaffold protein facilitating the activity of the NMDA receptor [68], in the HIV-1 Tg rats was increased by nicotine treatment. Our previous study has shown obvious deficits in learning and memory in the HIV-1Tg rats [16], [43]. Given that neuroplasticity and NMDA-mediated glutamatergic transmission in the PFC is important in learning and memory [69], our data indicate that nicotine improves PFC-mediated learning and memory in HIV-1Tg rats by restoring the expression of genes modulating NMDA receptor activity.
Hippocampus
Our pathway analysis showed that CREB signaling was most significantly restored by nicotine in the HIP of HIV-1Tg rats. The CREB proteins are a class of transcription factors that bind to selected cAMP-response element (CRE) segments of DNA and catalyze the transcription of these genetic sequences. HIV-1Tg rats showed decreased expression of Calm3 and Cabp1which are calcium sensor proteins activating CREB signaling in a Ca2+-dependent manner [63], [70], [71]. The expression of these genes was normal following nicotine treatment. Furthermore, nicotine increased the expression of Gnal, a subunit of G protein [G(olf)], in the HIV-1 Tg rats. G(olf) is well known to regulate signal transduction of G(olf)-coupled receptors such as the dopamine D1 and -adrenergic receptors and thus induces gene expression through CREB signaling [72], [73]. We also observed the expression of Ntrk2, the receptor for BDNF/NT-3, was increased in nicotine-treated HIV-1Tg rats. Ntrk2 regulates CREB activity by several mechanisms, including via the ERK pathway [74]. Together, our data indicate a downregulation of CREB signaling in HIV-1Tg rats, which is consistent with a previous study showing decreased CREB phosphorylation in the brain of this transgenic model [18]. Our data further suggest that nicotine restores CREB-dependent gene regulation by improving signaling from Ca2+, G-protein-coupled receptors and growth factors. CREB signaling is critical in long-term synaptic plasticity and neuronal survival and therefore has been implicated as an important regulator of long-term memory [75], [76]. Nicotine therefore may improve HIP-dependent learning and memory by restoring CREB signaling in the HIP of HIV-1Tg rats.
HIV-1-infected patients have a higher incidence of oxidative stress, and animal studies show that HIV-1 viral proteins induce oxidative stress in the cardiovascular system [74], [75]. Consistent with these studies, our data indicate increased oxidative stress in the brains of HIV-1 Tg rats. This is reflected by abnormal glutathione metabolism, which is important in coping with oxidative stress, in the HIV-1Tg rats. Furthermore, we found that glutathione metabolism was significantly restored by nicotine in the HIP, with increased expression of GSR and GSTM2 in the nicotine-treated compared with saline-treated HIV-1Tg rats. Glutathione is one of the most abundant antioxidants in the brain and protects cells from oxidative stress-induced damage. Both GSR and GSTM7 are important enzymes, catalyzing glutathione recycling and its detoxification, respectively [77]. A decreased amount of glutathione and abnormal activities of these enzymes have been associated with aging and many neurodegenerative diseases, including AD and PD [78]–[80]. Therefore, restoration of glutathione metabolism by nicotine may protect neurons from oxidative stress-induced degeneration.
Oxidative stress also can be induced by overactivation of phospholipases, which regulate the turnover of free fatty acids in membrane phospholipids [81]. We observed overexpression of a phospholipase C (Plch1) in the HIV-1Tg rats, which was corrected by nicotine treatment. In addition, we noted that the expression of Cflar, a member of the death effector domain family [82], was restored by nicotine in the HIV-1Tg rats. These data further suggest that nicotine exerts a neuroprotective effect in the HIP of HIV-1Tg rats by decreasing oxidative stress.
Striatum
In the STR of HIV-1Tg rats, the tricarboxylic acid (TCA) cycle was the most significant pathway restored by nicotine. The TCA cycle, also known as the citric acid or Krebs cycle, is the major pathway for energy generation. In the mitochondria of eukaryotic cells, the TCA cycle and its closely linked pathway, the oxidative phosphorylation pathway, oxidize nutrients to produce usable energy in the form of ATP. Our data suggest that nicotine restores the function of the TCA and its related pathways. Firstly, we discovered downregulation of the expression of isocitrate dehydrogenase (Idh3B), which catalyzes the rate-limiting step of the TCA cycle, in the HIV-1Tg rats. This alteration was reversed by nicotine treatment. Secondly, a NADH dehydrogenase (Ndufs4), which catalyzes the first step of oxidative phosphorylation, was overexpressed in the HIV-1 Tg rats but decreased to normal after nicotine treatment. This suggests overactivation of oxidative phosphorylation, which may compensate an impaired TCA cycle in the STR of HIV-1Tg rats. However, overactivaton of oxidative phophorylation increases the chance of oxidative stress. The increased oxidative stress was further supported by the increased expression of malate dehydrogenase (Mdh1), an enzyme catalyzing the oxidation of malate, and overexpression of phospholipase activating protein (Plaa), which activates phospholipase 2 to modulate the turnover of free fatty acids in membrane phospholipids [81]. The expression of all of these genes was corrected by nicotine. Therefore, our data suggest that nicotine restores the function of the TCA cycle, and reduces oxidative stress in the STR of HIV-1Tg rats, thereby enhancing neuronal survival in that brain region.
Abnormal calcium signaling has been suggested as one of the mechanisms underlying HIV-1-induced neurodegeneration [83]–[85]. Our data showed that calcium signaling was significantly restored by nicotine in the STR of HIV-1Tg rats. Ephb1, which modulates NMDA receptor-dependent calcium influx [67], was downregulated in the STR of HIV-1Tg rats. Whereas Letm1, a mitochondrial Ca2+/H+ antiporter [86], was overexpressed in the HIV-1Tg rats. Over-expression of Letm1 dramatically accelerate Ca2+ uptake into mitochondria [86]. Therefore, alterations in the expression of these genes indicate a decrease in cytoplasmic Ca2+ transduction in the STR of HIV-1Tg rats. Moreover, the expression of a few Ca2+-activated proteins such as Rap1b and Chp was abnormal in the HIV-1Tg rats. The mRNA expression of all these genes was reversed by nicotine in HIV-1 Tg rats, indicating restoration of Ca2+ signal transduction in the STR of HIV-1Tg rats. Because the STR is important in motor control, learning, and memory, nicotine may have beneficial effects on those functions by restoring important signal transduction in the STR of HIV-1Tg rats.
In addition to the brain region differences, we also noticed strain differences in response to nicotine with most of the genes altered by nicotine in HIV-1Tg rats were not significantly changed in F344 rats and some genes even showed opposite changes by nicotine as compared to that in HIV-1Tg rats. Although the underlying molecular mechanisms are less clear, such strain differences were unlikely due to different mRNA expression of nicotinic acetylcholine receptors as shown in our previous study [60]. This suggests that nicotine at least at the current dose has distinct neurobehavioral effects on normal and HIV-1Tg rats.
Conclusions
Using exon-wide gene expression analyses, we demonstrated that nicotine partially corrected the abnormal gene expression and altered signaling pathways in the CNS of HIV-1Tg rats. Although this study examined only one dose of nicotine, our data strongly indicate that nicotine has beneficial effects on neurologic problems associated with HIV-1 infection, especially in patients in which viral replication is controlled, but viral proteins persist. Nicotine appeared to have neuroprotective effects by restoring distinct signaling pathways in different brain regions, thus improving cognition, learning, and memory (Figure 5). Our findings also indicate that, in addition to nicotine, other cholinergic modulators may provide potential treatments for neurologic problems associated with HIV-1 infection.
Acknowledgments
We thank Drs. David L. Bronson and Louaine L. Spriggs for their excellent editing of this manuscript.
Funding Statement
The project was supported, in part, by US National Institutes of Health grants DA-013783 to MDL, DA-016149 to SLC, and DA-026356 to SLC and MDL. However, the funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1. Wiley CA, Soontornniyomkij V, Radhakrishnan L, Masliah E, Mellors J, et al. (1998) Distribution of brain HIV load in AIDS. Brain Pathol 8: 277–284. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Krebs FC, Ross H, McAllister J, Wigdahl B (2000) HIV-1-associated central nervous system dysfunction. Adv Pharmacol 49: 315–385. [DOI] [PubMed] [Google Scholar]
- 3. Del Valle L, Pina-Oviedo S (2006) HIV disorders of the brain: pathology and pathogenesis. Front Biosci 11: 718–732. [DOI] [PubMed] [Google Scholar]
- 4. Xu J, Ikezu T (2009) The comorbidity of HIV-associated neurocognitive disorders and Alzheimer’s disease: a foreseeable medical challenge in post-HAART era. J Neuroimmune Pharmacol 4: 200–212. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. McArthur JC, Haughey N, Gartner S, Conant K, Pardo C, et al. (2003) Human immunodeficiency virus-associated dementia: an evolving disease. J Neurovirol 9: 205–221. [DOI] [PubMed] [Google Scholar]
- 6. Gonzalez-Scarano F, Martin-Garcia J (2005) The neuropathogenesis of AIDS. Nat Rev Immunol 5: 69–81. [DOI] [PubMed] [Google Scholar]
- 7. Vigano A, Trabattoni D, Schneider L, Ottaviani F, Aliffi A, et al. (2006) Failure to eradicate HIV despite fully successful HAART initiated in the first days of life. J Pediatr 148: 389–391. [DOI] [PubMed] [Google Scholar]
- 8. Jones LE, Perelson AS (2005) Opportunistic infection as a cause of transient viremia in chronically infected HIV patients under treatment with HAART. Bull Math Biol 67: 1227–1251. [DOI] [PubMed] [Google Scholar]
- 9. Lucas S (2001) Update on the pathology of AIDS. Intensive Crit Care Nurs 17: 155–166. [DOI] [PubMed] [Google Scholar]
- 10. Sleasman JW, Goodenow MM (2003) 13. HIV-1 infection. Journal of Allergy and Clinical Immunology 111: 582–592. [DOI] [PubMed] [Google Scholar]
- 11. Agbottah E, Zhang N, Dadgar S, Pumfery A, Wade JD, et al. (2006) Inhibition of HIV-1 virus replication using small soluble Tat peptides. Virology 345: 373–389. [DOI] [PubMed] [Google Scholar]
- 12. Barbaro G, Scozzafava A, Mastrolorenzo A, Supuran CT (2005) Highly active antiretroviral therapy: current state of the art, new agents and their pharmacological interactions useful for improving therapeutic outcome. Curr Pharm Des 11: 1805–1843. [DOI] [PubMed] [Google Scholar]
- 13. Gianotti N, Lazzarin A (2005) Sequencing antiretroviral drugs for long-lasting suppression of HIV replication. New Microbiol 28: 281–297. [PubMed] [Google Scholar]
- 14. Reid W, Sadowska M, Denaro F, Rao S, Foulke J Jr, et al. (2001) An HIV-1 transgenic rat that develops HIV-related pathology and immunologic dysfunction. Proc Natl Acad Sci U S A 98: 9271–9276. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Lashomb AL, Vigorito M, Chang SL (2009) Further characterization of the spatial learning deficit in the human immunodeficiency virus-1 transgenic rat. J Neurovirol 15: 14–24. [DOI] [PubMed] [Google Scholar]
- 16. Vigorito M, LaShomb AL, Chang SL (2007) Spatial learning and memory in HIV-1 transgenic rats. J Neuroimmune Pharmacol 2: 319–328. [DOI] [PubMed] [Google Scholar]
- 17. Homji NF, Mao X, Langsdorf EF, Chang SL (2012) Endotoxin-induced cytokine and chemokine expression in the HIV-1 transgenic rat. J Neuroinflammation 9: 3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Midde NM, Gomez AM, Harrod SB, Zhu J (2011) Genetically expressed HIV-1 viral proteins attenuate nicotine-induced behavioral sensitization and alter mesocorticolimbic ERK and CREB signaling in rats. Pharmacol Biochem Behav 98: 587–597. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Sarkar S, Mao X, Liu C, Chang SL (2012) Age- and Ethanol Concentration-Dependent Effects of Acute Binge Drinking in the HIV-1 Transgenic Rat. Alcohol Clin Exp Res. [DOI] [PMC free article] [PubMed]
- 20. Furey ML (2011) The prominent role of stimulus processing: cholinergic function and dysfunction in cognition. Curr Opin Neurol 24: 364–370. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Pepeu G, Giovannini MG (2010) Cholinesterase inhibitors and memory. Chem Biol Interact 187: 403–408. [DOI] [PubMed] [Google Scholar]
- 22. Swan GE, Lessov-Schlaggar CN (2007) The effects of tobacco smoke and nicotine on cognition and the brain. Neuropsychol Rev 17: 259–273. [DOI] [PubMed] [Google Scholar]
- 23. Sellin AK, Shad M, Tamminga C (2008) Muscarinic agonists for the treatment of cognition in schizophrenia. CNS Spectr 13: 985–996. [DOI] [PubMed] [Google Scholar]
- 24. Hernandez CM, Dineley KT (2012) alpha7 nicotinic acetylcholine receptors in Alzheimer’s disease: neuroprotective, neurotrophic or both? Curr Drug Targets 13: 613–622. [DOI] [PubMed] [Google Scholar]
- 25. Bartus RT (2000) On neurodegenerative diseases, models, and treatment strategies: lessons learned and lessons forgotten a generation following the cholinergic hypothesis. Exp Neurol 163: 495–529. [DOI] [PubMed] [Google Scholar]
- 26. Picciotto MR, Zoli M (2002) Nicotinic receptors in aging and dementia. J Neurobiol 53: 641–655. [DOI] [PubMed] [Google Scholar]
- 27. Riljak V, Langmeier M (2005) Nicotine an efficient tool of the neurobiological research today, the tool of treatment tomorrow? Prague Med Rep 106: 329–348. [PubMed] [Google Scholar]
- 28. Mihailescu S, Drucker-Colin R (2000) Nicotine, brain nicotinic receptors, and neuropsychiatric disorders. Arch Med Res 31: 131–144. [DOI] [PubMed] [Google Scholar]
- 29. Lee PN (1994) Smoking and Alzheimer’s disease: a review of the epidemiological evidence. Neuroepidemiology 13: 131–144. [DOI] [PubMed] [Google Scholar]
- 30. Cataldo JK, Prochaska JJ, Glantz SA (2010) Cigarette smoking is a risk factor for Alzheimer’s Disease: an analysis controlling for tobacco industry affiliation. J Alzheimers Dis 19: 465–480. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Pauly JR, Charriez CM, Guseva MV, Scheff SW (2004) Nicotinic receptor modulation for neuroprotection and enhancement of functional recovery following brain injury or disease. Ann N Y Acad Sci 1035: 316–334. [DOI] [PubMed] [Google Scholar]
- 32. Sopori M (2002) Effects of cigarette smoke on the immune system. Nat Rev Immunol 2: 372–377. [DOI] [PubMed] [Google Scholar]
- 33. Sopori ML, Kozak W (1998) Immunomodulatory effects of cigarette smoke. J Neuroimmunol 83: 148–156. [DOI] [PubMed] [Google Scholar]
- 34. De Simone R, Ajmone-Cat MA, Carnevale D, Minghetti L (2005) Activation of alpha7 nicotinic acetylcholine receptor by nicotine selectively up-regulates cyclooxygenase-2 and prostaglandin E2 in rat microglial cultures. J Neuroinflammation 2: 4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Sharifzadeh M, Tavasoli M, Naghdi N, Ghanbari A, Amini M, et al. (2005) Post-training intrahippocampal infusion of nicotine prevents spatial memory retention deficits induced by the cyclo-oxygenase-2-specific inhibitor celecoxib in rats. J Neurochem 95: 1078–1090. [DOI] [PubMed] [Google Scholar]
- 36. Bracci L, Lozzi L, Rustici M, Neri P (1992) Binding of HIV-1 gp120 to the nicotinic receptor. FEBS Lett 311: 115–118. [DOI] [PubMed] [Google Scholar]
- 37. Farr SA, Banks WA, Uezu K, Freed EO, Kumar VB, et al. (2002) Mechanisms of HIV type 1-induced cognitive impairment: evidence for hippocampal cholinergic involvement with overstimulation of the VIPergic system by the viral coat protein core. AIDS Res Hum Retroviruses 18: 1189–1195. [DOI] [PubMed] [Google Scholar]
- 38. Loram LC, Harrison JA, Chao L, Taylor FR, Reddy A, et al. (2010) Intrathecal injection of an alpha seven nicotinic acetylcholine receptor agonist attenuates gp120-induced mechanical allodynia and spinal pro-inflammatory cytokine profiles in rats. Brain Behav Immun 24: 959–967. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Rock RB, Gekker G, Aravalli RN, Hu S, Sheng WS, et al. (2008) Potentiation of HIV-1 expression in microglial cells by nicotine: involvement of transforming growth factor-beta 1. J Neuroimmune Pharmacol 3: 143–149. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Abbud RA, Finegan CK, Guay LA, Rich EA (1995) Enhanced production of human immunodeficiency virus type 1 by in vitro-infected alveolar macrophages from otherwise healthy cigarette smokers. J Infect Dis 172: 859–863. [DOI] [PubMed] [Google Scholar]
- 41. Giunta B, Ehrhart J, Townsend K, Sun N, Vendrame M, et al. (2004) Galantamine and nicotine have a synergistic effect on inhibition of microglial activation induced by HIV-1 gp120. Brain Res Bull 64: 165–170. [DOI] [PubMed] [Google Scholar]
- 42. Gonzalez-Lira B, Rueda-Orozco PE, Galicia O, Montes-Rodriguez CJ, Guzman K, et al. (2006) Nicotine prevents HIVgp120-caused electrophysiological and motor disturbances in rats. Neurosci Lett 394: 136–139. [DOI] [PubMed] [Google Scholar]
- 43.Vigorito M, Cao J, Li MD, Chang SL (2013) Acquisition and long-term retention of spiral learning in HIV-1 transgenic and F344 rats: effects of repeated nicotine treatment. J NeuroVirilogy Accepted. [DOI] [PMC free article] [PubMed]
- 44.Paxinos G, Watson C (1998) The Rat Brain in Stereotaxic Coordinates. New York: Academic Press.
- 45. Li MD, Cao J, Wang S, Wang J, Sarkar S, et al. (2013) Transcriptome sequencing of gene expression in the brain of the HIV-1 transgenic rat. PLoS One 8(3): e59582. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Li MD, Kane JK, Wang J, Ma JZ (2004) Time-dependent changes in transcriptional profiles within five rat brain regions in response to nicotine treatment. Brain Res Mol Brain Res 132: 168–180. [DOI] [PubMed] [Google Scholar]
- 47. Wei J, Wang J, Dwyer JB, Mangold J, Cao J, et al. (2011) Gestational nicotine treatment modulates cell death/survival-related pathways in the brains of adolescent female rats. Int J Neuropsychopharmacol 14: 91–106. [DOI] [PubMed] [Google Scholar]
- 48. Cao J, Dwyer JB, Mangold JE, Wang J, Wei J, et al. (2011) Modulation of cell adhesion systems by prenatal nicotine exposure in limbic brain regions of adolescent female rats. Int J Neuropsychopharmacol 14: 157–174. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49. Cui WY, Wang J, Wei J, Cao J, Chang SL, et al. (2012) Modulation of innate immune-related pathways in nicotine-treated SH-SY5Y cells. Amino Acids 43: 1157–1169. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. Leslie FM, Mojica CY, Reynaga DD (2013) Nicotinic receptors in addiction pathways. Mol Pharmacol 83: 753–758. [DOI] [PubMed] [Google Scholar]
- 51. Tuesta LM, Fowler CD, Kenny PJ (2011) Recent advances in understanding nicotinic receptor signaling mechanisms that regulate drug self-administration behavior. Biochem Pharmacol 82: 984–995. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Clevers H, Nusse R (2012) Wnt/beta-catenin signaling and disease. Cell 149: 1192–1205. [DOI] [PubMed] [Google Scholar]
- 53. Huang JY, Hong YT, Chuang JI (2009) Fibroblast growth factor 9 prevents MPP+-induced death of dopaminergic neurons and is involved in melatonin neuroprotection in vivo and in vitro. J Neurochem 109: 1400–1412. [DOI] [PubMed] [Google Scholar]
- 54. Toledo EM, Colombres M, Inestrosa NC (2008) Wnt signaling in neuroprotection and stem cell differentiation. Prog Neurobiol 86: 281–296. [DOI] [PubMed] [Google Scholar]
- 55. Inestrosa NC, Toledo EM (2008) The role of Wnt signaling in neuronal dysfunction in Alzheimer’s Disease. Mol Neurodegener 3: 9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56. Tawk M, Makoukji J, Belle M, Fonte C, Trousson A, et al. (2011) Wnt/beta-catenin signaling is an essential and direct driver of myelin gene expression and myelinogenesis. J Neurosci 31: 3729–3742. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58. Schmidbauer M, Huemer M, Cristina S, Trabattoni GR, Budka H (1992) Morphological spectrum, distribution and clinical correlation of white matter lesions in AIDS brains. Neuropathol Appl Neurobiol 18: 489–501. [DOI] [PubMed] [Google Scholar]
- 59. Berger JR, Tornatore C, Major EO, Bruce J, Shapshak P, et al. (1992) Relapsing and remitting human immunodeficiency virus-associated leukoencephalomyelopathy. Ann Neurol 31: 34–38. [DOI] [PubMed] [Google Scholar]
- 60. Li MD, Cao J, Wang S, Wang J, Sarkar S, et al. (2013) Transcriptome Sequencing of Gene Expression in the Brain of the HIV-1 Transgenic Rat. PLoS One 8: e59582. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61. Montcouquiol M, Crenshaw EB 3rd, Kelley MW (2006) Noncanonical Wnt signaling and neural polarity. Annu Rev Neurosci 29: 363–386. [DOI] [PubMed] [Google Scholar]
- 62. Varela-Nallar L, Alfaro IE, Serrano FG, Parodi J, Inestrosa NC (2010) Wingless-type family member 5A (Wnt-5a) stimulates synaptic differentiation and function of glutamatergic synapses. Proc Natl Acad Sci U S A 107: 21164–21169. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63. Farias GG, Alfaro IE, Cerpa W, Grabowski CP, Godoy JA, et al. (2009) Wnt-5a/JNK signaling promotes the clustering of PSD-95 in hippocampal neurons. J Biol Chem 284: 15857–15866. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64. Dalva MB, Takasu MA, Lin MZ, Shamah SM, Hu L, et al. (2000) EphB receptors interact with NMDA receptors and regulate excitatory synapse formation. Cell 103: 945–956. [DOI] [PubMed] [Google Scholar]
- 65. Grunwald IC, Korte M, Wolfer D, Wilkinson GA, Unsicker K, et al. (2001) Kinase-independent requirement of EphB2 receptors in hippocampal synaptic plasticity. Neuron 32: 1027–1040. [DOI] [PubMed] [Google Scholar]
- 66. Henderson JT, Georgiou J, Jia Z, Robertson J, Elowe S, et al. (2001) The receptor tyrosine kinase EphB2 regulates NMDA-dependent synaptic function. Neuron 32: 1041–1056. [DOI] [PubMed] [Google Scholar]
- 67. Takasu MA, Dalva MB, Zigmond RE, Greenberg ME (2002) Modulation of NMDA receptor-dependent calcium influx and gene expression through EphB receptors. Science 295: 491–495. [DOI] [PubMed] [Google Scholar]
- 68. Kennedy NJ, Martin G, Ehrhardt AG, Cavanagh-Kyros J, Kuan CY, et al. (2007) Requirement of JIP scaffold proteins for NMDA-mediated signal transduction. Genes Dev 21: 2336–2346. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69. Gilmartin MR, Helmstetter FJ (2010) Trace and contextual fear conditioning require neural activity and NMDA receptor-dependent transmission in the medial prefrontal cortex. Learn Mem 17: 289–296. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70. Deisseroth K, Heist EK, Tsien RW (1998) Translocation of calmodulin to the nucleus supports CREB phosphorylation in hippocampal neurons. Nature 392: 198–202. [DOI] [PubMed] [Google Scholar]
- 71. Dieterich DC, Karpova A, Mikhaylova M, Zdobnova I, Konig I, et al. (2008) Caldendrin-Jacob: a protein liaison that couples NMDA receptor signalling to the nucleus. PLoS Biol 6: e34. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72. Herve D, Levi-Strauss M, Marey-Semper I, Verney C, Tassin JP, et al. (1993) G(olf) and Gs in rat basal ganglia: possible involvement of G(olf) in the coupling of dopamine D1 receptor with adenylyl cyclase. J Neurosci 13: 2237–2248. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73. Jones DT, Masters SB, Bourne HR, Reed RR (1990) Biochemical characterization of three stimulatory GTP-binding proteins. The large and small forms of Gs and the olfactory-specific G-protein, Golf. J Biol Chem 265: 2671–2676. [PubMed] [Google Scholar]
- 74. Ohira K, Hayashi M (2009) A new aspect of the TrkB signaling pathway in neural plasticity. Curr Neuropharmacol 7: 276–285. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75. Bito H, Takemoto-Kimura S (2003) Ca(2+)/CREB/CBP-dependent gene regulation: a shared mechanism critical in long-term synaptic plasticity and neuronal survival. Cell Calcium 34: 425–430. [DOI] [PubMed] [Google Scholar]
- 76. Lonze BE, Ginty DD (2002) Function and regulation of CREB family transcription factors in the nervous system. Neuron 35: 605–623. [DOI] [PubMed] [Google Scholar]
- 77. Meister A (1988) Glutathione metabolism and its selective modification. J Biol Chem 263: 17205–17208. [PubMed] [Google Scholar]
- 78. Schulz JB, Lindenau J, Seyfried J, Dichgans J (2000) Glutathione, oxidative stress and neurodegeneration. Eur J Biochem 267: 4904–4911. [DOI] [PubMed] [Google Scholar]
- 79. Pocernich CB, Butterfield DA (2012) Elevation of glutathione as a therapeutic strategy in Alzheimer disease. Biochim Biophys Acta 1822: 625–630. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80. Martin HL, Teismann P (2009) Glutathione–a review on its role and significance in Parkinson’s disease. FASEB J 23: 3263–3272. [DOI] [PubMed] [Google Scholar]
- 81. Phillis JW, O’Regan MH (2004) A potentially critical role of phospholipases in central nervous system ischemic, traumatic, and neurodegenerative disorders. Brain Res Brain Res Rev 44: 13–47. [DOI] [PubMed] [Google Scholar]
- 82. Yu JW, Shi Y (2008) FLIP and the death effector domain family. Oncogene 27: 6216–6227. [DOI] [PubMed] [Google Scholar]
- 83. Ballester LY, Capo-Velez CM, Garcia-Beltran WF, Ramos FM, Vazquez-Rosa E, et al. (2012) Up-regulation of the neuronal nicotinic receptor alpha7 by HIV glycoprotein 120: potential implications for HIV-associated neurocognitive disorder. J Biol Chem 287: 3079–3086. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84. Feligioni M, Raiteri L, Pattarini R, Grilli M, Bruzzone S, et al. (2003) The human immunodeficiency virus-1 protein Tat and its discrete fragments evoke selective release of acetylcholine from human and rat cerebrocortical terminals through species-specific mechanisms. J Neurosci 23: 6810–6818. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85. Ciardo A, Meldolesi J (1993) Effects of the HIV-1 envelope glycoprotein gp120 in cerebellar cultures. [Ca2+]i increases in a glial cell subpopulation. Eur J Neurosci 5: 1711–1718. [DOI] [PubMed] [Google Scholar]
- 86. Jiang D, Zhao L, Clapham DE (2009) Genome-wide RNAi screen identifies Letm1 as a mitochondrial Ca2+/H+ antiporter. Science 326: 144–147. [DOI] [PMC free article] [PubMed] [Google Scholar]