Background
Environmental influences are translated by epigenetic mechanisms into expression changes of target genes, which may have significant roles in brain development. Administration of anesthetics also represents an environmental influence which can induce epigenetic changes, especially when exposed in the vulnerable phase of brain development. As an example, administration of ethanol, one of the oldest anesthetics known, during critical stages of brain development, results in significant chromatin remodelling [
1,
2] in the promoters of several genes leading to long-term cognitive impairments, such as the brain-derived neurotrophic factor (BDNF) and c-Fos genes [
1,
3]. Furthermore, general anesthesia can induce histone modification, resulting in suppression of, e.g., mouse Per2 expression in the suprachiasmatic nucleus [
4] and c-Fos and BDNF histones within the immature rat hippocampus [
5]. A further study revealed increased occupancy and methylation levels at the promoter region of the BDNF accompanied by suppressed BDNF expression and subsequent memory loss [
6].
Together, these studies provide hints that epigenetic modulation may play a role in anesthesia related phenotypes. While isoflurane anesthesia can evoke neuroinflammation [
7] and neuroapoptosis [
8‐
10] in animal experiments, we investigated in this a priori in vitro analysis, whether isoflurane causes DNA methylation changes in an array of genes involved in apoptosis, cytokine production, and inflammatory response. We also assessed whether results obtained in the permanent hippocampal cell line HT22 are comparable with those in primary cultured hippocampal neurons. If results were comparable, further research, of cause, would be much easier than obtaining and maintaining in culture postnatal primary hippocampal neurons.
Therefore, we measured and compared methylation of an array of genes of HT22 cells and primary hippocampal neurons without and after isoflurane exposure. In case of changes in methylation of specific genes, mRNA analysis was performed to assess possible effects on gene expression.
Methods
Cell lines
HT22 is an immortalized mouse hippocampal cell line, which is a sub-line derived from parent HT4 cells that were originally immortalized from cultures of primary mouse hippocampal neurons [
1]. The HT22 cells were a generous gift from the Salk Institute (La Jolla, CA, USA). HT22 cells were routinely maintained in Dulbecco’s modified Eagle’s medium (DMEM) supplemented with 10% fetal bovine serum, and in a 5% CO2 atmosphere at 37 °C.
Primary mouse hippocampal neurons were purchased from Lonza (M-HI-401, LOT numbers: 030807, 301,006, and 240,807, Basel, Switzerland). Mouse hippocampal neurons were isolated from E16–17, CD-1 mice which had been killed by decapitation, and then cryopreserved at primary passage. They stain positive for PGP and Tuj-1 and test negative for mycoplasma. Preparation of medium, coating of cell culture plates, thawing of cells / initiation of culture process, and maintenance of the cell culture was performed according to the manufacturer’s instructions. On day 1 of each experiment, thawing of cells and initiation of the culture process was started. Cells were seeded for experiments on day 4, 5, or 6 and underwent isoflurane or control exposures on the following day (day 5,6, or 7). The morphology of cultured cells was assessed once daily by microscopy.
Cell exposures
For isoflurane exposure, HT22 cells or primary hippocampal neurons were transferred into a Billups-Rothenburg chamber (MIC-101, Billups-Rothenburg, Del Mar, CA) [
11]. An in-line calibrated anesthetic agent Vaporizer (Dräger, Lübeck, Germany) was used to deliver isoflurane to the gas phase of the culture wells. Control air (5% CO2, 21% O2, balance nitrogen) (Air Liquide, Düsseldorf, Germany) and 3% isoflurane were delivered into the chamber with 5 l/min over 20 min. Effluent isoflurane, and carbon dioxide concentrations were monitored during flushing the chamber via a sampling port connected to an anesthetic agent analyzer (DrägerVamos, Lübeck, Germany). The chamber was then placed immediately into an incubator and remained there for 4 h. Isoflurane concentrations (3%) were again checked after 30, 90, and 180 min after exposure while flushing the chamber for 5 min. Control experiments were performed in the same manner, except that no isoflurane was added.
Experimental protocol
Three hundred thousand HT22 cells were seeded in 6-well plates and underwent isoflurane exposure or control experiments without isoflurane. The experiments were repeated 6 times.
Primary hippocampal neurons were cultivated according to the manufacturer’s instructions. On culture days 4, 5, and 6 200.000 cells were seeded on a 24-well plate and underwent isoflurane or control exposures the following day (day 5, 6 or 7). For methylation analysis, this experiment was performed twice, resulting in 6 single experiments. Therefore, in the methylation analysis of primary hippocampal neurons, 2 experiments performed on day 5, 2 experiments performed on day 6, and 2 experiments performed on day 7 were included. For analysis of mRNA expression in primary hippocampal neurons, 3 independent experiments, in which cells underwent isoflurane or control exposures at day 5, 6 or 7 were included.
Immediately after 4 h of isoflurane exposure, DNA and RNA were extracted from the respective cells.
Methylation analysis
DNA was extracted with the DNeasy Blood & Tissue Kits (Qiagen, Hilden, Germany) and DNA concentration was measured by a spectrometer (Eppendorf, Hamburg, Germany).
Methylation of genes was analyzed with EpiTect Methyl II PCR Array Systems (Qiagen, Hilden, Germany), which examines the methylation status across a CpG-rich sequence in gene promoters. The method is based on the detection of remaining input DNA after cleavage with a methylation-sensitive and/or a methylation-dependent restriction enzyme (EpiTect Methyl II DNA Restriction Kit, Qiagen, Hilden, Germany). These enzymes digest unmethylated and methylated DNA, respectively. Following digestion, the remaining DNA is quantified by real-time PCR (RT
2 SYBR® Green qPCR Mastermix, Qiagen, Hilden, Germany) in each individual enzyme reaction using primers that flank a promoter (gene) region of interest. We analyzed the DNA methylation status of 22 genes of the pathways focused EpiTect Methyl II PCR Array Systems (Qiagen, Hilden, Germany), i.e., apoptosis (EAMM-121Z, Table
1), cytokine production (EAMM-541Z, Table
2), and inflammatory response and autoimmunity (EAMM-521Z, Table
3). The relative fractions of methylated and unmethylated DNA are subsequently determined by comparing the amount in each digest with that of a mock (no enzymes added) digest using the ΔCt method as recommended by the manufactor (Qiagen, Hilden, Germany).
Apaf1 | apoptotic peptidase activating factor 1 | 11,783 | Caspase & Regulator |
Bad | BCL2-associated agonist of cell death | 12,015 | Induction of Apoptosis Positive Regulator of Apoptosis |
Bax | BCL2-associated X protein | 12,028 | Induction of Apoptosis Anti-Apoptosis Positive Regulator of Apoptosis Caspase & Regulator |
Bcl2l11 | BCL2-like 11 | 12,125 | Induction of Apoptosis Positive Regulator of Apoptosis |
Bclaf1 | BCL2-associated transcription factor 1 | 72,567 | Induction of Apoptosis Positive Regulator of Apoptosis |
Bid | BH3 interacting domain death agonist | 12,122 | Induction of Apoptosis Positive Regulator of Apoptosis |
Bik | BCL2-interacting killer | 12,124 | Induction of Apoptosis Positive Regulator of Apoptosis |
Birc2 | baculoviral IAP repeat-containing 2 | 11,797 | Negative Regulator of Apoptosis |
Bnip3l | BCL2/adenovirus E1B interacting protein 3-like | 12,177 | Induction of Apoptosis Anti-Apoptosis Negative Regulator of Apoptosis Positive Regulator of Apoptosis |
Casp3 | caspase 3 | 12,367 | Induction of Apoptosis Negative Regulator of Apoptosis Caspase & Regulator |
Casp9 | caspase 9 | 12,371 | Caspase & Regulator |
Cideb | cell death-inducing DNA fragmentation factor, alpha subunit-like effector B | 12,684 | Induction of Apoptosis Positive Regulator of Apoptosis |
Cradd | CASP2 and RIPK1 domain containing adaptor with death domain | 12,905 | Induction of Apoptosis Positive Regulator of Apoptosis Caspase & Regulator |
Dapk1 | death associated protein kinase 1 | 69,635 | Induction of Apoptosis Anti-Apoptosis Negative Regulator of Apoptosis |
Dffa | DNA fragmentation factor, alpha subunit | 13,347 | Induction of Apoptosis Negative Regulator of Apoptosis |
Fadd | Fas (TNFRSF6)-associated via death domain | 14,082 | Induction of Apoptosis Positive Regulator of Apoptosis |
Gadd45a | growth arrest and DNA-damage-inducible 45 alpha | 13,197 | Induction of Apoptosis |
Hrk | harakiri, BCL2 interacting protein | 12,123 | Induction of Apoptosis Anti-Apoptosis Positive Regulator of Apoptosis |
Ltbr | lymphotoxin B receptor | 17,000 | Induction of Apoptosis |
Tnfrsf21 | tumor necrosis factor receptor superfamily, member 21 | 94,185 | Induction of Apoptosis |
Tnfrsf25 (Dr3) | tumor necrosis factor receptor superfamily, member 25 | 85,030 | Induction of Apoptosis Positive Regulator of Apoptosis |
Trp53 | transformation related protein 53 | 22,059 | Induction of Apoptosis Negative Regulator of Apoptosis Positive Regulator of Apoptosis Caspase & Regulator |
Bcl10 | B cell leukemia/lymphoma 10 | 12,042 | T & B Cell Function Regulator Transcriptional Regulator Cytokine Production Signaling Molecule |
Bcl3 | B cell leukemia/lymphoma 3 | 12,051 | T & B Cell Function Regulator Transcriptional & Translational Regulator Cytokine Production Signaling Molecule |
Cd14 | CD14 antigen | 12,475 | Environment & Intracellular Stimuli Response |
Furin | furin | 18,550 | T Cell Function Regulator |
Gata3 | GATA binding protein 3 | 14,462 | Transcriptional Regulator Environment & Intracellular Stimuli Response |
Hmox1 | heme oxygenase 1 | 15,368 | T Cell Function Regulator Environment & Intracellular Stimuli Response Cytokine Production Signaling Molecule |
Igf2bp2 | insulin-like growth factor 2 mRNA binding protein 2 | 319,765 | Translational Regulator |
Il18 | interleukin 18 | 16,173 | T Cell Function Regulator |
Il9r | interleukin 9 receptor | 16,199 | Environment & Intracellular Stimuli Response |
Inha | inhibin alpha | 16,322 | B Cell Function Regulator |
Irf1 | interferon regulatory factor 1 | 16,362 | Transcriptional Regulator |
Ltb | lymphotoxin B | 16,994 | Environment & Intracellular Stimuli Response Cytokine Production Signaling Molecule |
Malt1 | MALT1 paracaspase | 24,354 | T Cell Function Regulator Environment & Intracellular Stimuli Response Cytokine Production Signaling Molecule |
Map 3 k7 | mitogen-activated protein kinase kinase kinase 7 | 26,409 | T Cell Function Regulator Cytokine Production Signaling Molecule |
Myd88 | myeloid differentiation primary response gene 88 | 17,874 | Environment & Intracellular Stimuli Response Cytokine Production Signaling Molecule |
Prkca | protein kinase C, alpha | 18,750 | Environment & Intracellular Stimuli Responses |
Smad3 | SMAD family member 3 | 17,127 | Transcriptional Regulator Environment & Intracellular Stimuli Response Cytokine Production Signaling Molecule |
Smad4 | SMAD family member 4 | 17,128 | Transcriptional Regulator |
Sod1 | superoxide dismutase 1, soluble | 20,655 | T Cell Function Regulator Environment & Intracellular Stimuli Response Cytokine Production Signaling Molecule |
Stat5a | signal transducer and activator of transcription 5A | 20,850 | T & B Cell Function Regulator Transcriptional Regulator Environment & Intracellular Stimuli Response Cytokine Production Signaling Molecule |
Traf2 | TNF receptor-associated factor 2 | 22,030 | T Cell Function Regulator Cytokine Production Signaling Molecule |
Traf6 | TNF receptor-associated factor 6 | 22,034 | T Cell Function Regulator Cytokine Production Signaling Molecule |
Table 3
Inflammatory Response & Autoimmunity Array
Aft2 | activating transcription factor 2 | 11,909 | Inflammatory Response & Autoimmunity Gene |
Cx3cl1 | chemokine (C-X3-C motif) ligand 1 | 20,312 | Cytokine Production Cytokine |
Cxcl12 | chemokine (C-X-C motif) ligand 12 | 20,315 | Cytokine |
Cxcl14 | chemokine (C-X-C motif) ligand 14 | 57,266 | Cytokine |
Fadd | Fas (TNFRSF6)-associated via death domain | 14,081 | Inflammatory Response & Autoimmunity Gene |
Gata3 | GATA binding protein 3 | 14,462 | Inflammatory Response & Autoimmunity Gene |
Il10ra | interleukin 10 receptor, alpha | 16,154 | Cytokine Receptor |
Il11 | interleukin 11 | 16,156 | Cytokine |
Il13 | interleukin 13 | 16,163 | Cytokine |
Il13ra1 | interleukin 13 receptor, alpha 1 | 16,164 | Cytokine Receptor |
Il17ra | interleukin 17 receptor A | 16,172 | Cytokine Receptor |
Il18 | interleukin 18 | 16,173 | Cytokine |
Il4ra | interleukin 4 receptor, alpha | 16,190 | Cytokine Receptor |
Il6ra | interleukin 6 receptor, alpha | 16,194 | Cytokine Production Cytokine Receptor |
Il6st | interleukin 6 signal transducer | 16,195 | Cytokine Receptor |
Il7 | interleukin 7 | 16,196 | Cytokine |
Inha | inhibin alpha | 16,322 | Inflammatory Response & Autoimmunity Gene |
Ltb | lymphotoxin B | 16,994 | Cytokine Production Cytokine |
Mif | macrophage migration inhibitory factor | 17,319 | Cytokine |
Tbck | TBC1 domain containing kinase | 271,981 | Inflammatory Response & Autoimmunity Gene |
Tgfb1 | transforming growth factor, beta 1 | 21,803 | Inflammatory Response & Autoimmunity Gene |
Tyk2 | tyrosine kinase 2 | 54,721 | Inflammatory Response & Autoimmunity Gene |
Quantitative real-time PCR
RNA was extracted with peqGOLD MircoSpin Total RNA Kits (Peqlab Biotechnology, Erlangen, Germany) at the indicated time point. RNA concentration was measured by a spectrometer (Eppendorf, Hamburg, Germany). First-strand cDNA was synthesized from 1 μg of total RNA with oligo-dT primers (Roche, Mannheim, Germany) by using Superscript II reverse transcriptase, as recommended by the supplier (Invitrogen, Carlsbad, CA). Relative quantification of mRNA expression was carried out by using primers for those genes whose methylation level showed a difference greater than 20% among in the primary hippocampal neurons with and without isoflurane exposure (
Cxcl12, Cxcl14, Gata3, Il11, Il13, and Il4ra,; for primer details see supplementary Table
1, for gene details see Table
3), taking several considerations of reference gene selection into account [
11]. Contamination with genomic DNA was circumvented by DNase treatment of RNA and by using RNA as template. The PCR reaction mix was prepared using the Quantitect SYBR Green Kit (Qiagen, Hilden, Germany) following the manufacturer’s instructions. PCR was performed in the Step One Plus (Applied Biosystems, Foster City, USA). Real-Time PCR experiments were performed three times.
Statistical analysis
Data are presented as means ± standard deviation (SD). Data were analyzed using Graph Pad Prism 6 (Graph Pad Software, La Jolla, CA). Methylation analysis was done according to the manufacturer’s instructions. A change in methylation of > 20% was considered as significant, according to the instructions of the manufacturer and comparable to other studies using the EpiTect Methyl II PCR Array System [
12,
13]. Here, DNA methylation was compared between apoptosis-related genes in pleomorphic adenomas of the salivary glands [
13], respectively in genes involved in inflammation and autoimmunity in inflammatory bowel disease [
12]. mRNA expression was done in genes with significant methylation changes, according to references [
12,
13], and analyzed with an unpaired t-test. This An a priori alpha error p of less than 0.05 was considered to indicate statistical significance.
Discussion
In our study, we demonstrate wide differences in the gene methylation status between the HT22 cell line and primary hippocampal neurons in the absence of isoflurane exposure, but greater methylation of several genes involved in inflammation upon isoflurane exposure and significant downregulation of Cxcl12 mRNA expression in primary hippocampal neurons. This could represent further epigenetic mechanisms of anesthesia related phenotype in the immature brain. Our results suggest that further studies investigating epigenetic effects of isoflurane or other volatile anesthetics should not be performed on HT22 cells but on primary hippocampal neurons, albeit technically more difficult.
A greater level of methylation was seen in the cell line HT22 than in primary hippocampal neurons. There are only few data on DNA methylation in immortalized cell lines compared to respective primary cells [
14‐
16]. In general, there are cell-type specific methylation signatures preserved in primary cell lines and tissues as well as methylation differences induced by cell culture [
16]. For example, the Forkhead box protein L2 promoter is hypermethylated in immortalized but not in primary cells [
14]. This argues against a use of HT22 cells to study epigenetic changes, e.g., induced by volatile anesthetics.
In the primary hippocampal neurons, no differences were seen in genes in pathways of cytokine production and apoptosis, but there was a greater methylation of several genes in inflammatory pathways.
Isoflurane anesthesia can evoke neuroinflammation [
7] and methylation of genes in the inflammatory pathway may be one molecular mechanism leading to neuroinflammation. Epigenetic mechanisms for isoflurane induced neuroinflammation have already been reported for the aged brain: isoflurane exposure led to declines in chromatin histone acetylation with resulting downregulation of the BDNF- tyrosine kinase receptor B signaling pathway and with increased levels of inflammatory Interleukin 1 beta and Interleukin 6 in aged rats [
17]. Our study, therefore, may first indicate that epigenetic modulation of inflammatory genes may also play a role in the volatile anesthetic induced neuroinflammation in the immature brain and this should be investigated in further studies.
Special regard may be given to the C-X-C motif chemokine 12 (CXCL12), whose mRNA was significantly downregulated, while no differences were found for the genes Cxcl14 and Gata3 and no Real-Time PCR product could be obtained for genes Il11, Il13, and Il14ra. It might be speculated that expression of these genes is too low to become detective.
CXCL12 is a 68-amino-acid CXC chemokine with an essential role in several important processes such as vascular and neuronal development and hematopoiesis [
18]. The CXCL12 response takes place at a very early stage of embryonic development and seems to be broadly operative whenever cell migration is required [
19]. Mice lacking CXCL12 die prenatally and exhibit defects in vascularization, neuronal development, and hematopoiesis [
20]. CXCL12 could be a key chemokine regulating the entrance of lymphocytes into the CNS [
21] and immune factors, such as TNFα and interleukins might influence CXCL12 expression [
22‐
25]. In further studies, a promoter characterization of the genes of interest, such as the
Cxcl12 promoter, with special regard to the CpG islands, would be of great importance. The EpiTect Methyl II PCR Array System examines the methylation status across a CpG-rich sequence in gene promoter, however, the exact length of the amplified CpG island/promoter and the physical location of the annealing sites of the PCR primers are not disclosed.
Limitations of the study should be mentioned. One important item is the relevant dose and duration of isoflurane administration necessary to evoke DNA methylation changes, if any, and previous data are missing. Previous animal studies are difficult to interpret since long durations and supraanesthetic doses of isoflurane were administered to young animals [
26]. While such intense exposures are maybe needed to investigate possible neuropathological and other pathological changes, these conditions hardly relate to human clinical practice. We chose an isoflurane concentration of 3 vol% inspired but a MAC value cannot be obtained for cell lines. Since the primary hippocampal neurons were exposed to isoflurane on culture days 5, 6, and 7 (mouse hippocampal neurons were isolated from E16–17 mice), therefore, one might speculate that the 3% isoflurane corresponds to 1 MAC [
27], which is a usual clinical dose.
To this end, it also needs to be questioned whether the observed effect of isoflurane is transferable to other volatile anesthetics such as sevoflurane. In a landmark paper, neuroapoptotic properties of equipotent anesthetic concentrations of desflurane, isoflurane, or sevoflurane were compared in neonatal mice and similar neurotoxic profiles were found [
27]. However, whether this finding holds true only for only this condition or has to be tested as research hypothesis needs to be clarified.
Furthermore, it needs to be questioned, whether exposure of the primary hippocampal neurons on days 5, 6, and 7 was plausible. We believe that this time frame represents a vulnerable phase of brain development. Exposure on three following days was done due to practical and cost reasons, however, analysis of neurons on always the same day may result in different conclusions. Exposure of neurons on three following days may although partly explain the variation of methylation in the experiments, which was only seen in the primary hippocampal neurons. It is important to note, that RNA for mRNA expression analysis was obtained from three independent experiments, indicating that our experimental setup was reliable.
For interpreting the results of the EpiTect Methyl II PCR Array System, we considered a methylation change of > 20% as significant. According to the manufacturer, the significance of the level of methylated DNA must be defined by the researcher. Methylated DNA may have biological significance if such methylation status is associated with a specific phenotype and measuring the corresponding gene expression between samples is recommended. While we did not investigate phenotype changes, we observed significant differences in mRNA expression.
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