Skip to main content
Erschienen in: BMC Anesthesiology 1/2020

Open Access 01.12.2020 | Research article

Methylation in HT22 cells and primary hippocampal neurons with and without isoflurane exposure

verfasst von: Stefanie Klenke, Christian Specking, Maike Stegen, Andrea Engler, Jürgen Peters

Erschienen in: BMC Anesthesiology | Ausgabe 1/2020

Abstract

Background

Epigenetic modulation may play a role in anesthesia related phenotypes, such as cognitive impairment or memory loss, especially with exposure to anesthetics in the vulnerable phase of brain development. While isoflurane anesthesia can evoke neuroinflammation and neuroapoptosis in young animals, we investigated in a permanent hippocampal cell line (HT22) and in primary hippocampal neurons in an a priori in vitro analysis, whether isoflurane exposure 1) evokes DNA methylation changes in genes involved in apoptosis and inflammation, and 2) results observed in a permanent hippocampal cell line are comparable to primary hippocampal neurons. In case of methylation changes in specific genes, (3) mRNA analysis was performed to assess possible effects on gene expression.

Methods

HT22 cells and primary mouse hippocampal neurons were exposed to 3% isoflurane for 4 h and DNA (each 6 single experiments) and RNA (3 single independent experiments) were extracted. Methylation analysis (EpiTect Methyl II PCR Array Systems, Qiagen) included the methylation status of 66 genes involved in apoptosis, cytokine production, inflammatory response, and autoimmunity. Quantitative Real-Time PCR was performed using the Quantitect SYBR Green Kit on a Step One Plus.

Results

Methylation status was markedly different between immortalized HT22 cells and cultured primary hippocampal neurons without isoflurane exposure. Of 66 genes investigated, 29 were methylated to a significantly greater degree in HT22 cells compared to primary hippocampal neurons. In cultured primary hippocampal neurons, in contrast, there was a greater methylation in several genes involved in inflammation, accompanied with significant downregulation of C-X-C motif chemokine 12 with isoflurane exposure (p = 0.023).

Conclusions

We demonstrate marked differences in gene methylation between HT22 cells and cultured primary hippocampal neurons without isoflurane exposure, with a greater methylation of several genes involved in inflammation upon isoflurane exposure and significant downregulation of Cxcl12 mRNA expression in primary hippocampal neurons. Accordingly, further investigations of anesthesia related DNA methylation should be performed with special consideration being given to the choice of cells targeted for such investigations.
Hinweise
The original version of this article was revised: There was an error in the article title. The article title should read “Methylation in HT22 cells and primary hippocampal neurons with and without isoflurane exposure”.
A correction to this article is available online at https://​doi.​org/​10.​1186/​s12871-020-00989-w.

Supplementary information

Supplementary information accompanies this paper at https://​doi.​org/​10.​1186/​s12871-020-00981-4.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
BDNF
Brain-derived neurotrophic factor
DNA
Deoxyribonucleic acid
GABA
Gamma-aminobutyric acid
MAC
Minimum alveolar concentration
mRNA
Messenger RNA
NMDA
N-methyl-D-aspartate
RNA
Ribonucleic acid

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 [810] 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 (RT2 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).
Table 1
Apoptosis Array
Gene
Description
Gene ID
Function
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
Table 2
Cytokine Array
Gene
Description
Gene ID
Function
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
Gene
Description
Gene ID
Function
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.

Results

Methylation of HT22 cells and primary hippocampal cells without isoflurane exposure

In a first step, we measured methylation of genes in HT22 and in primary hippocampal neurons in control experiments without exposure to isoflurane (Fig. 1a-c). Interestingly, the methylation status between the immortalized cell line HT22 and the primary hippocampal neuron cultures was markedly different. In general, methylation of genes in HT22 cells was greater than in the primary cells. Eight of 22 genes of the apoptosis array (Bid, Bik, Cideb, Dapk1, Hrk, Ltbr, Tnfrsf21, and Tnfrsf25) were significantly greater (> 20%) methylated in HT22 cells compared to primary hippocampal neurons (Fig. 1a). For example, methylation of Bik was 99.4% in HT22 cells, whereas it was 0.2% in primary hippocampal neurons (Fig. 1A). In the cytokine array, genes Bcl10, Bcl3, Cd114, Furin, Gata3, Irf1, Ltb, Myd88, and Stat5a showed > 20% methylation changes in the HT22 cells compared to the primary hippocampal neurons (e.g. Ltb: 99.6% vs. 0.4%) (Fig. 1b). Most differences were found in genes of the inflammatory array. Here, 12 of 22 genes (Cx3cl1, Cxcl12, Cxcl14, Gata3, Il10ra, Il11, Il13, Il13ra1, Il17ra, Il7, Ltb, and Tgfb1) were significantly greater (> 20%) methylated in HT22 cells compared to primary hippocampal neurons (Fig. 1c). Methylation of Cxcl12 was 99.7% in HT22 cells, whereas it was 0.6% in primary hippocampal neurons (Fig. 1c). Only one gene (Il18) was nearly completely methylated in the primary neurons (> 99.8%).

Influence on isoflurane exposure on methylation in primary hippocampal cells

We measured whether isoflurane exposure alters methylation of genes in primary hippocampal neurons (Fig. 2). However, no changes were seen for genes of the apoptosis array (Fig. 2a) and the cytokine array (Fig. 2b). There was a greater than 20% methylation change for several genes in the inflammatory array after isoflurane exposure: Cxcl12, Cxcl14, Gata3, Il11, Il13, and Il4ra (Fig. 2c). Methylation of Cxcl12 was 0.6% without, but 27.5% with isoflurane exposure. For all genes, variation between the single experiments was seen (Fig. 2c). In HT22 cells, neither methylation of the genes in the apoptosis array (A), nor those in the cytokine (B) or in the inflammatory arrays (C) was altered by isoflurane (Supplementary Fig. 1).

mRNA expression analysis of inflammatory genes in primary cells

To elucidate whether greater methylation of several genes in the inflammatory array with isoflurane exposure altered mRNA expression of these genes, RT primer were designed for genes, in which methylation was > 20% different after isoflurane exposure (Cxcl12, Cxcl14, Gata3, Il11, Il13, and Il4ra, for primer sequences see supplementary Table 1). mRNA expression was then measured in cDNA samples of cells exposed to isoflurane and in cells under control conditions. Expression of Cxcl12 was significantly lower under isoflurane exposure (p = 0.023, Fig. 2d), whereas no differences were found for the genes Cxcl14, and Gata3 (data not shown). No RT product could be obtained for genes Il11, Il13, and Il14ra.

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 [1416]. 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 [2225]. 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.

Conclusions

In conclusion, we demonstrate wide differences in methylation status between HT22 cells and primary cultured hippocampal neurons, with increased methylation in HT22 cells, suggesting that further epigenetic investigations on effects of isoflurane should not be performed in HT22 cells. Furthermore, upon isoflurane exposure in hippocampal neurons we found a greater DNA methylation from several genes involved in inflammation with significant downregulation of Cxcl12 mRNA expression. Based on this a priori analysis, further investigations addressing possible DNA methylation changes in inflammatory genes due to exposure to anesthetics should be performed.
Full name of all genes is given in Tables 1, 2, and 3.

Supplementary information

Supplementary information accompanies this paper at https://​doi.​org/​10.​1186/​s12871-020-00981-4.

Acknowledgements

Not applicable.
This study was not submitted to animal institutional ethics committee. Experiments were performed with a permanent cell line (HT22), which was a generous gift from the Salk Institute (La Jolla, CA, USA). The mouse primary hippocampal neurons were commercially obtained from Lonza (Basel, Switzerland) and not produced independently in our laboratory.
Not applicable.

Competing interests

The authors declare that they have no competing interests.
Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Anhänge
Literatur
1.
Zurück zum Zitat Pascual M, Do Couto BR, Alfonso-Loeches S, Aguilar MA, Rodriguez-Arias M, Guerri C. Changes in histone acetylation in the prefrontal cortex of ethanol-exposed adolescent rats are associated with ethanol-induced place conditioning. Neuropharmacology. 2012;62(7):2309–19.CrossRef Pascual M, Do Couto BR, Alfonso-Loeches S, Aguilar MA, Rodriguez-Arias M, Guerri C. Changes in histone acetylation in the prefrontal cortex of ethanol-exposed adolescent rats are associated with ethanol-induced place conditioning. Neuropharmacology. 2012;62(7):2309–19.CrossRef
2.
Zurück zum Zitat Guo W, Crossey EL, Zhang L, Zucca S, George OL, Valenzuela CF, Zhao X. Alcohol exposure decreases CREB binding protein expression and histone acetylation in the developing cerebellum. PLoS One. 2011;6(5):e19351.CrossRef Guo W, Crossey EL, Zhang L, Zucca S, George OL, Valenzuela CF, Zhao X. Alcohol exposure decreases CREB binding protein expression and histone acetylation in the developing cerebellum. PLoS One. 2011;6(5):e19351.CrossRef
3.
Zurück zum Zitat Murawski NJ, Klintsova AY, Stanton ME. Neonatal alcohol exposure and the hippocampus in developing male rats: effects on behaviorally induced CA1 c-Fos expression, CA1 pyramidal cell number, and contextual fear conditioning. Neuroscience. 2012;206:89–99.CrossRef Murawski NJ, Klintsova AY, Stanton ME. Neonatal alcohol exposure and the hippocampus in developing male rats: effects on behaviorally induced CA1 c-Fos expression, CA1 pyramidal cell number, and contextual fear conditioning. Neuroscience. 2012;206:89–99.CrossRef
4.
Zurück zum Zitat Mori K, Iijima N, Higo S, Aikawa S, Matsuo I, Takumi K, Sakamoto A, Ozawa H. Epigenetic suppression of mouse Per2 expression in the suprachiasmatic nucleus by the inhalational anesthetic, sevoflurane. PLoS One. 2014;9(1):e87319.CrossRef Mori K, Iijima N, Higo S, Aikawa S, Matsuo I, Takumi K, Sakamoto A, Ozawa H. Epigenetic suppression of mouse Per2 expression in the suprachiasmatic nucleus by the inhalational anesthetic, sevoflurane. PLoS One. 2014;9(1):e87319.CrossRef
5.
Zurück zum Zitat Dalla Massara L, Osuru HP, Oklopcic A, Milanovic D, Joksimovic SM, Caputo V, DiGruccio MR, Ori C, Wang G, Todorovic SM, et al. General anesthesia causes epigenetic histone modulation of c-Fos and brain-derived Neurotrophic factor, target genes important for neuronal development in the immature rat Hippocampus. Anesthesiology. 2016;124(6):1311–27.CrossRef Dalla Massara L, Osuru HP, Oklopcic A, Milanovic D, Joksimovic SM, Caputo V, DiGruccio MR, Ori C, Wang G, Todorovic SM, et al. General anesthesia causes epigenetic histone modulation of c-Fos and brain-derived Neurotrophic factor, target genes important for neuronal development in the immature rat Hippocampus. Anesthesiology. 2016;124(6):1311–27.CrossRef
6.
Zurück zum Zitat Ju LS, Jia M, Sun J, Sun XR, Zhang H, Ji MH, Yang JJ, Wang ZY. Hypermethylation of hippocampal synaptic plasticity-related genes is involved in neonatal Sevoflurane exposure-induced cognitive impairments in rats. Neurotox Res. 2016;29(2):243–55.CrossRef Ju LS, Jia M, Sun J, Sun XR, Zhang H, Ji MH, Yang JJ, Wang ZY. Hypermethylation of hippocampal synaptic plasticity-related genes is involved in neonatal Sevoflurane exposure-induced cognitive impairments in rats. Neurotox Res. 2016;29(2):243–55.CrossRef
7.
Zurück zum Zitat Shen X, Dong Y, Xu Z, Wang H, Miao C, Soriano SG, Sun D, Baxter MG, Zhang Y, Xie Z. Selective anesthesia-induced neuroinflammation in developing mouse brain and cognitive impairment. Anesthesiology. 2013;118(3):502–15.CrossRef Shen X, Dong Y, Xu Z, Wang H, Miao C, Soriano SG, Sun D, Baxter MG, Zhang Y, Xie Z. Selective anesthesia-induced neuroinflammation in developing mouse brain and cognitive impairment. Anesthesiology. 2013;118(3):502–15.CrossRef
8.
Zurück zum Zitat Lee BH, Chan JT, Hazarika O, Vutskits L, Sall JW. Early exposure to volatile anesthetics impairs long-term associative learning and recognition memory. PLoS One. 2014;9(8):e105340.CrossRef Lee BH, Chan JT, Hazarika O, Vutskits L, Sall JW. Early exposure to volatile anesthetics impairs long-term associative learning and recognition memory. PLoS One. 2014;9(8):e105340.CrossRef
9.
Zurück zum Zitat Jevtovic-Todorovic V, Hartman RE, Izumi Y, Benshoff ND, Dikranian K, Zorumski CF, Olney JW, Wozniak DF. Early exposure to common anesthetic agents causes widespread neurodegeneration in the developing rat brain and persistent learning deficits. J Neurosci. 2003;23(3):876–82.CrossRef Jevtovic-Todorovic V, Hartman RE, Izumi Y, Benshoff ND, Dikranian K, Zorumski CF, Olney JW, Wozniak DF. Early exposure to common anesthetic agents causes widespread neurodegeneration in the developing rat brain and persistent learning deficits. J Neurosci. 2003;23(3):876–82.CrossRef
10.
Zurück zum Zitat Fredriksson A, Ponten E, Gordh T, Eriksson P. Neonatal exposure to a combination of N-methyl-D-aspartate and gamma-aminobutyric acid type a receptor anesthetic agents potentiates apoptotic neurodegeneration and persistent behavioral deficits. Anesthesiology. 2007;107(3):427–36.CrossRef Fredriksson A, Ponten E, Gordh T, Eriksson P. Neonatal exposure to a combination of N-methyl-D-aspartate and gamma-aminobutyric acid type a receptor anesthetic agents potentiates apoptotic neurodegeneration and persistent behavioral deficits. Anesthesiology. 2007;107(3):427–36.CrossRef
11.
Zurück zum Zitat Klenke S, Renckhoff K, Engler A, Peters J, Frey UH. Easy-to-use strategy for reference gene selection in quantitative real-time PCR experiments. Naunyn Schmiedeberg’s Arch Pharmacol. 2016;389(12):1353–66.CrossRef Klenke S, Renckhoff K, Engler A, Peters J, Frey UH. Easy-to-use strategy for reference gene selection in quantitative real-time PCR experiments. Naunyn Schmiedeberg’s Arch Pharmacol. 2016;389(12):1353–66.CrossRef
12.
Zurück zum Zitat Karatzas PS, Mantzaris GJ, Safioleas M, Gazouli M. DNA methylation profile of genes involved in inflammation and autoimmunity in inflammatory bowel disease. Medicine (Baltimore). 2014;93(28):e309.CrossRef Karatzas PS, Mantzaris GJ, Safioleas M, Gazouli M. DNA methylation profile of genes involved in inflammation and autoimmunity in inflammatory bowel disease. Medicine (Baltimore). 2014;93(28):e309.CrossRef
13.
Zurück zum Zitat Pereira NB, ACM DC, Campos K, Costa S, Diniz MG, Gomez RS, Gomes CC. DNA methylation polymerase chain reaction (PCR) array of apoptosis-related genes in pleomorphic adenomas of the salivary glands. Oral Surg Oral Med Oral Pathol Oral Radiol. 2017;124(6):554–60.CrossRef Pereira NB, ACM DC, Campos K, Costa S, Diniz MG, Gomez RS, Gomes CC. DNA methylation polymerase chain reaction (PCR) array of apoptosis-related genes in pleomorphic adenomas of the salivary glands. Oral Surg Oral Med Oral Pathol Oral Radiol. 2017;124(6):554–60.CrossRef
14.
Zurück zum Zitat Tran S, Wang Y, Lamba P, Zhou X, Boehm U, Bernard DJ. The CpG island in the murine foxl2 proximal promoter is differentially methylated in primary and immortalized cells. PLoS One. 2013;8(10):e76642.CrossRef Tran S, Wang Y, Lamba P, Zhou X, Boehm U, Bernard DJ. The CpG island in the murine foxl2 proximal promoter is differentially methylated in primary and immortalized cells. PLoS One. 2013;8(10):e76642.CrossRef
15.
Zurück zum Zitat Smiraglia DJ, Rush LJ, Fruhwald MC, Dai Z, Held WA, Costello JF, Lang JC, Eng C, Li B, Wright FA, et al. Excessive CpG island hypermethylation in cancer cell lines versus primary human malignancies. Hum Mol Genet. 2001;10(13):1413–9.CrossRef Smiraglia DJ, Rush LJ, Fruhwald MC, Dai Z, Held WA, Costello JF, Lang JC, Eng C, Li B, Wright FA, et al. Excessive CpG island hypermethylation in cancer cell lines versus primary human malignancies. Hum Mol Genet. 2001;10(13):1413–9.CrossRef
16.
Zurück zum Zitat Varley KE, Gertz J, Bowling KM, Parker SL, Reddy TE, Pauli-Behn F, Cross MK, Williams BA, Stamatoyannopoulos JA, Crawford GE, et al. Dynamic DNA methylation across diverse human cell lines and tissues. Genome Res. 2013;23(3):555–67.CrossRef Varley KE, Gertz J, Bowling KM, Parker SL, Reddy TE, Pauli-Behn F, Cross MK, Williams BA, Stamatoyannopoulos JA, Crawford GE, et al. Dynamic DNA methylation across diverse human cell lines and tissues. Genome Res. 2013;23(3):555–67.CrossRef
17.
Zurück zum Zitat Ji M, Dong L, Jia M, Liu W, Zhang M, Ju L, Yang J, Xie Z, Yang J. Epigenetic enhancement of brain-derived neurotrophic factor signaling pathway improves cognitive impairments induced by isoflurane exposure in aged rats. Mol Neurobiol. 2014;50(3):937–44.CrossRef Ji M, Dong L, Jia M, Liu W, Zhang M, Ju L, Yang J, Xie Z, Yang J. Epigenetic enhancement of brain-derived neurotrophic factor signaling pathway improves cognitive impairments induced by isoflurane exposure in aged rats. Mol Neurobiol. 2014;50(3):937–44.CrossRef
18.
Zurück zum Zitat Momcilovic M, Mostarica-Stojkovic M, Miljkovic D. CXCL12 in control of neuroinflammation. Immunol Res. 2012;52(1–2):53–63.CrossRef Momcilovic M, Mostarica-Stojkovic M, Miljkovic D. CXCL12 in control of neuroinflammation. Immunol Res. 2012;52(1–2):53–63.CrossRef
19.
Zurück zum Zitat Nagasawa T, Nakajima T, Tachibana K, Iizasa H, Bleul CC, Yoshie O, Matsushima K, Yoshida N, Springer TA, Kishimoto T. Molecular cloning and characterization of a murine pre-B-cell growth-stimulating factor/stromal cell-derived factor 1 receptor, a murine homolog of the human immunodeficiency virus 1 entry coreceptor fusin. Proc Natl Acad Sci U S A. 1996;93(25):14726–9.CrossRef Nagasawa T, Nakajima T, Tachibana K, Iizasa H, Bleul CC, Yoshie O, Matsushima K, Yoshida N, Springer TA, Kishimoto T. Molecular cloning and characterization of a murine pre-B-cell growth-stimulating factor/stromal cell-derived factor 1 receptor, a murine homolog of the human immunodeficiency virus 1 entry coreceptor fusin. Proc Natl Acad Sci U S A. 1996;93(25):14726–9.CrossRef
20.
Zurück zum Zitat Zou YR, Kottmann AH, Kuroda M, Taniuchi I, Littman DR. Function of the chemokine receptor CXCR4 in haematopoiesis and in cerebellar development. Nature. 1998;393(6685):595–9.CrossRef Zou YR, Kottmann AH, Kuroda M, Taniuchi I, Littman DR. Function of the chemokine receptor CXCR4 in haematopoiesis and in cerebellar development. Nature. 1998;393(6685):595–9.CrossRef
21.
Zurück zum Zitat Prendergast CT, Anderton SM. Immune cell entry to central nervous system--current understanding and prospective therapeutic targets. Endocr Metab Immune Disord Drug Targets. 2009;9(4):315–27.CrossRef Prendergast CT, Anderton SM. Immune cell entry to central nervous system--current understanding and prospective therapeutic targets. Endocr Metab Immune Disord Drug Targets. 2009;9(4):315–27.CrossRef
22.
Zurück zum Zitat Chung IY, Norris JG, Benveniste EN. Differential tumor necrosis factor alpha expression by astrocytes from experimental allergic encephalomyelitis-susceptible and -resistant rat strains. J Exp Med. 1991;173(4):801–11.CrossRef Chung IY, Norris JG, Benveniste EN. Differential tumor necrosis factor alpha expression by astrocytes from experimental allergic encephalomyelitis-susceptible and -resistant rat strains. J Exp Med. 1991;173(4):801–11.CrossRef
23.
Zurück zum Zitat Constantinescu CS, Hilliard B, Ventura E, Wysocka M, Showe L, Lavi E, Fujioka T, Scott P, Trinchieri G, Rostami A. Modulation of susceptibility and resistance to an autoimmune model of multiple sclerosis in prototypically susceptible and resistant strains by neutralization of interleukin-12 and interleukin-4, respectively. Clin Immunol. 2001;98(1):23–30.CrossRef Constantinescu CS, Hilliard B, Ventura E, Wysocka M, Showe L, Lavi E, Fujioka T, Scott P, Trinchieri G, Rostami A. Modulation of susceptibility and resistance to an autoimmune model of multiple sclerosis in prototypically susceptible and resistant strains by neutralization of interleukin-12 and interleukin-4, respectively. Clin Immunol. 2001;98(1):23–30.CrossRef
24.
Zurück zum Zitat Cautain B, Damoiseaux J, Bernard I, van Straaten H, van Breda VP, Boneu B, Druet P, Saoudi A. Essential role of TGF-beta in the natural resistance to experimental allergic encephalomyelitis in rats. Eur J Immunol. 2001;31(4):1132–40.CrossRef Cautain B, Damoiseaux J, Bernard I, van Straaten H, van Breda VP, Boneu B, Druet P, Saoudi A. Essential role of TGF-beta in the natural resistance to experimental allergic encephalomyelitis in rats. Eur J Immunol. 2001;31(4):1132–40.CrossRef
25.
Zurück zum Zitat Segal BM, Dwyer BK, Shevach EM. An interleukin (IL)-10/IL-12 immunoregulatory circuit controls susceptibility to autoimmune disease. J Exp Med. 1998;187(4):537–46.CrossRef Segal BM, Dwyer BK, Shevach EM. An interleukin (IL)-10/IL-12 immunoregulatory circuit controls susceptibility to autoimmune disease. J Exp Med. 1998;187(4):537–46.CrossRef
26.
Zurück zum Zitat Hansen TG, Lonnqvist PA. The rise and fall of anaesthesia-related neurotoxicity and the immature developing human brain. Acta Anaesthesiol Scand. 2016;60(3):280–3.CrossRef Hansen TG, Lonnqvist PA. The rise and fall of anaesthesia-related neurotoxicity and the immature developing human brain. Acta Anaesthesiol Scand. 2016;60(3):280–3.CrossRef
27.
Zurück zum Zitat Istaphanous GK, Howard J, Nan X, Hughes EA, McCann JC, McAuliffe JJ, Danzer SC, Loepke AW. Comparison of the neuroapoptotic properties of equipotent anesthetic concentrations of desflurane, isoflurane, or sevoflurane in neonatal mice. Anesthesiology. 2011;114(3):578–87.CrossRef Istaphanous GK, Howard J, Nan X, Hughes EA, McCann JC, McAuliffe JJ, Danzer SC, Loepke AW. Comparison of the neuroapoptotic properties of equipotent anesthetic concentrations of desflurane, isoflurane, or sevoflurane in neonatal mice. Anesthesiology. 2011;114(3):578–87.CrossRef
Metadaten
Titel
Methylation in HT22 cells and primary hippocampal neurons with and without isoflurane exposure
verfasst von
Stefanie Klenke
Christian Specking
Maike Stegen
Andrea Engler
Jürgen Peters
Publikationsdatum
01.12.2020
Verlag
BioMed Central
Erschienen in
BMC Anesthesiology / Ausgabe 1/2020
Elektronische ISSN: 1471-2253
DOI
https://doi.org/10.1186/s12871-020-00981-4

Weitere Artikel der Ausgabe 1/2020

BMC Anesthesiology 1/2020 Zur Ausgabe

Eingreifen von Umstehenden rettet vor Erstickungstod!

15.05.2024 Fremdkörperaspiration Nachrichten

Wer sich an einem Essensrest verschluckt und um Luft ringt, benötigt vor allem rasche Hilfe. Dass Umstehende nur in jedem zweiten Erstickungsnotfall bereit waren, diese zu leisten, ist das ernüchternde Ergebnis einer Beobachtungsstudie aus Japan. Doch es gibt auch eine gute Nachricht.

Darf man die Behandlung eines Neonazis ablehnen?

08.05.2024 Gesellschaft Nachrichten

In einer Leseranfrage in der Zeitschrift Journal of the American Academy of Dermatology möchte ein anonymer Dermatologe bzw. eine anonyme Dermatologin wissen, ob er oder sie einen Patienten behandeln muss, der eine rassistische Tätowierung trägt.

Ein Drittel der jungen Ärztinnen und Ärzte erwägt abzuwandern

07.05.2024 Klinik aktuell Nachrichten

Extreme Arbeitsverdichtung und kaum Supervision: Dr. Andrea Martini, Sprecherin des Bündnisses Junge Ärztinnen und Ärzte (BJÄ) über den Frust des ärztlichen Nachwuchses und die Vorteile des Rucksack-Modells.

Häufigste Gründe für Brustschmerzen bei Kindern

06.05.2024 Pädiatrische Diagnostik Nachrichten

Akute Brustschmerzen sind ein Alarmsymptom par exellence, schließlich sind manche Auslöser lebensbedrohlich. Auch Kinder klagen oft über Schmerzen in der Brust. Ein Studienteam ist den Ursachen nachgegangen.

Update AINS

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.