Skip to main content
Frontiers in Neurology logoLink to Frontiers in Neurology
. 2022 Dec 13;13:1056947. doi: 10.3389/fneur.2022.1056947

Tandem mass tag-based quantitative proteomic analysis of effects of multiple sevoflurane exposures on the cerebral cortex of neonatal and adult mice

Jingyu Feng 1,2,, Hua Lin 1,2,, Yue Zhao 1,2,, Yongyan Yang 1,2, Xiaoli Zhuang 1,2, Yang Yu 1,2,*, Yonghao Yu 1,2,*
PMCID: PMC9792844  PMID: 36582614

Abstract

Introduction

Sevoflurane is the most commonly used general anesthetic in pediatric surgery, but it has the potential to be neurotoxic. Previous research found that long-term or multiple sevoflurane exposures could cause cognitive deficits in newborn mice but not adult mice, whereas short-term or single inhalations had little effect on cognitive function at both ages. The mechanisms behind these effects, however, are unclear.

Methods

In the current study, 6- and 60-day-old C57bl mice in the sevoflurane groups were given 3% sevoflurane plus 60% oxygen for three consecutive days, each lasting 2 hours, while those in the control group only got 60% oxygen. The cortex tissues were harvested on the 8th or 62nd day. The tandem mass tags (TMT)pro-based quantitative proteomics combined with liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis, Golgi staining, and western blotting analysis were applied to analyze the influences of multiple sevoflurane anesthesia on the cerebral cortex in mice with various ages. The Morris water maze (MWM) test was performed from postnatal day (P)30 to P36 or P84 to P90 after control or multiple sevoflurane treatment. Sevoflurane anesthesia affected spatial learning and memory and diminished dendritic spines primarily in newborn mice, whereas mature animals exhibited no significant alterations.

Results

A total of 6247 proteins were measured using the combined quantitative proteomics methods of TMTpro-labeled and LC-MS/MS, 443 of which were associated to the age-dependent neurotoxic mechanism of repeated sevoflurane anesthesia. Furthermore, western blotting research revealed that sevoflurane-induced brain damage in newborn mice may be mediated by increasing the levels of protein expression of CHGB, PTEN, MAP2c, or decreasing the level of SOD2 protein expression.

Conclusion

Our findings would help to further the mechanistic study of age-dependent anesthetic neurotoxicity and contribute to seek for effective protection in the developing brain under general anesthesia.

Keywords: sevoflurane, developing brain, neurotoxicity, TMT-based quantitative proteomic analysis, anesthetic toxicity

1. Introduction

With rapid advances in anesthetic technology, millions of newborns and children worldwide undergo surgical interventions using general anesthesia, rendering child safety a major public health concern (1). Sevoflurane is the most commonly employed inhalational anesthetic in pediatric surgery (2). It has been reported that repeated or long-term sevoflurane exposure prior to 3–4 years of age can increase the potential for future learning and memory challenges (35), although available data remain debatable (6). Furthermore, our previous studies have demonstrated that multiple exposures to inhalational anesthetics, such as sevoflurane, can cause adverse effects, including neuroinflammation, apoptosis, synaptic insufficiency, and cognitive deficits in 6-day-old newborn mice, while 60-day-old adult mice showed no notable damage (711). The mechanisms underlying these age-dependent effects remain elusive.

Quantitative proteomics is a precise method for identifying differentially expressed proteins (DEPs) in biological processes or diseases and predicting therapeutic drug targets and underlying mechanisms (12). The continual development and application of molecular-based technologies have allowed researchers to explore the features of complex regulatory systems (13). Tandem mass tag (TMT)pro-based quantitative proteomics, a quantitative proteomics method, allows a large number of samples to be identified concurrently, thereby reducing batch effects (14). To further investigate the mechanism of age-dependent anesthetic neurotoxicity induced by sevoflurane, we used a combination of TMTpro-labeled quantitative proteomics and liquid chromatography-tandem mass spectrometry (LC-MS/MS) to identify DEPs after multiple inhalations of 3% sevoflurane plus 60% oxygen or 60% oxygen alone in neonatal and adult mice.

2. Materials and methods

2.1. Animals and experimental design

Pregnant mice (gestation days 16–17) and 60-day-old female C57BL/6J mice were purchased from Sibeifu Bioscience Company (license number, SCXK 2019-0010; Beijing, China). The mice were housed under 12 h of natural light and 12 h of darkness at a constant temperature (23 ± 1°C), with unrestricted access to food and water. Female and male newborn mouse pups delivered by pregnant mice were selected for experiments, including proteome analysis and western blotting, whereas only neonatal female mice were selected to undergo behavioral testing and Golgi staining. Mice were randomly allocated to postnatal day (P) 6 + Control, P6 + Sevoflurane, P60 + Control, and P60 + Sevoflurane groups. Twenty mice (n = 5 mice/group) were used for cerebral cortex proteomic analysis, 40 were subjected to the Morris water maze (MWM) test (n = 10 mice/group), 12 underwent Golgi staining (n = 3 mice/group), and 20 were used for western blotting analysis (n = 5 mice/group; Figure 1). All experiments were approved by the Animal Experimental Ethics Committee of Tianjin Medical University General Hospital in Tianjin, China (Approval No. IRB2021-DWFL-210). Every effort was made to reduce the suffering of mice and the number of animals used.

Figure 1.

Figure 1

Experimental design. Mice were randomly assigned to four groups: P6 + Control, P6 + Sevoflurane, P60 + Control, and P60 + Sevoflurane. P6 (female plus male) and P60 (female) mice were subjected to 60% O2 + 3% sevoflurane or 60% O2 inhalation for 2 h over 3 consecutive days. Two hours after the last treatment, the cerebral cortex was harvested for TMT-based quantitative proteome analysis and western blotting. After 22 days of treatment, female mice were selected for the Morris water maze (MWM) test and Golgi staining. P6, postnatal day 6; P60, postnatal day 60; TMT, Tandem mass tag.

2.2. Multiple sevoflurane exposures and treatment

As described in our previous study (8), mice in the sevoflurane group were anesthetized using 3% sevoflurane and 60% oxygen at a flow rate of 2 L/min for 2 h per day for three consecutive days; the control group inhalationally administered 60% O2. Mice were exposed to sevoflurane in a transparent chamber (25 × 15 × 10 cm) connected with a sevoflurane-specific vaporizer. During treatment, the sevoflurane concentration was monitored using a gas monitor (Vamos/Vamos Plus; Draeger, Germany). The rectal temperature of mice was maintained at 37 ± 0.5°C using a heating blanket.

2.3. MWM

MWM trials were performed as described in our previous study (9). A circular pool (120 cm diameter × 60 cm height) was filled with opaque water using ~0.5 g/L titanium dioxide powder. The hidden white platform (diameter, 10 cm) was positioned in the center of the first quadrant, submerged 1.0 cm below the water surface. The water temperature in the pool was maintained at 23 ± 1°C. We tested P30 and P84 mice for 7 days (P30–P36; P84–P90), with four trials performed daily in the morning (from 8 to 12 am). The swimming behavior of mice was monitored using an automatic tracking system (Xinruan Information Technology Co. Ltd, Shanghai, China). On successfully locating the hidden platform within 90 s, the stopwatch was automatically stopped, and mice were maintained on the platform for 10 s. If a mouse failed to find the platform within 90 s, the animal was manually guided to the platform and then maintained on the platform for 15 s. To determine the spatial learning and memory performance of mice, we analyzed data related to escape latency during the training stage and platform crossing times in the probe test on P36 or P90. Mice were allowed a 30 min rest interval between each trial for daily training. After each training session, a heating pad was used to maintain a stable body temperature for 10 min.

2.4. Golgi staining and dendritic spine density analysis

The dendritic spine density of cortical neurons was identified using the FD Rapid GolgiStain Kit (Cat#: PK401, FD Neuro Technologies, USA). Mice were well-sedated for 4 min with 3% sevoflurane before decapitation on P30 or P84. Brains were subsequently dissected and immersed in a solution of mercuric chloride, potassium dichromate, and potassium chromate at room temperature for 14 days in the dark. The mixed solution was replaced the next day. Brain tissues were transferred to Solution C at room temperature in the dark for 96–120 h, and Solution C was replaced the following day. The impregnated brains were embedded in 4% agarose and sectioned at 120–150 μm using a Leica Vibratome. The slides were immersed in solutions D and E and Milli-Q water mixes. After careful washing with Milli-Q water, the slices were dehydrated with graded alcohol (50, 75, 95, and 100% ethanol in Milli-Q water) and cleared with xylene. Finally, the slides were sealed with neutral gum and analyzed under a bright field using a Nikon Eclipse TE2000U microscope. Ten pyramidal neurons from each mouse were selected in layers 4/5 of the cerebral cortex, and the dendritic spine density was counted using 10 secondary or third intermediate dendrites of 10-μm length under an oil immersion 100× objective. Thirty dendritic segments from each group were quantified using ImageJ2 (version 2.3, National Institutes of Health, USA). Dendritic spine density was calculated and expressed as the mean number of spines per 10 μm dendritic length.

2.5. Sample collection

Twenty mice were briefly anesthetized with sevoflurane 2 h after the end of treatment and decapitated. The cerebral cortex of each mouse was collected in independent cryogenic vials and stored in liquid nitrogen for rapid freezing. Samples were stored at −80°C until subsequent analysis. We selected TMTpro (16plek) based on 20 samples to reduce the loss of quantification data and counts of experimental batches. Two additional internal standards (IS) were introduced into our experiment as an independent group to reduce the impact of various batches. Both IS were mixtures of TMTpro-labeled peptides from 20 samples. Finally, TMT-based quantitative proteomic analysis with five biological replicates was performed on six groups of 22 samples.

2.6. Cortex homogenization and protein digestion

All tissue samples were homogenized on ice using lysis buffer (4% sodium dodecyl sulfate (SDS), 1 mM DTT, 100 mM Tris-HCl [pH 7.6], and protease inhibitor cocktail), and proteins were measured using the BCA protein assay kit (Bio-Rad Laboratories, USA). Briefly, samples were combined with 30 l SDT buffer (4% SDS, 100 mM DTT, 150 mM Tris-HCl, pH 8.0) for protein digestion. The detergent and DTT were subsequently removed using a mixture of uric acid (UA) buffer (8 M urea, 150 mM Tris-HCl, pH 8.0) and repeated ultrafiltration (Microcon units, 10 kD). Iodoacetamide [IAA; 100 μL iodoacetamide (100 mM IAA in UA buffer)] was added to the samples to block reduced cysteine residues, and samples were incubated in the dark for 30 min. The filters were then thrice washed with 100 μL UA buffer and twice with 100 μL 25 mM NH4HCO3 buffer. The peptides were collected as a filtrate after digestion with 4 g trypsin (Promega) in 40 μL 25 mM NH4HCO3 buffer overnight at 37°C. The peptides were desalted using C18 Cartridges [Sigma-Aldrich, USA, EmporeTM SPE Cartridges C18 (standard density) bed I.D. 7 mm, volume 3 mL], vacuum centrifuged, and reconstituted in 40 μL of 0.1% (v/v) formic acid. The extinction coefficient of 1.1 in the 0.1% (g/l) solution was calculated by considering the frequency of tryptophan and tyrosine in vertebrate proteins to estimate the ultraviolet (UV) light spectral density of peptides at 280 nm.

2.7. TMT labeling

For each sample, 100 μg of the peptide mixture was labeled using the TMTpro 16plek label reagent (Cat#: A44520, Thermo Fisher Scientific, USA) according to the manufacturer's instructions. The experiments were conducted in two batches. One batch comprised a set of peptides from the control group (10 samples) and IS, while the other consisted of peptides from sevoflurane groups (10 samples) and IS. The values of each batch were corrected using batch-specific IS. The samples were labeled using 11 of 16 TMTpro labels, including TMTpro-126, TMTpro-127C, TMTpro-127N, TMTpro-128C, TMTpro-128N, TMTpro-129C, TMTpro-129N, TMTpro-130C, TMTpro-130N, TMTpro-131C, and TMTpro-131N.

2.8. High-pH reversed-phase (RP) fractionation

Labeled peptides were fractionated to increase proteome coverage using a high-pH RP Peptide Fractionation Kit (Cat#:84868, Thermo Fisher Scientific, USA). The peptides were vacuum-dried prior to acidification with 0.1% trifluoroacetic acid (TFA) solution, followed by loading onto an equilibrated, high-pH, RP fractionation spin column. Peptides were bound to the hydrophobic resin under aqueous conditions and then desalted by washing the column with water using low-speed centrifugation at 5,000 × g for 2 min. After removing the solution and packing the resin, the liquid was discarded. To elute bound peptides into 10 separate fractions, a stepwise gradient of increasing acetonitrile (ACN) concentrations in a volatile high-pH elution solution was applied to columns recovered by centrifugation. The recovered fractions were desalted on C18 Cartridges (Cat#: EmporeTM SPE Cartridges C18 (standard density) bed I.D. 7 mm, volume 3 ml, Sigma-Aldrich, MO, USA) and vacuum centrifuged. The lyophilized peptide was re-dissolved in 12 μL of 0.1% formic acid solution (FA). The peptide concentration was measured at an optical density of 280 nm (OD280).

2.9. LC-MS/MS analysis

After loading into a reverse-phase trap column (Thermo Fisher Scientific, 100 m 2 cm) linked to a C18 RP analytical column (10 cm, ID75 μm, 3 μm resin), lyophilized peptides were resuspended in buffer A (0.1% FA). The tagged peptides were separated using an IntelliFlow-controlled linear gradient of buffer B (84% ACN and 0.1% FA) at a flow rate of 30 NL/min.

For LC-MS/MS analysis, we used a Q-Exactive mass spectrometer (Thermo Fisher Scientific) and an Easy nLC system. MS data were collected at 70,000 resolutions and 200 m/z in a scan range of 300–1,800 m/z in positive ion mode to detect intact peptides. The AGC goal was set at 1e6, the maximum inject time was 10 ms, and the dynamic exclusion duration was 40.0 s. In total, 20 MS2 scans were obtained based on the following settings to capture the mass-charge ratios of the polypeptide and polypeptide fragments for each entire scan: MS2 was activated with HCD, the isolation window was set to 2 m/z, the resolution of the HCD spectra was set to 17,500 at 200 m/z, the normalized collision energy was 30 eV, and the underfill ratio was 0.1%.

2.10. Protein identification and quantification

The raw data for each sample were processed using Proteome Discover software (version 1.4, Thermo Fisher Scientific) and the MASCOT engine (version 2.2, Matrix Science, London, UK) to match with the Uniport mouse database (“Swissprot_Mus_musculus_17063_20210106.fasta” downloaded from1 on January 6, 2021, and included 17,063 protein sequences). The following search parameters were entered: Mas missed cleavages: 2; peptide mass tolerance: ± 20 ppm; fragment mass tolerance: 0.1 Da; enzyme: Trypsin; Carbamidomethyl (C), TMT 6/10/16 plex (N-term), TMT 6/10/16 plex (K) are fixed modifications, and oxidation (M) is a variable modification. Decoy is a database pattern. Effective peptides had a false discovery rate of <0.01. Protein ratios were determined as the median of distinct peptides used to measure proteins. To account for experimental bias, all protein ratios were standardized using the mean protein ratio. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD037294.

2.11. Western blot

On completing the sevoflurane treatment, mice were decapitated, and the cerebral cortex was extracted after short-term anesthesia with 3% sevoflurane for 5 min. RIPA buffer (Cat#: R0020, Solarbio, China) and protease inhibitors (Cat#: HY-K0010, MedChemExpress, China) were used for tissue lysis. The extracted proteins were examined to assess the expression of the following proteins and confirm proteomic data: chromogranin B (CHGB), secretogranin-2 (SCG2), phosphatase and tensin homolog (PTEN), microtubule-associated protein 2c (MAP2c), and mitochondrial superoxide dismutase 2 (MSOD2) (SOD2). The protein concentration was measured using a BCA protein assay kit (Cat#: CW0014S, CWBIO, China). Identical protein amounts were loaded onto 4–12% SDS- polyacrylamide gel electrophoresis gels (Cat#: M00652, Gennscript, China), and proteins were transferred to polyvinylidene fluoride membranes (Cat#: IPVH00010, Millipore, US) and blocked with SuperBlock (TBS) Blocking Buffer (Cat#:37536, Thermo Fisher Scientific, USA) for 30 min. Membranes were incubated with the following primary antibodies: CHGB (1:1000; Cat#: ab150354, Abcam, UK), SCG2 (1:800; Cat#: NO.20357-1-AP, ProteinTech, USA), PTEN (1:100; Santa Cruz Biotechnology, USA), MAP2 (1:1000; Cat#: NO. 17490-1-AP, Proteintech, USA), SCG2 (1:1000; Cat#: NO. 24127-1-AP, ProteinTech, USA), and GAPDH (1:5000; Cat#: T0004, Affinity Biosciences, USA) at 4°C overnight. After washing five times with TBST (1× Tris-buffered saline with 0.1% Tween-20), membranes were then incubated with the horseradish peroxidase (HRP)-conjugated goat anti-mouse (1:5000; Cat#: S0002 Affinity Biosciences, USA) or rabbit secondary antibody (1:5000; Cat#: S0001 Affinity Biosciences, USA) at room temperature for 1.5 h, following washing mentioned above. Finally, the protein bands were visualized with ECL solution, and after obtaining images, the primary and secondary antibodies of the membrane were stripped by western blot stripping buffer (Cat#: 21059, ThermoFisher Scientific, USA) for 30–60 min at 37°C, depending on antibody affinity. The next target protein was incubated on the stripped membrane with primary and secondary antibodies, as described previously. ImageJ2 was used to qualify the protein bands (version 2.3, National Institutes of Health, USA). The protein expression levels of CHGB, SCG2, MAP2c, PTEN, and SOD2 were normalized to GAPDH levels. The experiment was performed in triplicate.

2.12. Statistical analysis

Data analyses were performed using GraphPad Prism version 9.0 (GraphPad Software Inc., La Jolla, CA, USA). The results of biochemical experiments are presented as mean ± standard deviation (SD). Values of MWM escape latency are presented as the mean ± standard error of the mean (SEM), and platform crossing numbers are expressed as the median and interquartile range.

A normality test was used to determine whether data values were normally distributed. Two-way repeated-measures ANOVA was used to compare escape latency in behavioral data. The Mann-Whitney test was used to assess the number of platform crossings between the control and sevoflurane anesthesia groups. Two-way ANOVA was performed to examine the influence of age (6-day-old vs. 60-day-old), treatment (control vs. sevoflurane treatment), and the interaction between age and treatment on protein expression levels (CHGB, PTEN, MAP2c, and SOD2). One-way ANOVA was used to examine differences in the relative density of the proteins described above, as well as the density of dendritic spines. P < 0.05 was deemed as a statistically significant difference.

3. Results

3.1. Multiple sevoflurane inhalations induce future spatial learning and memory deficits in newborn but not in adult mice

Data on escape latency and platform crossing numbers were collected throughout the positional navigation training and spatial exploration assessments. Considering the escape latency in the positioning navigation stage, pubertal mice subjected to multiple 3% sevoflurane anesthesia throughout neonatal development exhibited impaired spatial learning (P < 0.05), with no statistical difference observed between the P60 + Control and P60 + Sevoflurane groups (Figure 2A). Furthermore, sevoflurane anesthesia decreased the platform crossing number of adolescent mice when compared with that of control mice (P < 0.05), with no notable difference observed in the adult groups (Figure 2B). These results suggested that multiple sevoflurane doses could impair the spatial learning and memory function of newborn mice during puberty, with no significant effect observed in adult mice.

Figure 2.

Figure 2

Effects of multiple exposures to sevoflurane anesthesia to neonatal and adult mice on future spatial cognitive function in the test. (A) Swimming escape latency and (B) platform crossing number. n = 10 mice/group. Escape latency results are presented as mean ± standard error of the mean (SEM); the platform crossing number is expressed as median and interquartile range. *P < 0.05 vs. P6 + Control. MWM, Morris water maze; P6, postnatal day 6.

3.2. Changes in dendritic spine density in cerebral cortex

Based on Golgi-Cox staining of the cerebral cortex harvested 22 days post-treatment, pyramidal neurons in layer 4/5 of the P6+Sevoflurane group had a lower dendritic spine density than those of the P6+Control group; multiple sevoflurane exposures did not affect future dendritic spine density in adult mice. The above results were compatible with the behavioral test results (*P <0.05, P6 + Control, Figure 3).

Figure 3.

Figure 3

The results of Golgi-Cox staining on the dendrites of pyramidal neurons of cerebral cortex in layers 4/5. (A) Representative photomicrographs of Golgi-Cox-stained dendrites (scale bar, 1 μm). (B) The dendritic spine density (numbers of dendritic spine/10 μm). n = 20 dendrites/mice. *P < 0.05 vs. P6 + Control. P6, postnatal day 6.

3.3. Protein quantitative characterization and DEP screening

A TMT-based quantitative proteomics technique was used to examine the cerebral cortex proteome of different groups. Our findings indicated that 6,861 proteins were discovered, with 6,247 proteins presenting quantitative values and annotation words. In the present study, proteins whose quantitative levels increased or decreased 1.2-fold were deemed DEPs.

Four groups were used for pairwise comparisons. DEPs derived from sevoflurane-induced neurotoxicity in newborn mice met at least one of three criteria: (1) in neonatal mice, sevoflurane caused the differential expression of proteins (DEPs in the P6 + Sevoflurane/P6 + Control), while age induced differential protein expression in control group mice (DEPs in the P60 + Control/P6 + Control). Discrepancies in DEP changes between the two groups implied that sevoflurane anesthesia might suppress age-induced DEPs, therefore promoting neurotoxic vulnerability in young mice (Table 1); (2) sevoflurane caused DEPs in newborn groups (DEPs in the P6 + Sevoflurane/P6 + Control), but age had no effect on the expression of these proteins in the sevoflurane treatment group (non-DEPs in the P60 + Sevoflurane/P6 + Sevoflurane). This finding suggests that these proteins could be intervention targets for sevoflurane-induced developmental neurotoxicity and are not associated with age. The therapeutic potential of these proteins could be exploited using selective inhibitors to prevent damage associated with multiple sevoflurane inhalations at a young age (Table 2); (3) Multiple sevoflurane inhalation induced statistically significant differences in protein expression in the neonatal group (DEPs in the P6 + Sevoflurane/P6 + Control), whereas age could also induce these proteins to produce significant differential expression in the sevoflurane group (DEPs in the P60 + Sevoflurane/P6 + Sevoflurane group). This finding revealed that targets of sevoflurane-induced neurotoxicity in neonatal mice matched those of age-dependent DEPs exposed to several sevoflurane doses (Table 3). Based on the above criteria, 443 proteins were filtered out to evaluate the potential mechanisms of sevoflurane-induced developmental neurotoxicity.

Table 1.

List of the several sevoflurane-related significantly differential proteins in condition 1.

Protein names Proteins IDs Gene name P6S/P6C P P60S/6S P
Phospholemman Q9Z239 Fxyd1 2.83 P < 0.05 0.68 P < 0.05
Intersectin-2 Q9Z0R6 Itsn2 1.41 P < 0.05 0.69 P < 0.05
NPC intracellular cholesterol transporter 2 Q9Z0J0 Npc2 0.78 P < 0.05 1.22 P < 0.05
A-kinase anchor protein 12 Q9WTQ5 Akap12 0.74 P < 0.05 1.34 P < 0.05
KH domain-containing, RNA-binding, signal transduction-associated protein 3 Q9R226 Khdrbs3 0.76 P < 0.05 1.51 P < 0.05
Serine racemase Q9QZX7 Srr 1.30 P < 0.05 0.66 P < 0.05
Tubulin alpha-8 chain Q9JJZ2 Tuba8 1.47 P < 0.05 0.58 P < 0.05
Transcription and mRNA export factor ENY2 Q9JIX0 Eny2 0.81 P < 0.05 1.32 P < 0.05
Fructosamine-3-kinase Q9ER35 Fn3k 2.00 P < 0.05 0.83 P < 0.05
Transcription factor 20 Q9EPQ8 Tcf20 0.65 P < 0.05 1.64 P < 0.05
NADH dehydrogenase [ubiquinone] iron-sulfur protein 3, mitochondrial Q9DCT2 Ndufs3 1.59 P < 0.05 0.83 P < 0.05
Methyltransferase-like 26 Q9DCS2 Mettl26 1.22 P < 0.05 0.69 P < 0.05
NADH dehydrogenase [ubiquinone] 1 alpha subcomplex subunit 9, mitochondrial Q9DC69 Ndufa9 1.67 P < 0.05 0.83 P < 0.05
Ubiquitin carboxyl-terminal hydrolase 12 Q9D9M2 Usp12 1.53 P < 0.05 0.82 P < 0.05
Synaptojanin-2-binding protein Q9D6K5 Synj2bp 1.54 P < 0.05 0.73 P < 0.05
1-acyl-sn-glycerol-3-phosphate acyltransferase gamma Q9D517 Agpat3 1.25 P < 0.05 0.64 P < 0.05
Protein tweety homolog 1 Q9D3A9 Ttyh1 1.88 P < 0.05 0.82 P < 0.05
Heterogeneous nuclear ribonucleoprotein A0 Q9CX86 Hnrnpa0 0.57 P < 0.05 1.41 P < 0.05
ATP synthase subunit s, mitochondrial Q9CRA7 Dmac2l 1.49 P < 0.05 0.78 P < 0.05
Josephin-2 Q9CR30 Josd2 2.44 P < 0.05 0.75 P < 0.05
Acetyl-coenzyme A transporter 1 Q99J27 Slc33a1 1.53 P < 0.05 0.68 P < 0.05
Calcium/calmodulin-dependent protein kinase type II subunit gamma Q923T9 Camk2g 1.45 P < 0.05 0.83 P < 0.05
ADP-ribose glycohydrolase MACROD1 Q922B1 Macrod1 1.28 P < 0.05 0.80 P < 0.05
Prostaglandin reductase 2 Q8VDQ1 Ptgr2 1.50 P < 0.05 0.63 P < 0.05
Small glutamine-rich tetratricopeptide repeat-containing protein beta Q8VD33 Sgtb 1.24 P < 0.05 0.73 P < 0.05
Cytochrome b-c1 complex subunit 9 Q8R1I1 Uqcr10 1.60 P < 0.05 0.59 P < 0.05
Synaptogyrin-3 Q8R191 Syngr3 1.31 P < 0.05 0.68 P < 0.05
ATP-binding cassette sub-family F member 3 Q8K268 Abcf3 0.82 P < 0.05 1.53 P < 0.05
COX assembly mitochondrial protein 2 homolog Q8K199 Cmc2 1.20 P < 0.05 0.81 P < 0.05
Zinc finger protein 536 Q8K083 Znf536 0.52 P < 0.05 1.60 P < 0.05
Adhesion G protein-coupled receptor A1 Q8C4G9 Adgra1 1.42 P < 0.05 0.60 P < 0.05
Copine-1 Q8C166 Cpne1 1.29 P < 0.05 0.81 P < 0.05
Coronin-2A Q8C0P5 Coro2a 1.45 P < 0.05 0.57 P < 0.05
Choline transporter-like protein 2 Q8BY89 Slc44a2 1.24 P < 0.05 0.79 P < 0.05
Uncharacterized protein KIAA1671 Q8BRV5 Kiaa1671 1.45 P < 0.05 0.81 P < 0.05
Ubiquinone biosynthesis O-methyltransferase, mitochondrial Q8BMS4 Coq3 1.43 P < 0.05 0.75 P < 0.05
PI-PLC X domain-containing protein 3 Q8BLJ3 Plcxd3 1.26 P < 0.05 0.73 P < 0.05
Serine/arginine-rich splicing factor 7 Q8BL97 Srsf7 0.63 P < 0.05 1.21 P < 0.05
Potassium voltage-gated channel subfamily F member 1 Q7TSH7 Kcnf1 1.46 P < 0.05 0.71 P < 0.05
MICOS complex subunit Mic10 Q7TNS2 Micos10 1.60 P < 0.05 0.77 P < 0.05
WD repeat-containing protein 43 Q6ZQL4 Wdr43 0.81 P < 0.05 1.28 P < 0.05
FK506-binding protein 15 Q6P9Q6 Fkbp15 0.83 P < 0.05 1.21 P < 0.05
Structure-specific endonuclease subunit SLX4 Q6P1D7 Slx4 0.76 P < 0.05 1.30 P < 0.05
Centrosomal protein of 170 kDa Q6A065 Cep170 0.74 P < 0.05 1.21 P < 0.05
Long-chain fatty acid transport protein 1 Q60714 Slc27a1 1.23 P < 0.05 0.80 P < 0.05
Laminin subunit alpha-2 Q60675 Lama2 1.29 P < 0.05 0.67 P < 0.05
Corticotropin-releasing factor-binding protein Q60571 Crhbp 1.21 P < 0.05 0.77 P < 0.05
Leucine-rich repeat serine/threonine-protein kinase 2 Q5S006 Lrrk2 1.52 P < 0.05 0.67 P < 0.05
Extracellular serine/threonine protein kinase FAM20C Q5MJS3 Fam20c 0.74 P < 0.05 1.25 P < 0.05
Zinc transporter ZIP12 Q5FWH7 Slc39a12 1.26 P < 0.05 0.65 P < 0.05
Sodium channel subunit beta-2 Q56A07 Scn2b 2.71 P < 0.05 0.49 P < 0.05
Optic atrophy 3 protein homolog Q505D7 Opa3 1.25 P < 0.05 0.71 P < 0.05
BMP/retinoic acid-inducible neural-specific protein 3 Q499E0 Brinp3 1.21 P < 0.05 0.68 P < 0.05
Type 1 phosphatidylinositol 4,5-bisphosphate 4-phosphatase Q3TWL2 Pip4p1 1.33 P < 0.05 0.74 P < 0.05
Coiled-coil domain-containing protein 127 Q3TC33 Ccdc127 1.49 P < 0.05 0.72 P < 0.05
Cyclin-dependent kinase 16 Q04735 Cdk16 1.41 P < 0.05 0.71 P < 0.05
Isochorismatase domain-containing protein 2A P85094 Isoc2a 2.13 P < 0.05 0.74 P < 0.05
Cellular retinoic acid-binding protein 1 P62965 Crabp1 0.67 P < 0.05 1.34 P < 0.05
Mitochondrial import inner membrane translocase subunit Tim13 P62075 Timm13 1.25 P < 0.05 0.72 P < 0.05
Wolframin P56695 Wfs1 1.44 P < 0.05 0.68 P < 0.05
Arylsulfatase A P50428 Arsa 1.23 P < 0.05 0.77 P < 0.05
Tropomodulin-1 P49813 Tmod1 2.07 P < 0.05 0.64 P < 0.05
Glutamate decarboxylase 1 P48318 Gad1 1.43 P < 0.05 0.73 P < 0.05
Ras-specific guanine nucleotide-releasing factor 1 P27671 Rasgrf1 1.33 P < 0.05 0.67 P < 0.05
Splicing factor U2AF 65 kDa subunit P26369 U2af2 0.61 P < 0.05 1.79 P < 0.05
Gap junction alpha-1 protein P23242 Gja1 1.62 P < 0.05 0.74 P < 0.05
Cytochrome c oxidase subunit 7C, mitochondrial P17665 Cox7c 1.42 P < 0.05 0.74 P < 0.05
Integrin beta-2 P11835 Itgb2 1.61 P < 0.05 0.52 P < 0.05
Superoxide dismutase [Mn], mitochondrial P09671 Sod2 1.59 P < 0.05 0.74 P < 0.05
Major prion protein P04925 Prnp 1.42 P < 0.05 0.76 P < 0.05
NADH-ubiquinone oxidoreductase chain 4 P03911 Mtnd4 1.28 P < 0.05 0.78 P < 0.05
Protein Wiz O88286 Wiz 0.72 P < 0.05 1.27 P < 0.05
Transcription factor Sp3 O70494 Sp3 0.71 P < 0.05 1.23 P < 0.05
ATPase GET3 O54984 Get3 1.29 P < 0.05 0.70 P < 0.05
DnaJ homolog subfamily B member 6 O54946 Dnajb6 1.21 P < 0.05 0.73 P < 0.05
YjeF N-terminal domain-containing protein 3 F6W8I0 Yjefn3 1.78 P < 0.05 0.70 P < 0.05
Glutamate-rich protein 6 D3Z6S9 Erich6 1.34 P < 0.05 0.76 P < 0.05
Damage-control phosphatase ARMT1 A6H630 Armt1 1.48 P < 0.05 0.79 P < 0.05
Apical junction component 1 homolog A2AJA9 Ajm1 1.54 P < 0.05 0.75 P < 0.05
Oxysterol-binding protein-related protein 9 A2A8Z1 Osbpl9 0.79 P < 0.05 1.29 P < 0.05

Table 2.

List of the several sevoflurane-related significantly differential proteins in condition 2.

Protein names Proteins IDs Gene name P6S/P6C P P60S/6S P
Oxysterol-binding protein-related protein 10 S4R1M9 Osbpl10 0.79 P < 0.05 0.85 P > 0.05
Protein sel-1 homolog 1 Q9Z2G6 Sel1l 0.82 P < 0.05 1.02 P > 0.05
Protein fem-1 homolog A-A Q9Z2G1 Fem1aa 0.80 P < 0.05 1.07 P > 0.05
Disintegrin and metalloproteinase domain-containing protein 17 Q9Z0F8 Adam17 1.28 P < 0.05 1.06 P > 0.05
Beta-crystallin B1 Q9WVJ5 Crybb1 0.82 P < 0.05 0.93 P > 0.05
Ribosomal protein S6 kinase alpha-2 Q9WUT3 Rps6ka2 0.78 P < 0.05 1.01 P > 0.05
YLP motif-containing protein 1 Q9R0I7 Ylpm1 1.21 P < 0.05 0.97 P > 0.05
Evolutionarily conserved signaling intermediate in Toll pathway, mitochondrial Q9QZH6 Ecsit 0.81 P < 0.05 0.99 P > 0.05
DCN1-like protein 1 Q9QZ73 Dcun1d1 0.74 P < 0.05 0.92 P > 0.05
ProSAAS Q9QXV0 Pcsk1n 1.20 P < 0.05 1.06 P > 0.05
Amyloid-beta A4 precursor protein-binding family B member 1 Q9QXJ1 Apbb1 1.41 P < 0.05 0.90 P > 0.05
Trafficking protein particle complex subunit 2-like protein Q9JME7 Trappc2l 0.82 P < 0.05 0.98 P > 0.05
VPS10 domain-containing receptor SorCS1 Q9JLC4 Sorcs1 1.26 P < 0.05 1.01 P > 0.05
CCR4-NOT transcription complex subunit 9 Q9JKY0 Cnot9 0.81 P < 0.05 0.92 P > 0.05
Syntaxin-6 Q9JKK1 Stx6 0.77 P < 0.05 0.89 P > 0.05
Kv channel-interacting protein 2 Q9JJ69 Kcnip2 0.71 P < 0.05 0.89 P > 0.05
Coatomer subunit beta Q9JIF7 Copb1 0.77 P < 0.05 0.87 P > 0.05
Progressive ankylosis protein Q9JHZ2 Ankh 1.28 P < 0.05 1.05 P > 0.05
Transcription factor 20 Q9EPQ8 Tcf20 1.64 P < 0.05 1.03 P > 0.05
X-linked retinitis pigmentosa GTPase regulator-interacting protein 1 Q9EPQ2 Rpgrip1 0.46 P < 0.05 0.83 P > 0.05
STARD3 N-terminal-like protein Q9DCI3 Stard3nl 1.70 P < 0.05 0.88 P > 0.05
Protein-associating with the carboxyl-terminal domain of ezrin Q9DBQ7 Scyl3 1.51 P < 0.05 0.98 P > 0.05
Vesicular integral-membrane protein VIP36 Q9DBH5 Lman2 0.80 P < 0.05 0.81 P > 0.05
Ubiquitin carboxyl-terminal hydrolase 12 Q9D9M2 Usp12 0.82 P < 0.05 1.11 P > 0.05
TP53-regulated inhibitor of apoptosis 1 Q9D8Z2 Triap1 0.74 P < 0.05 0.85 P > 0.05
SRA stem-loop-interacting RNA-binding protein, mitochondrial Q9D8T7 Slirp 0.75 P < 0.05 0.92 P > 0.05
Protein FAM241B Q9D882 Fam241b 1.32 P < 0.05 0.96 P > 0.05
Protein FAM162A Q9D6U8 Fam162a 0.73 P < 0.05 0.91 P > 0.05
Clavesin-1 Q9D4C9 Clvs1 0.80 P < 0.05 1.02 P > 0.05
Epoxide hydrolase 1 Q9D379 Ephx1 0.71 P < 0.05 0.96 P > 0.05
Arpin Q9D0A3 Arpin 1.37 P < 0.05 0.93 P > 0.05
Ras-related protein Rab-3B Q9CZT8 Rab3b 0.82 P < 0.05 0.86 P > 0.05
Succinate dehydrogenase cytochrome b560 subunit, mitochondrial Q9CZB0 Sdhc 0.78 P < 0.05 0.92 P > 0.05
Probable ATP-dependent RNA helicase DDX47 Q9CWX9 Ddx47 1.32 P < 0.05 0.99 P > 0.05
ATP synthase subunit s, mitochondrial Q9CRA7 Dmac2l 0.78 P < 0.05 0.96 P > 0.05
Calcium-regulated heat stable protein 1 Q9CR86 Carhsp1 1.48 P < 0.05 1.01 P > 0.05
Transmembrane protein 33 Q9CR67 Tmem33 0.63 P < 0.05 0.97 P > 0.05
L-aminoadipate-semialdehyde dehydrogenase-phosphopantetheinyl transferase Q9CQF6 Aasdhppt 0.55 P < 0.05 0.82 P > 0.05
Ubiquilin-4 Q99NB8 Ubqln4 1.57 P < 0.05 0.94 P > 0.05
39S ribosomal protein L9, mitochondrial Q99N94 Mrpl9 1.65 P < 0.05 1.08 P > 0.05
39S ribosomal protein L16, mitochondrial Q99N93 Mrpl16 0.77 P < 0.05 0.87 P > 0.05
RING finger protein 141 Q99MB7 Rnf141 0.81 P < 0.05 0.93 P > 0.05
CDK5 regulatory subunit-associated protein 3 Q99LM2 Cdk5rap3 2.06 P < 0.05 1.15 P > 0.05
Chloride channel CLIC-like protein 1 Q99LI2 Clcc1 1.35 P < 0.05 0.94 P > 0.05
Ras-related GTP-binding protein C Q99K70 Rragc 0.80 P < 0.05 0.86 P > 0.05
Alsin Q920R0 Als2 0.83 P < 0.05 0.93 P > 0.05
GTP-binding protein Di-Ras1 Q91Z61 Diras1 0.80 P < 0.05 1.00 P > 0.05
Thymocyte nuclear protein 1 Q91YJ3 Thyn1 0.76 P < 0.05 0.83 P > 0.05
Oxysterol-binding protein-related protein 1 Q91XL9 Osbpl1a 0.78 P < 0.05 0.88 P > 0.05
SNF-related serine/threonine-protein kinase Q8VDU5 Snrk 1.21 P < 0.05 1.03 P > 0.05
Small glutamine-rich tetratricopeptide repeat-containing protein beta Q8VD33 Sgtb 0.73 P < 0.05 0.88 P > 0.05
Alpha/beta hydrolase domain-containing protein 17C Q8VCV1 Abhd17c 0.82 P < 0.05 0.93 P > 0.05
UBX domain-containing protein 4 Q8VCH8 Ubxn4 1.55 P < 0.05 0.93 P > 0.05
Netrin-G1 Q8R4G0 Ntng1 0.72 P < 0.05 0.84 P > 0.05
COMM domain-containing protein 5 Q8R395 Commd5 0.66 P < 0.05 1.12 P > 0.05
Rab11 family-interacting protein 5 Q8R361 Rab11fip5 1.24 P < 0.05 1.01 P > 0.05
Synaptogyrin-3 Q8R191 Syngr3 0.68 P < 0.05 0.87 P > 0.05
Optineurin Q8K3K8 Optn 0.72 P < 0.05 0.95 P > 0.05
Netrin receptor UNC5A Q8K1S4 Unc5a 1.78 P < 0.05 1.02 P > 0.05
COMM domain-containing protein 10 Q8JZY2 Commd10 1.27 P < 0.05 1.07 P > 0.05
Long-chain-fatty-acid–CoA ligase 5 Q8JZR0 Acsl5 0.78 P < 0.05 0.86 P > 0.05
TGF-beta-activated kinase 1 and MAP3K7-binding protein 1 Q8CF89 Tab1 0.71 P < 0.05 1.05 P > 0.05
von Willebrand factor A domain-containing protein 8 Q8CC88 Vwa8 0.80 P < 0.05 1.08 P > 0.05
Consortin Q8CBC4 Cnst 0.71 P < 0.05 0.86 P > 0.05
Prenylcysteine oxidase-like Q8C7K6 Pcyox1l 1.23 P < 0.05 1.00 P > 0.05
RNA-binding protein 14 Q8C2Q3 Rbm14 1.20 P < 0.05 0.95 P > 0.05
Copine-1 Q8C166 Cpne1 0.81 P < 0.05 0.98 P > 0.05
Autophagy-related protein 16-1 Q8C0J2 Atg16l1 0.83 P < 0.05 0.97 P > 0.05
Pogo transposable element with ZNF domain Q8BZH4 Pogz 1.21 P < 0.05 0.95 P > 0.05
Calcium/calmodulin-dependent protein kinase type 1D Q8BW96 Camk1d 0.80 P < 0.05 0.90 P > 0.05
Uncharacterized protein KIAA1671 Q8BRV5 Kiaa1671 0.81 P < 0.05 1.19 P > 0.05
Paralemmin-2 Q8BR92 Palm2 1.24 P < 0.05 1.06 P > 0.05
IQ calmodulin-binding motif-containing protein 1 Q8BP00 Iqcb1 0.77 P < 0.05 1.04 P > 0.05
PI-PLC X domain-containing protein 3 Q8BLJ3 Plcxd3 0.73 P < 0.05 0.89 P > 0.05
RNA binding protein fox-1 homolog 3 Q8BIF2 Rbfox3 0.75 P < 0.05 0.81 P > 0.05
Atlastin-1 Q8BH66 Atl1 0.83 P < 0.05 0.97 P > 0.05
Enolase-phosphatase E1 Q8BGB7 Enoph1 0.83 P < 0.05 0.90 P > 0.05
Protein ZNF365 Q8BG89 Znf365 0.71 P < 0.05 0.97 P > 0.05
Coiled-coil domain-containing protein 50 Q810U5 Ccdc50 0.72 P < 0.05 0.81 P > 0.05
Tetratricopeptide repeat protein 9C Q810A3 Ttc9c 0.75 P < 0.05 0.99 P > 0.05
Sperm-associated antigen 1 Q80ZX8 Spag1 1.75 P < 0.05 0.99 P > 0.05
Death-associated protein kinase 1 Q80YE7 Dapk1 0.75 P < 0.05 1.04 P > 0.05
Rabenosyn-5 Q80Y56 Rbsn 0.77 P < 0.05 0.82 P > 0.05
MICOS complex subunit Mic10 Q7TNS2 Micos10 0.77 P < 0.05 1.20 P > 0.05
L-fucose kinase Q7TMC8 Fcsk 0.70 P < 0.05 0.97 P > 0.05
Small integral membrane protein 12 Q78RX3 Smim12 0.68 P < 0.05 0.85 P > 0.05
T-lymphoma invasion and metastasis-inducing protein 2 Q6ZPF3 Tiam2 1.33 P < 0.05 1.07 P > 0.05
Diacylglycerol lipase-alpha Q6WQJ1 Dagla 0.78 P < 0.05 1.14 P > 0.05
WASH complex subunit 2 Q6PGL7 Washc2 1.50 P < 0.05 0.96 P > 0.05
Palmitoyl-protein thioesterase ABHD10, mitochondrial Q6PE15 Abhd10 0.81 P < 0.05 0.83 P > 0.05
Myogenesis-regulating glycosidase Q69ZQ1 Myorg 1.27 P < 0.05 1.00 P > 0.05
Serine/threonine-protein kinase BRSK2 Q69Z98 Brsk2 1.25 P < 0.05 0.89 P > 0.05
Apoptosis-stimulating of p53 protein 1 Q62415 Ppp1r13b 0.76 P < 0.05 0.98 P > 0.05
Macrophage mannose receptor 1 Q61830 Mrc1 0.73 P < 0.05 0.81 P > 0.05
Zinc finger protein 638 Q61464 Znf638 1.21 P < 0.05 0.92 P > 0.05
Immunoglobulin-binding protein 1 Q61249 Igbp1 1.23 P < 0.05 0.94 P > 0.05
Dual specificity tyrosine-phosphorylation-regulated kinase 1A Q61214 Dyrk1a 1.26 P < 0.05 1.06 P > 0.05
ELAV-like protein 2 Q60899 Elavl2 2.20 P < 0.05 1.20 P > 0.05
Long-chain fatty acid transport protein 1 Q60714 Slc27a1 0.80 P < 0.05 1.06 P > 0.05
Deoxynucleoside triphosphate triphosphohydrolase SAMHD1 Q60710 Samhd1 1.71 P < 0.05 1.01 P > 0.05
Laminin subunit alpha-2 Q60675 Lama2 0.67 P < 0.05 0.98 P > 0.05
Corticotropin-releasing factor-binding protein Q60571 Crhbp 0.77 P < 0.05 0.95 P > 0.05
Protein jagunal homolog 1 Q5XKN4 Jagn1 0.66 P < 0.05 0.91 P > 0.05
WD repeat-containing protein 81 Q5ND34 Wdr81 0.76 P < 0.05 0.97 P > 0.05
Extracellular serine/threonine protein kinase FAM20C Q5MJS3 Fam20c 1.25 P < 0.05 0.97 P > 0.05
Epimerase family protein SDR39U1 Q5M8N4 Sdr39u1 0.71 P < 0.05 1.05 P > 0.05
Volume-regulated anion channel subunit LRRC8B Q5DU41 Lrrc8b 1.35 P < 0.05 0.94 P > 0.05
Optic atrophy 3 protein homolog Q505D7 Opa3 0.71 P < 0.05 0.96 P > 0.05
Testis-expressed protein 10 Q3URQ0 Tex10 1.60 P < 0.05 0.95 P > 0.05
G protein-regulated inducer of neurite outgrowth 1 Q3UNH4 Gprin1 1.23 P < 0.05 1.02 P > 0.05
Glucose-fructose oxidoreductase domain-containing protein 1 Q3UHD2 Gfod1 0.81 P < 0.05 1.09 P > 0.05
Type 1 phosphatidylinositol 4,5-bisphosphate 4-phosphatase Q3TWL2 Pip4p1 0.74 P < 0.05 0.92 P > 0.05
Keratin, type II cytoskeletal 2 epidermal Q3TTY5 Krt2 0.76 P < 0.05 0.83 P > 0.05
Patatin-like phospholipase domain-containing protein 6 Q3TRM4 Pnpla6 0.74 P < 0.05 0.97 P > 0.05
Coiled-coil domain-containing protein 127 Q3TC33 Ccdc127 0.72 P < 0.05 1.13 P > 0.05
Mitogen-activated protein kinase kinase kinase 13 Q1HKZ5 Map3k13 0.69 P < 0.05 0.98 P > 0.05
Insulin-like growth factor-binding protein 5 Q07079 Igfbp5 1.22 P < 0.05 0.86 P > 0.05
Glutamate receptor ionotropic, NMDA 2D Q03391 Grin2d 0.62 P < 0.05 0.94 P > 0.05
Junction plakoglobin Q02257 Jup 0.82 P < 0.05 0.93 P > 0.05
Peroxiredoxin-5, mitochondrial P99029 Prdx5 1.22 P < 0.05 0.93 P > 0.05
Amyloid-beta A4 precursor protein-binding family A member 2 P98084 Apba2 1.34 P < 0.05 0.91 P > 0.05
Adenylate cyclase type 8 P97490 Adcy8 0.60 P < 0.05 0.89 P > 0.05
Eukaryotic translation initiation factor 4E-binding protein 2 P70445 Eif4ebp2 1.21 P < 0.05 1.02 P > 0.05
Pituitary adenylate cyclase-activating polypeptide type I receptor P70205 Adcyap1r1 1.52 P < 0.05 1.01 P > 0.05
Ran-binding protein 9 P69566 Ranbp9 0.79 P < 0.05 0.93 P > 0.05
SUMO-conjugating enzyme UBC9 P63280 Ube2i 0.76 P < 0.05 0.93 P > 0.05
Mitochondrial import inner membrane translocase subunit Tim13 P62075 Timm13 0.72 P < 0.05 0.98 P > 0.05
AP-1 complex subunit sigma-1A P61967 Ap1s1 0.80 P < 0.05 0.91 P > 0.05
Nuclear protein localization protein 4 homolog P60670 Nploc4 1.37 P < 0.05 1.11 P > 0.05
Ubiquitin carboxyl-terminal hydrolase 25 P57080 Usp25 0.68 P < 0.05 0.92 P > 0.05
Wolframin P56695 Wfs1 0.68 P < 0.05 1.08 P > 0.05
Protoporphyrinogen oxidase P51175 Ppox 0.81 P < 0.05 0.82 P > 0.05
Calpastatin P51125 Cast 1.24 P < 0.05 1.09 P > 0.05
Arylsulfatase A P50428 Arsa 0.77 P < 0.05 0.97 P > 0.05
Hematopoietic lineage cell-specific protein P49710 Hcls1 0.77 P < 0.05 1.02 P > 0.05
Signal transducer and activator of transcription 3 P42227 Stat3 0.79 P < 0.05 0.97 P > 0.05
Radixin P26043 Rdx 1.33 P < 0.05 1.10 P > 0.05
Lysosomal acid phosphatase P24638 Acp2 0.78 P < 0.05 0.91 P > 0.05
Cytochrome P450 2D11 P24457 Cyp2d11 1.93 P < 0.05 1.09 P > 0.05
Microtubule-associated protein 2 P20357 Map2 1.22 P < 0.05 1.06 P > 0.05
Secretogranin-1 P16014 Chgb 1.38 P < 0.05 1.02 P > 0.05
Dystrophin P11531 Dmd 0.79 P < 0.05 0.82 P > 0.05
Complement factor H P06909 Cfh 1.36 P < 0.05 1.14 P > 0.05
Major prion protein P04925 Prnp 0.76 P < 0.05 1.00 P > 0.05
Serine/threonine-protein kinase A-Raf P04627 Araf 0.75 P < 0.05 1.00 P > 0.05
Keratin, type II cytoskeletal 1 P04104 Krt1 0.73 P < 0.05 1.17 P > 0.05
NADH-ubiquinone oxidoreductase chain 4 P03911 Mtnd4 0.78 P < 0.05 0.94 P > 0.05
Afamin O89020 Afm 1.26 P < 0.05 0.81 P > 0.05
Sortilin-related receptor O88307 Sorl1 0.68 P < 0.05 0.80 P > 0.05
Protein Wiz O88286 Wiz 1.27 P < 0.05 1.03 P > 0.05
Protein tyrosine phosphatase type IVA 2 O70274 Ptp4a2 0.73 P < 0.05 0.95 P > 0.05
ATPase GET3 O54984 Get3 0.70 P < 0.05 0.98 P > 0.05
Caveolae-associated protein 1 O54724 Cavin1 0.78 P < 0.05 0.86 P > 0.05
Sialidase-1 O35657 Neu1 1.35 P < 0.05 1.06 P > 0.05
Glutamate carboxypeptidase 2 O35409 Folh1 2.18 P < 0.05 1.06 P > 0.05
3-hydroxyacyl-CoA dehydrogenase type-2 O08756 Hsd17b10 0.78 P < 0.05 0.90 P > 0.05
DNA-directed RNA polymerase II subunit RPB11 O08740 Polr2j 1.65 P < 0.05 0.94 P > 0.05
Phosphatidylinositol 3,4,5-trisphosphate 3-phosphatase and dual-specificity protein phosphatase PTEN O08586 Pten 1.30 P < 0.05 1.00 P > 0.05
Rab11 family-interacting protein 2 G3XA57 Rab11fip2 0.69 P < 0.05 1.03 P > 0.05
Glutamate-rich protein 6 D3Z6S9 Erich6 0.76 P < 0.05 1.15 P > 0.05
Ryanodine receptor 3 A2AGL3 Ryr3 0.66 P < 0.05 0.86 P > 0.05

Table 3.

List of the several sevoflurane-related significantly differential proteins in condition 3.

Protein names Proteins IDs Gene name P6S/6C P P60S/P6S P
Retinaldehyde-binding protein 1 Q9Z275 Rlbp1 0.61 P < 0.05 0.49 P < 0.05
Phospholemman Q9Z239 Fxyd1 0.68 P < 0.05 4.96 P < 0.05
NPC intracellular cholesterol transporter 2 Q9Z0J0 Npc2 1.22 P < 0.05 0.78 P < 0.05
Histone-arginine methyltransferase CARM1 Q9WVG6 Carm1 0.83 P < 0.05 0.75 P < 0.05
RanBP-type and C3HC4-type zinc finger-containing protein 1 Q9WUB0 Rbck1 1.30 P < 0.05 1.25 P < 0.05
Prefoldin subunit 5 Q9WU28 Pfdn5 0.72 P < 0.05 0.61 P < 0.05
V-type proton ATPase subunit G 2 Q9WTT4 Atp6v1g2 1.41 P < 0.05 2.48 P < 0.05
Mitochondrial import inner membrane translocase subunit Tim23 Q9WTQ8 Timm23 0.78 P < 0.05 0.71 P < 0.05
A-kinase anchor protein 12 Q9WTQ5 Akap12 1.34 P < 0.05 0.70 P < 0.05
V-type proton ATPase subunit S1 Q9R1Q9 Atp6ap1 0.67 P < 0.05 0.61 P < 0.05
Diacylglycerol kinase epsilon Q9R1C6 Dgke 0.82 P < 0.05 1.21 P < 0.05
Synaptotagmin-11 Q9R0N3 Syt11 0.82 P < 0.05 0.69 P < 0.05
Zinc finger E-box-binding homeobox 2 Q9R0G7 Zeb2 0.80 P < 0.05 0.72 P < 0.05
Serine racemase Q9QZX7 Srr 0.66 P < 0.05 1.64 P < 0.05
DnaJ homolog subfamily A member 2 Q9QYJ0 Dnaja2 0.78 P < 0.05 0.75 P < 0.05
Activating signal cointegrator 1 Q9QXN3 Trip4 0.82 P < 0.05 0.80 P < 0.05
Alpha-N-acetylgalactosaminidase Q9QWR8 Naga 0.71 P < 0.05 0.49 P < 0.05
Tubulin alpha-8 chain Q9JJZ2 Tuba8 0.58 P < 0.05 2.02 P < 0.05
Phosphorylated adapter RNA export protein Q9JJT9 Phax 0.82 P < 0.05 0.71 P < 0.05
Ribosomal oxygenase 1 Q9JJF3 Riox1 0.81 P < 0.05 0.79 P < 0.05
Transcription and mRNA export factor ENY2 Q9JIX0 Eny2 1.32 P < 0.05 0.69 P < 0.05
Solute carrier family 12 member 4 Q9JIS8 Slc12a4 1.26 P < 0.05 1.21 P < 0.05
Protein arginine N-methyltransferase 1 Q9JIF0 Prmt1 0.82 P < 0.05 0.60 P < 0.05
Palmdelphin Q9JHU2 Palmd 0.55 P < 0.05 0.71 P < 0.05
Acidic leucine-rich nuclear phosphoprotein 32 family member B Q9EST5 Anp32b 0.81 P < 0.05 0.63 P < 0.05
Tuftelin-interacting protein 11 Q9ERA6 Tfip11 0.77 P < 0.05 0.65 P < 0.05
Fructosamine-3-kinase Q9ER35 Fn3k 0.83 P < 0.05 1.88 P < 0.05
Regulating synaptic membrane exocytosis protein 2 Q9EQZ7 Rims2 1.30 P < 0.05 1.47 P < 0.05
39S ribosomal protein L46, mitochondrial Q9EQI8 Mrpl46 0.67 P < 0.05 0.53 P < 0.05
NADH dehydrogenase [ubiquinone] iron-sulfur protein 3, mitochondrial Q9DCT2 Ndufs3 0.83 P < 0.05 1.48 P < 0.05
Methyltransferase-like 26 Q9DCS2 Mettl26 0.69 P < 0.05 2.42 P < 0.05
Eukaryotic translation initiation factor 3 subunit F Q9DCH4 Eif3f 0.74 P < 0.05 0.82 P < 0.05
28S ribosomal protein S11, mitochondrial Q9DCA2 Mrps11 0.81 P < 0.05 0.68 P < 0.05
NADH dehydrogenase [ubiquinone] 1 alpha subcomplex subunit 9, mitochondrial Q9DC69 Ndufa9 0.83 P < 0.05 1.47 P < 0.05
Cytochrome P450 2S1 Q9DBX6 Cyp2s1 0.74 P < 0.05 0.80 P < 0.05
Protein phosphatase 1 regulatory subunit 12A Q9DBR7 Ppp1r12a 1.29 P < 0.05 1.54 P < 0.05
Alpha-aminoadipic semialdehyde dehydrogenase Q9DBF1 Aldh7a1 0.77 P < 0.05 1.31 P < 0.05
Cap-specific mRNA (nucleoside-2'-O-)-methyltransferase 1 Q9DBC3 Cmtr1 0.83 P < 0.05 0.80 P < 0.05
Calponin-3 Q9DAW9 Cnn3 1.33 P < 0.05 0.70 P < 0.05
Glycine amidinotransferase, mitochondrial Q9D964 Gatm 0.80 P < 0.05 0.70 P < 0.05
Signal peptidase complex catalytic subunit SEC11C Q9D8V7 Sec11c 0.83 P < 0.05 0.68 P < 0.05
DENN domain-containing protein 10 Q9D8N2 Dennd10 0.64 P < 0.05 0.40 P < 0.05
Splicing factor U2AF 35 kDa subunit Q9D883 U2af1 0.73 P < 0.05 0.40 P < 0.05
EEF1A lysine methyltransferase 2 Q9D853 Eef1akmt2 1.33 P < 0.05 1.29 P < 0.05
Phospholysine phosphohistidine inorganic pyrophosphate phosphatase Q9D7I5 Lhpp 0.68 P < 0.05 0.64 P < 0.05
Ribose-phosphate pyrophosphokinase 1 Q9D7G0 Prps1 0.78 P < 0.05 1.38 P < 0.05
Isobutyryl-CoA dehydrogenase, mitochondrial Q9D7B6 Acad8 0.81 P < 0.05 1.30 P < 0.05
Synaptojanin-2-binding protein Q9D6K5 Synj2bp 0.73 P < 0.05 1.73 P < 0.05
PHD finger protein 6 Q9D4J7 Phf6 0.75 P < 0.05 0.56 P < 0.05
Protein tweety homolog 1 Q9D3A9 Ttyh1 0.82 P < 0.05 1.69 P < 0.05
ADP-ribosylation factor-like protein 2-binding protein Q9D385 Arl2bp 0.78 P < 0.05 0.51 P < 0.05
28S ribosomal protein S25, mitochondrial Q9D125 Mrps25 0.67 P < 0.05 0.51 P < 0.05
5-methylcytosine rRNA methyltransferase NSUN4 Q9CZ57 Nsun4 0.81 P < 0.05 0.82 P < 0.05
Peroxiredoxin-like 2A Q9CYH2 Prxl2a 0.75 P < 0.05 0.77 P < 0.05
Heterogeneous nuclear ribonucleoprotein A0 Q9CX86 Hnrnpa0 1.41 P < 0.05 0.71 P < 0.05
Peptidyl-prolyl cis-trans isomerase NIMA-interacting 4 Q9CWW6 Pin4 0.76 P < 0.05 0.51 P < 0.05
Mitochondrial fission process protein 1 Q9CRB8 Mtfp1 1.29 P < 0.05 1.69 P < 0.05
Methylsterol monooxygenase 1 Q9CRA4 Msmo1 0.64 P < 0.05 0.49 P < 0.05
Josephin-2 Q9CR30 Josd2 0.75 P < 0.05 1.52 P < 0.05
NADH dehydrogenase [ubiquinone] 1 alpha subcomplex subunit 6 Q9CQZ5 Ndufa6 1.28 P < 0.05 1.59 P < 0.05
Protein RER1 Q9CQU3 Rer1 0.70 P < 0.05 0.57 P < 0.05
Thioredoxin domain-containing protein 12 Q9CQU0 Txndc12 0.75 P < 0.05 0.56 P < 0.05
Protein transport protein Sec61 subunit beta Q9CQS8 Sec61b 0.58 P < 0.05 0.38 P < 0.05
Solute carrier family 25 member 46 Q9CQS4 Slc25a46 0.81 P < 0.05 1.38 P < 0.05
Coactosin-like protein Q9CQI6 Cotl1 0.80 P < 0.05 0.54 P < 0.05
CDGSH iron-sulfur domain-containing protein 2 Q9CQB5 Cisd2 0.81 P < 0.05 0.81 P < 0.05
39S ribosomal protein L49, mitochondrial Q9CQ40 Mrpl49 0.79 P < 0.05 0.70 P < 0.05
EKC/KEOPS complex subunit Tp53rk Q99PW4 Tp53rk 0.67 P < 0.05 0.33 P < 0.05
Long-chain-fatty-acid–CoA ligase ACSBG1 Q99PU5 Acsbg1 1.22 P < 0.05 1.32 P < 0.05
Tripartite motif-containing protein 12A Q99PQ1 Trim12a 1.29 P < 0.05 0.70 P < 0.05
Acyl-CoA desaturase 3 Q99PL7 Scd3 0.71 P < 0.05 0.67 P < 0.05
RAF proto-oncogene serine/threonine-protein kinase Q99N57 Raf1 1.43 P < 0.05 1.44 P < 0.05
BRCA1-associated protein Q99MP8 Brap 0.82 P < 0.05 0.70 P < 0.05
Protein dpy-30 homolog Q99LT0 Dpy30 0.76 P < 0.05 0.42 P < 0.05
Translation initiation factor eIF-2B subunit beta Q99LD9 Eif2b2 0.64 P < 0.05 0.39 P < 0.05
ER membrane protein complex subunit 3 Q99KI3 Emc3 0.81 P < 0.05 0.73 P < 0.05
Ubiquitin carboxyl-terminal hydrolase 11 Q99K46 Usp11 1.31 P < 0.05 0.81 P < 0.05
Diphosphomevalonate decarboxylase Q99JF5 Mvd 0.75 P < 0.05 0.33 P < 0.05
G-protein coupled receptor family C group 5 member B Q923Z0 Gprc5b 1.26 P < 0.05 1.25 P < 0.05
Calcium/calmodulin-dependent protein kinase type II subunit gamma Q923T9 Camk2g 0.83 P < 0.05 1.35 P < 0.05
tRNA modification GTPase GTPBP3, mitochondrial Q923K4 Gtpbp3 1.57 P < 0.05 0.68 P < 0.05
Protein arginine N-methyltransferase 3 Q922H1 Prmt3 0.78 P < 0.05 1.33 P < 0.05
ADP-ribose glycohydrolase MACROD1 Q922B1 Macrod1 0.80 P < 0.05 1.31 P < 0.05
Gap junction gamma-3 protein Q921C1 Gjc3 2.02 P < 0.05 2.61 P < 0.05
Vang-like protein 2 Q91ZD4 Vangl2 0.81 P < 0.05 0.64 P < 0.05
Egl nine homolog 1 Q91YE3 Egln1 0.82 P < 0.05 0.57 P < 0.05
ATP-dependent DNA helicase Q5 Q8VID5 Recql5 0.70 P < 0.05 0.42 P < 0.05
Voltage-dependent calcium channel gamma-8 subunit Q8VHW2 Cacng8 1.21 P < 0.05 1.74 P < 0.05
Transcription initiation factor TFIID subunit 12 Q8VE65 Taf12 0.56 P < 0.05 0.30 P < 0.05
Ganglioside-induced differentiation-associated protein 1-like 1 Q8VE33 Gdap1l1 0.81 P < 0.05 0.73 P < 0.05
Purine-rich element-binding protein gamma Q8R4E6 Purg 0.80 P < 0.05 0.78 P < 0.05
Heparan sulfate 2-O-sulfotransferase 1 Q8R3H7 Hs2st1 0.81 P < 0.05 0.58 P < 0.05
Protein C1orf43 homolog Q8R092 0.75 P < 0.05 0.77 P < 0.05
Complement C1q tumor necrosis factor-related protein 4 Q8R066 C1qtnf4 0.75 P < 0.05 0.66 P < 0.05
Microtubule-associated protein RP/EB family member 2 Q8R001 Mapre2 0.83 P < 0.05 0.74 P < 0.05
Protein LZIC Q8K3C3 Lzic 0.74 P < 0.05 0.43 P < 0.05
Very-long-chain (3R)-3-hydroxyacyl-CoA dehydratase 3 Q8K2C9 Hacd3 0.77 P < 0.05 0.69 P < 0.05
Membrane magnesium transporter 1 Q8K273 Mmgt1 0.77 P < 0.05 0.62 P < 0.05
COX assembly mitochondrial protein 2 homolog Q8K199 Cmc2 0.81 P < 0.05 1.28 P < 0.05
Hydroxymethylglutaryl-CoA synthase, cytoplasmic Q8JZK9 Hmgcs1 0.76 P < 0.05 0.39 P < 0.05
DNA polymerase theta Q8CGS6 Polq 0.82 P < 0.05 1.83 P < 0.05
Guanine nucleotide-binding protein G(olf) subunit alpha Q8CGK7 Gnal 1.55 P < 0.05 2.59 P < 0.05
Retinol dehydrogenase 13 Q8CEE7 Rdh13 0.60 P < 0.05 0.33 P < 0.05
Septin-10 Q8C650 Septin10 0.47 P < 0.05 0.22 P < 0.05
Calmodulin-regulated spectrin-associated protein 2 Q8C1B1 Camsap2 0.77 P < 0.05 0.74 P < 0.05
Rho-related GTP-binding protein RhoF Q8BYP3 Rhof 0.73 P < 0.05 0.48 P < 0.05
Choline transporter-like protein 2 Q8BY89 Slc44a2 0.79 P < 0.05 1.41 P < 0.05
Ethanolamine-phosphate phospho-lyase Q8BWU8 Etnppl 1.33 P < 0.05 1.80 P < 0.05
Gamma-secretase subunit APH-1A Q8BVF7 Aph1a 0.79 P < 0.05 0.31 P < 0.05
Lipid droplet-associated hydrolase Q8BVA5 Ldah 0.62 P < 0.05 0.48 P < 0.05
Ubiquitin carboxyl-terminal hydrolase 43 Q8BUM9 Usp43 0.82 P < 0.05 0.70 P < 0.05
Cilia- and flagella-associated protein 20 Q8BTU1 Cfap20 0.81 P < 0.05 0.54 P < 0.05
Inactive C-alpha-formylglycine-generating enzyme 2 Q8BPG6 Sumf2 0.82 P < 0.05 1.46 P < 0.05
Protein DPCD Q8BPA8 Dpcd 0.67 P < 0.05 0.34 P < 0.05
Protein FRA10AC1 homolog Q8BP78 Fra10ac1 0.81 P < 0.05 0.80 P < 0.05
Lysophosphatidic acid phosphatase type 6 Q8BP40 Acp6 1.55 P < 0.05 1.46 P < 0.05
Ubiquinone biosynthesis O-methyltransferase, mitochondrial Q8BMS4 Coq3 0.75 P < 0.05 1.84 P < 0.05
Eukaryotic translation initiation factor 4E type 2 Q8BMB3 Eif4e2 1.43 P < 0.05 0.53 P < 0.05
Heat shock 70 kDa protein 13 Q8BM72 Hspa13 0.70 P < 0.05 0.64 P < 0.05
Serine/arginine-rich splicing factor 7 Q8BL97 Srsf7 1.21 P < 0.05 0.65 P < 0.05
Serine/threonine-protein kinase SMG1 Q8BKX6 Smg1 1.65 P < 0.05 0.56 P < 0.05
Pumilio homolog 3 Q8BKS9 Pum3 0.75 P < 0.05 0.69 P < 0.05
Zinc finger CCCH domain-containing protein 14 Q8BJ05 Zc3h14 0.18 P < 0.05 0.60 P < 0.05
TBC1 domain family member 10B Q8BHL3 Tbc1d10b 1.21 P < 0.05 1.28 P < 0.05
Probable asparagine–tRNA ligase, mitochondrial Q8BGV0 Nars2 0.70 P < 0.05 0.60 P < 0.05
NIPA-like protein 3 Q8BGN5 Nipal3 0.69 P < 0.05 2.19 P < 0.05
Glycerophosphocholine cholinephosphodiesterase ENPP6 Q8BGN3 Enpp6 1.77 P < 0.05 2.12 P < 0.05
Serine/threonine-protein phosphatase 2A 55 kDa regulatory subunit B gamma isoform Q8BG02 Ppp2r2c 0.77 P < 0.05 0.65 P < 0.05
Beta-actin-like protein 2 Q8BFZ3 Actbl2 1.31 P < 0.05 0.69 P < 0.05
WD repeat-containing protein 82 Q8BFQ4 Wdr82 0.83 P < 0.05 0.66 P < 0.05
Mitofusin-1 Q811U4 Mfn1 0.82 P < 0.05 0.78 P < 0.05
U3 small nucleolar ribonucleoprotein protein MPP10 Q810V0 Mphosph10 0.73 P < 0.05 0.37 P < 0.05
28S ribosomal protein S10, mitochondrial Q80ZK0 Mrps10 0.72 P < 0.05 0.76 P < 0.05
Sorting nexin-32 Q80ZJ7 Snx32 0.82 P < 0.05 0.80 P < 0.05
Myomegalin Q80YT7 Pde4dip 0.81 P < 0.05 0.44 P < 0.05
Serine/threonine-protein phosphatase 1 regulatory subunit 10 Q80W00 Ppp1r10 0.59 P < 0.05 0.41 P < 0.05
Aldehyde dehydrogenase family 3 member B1 Q80VQ0 Aldh3b1 1.47 P < 0.05 1.79 P < 0.05
Tectonin beta-propeller repeat-containing protein 1 Q80VP0 Tecpr1 1.22 P < 0.05 1.31 P < 0.05
Sodium-dependent phosphate transporter 2 Q80UP8 Slc20a2 1.85 P < 0.05 1.52 P < 0.05
Ubiquitin-protein ligase E3C Q80U95 Ube3c 0.83 P < 0.05 0.83 P < 0.05
Cullin-9 Q80TT8 Cul9 1.29 P < 0.05 0.73 P < 0.05
DnaJ homolog subfamily C member 16 Q80TN4 Dnajc16 0.75 P < 0.05 0.67 P < 0.05
Nischarin Q80TM9 Nisch 1.21 P < 0.05 1.29 P < 0.05
Leucine-rich repeat and fibronectin type-III domain-containing protein 2 Q80TG9 Lrfn2 0.71 P < 0.05 0.72 P < 0.05
Synaptic vesicle membrane protein VAT-1 homolog-like Q80TB8 Vat1l 1.22 P < 0.05 1.34 P < 0.05
CUB and sushi domain-containing protein 3 Q80T79 Csmd3 0.69 P < 0.05 0.36 P < 0.05
Pleckstrin homology domain-containing family A member 6 Q7TQG1 Plekha6 1.27 P < 0.05 1.35 P < 0.05
Tubulin polymerization-promoting protein Q7TQD2 Tppp 1.24 P < 0.05 2.68 P < 0.05
Nucleosome assembly protein 1-like 4 Q78ZA7 Nap1l4 0.83 P < 0.05 0.66 P < 0.05
Purkinje cell protein 4-like protein 1 Q6W8Q3 Pcp4l1 1.20 P < 0.05 2.61 P < 0.05
F-box only protein 42 Q6PDJ6 Fbxo42 1.64 P < 0.05 1.61 P < 0.05
Armadillo-like helical domain-containing protein 3 Q6PD19 Armh3 0.81 P < 0.05 0.78 P < 0.05
Inositol hexakisphosphate kinase 1 Q6PD10 Ip6k1 0.77 P < 0.05 0.71 P < 0.05
Protein MTSS 2 Q6P9S0 Mtss2 1.31 P < 0.05 1.28 P < 0.05
FK506-binding protein 15 Q6P9Q6 Fkbp15 1.21 P < 0.05 0.75 P < 0.05
Structure-specific endonuclease subunit SLX4 Q6P1D7 Slx4 1.30 P < 0.05 0.41 P < 0.05
PILR alpha-associated neural protein Q6P1B3 Pianp 1.51 P < 0.05 1.70 P < 0.05
Rho GTPase-activating protein 21 Q6DFV3 Arhgap21 0.82 P < 0.05 1.26 P < 0.05
SID1 transmembrane family member 1 Q6AXF6 Sidt1 1.31 P < 0.05 1.50 P < 0.05
Centrosomal protein of 170 kDa Q6A065 Cep170 1.21 P < 0.05 0.74 P < 0.05
Pre-mRNA-splicing factor ISY1 homolog Q69ZQ2 Isy1 0.80 P < 0.05 0.69 P < 0.05
COMM domain-containing protein 3 Q63829 Commd3 0.83 P < 0.05 0.80 P < 0.05
Tumor protein D52 Q62393 Tpd52 1.44 P < 0.05 1.33 P < 0.05
Replication protein A 32 kDa subunit Q62193 Rpa2 0.71 P < 0.05 0.54 P < 0.05
Translocon-associated protein subunit delta Q62186 Ssr4 1.35 P < 0.05 0.74 P < 0.05
Dystroglycan Q62165 Dag1 0.83 P < 0.05 0.70 P < 0.05
Serum paraoxonase/arylesterase 2 Q62086 Pon2 0.49 P < 0.05 0.25 P < 0.05
28S ribosomal protein S31, mitochondrial Q61733 Mrps31 0.74 P < 0.05 0.77 P < 0.05
Inter-alpha-trypsin inhibitor heavy chain H2 Q61703 Itih2 0.82 P < 0.05 0.77 P < 0.05
E3 ubiquitin/ISG15 ligase TRIM25 Q61510 Trim25 0.69 P < 0.05 0.68 P < 0.05
Protein phosphatase 1 regulatory subunit 1B Q60829 Ppp1r1b 1.48 P < 0.05 2.61 P < 0.05
RAC-beta serine/threonine-protein kinase Q60823 Akt2 0.65 P < 0.05 0.49 P < 0.05
Src substrate cortactin Q60598 Cttn 1.31 P < 0.05 1.46 P < 0.05
G-protein coupled receptor-associated sorting protein 1 Q5U4C1 Gprasp1 1.25 P < 0.05 0.73 P < 0.05
DBF4-type zinc finger-containing protein 2 homolog Q5SS00 Zdbf2 0.58 P < 0.05 0.22 P < 0.05
Echinoderm microtubule-associated protein-like 6 Q5SQM0 Eml6 0.72 P < 0.05 1.68 P < 0.05
RNA-binding protein 27 Q5SFM8 Rbm27 1.50 P < 0.05 0.76 P < 0.05
Capping protein inhibiting regulator of actin dynamics Q5PR69 Crad 0.82 P < 0.05 0.51 P < 0.05
Neuralized-like protein 4 Q5NCX5 Neurl4 0.65 P < 0.05 0.54 P < 0.05
Sodium channel subunit beta-2 Q56A07 Scn2b 0.49 P < 0.05 4.21 P < 0.05
Capping protein, Arp2/3 and myosin-I linker protein 2 Q3V3V9 Carmil2 1.22 P < 0.05 1.76 P < 0.05
Transmembrane protein 237 Q3V0J1 Tmem237 0.60 P < 0.05 0.62 P < 0.05
Tau-tubulin kinase 2 Q3UVR3 Ttbk2 0.74 P < 0.05 0.67 P < 0.05
Protein FAM91A1 Q3UVG3 Fam91a1 0.77 P < 0.05 0.75 P < 0.05
Methyltransferase-like protein 17, mitochondrial Q3U2U7 Mettl17 1.41 P < 0.05 1.45 P < 0.05
Ubiquitin-conjugating enzyme E2 variant 3 Q3U1V6 Uevld 0.74 P < 0.05 0.77 P < 0.05
UDP-N-acetylhexosamine pyrophosphorylase-like protein 1 Q3TW96 Uap1l1 1.25 P < 0.05 1.24 P < 0.05
NLR family member X1 Q3TL44 Nlrx1 0.76 P < 0.05 1.46 P < 0.05
Son of sevenless homolog 2 Q02384 Sos2 0.76 P < 0.05 0.43 P < 0.05
Nucleoside diphosphate kinase B Q01768 Nme2 0.79 P < 0.05 0.52 P < 0.05
Proteasome subunit beta type-4 P99026 Psmb4 0.80 P < 0.05 0.82 P < 0.05
Phosphatidate cytidylyltransferase 1 P98191 Cds1 0.58 P < 0.05 0.50 P < 0.05
40S ribosomal protein S5 P97461 Rps5 0.83 P < 0.05 0.73 P < 0.05
Four and a half LIM domains protein 1 P97447 Fhl1 1.22 P < 0.05 1.22 P < 0.05
Lysosomal-trafficking regulator P97412 Lyst 1.43 P < 0.05 1.36 P < 0.05
DNA replication licensing factor MCM2 P97310 Mcm2 0.53 P < 0.05 0.13 P < 0.05
Isochorismatase domain-containing protein 2A P85094 Isoc2a 0.74 P < 0.05 1.90 P < 0.05
Syntaxin-4 P70452 Stx4 1.32 P < 0.05 1.23 P < 0.05
Ena/VASP-like protein P70429 Evl 0.78 P < 0.05 0.71 P < 0.05
Plexin-A2 P70207 Plxna2 0.75 P < 0.05 0.60 P < 0.05
Dynein light chain 1, cytoplasmic P63168 Dynll1 0.72 P < 0.05 0.64 P < 0.05
Thyroid hormone receptor alpha P63058 Thra 0.76 P < 0.05 0.64 P < 0.05
Calmodulin regulator protein PCP4 P63054 Pcp4 1.29 P < 0.05 3.61 P < 0.05
Cellular retinoic acid-binding protein 1 P62965 Crabp1 1.34 P < 0.05 0.81 P < 0.05
60S ribosomal protein L32 P62911 Rpl32 0.81 P < 0.05 0.54 P < 0.05
60S ribosomal protein L30 P62889 Rpl30 0.78 P < 0.05 0.52 P < 0.05
60S ribosomal protein L23a P62751 Rpl23a 0.81 P < 0.05 0.62 P < 0.05
Hippocalcin-like protein 1 P62748 Hpcal1 1.30 P < 0.05 0.71 P < 0.05
Ubiquitin-conjugating enzyme E2 H P62257 Ube2h 0.61 P < 0.05 0.44 P < 0.05
40S ribosomal protein S15a P62245 Rps15a 0.81 P < 0.05 0.64 P < 0.05
60S ribosomal protein L26 P61255 Rpl26 0.81 P < 0.05 0.61 P < 0.05
40S ribosomal protein S20 P60867 Rps20 0.76 P < 0.05 0.55 P < 0.05
Myocardin-related transcription factor B P59759 Mrtfb 1.21 P < 0.05 1.42 P < 0.05
SH3 domain-binding protein 1 P55194 Sh3bp1 0.74 P < 0.05 1.69 P < 0.05
Tropomodulin-1 P49813 Tmod1 0.64 P < 0.05 2.65 P < 0.05
Glutamate decarboxylase 1 P48318 Gad1 0.73 P < 0.05 1.44 P < 0.05
60S ribosomal protein L13 P47963 Rpl13 0.82 P < 0.05 0.65 P < 0.05
60S ribosomal protein L6 P47911 Rpl6 0.83 P < 0.05 0.64 P < 0.05
Signal transducer and activator of transcription 5B P42232 Stat5b 0.62 P < 0.05 0.50 P < 0.05
Tubulin–tyrosine ligase P38585 Ttl 0.60 P < 0.05 0.65 P < 0.05
CD81 antigen P35762 Cd81 0.58 P < 0.05 1.55 P < 0.05
Ras-related protein Rab-5C P35278 Rab5c 0.78 P < 0.05 0.63 P < 0.05
cAMP-dependent protein kinase type II-beta regulatory subunit P31324 Prkar2b 0.83 P < 0.05 0.80 P < 0.05
Progranulin P28798 Grn 1.40 P < 0.05 1.36 P < 0.05
X-ray repair cross-complementing protein 5 P27641 Xrcc5 0.75 P < 0.05 0.75 P < 0.05
26S proteasome non-ATPase regulatory subunit 7 P26516 Psmd7 0.77 P < 0.05 0.72 P < 0.05
Splicing factor U2AF 65 kDa subunit P26369 U2af2 1.79 P < 0.05 0.53 P < 0.05
Neuroendocrine convertase 2 P21661 Pcsk2 1.21 P < 0.05 1.25 P < 0.05
Neurofilament heavy polypeptide P19246 Nefh 1.52 P < 0.05 2.05 P < 0.05
Complement C1q subcomponent subunit B P14106 C1qb 1.20 P < 0.05 1.56 P < 0.05
Neuroendocrine protein 7B2 P12961 Scg5 1.22 P < 0.05 1.26 P < 0.05
Integrin beta-2 P11835 Itgb2 0.52 P < 0.05 3.11 P < 0.05
Cyclin-dependent kinase 1 P11440 Cdk1 0.81 P < 0.05 0.62 P < 0.05
Elongation factor 1-alpha 1 P10126 Eef1a1 0.79 P < 0.05 0.48 P < 0.05
Transmembrane protein 254c P0DN91 Tmem254c 0.69 P < 0.05 0.38 P < 0.05
WAS/WASL-interacting protein family member 3 P0C7L0 Wipf3 1.27 P < 0.05 1.75 P < 0.05
Superoxide dismutase [Mn], mitochondrial P09671 Sod2 0.74 P < 0.05 2.08 P < 0.05
Mast/stem cell growth factor receptor Kit P05532 Kit 0.77 P < 0.05 2.37 P < 0.05
NADH-ubiquinone oxidoreductase chain 2 P03893 Mtnd2 1.47 P < 0.05 2.65 P < 0.05
Cytochrome c oxidase subunit 3 P00416 mt-Co3 1.32 P < 0.05 1.44 P < 0.05
3-keto-steroid reductase/17-beta-hydroxysteroid dehydrogenase 7 O88736 Hsd17b7 0.76 P < 0.05 0.56 P < 0.05
7-dehydrocholesterol reductase O88455 Dhcr7 0.79 P < 0.05 0.46 P < 0.05
Metaxin-2 O88441 Mtx2 1.41 P < 0.05 1.60 P < 0.05
Electrogenic sodium bicarbonate cotransporter 1 O88343 Slc4a4 1.55 P < 0.05 1.74 P < 0.05
Transcription factor Sp3 O70494 Sp3 1.23 P < 0.05 0.70 P < 0.05
Homeobox protein PKNOX1 O70477 Pknox1 0.79 P < 0.05 1.38 P < 0.05
Tetraspanin-6 O70401 Tspan6 0.82 P < 0.05 0.63 P < 0.05
Stathmin-3 O70166 Stmn3 0.83 P < 0.05 0.59 P < 0.05
Transcription elongation factor SPT5 O55201 Supt5h 0.78 P < 0.05 0.69 P < 0.05
Barrier-to-autointegration factor O54962 Banf1 0.76 P < 0.05 0.35 P < 0.05
Syndecan-4 O35988 Sdc4 1.70 P < 0.05 2.53 P < 0.05
Cleavage and polyadenylation specificity factor subunit 2 O35218 Cpsf2 0.83 P < 0.05 0.55 P < 0.05
Lysosomal alpha-mannosidase O09159 Man2b1 0.82 P < 0.05 1.30 P < 0.05
Histone deacetylase 1 O09106 Hdac1 0.68 P < 0.05 0.63 P < 0.05
60 kDa SS-A/Ro ribonucleoprotein O08848 RO60 0.77 P < 0.05 0.61 P < 0.05
YjeF N-terminal domain-containing protein 3 F6W8I0 Yjefn3 0.70 P < 0.05 2.54 P < 0.05
A-kinase anchor protein 5 D3YVF0 Akap5 1.23 P < 0.05 1.51 P < 0.05
3'-5' RNA helicase YTHDC2 B2RR83 Ythdc2 1.23 P < 0.05 1.22 P < 0.05
CDGSH iron-sulfur domain-containing protein 3, mitochondrial B1AR13 Cisd3 1.27 P < 0.05 0.74 P < 0.05
Damage-control phosphatase ARMT1 A6H630 Armt1 0.79 P < 0.05 1.41 P < 0.05
Apical junction component 1 homolog A2AJA9 Ajm1 0.75 P < 0.05 1.41 P < 0.05
Oxysterol-binding protein-related protein 9 A2A8Z1 Osbpl9 1.29 P < 0.05 0.80 P < 0.05

3.4. Gene ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analysis of sevoflurane-related proteins

We used the DAVID database (https://david.ncifcrf.gov/home.jsp) for bioinformatics research, including GO and KEGG, to further determine the role of DEPs. The GO term is a collection of three primary ontologies: biological process (BP), molecular function (MF), and cellular component (CC), and GO functions of all DEPs have been annotated. We also performed a KEGG pathway analysis to identify the most important biochemical functions of identified DEPs.

For BP terms, the first three terms were lipid metabolic process (7.2%), translation (4.3%), and response to oxidative (2.3%), according to the percentage. The top 11 significantly enriched BP terms were translation, lipid metabolic process, cytoplasmic translation, regulation of neuron projection development, regulation of Golgi organization, response to oxidative stress, regulation of protein kinase A signaling, positive regulation of protein kinase activity, mitochondrial translation, modulation of synaptic transmission, and aerobic respiration (Figure 4A).

Figure 4.

Figure 4

GO and KEGG functional enrichment analyses of 433 differentially expressed proteins. (A) The first 11 enriched GO terms of biological process. (B) The first 10 enriched GO terms of molecular functions. (C) The first 10 enriched GO terms of cellular components. (D) Differentially expressed protein pathway enriched by KEGG pathway analysis. n = 5 mice/group. GO, Gene Ontology; KEGG, Kyoto Encyclopedia of Genes and Genomes.

For MF terms, protein binding (34.3%), nucleotide binding (13.9%), and RNA binding (8.3%) were ranked first. The top 10 significantly enriched MF terms were enzyme binding, structural constituent of ribosome, protein binding, nucleotide binding, tubulin binding, calmodulin binding, RNA binding, protein kinase binding, small GTPase binding, and ATP binding (Figure 4B).

For CC terms, we discovered that cytoplasm (47.6%), membrane (40.6%), and cytosol (29.7%) were the three most significant ratios. The top 10 CC terms that were significantly enriched were as follows: mitochondrion, cytoplasm, mitochondrial inner membrane, cytosol, ribosome, intracellular membrane-bounded organelle, endoplasmic reticulum, membrane, endosome, and lamellipodium (Figure 4C).

The top six enriched pathways with significant differences were as follows: Parkinson's disease, Alzheimer's disease, chemical carcinogenesis, reactive oxygen species (ROS), oxidative phosphorylation, pathways of neurodegeneration, multiple diseases, and ribosomes (Figure 4D).

3.5. Validation of CHGB, PTEN, MAP2c, and SOD2

We performed western blotting to validate the findings of the quantitative proteomics analysis (Figure 4). CHGB, PTEN, MAP2c, and SOD2 were selected based on their biological function (Supplementary Tables 14) and antibody availability. Compared with neonatal mice treated with oxygen, newborn mice subjected to multiple exposures of sevoflurane anesthesia exhibited elevated expression levels of CHGB, PTEN, and MAP2c protein in the cortex, whereas that of SOD2 was notably reduced (*P < 0.05, vs. P6 + control group). No statistically significant difference was detected between the adult groups (Figure 5).

Figure 5.

Figure 5

Differences in the expression of CHGB, PTEN, MAP2c, and SOD2 proteins in the cerebral cortex of neonatal and adult mice after multiple exposures to sevoflurane anesthesia. (A) Differences in the relative expression levels of (B) CHGB, (C) PTEN, (D) MAP2c, and (E) SOD2 in mice cerebral cortex at various ages and treatments. n = 5 mice/group. Results are expressed as mean ± standard deviation (SD). *P < 0.05 vs. P6 + control group, #P < 0.05 vs. P6 + Sevoflurane group. P6, postnatal day 6.

4. Discussion

Based on previous research (711), we discovered that newborn mice exhibit neurotoxicity after multiple exposures to sevoflurane anesthesia. In the current study, we employed quantitative proteomic analysis using TMTpro(16-plek) tagging and LC-MS/MS to identify 443 DEPs. Moreover, we confirmed that these DEPs are related to unique mechanisms induced following multiple sevoflurane exposure-induced neurotoxicity during development. It is important to emphasize that we selected TMTpro as a label owing to the benefit of concurrent measurement across numerous samples, which markedly minimized batch effects (15).

The DAVID database was used to annotate and evaluate the functions and pathways of the DEPs. Herein, sevoflurane could induce neurotoxicity by influencing major mechanisms of mitochondrial energy metabolism (16), tau phosphorylation (8), and neuroinflammation (17). Our results corroborate those of previous reports, as determined using the GO/KEGG analysis. KEGG pathway analysis revealed that pathways of neurodegenerative diseases, including Parkinson's disease and Alzheimer's disease, were significantly enriched. Moreover, ROS- and oxidative phosphorylation-related pathways play a pivotal role in developmental neurotoxicity induced by multiple exposures to sevoflurane anesthesia. ROS is a toxic byproduct of aerobic metabolism and an indicator of oxidative stress-induced cellular damage. Typically, ROS are produced by mitochondria within the cell, and mitochondrial dysfunction elevates ROS levels to enhance inflammatory processes. Electron transport in the respiratory chain mediates oxidative phosphorylation. Sevoflurane inhibits the mitochondrial complex of the electron transport chain (18), facilitating the generation of oversized ROS. Using the GO analysis, we also identified mitochondrion-related enriched terms. These results indicate that the disrupted mitochondrial energy metabolism plays a significant role in sevoflurane-induced developmental neurotoxicity.

Considering the availability of antibodies and the biological functions of the protein (Supplementary Table 1), we selected four DEPs for verification: CHGB, PTEN, MAP2c, and SOD2. Herein, we noted that expression levels of CHGB, PTEN, and MAP2c increased, whereas those of SOD2 decreased. The results of the western blotting analysis were consistent with the trends predicted by proteome analysis, which demonstrated the reliability of TMT-based quantitative proteomics analysis.

CHGB is known to be associated with neurodegenerative diseases, including schizophrenia and Parkinson's disease (19, 20). As a type of neuroendocrine secretory granule protein, CHGB plays a key role in the regulated secretory pathway, impacting the secretion of trophic factors that modulate synaptic maturation of developing neurons (21), and is involved in the regulation of synaptic plasticity, which is related to memory formation (22). Combined with our findings exhibited in the BP of enriched GO terms (Figure 4A), multiple exposures to sevoflurane anesthesia could induce dysfunctional synaptic transmission in neonatal mice by increasing CHGB expression. PTEN protein is known to play a potential role in regulating the structure and plasticity of neurons, which hinders the Akt/mTOR signaling pathway to decrease the growth and proliferation of neurons and the activation of autophagy. In neonatal mice exposed to sevoflurane anesthesia, elevated PTEN expression may indicate neuronal loss in key brain regions that mediate cognitive function during neurodevelopment, and excessive activation of autophagy leads to autophagic programmed cell death (23, 24). The observed alterations in PTEN expression are consistent with several previous studies (25, 26). MAP2 exhibits microtubule stabilization activities that involve neurogenesis, morphogenesis, and migration for the development of axons and dendrites. MAP2 has three phenotypes: MAP2c (70 kDa), MAP2a, and MAP2b (both 280 kDa). MAP2a and MAP2b are expressed in the brains of adult mice but not newborn pups, and neonatal mice exhibit low MAP2b expression and abundant levels of MAP2c. MAP2c continues to decrease in abundance until adulthood (27). We selected MAP2c to verify quantitative proteomics owing to its specific expression during the newborn stage. Tau is expressed abundantly in neonatal mice when compared with that in adult mice, and some key phosphorylated-tau sites that detach from microtubules are increased in newborn mice exposed to sevoflurane anesthesia (8, 28). MAP2c and tau compete for binding sites, which is mediated by several factors (29). Therefore, under sevoflurane anesthesia, increased MAP2c brain expression may be influenced by elevated tau in neonatal mice, which could be a compensatory mechanism to maintain microtubule stability. SOD2, an enzyme belonging to the iron/manganese superoxide dismutase family and involved in the mitochondrial catabolic pathway, converts the superoxide anion to hydrogen peroxide, and the former is a potentially damaging product to the brain. The loss of SOD2 plays a critical role in the progression of neurodegenerative diseases (30, 31). Herein (32), the protein expression of SOD2 was attenuated in the hippocampus of neonatal mice exposed to 3% sevoflurane for 4 h. In addition, mitochondrion-related mechanisms are highly associated with sevoflurane-induced developmental neurotoxicity. Consequently, reduced SOD2 protein expression in newborn pups with multiple exposures to sevoflurane may result in elevated superoxide anion oxidation and oxidative stress damage in the brain.

In summary, we examined the mechanism underlying sevoflurane-induced neurotoxicity in newborn mice using TMT labeling and LS-MS/MS. Bioinformatic analysis was applied to identify DEPs, and we underlined the possibility of DNA damage through the mRNA surveillance pathway as a mechanism of sevoflurane-induced developmental neurotoxicity. Multiple sevoflurane exposures can cause brain damage and cognitive deficits in newborn mice, mediated via elevated levels of CHGB, PTEN, and MAP2c protein expression and reduced SOD2 expression. Our findings shed light on the mechanisms underlying the neurotoxicity induced by multiple exposures to sevoflurane anesthesia during development.

Data availability statement

The original contributions presented in the study are publicly available. This data can be found at: ProteomeXchange, http://www.proteomexchange.org/, PXD037294.

Ethics statement

All studies were approved by the Animal Experimental Ethics Committee at Tianjin Medical University General Hospital in Tianjin, China (Approval No. IRB2021-DWFL-210).

Author contributions

JF, HL, and YZ performing all experiments, analyzing the data, and writing the original draft. YYa and XZ prepared the figures. YaYu conceived the study and reviewed the manuscript. YoYu supervised the study. All authors have read and approved the final version of the manuscript.

Acknowledgments

We would like to give our sincere gratitude to the editor and reviewers for their constructive comments.

Footnotes

Funding

This study was supported by the National Natural Science Foundation of China (Grant Numbers 82001149 and 82072150), Tianjin Natural Science Foundation (Grant Number 20JCQNJC01050), Tianjin Education Commission for Higher Education Science and Technology Development Fund (Grant Number 2019KJ201), and Tianjin Research Innovation Project for Postgraduate Students (Grant Number 2021YJSS158).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fneur.2022.1056947/full#supplementary-material

References

  • 1.Albayram O, Herbert MK, Kondo A, Tsai CY, Baxley S, Lian X, et al. Function and regulation of tau conformations in the development and treatment of traumatic brain injury and neurodegeneration. Cell Biosci. (2016) 6:59. 10.1186/s13578-016-0124-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Sun M, Xie Z, Zhang J, Leng Y. Mechanistic insight into sevoflurane-associated developmental neurotoxicity. Cell Biol Toxicol. (2021) 21:9677. 10.1007/s10565-021-09677-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.DiMaggio C, Sun LS, Kakavouli A, Byrne MW, Li G. A retrospective cohort study of the association of anesthesia and hernia repair surgery with behavioral and developmental disorders in young children. J Neurosurg Anesthesiol. (2009) 21:286–91. 10.1097/ANA.0b013e3181a71f11 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Flick RP, Katusic SK, Colligan RC, Wilder RT, Voigt RG, Olson MD, et al. Cognitive and behavioral outcomes after early exposure to anesthesia and surgery. Pediatrics. (2011) 128:e1053–61. 10.1542/peds.2011-0351 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Wilder RT, Flick RP, Sprung J, Katusic SK, Barbaresi WJ, Mickelson C, et al. Early exposure to anesthesia and learning disabilities in a population-based birth cohort. Anesthesiology. (2009) 110:796–804. 10.1097/01.anes.0000344728.34332.5d [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.McCann ME, de Graaff JC, Dorris L, Disma N, Withington D, Bell G, et al. Neurodevelopmental outcome at 5 years of age after general anaesthesia or awake-regional anaesthesia in infancy (GAS): an international, multicentre, randomised, controlled equivalence trial. Lancet. (2019) 393:664–77. 10.1016/S0140-6736(18)32485-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Yu Y, Yang M, Zhuang X, Pan J, Zhao Y, Yu Y. Effects of toxic apolipoprotein E fragments on Tau phosphorylation and cognitive impairment in neonatal mice under sevoflurane anesthesia. Brain Behav. (2022) 12:e2702. 10.1002/brb3.2702 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Yu Y, Yang Y, Tan H, Boukhali M, Khatri A, Yu Y, et al. Tau contributes to sevoflurane-induced neurocognitive impairment in neonatal mice. Anesthesiology. (2020) 133:595–610. 10.1097/ALN.0000000000003452 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Yang M, Tan H, Zhang K, Lian N, Yu Y, Yu Y. Protective effects of Coenzyme Q10 against sevoflurane-induced cognitive impairment through regulating apolipoprotein E and phosphorylated Tau expression in young mice. Int J Dev Neurosci. (2020) 2020:jdn.10041. 10.1002/jdn.10041 [DOI] [PubMed] [Google Scholar]
  • 10.Li Y, Zhang L, Wang C, Tang X, Chen Y, Wang X, et al. Sevoflurane-induced learning deficits and spine loss via nectin-1/corticotrophin-releasing hormone receptor type 1 signaling. Brain Res. (2019) 1710:188–98. 10.1016/j.brainres.2018.12.010 [DOI] [PubMed] [Google Scholar]
  • 11.Yang Y, Liang F, Gao J, Dong Y, Zhang Y, Yang G, et al. Testosterone attenuates sevoflurane-induced tau phosphorylation and cognitive impairment in neonatal male mice. Br J Anaesth. (2021) 127:929–41. 10.1016/j.bja.2021.08.028 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Tang W, Dong M, Teng F, Cui J, Zhu X, Wang W, et al. TMT-based quantitative proteomics reveals suppression of SLC3A2 and ATP1A3 expression contributes to the inhibitory role of acupuncture on airway inflammation in an OVA-induced mouse asthma model. Biomed Pharmacother. (2021) 134:111001. 10.1016/j.biopha.2020.111001 [DOI] [PubMed] [Google Scholar]
  • 13.Lian N, Shen M, Zhang K, Pan J, Jiang Y, Yu Y, et al. Drinking hydrogen-rich water alleviates chemotherapy-induced neuropathic pain through the regulation of gut microbiota. J Pain Res. (2021) 14:681–91. 10.2147/JPR.S288289 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Park TJ, Park JH, Lee GS, Lee JY, Shin JH, Kim MW, et al. Quantitative proteomic analyses reveal that GPX4 downregulation during myocardial infarction contributes to ferroptosis in cardiomyocytes. Cell Death Dis. (2019) 10:835. 10.1038/s41419-019-2061-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Li J, Van Vranken JG, Pontano Vaites L, Schweppe DK, Huttlin EL, Etienne C, et al. TMTpro reagents: a set of isobaric labeling mass tags enables simultaneous proteome-wide measurements across 16 samples. Nat Methods. (2020) 17:399–404. 10.1038/s41592-020-0781-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Li M, Guo J, Wang H, Li Y. Involvement of mitochondrial dynamics and mitophagy in sevoflurane-induced cell toxicity. Oxid Med Cell Longev. (2021) 2021:6685468. 10.1155/2021/6685468 [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
  • 17.Huang H, Hu C, Xu L, Zhu X, Zhao L, Min J. The effects of hesperidin on neuronal apoptosis and cognitive impairment in the sevoflurane anesthetized rat are mediated through the PI3/Akt/PTEN and nuclear factor-kappaB (NF-kappaB) signaling pathways. Med Sci Monit. (2020) 26:e920522. 10.12659/MSM.920522 [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
  • 18.Hanley PJ, Ray J, Brandt U, Daut J. Halothane, isoflurane and sevoflurane inhibit NADH:ubiquinone oxidoreductase (complex I) of cardiac mitochondria. J Physiol. (2002) 544:687–93. 10.1113/jphysiol.2002.025015 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Shin JG, Kim JH, Park CS, Kim BJ, Kim JW, Choi IG, et al. Gender-specific associations between CHGB genetic variants and schizophrenia in a Korean population. Yonsei Med J. (2017) 58:619–25. 10.3349/ymj.2017.58.3.619 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Wen G, Pang H, Wu X, Jiang E, Zhang X, Zhan X. Proteomic characterization of secretory granules in dopaminergic neurons indicates chromogranin/secretogranin-mediated protein processing impairment in Parkinson's disease. Aging. (2021) 13:20335–58. 10.18632/aging.203415 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Dominguez N, van Weering JRT, Borges R, Toonen RFG, Verhage M. Dense-core vesicle biogenesis and exocytosis in neurons lacking chromogranins A and B. J Neurochem. (2018) 144:241–54. 10.1111/jnc.14263 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Tiwari NK, Sathyanesan M, Kumar V, Newton SS. A comparative analysis of erythropoietin and carbamoylated erythropoietin proteome profiles. Life. (2021) 11:359. 10.3390/life11040359 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Chen CY, Chen J, He L, Stiles BL. PTEN: tumor suppressor and metabolic regulator. Front Endocrinol. (2018) 9:338. 10.3389/fendo.2018.00338 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Xue H, Xu Y, Wang S, Wu ZY, Li XY, Zhang YH, et al. Sevoflurane post-conditioning alleviates neonatal rat hypoxic-ischemic cerebral injury via Ezh2-regulated autophagy. Drug Des Devel Ther. (2019) 13:1691–706. 10.2147/DDDT.S197325 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Liu T, Dong X, Wang B, Zhang S, Bai J, Ma W, et al. Silencing of PTEN inhibits the oxidative stress damage and hippocampal cell apoptosis induced by Sevoflurane through activating MEK1/ERK signaling pathway in infant rats. Cell Cycle. (2020) 19:684–96. 10.1080/15384101.2020.1717041 [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
  • 26.Li X, Wu Z, Zhang Y, Xu Y, Han G, Zhao P. Activation of autophagy contributes to sevoflurane-induced neurotoxicity in fetal rats. Front Mol Neurosci. (2017) 10:432. 10.3389/fnmol.2017.00432 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Garner CC, Matus A. Different forms of microtubule-associated protein 2 are encoded by separate mRNA transcripts. J Cell Biol. (1988) 106:779–83. 10.1083/jcb.106.3.779 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Dong Y, Liang F, Huang L, Fang F, Yang G, Tanzi RE, et al. The anesthetic sevoflurane induces tau trafficking from neurons to microglia. Commun Biol. (2021) 4:560. 10.1038/s42003-021-02047-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Sontag JM, Nunbhakdi-Craig V, White CL, 3rd, Halpain S, Sontag E. The protein phosphatase PP2A/Balpha binds to the microtubule-associated proteins Tau and MAP2 at a motif also recognized by the kinase Fyn: implications for tauopathies. J Biol Chem. (2012) 287:14984–93. 10.1074/jbc.M111.338681 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Fracassi A, Marcatti M, Zolochevska O, Tabor N, Woltjer R, Moreno S, et al. Oxidative damage and antioxidant response in frontal cortex of demented and nondemented individuals with Alzheimer's neuropathology. J Neurosci. (2021) 41:538–54. 10.1523/JNEUROSCI.0295-20.2020 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Lin C-H, Wei P-C, Chen C-M, Huang Y-T, Lin J-L, Lo Y-S, et al. Lactulose and melibiose attenuate MPTP-induced Parkinson's disease in mice by inhibition of oxidative stress, reduction of neuroinflammation and up-regulation of autophagy. Front Aging Neurosci. (2020) 12:226. 10.3389/fnagi.2020.00226 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Yang F, Zhang Y, Tang Z, Shan Y, Wu X, Liu H. Hemin treatment protects neonatal rats from sevoflurane-induced neurotoxicity via the phosphoinositide 3-kinase/Akt pathway. Life Sci. (2020) 242:117151. 10.1016/j.lfs.2019.117151 [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Data Availability Statement

The original contributions presented in the study are publicly available. This data can be found at: ProteomeXchange, http://www.proteomexchange.org/, PXD037294.


Articles from Frontiers in Neurology are provided here courtesy of Frontiers Media SA

RESOURCES