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Proteomics Study on Nonallergic Hypersensitivity Induced by Compound 4880 and Ovalbumin

Abstract

Nonallergic hypersensitivity reaction (NHR) accounts for more than 77% of all immune-mediated immediate hypersensitivity reactions and has become a serious threat to public health. Here, proteomics was used to study the NHR mechanism of two typical substances, the compound 4880 and ovalbumin. Twelve different proteins were suggested as potential biomarkers for examining the NHR mechanism, and our results revealed that the mechanism mainly encompassed 2 processes, i.e., generation and effect processes. The generation process could be classified as direct stimulation, complement (classical and alternative), coagulation, kallikrein-kinin, and integrated pathways. Thus glutathione peroxidase 1, terminal complement complex (complement factor 4d and Bb), coagulation 13, kininogen-1, and IgE could be used as candidate biomarkers for the indication of the corresponding pathways respectively, the proteins were further confirmed by ELISA. And the effect process was mainly composed of histamine as well as proteins such as DCD and MYLPF, which could be used as important indices for the symptoms of NHR. Our study differs from previous studies in that C4880 was found to not only be involved in the direct stimulation pathway, but also in the activated complement and kallikrein-kinin pathways through the coagulation pathway. We also report for the first time that ovalbumin-induced NHR could be a combination of the coagulation, classical complement, and integrated pathways.

Introduction

Nonallergic hypersensitivity (pseudoallergy or idiosyncratic) is a nonimmune hypersensitivity reaction that mimics allergic reactions. The first "anaphylactoid" phenomenon was discovered in 1920 when Karsner [1] intravenously injected colloidal substances in humans and induced anaphylaxis-like symptoms. The typical anaphylactoid reaction was confirmed in the 1990s after intravenous administration of an oil adjuvant vaccine to cattle, and further research indicated that it was caused by its auxiliary Tween-80 and not initiated or mediated by pre-existing IgE antibodies [2]. Subsequently, a series of substances including radiologic contrast agents, non-steroidal anti-inflammatory drugs, analgesics, liposomes, micelles, and vitamin K injection were found to produce anaphylactoid reactions [35]. According to revised terminology from 2003, the European Academy of Allergy and Clinical Immunology has suggested that each condition should be categorized as allergic or nonallergic, and terms that are no longer in use are idiosyncrasy (now hypersensitivity), pseudoallergy (now nonallergic hypersensitivity), and anaphylactoid reaction (now nonallergic anaphylaxis). Nonallergic hypersensitivity reaction (NHR) is generally recognized as occurring after the first exposure to antigen and not mediated by pre-existing IgE antibodies, and accounts for more than 77% of all immune-mediated immediate hypersensitivity reactions [6]. The mechanism underlying NHRs has been investigated and 3 pathways, encompassing mast cells directly stimulated by antigens [7], activation of the coagulation sequence [8], and the complement pathway [9], have been proposed. However, most of these studies were primarily focused on the effector substances such as histamine and tryptase [5, 10, 11], and the underlying mechanism is still not completely clear. It is generally known that blood proteins are involved in NHRs; thus, proteomics could be more conducive to revealing the mechanism of NHRs.

Ovalbumin (OVA) has commonly been used as a positive control for type I anaphylactic reactions and can also induce NHRs [12], but its mechanism of action has not been studied. Compound 4880 (C4880) is well recognized for its ability to induce mast cell-dependent, nonspecific anaphylactoid reactions [7]. In addition, due to their susceptibility, brown Norway (BN) rats have been selected as an ideal animal for the evaluation of NHRs [13]. Thus, the NHR mechanisms of BN rats induced by C4880 or OVA were studied for the first time by comprehensive application of proteomics. The objective of the work presented here was to address the following problems: (1) identification of different blood proteins related to NHRs, (2) the differences in the NHR mechanisms between C4880 and OVA, and (3) the exploration of potential biomarkers for mechanistic analysis of NHR-inducing substances.

Materials and Methods

Reagents and Materials

The assay kit for histamine was purchased from USCN Life Science Inc. (Wuhan, China). The assay kits for immunoglobulin E (IgE), glutathione peroxidase 1 (Gpx1), coagulation factor 13 (F13), kininogen-1 (Kng1), complement factor Bb (Bb), complement factor C4d (C4d), and terminal complement complex (Sc5b9) were purchased from Nanjing Jiancheng Bioengineering Institute (Nanjing, China). C4880 and OVA were obtained from Sigma-Aldrich (St. Louis, MO, USA). Ultrapure water was prepared with a Milli-Q water purification system (Millipore, France).

Animal Experiments and Sample Collection

Male BN rats, 200 ± 20 g in weight, were purchased from WeiTongLiHua Co. (Beijing, China), laboratory animal license SCXK (Army): 2012–0001. The animals were kept under SPF laboratory conditions (Center for Animal Experiments of Liaoning University of Traditional Chinese Medicine, Shenyang, China) and received a standard laboratory diet and filtered tap water ad libitum, and cared daily by animal resource Centre. All animal procedures were approved by Liaoning Provincial Animal Welfare and Care Guidelines in accordance with the National Institute of Health’s guidelines regarding the principles of animal care (2004). The experimental animals were housed under the above conditions for a 1-week acclimation period. Special care was taken to minimize animal discomfort during all procedures. The condition of the experimental rats was monitored every one minutes after injection. At the end of the treatment rats were sacrificed by cervical dislocation under general anesthesia induced by hydrate anesthesia. For the one animal that died during the study, pentobarbital was used to anesthetize before it died.

According to the results of preliminary experiments, BN rats were randomly divided into 6 groups, 8 rats per group: control groups (Con_1 and Con_2, saline), C4880 groups (C4880_1 and C4880_2, 10 mg/kg), OVA groups (OVA_1 and OVA_2, 400 mg/kg). Con_2, C4880_2, and OVA_2 were biological replicates. Subsequently, the corresponding test substances (filtered through 0.22 μm pore size sterile filters) were administered intravenously into the BN rats of each group and controls received the same volume of saline; the injection was completed in 20 s. Anaphylactic symptoms were observed in the BN rats 30 min after injection. Symptoms were evaluated by using a scoring system described by Li et al. [14] and the immune toxicity of traditional Chinese medicine, natural medicine (allergic, light allergic reaction) technology guidelines for research as follows: 0, no abnormal reaction; 1, trembling, scratching, and rubbing around the nose; 2, sneezing, coughing, puffiness around the eyes and the mouth, shortness of breath; 3, dyspnea, wheezing, unsteady gait, cyanosis around the mouth and the tail, myasthenia of limbs, convulsions, spasm, rotation, tidal breathing; 4, death.

Thirty minutes after injection, the animals were anesthetized by pentobarbital and blood samples were obtained and collected in chilled tubes containing EDTA-K2 from abdominal aorta, and then centrifuged at 3000 × g (10 min, 4°C) to obtain plasma. Aliquots (1.5 mL) of plasma from each rat were collected separately in tubes for proteomics analysis, and then all aliquots were stored at −80°C until analysis.

Proteomics

Protein preparation.

To reduce the complexity of samples, the highly abundant proteins were depleted using ProteoMinerTM Kits (Bio-Rad Laboratories, Hercules, CA, USA) according to the manufacturer’s protocol. Samples were eluted in Lysis buffer (7 M Urea, 2 M Thiourea, 4% CHAPS, 40 mM Tris-HCl, pH 8.5) and reduced with 10 mM DTT (final concentration) at 56°C for 1h, followed by alkylation with 55 mM IAM (final concentration) in the darkroom for 1 h. The reduced and alkylated protein mixtures were precipitated by adding 4 × volume of chilled acetone at -20°C overnight. After centrifugation at 4°C, 30,000 × g, the pellet was dissolved in 0.5 M TEAB (Applied Biosystems, Milan, Italy) and sonicated in ice. After centrifuging at 30,000 × g at 4°C, an aliquot of the supernatant was taken for determination of protein concentration and purity by Bradford method and SDS-PAGE. The proteins in the supernatant were kept at -80°C for further analysis. (The results are shown in S1 and S2 Tables, and S1 Fig)

The protein preparation was performed as previously described with minor modification [15, 16]. Briefly, the plasma samples were crushed into powder in liquid nitrogen and extracted with lysis buffer (7 M urea, 2 M thiourea, 4% CHAPS, 40 mM Tris-HCl, pH 8.5) containing 1 mM PMSF and 2 mM EDTA (final concentrations). Then, 10 mM DTT (final concentration) was added to the samples for 5 min and the resulting suspension was sonicated at 200 W for 15 min, and then centrifuged at 30,000 × g (4°C, 15 min) to provide the supernatant, which was mixed with 5 volumes of chilled acetone containing 10% (v/v) trichloroacetic acid and incubated at −20°C overnight. After centrifugation, the supernatant was discarded and chilled acetone was used to wash the precipitate three times. Then, the resulting air-dried pellets were dissolved in lysis buffer (7 M urea, 2 M thiourea, 4% NP40, 20 mM Tris-HCl, pH 8.0–8.5) and sonicated, centrifuged, and then 10 mM DTT (final concentration) was added to reduce the proteins at 56°C for 1 h. Subsequently, the cysteines were blocked by 55 mM iodoacetamide (final concentration) for 1 h in total darkness. The proteins were precipitated with 5 volumes of chilled acetone at −20°C for 2 h. After centrifugation at 30,000 × g and 4°C, the supernatants were discarded and 500 μL 0.5 M tetraethylammonium bromide (Applied Biosystems, Milan, Italy) was used to dissolve the air-dried pellets, which were sonicated for 15 min at 200 W. Finally, samples were centrifuged at 30,000 × g (4°C, 15 min). The supernatant was quantified using the Bradford method. The proteins in the supernatant were stored at −80°C for further analysis.

iTRAQ labeling and SCX fractionation.

The iTRAQ assay was the same as that used in a previous study [17]. Briefly, samples were labeled with the iTRAQ tags as follows: Sample Con_1 (113 tag), Sample C4880_1 (117 tag), Sample OVA_1 (121 tag), Sample Con_2 (115 tag), Sample C4880_2 (119 tag), and Sample OVA_2 (114 tag). The labeled peptide mixtures were incubated for 2 h at room temperature, and then pooled and dried by vacuum centrifugation.

SCX chromatography with an LC-20AB HPLC Pump system (Shimadzu, Kyoto, Japan) was used to purify and separate the peptide mixtures. The iTRAQ-labeled peptide mixtures were dissolved in 4 mL buffer A (25 mM NaH2PO4 in 25% acetonitrile (ACN), pH 2.7) and loaded onto a 4.6 × 250 mm Ultremex SCX column containing 5-μm particles (Phenomenex, Torrance, CA, USA). The peptides were eluted at a flow rate of 1 mL/min using buffers A and B (25 mM NaH2PO4, 1 M KCl in 25% ACN, pH 2.7). The gradient program was as follows: 0–10 min, 0% B; 10–37 min, 5% B to 60% B; 37–38 min, 60% B to 100% B; 38–39 min, 100% B; 39–40 min, 100% B to 0% B; 40–50 min, 0% B. The fractions were collected every 1 min while measuring the absorbance at 214 nm. A Strata X C18 column (Phenomenex) was used to desalt the 20 fractions, which were then dried under vacuum.

LC-ESI-MS/MS analysis based on Triple TOF 5600.

The LC-ESI-MS/MS analysis was conducted as previously described [17] with minor modification. Briefly, buffer A (5% ACN, 0.1% formic acid) was used to dissolve each fraction, and the fractions were centrifuged at 20,000 × g (10 min): 0.5 μg/μL on average was the final concentration of peptide. Supernatant (10 μL) was loaded on an LC-20AD nanoHPLC (Shimadzu) and the peptides were eluted at 300 nL/min using buffer A and B (95% ACN, 0.1% formic acid). The gradient program was as follows: 0–35 min, 2% B to 35% B; 35–40 min, 35% B to 60% B; 40–42 min, 60% B to 80% B; 42–46 min, 80% B; 46–47 min, 80% B to 5% B.

The TripleTOF 5600 System (AB SCIEX, Concord, Canada) fitted with a Nanospray III source (AB SCIEX) and a pulled quartz tip as the emitter (New Objectives, Woburn, MA, USA) was used to acquire data and the TF 1.6 Analyst was used to control the AB Sciex 5600. The conditions were as follows: ion spray voltage, 2.5 kV; curtain gas, 30 psi; nebulizer gas, 15 psi; interface heater temperature, 150°C; TOF MS scans, greater than 30,000 FWHM; for IDA, survey scans, 250 ms (30 product ion scans were collected if exceeding a threshold of 120 counts/s) with a 2+ to 5+ charge-state; total cycle time, 3.3 s; Q2 transmission window, 100 Da for 100%; pulser frequency value, 11 kHz; sweeping collision energy, 35 ± 5 eV; dynamic exclusion, 1/2 of peak width (15 s); and then the precursor was refreshed off the exclusion list.

Data analysis.

The Mascot search engine (Matrix Science, London, UK; version 2.3.02) was used to query against Uniprot_Rat database containing 36508 sequences (http://www.uniprot.org/uniprot/?query=taxonomy%3ARattus&sort=score, 2015-11-18) to identify proteins.

For protein identification, the parameters of Mascot were set as follows: intact peptide mass tolerance, 0.05 Da; fragmented ions, 0.1 Da; trypsin digests, allowance for one missed cleavage; potential variable modifications, Gln -> pyro-Glu (N-term Q), Oxidation (M), Deamidated (NQ); fixed modifications, Carbamidomethyl (C), iTRAQ8plex (N-term), iTRAQ8plex (K); charge states of peptides, +2 and +3. Specifically, an automatic decoy database search was performed in Mascot by choosing the decoy checkbox in which a random sequence database is generated and tested for raw spectra as well as the real database. At least one unique peptide had to be identified with 95% confidence to reduce the probability of false peptides.

For protein quantitation, it was required that a protein contains at least two unique peptides. The p-value and quantitative protein ratios were weighted and normalized by the median ratio in Mascot. Ratios with p-values < 0.05 and fold changes > 1.2 were considered significant.

The Blast2GO program was run against the non-redundant protein database (NCBI) to conduct the functional annotations of the proteins. The KEGG database (http://www.genome.jp/kegg/) and the COG database (http://www.ncbi.nlm.nih.gov/COG/) were used to classify and group these identified proteins.

ELISA assay

BN rats were randomly divided into the following 3 groups with 10 rats per group: control, C4880, and OVA. The experimental procedure was identical to that used in section (Animal Experiments and Sample Collection), and the plasma of each rat was collected into tubes and stored at −80°C until analysis. Histamine, IgE, Gpx1, F13, Kng1, Bb, C4d, and Sc5b9 levels were then determined by using ELISA kits following the manufacturers’ instructions.

Statistical analysis

All values are expressed as means ± SD. The significance of differences among the means of the C4880, OVA, and control groups was compared by one-way ANOVA followed by Dunnett method using the Statistical Package for Social Science program (SPSS 20.0, Chicago, IL, USA). The significance threshold was set at p < 0.05 for this test.

Results

Animal behavior study

The symptoms of BN rats in control groups were regarded as normal. Those of BN rats in the C4880 group showed dyspnea, unsteady gait, myasthenia of limbs, convulsions, spasm, and death. The BN rats in the OVA group exhibited trembling, scratching of the nose, and shortness of breath. The scores for each group are shown in Table 1, and the results indicate that the rats in the OVA and C4880 groups exhibited serious NHR.

Proteomics study

Rat plasma proteome and its functional categories.

Information from Con_1, C4880_1 and OVA_1 and their biological replicates (Con_2, C4880_2 and OVA_2) were analyzed using Mascot. The total number of distinct peptides identified by Mascot was 10585, yielding 1987 proteins (S3 Table). The false discovery rate of protein identification obtained by Mascot is 1.6%. Fig 1 shows the number of peptides identified in a protein. These results clearly show that 40–42% of the proteins were identified by a single peptide, more than 50% of the proteins were identified by at least two distinct peptides, and approximately 11% of the proteins were identified by more than eleven peptides and these were proteins in higher abundance.

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Fig 1. The number of distinct peptides identified in a protein.

The peptides were identified using Mascot, based on a 95% confidence level.

https://doi.org/10.1371/journal.pone.0148262.g001

Fig 2 shows the functional categories of the 1987 proteins identified in this study. The proteins that were involved in binding and catalytic activity were 49.25% and 25.40%, respectively, due to metabolism occurring in the plasma. The remaining proteins included regulatory enzymes, structural molecules, transporters, receptors, molecular transducers, antioxidants, protein-binding transcription factors, chemoattractants, and regulators of channel activity.

Differentially expressed proteins.

Only the proteins identified in experiment 1 (Con_1, C4880_1, and OVA_1 groups) and the biological replicate experiment 2 (Con_2, C4880_2, and OVA_2 groups) with ratios showing p < 0.05 and fold changes > 1.2 were considered differentially expressed proteins. Comparing the 167 proteins identified in Con_1_VS_C4880_1 with the 217 proteins identified in the biological replicate (Con_2_VS_C4880_2), there were 96 differentially expressed proteins identified in the C4880 group. Comparing the 163 proteins identified in Con_1_VS_OVA_1 with the 222 proteins identified in the biological replicate (Con_2_VS_OVA_2), there were 121 differentially expressed proteins identified in the OVA group; the total number of differentially expressed proteins in the C4880 and OVA groups was 198 (Fig 3A).

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Fig 3. Reproducibility of protein identification.

(a) Biologically replicate experiment was processed with iTRAQ analyzing procedure: there were 96 differentially expressed proteins identified in the C4880 group and 121 differential proteins identified in OVA group; the number of total differential proteins in C4880 and OVA groups was 198, 19 differential proteins were common. (b) Coefficients of variation of C4880 and OVA groups comparing with control group.

https://doi.org/10.1371/journal.pone.0148262.g003

In the biological replicate experiment, among the 96 differentially expressed proteins in group C4880, 43%, 30%, and 25% of proteins had coefficients of variation under 10%, 10–20%, and 20–30%, respectively, and 12% of proteins exceeded 30%. Among the 121 differentially expressed proteins in the OVA group, 30%, 26%, and 19% of proteins had coefficients of variation under 10%, 10–20%, and 20–30%, respectively, and 25% of proteins exceeded 30% (Fig 3B).

Among the 198 differentially expressed proteins, 12 which related to NHR and the generation pathways were further submitted for functional analysis with reference to the COG database (http://www.ncbi.nlm.nih.gov/COG/) and KEGG database (http://www.genome.jp/kegg/). Table 2 shows the UniProt accession number, description, gene name, ratio, KEGG pathway, and functional ontology. Intriguingly, seven of the 12 proteins (F13b, F12, C1qa, Kng1, Serpind1, C2, and C6) are involved in complement and coagulation cascade pathways. F13b and Prdx2 were upregulated in both the C4880 and OVA groups; F12, Cndp1, MYLPF, and DCD were downregulated in both the C4880 and OVA groups; Kng1 was upregulated in the C4880 group; C1qa and Gpx1 were downregulated in the C4880 group; and Serpind1, C2, and C6 were downregulated in the OVA group.

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Table 2. Proteins identified and quantified with iTRAQ technology detected by LC-ESI-MS/MS.

https://doi.org/10.1371/journal.pone.0148262.t002

To confirm the results drawn from proteomics and reveal the NHR action routes of C4880 and OVA, 7 proteins (F13, Kng1, Gpx1, IgE, Sc5b9, C4d, and Bb) regarded as key biomarkers of NHR were selected and assayed by ELISA. Simultaneously, histamine levels were also measured to indicate the NHR degree. The results show that the histamine levels were significantly increased in the C4880 (p < 0.01) and OVA (p < 0.05) groups compared with the control group, indicating the occurrence of NHRs in these BN rats. The IgE levels were significantly higher in C4880 (p < 0.05) and OVA (p < 0.05) groups compared with the control group. The F13 levels were significantly increased in C4880 (p < 0.01) and OVA (p < 0.01) groups compared with the control group. The Kng1 levels were significantly increased and Gpx1 levels were significantly decreased in the C4880 group (p < 0.01) versus the control group. The Sc5b9 and C4d levels were significantly increased in the C4880 (p < 0.05) and OVA (p < 0.01) groups versus the control group. There were no significant differences of Bb levels in both groups compared with the control group (Fig 4).

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Fig 4. The histamine, IgE, F13, Kng1, Gpx1, Sc5b9, C4d and Bb levels of BN rats by ELISA assay.

All values are expressed as means ± SD and analyzed through one-way ANOVA followed by Dunnett method to determine significance between the control and experimental groups. Compared to control group, *P<0.05, **P<0.01.

https://doi.org/10.1371/journal.pone.0148262.g004

Discussion

Acute allergic reactions mainly include type I anaphylaxis and NHR, and the latter is often caused by injections of such things as ginko biloba and taxol; increasing attention has recently been paid to NHR. Previous studies had found that BN rats were more suitable for NHR evaluation. It is generally known that C4880 can induce mast cell-dependent NHR that is commonly attributed to a direct, receptor-bypassing property to activate G proteins to release histamine from mast cells [18]. However, Palomaki and Laitinen [19] concluded that C4880 is not a receptor-bypassing, general G protein activator but rather activates phospholipase D, leading to generation of endogenous lysophosphatidic acid receptor-activating phospholipids, which increases the rate of GTPγS binding to G proteins, resulting in the release of histamine from mast cells [7]. Conversely, McNeil et al. [20] discovered that Mrgprb2, the orthologue of G protein-coupled receptor MRGPRX2, could not globally impair IgE or G protein-coupled receptor-mediated mast cell signaling through studies in Mrgprb2-mutant mice sensitized to OVA, but C4880-induced mast cell activation and tissue histamine release were essentially abolished in Mrgprb2-mutant mast cells. Thus, it can be concluded that C4880-induced NHR is associated with a direct stimulatory pathway, but the biomarker results provided no clear indication of the exact pathway. Therefore, proteomics and metabolomics were used to study the mechanism of NHR and analyze how C4880 and OVA can give rise to NHR, resulting in finding their potential biomarkers for NHR.

According to the KEGG database (http://www.genome.jp/kegg/pathway.html) and some reports [4, 7, 18, 19, 21], the NHR mechanism mainly encompasses 2 processes, i.e. generation and effect, as determined in this study (Fig 5). It can be concluded that the generation process (antigens activating mast cells through signal transduction) can be classified as direct stimulation, complement, coagulation, kallikrein-kinin, and IgE integrated with anaphylatoxin-triggered pathways (S2 Fig); the effect process (activated mast cells releasing effector substances) is mainly composed of small molecules and proteins such as histamine, which is also an important index for the indication of type I hypersensitivity reactions.

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Fig 5. A proposed generation and effect mechanism study of nonallergic hypersensitivity reaction according to KEGG nomenclature through proteomics.

The levels of potential biomarkers were labeled with “↑” up-regulated, “↓” down-regulated and “-” no significant difference comparing with control group, the left was C4880 group and the right was OVA group.

https://doi.org/10.1371/journal.pone.0148262.g005

Generation process

IgE has often been used to discriminate type I anaphylaxis and NHR [2], but another study has also shown that allergens can cause NHR through IgE integrated with the anaphylatoxin-triggered pathway (integrated pathway) [3]. A previous study showed that IgE could not be obviously altered when treated with a low dose of C4880, but there was a significant difference in the present study, suggesting that IgE may be correlated with allergen species, and in a dose-dependent manner. Thus, IgE is an important auxiliary index for this pathway.

F12, which is the initial factor of the coagulation cascade pathway [3, 22], was downregulated in the C4880 and OVA groups, while the key factor F13 and its fragment F13b were upregulated. Thus, it can be concluded that prothrombin is activated to further generate F12a from the cleavage of F12, and then F12a and F13 participate in blood coagulation together through a series of cascade reactions [23], suggesting that C4880 and OVA are involved in the coagulation pathway. Serpind1, in inhibitory factor of the coagulation cascade pathway [24], was downregulated in the OVA group but displayed no obvious change in the C4880 group, indicating that the procoagulant effect of OVA is stronger than that of C4880. Thus, F12 and F13 can be used as important indices for the coagulation pathway, while Serpind1 can be used as an auxiliary marker to judge the strength of the procoagulant effect of antigens.

C1qa is a subcomponent of the first component (C1q) of complement C1; binding between C1q and immunoglobulins is required for activation of subsequent complement components [25]. Furthermore, an in vitro study also indicated that antigens and some apoptotic cells can also be combined with C1q to trigger complement activation in the absence of antibody [26]. In the present study, C1qa was downregulated in the C4880 group, but no change was observed in the OVA group. The complement components C2 [27] and C6 [28] were downregulated in the OVA group, while Sc5b9 and C4d were upregulated in both groups, and Bb was unchanged in both groups, suggesting that C4880 and OVA are involved in the classical complement pathway [29]. However, a previous in vitro study indicated that Sc5b9 showed almost no change after C4880 treatment, suggesting that C4880 may indirectly stimulate the complement system to consume C1q through the coagulation system [30] while OVA directly stimulates the complement system, and the levels of complement components would change with time and antigen type. Taken together, these results suggest that Sc5b9 can be used as a biomarker for the complement pathway, C4d can be used as a biomarker for the classical complement pathway, and Bb can be used as a biomarker for the alternative complement pathway [31].

Kng1, which is cleaved by plasma kallikrein, can lead to the liberation of bradykinin. Sala-Cunill et al. discovered that deficiency in or pharmacological inhibition of plasma kallikrein or Kng1 largely attenuated allergen/IgE-mediated mast cell hyperresponsiveness in mice [32]. Bradykinin is an extremely potent inflammatory peptide that exerts numerous effects on the vasculature, including vasodilation, and can increase vascular permeability; its binding to the bradykinin B2 receptor triggers an increase in intracellular Ca2+, endothelium-derived hyperpolarizing factor, prostacyclin, and nitric oxide production, eliciting relaxation of vascular smooth muscle cells and a drop in blood pressure [33, 34]. A direct relationship has been demonstrated between the kallikrein-kinin system and NHR [30]. In the present study, Kng1 was upregulated in the C4880 group, suggesting that C4880 may stimulate the coagulation pathway to generate F12, while F12 stimulates the production of Kng1 to activate the kallikrein-kinin system. Our results indicate that OVA could not activate the kallikrein-kinin system. Thus, Kng1 can be used as an important index for the kallikrein-kinin pathway.

Oxygen free radicals are generally related to various inflammatory diseases, and one study has indicated that oxygen free radicals are increased in Gpx1-deficient mice, suggesting that Gpx1 can protect the body from oxidative damage [35]. Gpx1 is also involved in the regulation of prostaglandin synthesis by generating 5-HETE from 5-HPETE, and these peroxidized phospholipids are reactive with glutathione peroxidase only after enzymatic attack by phospholipase A2 [36]. Gpx1 was downregulated in the C4880 group, suggesting that C4880 induced arachidonic acid release from mast cells through the activation of phospholipase A2, in accordance with a previous report [21]. These data suggest that Gpx1 may be an important protein in the direct stimulation pathway.

Seven proteins were selected according to the NHR generation pathways for further analysis by ELISA to confirm and supplement the proteomics data; the ELISA results were used in multiple linear regression analysis. The regression equation was obtained and the results show that Kng1, Gpx1, Sc5b9, and F13 were independently correlated with symptom scores (R = 0.488, p = 0.000; R = −0.422, p = 0.000; R = 0.301, p = 0.007; and R = 0.213, p = 0.049; respectively) (S4 Table), indicating that these proteins could reflect the presence of an NHR to some extent.

Effect process

Histamine, as an early diagnostic marker of immediate phase hypersensitivity reactions, has been described as a "gold standard" of acute allergic monitoring and is a typical mediator that causes various pathophysiologic events in NHR [2, 37]. When the histamine level is: ≤ 1 ng·mL−1, there are no symptoms; 1–2 ng·mL−1, skin response only; 3 ng·mL−1, systemic reaction; > 100 ng·mL−1, serious reaction (allergic shock) [38]. The results of the present study show that the histamine level was higher in the C4880 group than in the OVA group. Thus, serious systemic reactions were caused by C4880 but mild symptoms such as trembling were caused by OVA, revealing that the concentration of histamine was intimately correlated with nonallergic symptoms in the animals.

Several other proteins including Prdx2, Cndp1, MYLPF, and DCD were also identified in this study. Prdx2 was significantly decreased and the others were upregulated in both groups. Prdx2 is a modulator of inflammatory and immune responses through its antioxidant activity [39], and is also a negative regulator of the pro-inflammatory Toll-like receptor 4 (TLR4) signaling pathway [40], which may act through TLR4 in NK cells, since these cells can produce type 1 chemokines and IFN-γ upon stimulation, resulting in enhancement of killing activity [41]. Thus, Prdx2 may be a protein that can be used to evaluating allergenicity [42]. In contrast, the reduction in Cndp1 might have an antagonistic effect on NHR in that the downregulated Cndp1 can maintain the activity of carnosine, which can inhibit inflammation- and fibrosis-related cytokines [43, 44]. Of interest, MYLPF has an important role in muscle contraction and was found to be expressed at lower levels in chronic heart failure patients, and oxidative stress due to hypoxia-reoxygenation could lead to protein modifications and its subsequent degradation [45]. One study has shown that the levels of MYLPF drastically decrease in cardiac myocytes during myocardial infarction; a decreased stroke volume during the entire reoxygenation period, which was due to deterioration of cardiac systolic function, was also observed [46], suggesting that MYLPF can be used to indicate shock or even death due to NHR. DCD, which is secreted by sweat glands, is an important component of the innate response in many species that may help limit infection by potential pathogens in the first few hours following bacterial colonization [47, 48]. In the present study, that DCD was downregulated may be because the temperature decreased the activity of sweat glands; hence, DCD can be used to indicate NHR trembling.

Conclusion

To the best of our knowledge, this is the first study to analyze the mechanism of NHR through proteomics.

Various proteins such as prdx2, Cndp1, MYLPF, and DCD were found in this study and their potential utility as NHR-indicative potential biomarkers was demonstrated. And Gpx1, Sc5b9 (C4d and Bb), F13, Kng1, and IgE could be used as candidate biomarkers for the indication of the direct stimulation, complement (classical and alternative), coagulation, kallikrein-kinin, and integrated pathways respectively. Based on the findings in a model organism, and that observations in humans have not been explored which need further study. These results are different from those of previous studies in that they suggest that C4880 is not only involved in the direct stimulation pathway, but also activates the complement and kallikrein-kinin pathways through the coagulation pathway, and showed dose dependence. OVA causes NHR through co-activation of the coagulation, classical complement, and integrated pathways.

Supporting Information

S1 Fig. Determination of protein purity by SDS-PAGE.

https://doi.org/10.1371/journal.pone.0148262.s001

(TIF)

S2 Fig. The generation process of nonallergic hypersensitivity reaction according to references and KEGG nomenclature using proteomics.

https://doi.org/10.1371/journal.pone.0148262.s002

(TIF)

S1 Table. Proteins quantified before depleting the highly abundant proteins.

https://doi.org/10.1371/journal.pone.0148262.s003

(DOCX)

S2 Table. Proteins quantified after depleting the highly abundant proteins.

https://doi.org/10.1371/journal.pone.0148262.s004

(DOCX)

S3 Table. Identification and quantitative results of the 1987 proteins in this study.

https://doi.org/10.1371/journal.pone.0148262.s005

(XLSX)

S4 Table. The multiple regression correlation analysis of several proteins with symptom scores.

https://doi.org/10.1371/journal.pone.0148262.s006

(XLSX)

Acknowledgments

The authors are thankful to BGI Tech and Beijing University of Chemical Technology for assistance during proteomics testing.

Author Contributions

Conceived and designed the experiments: DQD YBX NG HXK. Performed the experiments: YBX NG XDM. Analyzed the data: DQD YBX NG XKR. Contributed reagents/materials/analysis tools: DQD YBX NG. Wrote the paper: DQD YBX NG XKR.

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