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Salivary proteomic profile of dogs with and without dental calculus

BMC Veterinary Research volume 16, Article number: 298 (2020) Cite this article

Abstract

Background

Dogs’ saliva is a complex mixture of inorganic and organic constituents, rich in proteins. Therefore, knowing the saliva composition of these animals is extremely important to identify the presence of proteins that may be involved in physiological and pathological mechanisms of their oral cavity. The present study aimed to characterize the proteomic profile of saliva from dogs with and without dental calculus.

Results

Saliva samples were collected from 20 dogs. Before the collection, a visual clinical examination was performed and 8 subjects (40%) did not present any signs of dental calculus, while 12 (60%) presented dental calculus. After saliva collection, the samples were submitted to protein quantification (mBCA), and then they were prepared for analysis by nLC-ESI-MS/MS. A total of 658 unique proteins were identified, of which 225 were specific to dogs without dental calculus, 300 were specific to dogs with dental calculus, and 133 were common to all subjects. These proteins presented functions including transportation, immune response, structural, enzymatic regulation, signal transduction, transcription, metabolism, and some proteins perform functions as yet unknown. Several salivary proteins in dogs with dental calculus differed from those found in the group without dental calculus. Among the abundant proteins detected in periodontal affected cases, can be highlighting calcium-sensing receptor and transforming growth factor beta. Enrichment analysis reveled the presence of Rho GTPases signaling pathway.

Conclusions

This research identified salivary proteins, that should be further investigated as potencial biomarkers of chronic periodontits with dental calculus formation in dogs.

Background

Saliva has a complex mixture of organic and inorganic constituents. The organic constituents are predominantly salivary proteins [1]. Its proteome is represented especially by glycoprotein, enzymes, immunoglobulins, and several peptides [2]. Moreover, the whole saliva is composed of gingival crevicular fluid (containing plasma proteins), food debris and substances produced by oral microorganisms [3, 4].

In mammals, the main saliva functions are lubrication and protection of the buccal tissue, buffer capacity, maintenance of teeth integrity, and antimicrobial effect [3]. In some species, some saliva components represent an essential part on the enzymatic digestion assisting mastication and deglutition [5]. Besides these beneficiais functions, dogs’ saliva has an alkaline pH that varies between 7.2 to 8.5 [6, 7], a range that facilitates dental calculus formation, through calcification of dental biofilm present on teeth cervical region [8,9,10]. Dental calculus formation is always preceded by the development of a saliva protein layer on the tooth enamel’s surface, called acquired enamel pellicle (AEP), which serves both to protect dental enamel, reduce friction between teeth and oral mucosa [11], and as basis to formation and maturation of dental biofilm, which constitutes the organic matrix to its possible calcification [12].

In dogs, the formation of dental calculus is typical since the first year of life and it appears as granular, yellow–brown masses on the buccal surfaces of molar teeth of the upper jaw near salivary duct orifices [7, 13]. Dental calculus consists in a mixture of calcium carbonate and calcium phosphate, presenting a rough surface that increases the occurrence of periodontal disease [8], due to the calcification of more dental biofilm, bringing it closer to the soft tissues [14]. Similar to humans, there is a link in dogs between the calculus presence with the increasing rate of periodontal diseases, which in some cases may lead to the animal starvation as a result of feeding difficulties [13, 15, 16]. Furthermore, in dogs, dental calculus is considered one of the main conditions involved in the development of periodontal disease resulting in teeth loss. Studies report prevalence of periodontal disease varying from 80 to 85% [10, 17,18,19].

Other than constituents involved in the formation of dental calculus, saliva possesses chemical and physical properties that may serve to detect evidence, through proteomic analysis, of systemic diseases [2]. Mass spectrometry is an indicated method for studies focused on protein identification, characterization and quantification [20]. This analysis is available both for humans [21, 22] and animals [23,24,25]. Some proteins are involved in the formation and in the inhibition of minerals precipitation over human dental surface, such as cystatins, statherin and acidic proline-rich proteins (PRPs), which have been already identified in saliva protein composition of some mammal species like monkeys, rats, mice’s and pigs [23]. However, literature is still limited concerning identification of these proteins in dogs’ saliva. Studies with a proteomic approach may be used to develop biological strategies for controlling both bacterial dental biofilm and dental calculus formation. Thus, the purpose of this study was to characterize the salivary proteomic profile of dogs with and without dental calculus.

Results

Characterization of the study participants

Of the 20 dogs that participated in the study, the visual clinical examination showed that 8 (40%) had no signs of dental calculus and 12 (60%) presented with some degree of dental calculus (Table 1). The distribution of these dogs according to breed, gender, age, weight, diet and volume of saliva collected is also shown in Table 1.

Table 1 Distribution of the participating dogs by breed, gender, age, weight, diet and volume of saliva collected
Full size table

Total protein concentration

The concentrations of total proteins present by the Micro Bicinchoninic Acid (Micro BCA) assay in each dog studied are shown in Table 1. Student’s t-test was used to compare total protein concentrations between the groups with and without dental calculus and between genders. There were no statistically significant differences (p = 0.892) between groups and gender (p = 0.3822).

Correlations between variables

Pearson’s correlation test (p < 0.05) was used to investigate the associations between animal age, saliva volume and total protein in the saliva. As expected, there was no statistically significant correlation between the variables.

Proteome identification and quantification

The proteome from all different samples showed a consistent elution of protein/peptides range from 20 to 45 min. Representative base-peak chromatograms of saliva from dogs with and without dental calculus are represented in Fig. 1.

Fig. 1
figure1

Examples of base-peak chromatograms from samples of dogs without dental calculus (upper graph) and dogs with dental calculus (lower graph) performed by nano-flow RP-HPLC column, and elution gradient ranging from 0 to 80%

Full size image

In the present study, 1662 proteins were identified, of which 658 (39.6%) were unique proteins. Of these 658 unique proteins found, 623 (9.7%) were characterized and 35 (15.3%) were uncharacterized proteins, therefore identified for the first time.

Regarding the oral clinical condition of each animal, 133 (20.2%) specific proteins were common to all participating dogs (Supplementary Table S1), 225 (34.2%) specific proteins were identified in dogs without clinical signs of dental calculus (Supplementary Table S2), 300 (45.6%) specific proteins in dogs with dental calculus (Supplementary Table S3). This distribution is described in Venn diagram (Fig. 2). Of these 225 specific proteins of dogs without dental calculus, 220 (97.8%) were characterized and 5 (2.2%) were uncharacterized proteins. From the 300 specific proteins of dogs with dental calculus, 287 (95.7%) present characterization and 13 (4.3%) were uncharacterized proteins.

Fig. 2
figure2

Venn diagram showing salivary proteins found in animals with and without dental calculus and their interrelationship

Full size image

Biological functions of proteins

Among the 658 unique proteins identified, the most abundant based on spectral count and ion abundance [26] had their biological functions analyzed by UniProt software (www.uniprot.org). These proteins exhibited functions of substance transport, immune response, enzymatic regulation and metabolism (Table 2 and Supplementary Table S4 with peptide sequences).

Table 2 Functions of the most abundant proteins identified in all participants dogs
Full size table

Regarding the 225 specific proteins identified in dogs without dental calculus, the most abundant were: Can f 4 variant allergen, Keratin, type II cytoskeletal 1 and others. These proteins also exhibited functions of transport, immune response, transcription, structural, enzymatic regulation, metabolism and signal transduction (Table 3 and Supplementary Table S4 with peptide sequences).

Table 3 Functions of the most abundant specific proteins identified in dogs without dental calculus
Full size table

And finally, from the 300 specific proteins identified in dogs with dental calculus, the most abundant analyzed were: Calcium-sensing receptor, Voltage-dependent T-type calcium channel subunit alpha, Multidrug and toxin extrusion protein (Fragment), Phosphatase and actin regulator, Poly [ADP-ribose] polymerase, Zinc alpha-2-glycoprotein 1 (Fragment), Transforming growth factor beta (TGFB1) and others. These proteins exhibited functions of transport, immune response, enzymatic regulation, signal transduction, transcription and metabolism (Table 4 and Supplementary Table S4 with peptide sequences).

Table 4 Functions of the most abundant specific proteins identified in dogs with dental calculus
Full size table

Fig. 3 shows and compares the functions of the most abundant proteins for dogs with and without dental calculus. The group with dental calculus presented with more proteins related to immune response, enzymatic regulation and uncharacterized proteins, as compared to the group without dental calculus.

Fig. 3
figure3

Comparison of functional characteristic of the most abundant proteins found in dogs with and without dental calculus

Full size image

Analysis by the STRING database

Two protein-protein networks were created with the 225 unique proteins identified in the group of dogs without dental calculus, and 300 unique proteins in the group of dogs with dental calculus. Canis lupus was selected as the studied organism and the highest score of confidence (0.900) was set. Supplementary Figures 1 and 2 shows the constituents of both networks, dogs without dental calculus and dogs with dental calculus, respectively. Although it is possible to see an increase of connections from the group without dental calculus (42 edges) to the group with dental calculus (90 edges), only Reactome pathways such as cell cycle, mitosis, signaling by Rho GTPases, M phase and mitotic prometaphase were found in the second group (Supplementary Table S5). No pathways (from Reactome Pathway Datasabe or Kyoto Encyclopedia of Genes and Genomes) were encountered in the first group.

Discussion

The current study characterized the salivary proteome profile of dogs with and without dental calculus. In total, we identified 1662 proteins through the SEQUEST filter criteria applied to MS/MS spectra. Among these salivary proteins, there were 658 (39.6%) described for the first time in saliva of dogs. Besides, it is important enphazises that 225 specific proteins were identified in dogs without clinical signs of dental calculus and 300 specific proteins of dogs with dental calculus, which demonstrated that saliva could be a valuable medium to get biomarkers of the dental calculus formation on dogs.

The whole saliva collection was performed by mechanical stimulation with aid of a device formulated for such purpose. The device used was Micro•SAL™ saliva collection device (Oasis Diagnostics® Corporation - Vancouver, WA, USA). The saliva collection device has no cellulose in its composition [27] and allows immediate visual confirmation of the volume of saliva obtained; the plunger compresses the absorbent pad and the saliva is collected in the Eppendorf tube portion of the device. Foremost, differently from previous studies where the collection of saliva in dogs was performed under anesthesia with stimulation with acid [28, 29], we have opted for a non-invasive collection without any other stimulation mechanism or general anesthesia. However, there were difficulties regarding the sample collection. The sample volumes obrained varied significantly due to the dog’s defense movements, such as head shaking or trying to move away from the owner’s containment position. These reports were also described by dog’s owners in the study of Wenger-Riggenbach et al. [30]. Moreover, some dogs refused to open their mouths and became aggressive, consequently resulting in them being excluded from the study.

The visual clinical examination of the 20 analyzed dogs identified that 8 (40%) did not present any signs of dental calculus, and 12 (60%) presented some degree of dental calculus. The mean dental calculus scores of dogs with dental calculus was 1.8, indicating a moderate calculus scoring in these dogs. Since our main goal is to study dental calculus, we selected the breeds Shih Tzu and Lhasa Apso that possesses brachycephalic skulls and tend to show malocclusion, dental crowding and rotation [31, 32], which facilitates accumulation of dental calculus. It is known that dental calculus is a predisposing factor to periodontal disease, which is more frequent in middle-aged (above 7 years old) and small size animals (below 10 kg) [33]. In addition, the breeds studied here are similar in appearance and the genetic investigation presented a close relationship between them [34]. As our study only sampled these genetically similar breeds, this may have influenced the number of proteins identified. Sousa-Pereira et al. [25] identified 249 proteins on a mixed breed group and Torres et al. [35] identified 2.491 proteins in healthy dogs among 19 breeds. Notwithstanding, there is no description of oral health on the animals evaluated in the study of Sousa-Pereira et al. [25] nor the proteins functions. In this present study were identified 1.662 proteins, of which 658 (39.6%) were unique. The biological functions of the most abundant proteins of each group identified were: transportation, immune response, structural, enzymatic regulation and metabolism, and some proteins perform still unknown functions. Besides that, in our study, there was no difference in total protein concentration between males and females. The same result was found in the study by Lucena et al. [29], in which there was no major differences between genders.

In the last years, several studies have been carried out on proteomic analysis in different mammals. Sousa-Pereira et al. [25], analyzed the salivary proteome of distinct species, including dogs, and identified, the alpha amylase (among other) was not found in the present study. There are, differences between that study and the present one that make a direct comparison of results difficult. In Sousa Pereira study [23], the samples were collected in mixed breed while in our study two specific breeds were selected. Sanguansermsri et al. compared the salivary proteome between dogs and humans, and observed that alpha amylase was present in dogs saliva, but in lower levels than in humans saliva; however, the presence of this protein in dogs in that study may be due the fact that in Thailand these animals are often fed with rice and starch [35]. Most likely due to a diet adaption, the dogs used in this study do not have this protein. This lack of amylase in dog’s saliva was also observed by other studies [4, 36, 37].

To the best of our knowledge, there are no proteomic studies regarding dental calculus in the saliva of dogs, so this is a pioneering study. Among the unique proteins identified, the existence of serum albumin was noted on every dog’s sample due to, as described in humans, a small volume of gingival crevicular fluid that enters the oral cavity even in healthy subjects, free of gingivitis, resulting the measurement of levels of this component of serum in saliva [38]. Other components of serum have also been identified, among these elements, are: Hemoglobin subunit beta, Apolipoprotein A-I, Hemoglobin subunit alpha and Haptoglobin.

Further, mucin and lysozyme C proteins were identified. Mucins are glycoproteins of high molecular weight with elongated structure that contribute significantly to saliva’s viscoelastic behavior [39]. They also play an antibacterial function of modulating selectively the coherence of microorganisms to the oral tissue surface, which assist with the control of bacterial and fungal colonization [3]. Lysozymes, on the other hand, are enzymes with hydrolytic activities. In other words, they promote cell lysis in bacteria [40], since its biochemically function hydrolyze beta-1,4 bond between N-acetyl glucosamine and N-acetyl muramic acid residues of bacterial peptidoglycan, which is an essential part of bacterial cell wall and also promotes structural stiffness and neutralize osmotic pressure of the cytoplasm [41]. Therefore, the lysozyme is considered a natural antibiotic and an important part of the innate immune system [41,42,43]. In humans, C-type lysozyme is found in all biofluids, including saliva. The C-type lysozymes, as the ones identified, are the main lysozymes produced by vertebrates [44].

Concerning the analyses in the two different groups, the most abundant proteins in the group of dogs without dental calculus participated in metabolism functions, whereas in the group with dental calculus there were major proteins related to immune response, enzymatic regulation and uncharacterized proteins, potentially this may be due the presence of dental calculus near the gingiva, which has tendency of more pronounced inflammatory response [45].

Among the specific proteins of dogs without dental calculus, the presence of Sphingosine-1-Phosphate Receptor Protein 1 (S1P1) was observed. This protein is highly expressed in humans in endothelial cells, brain, heart and immune system cells [46, 47]; it is coupled to G protein and binds to sphingosine-1-phosphate, which is a bioactive sphingolipid that behaves as an intracellular messenger of some cytokines and also as an autocrine and paracrine extracellular mediator [48]. In addition, sphingosine-1-phosphate stimulates events of intracellular signaling, such as activation of phospholipase C, increased cytoplasmic calcium concentration, regulation of adenylate cyclase, activation of the MAP kinase pathway and the Rho cascade [49]. When bound, they participate in several cellular processes such as proliferation, differentiation, adhesion, motility, angiogenesis, apoptosis, migration, morphogenesis and changes in the cytoskeleton [50]. S1P1 proteins were also described in memory T cells and a cell immunophenotyping revealed that humans secrete CD4(+) T cells in saliva [51]. Besides, the Voltage-dependent T-type calcium channel subunit alpha protein encoded by CACNA1G gene was equally identified as a specific protein of dogs without dental calculus. Interestingly, a similar protein encoded by CACNA1I gene was only identified in the saliva of dogs with dental calculus. It is deemed that proteins T-type calcium channel play important roles in neuronal activity and have been described in studies with rats [52] and humans [53]; but there are no reports in the literature relating these proteins to the dogs’ saliva.

According to Zhang and collaborators [54] up to 40 proteins can be named as protein biomarkers for periodontal diseases in humans, these biological mediators are released from host defense cells due to the presence of periodontopathic bacteria in the oral enviromment. They include numerous cytokines, such as prostaglandin E2; tumor necrosis factor (TNF); interleukins IL-1 and IL-6, proteinases as matrixmetalloproteinases (MMPs); elastase-like enzymes; trypsin-like proteases; aminopeptidases and dipeptidylpeptidases, epidermal; platelet-derived and vascular growth factors, pyridino-line cross-linked carboxyterminal telopeptide, osteocalcin, among others. Still, there is a lack of proteomic researches regarding dogs with chronic periodontitis, which compromises comparisons within this species.

Howsoever, amidst the specific proteins identified in dogs with dental calculus in this study, some were found to function as immune response to the current peridodontitis. Between then it can be pointed out the presence of fragments of the Polymeric immunoglobulin receptor protein, which has been described in human saliva having the function of transporter of IgA, the main salivary antibody [39]. Transforming growth factor beta (TGFB1) and complement C8 beta chain (C8B), were equally present in high abundance. TGFB1 was previously correlated to chronic periodontitis [55], its importance lies in the fact that this growth factor stimulate tissue remodeling and wound healing through increasing fibroblast proliferation, angiogenesis, and extracellular matrix production [56], and by inhibiting MMPs [57]. Paradoxically, TGFB1 was also found to promote inflammation-associated tissue degradation by enhanced production of mediators that raise recruitment of eosinophils, lympocytes and monocytes, cells known to participate in chronic inflammation and tissue destruction [58]. These facts could explain why TGFB1 is upregulated in cases of chronic periodontal pathologie.

Furthermore, another abundant protein detected by this research was the Calcium-sensing receptor (CaSR), whose function is calcium (Ca2+) transportation and regulation [54]. In humans, CaSR is a G protein-coupled receptor that detects extracellular levels of Ca2+, which is expressed on plasma membranes of a broad variety of epithelial tissues including parathyroid, kidney, gastrointestinal tract and salivary glands [59, 60]. In salivary glands, it was showed that functional CaSR proteins can be stimulated by Ca2+ concentration, that is, CaSR can serve as a Ca2+ sensor in the luminal membrane of salivary gland ducts and regulate reabsorption of Ca2+ from the saliva via transient receptor potential canonical 3 (TRPC3), thus contributing to maintenance of salivary Ca2+ levels and representing a possible important protective mechanism against formation of salivary gland stones [60]. Hence, as the CaSR stimulation in salivary glands can be related to an imbalance in the salivary Ca2+ concentration, it could as well contribute to the dental calculus accumulation that consist essentially of calcium phosphate. It is also important to note that in the kidney, the formation of stones is associated with changes in calcium reabsorption, causing hypercalcemia [59]. Remarkably in the current investigation, CaSR was identified only in the saliva of dogs with dental calculus, which could suggest, together with its high abundance, an association with dental calculi presence. Further research is needed to better understand the relevance of CaSR protein in saliva and dental calculi formation, as it was demonstrated mainly in other human tissues [59].

An additional layer of information on possible pathways and processes involved in periodontal disease was granted by enrichment analysis. Overall, four of the five biological process that were encountered in dental calculus cases related to mitotic pathways that is the most common eukaryotic cell cycle. However, one critical finding merit being highlighted, which is the presence of the Rho GTPases signaling pathway. Rho GTPases can modulate the effects on human periodontal ligament cells of TNFB1, an important cytokine already known by its role in periodontal pathologies [61]. Rho is a notable coordinator of the cytoskeleton [62], it was suggested in a previous study that the small Rho GTPase and its downstream effector Rho kinase (ROCK) regulate TGFB1-induced remodelling of mammary epithelial cell-to-cell contact [63]. In accordance to the stated, Wang et al. showed that TGFB1 can induce proliferation and cytoskeletal rearrangement in periodontal ligament cells via Rho GTPase-dependent pathways [64]. The high abundance of TGFB1 in dogs with dental calculus associated with the presence of Rho GTPase pathway is a relevant finding that may suggest, for futher investigations, TGFB1 as a biomarker candidate of periodontal disease in this species.

Future studies are needed for the evaluation of parameters such as pH values and determination of the buffer activity of each saliva sample collected. Quantification of electrolytes such as calcium and phosphate, which participate in the formation of the dental calculus and processes of demineralization and remineralization of dental enamel, should also be performed, not forgetting to mention sodium, potassium, zinc and magnesium, that are important in the metabolism of the salivary glands [65, 66]. The final task would be to combine the genomic, proteomic and other omic profiles together in an attempt to obtain a broader vision of how dental calculus accumulation impact dog salivary proteomic profile.

Conclusion

In this study, the proteome salivary profile of dogs showed a large number of unique proteins, 225 belonging to dogs without dental calculus, 300 exclusives to dogs with dental calculus and 133 belonging to both groups. Therefore, this research identified salivary proteins, that should be further investigated as potencial biomarkers of chronic periodontits with formation of dental calculus in dogs. Besides, it could open opportunities to study and potentially develop new substances, that would aid in preventing or delaying the formation of dental calculus in dogs.

Methods

Sample selection

This study was approved by the Ethics Committee in the Teaching and Research on Animals of the Dental School of Bauru, University of São Paulo (number 002/2016); moreover, all the dogs’owners signed consent forms.

The study was composed by 20 dogs (Canis lupus familiaris) ranging in age from three months to nine years with and without dental calculus. General inclusion criteria of the groups with and without dental calculus included: dog breed of either Shih Tzu or Lhasa Apso, of both sex, that were, dewormed, vaccinated, antibiotic-free at least 6 months prior to data collection, free from any other concurrent oral disorders, and for females, out of the estrus period. Specific inclusion criteria were in the control group (without dental calculus) the dogs should not present any signs of dental calculus and; in the experimental group (with dental calculus) the dogs should necessarily present signs of dental calculus.

Dental evaluation

Previously to collection of saliva samples, a visual clinical examination of the oral cavity was carried out in order to evaluate the dental conditions, concerning the presence or absence of dental calculus.

A visual oral inspection was carried out by a veterinary, where each participant of the study was categorized based on the criteria adopted to evaluate the dental calculus: 0 for absence of dental calculus; 1 for supragingival calculus covering not more than one-third of the exposed surface of the examined tooth; 2 for supragingival calculus covering more than one third but not more than two thirds of the exposed tooth surface and 3 for supragingival calculus covering more than two third of the exposed tooth surface [67, 68].

Saliva collection and preparation

A non-invasive collection, without general anesthesia, and after 2 h of the animal fasting was performed. Whole saliva samples were collected under stimulation using Micro•SAL™ saliva collection device (Oasis Diagnostics® Corporation - Vancouver, WA, USA) for approximately 5 to 10 min. The tip end of the white absorbent collection pad of the device was inserted into the mouth of the dog where saliva pools and collect until the pad was saturated. Saliva was totally transferred from the absorbent part to the collection tube using the compression tube.

The samples were centrifuged at 14,000 g for 20 min at 4 °C and whole saliva supernatants (WSS) separated from the pellet. This was followed by the lyophilization of samples for further analyses. The total protein concentration of WSS was measured by Micro BCA Protein Assay Kit (Thermo Scientific Pierce, Rockford, IL, USA) with bovine serum albumin used as the standard and it was stored at − 80 °C until further analysis [69, 70].

In–solution digestion

The equivalent of 20 μg of each WSS sample was dried by a rotary evaporator, denatured and reduced for 1 h at room temperatute by the addition of 50 μl of solution 1 (4 M urea, 10 mM dithiothreitol), and 50 mM NH4HCO3, pH 7.8. After, four-fold dilution with 50 mM NH4HCO3, pH 7.8, tryptic was carried out for 16 h at 37 °C, after the addition of 4% (w/w) sequencing-grade trypsin (Promega, USA). Finally, aliquots from each sample were dried again in a rotary evaporator, de-salted by C18 Pipette Tips (Millipore, USA) and finally subjected to mass spectrometry analyses [71].

Mass spectrometry analyses

Mass spectrometry analyses were carried in triplicates for each sample with a nano-HPLC Proxeon (Thermo Scientific, San Jose, CA, USA) which allows in-line liquid chromatography with the capillary column, 60 μm × 100 mm (Pico Tip™ EMITTER, New Objective, Woburn, MA) filled with C18 resin of 5 mm diameter and 200Ǻ pores sizes (Michrom BioResources, Auburn, CA) linked to the mass spectrometer (LTQ-Velos, Thermo Scientific, San Jose, CA, USA) using an electrospray ionization in a survey scan in the range of m/z values 390–2000 tandem MS/MS.

The equivalent of 20 μg of each sample already dried by rotary evaporator was re-suspended in 20 μg of 0.1% formic acid and then subjected to reversed-phase LC-ESI-MS/MS. The nano-flow reversed-phase HPLC was developed with linear gradient of 85 min ranging from 0 to 100% of solvent B (97.5% acetonitrile, 0.1% formic acid) at a flow rate of 200 nl/min with a maximum pressure of 280 bar. Electrospray voltage and the temperature of the ion transfer capillary were 1.8 kV and 250 °C respectively.

Database searches

The acquired MS/MS spectra were compared to canus lupus familiaris protein database (UniPROT and TREMBL, Swiss Institute of Bioinformatics, Geneva, Switzerland, http://ca.expasy.org) using SEQUEST and Proteome Discoverer 1.3 software (Thermo, USA). In order to infer protein with high confidence, the SEQUEST filter criteria applied to MS/MS spectra were: 1.5; 2.5; 3.1; 3.1; 4.5 for the XCorr applied in addition to the Percolator filter. Search results were filtered at a false discovery rate of 1% using a reverse database search strategy [26, 27].

As described previously [26], after identification of the proteome profile, the most abundant proteins had their biological functions verified through the accession number using the database www.uniprot.org. In addition, the STRING database (http://string-db.org/) was searched for protein-proteins networks in the group of dogs without dental calculus and the group with dental calculus separately.

Statistical analyses

The results obtained were analysed by SPSS for WINDOWS, version 19.0 (SPSS Inc., Chicago, IL, USA), using descriptive statistics. Additionally, Student’s t-test was used to compare total protein concentrations between the groups with and without dental calculus and between genders. And, Pearson’s chi-square test was chosen to examine the null hypothesis that there is no relationship between animal age, saliva volume and total protein in the saliva. Significance levels were set at 5% (p < 0.05).

Availability of data and materials

The datasets supporting the conclusion of this article are included within the article and Additional files.

Abbreviations

AEP:

Acquired enamel pellicle

PRPs:

Proline-rich proteins

WSS:

Whole saliva supernatants

Micro BCA:

Micro Bicinchoninic Acid

S1P1:

Sphingosine-1-Phosphate Receptor Protein 1

TNF:

Tumor necrosis factor

MMPs:

Matrixmetalloproteinases

TGFB1:

Transforming growth factor beta

C8B:

Complement C8 beta chain

CaSR:

Calcium-sensing receptor

Ca2+ :

Calcium

TRPC3:

Transient receptor potential canonical 3

ROCK:

Rho kinase

References

  1. 1.

    Helmerhorst EJ, Oppenheim FG. Saliva: a dynamic proteome. J Dent Res. 2007;86:680–93.

    CAS  PubMed  Google Scholar 

  2. 2.

    Schipper RG, Silletti E, Vingerhoeds MH. Saliva as research material: biochemical, physicochemical and practical aspects. Arch Oral Biol. 2007;52:1114–35.

    CAS  PubMed  Google Scholar 

  3. 3.

    Humphrey SP, Williamson RT. A review of saliva: normal composition, flow, and function. J Prosthet Dent. 2001;2:162–9.

    Google Scholar 

  4. 4.

    Pasha S, Inui T, Chapple I, Harris S, Holcombe L, Grant MM. The saliva proteome of dogs: variations within and between breeds and between species. Proteomics. 2018;18:1–7.

    Google Scholar 

  5. 5.

    Lamy E, da Costa G, Santos R, Capela E, Silva F, Potes J, Pereira A, et al. Sheep and goat saliva proteome analysis: a useful tool for ingestive behavior research? Physiol Behav. 2009;98:393–401.

    CAS  PubMed  Google Scholar 

  6. 6.

    Larmas M, Scheinin A. Studies on dog saliva. I. some physico-chemical characteristics. Acta Odontol Scand. 1971;2:205–14.

    Google Scholar 

  7. 7.

    Borah BM, Halter TJ, Xie B, Henneman ZJ, Siudzinski TR, Harris S, et al. Kinetics of canine dental calculus crystallization: an in vitro study on the influence of inorganic components of canine saliva. J Colloid Interface Sci. 2014;425:20–6.

    CAS  PubMed  Google Scholar 

  8. 8.

    Harvey CE. Periodontal disease in dogs. Etiopathogenesis, prevalence, and significance. Vet Clin North Am Small Anim Pr. 1998;28:1111–28 vi.

    CAS  Google Scholar 

  9. 9.

    Cleland WP. Opportunities and obstacles in veterinary dental drug delivery. Adv Drug Deliv Rev. 2001;50:261–75.

    CAS  PubMed  Google Scholar 

  10. 10.

    Pinto ABF, Saad FMOB, Leite CAL, Aquino AA, Alves MP, Pereira DAR. Sodium tripolyphosphate and sodium hexametaphosphate in preventing dental calculus accumulation in dogs. Arq Bras Med Vet e Zootec. 2008;60:1426–31.

    CAS  Google Scholar 

  11. 11.

    Lendenmann U, Grogan J, Oppenheim FG. Saliva and dental pellicle-a review. Adv Dent Res. 2000;14:22–8.

    CAS  PubMed  Google Scholar 

  12. 12.

    Siqueira WL, Bakkal M, Xiao Y, Sutton JN, Mendes FM. Quantitative proteomic analysis of the effect of fluoride on the acquired enamel pellicle. PLoS One. 2012;7:e42204.

    CAS  PubMed  PubMed Central  Google Scholar 

  13. 13.

    Coignoul E, Cheville N. Calcified microbial plaque. Dental calculus of dogs. Am J Pathol. 1984;117:499–501.

    CAS  PubMed  PubMed Central  Google Scholar 

  14. 14.

    Jepsen S, Deschner J, Braun A, Schwarz F, Eberhard J. Calculus removal and the prevention of its formation. Periodontol 2000. 2011;55:167–88.

    PubMed  Google Scholar 

  15. 15.

    Lorenzo MA, Bello LFCO, Rothstein JMJ, Santos AC. Incidence of dental calculus and periodontal disease by dental group, dental arch and age in beagle dogs. J Agro Sci. 2014;13:275–83.

    Google Scholar 

  16. 16.

    Camargo A, Novais AA, Júnior DF. Periodontal disease in dogs and cats referred to the veterinary hospital of UFMT, campus Sinop. MT Seasinop. 2015;3:16–24.

    Google Scholar 

  17. 17.

    Emily P, Penman S. Handbook of small animal dentistry. 1st ed. Oxford: Pergamon Press plc; 1990.

  18. 18.

    Kortegaard HE, Eriksen T, Baelum V. Screening for periodontal disease in research dogs - a methodology study. Acta Vet Scand. 2014;56:77.

    PubMed  PubMed Central  Google Scholar 

  19. 19.

    Fernandes NA, Borges APB, Reis EC, Sepulveda RV, Pontes KCD. Prevalence of periodontal disease in dogs and owners’ level of awareness - a prospective clinical trial. Rev Ceres. 2012;59:446–51.

    Google Scholar 

  20. 20.

    Aebersold R, Goodlett DR. Mass spectrometry in proteomics. Chem Rev. 2001;2:269–96.

    Google Scholar 

  21. 21.

    Oppenheim FG, Salih E, Siqueira WL, Zhang W, Helmerhorst EJ. Salivary proteome and its genetic polymorphisms. Ann N Y Acad Sci. 2007;1098:22–50.

    CAS  PubMed  Google Scholar 

  22. 22.

    Xiao Y, Karttunen M, Jalkanen J, Mussi MC, Liao Y, Grohe B, et al. Hydroxyapatite growth inhibition effect of pellicle statherin peptides. J Dent Res. 2015;94:1106–12.

    CAS  PubMed  Google Scholar 

  23. 23.

    de Sousa-Pereira P, Amado F, Abrantes J, Ferreira R, Esteves PJ, Vitorino R. An evolutionary perspective of mammal salivary peptide families: cystatins, histatins, statherin and PRPs. Arch Oral Biol. 2013;58:451–8.

    PubMed  Google Scholar 

  24. 24.

    de Sousa-Pereira P, Abrantes J, Pinheiro A, Colaço B, Vitorino R, Esteves PJ. Evolution of C, D and S-type cystatins in mammals: an extensive gene duplication in primates. PLoS One. 2014;9:e109050.

    PubMed  PubMed Central  Google Scholar 

  25. 25.

    de Sousa-Pereira P, Cova M, Abrantes J, Ferreira R, Trindade F, Barros A, et al. Cross-species comparison of mammalian saliva using an LC-MALDI based proteomic approach. Proteomics. 2015;15:1598–607.

    PubMed  Google Scholar 

  26. 26.

    Milac TI, Randolph TW, Wang P. Analyzing LC-MS/MS data by spectral count and ion abundance: two case studies. Stat Interface. 2012;5:75–87.

    PubMed  PubMed Central  Google Scholar 

  27. 27.

    Khurshid Z, Zohaib S, Najeeb S, Zafar MS, Slowey PD, Almas K. Human saliva collection devices for proteomics: an update. Int J Mol Sci. 2016;17(6):846.

  28. 28.

    Sanguansermsri P, Jenkinson HF, Thanasak J, Chairatvit K, Roytrakul S, Kittisenachai S, et al. Comparative proteomic study of dog and human saliva. PLoS One. 2018;13:e0208317.

    CAS  PubMed  PubMed Central  Google Scholar 

  29. 29.

    Lucena S, Coelho AV, Capela-Silva F, Tvarijonaviciute A, Lamy E. The effect of breed, gender, and acid stimulation in dog saliva proteome. Biomed Res Int. 2018; https://doi.org/10.1155/2018/7456894.

  30. 30.

    Wenger-Riggenbach B, Boretti FS, Quante S, Schellenberg S, Reusch CE, Sieber-Ruckstuhl NS. Salivary cortisol concentrations in healthy dogs and dogs with hypercortisolism. J Vet Intern Med. 2010;24:551–6.

    CAS  PubMed  Google Scholar 

  31. 31.

    Gioso MA, Carvalho VG. Oral anatomy of the dog and cat in veterinary dentistry practice. Vet Clin North Am Small Anim Pract. 2005;35:763–80.

    PubMed  Google Scholar 

  32. 32.

    Harvey CE, Nieves MA. Perspectives on veterinary dental care: issues and answers. Small Anim Scope. 1991;11:12–5.

    Google Scholar 

  33. 33.

    VenturiniI, MAFA. Retrospective study of 3055 pets referred to ODONTOVET® (Veterinary Dental Center) during 44 months. USP Teses Database. 2006; doi: https://doi.org/10.11606/D.10.2007.tde-14052007-081635.

  34. 34.

    Parker HG, Kim LV, Sutter NB, Carlson S, Lorentzen TD, Malek TB, et al. Genetic structure of the purebred domestic dog. Science. 2004;21(304):1160–4.

    Google Scholar 

  35. 35.

    Torres SMF, Furrow E, Souza CP, Granick JL, de Jong EP, Griffin TJ, et al. Salivary proteomics of healthy dogs: An in depth catalog. PLoS One. 2018;13:e0191307.

    PubMed  PubMed Central  Google Scholar 

  36. 36.

    Arendt M, Fall T, Lindblad-Toh K, Axelsson E. Amylase activity is associated with AMY2B copy numbers in dog: implications for dog domestication, diet and diabetes. Anim Genet. 2014;45:716–22.

    CAS  PubMed  PubMed Central  Google Scholar 

  37. 37.

    Boehlke C, Zierau O, Hannig C. Salivary amylase - the enzyme of unspecialized euryphagous animals. Arch Oral Biol. 2015;60:1162–76.

    CAS  PubMed  Google Scholar 

  38. 38.

    Oppenheim FG. Wiley-Blackwell (Org.), Salivary Diagnostics. Iowa: EUA; 2008. p. 81.

    Google Scholar 

  39. 39.

    Carpenter GH. The secretion, components, and properties of saliva. Annu Rev Food Sci Technol. 2013;4:267–76.

    CAS  PubMed  Google Scholar 

  40. 40.

    Ide M, Saruta J, To M, Yamamoto Y, Sugimoto M, Fuchida S, et al. Relationship between salivary immunoglobulin a, lactoferrin and lysozyme flow rates and lifestyle factors in Japanese children: a cross-sectional study. Acta Odontol Scand. 2016;74:576–83.

    CAS  PubMed  Google Scholar 

  41. 41.

    Yu LP, Sun BG, Li J, Sun L. Characterization of a c-type lysozyme of Scophthalmus maximus: expression, activity, and antibacterial effect. Fish Shellfish Immunol. 2013;34:46–54.

    PubMed  Google Scholar 

  42. 42.

    Prager EM, Jollès P. Animal lysozymes c and g: an overview. EXS. 1996;75:9–31.

    CAS  PubMed  Google Scholar 

  43. 43.

    Magnadottir B. Fish Shellfish Immunol. 2006;20:137–51.

    CAS  PubMed  Google Scholar 

  44. 44.

    Callewaert L, Michiels CW. Lysozymes in the animal kingdom. J Biosci. 2010;35(1):127–60.

    CAS  PubMed  Google Scholar 

  45. 45.

    Elias-Boneta AR, Ramirez K, Rivas-Tumanyan S, Murillo M, Toro MJ. Prevalence of gingivitis and calculus in 12-year-old Puerto Ricans: a cross-sectional study. BMC Oral Health. 2018;18(1):13.

    PubMed  PubMed Central  Google Scholar 

  46. 46.

    Goetzl EJ, An S. Diversity of cellular receptors and functions for the lysophospholipid growth factors lysophosphatidic acid and sphingosine 1-phosphate. FASEB J. 1998;12(15):1589–98.

    CAS  PubMed  Google Scholar 

  47. 47.

    Zhang G, Contos JJ, Weiner JA, Fukushima N, Chun J. Comparative analysis of three murine G-protein coupled receptors activated by sphingosine-1-phosphate. Gene. 1999;227(1):89–99.

    CAS  PubMed  Google Scholar 

  48. 48.

    Lemos JP, Smaniotto S, Messias CV, Moreira OC, Cotta-de-Almeida V, Dardenne M, et al. Sphingosine-1-phosphate receptor 1 is involved in non-obese diabetic mouse Thymocyte migration disorders. Int J Mol Sci. 2018;19:1446.

    PubMed Central  Google Scholar 

  49. 49.

    Murata N, Sato K, Kon J, Tomura H, Yanagita M, Kuwabara A, et al. Interaction of sphingosine 1-phosphate with plasma components, including lipoproteins, regulates the lipid receptor-mediated actions. Biochem J. 2000;352:809–15.

    CAS  PubMed  PubMed Central  Google Scholar 

  50. 50.

    Okajima F. Plasma lipoproteins behave as carriers of extracellular sphingosine 1-phosphate: is this an atherogenic mediator or an anti-atherogenic mediator? Biochim Biophys Acta. 2002;1582:132–7.

    CAS  PubMed  Google Scholar 

  51. 51.

    Naiff PF, Ferraz R, Cunha CF, Orlandi PP, Boechat AL, Bertho AL, Dos-Santos MC. Immunophenotyping in saliva as an alternative approach for evaluation of immunopathogenesis in chronic periodontitis. J Periodontol. 2014;85(5):e111–20.

    CAS  PubMed  Google Scholar 

  52. 52.

    Lee JH, Daud AN, Cribbs LL, Lacerda AE, Pereverzev A, Klöckner U, et al. Cloning and expression of a novel member of the low voltage-activated T-type calcium channel family. J Neurosci. 1999;19:1912–21.

    CAS  PubMed  PubMed Central  Google Scholar 

  53. 53.

    Murbartian J, Arias JM, Lee JH, Gomora JC, Perez-Reyes E. Alternative splicing ofthe rat Cav3.3 T-type calcium channel gene produces variants with distinctfunctional properties. FEBS Lett. 2002;528:272–8.

    CAS  PubMed  Google Scholar 

  54. 54.

    Zhang L, Henson BS, Camargo PM, Wong DT. The clinical value of salivary biomarkers for periodontal disease. Periodontol 2000. 2009;51:25–37.

    PubMed  Google Scholar 

  55. 55.

    Mize TW, Sundararaj KP, Leite RS, Huang Y. Increased and correlated expression of connective tissue growth factor and transforming growth factor beta 1 in surgically removed periodontal tissues with chronic periodontitis. J Periodontal Res. 2015;50(3):315–9.

    CAS  PubMed  Google Scholar 

  56. 56.

    Jun JI, Lau LF. Taking aim at the extracellular matrix: CCN proteins as emerging therapeutic targets. Nat Rev Drug Discov. 2011;10(12):945–63.

    CAS  PubMed  PubMed Central  Google Scholar 

  57. 57.

    Yan C, Boyd DD. Regulation of matrix metalloproteinase gene expression. J Cell Physiol. 2007;211(1):19–26.

    CAS  PubMed  Google Scholar 

  58. 58.

    Jagels MA, Hugli TE. Mixed effects of TGF-beta on human airway epithelial-cell chemokine responses. Immunopharmacology. 2000;48(1):17–26.

    CAS  PubMed  Google Scholar 

  59. 59.

    Vezzoli G, Soldati L, Gambaro G. Roles of calcium-sensing receptor (CaSR) in renal mineral ion transport. Curr Pharm Biotechnol. 2009;10:302–10.

    CAS  PubMed  Google Scholar 

  60. 60.

    Bandyopadhyay BC, Swaim WD, Sarkar A, Liu X, Ambudkar IS. Extracellular Ca(2+) sensing in salivary ductal cells. J Biol Chem. 2012;287:30305–16.

    CAS  PubMed  PubMed Central  Google Scholar 

  61. 61.

    Lee J, Ko M, Joo CK. Rho plays a key role in TGF-beta1-induced cytoskeletal rearrangement in human retinal pigment epithelium. J Cell Physiol. 2008;216(2):520–6.

    CAS  PubMed  Google Scholar 

  62. 62.

    Hall A. Rho GTPases and the actin cytoskeleton. Science. 1998;279(5350):509–14.

    CAS  PubMed  Google Scholar 

  63. 63.

    Bhowmick NA, Ghiassi M, Bakin A, et al. Transforming growth factor-beta1 mediates epithelial to mesenchymal transdifferentiation through a RhoA-dependent mechanism. Mol Biol Cell. 2001;12(1):27–36.

    CAS  PubMed  PubMed Central  Google Scholar 

  64. 64.

    Wang L, Wang T, Song M, Pan J. Rho plays a key role in TGF-β1-induced proliferation and cytoskeleton rearrangement of human periodontal ligament cells. Arch Oral Biol. 2014;59(2):149–57. https://doi.org/10.1016/j.archoralbio.2013.11.004.

    CAS  Article  PubMed  Google Scholar 

  65. 65.

    Siqueira WL, de Oliveira E, Mustacchi Z, Nicolau J. Electrolyte concentrations in saliva of children aged 6-10 years with Down syndrome. Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 2004;98:76–9.

    PubMed  Google Scholar 

  66. 66.

    Siqueira WL, Siqueira MF, Mustacchi Z, de Oliveira E, Nicolau J. Salivary parameters in infants aged 12 to 60 months with Down syndrome. Spec Care Dentist. 2007;27:202–5.

    PubMed  Google Scholar 

  67. 67.

    Toda M, Morimoto K. Comparison of saliva sampling methods for measurement of salivary adiponectin levels. Scand J Clin Lab Invest. 2008;68:823–5.

    CAS  PubMed  Google Scholar 

  68. 68.

    Strazdins L, Meyerkort S, Brent V, D'Souza RM, Broom DH, Kyd JM. Impact of saliva collection methods on sIgA and cortisol assays and acceptability to participants. J Immunol Methods. 2005;307:167–71.

    CAS  PubMed  Google Scholar 

  69. 69.

    Siqueira WL, Oppenheim FG. Small molecular weight proteins/peptides present in the in vivo formed human acquired enamel pellicle. Arch Oral Biol. 2009;5:437–44.

    Google Scholar 

  70. 70.

    Siqueira WL, Margolis HC, Helmerhorst EJ, Mendes FM, Oppenheim FG. Evidence of intact histatins in the in vivo acquired enamel pellicle. J Dent Res. 2010;6:626–30.

    Google Scholar 

  71. 71.

    Siqueira WL, Lee YH, Xiao Y, Held K, Wong W. Identification and characterization of histatin 1 salivary complexes by using mass spectrometry. Proteomics. 2012;12:3426–35.

    CAS  PubMed  Google Scholar 

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Acknowledgements

Not applicable.

Funding

This research was funded by the Brazilian Research Council (CNPq grant #401390/2014–4), Canadian Institutes of Health Research (CIHR grants #106657 and 97577) and, Natural Sciences and Engineering Research Council of Canada (NSERC grant #06119). The funding body had no role in the design of the study, collection, analysis, and interpretation of data or in the writing of this manuscript.

Author information

Affiliations

  1. College of Dentistry, University of Saskatchewan, Saskatoon, SK, Canada

    Mayara Bringel, Paula Karine Jorge, Priscila Amanda Francisco, Robinson Sabino-Silva & Walter Luiz Siqueira

  2. Department of Pediatric Dentistry, Bauru School of Dentistry - University of São Paulo, Bauru, SP, Brazil

    Mayara Bringel, Paula Karine Jorge, Bella Luna Colombini-Ishikiriama & Maria Aparecida de Andrade Moreira Machado

  3. College of Veterinary Medicine, University of Saskatchewan, Saskatoon, SK, Canada

    Cadance Lowe

  4. Department of Physiology, Institute of Biomedical Sciences, Federal University of Uberlandia, Uberlandia, Minas Gerais, Brazil

    Robinson Sabino-Silva

Authors
  1. Mayara Bringel
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  2. Paula Karine Jorge
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  3. Priscila Amanda Francisco
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  4. Cadance Lowe
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  5. Robinson Sabino-Silva
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  6. Bella Luna Colombini-Ishikiriama
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  7. Maria Aparecida de Andrade Moreira Machado
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  8. Walter Luiz Siqueira
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Contributions

MAAMM, WLS, MB, PKJ and BLCI designed the experiments. PKJ performed the experiments. MB, PKJ, PAF and WLS, analyzed and interpreted the data. MB, managed study participant recruitment and sample collection. MAAMM, WLS, MB, PAF, RSS, CL, BLCI and PKJ, wrote and reviewed the manuscript. All authors have read and approved the final version of the manuscript.

Corresponding author

Correspondence to Walter Luiz Siqueira.

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Ethics approval and consent to participate

This study was approved by the Ethics Committee in the Teaching and Research on Animals of the Dental School of Bauru, University of São Paulo (number 002/2016); moreover, all the dogs’ owners signed consent forms.

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Not applicable.

Competing interests

The authors declare that they have no competing interests.

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Supplementary information

Additional file 1: Supplementary Table S1.

Proteins common to all participating dogs. Supplementary Table S2. Specific proteins identified in dogs without dental calculus. Supplementary Table S3. Specific proteins identified in dogs with dental calculus. Supplementary Table S4. Peptide sequence of the most abundant proteins from all groups and; Supplementary Table S5. Proteins-protein relationship involved in Reactome pathways in the group of dogs with dental calculus.

Additional file 2: Supplementary Figure 1.

Protein-protein interaction network of the specific proteins identified in dogs without dental calculus, based on STRING database and showing only connected proteins. Most abundant proteins in the network (Table 3) are marked with a rectangular outline. Legend: Amyloid-beta A4 protein (APP); Rho GDP dissociation inhibitor (GDI) alpha (ARHGDIA); Additional sex combs like transcriptional regulator 1 (ASXL1); BUB1 mitotic checkpoint serine/threonine kinase (BUB1); Calmodulin 3 (phosphorylase kinase, delta) (CALM3); Chemokine (C-C motif) receptor 7, belongs to the G-protein coupled receptor 1 family (CCR7); Centrosomal protein 152 kDa (CEP152); Centrosomal protein 162 kDa (CEP162); Chromodomain helicase DNA binding protein 3 (CHD3); Choroideremia (Rab escort protein 1) (CHM); Cytoplasmic linker associated protein 1 (CLASP1); CAP-GLY domain containing linker protein 1 (CLIP1); Component of oligomeric golgi complex 2 (COG2); Deltex 3 like, E3 ubiquitin ligase (DTX3L); Histone H2B (ENSCAFG00000031879); GTP binding protein (GTPBP2); Host cell factor C1 (HCFC1); HECT and RLD domain containing E3 ubiquitin protein ligase family member 1 (HERC1); Histidine-rich glycoprotein (HRG); Integrin beta (ITGB2); Uncharacterized protein, Kalirin, RhoGEF kinase (KALRN); Keratin, type I cytoskeletal 10 (KRT10); Keratin 24, belongs to the intermediate filament family (KRT24); Keratin 5, belongs to the intermediate filament family (KRT5); Keratin, type I cytoskeletal (KRT9); Histone H3 (LOC488263); Mitogen-activated protein kinase 6 (MAPK6); Neural precursor cell expressed, developmentally down-regulated 4-like, E3 ubiquitin protein ligase (NEDD4L); Neuromedin U receptor 1, belongs to the G-protein coupled receptor 1 family (NMUR1); Papillary renal cell carcinoma (translocation-associated) (PRCC); RAN binding protein 2 (RANBP2); Ras protein-specific guanine nucleotide-releasing factor 2 (RASGRF2); RAB6A GEF complex partner 1 (RIC1); RNA binding protein S1, serine-rich domain (RNPS1); Reticulon 4 (RTN4); Sphingosine-1-phosphate receptor 3, belongs to the G-protein coupled receptor 1 family (S1PR3); Serine/arginine repetitive matrix 2 (SRRM2); Serine/threonine kinase 10 (STK10); Transferrin (TF); Talin 2 (TLN2); Ubiquitin protein ligase E3 component n-recognin 1 (UBR1).Representation of protein-protein network inside the group of dogs without dental calculus with confidence score adopted at highest confidence-0.900

Additional file 3: Supplementary Figure 2.

Protein-protein interaction network of the specific proteins identified in dogs with dental calculus, based on STRING database and showing only connected proteins. Most abundant proteins present in the network (Table 4) are marked with a rectangular outline. Legend: ATP-binding cassette, sub-family A, member 13 (ABCA13); Actinin, alpha 4 (ACTN4); AT hook containing transcription factor 1 (AHCTF1); Fructose-bisphosphate aldolase (ALDOA); Annexin (ANXA1); ATR serine/threonine kinase (ATR); B9 protein domain 2; Canis lupus familiaris transforming growth factor, beta 1 (TGFB1), mRNA (B9D2); Canis lupus familiaris calcium-sensing receptor (CASR); Centriolar coiled coil protein 110 kDa (CCP110); Cyclin-dependent kinase 12 (CDK12); Canis lupus familiaris carcinoembryonic antigen-related cell adhesion molecule 1 (CEACAM1); Uncharacterized protein (CENPF), Centrosomal protein 250 kDa (CEP250); Cytoplasmic linker associated protein 1 (CLASP1); Cytoplasmic linker associated protein 2 (CLASP2); Ceruloplasmin (ferroxidase); Belongs to the multicopper oxidase family (CP); Dedicator of cytokinesis 2; Belongs to the DOCK family (DOCK2); Cyclin N-terminal domain-containing protein (ENSCAFG00000016600); Fas (TNFRSF6) binding factor 1 (FBXO43); Fibronectin (FN1); Uncharacterized protein (GOLGA2); General transcription factor IIF, polypeptide 1, 74 kDa (GTF2F1); HECT domain containing E3 ubiquitin protein ligase 1 (HECTD1); Uncharacterized protein; Belongs to the heat shock protein 70 family (HSPA8); Heat shock protein beta-1 (HSPB1); HECT, UBA and WWE domain containing 1, E3 ubiquitin protein ligase (HUWE1); Histone-lysine N-methyltransferase; Lysine (K)-specific methyltransferase 2D (KMT2D); Keratin 13 (KRT13); Keratin 3 (KRT3); L-lactate dehydrogenase (LDHA); Glyceraldehyde-3-phosphate dehydrogenase (LOC477441); Histone H3 (LOC483167); Matrix metalloproteinase-9 (MMP9); Nibrin (NBN); non-SMC condensin II complex, subunit D3 (NCAPD3); Condensin complex subunit 2 (NCAPH); Nuclear receptor corepressor 1 (NCOR1); Nuclear receptor corepressor 2 (NOL10); Nucleolar protein 6 (NOL6); Profilin 1 (PFN1); Phosphatidylinositol binding clathrin assembly protein (PICALM); Polycystin 2 (PKD2); Serine/threonine-protein kinase PLK; Polo-like kinase 1 (PLK1); Polymerase (DNA directed), epsilon, catalytic subunit (POLE); Protein phosphatase 1, regulatory subunit 12A (PPP1R12A); Protein tyrosine kinase 2 (PTK2); Uncharacterized protein (RAB3IP); RB1-inducible coiled-coil 1 (RB1CC1); RB binding protein 6, ubiquitin ligase; Retinoblastoma binding protein 6 (RBBP6); Regulatory associated protein of MTOR, complex 1 (RPTOR); U4/U6.U5 tri-snRNP-associated protein 1; Squamous cell carcinoma antigen recognized by T cells (SART1); SEC31 homolog A, COPII coat complex component; SEC31 homolog A (SEC31A); SET domain containing 1A (SETD1A); SH2 domain containing adaptor protein B (SHB); Spectrin, beta, non-erythrocytic 1 (SPTBN1); Uncharacterized protein (SRGAP2); Transaldolase (TALDO1); Transcobalamin I (TCN1); Thrombospondin 1 (THBS1); Tenascin R (TNR); Tumor protein p53 binding protein 1 (TP53BP1); Trafficking protein particle complex 6A (TRAPPC6A); Thyroid hormone receptor interactor 12 (TRIP12); U-box domain containing 5 (UBOX5); Unc-51 like autophagy activating kinase 2 (ULK2); Versican (VCAN). Representation of protein-protein network inside the group of dogs with dental calculus with confidence score adopted at highest confidence-0.900.

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Bringel, M., Jorge, P.K., Francisco, P.A. et al. Salivary proteomic profile of dogs with and without dental calculus. BMC Vet Res 16, 298 (2020). https://doi.org/10.1186/s12917-020-02514-0

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Keywords

  • Mass spectrometry
  • Saliva
  • Dogs
  • Proteome
  • Dental Calculus

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