Analysis of age and gender associated N-glycoproteome in human whole saliva
- Shisheng Sun†1,
- Fei Zhao†1,
- Qinzhe Wang†1,
- Yaogang Zhong1,
- Tanxi Cai2,
- Peng Wu2,
- Fuquan Yang2Email author and
- Zheng Li1Email author
© Sun et al.; licensee BioMed Central Ltd. 2014
Received: 1 October 2013
Accepted: 9 April 2014
Published: 5 June 2014
Glycoproteins comprise a large portion of the salivary proteome and have great potential for biomarker discovery and disease diagnosis. However, the rate of production and the concentration of whole saliva change with age, gender and physiological states of the human body. Therefore, a thorough understanding of the salivary glycoproteome of healthy individuals of different ages and genders is a prerequisite for saliva to have clinical utility.
Formerly N-linked glycopeptides were isolated from the pooled whole saliva of six age and gender groups by hydrazide chemistry and hydrophilic affinity methods followed by mass spectrometry identification. Selected physiochemical characteristics of salivary glycoproteins were analyzed, and the salivary glycoproteomes of different age and gender groups were compared based on their glycoprotein components and gene ontology.
Results and discussion
Among 85 N-glycoproteins identified in healthy human saliva, the majority were acidic proteins with low molecular weight. The numbers of salivary N-glycoproteins increased with age. Fifteen salivary glycoproteins were identified as potential age- or gender-associated glycoproteins, and many of them have functions related to innate immunity against microorganisms and oral cavity protection. Moreover, many salivary glycoproteins have been previously reported as disease related glycoproteins. This study reveals the important role of salivary glycoproteins in the maintenance of oral health and homeostasis and the great potential of saliva for biomarker discovery and disease diagnosis.
KeywordsSaliva Glycoproteome Glycoproteins Age Gender Hydrazide chemistry Hydrophilic affinity Mass spectrometry
Whole saliva is a slightly cloudy colorless liquid which is mainly comprised of the secretions of the parotid, submandibular, sublingual and minor salivary glands, and it exhibits multiple host defense functions in the maintenance of oral health . Compared to other body fluids such as blood, cerebral spinal fluid (CSF) and urine, the collection of whole saliva is easy, noninvasive, safe, simple and cost-effective. Moreover, the significant overlap in protein content between saliva and plasma also suggests that saliva could be a potentially attractive fluid for disease biomarker discovery as well as a diagnostic alternative to blood tests [2, 3]. However, a thorough understanding of whole saliva is a prerequisite for human saliva to have diagnostic utility.
For this reason, several salivary studies have focused on the proteomic composition of human whole saliva. In the published proteomic study of whole saliva, in 2004, Hu et al. identified 64 non-redundant proteins using 2D-gel electrophoresis (2-DE) coupled with mass spectrometry (MS) analysis. In the following years, more advanced technologies for pre-separation and MS identification such as 2D-LC-MS/MS were used, and the numbers of identified salivary proteins increased to more than 1,500 [5–8].
The analysis of the salivary glycoproteome has also been conducted. Glycosylation is a common posttranslational modification which plays an important role in many cellular processes, e.g., protein conformation, folding, transport, targeting, and stability . Many biological processes such as cell growth, differentiation, cell–cell communication, immune response, and microbial pathogenesis are also effected by glycosylation [10–13]. Moreover, glycosylation changes in glycoproteins have been identified in various diseases and can be used as biomarkers for disease diagnosis or prognosis [14, 15]. Therefore, it is not surprising that there has been an increasing effort in applying glycoproteomic technologies to identify additional disease biomarkers from specific organs or in bodily fluids. These methods include lectin affinity, hydrazide chemistry, hydrophilic affinity, boronic acid affinity, size exclusion chromatography, and titanium dioxide-based enrichment [16–22]. Ramachandran, et al. was the first group to publish a study related to the salivary glycoproteome. They identified 84 formerly N-glycosylated peptides corresponding to 45 glycoproteins using the hydrazide capture technique coupled with mass spectrometry analysis . Larsen et al. used the TiO2 enrichment strategy to isolate the whole salivary sialome, and 97 N-linked glycosylation sites were identified . Ramachandran, et al. subsequently extended the salivary glycoprotein catalogue using the modified hydrazide capture method, and they identified a total of 156 formerly N-glycosylated peptides representing 77 unique N-glycoproteins in salivary fluid . Most recently, using a novel hexapeptide library method, Bandhakavi, et al. significantly increased the number of salivary glycoproteins to 192 . However, all these salivary N-glycoproteins were either from adult donors or the specific age and gender annotations were missing.
It is known that the composition of saliva changes with the physiological states of the human body . The rate of production and the concentration of saliva differ before and after meals. Additionally, there are known differences in the production and concentration of saliva according to age and gender. It has been reported that the structure and function of salivary glands change with age and gender [27, 28]. Animal research as well as human studies have revealed gender differences in the composition and production rate of saliva [29–31]. Moreover, women are more frequently affected by autoimmune diseases, such as Sjogrens syndrome and systemic lupus erythematosus, which affect salivary gland function . Therefore, the first step toward the development of saliva diagnostic tests requires an understanding of the protein expression profiles of healthy individuals of different ages and genders.
In this study, two glycopeptide extraction methods, hydrazide chemistry and hydrophilic affinity, were employed coupled with mass spectrometry analysis to profile the whole salivary N-glycoproteomes of six different age and gender groups. The composition and biological functions of the whole salivary glycoproteomes among various age and gender groups were compared to determine differentiating trends. The results can facilitate an improved understanding of the significant functions of salivary glycoproteins in oral health and homeostasis as well as enhance the great potential of saliva for biomarker discovery and disease diagnosis.
Results and discussion
Protein concentrations and composition of human whole saliva
Identification of salivary N-glycoproteins
Comparison of salivary N-glycoproteomes among different age groups
To further understand the age-associated alterations of the human salivary N-glycoproteome, a comparison of human salivary N-glycoproteomes was conducted among different age groups after mass spectrometry identification. Note that for some glycoproteins, the differences among different age and gender groups detected in this study might just reflect the concentration changes of the glycoproteins in the whole saliva among age and gender groups.
In the female groups, the number of N-glycoproteins (N-deglycopeptides) identified from the children, young adult, and elderly groups was 58 (106), 55 (96), and 64 (106), respectively (Figure 3B). Of these, 46 N-glycoproteins were identified in all three age groups; five, seven and two glycoproteins were not identified in the children, young adult and elderly groups, respectively. Similarly, there were three, two, and six N-glycoproteins that were uniquely identified from the whole saliva of the children, young adult, and elderly groups, respectively. Based on these results, there was an increasing trend in the number of salivary N-glycoproteins that was associated with increasing age, and the increase in the number of N-glycoproteins was higher in the male groups than in the female groups, except for the female adult group which exhibited a small decrease compared to the female children group (Figure 3C).
Age- and gender-associated salivary glycoproteins
Age or gender group
Isoform 1 of Kallikrein- 11
Isoform 2 of Golgi membrane protein 1
Hypoxia up-regulated protein 1
Isoform 1 of Long palate, lung and nasal epithelium carcinoma-associated protein 1
Children, young adults
UPF0762 protein C6orf58
Children, young adults
Young adults, elderly
Pigment epithelium-derived factor
Male young adults, male elderly
Male young adults, male elderly
Inter-alpha (Globulin) inhibitor H2, isoform CRA_a
Female young adults, female elderly
Monocyte differentiation antigen CD14
Female young adults, female elderly
Plasma protease C1 inhibitor
All female groups, male elderly
All female groups, male elderly
All female groups, male children
Comparison of salivary N-glycoproteomes among different gender groups
The results showed that some glycoproteins might also be associated with gender (Table 1). For example, Pigment epithelium-derived factor (PEDF) and eosinophil peroxidase (EPX) were only identified in the whole saliva of the male young adult and elderly groups. Inter-alpha (Globulin) inhibitor H2, isoform CRA_a and monocyte differentiation antigen CD14 (CD14) were identified in the female young adult and elderly groups. Plasma protease C1 inhibitor (SERPING1) was not identified in the male children and young adult groups and mucin 7 was not identified in the male young adult and elderly groups. Many of these glycoproteins, especially some female-specific glycoproteins, are also immune associated proteins. For example, CD14 mediates the innate immune response to bacterial lipopolysaccharide ; SERPING1 may potentially play a crucial role in regulating important physiological pathways including complement activation and blood coagulation ; A2M is involved in complement and coagulation cascade pathways ; and mucin-7 may have a protective capacity in promoting the clearance of bacteria in the oral cavity .With normal aging, the physiological states of the human body and microbial communities in the oral cavity may change significantly, which might cause changes in the salivary glycoproteome . The majority of the proteins that were commonly identified in all six age and gender groups, including prolyl-rich protein, statherin, cysteine containing nitric acid protein, mucin, amylase, and salivary peroxidase are the basic protein components of saliva. Conversely, many proteins that were specifically expressed in different age and gender groups might function to regulate the physiological states of the human body and adapt to the specific microbial community in the oral cavity. Therefore, these age- and gender-associated glycoproteins might play a dominant role in the maintenance of oral health  and the immune response .
Gene ontology (GO) analysis and disease association
With regard to biological processes (Figure 5C), the numbers of salivary N-glycoproteins belonging to most of the categories increased with age in the male groups, especially the N-glycoproteins that are involved in biological adhesion, biological regulation, cellular component organization, cellular process, death, development process, metabolic process, multicellular organismal process, pigmentation, and response to stimulus biological processes. Interestingly, one N-glycoprotein involved in cell killing (IPI00022395) and two proteins involved in reproduction (IPI00103633, IPI00006114) were also identified in the whole salivary proteome of adults and/or old males. Some exceptions to the age-related trend in the number of N-glycoproteins were determined. In particular, the numbers of salivary N-glycoproteins identified in the female young adult groups decreased slightly compared to the numbers identified in the female children, but the overall trend was also an increasing tendency with age. Of these, the number of immune-related glycoproteins increased with age in both male and female groups. However, in the younger age group, the number of immune, biological regulation, inhibition of enzyme activity and protein binding related salivary glycoproteins was significantly higher in females than in males. This difference was reduced with age and the level of these functional glycoproteins was largely similar between genders in the elderly group. These results may demonstrate the significant functions of salivary glycoproteins in oral health and homeostasis.
To assess the potential of salivary glycoproteins for disease biomarker discovery and diagnostic efforts, the association of salivary glycoproteins with human systematic diseases was also illustrated. Among the 85 proteins identified in the human whole saliva, 44 proteins (51.8%) were associated with human disease in a genetic association database and an OMIM disease database based on DAVID functional annotation (Additional file 4: Table S2). For example, nine glycoproteins including alpha-2-macroglobulin (IPI00478003) and myeloperoxidase (IPI00007244) are related to Alzheimer’s disease. Nineteen, 14, 17 and 15 salivary N-glycoproteins are associated with metabolic, neurological, immune, and cardiovascular diseases, respectively. These results indicate the great potential of saliva for biomarker discovery and disease diagnosis.
Comparison of two glycopeptides isolation methods
A combination of hydrazide chemistry and hydrophilic affinity methods was used to increase the identification coverage of salivary glycoproteomes. Among 85 salivary N-glycoproteins (156 formerly N-glycopeptides) identified in the study, 43 N-glycoproteins (72 formerly N-glycopeptides) were identified by both methods, 39 N-glycoproteins (74 N-glycopeptides) were identified by hydrazide chemistry method uniquely, and 3 N-glycoproteins (10 N-glycopeptides) were identified uniquely by hydrophilic affinity method (Additional file 2: Table S1). Although some complementarity existed in two methods in the study, the hydrazide chemistry method showed higher specificity and identification rate of salivary N-glycoproteins than hydrophilic affinity method. This may be due to the inherent characteristic of these two methods: hydrazide resin captures glycoproteins/glycopeptides by covalent bonding, and thus non-specific adsorbed proteins can be thoroughly removed by intensely washing without any loss of glycopeptides. While Sepharose cell-4B captures glycoproteins/glycopeptides with hydrophilic interaction. The washing needs to be much mild, or many glycopeptides may be lost in the washing process. Besides, O-glycopeptides will also be released from Sepharose cell-4B in the elution process which may interfere with N-deglycopeptide identification by mass spectrometry. All the above reasons might result in the relatively low identification rate of the hydrophilic affinity method.
In this study, the formerly N-linked glycopeptides of whole saliva were isolated, identified and compared among six different age and gender groups. The results showed that most salivary glycoproteins are acidic with low molecular weight. The number of salivary N-glycoproteins had an increasing age-associated trend, and the rate of increase was higher in the male groups than in the female groups. Fifteen salivary glycoproteins could be associated with gender or age. Based on their biological functions and gene ontology, many of the glycoproteins, especially those that were uniquely identified or not identified in the elderly groups, were involved in immune response and oral cavity protection. Moreover, more than half of the identified salivary glycoproteins were associated with human disease pathways. The data reveal the important role of salivary glycoproteins in the maintenance of oral health and homeostasis and the great potential of saliva for biomarker discovery and disease diagnosis.
Materials and methods
Human whole saliva collection
(1) Subject selection. Fifty-three healthy children (28 males and 25 females) between 5 and 7 years of age (mean age of 6.2 years), 26 young adults (13 males and 13 females) between 21 and 25 years of age (mean age of 24.5 years), and 30 elderly individuals (16 males and 14 females) between 65 and 90 years of age (mean age of 71.7 years) were selected from a primary school, our laboratory and a home for the aged. The subjects were randomized prior to their participation in the study. (2) Saliva collection. Whole, un-stimulated saliva was collected from subjects in the morning, 2 h after the last intake of food. The donors were asked to rinse their mouth with normal saline immediately before collection. The whole saliva was collected and placed on ice before being centrifuged at 12,000 rpm at 4°C for 60 min. The supernatant was collected and protease inhibitor (1 μL/ml whole saliva) was added to minimize protein degradation. Equal volumes of individual saliva samples were pooled to construct different age and gender pools that were as homogeneous as possible to reduce the individual variance, and the protein amount was measured using a BCA protein analysis kit (Pierce, Rockford, IL). The mixed saliva was stored at -80°C.
The collection of human whole saliva with informed consent was approved by the Human Ethics Committee of Northwest University and conducted in accordance with the ethical guidelines of the Declaration of Helsinki.
The mixed human whole saliva proteins were analyzed by SDS-PAGE. Ten μL of the samples were mixed with 2 × loading buffer, boiled for 5 min at 95°C, and applied onto a discontinuous 10% polyacrylamide gel. After SDS-PAGE, the bands on the gels were visualized via silver staining.
Extraction and trypsin digestion of whole salivary proteins
Whole saliva containing 1 mg of proteins was concentrated by a 3kD Amicon Ultra centrifugal filter device (Millipore, Bradford, MA, USA) with denaturing buffer  (8 M urea in 0.1 M NH4HCO3 solution, pH 8.3) at 12,000 g for 20 min at 4°C (repeated three times) to exchange the solvent and denature the salivary proteins. The salivary proteins were then reduced by 5 mM DTT at 60°C for 60 min and alkylated by 20 mM iodoacetamide at room temperature in the dark for 30 min. The solution was diluted 5-fold with 0.1 M ammonia bicarbonate (pH 8.3) and the proteins were digested with 20 μg sequencing-grade modified trypsin (trypsin: protein, 1:50, w/w) overnight at 37°C. Digestion was terminated by acidifying the sample mixture with TFA to pH <3. The peptides were desalted by a Sep-Pak® Vac C18 cartridge (Waters, Milford, MA) and eluted in 0.4 mL of 80% ACN/0.1% TFA. The peptides were then divided into two equal aliquots. One aliquot was used for formerly N-glycopeptide isolation by the hydrazide chemistry method, while the other aliquot was used for formerly N-glycopeptide isolation by the hydrophilic affinity method.
Formerly N-linked glycopeptide isolation using hydrazide chemistry
The N-glycopeptides of salivary proteins were enriched by the hydrazide method according to previously described protocols [51, 52]. Briefly, half of the peptides (~0.5 mg) from each group were oxidized by 10 mM sodium periodate at room temperature for 1 h in the dark. The oxidized peptide samples were diluted 16-fold with 0.1% TFA and purified by C18 column. The peptides were eluted directly into hydrazide resin (Bio-Rad, Hercules, CA) and incubated overnight at room temperature with shaking.
The resin was washed three times each with 80% ACN, 1.5 M NaCl and D.I. water. The formerly N-linked glycopeptides were released from resin via 2 μL PNGase F (New England Biolabs, Beverly, MA) in 100 μl of 25 mM ammonium bicarbonate at 37°C overnight with shaking. The supernatant and wash solutions were combined and dried via SpeedVac.
Glycopeptide enrichment by hydrophilic affinity method
The remaining half of the tryptic peptides (~0.5 mg) was mixed with agarose–hydrophilic resin (Sigma-Aldrich, St. Louis, MO) to bind the glycopeptides to the resin. After gently shaking for 45 min, the microcentrifuge tube was centrifuged (9,000 g, 5 min), and the resulting supernatant was removed. The resin was then washed three times with 80% ACN to remove non-glycosylated peptides. Finally, the glycopeptides bound to the resin were eluted twice with 200 μL H2O. The elution solutions were combined and were concentrated to ~50 μL by vacuum centrifugation. The N-glycans were removed from N-glycopeptides via 2 μl PNGase F overnight at 37°C with shaking in 25 μl of 100 mM ammonium bicarbonate solution. The solution was dried via SpeedVac.
The lyophilized peptides were resuspended in 25 μL of 0.1% FA, and 8 μL was used for each LC-MS/MS run. LC-MS/MS analysis of peptides was conducted using an LC Packing nano-LC system (Agilent 1200 series) with a nanoelectrospray chip interface (Agilent) and a quadrupole TOF mass spectrometer (Agilent 6530 Accurate-Mass Q-TOF LC/MS, USA). The samples were first loaded onto an HPLC-Chip (G4240-62010, Zorbax 300SB C18 particles) for nano-LC separation at a flow rate of 300 nL/min. The eluents used for the LC were (A) 1% ACN/0.1% FA and (B) 90% ACN/0.1% FA. A gradient was utilized from 3% B to 10% B in 10 min, from 10% B to 45% B in 70 min, from 45% B to 95% B in 10 min, and held at 95% B for 15 min. Then the column was re-equilibrated for 15 min before the next run. Due to the statistical fluctuations of peptide precursor selection during the MS/MS acquisition, two LC-MS/MS assays were run for each sample to facilitate a proper proteome comparison.
Data mining and analysis
Protein identification was accomplished utilizing the MASCOT database search engine (v.2.3.02, Matrix Science, London). The MS/MS spectra were used to search the IPI human 3.74 database in which trypsin and up to one miscleavage were specified. Carbamidomethylation (C) was set as a fixed modification, while oxidation (M) and deamination (N) were set as variable modifications. A peptide tolerance of 20 ppm and a tolerance of ± 0.7 Da for the fragment ions were used. The peptide identification was filtered by a Mascot Score above 30 with p < 0.05. N-Glycopeptide identification were filtered by a deamidated (N) site at N-X-S/T motif (X is any amino acid except Pro) to reduce potential false positive identification .
Bioinformatic analysis of salivary glycoproteins
Gene Ontology (GO) analysis of the identified glycoproteins was conducted by Blast2GO , and comparative GO analysis between different age and gender groups was conducted by WEGO . The whole analysis process was conducted according to standard operating procedures. The molecular weight and isoelectric point of the identified glycoproteins were obtained by MASCOT. Disease-associated salivary glycoproteins were identified by DAVID  functional enrichment analysis according to standard procedures.
This work is supported by NFSC (Grant No. 81372365) and the international S&T cooperation program (2009DFA32730) from the Chinese Ministry of Science and Technology. The authors thank Dr. Hua Zhang of the Shaanxi Provincial People’s Hospital for her excellent technical assistance.
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