Abstract
The study of saliva O-glycosylation is receiving increasing attention due to the potential of glycans for disease biomarkers, but also due to easy access and non-invasive collection of saliva as biological fluid. Saliva is rich in glycoproteins which are secreted from the bloodstream or produced by salivary glands. Mucins, which are highly O-glycosylated proteins, are particularly abundant in human saliva. Their glycosylation is associated with blood group and secretor status, and represents a reservoir of potential disease biomarkers. This study aims to analyse and compare O-glycans released from whole human mouth saliva collected 3 times a day from a healthy individual over a 5 days period. O-linked glycans were released by hydrazinolysis, labelled with procainamide and analysed by ultra-high performance liquid chromatography with fluorescence detection (UHPLC-FLR) coupled to electrospray ionization mass spectrometry (ESI-MS/MS). The sample preparation method showed excellent reproducibility and can therefore be used for biomarker discovery. Our data demonstrates that the O-glycosylation in human saliva changes significantly during the day. These changes may be related to changes in the salivary concentrations of specific proteins.
Introduction
Saliva is a unique fluid that lubricates and buffers the oral cavity [1–2]. It protects the oral cavity from microbial attack involving both the innate and acquired immune surveillances. Saliva is a structurally very complex secretion containing components from a variety of glands such as the parotid, submaxillary, sublingual and submandibular glands and some minor glands in the lip, cheek, tongue and palate [3]. Saliva contains a wide spectrum of microbes, epithelial cells, proteins/peptides, electrolytes, hormones, nasal and bronchial secretions and serum product [4–7].
Saliva contains many glycoproteins, some of which are highly glycosylated (such as MUC5B and MUC7) as well as salivary agglutinin, secretory immunoglobulin A (sIgA), lactoferrin, amylase and proline-rich glycoproteins [8]. Mucins are dominant compounds in human saliva and play an important role in the maintenance of oral health and protection of teeth as part of the first line oral defence [9–10]. Many glycoproteins bind to a variety of bacteria and either aid or prevent adherence of bacteria to mucosal and tooth surfaces or lubricate tooth surfaces and possibly protect proteins from proteolytic attack [11].
Bacteria usually have a net negative surface charge and therefore tend not to bind directly to negatively charged mucins. Instead, they may interact through bridging reagents involving divalent cations such as Ca2+ ions. However, many bacteria express cell surface proteins (lectins) that specifically recognize oligosaccharides present on the salivary mucins. In this manner salivary mucins are bound by multiple bacteria resulting in agglutination. Removal of the terminal sialic acids from the oligosaccharide side chains of salivary mucins was found to abolish agglutination of oral streptococci, indicating that the bacterial lectin has specificity for sialic acids [12]. Salivary agglutinin, a highly glycosylated protein frequently associated with other salivary proteins and with secretory immunoglobulin A (IgA), is one of the main salivary components responsible for bacteria agglutination [13].
Secretory IgA is the most abundant humoral immunologic component of saliva. It can neutralize viruses, bacteria, and enzyme toxins. It binds bacterial antigens and is able to aggregate bacteria and inhibit their adherence to oral tissues [14–15]. Other immunologic components, such as IgG and IgM, occur in lower quantity and probably originate from gingival fluid [16].
Salivary composition shows associations with various oral and systemic diseases [17–22], and significant age- or sex-related differences have been reported with respect to genomic [23, 24]and proteomic expression levels [25–27].
Recently, interest in glycomics (the study of the spectrum of glycans expressed in a biological system) has increased due to the potential clinical utility of glycans as disease biomarkers [28]. Glycosylation of proteins is a complex and common post-translational modification influencing many biological functions. There are two main types of glycosylation found in eukaryotes: N-glycosylation and O-glycosylation. On salivary glycoproteins, N-glycans are structurally diverse encompassing the high mannose, hybrid and complex N-glycan subclasses. The O-glycans comprise various O-glycan core types, with optionally fucoses in different linkages as well as sialylation and sulphation [29, 30]. It has been reported that salivary MUC5B contains O-glycans which vary between individuals and that some of this variation is related to blood group and secretor status [31]. Also O-glycans attached to salivary MUC7 showed changes in the patients with recurrent aphthous stomatitis (RAS). Patients with RAS have less complex O-glycans, suggesting that there are bacterial oligosaccharide-degrading enzymes that reduce glycan complexity [32].
Human saliva proteomics has proven to be a novel approach in the search for protein biomarkers for detection of diseases [31], including cancer, autoimmune diseases, viral diseases, bacterial diseases, cardiovascular diseases, and human immunodeficiency virus (HIV) [2, 33]. It has become clear that proteomic composition of saliva can reflect the pathological as well as physiological state [34, 35]. Recently, a growing number of proof-of-principle assays have been established using saliva to monitor diseases or bodily conditions such as infection, immune responses to viral infections, systemic levels of drugs, and the detection of illicit drug use [36]. Saliva profiling over the course of disease progression could reveal potential biomarkers indicative of different stages of diseases, which may be useful in medical diagnostics. This follows from several studies showing that glycosylation patterns in other body fluids such as plasma correlate with progression of certain diseases, including inflammatory conditions and subclasses of diabetes [37–39].
Here, we describe the evaluation of longitudinal changes in salivary O-glycosylation profiles using samples collected 3 times a day over a 5 days period. The O-glycans were released by hydrazinolysis using a recently developed improved protocol [40] and fluorescently labelled with procainamide, followed by HILIC-UHPLC-FLR-ESI-MS analysis. The chosen techniques proved to be suitable to demonstrate major changes in the salivary O-glycome during the day.
Materials and Methods
Materials
All reagents and kits for O-glycan release, labelling and clean-up were from Ludger Ltd. (Oxford, UK). Centrifugal filter devices with a molecular weight cut-off (MWCO) membrane of 10 kDa were obtained from Fisher Scientific UK (Leicestershire, UK). Acetonitrile (Romil; 190 SpS for UV/ gradient quality) was obtained from Charlton Scientific (Charlton, Oxon, UK). Fetuin glycoprotein was from Ludger Ltd and all other reagents were obtained from Sigma-Aldrich (Dorset, UK). Procainamide labelling was performed on a Hamilton Microlab STARLet liquid-handling robotic platform.
Collection of saliva
Whole unstimulated saliva (5 mL) was collected 3 times a day over a 5 days period from two human donors. Volunteers were asked to rinse their mouths with water for 30 seconds to remove any food particles. Donors were also asked to retain from eating 2 h prior to collection [3]. PBS supplemented with protease inhibitor cocktail (2 mL, AEBSF at 2 mM, Aprotinin at 0.3 μM, Bestatin at 116 μM, E-64 at 14 μM, Leupeptin at 1 μM and EDTA at 1 mM) and antibiotic-antimycotic mixture containing 10,000 units penicillin, 10 mg streptomycin and 25 μg amphotericin B per mL were added to each saliva sample. The saliva samples were clarified by centrifugation at 3000 x g at 4°C for 20 min to remove cellular debris. The supernatant was concentrated [29] using centrifugal filter device (10 kDa MWCO membrane). Samples were then stored at -20°C until required for further experimentation.
Release of O-glycans by hydrazinolysis
The saliva samples and fetuin glycoprotein (used as a positive control) were buffer exchanged into 0.1% TFA prior to hydrazinolysis as described previously [40]. Samples were transferred to glass vials and dried down for 16 h by vacuum centrifugation prior to the addition of hydrazine.
Fetuin and saliva samples were incubated with 450 μL anhydrous hydrazine (Ludger) at 60°C for 6 h [41, 42]. Excess hydrazine was removed by centrifugal evaporation. The samples were placed on ice for 20 min (0°C) and were re-N-acetylated by addition of 0.1 M sodium bicarbonate solution (200 μL) and acetic anhydride (21 μL). Samples were cleaned up by passing them through the Ludger Clean CEX cartridges (Ludger). The O-glycans were eluted off the cartridges using water (3 x 0.5 mL). Eluates were dried by vacuum centrifugation prior to fluorescent labelling.
Procainamide labelling
Of the released O-glycans, 40% was fluorescently labelled with procainamide as described previously [43] using Ludger procainamide glycan labelling kit containing 2-picoline borane. Briefly, samples in 10 μL of water were mixed with 10 μL of procainamide labelling solution and incubated at 65°C for 1 h. The samples were evaporated to dryness by vacuum centrifugation and re-suspended in water (100 μL) for further analysis.
LC-ESI-MS and MS/MS analysis
Procainamide labelled samples were analysed by HILIC-UHPLC-ESI-MS with fluorescence detection. Samples were injected in 10% water/90% acetonitrile (injection volume 25 μL) onto an ACQUITY UPLC BEH-Glycan 1.7 μm, 2.1 x 150 mm column at 60°C on a Ultimate 3000 UHPLC instrument with a fluorescence detector (λex = 310nm, λem = 370nm; Thermo Scientific). The running conditions used were: Solvent A was 50 mM ammonium formate pH 4.4 made from Ludger Stock Buffer (Ludger), and solvent B was acetonitrile. Gradient conditions were: 0 to 10 min, 90% B; 10 to 95 min, 90 to 57% B at flow rate 0.4 mL/min; 95 to 98 min, 57 to 0% B at a flow rate of 0.4 mL/min; 98 to 99 min, 0% B at a flow rate of 0.25 mL/min; 99 to 100 min, 0% B at a flow rate of 0.25 mL/min. 100 to 103 min, 90% B at a flow rate 0.25 mL/min; 103 to 115 min, 90% B at a flow rate 0.4 mL/min. The UHPLC system was coupled on-line to an Amazon Speed ETD (Bruker Daltonics, Bremen, Germany) with the following settings: source temperature 250°C, gas flow 10 L/min; Capillary voltage 4500 V; ICC target 200,000; maximum accumulation time 50 ms; rolling average 2; number of precursors ions selected 3, release after 0.2 min; Positive ion mode; Scan mode: enhanced resolution; mass range scanned, 200–1600; Target mass, 900. A glucose homopolymer ladder (Ludger), labelled with procainamide was used as a system suitability standard as well as an external calibration standard for GU allocation [44].
Sample variation
Using in-house developed scripts, raw HILIC chromatograms for 2 individuals were exported from Chromeleon 7.1 (Dionex, USA) and aligned by applying the least variance linear fit through the highest data points observed within ± 0.25 min window around retention times 22.33, 27.13, 28.70, 29.28, 32.43 and 33.64 min. Then, for each chromatogram independently, the areas of the 7 most abundant peaks were integrated centering at 20.55 min (within a ± 0.5 min window), 22.26 (± 0.35), 23.99 (± 0.35), 24.74 (± 0.5), 27.17 (± 0.35), 32.39 (± 0.25) and 33.57 (± 0.25). The obtained peak areas were normalized to the total area sum within each chromatogram, and expressed in stripplot format using R version 3.1.2 (R Foundation for statistical computing, Vienna Austria).
Ethics statement
The Research Ethic Committee (NHS Health Research Authority, Surrey Borders REC London, UK) granted approval for this study with all participants giving written, informed consent (REC 16/LO/0883; IRAS project ID: 203515).
Results and Discussion
Evaluation of method repeatability
The release and recovery of O-glycans still remains very challenging because there is no universal enzyme available for O-glycan release from glycoproteins. Therefore, the current best methods for universal O-glycan release rely on rather harsh chemistry. Over the last two decades a number of chemical methods for O-glycan removal have been developed, including reductive and non-reductive β-elimination and hydrazinolysis [45]. It has been reported that the most suitable method for universal O-glycan release in their non-reduced form in high yields is hydrazinolysis [41]. We decided to use this technique to release O-glycans from human saliva because the released O-glycans contain free reducing termini allowing further derivatization with fluorescent tags and analysis by HPLC-based methods [40, 46].
First, we investigated whether the sample preparation and glycan release method is suitable for saliva samples. Using fetuin glycoprotein and a saliva reference sample collected from a single individual as positive controls, we evaluated the O-glycan preparation and O-mode hydrazinolysis. Triplicates of bovine fetuin and saliva samples were buffer exchanged into 0.1% TFA prior to release [40]. The O-glycans were released using anhydrous hydrazine, labelled with procainamide and analysed by HILIC-UHPLC with fluorescence detection providing good glycan separation, coupled to ESI-MS and MS/MS providing glycan composition.
The HILIC-UHPLC profiles for triplicate releases of O-glycans from fetuin sample (Fig 1) were consistent with previously published data [46, 47]. The fetuin profiles contain 6 main peaks corresponding to: core 1, Galβ1–3GalNAc (peak 1); monosialylated core 1 O-glycans, Neu5Acα2–3Galβ1–3GalNAc (peak 3); and Neu5Acα2–6(Galβ1–3)GalNAc (peak 4); disialylated core 1 O-glycan, Neu5Acα2–3Galβ1–3(Neu5Acα2–6)GalNAc (peak 5); and disialylated core 2 O-glycan, Neu5Acα2–3Galβ1–3(Neu5Acα2–3Galβ1–4GlcNAcβ1–6)GalNAc (peak 6). The peeled product Neu5Acα2–3Gal (peak 2, Fig 1) was also detected. To confirm the identity of observed peaks (peaks 1–6, Fig 1) the procainamide labelled O-glycans were characterized by ESI-MS/MS. The results from HILIC-UHPLC coupled to ESI-MS/MS are summarised in S1 Table and an example of fragmentation analysis of procainamide labelled O-glycans is shown in S1 Fig. The glycan peak areas for each release were very similar with the standard deviation between the samples below 5.5% for all peaks (Fig 2).
The robustness of the O-glycosylation analysis method was also tested on the saliva standard. The O-glycans were released by anhydrous hydrazine, labelled with procainamide and analysed by HILIC-UHPLC-ESI-MS with fluorescence detection. The HILIC-UHPLC profiles for triplicate releases of O-glycans from whole saliva sample are shown in Fig 3. As the profiles were very complex we selected a subset of 18 peaks for comparison. These peaks were analysed by ESI-MS/MS to determine O-glycan composition. The glycan peak areas for selected peaks were very similar with the standard deviation between the samples below 1% (Fig 4). Thus, O-mode hydrazinolysis, procainamide labelling systems and UHPLC-ESI-MS/MS analysis are highly reproducible and suitable for the analysis of human saliva samples.
Longitudinal analysis of O-glycans from human saliva
O-glycans were released from saliva (collected 3 times a day over a 5 days period from 2 individuals) by hydrazinolysis after acidic wash, labelled with procainamide and analysed by UHPLC-ESI-MS/MS. Only one sample was taken through ESI-MS/MS analysis. As the obtained HILIC profiles were very complex we selected a subset of 27 peaks for comparison and detailed analysis by ESI-MS/MS (S2 Fig). A broad range of O-glycan compositions were detected in the samples and although there was some overlap in LC traces, the sample profiles showed prominent differences. The observed molecular masses and compositions of 27 selected structures (Fig 5) are summarised in Table 1.
Table 1. Mass spectrometric data for selected 27 O-glycans obtained from human saliva.
UHPLC Peak Id | Average GU (PROC) | HILIC-UHPLC-ESI-MS | ||||||
---|---|---|---|---|---|---|---|---|
Composition | Calculated [m/z]+ | Registered [m/z]+ | Probable structures | |||||
Hex (H) | HexNAc (N) | Fucose (F) | Neu5Ac (S) | |||||
1 | 1.40 | 0 | 1 | 1 | 0 | 587.38 | 587.32 | - |
2 | 1.51 | 1 | 0 | 1 | 0 | 546.38 | 546.30 | F-H-PROC |
3 | 1.63 | 0 | 2 | 1 | 0 | 791.45 | 790.41 | F-N-N-PROC |
4 | 1.66 | 1 | 1 | 0 | 0 | 603.39 | 603.32 | H-N-PROC |
5 | 1.81 | 1 | 1 | 1 | 0 | 749.45 | 749.38 | F-H-N-PROC |
6 | 2.21 | 1 | 1 | 1 | 0 | 749.45 | 749.38 | F-H-N-PROC |
7 | 2.30 | 1 | 1 | 0 | 1 | 894.48 | 894.42 | S-H-N-PROC |
8 | 2.45 | 1 | 2 | 0 | 0 | 806.46 | 806.40 | N-(H)-N-PROC |
9 | 2.48 | 1 | 2 | 0 | 0 | 806.46 | 806.40 | N-(H)-N-PROC |
10 | 2.57 | 1 | 1 | 2 | 0 | 895.5 | 895.44 | S-(S-H)-N-ROC |
11 | 2.61 | 1 | 2 | 1 | 0 | 952.51 | 952.46 | N-(S-H)-N-ROC |
12 | 2.64 | 1 | 3 | 0 | 0 | 1010.53 | 1009.48 | H-N-(N)-N-ROC |
13 | 2.82 | 1 | 2 | 1 | 0 | 952.51 | 952.46 | N-(F)-H-N-ROC |
14 | 2.87 | 2 | 2 | 0 | 0 | 969.5 | 968.46 | - |
15 | 2.98 | 1 | 1 | 0 | 1 | 894.48 | 894.42 | S-(H)-N-PROC |
16 | 3.05 | 1 | 3 | 1 | 0 | 1156.59 | 1155.54 | S-H-N-(N)-N-PROC |
17 | 3.28 | 2 | 2 | 0 | 0 | 968.52 | 968.46 | H-(H-N)-N-PROC |
18 | 3.41 | 1 | 2 | 2 | 0 | 1098.59 | 1098.52 | N-(F)-H-(F)-N-PROC |
19 | 3.69 | 3 | 1 | 0 | 0 | 927.1 | 927.43 | - |
20 | 3.73 | 2 | 2 | 1 | 0 | 1114.59 | 1114.51 | H-N-(F-H)-N-PROC |
21 | 3.78 | 2 | 2 | 1 | 0 | 1114.59 | 1114.51 | H-N-(F-H)-N-PROC |
22 | 3.85 | 2 | 2 | 0 | 1 | 1259.64 | 1259.55 | S-H-N-H-N PROC |
23 | 3.89 | 2 | 2 | 1 | 0 | 1114.59 | 1114.51 | H-N-(F-H)-N-PROC |
24 | 3.97 | 2 | 2 | 1 | 0 | 1114.58 | 1114.51 | N-H-N-(F)-H-PROC |
25 | 4.18 | 3 | 2 | 0 | 0 | 1130.58 | 1130.51 | - |
26 | 4.31 | 2 | 2 | 2 | 0 | 1260.65 | 1260.57 | F-H-N-(F-H)-N-PROC |
27 | 4.40 | 2 | 2 | 1 | 1 | [703.00]2+ | [703.31]2+ | F-H-N-(S-H)-N-PROC |
The O-glycans displayed a heterogenous mixture of neutral and acidic oligosaccharides and most of the structures were fucosylated. The MS/MS fragmentation data of procainamide labelled O-glycans contained diagnostic fragment ions characteristic of core type or blood group epitope consistent with previously reported data [29, 21, 48, 49]. The O-glycans carried the blood group H-epitopes Fucα1-2Galβ1 (diagnostic structure: Fuc-Hex) which is usually modified by a single monosaccharide residue (Galα1-3- or GalNAcα1-3-) and determines ABO blood groups [31, 50, 51]. The O-glycans found in this study were released from whole saliva from an individual of blood group A. The terminal structures of glycans 13 and 18 (Fig 5, Table 1) have a HexNAc attached to (Fuc)-Hex-HexNAc-Proc (blood group H-epitope), suggesting expression of blood group A antigen GalNAcα1-3(Fucα1–2)Galβ1- on saliva glycoproteins. The presence of ABO blood group specific epitopes matching the blood group status suggest that the saliva donor is secretor.
Derived glycosylation features such as galactosylation and fucosylation were calculated for the selected O-glycan peaks to analyse the range of variability. Firstly, we compared levels of galactosylation (Fig 6B). A pronounced decrease in galactosylation (from 91% on the first day to 78% on the fifth day) was observed for the samples collected in the morning. For the samples collected in the afternoon or evening, variation was also high (between 83% and 94% for afternoon collection and 76% and 93% for evening collection).
Next we looked at changes in fucosylation for the samples collected three times a day during a 5 days period (Fig 6C). High biological variation was observed both intra-day and inter-day with fucosylation levels ranging from 43% to 57%.
We also looked at changes in sialylation. Significant variation (between 5% and 13%) between samples collected at different points of the day during the 5 days period was observed (Fig 6E).
The peak alignment across all HILIC chromatograms from two individuals shows that the individuals differ in relative peak abundance, while displaying similar variation within each peak (S3C Fig).
The main aim of this study was to analyse and compare entire O-glycan populations released form whole human saliva samples collected 3 times a day over a 5 days period. Our results highlighted that there is extensive natural variation in the salivary O-glycosylation. Both the intra-day and the inter-day variation appeared to be high.
We used whole human saliva because the wide spectrum of compounds (including glycoproteins) present in saliva may provide information for potentially important biomarkers and it has been reported that 30% of blood proteins are also present in saliva [52]. Also changes in O-glycans have been associated with different disease states [53, 54]. It has been previously published that the variation in salivary MUC5B glycosylation is high and dependent on blood group or secretor status [31]. Likewise, one may expect that salivary O-glycosylation, along with dynamic changes in composition of other salivary analytes may depend on diet, lifestyle and inflammatory responses in the mucus layer, although additional studies will be necessary to study this. One of the biggest advantages of saliva is easy collection, storage and transportation. Donation is non-invasive, stress-free and it does not require highly-trained personnel [55].
Conclusions
Our study showed that the composition and relative abundance of the O-glycans in human saliva changes considerably during the day. This is an interesting observation and should be taken into account when evaluating salivary O-glycosylation e.g. for its diagnostic biomarker potential.
The changes in the specific O-glycan types within one day as well as between days may be caused by changes in the salivary concentrations of specific proteins, but may likewise be attributed to changes in protein-specific glycosylation profiles. It may, therefore, make sense to follow-up the current study and assess the glycosylation of one of the mucins abundantly present in saliva with respect to its longitudinal robustness and biomarker potential. Mucins found in saliva have high turnover rates and respond quickly to altered conditions within the body [32, 56]. Mucins and their O-glycans affect a range of aspects of oral health and their changes in the response to the infection and inflammation [32].
Supporting Information
Acknowledgments
This work was supported by the European Union's Seventh Framework Program (FP7-Health-F5-2011) under grant agreement n°278535 (HighGlycan).
Ludger Ltd is a commercial bioscience company specialising in development and validation of glycoprofiling technology. The following authors declare competing financial interest(s): RPK, PAU, LR, DIS, DLF are employed by Ludger Ltd. In addition, products from Ludger were used in this research. This does not alter our adherence to PLOS ONE policies on sharing data and materials.
Data Availability
All relevant data are within the paper and its Supporting Information files.
Funding Statement
This work was supported by the European Union's Seventh Framework Program (FP7-Health-F5-2011) under grant agreement n°278535 (HighGlycan). Ludger Ltd is a commercial bioscience company specialising in development and validation of glycoprofiling technology. The following authors declare competing financial interest(s): RPK, PAU, LR, DIS, DLF are employed by Ludger Ltd. In addition, products from Ludger were used in this research. This does not alter our adherence to PLOS ONE policies on sharing data and materials.
References
- 1.Punyadeera C, Dimeski G, Kostner K, Beyerlein P, Cooper-White J. One-step homogeneous C-reactive protein assay for saliva. J Immunol Methods. 2011. October 28;373(1–2):19–25. S0022-1759(11)00184-0 [pii]; 10.1016/j.jim.2011.07.013 [DOI] [PubMed] [Google Scholar]
- 2.Schulz BL, Cooper-White J, Punyadeera CK. Saliva proteome research: current status and future outlook. Crit Rev Biotechnol. 2013. September;33(3):246–59. 10.3109/07388551.2012.687361 [DOI] [PubMed] [Google Scholar]
- 3.Mohamed R, Campbell JL, Cooper-White J, Dimeski G, Punyadeera C. The impact of saliva collection and processing methods on CRP, IgE, and Myoglobin immunoassays. Clin Transl Med. 2012;1(1):19 2001-1326-1-19 [pii]; 10.1186/2001-1326-1-19. PMC3560976. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Hofman LF. Human saliva as a diagnostic specimen. J Nutr. 2001. May;131(5):1621S–5S. [DOI] [PubMed] [Google Scholar]
- 5.Kaufman E, Lamster IB. The diagnostic applications of saliva—a review. Crit Rev Oral Biol Med. 2002;13(2):197–212. [DOI] [PubMed] [Google Scholar]
- 6.Pfaffe T, Cooper-White J, Beyerlein P, Kostner K, Punyadeera C. Diagnostic potential of saliva: current state and future applications. Clin Chem. 2011. May;57(5):675–87. clinchem.2010.153767 [pii]; 10.1373/clinchem.2010.153767 [DOI] [PubMed] [Google Scholar]
- 7.Sondej M, Denny PA, Xie Y, Ramachandran P, Si Y, Takashima J, et al. Glycoprofiling of the Human Salivary Proteome. Clin Proteomics. 2009. March 1;5(1):52–68. 10.1007/s12014-008-9021-0. PMC2782851. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Amado FML, Vitorino RMP, lobo MJC, Domingues PMDN. Proteomics of Human Saliva. 2007. p. 347–76.
- 9.Frohm NM, Sandstedt B, Sorensen O, Weber G, Borregaard N, Stahle-Backdahl M. The human cationic antimicrobial protein (hCAP18), a peptide antibiotic, is widely expressed in human squamous epithelia and colocalizes with interleukin-6. Infect Immun. 1999. May;67(5):2561–6. PMC116004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Helmerhorst EJ, Oppenheim FG. Saliva: a dynamic proteome. J Dent Res. 2007. August;86(8):680–93. 86/8/680 [pii]. [DOI] [PubMed] [Google Scholar]
- 11.Amerongen AV, Bolscher JG, Veerman EC. Salivary mucins: protective functions in relation to their diversity. Glycobiology. 1995. December;5(8):733–40. [DOI] [PubMed] [Google Scholar]
- 12.Lamont RJ, Jenkinson HJ. Oral Microbiology at a Glance. Wiley-Blackwell; 2010. [Google Scholar]
- 13.Amerongen AV, Veerman EC. Saliva—the defender of the oral cavity. Oral Dis. 2002. January;8(1):12–22. [DOI] [PubMed] [Google Scholar]
- 14.Schenkels LC, Veerman EC, Nieuw Amerongen AV. Biochemical composition of human saliva in relation to other mucosal fluids. Crit Rev Oral Biol Med. 1995;6(2):161–75. [DOI] [PubMed] [Google Scholar]
- 15.Ten Cate AR. Oral Histology: Development, Structure And Function. 1998. [Google Scholar]
- 16.Edgar WM. Saliva: its secretion, composition and functions. Br Dent J. 1992. April 25;172(8):305–12. [DOI] [PubMed] [Google Scholar]
- 17.Borzym-Kluczyk M, Radziejewska I, Cechowska-Pasko M. Glycosylation of proteins in healthy and neoplastic human salivary glands—a preliminary study. Clin Chem Lab Med. 2011. May;49(5):885–9. 10.1515/CCLM.2011.137 [DOI] [PubMed] [Google Scholar]
- 18.Dowling P, Wormald R, Meleady P, Henry M, Curran A, Clynes M. Analysis of the saliva proteome from patients with head and neck squamous cell carcinoma reveals differences in abundance levels of proteins associated with tumour progression and metastasis. J Proteomics. 2008. July 21;71(2):168–75. S1874-3919(08)00066-3 [pii]; 10.1016/j.jprot.2008.04.004 [DOI] [PubMed] [Google Scholar]
- 19.Foo JY, Wan Y, Kostner K, Arivalagan A, Atherton J, Cooper-White J, et al. NT-ProBNP levels in saliva and its clinical relevance to heart failure. PLoS One. 2012;7(10):e48452 10.1371/journal.pone.0048452; PONE-D-12-24906 [pii]. PMC3485201. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Hu S, Arellano M, Boontheung P, Wang J, Zhou H, Jiang J, et al. Salivary proteomics for oral cancer biomarker discovery. Clin Cancer Res. 2008. October 1;14(19):6246–52. 14/19/6246 [pii]; 10.1158/1078-0432.CCR-07-5037. PMC2877125. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Ovchinnikov DA, Wan Y, Coman WB, Pandit P, Cooper-White JJ, Herman JG, et al. DNA Methylation at the Novel CpG Sites in the Promoter of MED15/PCQAP Gene as a Biomarker for Head and Neck Cancers. Biomark Insights. 2014;9:53–60. 10.4137/BMI.S16199; bmi-9-2014-053 [pii]. PMC4085102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Zhang L, Xiao H, Karlan S, Zhou H, Gross J, Elashoff D, et al. Discovery and preclinical validation of salivary transcriptomic and proteomic biomarkers for the non-invasive detection of breast cancer. PLoS One. 2010;5(12):e15573 10.1371/journal.pone.0015573. PMC3013113. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Bocklandt S, Lin W, Sehl ME, Sanchez FJ, Sinsheimer JS, Horvath S, et al. Epigenetic predictor of age. PLoS One. 2011;6(6):e14821 10.1371/journal.pone.0014821; 11-PONE-RA-21777 [pii]. PMC3120753. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Srivastava A, Wang J, Zhou H, Melvin JE, Wong DT. Age and gender related differences in human parotid gland gene expression. Arch Oral Biol. 2008. November;53(11):1058–70. S0003-9969(08)00147-7 [pii]; 10.1016/j.archoralbio.2008.05.006. PMC2633719. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Ambatipudi KS, Lu B, Hagen FK, Melvin JE, Yates JR. Quantitative analysis of age specific variation in the abundance of human female parotid salivary proteins. J Proteome Res. 2009. November;8(11):5093–102. 10.1021/pr900478h. PMC2834885. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Cabras T, Pisano E, Boi R, Olianas A, Manconi B, Inzitari R, et al. Age-dependent modifications of the human salivary secretory protein complex. J Proteome Res. 2009. August;8(8):4126–34. 10.1021/pr900212u [DOI] [PubMed] [Google Scholar]
- 27.Fleissig Y, Reichenberg E, Redlich M, Zaks B, Deutsch O, Aframian DJ, et al. Comparative proteomic analysis of human oral fluids according to gender and age. Oral Dis. 2010. November;16(8):831–8. ODI1696 [pii]; 10.1111/j.1601-0825.2010.01696.x [DOI] [PubMed] [Google Scholar]
- 28.Gornik O, Pavic T, Lauc G. Alternative glycosylation modulates function of IgG and other proteins—implications on evolution and disease. Biochim Biophys Acta. 2012. September;1820(9):1318–26. S0304-4165(11)00296-0 [pii]; 10.1016/j.bbagen.2011.12.004 [DOI] [PubMed] [Google Scholar]
- 29.Everest-Dass AV, Jin D, Thaysen-Andersen M, Nevalainen H, Kolarich D, Packer NH. Comparative structural analysis of the glycosylation of salivary and buccal cell proteins: innate protection against infection by Candida albicans. Glycobiology. 2012. November;22(11):1465–79. cws112 [pii]; 10.1093/glycob/cws112 [DOI] [PubMed] [Google Scholar]
- 30.Everest-Dass AV, Abrahams JL, Kolarich D, Packer NH, Campbell MP. Structural feature ions for distinguishing N- and O-linked glycan isomers by LC-ESI-IT MS/MS. J Am Soc Mass Spectrom. 2013. June;24(6):895–906. 10.1007/s13361-013-0610-4 [DOI] [PubMed] [Google Scholar]
- 31.Thomsson KA, Schulz BL, Packer NH, Karlsson NG. MUC5B glycosylation in human saliva reflects blood group and secretor status. Glycobiology. 2005. August;15(8):791–804. cwi059 [pii]; 10.1093/glycob/cwi059 [DOI] [PubMed] [Google Scholar]
- 32.Zad M, Flowers SA, Bankvall M, Jontell M, Karlsson NG. Salivary mucin MUC7 oligosaccharides in patients with recurrent aphthous stomatitis. Clin Oral Investig. 2015. November;19(8):2147–52. 10.1007/s00784-015-1495-3; 10.1007/s00784-015-1495-3 [pii]. [DOI] [PubMed] [Google Scholar]
- 33.Hu S, Jiang J, Wong DT. Proteomic analysis of saliva: 2D gel electrophoresis, LC-MS/MS, and Western blotting. Methods Mol Biol. 2010;666:31–41. 10.1007/978-1-60761-820-1_3. PMC3209956. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Epstein JB, Gorsky M, Guglietta A, Le N, Sonis ST. The correlation between epidermal growth factor levels in saliva and the severity of oral mucositis during oropharyngeal radiation therapy. Cancer. 2000. December 1;89(11):2258–65. [pii]. [DOI] [PubMed] [Google Scholar]
- 35.Zauber H, Mosler S, von HA, Schulze WX. Dynamics of salivary proteins and metabolites during extreme endurance sports—a case study. Proteomics. 2012. July;12(13):2221–35. 10.1002/pmic.201100228 [DOI] [PubMed] [Google Scholar]
- 36.Zhang A, Sun H, Wang X. Saliva metabolomics opens door to biomarker discovery, disease diagnosis, and treatment. Appl Biochem Biotechnol. 2012. November;168(6):1718–27. 10.1007/s12010-012-9891-5 [DOI] [PubMed] [Google Scholar]
- 37.Clerc F, Reiding KR, Jansen BC, Kammeijer GS, Bondt A, Wuhrer M. Human plasma protein N-glycosylation. Glycoconj J. 2015. November 10; 10.1007/s10719-015-9626-2; 10.1007/s10719-015-9626-2 [pii]. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Adamczyk B, Tharmalingam T, Rudd PM. Glycans as cancer biomarkers. Biochim Biophys Acta. 2012. September;1820(9):1347–53. S0304-4165(11)00293-5 [pii]; 10.1016/j.bbagen.2011.12.001 [DOI] [PubMed] [Google Scholar]
- 39.Jaeken J, Matthijs G. Congenital disorders of glycosylation: a rapidly expanding disease family. Annu Rev Genomics Hum Genet. 2007;8:261–78. 10.1146/annurev.genom.8.080706.092327 [DOI] [PubMed] [Google Scholar]
- 40.Kozak RP, Royle L, Gardner RA, Fernandes DL, Wuhrer M. Suppression of peeling during the release of O-glycans by hydrazinolysis. Anal Biochem. 2012. April 1;423(1):119–28. S0003-2697(12)00012-7 [pii]; 10.1016/j.ab.2012.01.002 [DOI] [PubMed] [Google Scholar]
- 41.Merry AH, Neville DC, Royle L, Matthews B, Harvey DJ, Dwek RA, et al. Recovery of intact 2-aminobenzamide-labeled O-glycans released from glycoproteins by hydrazinolysis. Anal Biochem. 2002. May 1;304(1):91–9. 10.1006/abio.2002.5620; S0003269702956204 [pii]. [DOI] [PubMed] [Google Scholar]
- 42.Patel T, Bruce J, Merry A, Bigge C, Wormald M, Jaques A, et al. Use of hydrazine to release in intact and unreduced form both N- and O-linked oligosaccharides from glycoproteins. Biochemistry. 1993. January 19;32(2):679–93. [DOI] [PubMed] [Google Scholar]
- 43.Kozak RP, Tortosa CB, Fernandes DL, Spencer DI. Comparison of procainamide and 2-aminobenzamide labeling for profiling and identification of glycans by liquid chromatography with fluorescence detection coupled to electrospray ionization-mass spectrometry. Anal Biochem. 2015. October 1;486:38–40. S0003-2697(15)00298-5 [pii]; 10.1016/j.ab.2015.06.006 [DOI] [PubMed] [Google Scholar]
- 44.Royle L, Radcliffe CM, Dwek RA, Rudd PM. Detailed structural analysis of N-glycans released from glycoproteins in SDS-PAGE gel bands using HPLC combined with exoglycosidase array digestions. Methods Mol Biol. 2006;347:125–43. 1-59745-167-3:125 [pii]; 10.1385/1-59745-167-3:125 [DOI] [PubMed] [Google Scholar]
- 45.Zauner G, Kozak RP, Gardner RA, Fernandes DL, Deelder AM, Wuhrer M. Protein O-glycosylation analysis. Biol Chem. 2012. August;393(8):687–708. 10.1515/hsz-2012-0144; /j/bchm.2012.393.issue-8/hsz-2012-0144/hsz-2012-0144.xml [pii]. [DOI] [PubMed] [Google Scholar]
- 46.Kozak RP, Royle L, Gardner RA, Bondt A, Fernandes DL, Wuhrer M. Improved nonreductive O-glycan release by hydrazinolysis with ethylenediaminetetraacetic acid addition. Anal Biochem. 2014. May 15;453:29–37. S0003-2697(14)00087-6 [pii]; 10.1016/j.ab.2014.02.030 [DOI] [PubMed] [Google Scholar]
- 47.Spiro RG, Bhoyroo VD. Structure of the O-glycosidically linked carbohydrate units of fetuin. J Biol Chem. 1974. September 25;249(18):5704–17. [PubMed] [Google Scholar]
- 48.Chaudhury NM, Proctor GB, Karlsson NG, Carpenter GH, Flowers SA. Reduced MUC7 mucin sialylation and altered saliva rheology in Sjogren's syndrome associated oral dryness. Mol Cell Proteomics. 2015. December 2; M115.052993 [pii]; 10.1074/mcp.M115.052993 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Karlsson NG, Thomsson KA. Salivary MUC7 is a major carrier of blood group I type O-linked oligosaccharides serving as the scaffold for sialyl Lewis x. Glycobiology. 2009. March;19(3):288–300. cwn136 [pii]; 10.1093/glycob/cwn136 [DOI] [PubMed] [Google Scholar]
- 50.Karlsson NG, Schulz BL, Packer NH. Structural determination of neutral O-linked oligosaccharide alditols by negative ion LC-electrospray-MSn. J Am Soc Mass Spectrom. 2004. May;15(5):659–72. 10.1016/j.jasms.2004.01.002; S1044030504000273 [pii]. [DOI] [PubMed] [Google Scholar]
- 51.Schulz BL, Packer NH, Karlsson NG. Small-scale analysis of O-linked oligosaccharides from glycoproteins and mucins separated by gel electrophoresis. Anal Chem. 2002. December 1;74(23):6088–97. [DOI] [PubMed] [Google Scholar]
- 52.Schulz BL, Cooper-White J, Punyadeera CK. Saliva proteome research: current status and future outlook. Crit Rev Biotechnol. 2013. September;33(3):246–59. 10.3109/07388551.2012.687361 [DOI] [PubMed] [Google Scholar]
- 53.Kawashima H. Roles of the gel-forming MUC2 mucin and its O-glycosylation in the protection against colitis and colorectal cancer. Biol Pharm Bull. 2012;35(10):1637–41. DN/JST.JSTAGE/bpb/b12-00412 [pii]. [DOI] [PubMed] [Google Scholar]
- 54.Schulz BL, Sloane AJ, Robinson LJ, Prasad SS, Lindner RA, Robinson M, et al. Glycosylation of sputum mucins is altered in cystic fibrosis patients. Glycobiology. 2007. July;17(7):698–712. cwm036 [pii]; 10.1093/glycob/cwm036 [DOI] [PubMed] [Google Scholar]
- 55.Pfaffe T, Cooper-White J, Beyerlein P, Kostner K, Punyadeera C. Diagnostic potential of saliva: current state and future applications. Clin Chem. 2011. May;57(5):675–87. clinchem.2010.153767 [pii]; 10.1373/clinchem.2010.153767 [DOI] [PubMed] [Google Scholar]
- 56.Kawashima H. Roles of the gel-forming MUC2 mucin and its O-glycosylation in the protection against colitis and colorectal cancer. Biol Pharm Bull. 2012;35(10):1637–41. DN/JST.JSTAGE/bpb/b12-00412 [pii]. [DOI] [PubMed] [Google Scholar]
- 57.Harvey DJ, Merry AH, Royle L, Campbell MP, Dwek RA, Rudd PM. Proposal for a standard system for drawing structural diagrams of N- and O-linked carbohydrates and related compounds. Proteomics. 2009. August;9(15):3796–801. 10.1002/pmic.200900096 [DOI] [PubMed] [Google Scholar]
- 58.Domon B, Costello CE. (1988) A systematic nomenclature for carbohydrate fragmentations in FAB-MS/MS spectra of glycoconjugates. Glycoconj. J. 5, 397–409. [Google Scholar]
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