A Review of the Salivary Proteome and Peptidome and Saliva-derived Peptide Therapeutics

Saliva is a glandular secretion that is vital in the maintenance of healthy oral tissues. In this review we outline the high abundance salivary proteins, summarise the status of the salivary proteome and peptidome, the genetic origin and recognised functions of these proteins, the diseases associated with salivary disorders, and the emerging saliva-derived peptide therapeutics. Different proteomic approaches have reported the identification of over 1,300 proteins in saliva. However there are fewer than 100 high abundance proteins, identified by multiple methods including, two-dimensional polyacrylamide gel electrophoresis and HPLC combined with mass spectrometry. Analysis of the genes coding for the salivary proteins demonstrated a non-uniform chromosomal distribution with chromosome 4 having the largest proportion of genes expressed in salivary glands. Several diseases are associated with salivary disorders including Sjögren’s syndrome, Prader-Willi syndrome, dental caries and stress related disorders. Saliva as a diagnostic medium for various biochemical tests has provided a non-invasive and accessibility advantage over other more regularly tested body fluids such as blood and urine. To-date the emerging saliva-based therapeutics include artificial salivas and antimicrobial agents based on histatins and mucins.     

An optimized procedure for the capture,fractionation and proteomic analysis of proteins using hydrogel nanoparticles

We have developed an optimized procedure using dual size exclusion/affinity hydrogel nanoparticles to capture and comparatively analyze low molecular mass proteins directly from biological samples. The method described facilitates charge‐ and size‐dependent protein binding, direct analysis by MS or other means and is highly reproducible. A comparative analysis of the low molecular mass proteome of plasma following freeze–thaw immediately after venipuncture is used to illustrate proof‐of‐concept. The technique described is rapid and may be easily reproduced in any laboratory.     

The application of atmospheric pressure matrix-assisted laser desorption/ionization to the analysis of long-term cryopreserved serum peptidome

Although most time-of-flight (TOF) mass spectrometers come equipped with vacuum matrix-assisted laser desorption/ionization (MALDI) sources, the atmospheric pressure MALDI (API–MALDI) source is an attractive option because of its ability to be coupled to a wide range of analyzers. This article describes the use of an API–MALDI source coupled to a TOF mass spectrometer for evaluation of the effects of medium- and long-term storage on peptidomic profiles of cryopreserved serum samples from healthy women. Peptides were purified using superparamagnetic beads either from fresh sera or after serum storage at −80 °C for 18 months or at −20 °C for 8 years. Data were preprocessed using newly developed bioinformatic tools and then were subjected to statistical analysis and class prediction. The analyses showed a dramatic effect of storage on the abundance of several peptides such as fibrinopeptides A and B, complement fractions, bradykinin, and clusterin, indicated by other authors as disease biomarkers. Most of these results were confirmed by shadow clustering analysis, able to classify each sample in the correct group. In addition to demonstrating the suitability of the API–MALDI technique for peptidome profiling studies, our data are of relevance for retrospective studies that involve frozen sera stored for many years in biobanks.     

Deciphering the ovarian cancer ascites fluid peptidome

Background

Conventional proteomic approaches have thus far been unable to identify novel serum biomarkers for ovarian cancer that are more sensitive and specific than the current clinically used marker, CA-125. Because endogenous peptides are smaller and may enter the circulation more easily than proteins, a focus on the low-molecular-weight region may reveal novel biomarkers with enhanced sensitivity and specificity. In this study, we deciphered the peptidome of ascites fluid from 3 ovarian cancer patients and 3 benign individuals (ascites fluid from patients with liver cirrhosis).

Results

Following ultrafiltration of the ascites fluids to remove larger proteins, each filtrate was subjected to solid phase extraction and fractionated using strong cation exchange chromatography. The resultant fractions were analyzed using an Orbitrap mass spectrometer. We identified over 2000 unique endogenous peptides derived from 259 proteins. We then catalogued over 777 peptides that were found only in ovarian cancer ascites. Our list of peptides found in ovarian cancer specimens includes fragments derived from the proteins vitronectin, transketolase and haptoglobin.

Conclusions

Peptidomics may uncover previously undiscovered disease-specific endogenous peptides that warrant further investigation as biomarkers for ovarian cancer.     

Reproducibility in urine peptidome profiling using MALDI‐TOF

MALDI‐TOF profiling of low molecular weight peptides (peptidome) usage is limited due to the lack of reproducibility from the confounding inferences of sample preparation, data acquisition, and processing. We applied MALDI‐TOF analysis to profile urine peptidome with the aims to: (i) compare centrifugal ultrafiltration and dialysis pretreatments, (ii) determine whether using signal LOD (sLOD), together with data normalization, may reduce MALDI‐TOF variability. We also investigated the influence of peaks detection on reproducibility. Dialysis allowed to obtain better MALDI‐TOF spectra than ultrafiltration. Within the 1000–4000 m/z range, we identified 120 and 129 peaks in intra‐ and interassay studies, respectively. To estimate the sLOD, serial dilution of pooled urines up to 1/256 were analyzed in triplicate. Six data normalization strategies were investigated–the mean, median, internal standard, relative intensity, TIC, and linear rescaling normalization. Normalization methods alone performed poorly in reducing features variability while when combined to sLOD adjustment showed an overall reduction in features CVs. Applying a feedback signal processing approach, after median normalization and sLOD adjustment, CVs were reduced from 103 to 26% and 113 to 25% for the intra‐ and interassay, respectively, and spectra became more comparable in terms of data dispersion.     

Human infant saliva peptidome is modified with age and diet transition

In order to describe developmental changes in human salivary peptidome, whole saliva was obtained from 98 infants followed longitudinally at 3 and 6months of age. Data on teeth eruption and diet at the age of 6months were also recorded. Salivary peptide extracts were characterised by label-free MALDI-MS. Peptides differentially expressed between the two ages, and those significantly affected by teeth eruption or introduction of solid foods were identified by MALDI TOF-TOF and LC ESI MS-MS. Out of 81 peaks retained for statistical analysis, 26 were overexpressed at the age of 6months. Exposure to solid foods had a more pronounced effect on profiles (overexpression of nine peaks) than teeth eruption (overexpression of one peak). Differential peaks corresponded to fragments of acidic and basic PRPs, statherin and histatin. Comparison with existing knowledge on adult saliva peptidome revealed that proteolytic processing of salivary proteins is qualitatively quite comparable in infants and in adults. However, age and diet are modulators of salivary peptidome in human infants.     

Ligand profiling and identification technology for searching bioactive ligands

We introduce a new methodology named ligand profiling and identification for effective discovery of bioactive ligands such as peptide hormones. This technology was developed from a new concept of parallel column chromatography and active fraction profiling by nano-LC MS. Traditional methods use sequential column chromatography, and thus are inevitably limited by the low abundance of the peptide of interest and by a low yield due to the many column steps. Using this new technology, insulin was successfully identified and diarginylinsulin, a minor intermediate form of insulin, was unexpectedly also identified simultaneously from 100 mg of porcine pancreatic tissue. This integrative technology could be used to search for various low-abundance peptides (or bioactive molecules) rapidly and simultaneously, by applying this to the later stages of traditional sequential purification.     

Functional peptidomics of amphibian skin secretion: A novel Kunitz-type chymotrypsin inhibitor from the African hyperoliid frog, Kassina senegalensis

Amphibian skin secretions are, for the most part, complex peptidomes. While many peptide components have been biologically- and structurally-characterised into discrete “families”, some of which are analogues of endogenous vertebrate regulatory peptides, a substantial number are of unique structure and unknown function.     

Determination of endogenous peptides in the porcine brain: possible construction of peptidome,a fact database for endogenous peptides

Peptides play crucial roles in many physiological events. However, a database for endogenous peptides has not yet been developed, because the peptides are easily degraded by proteolytic enzymes during extraction and purification. In this study, we demonstrated that the data for endogenous peptides could be collected by minimizing the proteolytic degradation. We separated porcine brain peptides into 5250 fractions by 2-dimensional chromatography (first ion-exchange and second reversed-phase high-performance liquid chromatography), and 75 fractions of average peptide contents were analyzed in detail by mass spectrometers and a protein sequencer. Based on the analysis data obtained in this study, more than 10000 peptides were deduced to be detected, and more than 1000 peptides to be identified starting from 2 g of brain tissue. Thus, we deduce that it is possible to construct a database for endogenous peptides starting from a gram level of tissue by using 2-dimensional high-performance liquid chromatography coupled with a mass spectrometer.