Comparative analysis of Salivette® and paraffin gum preparations for establishment of a metaproteomics analysis pipeline for stimulated human saliva

Rabe, Alexander; Salazar, Manuela Gesell; Fuchs, Stephan; Kocher, Thomas; Völker, Uwe

doi:10.1080/20002297.2018.1428006

Cited by 10 publications

(6 citation statements)

References 24 publications

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“…Saliva collection is less invasive than plasma collection, and saliva can be produced adlibitum unlike urine [1]. To allow the full diagnostic potential of saliva to be reached, much research pertaining to salivary biomarker discovery currently emphasises optimisation either of sample handling or analytic techniques [2][3][4][5][6] and assessing physiological modifiers in health such as diurnal variation, diet and age [7,8].…”

Section: Introductionmentioning

confidence: 99%

Determining bacterial and host contributions to the human salivary metabolome

Gardner

Parkes

et al. 2019

Journal of Oral Microbiology

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Background: Salivary metabolomics is rapidly advancing. Aim and methods: To determine the extent to which salivary metabolites reflects host or microbial metabolic activity whole-mouth saliva (WMS), parotid saliva (PS) and plasma collected contemporaneously from healthy volunteers were analysed by 1 H-NMR spectroscopy. Spectra underwent principal component analysis and k-means cluster analysis and metabolite quantification. WMS samples were cultured on both sucrose and peptide-enriched media. Correlation between metabolite concentration and bacterial load was assessed. Results: WMS contained abundant short-chain fatty acids (SCFAs), which were minimal in PS and plasma. WMS spectral exhibited greater inter-individual variation than those of PS or plasma (6.7 and 3.6 fold, respectively), likely reflecting diversity of microbial metabolomes. WMS bacterial load correlated strongly with SCFA levels. Additional WMS metabolites including amines, amino acids and organic acids were positively correlated with bacterial load. Lactate, urea and citrate appeared to enter WMS via PS and the circulation. Urea correlated inversely with WMS bacterial load. Conclusions: Oral microbiota contribute significantly to the WMS metabolome. Several WMS metabolites (lactate, urea and citrate) are derived from the host circulation. WMS may be particularly useful to aid diagnosis of conditions reflective of dysbiosis. WMS could also complement other gastrointestinal fluids in future metabolomic studies. ARTICLE HISTORY

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Section: Introductionmentioning

confidence: 99%

Determining bacterial and host contributions to the human salivary metabolome

Gardner

Parkes

et al. 2019

Journal of Oral Microbiology

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“…This may be due to the way the patients were enrolled, as well as the type of salivary collection techniques used in the present study. In particular, previous work has demonstrated that dental cotton rolls or unstimulated saliva can affect some assays to varying degrees depending on the type of cotton or method used [ 44 , 45 , 46 ].…”

Section: Discussionmentioning

confidence: 99%

Impact of Matrix Metalloproteinase-9 during Periodontitis and Cardiovascular Diseases

et al. 2021

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Matrix metalloproteinase-9 (MMP-9) has been shown to play a key role in endothelial function and perhaps pivotal in the correlation between periodontal disease and cardiovascular disease (CVD). For the study, the impact of MMP-9 of periodontitis and CVD on serum and saliva concentrations was analyzed. For the study patients with periodontitis (n = 31), CVD (n = 31), periodontitis + CVD (n = 31), and healthy patients (n = 31) were enrolled. Clinical and demographic characteristics as well as serum and salivary MMP-9 were evaluated. MMP-9 concentrations in serum and saliva were statistically elevated in patients with CVD (p < 0.01) and in patients with periodontitis plus CVD (p < 0.001) compared to patients with periodontitis and healthy subjects. Multivariate regression analysis showed that c-reactive protein (hs-CRP) was the only significant predictor for MMP-9 serum (p < 0.001), whereas hs-CRP (p < 0.001) and total cholesterol (p = 0.029) were the statistically significant salivary MMP-9 predictors. This study evidenced that patients with CVD and periodontitis + CVD presented elevated MMP-9 concentrations in serum and saliva compared to patients with periodontitis and healthy subjects. Furthermore, hs-CRP was a negative predictor of serum and salivary MMP-9.

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“…96 While human proteins in saliva have been investigated extensively in health (oral and systemic) [97][98][99][100][101][102][103][104][105][106][107][108][109][110][111][112][113][114] and different oral diseases, for example, periodontal disease [115][116][117][118][119][120][121][122][123][124] and caries, 125 studies on the salivary metaproteome (both in pellet and supernatant) of oral microbiota have so far been underrepresented, with only a few studies in periodontitis and health being reported. 97,98,102,116,124,[126][127][128][129] Table 4 summarizes the proteomic approaches investigating saliva in different oral diseases and health.…”

Section: Metaproteomic Profiling Of Salivamentioning

confidence: 99%

“…The remaining account for proteins from minor glands, gingival crevicular fluid, mucosal exudates, and the oral microflora 96 . While human proteins in saliva have been investigated extensively in health (oral and systemic) 97‐114 and different oral diseases, for example, periodontal disease 115‐124 and caries, 125 studies on the salivary metaproteome (both in pellet and supernatant) of oral microbiota have so far been underrepresented, with only a few studies in periodontitis and health being reported 97,98,102,116,124,126‐129 . Table 4 summarizes the proteomic approaches investigating saliva in different oral diseases and health.…”

Section: Insights From Clinical Studiesmentioning

confidence: 99%

“…Another proteomic approach conducted recently by Rabe et al 127 investigated the proteome of saliva (pellet or pellet supernatant [by sonication]) of healthy individuals, stimulated either by Salivette or paraffin gum. The liquid chromatography/tandem mass spectrometry approach identified 1005 and 313 bacterial proteins (≥2 peptides) in the sonicated pellet for the paraffin gum and Salivette group, respectively.…”

Section: Insights From Clinical Studiesmentioning

confidence: 99%

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Metaproteome and metabolome of oral microbial communities

Bostancı

Grant

Bao

et al. 2020

Periodontology 2000

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Protein function is representative of active biologic processes, and the proteome describes the entire protein makeup of a cell, tissue, or bodily fluid at a given point in time. The composition and modular organization of the proteome governs the phenotype. The term proteomics was coined in 1994 1 and over the last 25 years the field has advanced with the rapid changes in mass spectrometry instrumentation and innovations in quantitative chemistries and bioinformatic tools. Although two-dimensional gel electrophoresis, accompanied by mass spectrometry detection, was extensively used as the proteomics method of choice in earlier days, 2,3 it is time-consuming, labor-intensive, and limited by the number of resolved proteins. 4 Currently, liquid chromatography coupled to tandem mass spectrometry is the most valuable tool for the systematic identification and quantification of proteins on a large scale. 5 Most of the proteomics workflows seek to identify a set of proteins (discovery proteomics) or to quantify a relative or absolute amount of identified proteins (quantitative proteomics) between conditions or to study the protein interactions within larger protein complexes (interactomes) or in the context of broader biologic networks (systems biology). 6 The spectrum fragmentation method includes two approaches, namely, "untargeted shotgun proteomics", which help achieve a deep coverage of the proteome, and "targeted proteomics" for quantitatively comparing large numbers of samples (hundreds to thousands) based on a defined set of proteins (eg, selected reaction monitoring) (Figure 1). Most high-throughput proteomic strategies utilize "bottom-up" workflows that rely on mass spectrometry analysis of digested peptides from proteins with the help of specific enzymes (eg, trypsin), but a "top-down" approach for analysis of intact proteins is also possible. This allows not only identification of a protein by name, but also of its intact molecular form, the presence of isoforms, and potential modifications. 7 The large-scale characterization of any given proteome is accomplished by comparing measured protein or peptide data with predicted protein or peptide data derived from genomic information.

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Comparative analysis of Salivette® and paraffin gum preparations for establishment of a metaproteomics analysis pipeline for stimulated human saliva

Cited by 10 publications

References 24 publications

Determining bacterial and host contributions to the human salivary metabolome

Determining bacterial and host contributions to the human salivary metabolome

Impact of Matrix Metalloproteinase-9 during Periodontitis and Cardiovascular Diseases

Metaproteome and metabolome of oral microbial communities

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