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Periodontitis is one of the most prevalent oral diseases worldwide caused by multifactorial interactions between host and oral bacteria. Altered cellular metabolism of host and microbes releases a number of intermediary end-products known as metabolites. Recently, there is an increasing interest in identifying metabolites from oral fluids like saliva to widen the understanding of the complex pathogenesis of periodontitis. It is believed, that some metabolites might serve as indicators toward early detection and screening of periodontitis and perhaps even for monitoring its prognosis in the future. Because contemporary periodontal screening methods are deficient, there is an urgent need for novel approaches in periodontal screening procedures. To this end we associated oral parameters (clinical attachment level, periodontal probing depth, supragingival plaque, supragingival calculus, number of missing teeth, and removable denture) with a large set of salivary metabolites (n=383) obtained by mass spectrometry among a subsample (n=909) of non-diabetic participants of the Study of Health in Pomerania (SHIP-Trend-0). Linear regression analyses were performed in age-stratified groups and adjusted for potential confounders. A multifaceted image of associated metabolites (n=107) with considerable differences according to age groups was revealed. In the young (20-39 years) and middle-aged groups (40-59 years), we found metabolites predominantly associated with periodontal variables; whereas among the older subjects (60 + years), tooth loss was strongly associated with metabolite levels. Metabolites associated with periodontal variables were clearly linked to tissue destruction, host- defence mechanisms and bacterial metabolism. Across all age groups, the bacterial metabolite phenylacetate was significantly associated with periodontal variables. Our results revealed alterations of the salivary metabolome in association with age and oral health status. Among our comprehensive panel of metabolites, periodontitis was significantly associated with the bacterial metabolite phenylacetate, a promising substance for further biomarker research.
Human donor milk (HDM) provides appropriate nutrition and offers protective functionsin preterm infants. The aim of the study is to examine the impact of different storage conditions onthe stability of the human breast milk peptidome. HDM was directly frozen at−80◦C or stored at−20◦C (120 h), 4◦C (6 h), or room temperature (RT for 6 or 24 h). The milk peptidome was profiledby mass spectrometry after peptide collection by ultrafiltration. Profiling of the peptidome covered3587 peptides corresponding to 212 proteins. The variance of the peptidome increased with storagetemperature and time and varied for different peptides. The highest impact was observed whensamples were stored at RT. Smaller but significant effects were still observed in samples stored at4◦C, while samples showed highest similarity to those immediately frozen at−80◦C when storedat−20◦C. Peptide structures after storage at RT for 24 h point to the increased activity of thrombinand other proteases cleaving proteins at lysine/arginine. The results point to an ongoing proteindegradation/peptide production by milk-derived proteases. They underline the need for immediatefreezing of HDM at−20◦C or−80◦C to prevent degradation of peptides and enable reproducibleinvestigation of prospectively collected samples.
: Platelets are components of the blood that are highly reactive, and they quickly respond
to multiple physiological and pathophysiological processes. In the last decade, it became clear that
platelets are the key components of circulation, linking hemostasis, innate, and acquired immunity.
Protein composition, localization, and activity are crucial for platelet function and regulation. The
current state of mass spectrometry-based proteomics has tremendous potential to identify and quantify thousands of proteins from a minimal amount of material, unravel multiple post-translational
modifications, and monitor platelet activity during drug treatments. This review focuses on the role
of proteomics in understanding the molecular basics of the classical and newly emerging functions
of platelets. including the recently described role of platelets in immunology and the development
of COVID-19.The state-of-the-art proteomic technologies and their application in studying platelet
biogenesis, signaling, and storage are described, and the potential of newly appeared trapped ion
mobility spectrometry (TIMS) is highlighted. Additionally, implementing proteomic methods in
platelet transfusion medicine, and as a diagnostic and prognostic tool, is discussed.