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To have information on the proteolytic activity of convertases and exo-peptidases on human salivary proteins, this study investigated the relative amounts of the truncated proteoforms in the saliva of preterm newborns and compared them with the relative amounts measured in saliva of at-term newborns, of babies (0–10 years old) and of adults. Results indicated that convertase(s), acting on acidic proline-rich proteins and histatin 3, and carboxypeptidase(s) acting on acidic proline-rich proteins, P–C peptide, histatin 6 and statherin were many folds more active in preterm newborns than in the other groups. Conversely, the aminopeptidase responsible for the removal of the N-terminal Asp residue of statherin was not active in preterm newborns, becoming active only several months after the normal term of delivery. The high activity of convertases determined in preterm newborns suggests that it is required for the molecular events connected to the fetus development, and encourages further studies devoted to the characterization of their specific substrates.

Blood proteome analysis for biomarker discovery represents one of the most challenging tasks to be achieved through clinical proteomics due to the sample complexity, such as the extreme heterogeneity of proteins in very dynamic concentrations, and to the observation of proper sampling and storage conditions. Quantitative and qualitative proteomics profiling of plasma and serum could be useful both for the early detection of diseases and for the evaluation of pathological status. Two main sources of variability can affect the precision and accuracy of the quantitative experiments designed for biomarker discovery and validation. These sources are divided into two categories, pre-analytical and analytical, and are often ignored; however, they can contribute to consistent errors and misunderstanding in biomarker research. In this chapter, we review critical pre-analytical and analytical variables that can influence quantitative proteomics. According to guidelines accepted by proteomics community, we propose some recommendations and strategies for a proper proteomics analysis addressed to biomarker studies.