A Comparative Proteomics Analysis of Five Body Fluids: Plasma, Urine, Cerebrospinal Fluid, Amniotic Fluid, and Saliva

Zhao, Mindi; Yang, Yehong; Guo, Zhengguang; Shao, Chen; Zhang, Yang; Sun, Ying; Liu, Yaoran; Song, Yijun; Zhang, Liwei; Li, Qian; Liu, Juntao; Li, Mingxi; Gao, Youhe; Sun, Wei

doi:10.1002/prca.201800008

Cited by 61 publications

(35 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Oral cavity represents the first barrier where the external pathogens enter the body and interact with immune defense mechanisms, with saliva as an environment for these interactions. Saliva, secreted by minor and major salivary glands (800–1,500 ml per day, declining during the nighttime) ( 30 – 32 ), is a complex biofluid, containing components from the mucosa, the gingiva crevices, tooth surfaces, nasal secrets and plasma ( 33 – 35 ). Soluble molecules dissolved in saliva are nucleic acids, proteins, mucins/glycoproteins, immunoglobulins, metabolites, drugs and their metabolites ( 36 ).…”

Section: The Complex Environment Of Oral Cavitymentioning

confidence: 99%

Oral Neutrophils: Underestimated Players in Oral Cancer

et al. 2020

View full text Add to dashboard Cite

The composition of the oral milieu reflects oral health. Saliva provides an environment for multiple microorganisms, and contains soluble factors and immune cells. Neutrophils, which rapidly react on the changes in the microenvironment, are a major immune cell population in saliva and thus may serve as a biomarker for oral pathologies. This review focuses on salivary neutrophils in the oral cavity, their phenotype changes in physiological and pathological conditions, as well as on factors regulating oral neutrophil amount, activation and functionality, with special emphasis on oral cancer and its risk factors.

show abstract

Section: The Complex Environment Of Oral Cavitymentioning

confidence: 99%

Oral Neutrophils: Underestimated Players in Oral Cancer

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Despite this, there may be variations in this number depending on the equipment and techniques used [ 42 ]. Zhao et al recently studied the number of matching proteins in five body fluids (i.e., plasma, urine, cerebrospinal fluid, amniotic fluid, and saliva) finding a total of 564 common proteins [ 43 ]. It has been hypothesized that the common proteins present in both plasma and saliva may be due to the intimate contact of saliva with crevicular fluid present at the periodontal pocket of sulcus level (such as albumin, transferrin, and immunoglobulins G and M) [ 34 ].…”

Section: The Salivary Proteome In the Health-illness Spectrummentioning

confidence: 99%

Protein-Based Salivary Profiles as Novel Biomarkers for Oral Diseases

et al. 2018

View full text Add to dashboard Cite

The Global Burden of Oral Diseases affects 3.5 billion people worldwide, representing the number of people affected by the burden of untreated dental caries, severe periodontal disease, and edentulism. Thus, much more efforts in terms of diagnostics and treatments must be provided in the fight of these outcomes. In this sense, recently, the study of saliva as biological matrix has been identified as a new landmark initiative in the search of novel and useful biomarkers to prevent and diagnose these conditions. Specifically, saliva is a rich reservoir of different proteins and peptides and accessible due to recent advances in molecular biology and specially in targeted and unbiased proteomics technologies. Nonetheless, emerging barriers are an obstacle to the study of the salivary proteome in an effective way. This review aims at giving an overall perspective of salivary biomarkers identified in several oral diseases by means of molecular biology approaches.

show abstract

“…Mass spectrometry-based proteomics relies on advanced LC-ESI-MS/MS technology, where peptide mixtures are separated by liquid chromatography (LC) prior analysis by electrospray ionization tandem mass spectrometry (ESI MS/MS) and protein identification by protein database searching [19, 20]. Current LC-MS/MS strategies enable comprehensive quantitative protein profiling from tissues and body fluids [21, 22]. While having been used to identify potential biomarkers or new candidate cancer targets and molecular signaling networks the relatively long LC gradients (hours) and extensive sample preparation protocols make it difficult to apply in a routine clinical setting.…”

Section: Introductionmentioning

confidence: 99%

Histo-molecular differentiation of renal cancer subtypes by mass spectrometry imaging and rapid proteome profiling of formalin-fixed paraffin-embedded tumor tissue sections

Möginger

Marcussen

Jensen

2020

Preprint

View full text Add to dashboard Cite

Background: Pathology assessment and differentiation of renal cancer types is challenging due to overlapping histological features of benign and malignant tumors, necessitating highlevel expertise. Mass spectrometry (MS) is an emerging tool for tumor classification of clinical tissue sections by spatial histo-molecular imaging or quantitative microproteomics profiling. Results: We applied MALDI MS imaging (MSI) and LC-MS/MS-based microproteomics technologies to analyze and classify renal oncocytoma (RO, n=11), clear cell renal cell carcinoma (ccRCC, n=12) and chromophobe renal cell carcinoma (CRCC, n=5). Both methods distinguished ccRCC, RO and CCRC with high accuracy in cross-validation experiments (MSI: 93-95%, LC-MS/MS: 100%). Significance: This integrated strategy combining MSI and rapid proteome profiling by LC-MS/MS reveals molecular features of tumor sections and enables cancer subtype classification. Mass spectrometry is a promising complementary approach to current pathological technologies for precise digitized diagnosis of diseases.

show abstract

A Comparative Proteomics Analysis of Five Body Fluids: Plasma, Urine, Cerebrospinal Fluid, Amniotic Fluid, and Saliva

Abstract: The quantitative comparative functional analysis indicated that body fluids might reflect the diverse functions of the whole body rather than the characteristics of their adjacent tissues. The above data might indicate the potential application of body fluids for biomarker discovery.

Cited by 61 publications

References 35 publications

Oral Neutrophils: Underestimated Players in Oral Cancer

Oral Neutrophils: Underestimated Players in Oral Cancer

Protein-Based Salivary Profiles as Novel Biomarkers for Oral Diseases

Histo-molecular differentiation of renal cancer subtypes by mass spectrometry imaging and rapid proteome profiling of formalin-fixed paraffin-embedded tumor tissue sections

Contact Info

Product

Resources

About