Construction and characterization of the Korean whole saliva proteome to determine ethnic differences in human saliva proteome

As the first step to discover protein disease biomarkers from saliva, global analyses of the saliva proteome have been carried out since the early 2000s, and more than 3,000 proteins have been identified in human saliva. Recently, ethnic differences in the human plasma proteome have been reported, b...

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Bibliographic Details
Published in:PloS one 2017-07, Vol.12 (7), p.e0181765-e0181765
Main Authors: Cho, Ha Ra, Kim, Han Sol, Park, Jun Seo, Park, Seung Cheol, Kim, Kwang Pyo, Wood, Troy D, Choi, Yong Seok
Format: Article
Language:English
Subjects:
Adult
Asian Continental Ancestry Group
Biological markers
Biology and Life Sciences
Biomarkers
Biomarkers - analysis
Blood plasma
Cardiovascular disease
Chromatography
Construction
Cultural differences
Ethnicity
Health aspects
Humans
Identification and classification
Indexing
Knowledge representation
Male
Mass spectrometry
Medicine and Health Sciences
Methods
Minority & ethnic groups
Pharmaceutical sciences
Pharmacy
Plasma
Proteins
Proteome - analysis
Proteomics
Proteomics - methods
Republic of Korea
Saliva
Saliva - chemistry
Salivary diagnostics
Salivary Proteins and Peptides - analysis
Scientific imaging
Studies
Tuberculosis
Young Adult
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Summary:As the first step to discover protein disease biomarkers from saliva, global analyses of the saliva proteome have been carried out since the early 2000s, and more than 3,000 proteins have been identified in human saliva. Recently, ethnic differences in the human plasma proteome have been reported, but such corresponding studies on human saliva in this aspect have not been previously reported. Thus, here, in order to determine ethnic differences in the human saliva proteome, a Korean whole saliva (WS) proteome catalogue indexing 480 proteins was built and characterized through nLC-Q-IMS-TOF analyses of WS samples collected from eleven healthy South Korean male adult volunteers for the first time. Identification of 226 distinct Korean WS proteins, not observed in the integrated human saliva protein dataset, and significant gene ontology distribution differences in the Korean WS proteome compared to the integrated human saliva proteome strongly support ethnic differences in the human saliva proteome. Additionally, the potential value of ethnicity-specific human saliva proteins as biomarkers for diseases highly prevalent in that ethnic group was confirmed by finding 35 distinct Korean WS proteins likely to be associated with the top 10 deadliest diseases in South Korea. Finally, the present Korean WS protein list can serve as the first level reference for future proteomic studies including disease biomarker studies on Korean saliva.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0181765