ArticlePloS one2017
Construction and characterization of the Korean whole saliva proteome to determine ethnic differences in human saliva proteome.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed, 13 citations in OpenAlex.
- Comparisons of Whole Saliva and Cell Free Saliva by DIA-Based Proteome Profiling.Proteomics. Clinical applications · 2025Article
- Salivary protein candidates for biomarkers of oral disorders in people with a crack cocaine use disorder.Journal of applied oral science : revista FOB · 2023Article
- HBFP: a new repository for human body fluid proteome.Database : the journal of biological databases and curation · 2021Article
- Human OMICs and Computational Biology Research in Africa: Current Challenges and Prospects.Omics : a journal of integrative biology · 2021Article
- Human body-fluid proteome: quantitative profiling and computational prediction.Briefings in bioinformatics · 2021Review
- Salivary proteomics of healthy dogs: An in depth catalog.PloS one · 2018Article
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
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Abstract
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.
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