Evidence map›Paper›PMID 28742128›Full record

ArticlePloS one2017

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

Ha Ra Cho, Han Sol Kim, Jun Seo Park, Seung Cheol Park, Kwang Pyo Kim, Troy D Wood, Yong Seok Choi

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. HBFP: a new repository for human body fluid proteome.Database : the journal of biological databases and curation · 2021
    Article
  4. Article
  5. Review
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Ha Ra ChoCollege of Pharmacy, Dankook University, Cheonan, Chungnam, South Korea.
Han Sol KimCollege of Pharmacy, Dankook University, Cheonan, Chungnam, South Korea.
Jun Seo ParkCollege of Pharmacy, Dankook University, Cheonan, Chungnam, South Korea.
Seung Cheol ParkDepartment of Applied Chemistry, The Institute of Natural Science, College of Applied Science, Kyung Hee University, Yongin, Kyoungki, South Korea.
Kwang Pyo KimDepartment of Applied Chemistry, The Institute of Natural Science, College of Applied Science, Kyung Hee University, Yongin, Kyoungki, South Korea.
Troy D WoodDepartment of Chemistry, The State University of New York at Buffalo, Buffalo, New York, United States of America.
Yong Seok ChoiCollege of Pharmacy, Dankook University, Cheonan, Chungnam, South Korea.ORCID http://orcid.org/0000-0001-6740-3160
Dankook University · KRKyung Hee University · KRUniversity at Buffalo, State University of New York · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

AdultAsian PeopleBiomarkersHumansMaleProteomeProteomicsRepublic of KoreaSalivaSalivary Proteins and PeptidesYoung AdultBiomarkersProteomeSalivary Proteins and Peptides

Identifiers

PMID28742128
PMCPMC5524414
OpenAlexW2736708639

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.