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RNA in Salivary Extracellular Vesicles as a Possible Tool for Systemic Disease Diagnosis SCIE SCOPUS

Title
RNA in Salivary Extracellular Vesicles as a Possible Tool for Systemic Disease Diagnosis
Authors
JIYOON, KIMShin, HyunwooPARK, JAE SUNG
Date Issued
2017-07
Publisher
Sage Journals
Abstract
Saliva contains biological information as blood and is recognized as a valuable diagnostic medium for their noninvasiveness. Although -omics researches have tried to investigate saliva, the origin and significance of its contents are not clear, and its usage is largely confined to oral disease in the diagnostic and prognostic field. In an attempt to broaden the applicability of saliva and to find systemic disease-derived RNA in saliva, we made mouse models that had human melanoma and isolated extracellular vesicles (EVs) from their saliva by an aqueous 2-phase system (ATPS), then identified and evaluated their expression of human melan-A RNA, which is associated with melanoma on skin. With ATPS, EVs were isolated efficiently and stably while taking less time compared to isolation by ultracentrifugation. When ATPS was used to isolate EVs from saliva, the mean +/- SD percentage of EVs recovered from initial EVs was 38.22% +/- 18.55% by the number of particles, and the mean +/- SD percentage of RNA recovered from the initial amount was 60.33% +/- 5.34%. RNAs within isolated EVs were analyzed subsequently by reverse transcription quantitative polymerase chain reaction and polymerase chain reaction from saliva and plasma. In melanoma mice, amplification of human melan-A was identified from saliva and plasma, even though a relative amount of normalized melan-A was lower than that of plasma. These results present a possibility that RNAs derived from systemic disease are transferred into saliva from blood in EVs. Also, they suggest that saliva could be exploited in obtaining information about systemic disease, not only about oral disease, by examining RNAs in EVs from saliva instead of blood.
Keywords
TUMOR-MARKER; CANCER; MELANOMA; EXOSOMES; BIOMARKER; PLASMA; FLUIDS; MODEL
URI
https://oasis.postech.ac.kr/handle/2014.oak/39394
DOI
10.1177/0022034517702100
ISSN
0022-0345
Article Type
Article
Citation
Journal of Dental Research, vol. 96, no. 8, 2017-07
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박재성PARK, JAE SUNG
Dept of Mechanical Enginrg
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