Salivary Biomarkers in Systemic Sclerosis Disease
Joint Authors
Barakat, Amina
Ghailani Nourouti, Naima
Bennani Mechita, Mohcine
Zian, Zeineb
Bakkach, Joaira
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-12
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Scleroderma or systemic sclerosis (SSc) is frequently detected at an advanced stage due to diagnosis difficulties.
Salivary biomarkers, if existing, could be used for predictive diagnosis of this disease.
Human saliva contains a large number of proteins that can be used for diagnosis and are of great potential in clinical research.
The use of proteomic analysis to characterize whole saliva (WS) in SSc has gained an increasing attention in the last years and the identification of salivary proteins specific for SSc could lead to early diagnosis or new therapeutic targets.
This review will present an overview about the use of WS in SSc studies.
The proteomic technologies currently used for global identification of salivary proteins in SSc, as well as the advantages and limitations for the use of WS as a diagnostic tool, will be presented.
American Psychological Association (APA)
Zian, Zeineb& Bakkach, Joaira& Barakat, Amina& Ghailani Nourouti, Naima& Bennani Mechita, Mohcine. 2018. Salivary Biomarkers in Systemic Sclerosis Disease. BioMed Research International،Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1126224
Modern Language Association (MLA)
Zian, Zeineb…[et al.]. Salivary Biomarkers in Systemic Sclerosis Disease. BioMed Research International No. 2018 (2018), pp.1-7.
https://search.emarefa.net/detail/BIM-1126224
American Medical Association (AMA)
Zian, Zeineb& Bakkach, Joaira& Barakat, Amina& Ghailani Nourouti, Naima& Bennani Mechita, Mohcine. Salivary Biomarkers in Systemic Sclerosis Disease. BioMed Research International. 2018. Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1126224
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1126224