Salivary Biomarkers in Systemic Sclerosis Disease. (12th March 2018)
- Record Type:
- Journal Article
- Title:
- Salivary Biomarkers in Systemic Sclerosis Disease. (12th March 2018)
- Main Title:
- Salivary Biomarkers in Systemic Sclerosis Disease
- Authors:
- Zian, Zeineb
Bakkach, Joaira
Barakat, Amina
Ghailani Nourouti, Naima
Bennani Mechita, Mohcine - Other Names:
- e Silva Fernando C. Academic Editor.
- Abstract:
- Abstract : 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.
- Is Part Of:
- BioMed research international. Volume 2018(2018)
- Journal:
- BioMed research international
- Issue:
- Volume 2018(2018)
- Issue Display:
- Volume 2018, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 2018
- Issue:
- 2018
- Issue Sort Value:
- 2018-2018-2018-0000
- Page Start:
- Page End:
- Publication Date:
- 2018-03-12
- Subjects:
- Medicine -- Periodicals
Biology -- Periodicals
Biotechnology -- Periodicals
Life sciences -- Periodicals
610.5 - Journal URLs:
- https://www.hindawi.com/journals/bmri/ ↗
- DOI:
- 10.1155/2018/3921247 ↗
- Languages:
- English
- ISSNs:
- 2314-6133
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 10294.xml