Salivary Biomarkers in Systemic Sclerosis Disease

Joint Authors

Barakat, Amina
Ghailani Nourouti, Naima
Bennani Mechita, Mohcine
Zian, Zeineb
Bakkach, Joaira

Source

BioMed Research International

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

Medicine

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