Systemic sclerosis biomarkers discovered using mass-spectrometry-based proteomics: a systematic review

Abstract

Context: Systemic sclerosis (SSc) is an autoimmune disease with incompletely known physiopathology. There is a great challenge to predict its course and therapeutic response using biomarkers.

Objective: To critically review proteomic biomarkers discovered from biological specimens from systemic sclerosis patients using mass spectrometry technologies.

Methods: Medline and Embase databases were searched in February 2014.

Results: Out of the 199 records retrieved, a total of 20 records were included, identifying 116 candidate proteomic biomarkers.

Conclusion: Research in SSc proteomic biomarkers should focus on biomarker validation, as there are valuable mass-spectrometry proteomics studies in the literature.