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An update on biomarker discovery and use in systemic sclerosis
Takashi Matsushita1, Kazuhiko Takehara1
1a Department of Dermatology, Faculty of Medicine, Institute of Medical, Pharmaceutical and Health Sciences , Kanazawa University , Kanazawa , Japan.
Expert Review of Molecular Diagnostics
|July 22, 2017
Summary
Systemic sclerosis (SSc) biomarkers aid in diagnosis and predicting disease course. Identifying these markers is crucial for managing this complex autoimmune condition and improving patient outcomes.
Area of Science:
- Rheumatology
- Immunology
- Pathophysiology
Background:
- Systemic sclerosis (SSc) is a heterogeneous autoimmune disease.
- Key features include autoimmunity, vasculopathy, and fibrosis, leading to organ damage.
- Predictive biomarkers are needed for personalized clinical management.
Purpose of the Study:
- To review current and emerging biomarkers for Systemic sclerosis (SSc).
- To categorize biomarkers based on diagnostic, prognostic, and clinical application.
- To highlight biomarkers for specific SSc manifestations.
Main Methods:
- Literature search of PubMed focusing on the last 5 years.
- Review of studies on Systemic sclerosis (SSc) biomarkers.
- Categorization of identified biomarkers.
Main Results:
- Biomarkers are classified into activity, severity, and predictive categories.
- Chemokines CCL2 and CXCL4 are linked to skin and lung fibrosis.
- Anti-RNA polymerase III antibody predicts gastric issues and malignancy.
Conclusions:
- Biomarkers are essential for diagnosing and managing Systemic sclerosis (SSc).
- Specific biomarkers can predict disease progression and complications.
- Further research into novel biomarkers will advance SSc patient care.
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