Treatment Response Biomarkers for Systemic Sclerosis-Associated Interstitial Lung Disease
- 1University of California, Los Angeles.
- 2Nippon Medical School, Tokyo, Japan.
- 3University of Texas Health Science Center at Houston.
- 0University of California, Los Angeles.
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View abstract on PubMed
Summary
This summary is machine-generated.Changes in Krebs von den Lungen (KL)-6 levels predict progressive pulmonary fibrosis (PPF) in systemic sclerosis-associated interstitial lung disease (SSc-ILD) patients. This biomarker aids in personalizing SSc-ILD treatment strategies.
Area Of Science
- Rheumatology
- Pulmonology
- Biomarker Discovery
Background
- Systemic sclerosis-associated interstitial lung disease (SSc-ILD) is a significant cause of morbidity and mortality.
- Predicting progressive pulmonary fibrosis (PPF) in SSc-ILD patients is crucial for timely therapeutic intervention.
- Current predictive models for PPF require enhancement with dynamic biomarkers.
Purpose Of The Study
- To investigate the predictive value of changes in circulating biomarkers for the development of PPF in SSc-ILD patients undergoing treatment.
- To assess the utility of longitudinal biomarker measurements in refining PPF risk stratification.
Main Methods
- Analysis of longitudinal biomarker data (CRP, IL-6, CXCL4, CCL18, KL-6) from Scleroderma Lung Study II participants.
- Comparison of mycophenolate mofetil (MMF) versus cyclophosphamide (CYC) treatment arms.
- Logistic regression modeling to evaluate the association between biomarker changes and PPF development by 24 months.
Main Results
- Changes in Krebs von den Lungen (KL)-6 levels significantly correlated with PPF development (P < 0.001).
- Elevated KL-6 changes were observed in patients who developed PPF, while decreases were seen in those who did not.
- In the MMF arm, changes in C-reactive protein (CRP) and CXCL4 also correlated with PPF; change in KL-6 remained a significant predictor (OR 1.4; P = 0.0002) when added to baseline models.
Conclusions
- Longitudinal changes in KL-6 levels effectively predict PPF in SSc-ILD patients treated with MMF or CYC.
- KL-6 serves as a valuable dynamic biomarker for assessing fibrosis progression.
- Incorporating KL-6 monitoring into clinical practice may enable personalized treatment strategies for SSc-ILD.
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