The correlation between circulating DNA fragments, inflammation, oxidative stress biomarkers, and progressive multiple sclerosis: a case-control study
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Updated: Mar 4, 2026

Comprehensive Autopsy Program for Individuals with Multiple Sclerosis
Published on: July 19, 2019
1Department of Neurology, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China.
Objective:
Cell-free DNA (cfDNA) is increasingly used in clinical diagnostics; however, its role in progressive multiple sclerosis (PMS) remains underexplored. This study aimed to investigate the relationship between cfDNA characteristics and disease status in PMS by analyzing cfDNA concentration and fragment size, along with biomarkers of inflammatory and oxidative stress.
Methods:
A case-control study was conducted involving 95 PMS patients and 95 matched healthy controls. Based on the 2017 McDonald criteria, PMS patients were further classified into secondary PMS (SPMS, n = 73) and primary PMS (PPMS, n = 22) groups. We measured and compared the levels of cfDNA, inflammatory markers - including the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII) - and oxidative stress indicators, such as malondialdehyde (MDA), total antioxidant capacity (T-AOC), glutathione (GSH), and catalase (CAT).
Results:
Significant differences were observed between PMS patients and controls in cfDNA content, fragment size, inflammatory indices, and oxidative stress markers (all p < 0.001). Furthermore, PPMS patients exhibited higher cfDNA content, greater fragment size, and elevated levels of SII, MDA, and CAT compared to SPMS patients (all p < 0.01). CfDNA content was positively correlated with SII (r = 0.274, p = 0.007), MDA (r = 0.267, p = 0.009), and CAT (r = 0.255, p = 0.013). ROC analysis indicated that both cfDNA content (AUC = 0.781) and fragment size (AUC = 0.712) had diagnostic value for PPMS, and their combination yielded the highest efficacy (AUC = 0.823, p < 0.001).
Conclusions:
CfDNA parameters are significantly altered in PMS patients and correlate with inflammatory and oxidative stress markers. These findings suggest that cfDNA could serve as a promising biomarker for the early diagnosis and stratification of PMS.
Insights
Cell-free DNA (cfDNA) levels and fragment size are altered in progressive multiple sclerosis (PMS) patients, correlating with inflammation and oxidative stress. These cfDNA characteristics show diagnostic potential for primary PMS (PPMS).
Area of Science:
- Biochemistry
- Clinical Diagnostics
- Neuroimmunology
Background:
- Cell-free DNA (cfDNA) is a developing biomarker in clinical diagnostics.
- Its utility in progressive multiple sclerosis (PMS) requires further investigation.
- Understanding cfDNA's role can aid in disease management.
Purpose of the Study:
- To investigate the relationship between cfDNA characteristics and disease status in PMS.
- To analyze cfDNA concentration and fragment size in relation to inflammatory and oxidative stress biomarkers.
- To assess the diagnostic value of cfDNA for distinguishing PMS subtypes.
Main Methods:
- A case-control study involving 95 PMS patients and 95 healthy controls.
- PMS patients were classified into secondary PMS (SPMS) and primary PMS (PPMS) groups.
- Measured cfDNA, inflammatory markers (NLR, PLR, SII), and oxidative stress indicators (MDA, T-AOC, GSH, CAT).
Main Results:
- Significant differences in cfDNA, inflammatory indices, and oxidative stress markers were found between PMS patients and controls (p < 0.001).
- PPMS patients showed higher cfDNA content, larger fragment size, and elevated SII, MDA, and CAT compared to SPMS patients (p < 0.01).
- cfDNA content correlated positively with SII, MDA, and CAT. ROC analysis demonstrated diagnostic value for cfDNA content and fragment size in PPMS.
Conclusions:
- cfDNA parameters are significantly altered in PMS and correlate with inflammation and oxidative stress.
- cfDNA shows potential as a biomarker for early diagnosis and stratification of PMS.
- Further research can validate cfDNA's role in PMS management.
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