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ePoster
SERUM 1H-NMR METABOLOMIC PROFILING DISTINGUISHES OCB TYPE 1 AND TYPE 2 PATTERNS IN EARLY POSSIBLE MULTIPLE SCLEROSIS
Pinar Senguland 2 co-authors
Acibadem University
FENS Forum 2026 (2026)
Barcelona, Spain
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Presenter and authors
Presenter
Pinar Sengul
Acibadem University
Co-authors
Ahmet Tarik Baykal; Mustafa Serteser
Abstract
Oligoclonal band (OCB) profiles are central to the diagnostic evaluation of early multiple sclerosis (MS). OCB Type 2 reflects intrathecal IgG synthesis, whereas Type 1 indicates immunological inactivity. Whether these immunological differences are reflected in peripheral serum metabolism remains unclear. Identifying metabolic correlates of early immune activation may support the development of minimally invasive biomarkers complementary to cerebrospinal fluid (CSF) analysis.
Archived serum samples from patients evaluated for suspected central nervous system inflammatory disease were analyzed using quantitative 1H-NMR spectroscopy. OCB Type 1 (n = 24) and OCB Type 2 (n = 25) groups were compared. Metabolites were quantified using Chenomx software. Statistical analyses included non-parametric group comparisons, principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), variable importance in projection (VIP) scoring, and receiver operating characteristic (ROC) analyses.
OCB Type 1 and Type 2 patients exhibited distinct serum metabolic profiles. Amino acid–related metabolites showed the most pronounced differences, with leucine, histidine, and glycine significantly differing between groups (p < 0.05). Multivariate analyses supported these findings: PLS-DA demonstrated separation between groups, key metabolites showed elevated VIP scores (>1.0), and ROC analyses indicated good discriminatory performance. Unsupervised PCA revealed a trend toward group separation consistent with OCB status.
Serum 1H-NMR metabolomic profiling differentiates OCB Type 1 and Type 2 patterns, indicating that intrathecal immune status is associated with measurable peripheral metabolic differences. These findings support the potential role of serum metabolites as minimally invasive biomarkers to complement CSF-based diagnostics in early MS.
Archived serum samples from patients evaluated for suspected central nervous system inflammatory disease were analyzed using quantitative 1H-NMR spectroscopy. OCB Type 1 (n = 24) and OCB Type 2 (n = 25) groups were compared. Metabolites were quantified using Chenomx software. Statistical analyses included non-parametric group comparisons, principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), variable importance in projection (VIP) scoring, and receiver operating characteristic (ROC) analyses.
OCB Type 1 and Type 2 patients exhibited distinct serum metabolic profiles. Amino acid–related metabolites showed the most pronounced differences, with leucine, histidine, and glycine significantly differing between groups (p < 0.05). Multivariate analyses supported these findings: PLS-DA demonstrated separation between groups, key metabolites showed elevated VIP scores (>1.0), and ROC analyses indicated good discriminatory performance. Unsupervised PCA revealed a trend toward group separation consistent with OCB status.
Serum 1H-NMR metabolomic profiling differentiates OCB Type 1 and Type 2 patterns, indicating that intrathecal immune status is associated with measurable peripheral metabolic differences. These findings support the potential role of serum metabolites as minimally invasive biomarkers to complement CSF-based diagnostics in early MS.