Şengül Pınar, Baykal Ahmet Tarık, Serteser Mustafa
Department of Neuroscience, Health Sciences Institute, Acıbadem Mehmet Ali Aydınlar University, Istanbul, Türkiye.
Faculty of Medicine, Department of Medical Biochemistry, Acıbadem Mehmet Ali Aydınlar University, Istanbul, Istanbul, 34638, Türkiye.
J Mol Neurosci. 2025 Sep 15;75(3):117. doi: 10.1007/s12031-025-02407-7.
Oligoclonal band (OCB) analysis in cerebrospinal fluid (CSF) remains a cornerstone for the early diagnosis of multiple sclerosis (MS), with recent criteria highlighting the κ-free light chain (κ-FLC) index as a sensitive marker of intrathecal immunoglobulin synthesis. However, both approaches rely on lumbar puncture. To address the need for less invasive tools, this study employed proton nuclear magnetic resonance (H-NMR)-based serum metabolomics to explore whether peripheral metabolic signatures can distinguish immunophenotypic subgroups, namely OCB Type 1 and Type 2, in patients with suspected early-stage MS. To investigate whether targeted proton nuclear magnetic resonance (H-NMR) serum metabolomics can differentiate between individuals with OCB Type 1 (no intrathecal synthesis) and OCB Type 2 (definite intrathecal synthesis), as a step toward non-invasive metabolic stratification in possible early-stage MS. Serum samples (n = 49) were classified by OCB profile and analysed using targeted H-NMR spectroscopy. All spectra were acquired at 298 K on a Bruker Avance Neo 600 MHz spectrometer. Metabolites were identified using Bruker BioRefCode libraries, and absolute quantification was performed using the ERETIC (Electronic Reference To access In vivo Concentrations) signal. Statistical analysis included age-adjusted univariate tests (t-test or Wilcoxon rank-sum, depending on normality) with false discovery rate (FDR) correction, followed by multivariate analyses including principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), variable importance in projection (VIP) scores, and ROC-AUC permutations using the pROC package in R. Of the quantified metabolites, Leucine emerged as a robust differentiator, showing significant elevation in OCB Type 2 after both age adjustment and multiple testing correction (p = 0.025, FDR-adjusted; VIP = 2.38; AUC = 0.74), and correlating moderately with the IgG index (r = 0.32, p = 0.026). Histidine, Glycine, Sarcosine, and Succinic acid met VIP > 1.5 thresholds but did not survive FDR correction and are therefore reported as exploratory candidates. This pilot study identifies Leucine as a promising serum biomarker candidate for early intrathecal immune activity. Although additional metabolites showed potential, their findings remain exploratory due to statistical limitations. These results highlight the potential of targeted serum metabolomics as a non-invasive adjunct in early MS risk stratification and support further validation studies incorporating κ-FLC data and longitudinal follow-up.
脑脊液(CSF)中的寡克隆带(OCB)分析仍然是多发性硬化症(MS)早期诊断的基石,最近的标准强调κ-游离轻链(κ-FLC)指数是鞘内免疫球蛋白合成的敏感标志物。然而,这两种方法都依赖腰椎穿刺。为了满足对侵入性较小工具的需求,本研究采用基于质子核磁共振(H-NMR)的血清代谢组学来探索外周代谢特征是否可以区分疑似早期MS患者的免疫表型亚组,即OCB 1型和2型。为了研究靶向质子核磁共振(H-NMR)血清代谢组学是否可以区分OCB 1型(无鞘内合成)和OCB 2型(明确鞘内合成)的个体,作为在可能的早期MS中进行非侵入性代谢分层的一步。血清样本(n = 49)按OCB谱分类,并使用靶向H-NMR光谱进行分析。所有光谱均在298 K下于布鲁克Avance Neo 600 MHz光谱仪上采集。使用布鲁克生物参考代码库鉴定代谢物,并使用ERETIC(用于获取体内浓度的电子参考)信号进行绝对定量。统计分析包括年龄调整后的单变量检验(t检验或Wilcoxon秩和检验,取决于正态性)并进行错误发现率(FDR)校正,随后进行多变量分析,包括主成分分析(PCA)、偏最小二乘判别分析(PLS-DA)、投影变量重要性(VIP)评分以及使用R中的pROC包进行ROC-AUC置换。在定量的代谢物中,亮氨酸是一种可靠的区分指标,在年龄调整和多次检验校正后,OCB 2型中显著升高(p = 0.025,FDR调整后;VIP = 2.38;AUC = 0.74),并且与IgG指数中度相关(r = 0.32,p = 0.026)。组氨酸、甘氨酸、肌氨酸和琥珀酸达到VIP > 1.5阈值,但未通过FDR校正,因此作为探索性候选物报告。这项初步研究将亮氨酸确定为早期鞘内免疫活性的有前景的血清生物标志物候选物。尽管其他代谢物显示出潜力,但由于统计限制,它们的发现仍具有探索性。这些结果突出了靶向血清代谢组学作为早期MS风险分层中非侵入性辅助手段的潜力,并支持纳入κ-FLC数据和纵向随访的进一步验证研究。