The Use of Kappa Free Light Chains to Diagnose Multiple Sclerosis

Role of soluble biomarkers in treating multiple sclerosis and neuroinflammatory conditions

Multiple sclerosis (MS) is a complex, chronic immune-mediated disease characterized by acute and progressive inflammatory damage of the central nervous system. MS manifests clinically with unpredictable neurological symptoms from focal inflammatory attacks as well as gradual neurodegeneration which contribute significantly to long-term disability progression. As treatment options advance, developing more personalized strategies capture heterogeneous mechanisms of injury which may be targeted or predict outcomes has been a focus of ongoing investigation. The role of soluble biomarkers has emerged as a pivotal tool to assist in these goals. Early promising candidates include neurofilament light chain (NfL) and glial fibrillary acidic protein (GFAP); these intermediate filaments that are expressed in neurons and astrocytes, respectively, are reliably measurable from blood samples and can reveal clinical and subclinical changes, as well as predict progression. Changes in these biomarkers can indicate a response to therapy, thus potentially be used as endpoints in clinical trials. Furthermore, recent research has identified a potential role of these and other soluble biomarkers in other neuroimmunological conditions including neuromyelitis spectrum disorder (NMOSD) and myelin oligodendrocyte glycoprotein associated disease (MOGAD), autoimmune encephalitis, neurosarcoidosis, neuropsychiatric involvement in connective tissue disorders and vasculitides, and a host of neurodegenerative conditions. By integrating biomarker analysis into routine clinical assessments, healthcare providers may move toward a more nuanced and individualized care model, better equipped to meet the challenges posed by these multifaceted diseases. Understanding the dynamics of these biomarkers has many applications that can improve personalized medicine in MS.

Serum Neurofilament and Free Light Chain Levels in Patients Undergoing Treatment for Chronic Inflammatory Demyelinating Polyneuropathy

Chronic inflammatory demyelinating polyradiculoneuropathy (CIDP) is an immune-mediated disorder affecting the peripheral nervous system. Despite the established diagnostic criteria, monitoring disease activity and treatment remains challenging. To address this limitation, we investigated serum neurofilament light chain (sNfL) and serum free light chains (sFLCs) as potential biomarkers. A total of 32 CIDP patients undergoing immunoglobulin therapy and 32 healthy controls enrolled in the present study, and agreed to have their blood plasma sNfL and sFLCs analyzed, while CIDP severity was assessed through the modified Rankin Scale (mRS) and the Overall Neuropathy Limitations Scale (ONLS). In line with the immunoglobulin treatment aimed at limiting neuronal damage administered to the majority of patients, sNfL levels did not exhibit significant differences between the two groups. However, CIDP patients showed significantly elevated sFLC and sFLC ratios, while the marker levels did not correlate with the clinical scores. The study confirms the potential of sFLCs as a sensitive biomarker of inflammatory processes in CIDP. Additionally, the present study results regarding neurofilaments strengthen the role of sNfL in monitoring CIDP treatments, confirming the effectiveness of immunoglobulin therapy. Overall, our results demonstrate how combining these markers can lead to better patient characterization for improved treatment.

Predictive value of brain atrophy, serum biomarkers and information processing speed for early disease progression in multiple sclerosis

INTRODUCTION

Multiple sclerosis (MS) is a chronic autoimmune-mediated demyelinating disease of the central nervous system (CNS). A clinical presentation of the disease is highly differentiated even from the earliest stages of the disease. The application of stratifying tests in clinical practice would allow for improving clinical decision-making including a proper assessment of treatment benefit/risk balance.

METHODS

This prospective study included patients with MS diagnosed up to 1 year before recruitment. We analyzed serum biomarkers such as CXCL13, CHI3L1, OPN, IL-6, and GFAP and neurofilament light chains (NfLs); brain MRI parameters of linear atrophy such as bicaudate ratio (BCR), third ventricle width (TVW); and information processing speed were measured using the Symbol Digit Modalities Test (SDMT) during the 2 years follow-up.

RESULTS

The study included a total of 50 patients recruited shortly after the diagnosis of MS diagnosis (median 0 months; range 0-11 months), and the mean time of observation was 28 months (SD = 4.75). We observed a statistically significant increase in the EDSS score (Wilcoxon test: Z = 3.06, p = 0.002), BCR (Wilcoxon test: Z = 4.66, p < 0.001), and TVW (Wilcoxon test: Z = 2.84, p = 0.005) after 2 years of disease. Patients who had a significantly higher baseline level of NfL suffered from a more severe disease course as per the EDSS score (Mann-Whitney U-test: U = 107, Z = -2,74, p = 0.006) and presence of relapse (Mann-Whitney U-test: U = 188, Z = -2.01, p = 0.044). In the logistic regression model, none of the parameters was a significant predictor for the achieving of no evidence of disease activity status (NEDA). In the model considering all assessed parameters, only the level of NfL had a significant impact on disease progression, measured as the increase in EDSS (logistic regression: β = 0.002, p = 0.017).

CONCLUSION

We confirmed that NfL levels in serum are associated with more active disease. Moreover, we found that TVW at the time of diagnosis was associated with an impairment in cognitive function measured by information processing speed at the end of the 2-year observation. The inclusion of serum NfL and TVW assessment early in the disease may be a good predictor of disease progression independent of NEDA.