Comparison of diffusion-weighted imaging and enhanced T1-weighted sequencing in patients with multiple sclerosis

Comparison of SIMOA and VEUS technologies for serum neurofilament light chain measurement in multiple sclerosis

INTRODUCTION

The gold standard for serum neurofilament light chain (sNfL) determination is the single molecule array (SIMOA), the use of which is limited by availability and cost. The VEUS method is a fully automated, user-friendly diagnostic system requiring no sample preparation, with high reported sensitivity, multiplexing capability, and rapid diagnostics. The aim of this study was to compare the SIMOA and VEUS methods for determining sNfL levels in patients with multiple sclerosis (MS).

METHODOLOGY

A single-centre cross-sectional study was conducted at the MS Centre of University Hospital Ostrava. Patients were enrolled in the study from January 18 to January 31, 2024. Inclusion criteria were: 1) diagnosis of MS according to the revised 2017 McDonald criteria, 2) age ≥18 years, and 3) signed informed consent. The NF-light V2 diagnostic kit (SIMOA, Quanterix) and the Singleplex Neurology assay kit (VEUDx, EZDiatech) were used to determine sNfL concentrations. The two methods were compared by use of Spearman correlation, Passing-Bablok regression, and Bland-Altman analysis.

RESULTS

A total of 49 patients were included in the study, of whom 39 (79.6 %) were female. The median sNfL concentration was 7.73 (IQR 5.80-9.93) ng/L determined by SIMOA and 1.31 (IQR 1.18-1.65) ng/L by VEUS. We did not find a correlation between SIMOA and VEUS (rs = 0.025, p = 0.866). Passing-Bablok regression demonstrated a systematic and proportional difference between the two methods. A significant disagreement between them was also confirmed by the Bland-Altman plots. On average, sNfL values measured by SIMOA were 3.56 ng/L (95 % CI 0.78 to 6.34) higher than those measured by VEUS.

CONCLUSION

Our investigation uncovered noteworthy disparities between the SIMOA and VEUS techniques in determining sNfL levels. Specifically, the VEUS technique systematically produces lower estimates of sNFL levels. This substantial variance emphasizes the importance of carefully evaluating assay methods when quantifying sNfL.

Cerebrospinal fluid neurofilament light chains and CXCL13 as predictive factors for clinical course of multiple sclerosis

AIM

The aim of this study was to identify whether NfL and CXCL13 cerebrospinal fluid (CSF) concentrations at diagnostic lumbar puncture can predict the course of multiple sclerosis (MS) in terms of relapses, higher expanded disability status scale (EDSS) and magnetic resonance imaging (MRI) activity.

METHODS

We conducted a single-centre prospective observational cohort study at the MS center, University Hospital Ostrava, Czech Republic. CSF NfL (cNfL) and CXCL13 concentrations were examined (ELISA method) in patients with clinically isolated syndrome (CIS) and relapsing-remitting MS (RRMS) at the time of diagnostic lumbar puncture.

RESULTS

A total of 44 patients with CIS or early RRMS were enrolled, 31 (70.5%) of whom were women. The median age at the time of CSF sampling was 31.21 years (IQR 25.43-39.32), and the follow-up period was 54.6 months (IQR 44.03-59.48). In the simple and multiple logistic regression models, CXCL13 levels did not predict relapses, MRI activity or EDSS > 2.5. Similarly, cNfL concentrations did not predict relapses or MRI activity in either model. In the multiple regression, higher cNfL levels were associated with reaching EDSS > 2.5 (odds ratio [OR] 1.002, 95% confidence interval [CI] 1.000 to 1.003).

CONCLUSIONS

Our data did not confirm cNfL and/or CXCL13 CSF levels were predictive factors for disease activity such as relapses and MRI activity at the time of diagnostic lumbar puncture in patients with RRMS. While cNfL CSF levels predicted higher disability only after adjustment for other known risk factors, elevated CSF CXCL13 did not predict higher disability at all.

Current and Future Biomarkers in Multiple Sclerosis

Multiple sclerosis (MS) is a debilitating autoimmune disorder. Currently, there is a lack of effective treatment for the progressive form of MS, partly due to insensitive readout for neurodegeneration. The recent development of sensitive assays for neurofilament light chain (NfL) has made it a potential new biomarker in predicting MS disease activity and progression, providing an additional readout in clinical trials. However, NfL is elevated in other neurodegenerative disorders besides MS, and, furthermore, it is also confounded by age, body mass index (BMI), and blood volume. Additionally, there is considerable overlap in the range of serum NfL (sNfL) levels compared to healthy controls. These confounders demonstrate the limitations of using solely NfL as a marker to monitor disease activity in MS patients. Other blood and cerebrospinal fluid (CSF) biomarkers of axonal damage, neuronal damage, glial dysfunction, demyelination, and inflammation have been studied as actionable biomarkers for MS and have provided insight into the pathology underlying the disease process of MS. However, these other biomarkers may be plagued with similar issues as NfL. Using biomarkers of a bioinformatic approach that includes cellular studies, micro-RNAs (miRNAs), extracellular vesicles (EVs), metabolomics, metabolites and the microbiome may prove to be useful in developing a more comprehensive panel that addresses the limitations of using a single biomarker. Therefore, more research with recent technological and statistical approaches is needed to identify novel and useful diagnostic and prognostic biomarker tools in MS.

Expression and diagnostic values of MIAT, H19, and NRON long non-coding RNAs in multiple sclerosis patients

Background

Multiple sclerosis (MS) is a chronic inflammatory disease. Various long non-coding RNAs (lncRNAs) appear to have an important role in the pathophysiology of MS. This study aimed at evaluating the expression levels of lncRNAs, MIAT, H19, and NRON in peripheral blood of MS cases to a healthy control group. We collected blood samples of 95 MS cases (76 relapsing–remitting (RR) and 19 secondary progressive (SP) MS) and 95 controls. We used quantitative real-time PCR for the evaluation of gene expression. The correlation between expression with clinical parameters was analyzed by a multiple linear regression model. Receiver operating characteristic (ROC) curve analysis was carried out to detect the diagnostic potential of lncRNAs levels according to the area under the curve (AUC).

Results

MIAT, H19, and NRON were significantly increased in the RRMS and SPMS subgroups compared to the controls. We found that the H19 and MIAT expression significantly were higher in SPMS compared with RRMS. Patients with RRMS had a greater level of the average NRON expression is compared with SPMS patients. The expression level of H19 significantly was higher in females relative to male patients. Based on the area under curve (AUC) values, NRON had the best performance in the differentiation of MS patients from controls (AUC = 0.95, P < 0.0001). A combination of MIAT, H19, and NRON expression levels could be useful in differentiating MS patients with 93.6% sensitivity, 98.9% specificity, and diagnostic power of 0.96 (P < 0.0001).

Conclusions

The levels of MIAT, H19, and NRON in peripheral blood could be important biomarkers for MS diagnosis.

Temporal changes in extra-axial brain hematoma's signal intensity in magnetic resonance images of trauma patients: A preliminary, technical study

INTRODUCTION

Dating the exact or estimated time of trauma is an important issue facing forensic medicine. Several clinical and radiological methods were used to achieve this purpose. In the recent study, we aimed to track the changes in the signal intensity of the extra-axial brain hematoma using magnetic resonance imaging (MRI) conventional sequences as well as diffusion-weighted imaging (DWI) and the apparent diffusion coefficient (ADC).

MATERIALS AND METHODS

Considering inclusion and exclusion criteria, all patients with blunt head trauma were involved. After proper management., stabilization, and resuscitation, the participants were assessed using conventional sequences of MRI and DWI twenty-four hours, forty-eight hours, and three weeks after the injury. Temporal changes of signal intensity were compared by Wilcoxon ranged test.

RESULTS

Sixteen patients sustaining blunt head trauma were included in this study. The study showed that during the time, diffusion restriction could be seen in an extraaxial hematoma. At the first 24 hours, the signal of hematoma was void in 87.5% of DWI and 100% of ADC. On the second day, they were hypo-signal in 75% of DWI and 100% 0f ADCs, and after three weeks, 100% of cases were hyper-signal in DWI and hypo-signal ADCs.

CONCLUSION

This preliminary study has shown that the DWI can be used to detect and track the extra-axial hematoma. The signal intensity was void during the first twentyfour hours, although it became hypo-signal after 48 hours. Of note, the diffusion restriction is noted after three weeks.

Potential Biomarkers Associated with Multiple Sclerosis Pathology

Multiple sclerosis (MS) is a complex disease of the central nervous system (CNS) that involves an intricate and aberrant interaction of immune cells leading to inflammation, demyelination, and neurodegeneration. Due to the heterogeneity of clinical subtypes, their diagnosis becomes challenging and the best treatment cannot be easily provided to patients. Biomarkers have been used to simplify the diagnosis and prognosis of MS, as well as to evaluate the results of clinical treatments. In recent years, research on biomarkers has advanced rapidly due to their ability to be easily and promptly measured, their specificity, and their reproducibility. Biomarkers are classified into several categories depending on whether they address personal or predictive susceptibility, diagnosis, prognosis, disease activity, or response to treatment in different clinical courses of MS. The identified members indicate a variety of pathological processes of MS, such as neuroaxonal damage, gliosis, demyelination, progression of disability, and remyelination, among others. The present review analyzes biomarkers in cerebrospinal fluid (CSF) and blood serum, the most promising imaging biomarkers used in clinical practice. Furthermore, it aims to shed light on the criteria and challenges that a biomarker must face to be considered as a standard in daily clinical practice.

Multiple sclerosis: prevalence of the 'central vein' sign in white matter lesions on gadolinium-enhanced susceptibility-weighted images

AIMS

To evaluate prospectively whether an intravenous gadolinium injection could improve the detection of the central vein sign on susceptibility-weighted imaging sequences obtained with a 1.5 T magnetic resonance scanner in patients with multiple sclerosis compared to unenhanced susceptibility-weighted images.

MATERIALS AND METHODS

This prospective, institution review board-approved study included 19 patients affected by multiple sclerosis (six men; 13 women; mean age 40.8 years, range 20-74 years). Patients had the relapsing-remitting clinical subtype in 95% of cases, and only one (5%) patient had the primary progressive clinical subtype of multiple sclerosis. T2-weighted images, fluid-attenuated inversion recovery images, unenhanced and contrast-enhanced susceptibility-weighted images were evaluated in consensus by two neuroradiologists for the presence of the central vein sign. The readers were blinded to magnetic resonance imaging reports, clinical information, the presence and the localisation of focal hyperintense white matter lesions. Any discordance between readers was resolved through a joint review of the recorded images with an additional neuroradiologist.

RESULTS

A total of 317 multiple sclerosis lesions were analysed. The central vein sign had a higher prevalence detection rate on gadolinium-enhanced susceptibility-weighted images (272 of 317 lesions, 86%) compared to unenhanced susceptibility-weighted images (172 of 317 lesions, 54%).

CONCLUSION

Gadolinium-enhanced susceptibility-weighted imaging improves the detection rate of the central vein sign in multiple sclerosis lesions.

Serum inflammatory markers in patients with multiple sclerosis and their association with clinical manifestations and MRI findings

Inflammation in a myelinated portion of the nervous system is the mainstay of multiple sclerosis (MS). Elevation of inflammatory markers such as procalcitonin, ESR and hs-CRP is suspected to occur in MS patients. However, their prognostic role and their relationship with the severity of clinical symptoms of MS and MRI evidences has remained unnoticed in the literature. Hence, we aim to evaluate the serum level of inflammatory markers in the acute attack of MS patients and demonstrate the potential prognostic role of these inflammatory markers. This study was carried on case and control groups of definite MS patients. The cases were patients with active MS and were further allocated into four subgroups, while as control group included patients with non-active MS. Furthermore, all the participants underwent brain and cervical magnetic resonance imaging (MRI) using a contrast agent. A significant difference was detected in hs-CRP level (p = 0.009) across the subgroups of the cases. The highest level of hs-CRP was reported in patients with cerebellar and brain stem symptoms (mean = 6998.13 ± 3501.16), while the lowest in patients with pyramidal and urinary incontinence symptoms (mean = 1958.91 ± 2662.16). Moreover, correlation coefficient between values of MRI contrast-enhanced lesions and ESR level was statistically significant (Rs = 0.503 and p = 0.001). Elevation of ESR serum level positively correlates with disease activity evidenced by values of contrast-enhanced plaques of MRI in relapsing-remitting MS patients which may predict the disease activity. In addition, MS relapse with cerebellar and brain stem symptoms is associated with a high concentration of hs-CRP plasma level.