Potential Biomarkers Associated with Multiple Sclerosis Pathology

Pulp Sensitivity Testing in Multiple Sclerosis: Disease Duration and Sensory/Motor Associations-A Cross-Sectional Study

Introduction: This study explores a relatively unexplored aspect of multiple sclerosis (MS) by examining the sensitivity threshold of dental pulp as a potential indicator of neuropathy in MS patients. Building upon earlier research that focused on assessing the response to electrical pulp testing in MS patients who did not have a history of trigeminal neuralgia, this survey is aimed at delving into the relationship between MS duration and the threshold for stimulation in response to pulp sensitivity tests. Materials and Methods: This study encompassed a total of 124 maxillary central incisors from patients diagnosed with relapsing-remitting multiple sclerosis (RRMS). The participants were uniform in terms of age, falling within the 18-50 years range, and all had RRMS with no history of trigeminal neuralgia. The electric pulp sensitivity test was conducted on all samples, and the results of the electric pulp testing (EPT) were recorded according to the grade of the pulp tester that elicited a response. The threshold was considered reached when the patient first experienced a burning sensation after EPT application and the use of 1,1,1,2-tetrafluoroethane spray. Data analysis employed paired t-tests, Fisher's exact test, and Spearman correlation, with a significance level set at p < 0.05. Results: Based on the study's findings, the average response value to EPT was 2.69 ± 1.17, while the response time to the cold test was 2.61 ± 1.03 s. There was no statistically significant difference in the response to the cold test based on age (p = 0.45). However, it was observed that the mean response time to the cold test was significantly longer among male participants (p = 0.001). No significant differences were identified in the pulpal response to EPT or the cold test between patients with and without sensory-motor involvement (p > 0.05). Furthermore, Spearman's analysis revealed a noteworthy positive correlation between the electrical pulp threshold and the time taken to respond to the cold test (p = 0.025, r = 0.2). Conclusions: The utilization of the pulpal sensitivity test in MS patients holds promise for practical clinical use. Notably, individuals with a more extended duration of the disease exhibited a notably elevated threshold for both the EPT and the cold test conducted on their maxillary central incisors.

Evaluating the Serum Level of ACTH and Investigating the Expression of miR-26a, miR-34a, miR-155-5p, and miR-146a in the Peripheral Blood Cells of Multiple Sclerosis Patients

Multiple sclerosis (MS) is an inflammatory and neurodegenerative disorder affecting white and gray matter. This study aimed to investigate the association between clinical outcomes in MS patients and the levels of certain molecules in their serum, including ACTH, IL-17, and specific miRNAs: miR-26a, miR-34a, miR-155-5p, and miR-146a. Fifty healthy people and 75 blood samples from MS patients were selected. MS patients had higher expression levels of IL-17, miR-26a, miR-34a, and miR-146a compared to healthy individuals (p < 0.0001). There was no significant difference in miR-155-5p expression between the two groups (p = 0.203). MS patients also had higher serum levels of ACTH compared to the normal population (p < 0.0001). In MS patients, there was a negative correlation between IL-17 and miR-155-5p expression levels (p = 0.048, r =  - 0.229). Similarly, a significant negative correlation was observed between ACTH and miR-155-5p in the control group (p = 0.044, r =  - 0.286). The study's analysis revealed no significant difference in the expression of miR-155-5p between MS patients and normal individuals; the study's examination revealed that the expression level of IL-17, miR-26a, miR-34a, and miR-146a was higher in MS patients than in normal individuals.

Microglia-derived extracellular vesicles in homeostasis and demyelination/remyelination processes

Microglia (MG) play a crucial role as the predominant myeloid cells in the central nervous system and are commonly activated in multiple sclerosis. They perform essential functions under normal conditions, such as actively surveying the surrounding parenchyma, facilitating synaptic remodeling, engulfing dead cells and debris, and protecting the brain against infectious pathogens and harmful self-proteins. Extracellular vesicles (EVs) are diverse structures enclosed by a lipid bilayer that originate from intracellular endocytic trafficking or the plasma membrane. They are released by cells into the extracellular space and can be found in various bodily fluids. EVs have recently emerged as a communication mechanism between cells, enabling the transfer of functional proteins, lipids, different RNA species, and even fragments of DNA from donor cells. MG act as both source and recipient of EVs. Consequently, MG-derived EVs are involved in regulating synapse development and maintaining homeostasis. These EVs also directly influence astrocytes, significantly increasing the release of inflammatory cytokines like IL-1β, IL-6, and TNF-α, resulting in a robust inflammatory response. Furthermore, EVs derived from inflammatory MG have been found to inhibit remyelination, whereas Evs produced by pro-regenerative MG effectively promote myelin repair. This review aims to provide an overview of the current understanding of MG-derived Evs, their impact on neighboring cells, and the cellular microenvironment in normal conditions and pathological states, specifically focusing on demyelination and remyelination processes.

The Comparison of the Selected Parameters of Brain Injury and Interleukins in the CSF in Patients Diagnosed De Novo with RRMS Compared to the Control Group

BACKGROUND

Multiple sclerosis (MS) is a chronic autoimmune disorder affecting the central nervous system (CNS). Due to the different phenotypes of the disease and non-specific symptoms of MS, there is a great need for a validated panel of biomarkers to facilitate the diagnosis, predict disease progression, and evaluate treatment outcomes.

METHODS

We determined the levels of the parameters of brain injury (NF-H, GPAF, S100B, and UCHL1) and the selected cytokines in the cerebrospinal fluid (CSF) in 101 patients diagnosed de novo with RRMS and 75 healthy controls. All determinations were made using the Bio-Plex method.

RESULTS

We found higher levels of NF-H and GFAP in the relapsing-remitting multiple sclerosis (RRMS) group compared to the controls. The concentrations of both molecules were significantly increased in patients with Gd+ lesions on brain MRI. The level of S100B did not differ significantly between the groups. UCHL1 concentrations were higher in the control group. We found some correlations between the selected cytokines, the levels of the parameters of brain injury, and the time from the first symptoms to the diagnosis of MS.

CONCLUSIONS

The role of the above molecules in MS is promising. However, further research is warranted to define their precise functions.

Oligodendrocyte pathology in Huntington's disease: from mechanisms to therapeutics

Oligodendrocytes (OLGs), highly specialized glial cells that wrap axons with myelin sheaths, are critical for brain development and function. There is new recognition of the role of OLGs in the pathogenesis of neurodegenerative diseases (NDDs), including Huntington's disease (HD), a prototypic NDD caused by a polyglutamine tract expansion in huntingtin (HTT), which results in gain- and loss-of-function effects. Clinically, HD is characterized by a constellation of motor, cognitive, and psychiatric disturbances. White matter (WM) structures, representing myelin-rich regions of the brain, are profoundly affected in HD, and recent findings reveal oligodendroglia dysfunction as an early pathological event. Here, we focus on mechanisms that underlie oligodendroglial deficits and dysmyelination in the progression of the disease, highlighting the pathogenic contributions of mutant HTT (mHTT). We also discuss potential therapeutic implications involving these molecular pathways.

Efficacy and mechanism of Wuzi Yanzong pill on the prevention and treatment of EAE

Objective

Studies have shown that Wuzi Yanzong Pill (WYP) can be used to treat neurological diseases, but its mechanisms for multiple sclerosis (MS) remain unclear. This study aims to determine the effect of WYP on MS in an animal model of experimental autoimmune encephalomyelitis (EAE), and explore its mechanism. To provide theoretical basis for the clinical treatment of MS with WYP.

Methods

C57BL/6 female mice were randomly divided into Blank control, EAE control, low dose WYP, medium dose WYP, and high dose WYP groups. One week before model generation, the mice were gavaged with saline (50 mL/kg/d) in Blank control and EAE control groups. The treatment groups was gavaged with different doses of WYP solution (4, 8, or 16 g/kg/d respectively) Clinical scores were recorded daily. Sample collection was conducted on the 14th and 28th days, respectively The expressions of IL-10, IL-17, IL-12, TNF-α and IFN-γ in spleen were detected by ELISA. The expressions of ROCKII, P-MYPT1, TLR4, NF-κB/p65, MCP-1, CCR2 in spleen, brain and spinal cord were detected by Western Blot. The types of macrophages and the contents of intracellular IL-10 and IL-12 were detected by Flow Cytometry. The contents of TNF-α and TLR4 mRNA in the spleen were detected by RT-PCR.

Results

WYP treatment improved the clinical score of EAE mice in a significant dose-dependent manner, with the WYP high-dose group showed the most significant improvement in clinical score. Compared with the EAE control group, WYP high dose group had significantly lower levels of IL-17, IFN-γ, ROCKII, P-MYPT1, TLR4, NF-κB/p65, MCP-1, and CCR2 as well as TNF-α and TLR4 mRNA, but increased the number of M2 macrophages and IL-10.

Conclusion

WYP treatment relieves clinical symptoms in EAE mice, which may be related to regulate inflammatory pathway and inhibiting expressions of inflammatory cytokines.

Cellular and Molecular Evidence of Multiple Sclerosis Diagnosis and Treatment Challenges

Multiple sclerosis (MS) is a chronic autoimmune disease that impacts the central nervous system and can result in disability. Although the prevalence of MS has increased in India, diagnosis and treatment continue to be difficult due to several factors. The present study examines the difficulties in detecting and treating multiple sclerosis in India. A lack of MS knowledge among healthcare professionals and the general public, which delays diagnosis and treatment, is one of the significant issues. Inadequate numbers of neurologists and professionals with knowledge of MS management also exacerbate the situation. In addition, MS medications are expensive and not covered by insurance, making them inaccessible to most patients. Due to the absence of established treatment protocols and standards for MS care, India's treatment techniques vary. In addition, India's population diversity poses unique challenges regarding genetic variations, cellular and molecular abnormalities, and the potential for differing treatment responses. MS is more difficult to accurately diagnose and monitor due to a lack of specialized medical supplies and diagnostic instruments. Improved awareness and education among healthcare professionals and the general public, as well as the development of standardized treatment regimens and increased investment in MS research and infrastructure, are required to address these issues. By addressing these issues, it is anticipated that MS diagnosis and treatment in India will improve, leading to better outcomes for those affected by this chronic condition.

Identification of Key Ferroptosis-Related Genes in the Peripheral Blood of Patients with Relapsing-Remitting Multiple Sclerosis and Its Diagnostic Value

Multiple sclerosis (MS) is a neurodegenerative disease with a complex pathogenesis. Re-lapsing-remitting multiple sclerosis (RRMS) is the most common subset of MS, accounting for approximately 85% of cases. Recent studies have shown that ferroptosis may contribute to the progression of RRMS, but the underlying mechanism remains to be elucidated. Herein, this study intended to explore the molecular network of ferroptosis associated with RRMS and establish a predictive model for efficacy diagnosis. Firstly, RRMS-related module genes were identified using weighted gene co-expression network analysis (WGCNA). Secondly, the optimal machine learning model was selected from four options: the generalized linear model (GLM), random forest model (RF), support vector machine model (SVM), and extreme gradient boosting model (XGB). Subsequently, the predictive efficacy of the diagnostic model was evaluated using receiver operator characteristic (ROC) analysis. Finally, a SVM diagnostic model based on five genes (JUN, TXNIP, NCOA4, EIF2AK4, PIK3CA) was established, and it demonstrated good predictive performance in the validation dataset. In summary, our study provides a systematic exploration of the complex relationship between ferroptosis and RRMS, which may contribute to a better understanding of the role of ferroptosis in the pathogenesis of RRMS and provide promising diagnostic strategies for RRMS patients.

CSF β-amyloid is not a prognostic marker in multiple sclerosis patients

BACKGROUND

Multiple sclerosis (MS) is the most common chronic inflammatory, demyelinating disorder. Given its variable prognosis, the identification of new prognostic biomarkers is needed.

OBJECTIVES

The aims of our study were to assess the prognostic values of CSF β-amyloid-42 (Aβ42) and β-amyloid-40 (Aβ40) levels in MS patients.

METHODS

Eighty-nine (55 RRMS, 34 PPMS) patients with a recent diagnosis and 27 controls were included in this single-centre retrospective study. Clinical, MRI and CSF data have been collected and were analysed to evaluate the potential value of CSF Aβ42 and Aβ40 levels as MS biomarkers.

RESULTS

CSF Aβ levels as well as Aβ42/Aβ40 ratio were identical in MS patients and controls. Although CSF Aβ42 and Aβ40 levels were higher in PPMS than in RRMS and in patients with higher EDSS, a multivariate analysis including age and EDSS demonstrated that only age of patients was associated with CSF amyloid levels. Additionally, 55 RRMS patients were followed for 3 years. We found no association between baseline amyloid levels and 3-year disability.

CONCLUSION

Our data do not support an association between CSF amyloid levels and MS status and disease severity. We suggest that CSF amyloid levels are not a prognostic biomarker in recently diagnosed RRMS.

Autoantibodies - enemies, and/or potential allies?

Autoantibodies are well known as potentially highly harmful antibodies which attack the host via binding to self-antigens, thus causing severe associated diseases and symptoms (e.g. autoimmune diseases). However, detection of autoantibodies to a range of disease-associated antigens has enabled their successful usage as important tools in disease diagnosis, prognosis and treatment. There are several advantages of using such autoantibodies. These include the capacity to measure their presence very early in disease development, their stability, which is often much better than their related antigen, and the capacity to use an array of such autoantibodies for enhanced diagnostics and to better predict prognosis. They may also possess capacity for utilization in therapy, in vivo. In this review both the positive and negative aspects of autoantibodies are critically assessed, including their role in autoimmune diseases, cancers and the global pandemic caused by COVID-19. Important issues related to their detection are also highlighted.

A Scoping Review on Body Fluid Biomarkers for Prognosis and Disease Activity in Patients with Multiple Sclerosis

Multiple sclerosis (MS) is a complex demyelinating disease of the central nervous system, presenting with different clinical forms, including clinically isolated syndrome (CIS), which is a first clinical episode suggestive of demyelination. Several molecules have been proposed as prognostic biomarkers in MS. We aimed to perform a scoping review of the potential use of prognostic biomarkers in MS clinical practice. We searched MEDLINE up to 25 November 2021 for review articles assessing body fluid biomarkers for prognostic purposes, including any type of biomarkers, cell types and tissues. Original articles were obtained to confirm and detail the data reported by the review authors. We evaluated the reliability of the biomarkers based on the sample size used by various studies. Fifty-two review articles were included. We identified 110 molecules proposed as prognostic biomarkers. Only six studies had an adequate sample size to explore the risk of conversion from CIS to MS. These confirm the role of oligoclonal bands, immunoglobulin free light chain and chitinase CHI3L1 in CSF and of serum vitamin D in the prediction of conversion from CIS to clinically definite MS. Other prognostic markers are not yet explored in adequately powered samples. Serum and CSF levels of neurofilaments represent a promising biomarker.

Molecular Mechanisms of Neuroinflammation in ME/CFS and Long COVID to Sustain Disease and Promote Relapses

Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a disease now well-documented as having arisen commonly from a viral infection, but also from other external stressors, like exposure to agricultural chemicals, other types of infection, surgery, or other severe stress events. Research has shown these events produce a systemic molecular inflammatory response and chronic immune activation and dysregulation. What has been more difficult to establish is the hierarchy of the physiological responses that give rise to the myriad of symptoms that ME/CFS patients experience, and why they do not resolve and are generally life-long. The severity of the symptoms frequently fluctuates through relapse recovery periods, with brain-centered symptoms of neuroinflammation, loss of homeostatic control, "brain fog" affecting cognitive ability, lack of refreshing sleep, and poor response to even small stresses. How these brain effects develop with ME/CFS from the initiating external effector, whether virus or other cause, is poorly understood and that is what our paper aims to address. We propose the hypothesis that following the initial stressor event, the subsequent systemic pathology moves to the brain via neurovascular pathways or through a dysfunctional blood-brain barrier (BBB), resulting in chronic neuroinflammation and leading to a sustained illness with chronic relapse recovery cycles. Signaling through recognized pathways from the brain back to body physiology is likely part of the process by which the illness cycle in the peripheral system is sustained and why healing does not occur. By contrast, Long COVID (Post-COVID-19 condition) is a very recent ME/CFS-like illness arising from the single pandemic virus, SARS-CoV-2. We believe the ME/CFS-like ongoing effects of Long COVID are arising by very similar mechanisms involving neuroinflammation, but likely with some unique signaling, resulting from the pathology of the initial SARS-CoV-2 infection. The fact that there are very similar symptoms in both ongoing diseases, despite the diversity in the nature of the initial stressors, supports the concept of a similar dysfunctional CNS component common to both.

Sensitive and convenient detection of miRNA-145 using a gold nanoparticle-HCR coupled system: computational and in vitro validations

Multiple sclerosis (MS) remains a challenging disease that requires timely diagnosis. Therefore, an ultrasensitive optical biosensor based on hybridization chain reaction (HCR) was developed to detect microRNA-145 (miRNA-145) as an MS biomarker. To construct such a sensor, HCR occurred between specific hairpin probes, as MB1 contains a poly-cytosine nucleotide loop and MB2 has a poly-guanine nucleotide sticky end. By introducing miR-145 as a target sequence, long-range dsDNA polymers are formed. Then, positively charged gold nanoparticles (AuNPs) were incubated with the HCR product, which adsorbed onto the dsDNA polymers due to electrostatic adsorption. This resulted in the precipitation of the AuNPs. By incubating different concentrations of miR-145 with AuNPs, the changes in the UV-vis spectrum of the supernatant were analyzed. The proposed biosensor showed a great ability to detect miR-145 in a wide linear range from 1 pM-1 nM with an excellent detection limit (LOD) of 0.519 nM. Furthermore, the developed biosensor indicated considerable selectivity in discriminating between miR-145 and mismatched sequences. It shows high selectivity in differentiating targets. Interestingly, the proposed method was also able to detect miRNA-145 in the diluted serum samples. In conclusion, this sensing platform exhibits high selectivity and specificity for the detection of circulating microRNAs, which holds great promise for translation to routine clinical applications.

Serum-Based Biomarkers in Neurodegeneration and Multiple Sclerosis

Multiple Sclerosis (MS) is a debilitating disease with typical onset between 20 and 40 years of age, so the disability associated with this disease, unfortunately, occurs in the prime of life. At a very early stage of MS, the relapsing-remitting mobility impairment occurs in parallel with a progressive decline in cognition, which is subclinical. This stage of the disease is considered the beginning of progressive MS. Understanding where a patient is along such a subclinical phase could be critical for therapeutic efficacy and enrollment in clinical trials to test drugs targeted at neurodegeneration. Since the disease course is uneven among patients, biomarkers are needed to provide insights into pathogenesis, diagnosis, and prognosis of events that affect neurons during this subclinical phase that shapes neurodegeneration and disability. Thus, subclinical cognitive decline must be better understood. One approach to this problem is to follow known biomarkers of neurodegeneration over time. These biomarkers include Neurofilament, Tau and phosphotau protein, amyloid-peptide-β, Brl2 and Brl2-23, N-Acetylaspartate, and 14-3-3 family proteins. A composite set of these serum-based biomarkers of neurodegeneration might provide a distinct signature in early vs. late subclinical cognitive decline, thus offering additional diagnostic criteria for progressive neurodegeneration and response to treatment. Studies on serum-based biomarkers are described together with selective studies on CSF-based biomarkers and MRI-based biomarkers.