Is myelin basic protein a potential biomarker of brain cancer?

Ultra High-plex Spatial Proteogenomic Investigation of Giant Cell Glioblastoma Multiforme Immune Infiltrates Reveals Distinct Protein and RNA Expression Profiles

A deeper understanding of complex biological processes, including tumor development and immune response, requires ultra high-plex, spatial interrogation of multiple "omes". Here we present the development and implementation of a novel spatial proteogenomic (SPG) assay on the GeoMx Digital Spatial Profiler platform with next-generation sequencing readout that enables ultra high-plex digital quantitation of proteins (>100-plex) and RNA (whole transcriptome, >18,000-plex) from a single formalin-fixed paraffin-embedded (FFPE) sample. This study highlighted the high concordance, R > 0.85 and <15% change in sensitivity between the SPG assay and the single-analyte assays on various cell lines and tissues from human and mouse. Furthermore, we demonstrate that the SPG assay was reproducible across multiple users. When used in conjunction with advanced cellular neighborhood segmentation, distinct immune or tumor RNA and protein targets were spatially resolved within individual cell subpopulations in human colorectal cancer and non-small cell lung cancer. We used the SPG assay to interrogate 23 different glioblastoma multiforme (GBM) samples across four pathologies. The study revealed distinct clustering of both RNA and protein based on pathology and anatomic location. The in-depth investigation of giant cell glioblastoma multiforme (gcGBM) revealed distinct protein and RNA expression profiles compared with that of the more common GBM. More importantly, the use of spatial proteogenomics allowed simultaneous interrogation of critical protein posttranslational modifications alongside whole transcriptomic profiles within the same distinct cellular neighborhoods.

Significance

We describe ultra high-plex spatial proteogenomics; profiling whole transcriptome and high-plex proteomics on a single FFPE tissue section with spatial resolution. Investigation of gcGBM versus GBM revealed distinct protein and RNA expression profiles.

Multiple sclerosis and myelin basic protein: insights into protein disorder and disease

Myelin basic protein (MBP) is an abundant protein in central nervous system (CNS) myelin. MBP has long been studied as a factor in the pathogenesis of the autoimmune neurodegenerative disease multiple sclerosis (MS). MS is characterized by CNS inflammation, demyelination, and axonal loss. One of the main theories on the pathogenesis of MS suggests that exposure to foreign antigens causes the activation of cross-reactive T cells in genetically susceptible individuals, with MBP being a possible autoantigen. While a direct role for MBP as a primary antigen in human MS is unclear, it is clear that MBP and its functions in myelin formation and long-term maintenance are linked to MS. This review looks at some key molecular characteristics of MBP and its relevance to MS, as well as the mechanisms of possible molecular mimicry between MBP and some viral antigens. We also discuss the use of serum anti-myelin antibodies as biomarkers for disease. MBP is a prime example of an apparently simple, but in fact biochemically and structurally complex molecule, which is closely linked to both normal nervous system development and neurodegenerative disease.

Blood-brain barrier dysfunction and myelin basic protein in survival of amyotrophic lateral sclerosis with or without frontotemporal dementia

OBJECTIVE

We aim to investigate blood-brain barrier (BBB) dysfunction and myelin basic protein (MBP) in amyotrophic lateral sclerosis (ALS) with or without frontotemporal dementia (FTD) and further determine the effect of these factors on the survival of ALS.

METHODS

This was a retrospective study of 113 ALS patients, 12 ALS-FTD patients, and 40 disease controls hospitalized between September 2013 and October 2020. CSF parameters including total protein (TP), albumin (Alb), immunoglobulin-G (IgG), and MBP were collected and compared between groups. The CSF-TP, CSF-Alb, CSF-IgG, and CSF/serum quotients of Alb and IgG (Q_Alb, Q_IgG) were used to reflect the BBB status. Patients were followed up until December 2020. Cox regression and Kaplan-Meier method were used for survival analysis.

RESULTS

The CSF-TP, CSF-Alb, and CSF-IgG concentrations were significantly higher in patients than controls (p < 0.01). Increased CSF-TP and CSF-IgG was found in 45 (39.8%) and 27 (23.9%) ALS patients, while in 7 (58.3%) and 5 (41.7%) ALS-FTD patients. The level of CSF-Alb, CSF-IgG, and CSF-MBP were significantly higher in patients with ALS-FTD than ALS. MBP showed a moderate accuracy in the distinction between ALS-FTD and ALS (AUC = 0.715 ± 0.101). No difference in MBP was found between patients and controls. Kaplan-Meier analysis indicated that a higher CSF-TP, CSF-IgG, Q_IgG, or Q_Alb was significantly associated with shorter survival. Cox regression model showed that CSF-TP, CSF-IgG, and Q_IgG were independent predictors of survival.

CONCLUSION

Our findings suggested that BBB dysfunction was more prominent in ALS-FTD than ALS and associated with a worse prognosis. Further studies are needed to determine the role of CSF-MBP as a biomarker in ALS.

Diagnosis of Glioma Molecular Markers by Terahertz Technologies

This review considers glioma molecular markers in brain tissues and body fluids, shows the pathways of their formation, and describes traditional methods of analysis. The most important optical properties of glioma markers in the terahertz (THz) frequency range are also presented. New metamaterial-based technologies for molecular marker detection at THz frequencies are discussed. A variety of machine learning methods, which allow the marker detection sensitivity and differentiation of healthy and tumor tissues to be improved with the aid of THz tools, are considered. The actual results on the application of THz techniques in the intraoperative diagnosis of brain gliomas are shown. THz technologies’ potential in molecular marker detection and defining the boundaries of the glioma’s tissue is discussed.