Integrative and comparative single-cell analysis reveals transcriptomic difference between human tumefactive demyelinating lesion and glioma

Integrating Metabolic RNA Labeling-Based Time-Resolved Single-Cell RNA Sequencing with Spatial Transcriptomics for Spatiotemporal Transcriptomic Analysis

Metabolic RNA labeling-based time-resolved single-cell RNA sequencing (scRNA-seq) has provided unprecedented tools to dissect the temporal dynamics and the complex gene regulatory networks of gene expression. However, this technology fails to reveal the spatial organization of cells in tissues, which also regulates the gene expression by intercellular communication. Herein, it is demonstrated that integrating time-resolved scRNA-seq with spatial transcriptomics is a new paradigm for spatiotemporal analysis. Metabolic RNA labeling-based time-resolved Well-TEMP-seq is first applied to profile the transcriptional dynamics of glioblastoma (GBM) cells and discover two potential pathways of EZH2-mediated mesenchymal transition in GBM. With spatial transcriptomics, it is further revealed that the crosstalk between CCL2+ malignant cells and IL10+ tumor-associated macrophages in the tumor microenvironment through an EZH2-FOSL2-CCL2 axis contributes to the mesenchymal transition in GBM. These discoveries show the power of integrative spatiotemporal scRNA-seq to elucidate the complex gene regulatory mechanism and advance the understanding of cellular processes in disease.

Targeted proteomics of cerebrospinal fluid in treatment naïve multiple sclerosis patients identifies immune biomarkers of clinical phenotypes

Multiple sclerosis (MS) is an inflammatory demyelinating disease with heterogeneous clinical presentations and variable long-term disability accumulation. There are currently no standard criteria to accurately predict disease outcomes. In this study we investigated the cross-sectional relationship between disease phenotype and immune-modulating cytokines and chemokines in cerebrospinal fluid (CSF). We analyzed CSF from 20 DMT-naïve MS patients using Olink Proteomics' Target 96 Inflammation panel and correlated the resulting analytes with respect to (1) disease subtype, (2) patient age and sex, (3) extent of clinical disability, and (4) MRI segmental brain volumes. We found that intrathecal IL-4 correlated with higher Expanded Disability Status Scale (EDSS) scores and longer 25-foot walk times, and CD8A correlated with decreased thalamic volumes and longer 9-hole peg test times. Male sex was associated with higher FGF-19 expression, and Tumefactive MS with elevated CCL4. Several inflammatory markers were correlated with older age at the time of LP. Finally, higher intrathecal IL-33 correlated with increased MS lesion burden and multi-compartment brain atrophy. This study confirms immune heterogeneity underlying CSF profiles in MS, but also identifies several inflammatory protein biomarkers that may be of use for predicting clinical outcomes in future algorithms.

Acute Hemorrhagic Leukoencephalitis in a Patient With Hepatitis B

Acute hemorrhagic leukoencephalitis (AHLE), also known as Weston-Hurst syndrome or Hurst disease, is a rare and rapidly progressive form of acute disseminated encephalomyelitis. It is characterized by severe inflammation, hemorrhage, and necrosis within the white matter of the brain. AHLE often follows an upper respiratory infection or other systemic illnesses, suggesting a potential post-infectious autoimmune mechanism. The disease is associated with a high mortality rate and significant disability among survivors. We present the case of a 46-year-old Indian woman with a history of chronic hepatitis B (HBV) who presented with an insidious onset of right-sided limb weakness and bi-frontal headaches. Initial brain MRIs showed features of tumefactive demyelination. Despite aggressive treatment with intravenous (IV) methylprednisolone, IV immunoglobulin, and anti-edema measures, the patient's condition rapidly deteriorated, leading to a diagnosis of AHLE following the emergence of hemorrhagic white matter lesions on repeat MRI. Remarkably, with continued treatment, the patient survived and showed gradual neurological improvement, although she remained significantly debilitated at the time of discharge. AHLE represents one of the most severe forms of demyelinating diseases, often resulting in rapid neurological decline and high mortality. This case highlights the potential link between chronic HBV infection with a high viral load and the onset of AHLE. The patient's recovery underscores the importance of early recognition and aggressive treatment in improving outcomes, even in conditions with traditionally poor prognosis. Clinicians should maintain a high index of suspicion for AHLE in patients with chronic viral infections presenting with neurological symptoms. Prompt and aggressive management can be life-saving, and ongoing research is needed to better understand the pathogenesis and optimal treatment strategies for this rare but devastating condition.

Concurrent glioma and multiple sclerosis: A systematic review of case reports

BACKGROUND

It is uncommon for individuals with demyelinating disease, notably multiple sclerosis (MS), to be diagnosed with intracranial gliomas. It has been debated whether or not the concurrence of these two disorders is accidental. Clinically, it may be challenging to diagnose someone who has MS and an intracranial tumor simultaneously. We conducted this systematic review to evaluate the glioma patients following MS.

METHODS

We collected 63 studies from 1672 databases from January 1990 to February 2023, and our inclusion criteria involved peer-reviewed case reports/series studies reporting concurrent MS and glioma in patients, considering various types of gliomas.

RESULTS

We included 145 cases, 51% were women and 49 % were men, with an average age of 47.4 years. Common symptoms of glioma at admission included seizures (31.2 %), hemiparesis (15.6 %), and headache (14.3 %). 75 % of patients had primarily with relapsing-remitting MS (RRMS). MS treatments included interferon(IFN)-ß (44.6 %), glatiramer acetate (GA) (21.4 %), fingolimod (19.6 %), and natalizumab (19.6 %). The average time between MS and glioma diagnosis was 12.1 years, with various timeframes. Among the 59 reported cases, 45.8 % led to patient fatalities, while the remaining 54.2 % managed to survive.

CONCLUSION

This co-occurrence, though rare, suggests potential underlying shared mechanisms or vulnerabilities, possibly at a genetic or environmental level. An interdisciplinary approach, combining the expertise of neurologists, oncologists, radiologists, and pathologists, is vital to ensure accurate diagnosis and optimal management of affected individuals. Nonetheless, there is still a significant lack of information regarding this phenomenon, necessitating large-scale population-based studies and experimental research.

Integrating bulk and single-cell RNA sequencing data reveals epithelial-mesenchymal transition molecular subtype and signature to predict prognosis, immunotherapy efficacy, and drug candidates in low-grade gliomas

Objective: Epithelial-mesenchymal transition (EMT) is a tightly regulated and dynamic process occurring in both embryonic development and tumor progression. Our study aimed to comprehensively explore the molecular subtypes, immune landscape, and prognostic signature based on EMT-related genes in low-grade gliomas (LGG) in order to facilitate treatment decision-making and drug discovery. Methods: We curated EMT-related genes and performed molecular subtyping with consensus clustering algorithm to determine EMT expression patterns in LGG. The infiltration level of diverse immune cell subsets was evaluated by implementing the single-sample gene set enrichment analysis (ssGSEA) and ESTIMATE algorithms. The distinctions in clinical characteristics, mutation landscape, and immune tumor microenvironment (TME) among the subtypes were subjected to further investigation. Gene Set Variation Analysis (GSVA) was performed to explore the biological pathways that were involved in subtypes. The chemo drug sensitivity and immunotherapy of subtypes were estimated through GDSC database and NTP algorithm. To detect EMT subtype-related prognostic gene modules, the analysis of weighted gene co-expression network (WGCNA) was performed. The LASSO algorithm was utilized to construct a prognostic risk model, and its efficacy was verified through an independent CGGA dataset. Finally, the expression of the hub genes from the prognostic model was evaluated through the single-cell dataset and in-vitro experiment. Results: The TCGA-LGG dataset revealed the creation of two molecular subtypes that presented different prognoses, clinical implications, TME, mutation landscapes, chemotherapy, and immunotherapy. A three-gene signature (SLC39A1, CTSA and CLIC1) based on EMT expression pattern were established through WGCNA analysis. Low-risk patients showed a positive outlook, increased immune cell presence, and higher expression of immune checkpoint proteins. In addition, several promising drugs, including birinapant, fluvastatin, clofarabine, dasatinib, tanespimycin, TAK-733, GDC-0152, AZD8330, trametinib and ingenol-mebutate had great potential to the treatment of high risk patients. Finally, CTSA and CLIC1 were highly expressed in monocyte cell through single-cell RNA sequencing analysis. Conclusion: Our research revealed non-negligible role of EMT in the TME diversity and complexity of LGG. A prognostic signature may contribute to the personalized treatment and prognostic determination.

Phenotyping variants of tumefactive demyelinating lesions according to clinical and radiological features-A case series

Background

Tumefactive demyelinating lesions (TDLs) are defined as lesions >2 cm on MRI of the brain. They are identified in a range of demyelinating diseases including massive demyelination due to Marburg's acute MS, Schilder's Disease, Balo's concentric sclerosis, and Tumefactive MS. Apart from the rare demyelinating variants which are often diagnosed histologically, there are no detailed data to phenotype TDLs.

Methods

We describe the clinical and radiological features of four similar patients with very large TDLs (>4 cm), that are not consistent with the rare demyelinating variants and may represent a distinct phenotype.

Results

All patients presented with hemiplegia and apraxia. The mean age at onset was 37 years with an equal sex distribution. All patients were diagnosed with Tumefactive demyelination based on MRI and CSF analysis, precluding the need for brain biopsy. All responded to potent immunotherapy (including high dose corticosteroids, plasma exchange, rituximab, and/or cyclophosphamide). The mean lag from diagnosis to treatment was 1 day. The median EDSS at presentation was six and recovery to a median EDSS of two occurred over 6 months.

Conclusion

We propose that Tumefactive lesions larger than 4 cm are termed "Giant demyelinating lesions" (GDLs) not only on the basis of size, but a rapid and fulminant demyelinating presentation leading to acute, severe neurological disability that is, nonetheless, responsive to immunotherapy. Further clinical studies are required to ratify this proposed phenotype, establish the immunological profile and best treatment for such patients.