The central nervous system (CNS) comprises a diverse range of brain cell types with distinct functions and gene expression profiles. Although single-cell RNA sequencing (scRNA-seq) provides new insights into the brain cell atlases, integrating large-scale CNS scRNA-seq data still encounters challenges due to the complexity and heterogeneity among CNS cell types/subtypes. In this study, we introduce a self-supervised contrastive learning method, called scCM, for integrating large-scale CNS scRNA-seq data. scCM brings functionally related cells close together while simultaneously pushing apart dissimilar cells by comparing the variations of gene expression, effectively revealing the heterogeneous relationships within the CNS cell types/subtypes. The effectiveness of scCM is evaluated on 20 CNS datasets covering 4 species and 10 CNS diseases. Leveraging these strengths, we successfully integrate the collected human CNS datasets into a large-scale reference to annotate cell types and subtypes in neural tissues. Results demonstrate that scCM provides an accurate annotation, along with rich spatial information of cell state. In summary, scCM is a robust and promising method for integrating large-scale CNS scRNA-seq data, enabling researchers to gain insights into the cellular and molecular mechanisms underlying CNS functions and diseases.

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BACKGROUND: Patients with genetic deficiency of the adaptor protein complex 4 (AP-4) exhibit earlyonset developmental delay, spastic diplegia, intellectual disability, speech impairment. The phenotype overlaps with other hereditary spastic paraplegias and cerebral palsies. Febrile seizures are common at onset. Epilepsy has been described in more than half of cases, arising in early infancy often with status epilepticus, but no typical seizure semiology or electroencephalographic features have been identified thus far.
OBJECTIVE: We aimed to specifically investigate the epileptological characteristics of the syndrome to unveil possible biomarkers of seizure development and prognosis in AP-4 deficiency.
METHODS: Observational cohort study on patients with bi-allelic pathogenic variants in AP-4 subunits and epilepsy. We focused on the seizure semiology, electroencephalographic characteristics and response to antiseizure medications.
RESULTS: Patients harboured pathogenic variants in AP4S1 (n = 5) or AP4M1 (n = 1). The phenotype included spastic paraparesis, intellectual disability, speech/language impairment, microcephaly, and MRI evidence of hypoplasia of the corpus callosum. In 66 % of the patients, febrile seizures preceded the onset of epilepsy, which spanned from infancy to adolescence (range=14 months-13 years). Absences (66 %) and focal motor seizures (50 %) were common. No patient met the criteria for drug-resistance. Peculiar electroencephalographic features arose after the epilepsy onset and persisted at long-term follow-up: bilateral and asynchronous focal discharges combined with independent diffuse spike-wave-discharges (100 %) and reflex abnormalities (66 %).
CONCLUSIONS: In AP-4 complex disease, epilepsy could arise beyond early infancy, until adolescence, with variable combination of generalized and focal seizures. The prognosis was favourable. We observed a common electroencephalographic signature - combined focal/generalized and reflex abnormalities - which may constitute a biomarker of AP-4 deficiency with epilepsy, applicable to inform genetic testing and disentangle the differential diagnosis.

Microglia, immune sentinels of the central nervous system (CNS), play a critical role in maintaining its health and integrity. This chapter delves into the concept of immunometabolism, exploring how microglial metabolism shapes their diverse immune functions. It examines the impact of cell metabolism on microglia during various CNS states, including homeostasis, development, aging, and inflammation. Particularly in CNS inflammation, the chapter discusses how metabolic rewiring in microglia can initiate, resolve, or perpetuate inflammatory responses. The potential of targeting microglial metabolism as a therapeutic strategy for chronic CNS disorders with prominent innate immune cell activation is also explored.

In the post-COVID-19 era, treatment options for potential SARS-CoV-2 outbreaks remain limited. An increased incidence of central nervous system (CNS) disorders has been observed in long-term COVID-19 patients. Understanding the shared molecular mechanisms between these conditions may provide new insights for developing effective therapies. This study developed an integrative drug-repurposing framework for COVID-19, leveraging comorbidity data with CNS disorders, network-based modular analysis, and dynamic perturbation analysis to identify potential drug targets and candidates against SARS-CoV-2. We constructed a comorbidity network based on the literature and data collection, including COVID-19-related proteins and genes associated with Alzheimer\'s disease, Parkinson\'s disease, multiple sclerosis, and autism spectrum disorder. Functional module detection and annotation identified a module primarily involved in protein synthesis as a key target module, utilizing connectivity map drug perturbation data. Through the construction of a weighted drug-target network and dynamic network-based drug-repurposing analysis, ubiquitin-carboxy-terminal hydrolase L1 emerged as a potential drug target. Molecular dynamics simulations suggested pregnenolone and BRD-K87426499 as two drug candidates for COVID-19. This study introduces a dynamic-perturbation-network-based drug-repurposing approach to identify COVID-19 drug targets and candidates by incorporating the comorbidity conditions of CNS disorders.

BACKGROUND: Neurosarcoidosis is a rare entity, usually within the context of systematic sarcoidosis. Isolated neurosarcoidosis and especially a manifestation with pachymeningitis is a notable rarity.
METHODS: A 26-year-old patient presented to the emergency department with acute onset, recurrent episodes of occipital headaches spreading over the whole cranium and vomiting without food consumption, for three days. The clinical examination did not reveal any neurological deficits. The laboratory exams showed no pathological findings. A CT examination with angiography did not detect any acute intracranial or vessel pathology. A lumbar puncture was performed to rule out subarachnoid hemorrhage. The results showed a lymphocytic pleocytosis of 400/µL, elevated protein levels of 1077 mg/dL and reduced glucose levels (CSF: 55 mg/dL, Serum: 118 mg/dL). Extensive infectiological examinations did not reveal any signs of infection, including Borrelia spp. and M. tuberculosis. No positive auto-antibodies or vasculitis-related auto-antibodies were detected. The CSF analysis showed negative oligoclonal bands but an isolated increase in β2-microglobulin, neopterin, and IL-2R levels. The MRI examination revealed a dural gadolinium-enhancement, pronounced in the basal cerebral structures and the upper segment of the cervical spine, consistent with neurosarcoidosis. Corticosteroid treatment rapidly led to a significant improvement of the symptoms. No systemic manifestations of sarcoidosis were found.
CONCLUSIONS: This case report aims to highlight aseptic meningitis with atypical, acute onset headache attacks as a possible manifestation of isolated neurosarcoidosis. Neurosarcoidosis is a clinical entity that requires prompt treatment to avoid permanent neurological deficits.

This Special Issue of Cells presents a collection of 22 published, peer-reviewed articles on the theme of \"Astrocytes in CNS Disorders,\" including 9 reviews of the evidence implicating astrocytes in the etiology of specific disorders, and 13 original research papers providing such evidence [...].

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As advances in RNA modification research progress, the significance of 5-methylcytosine (m5C) modification is being increasingly acknowledged. m5C undergoes modification by the methyltransferase NOP2/Sun domain (NSUN) family/DNA methyltransferase (DNMT) family (writer) and is removed by demethylases (eraser), including the ten-eleven translocation (TET) family and Alkb homolog 1 (ALKBH1). Moreover, m5C interacts with RNA-binding proteins (reader), such as Y-box-binding protein 1 (YBX1) and Aly/REF export factor (ALYREF). Expanding on this structural framework, m5C modification possesses the capacity to regulate various physiological and pathological processes. Recent studies indicate that m5C plays a pivotal regulatory role in the central nervous system, and its dysregulation may correlate with the onset and progression of various central nervous system diseases. In this review, we summarize recent research on m5C components and delve into the potential mechanisms of m5C involvement in central nervous system disorders, such as Alzheimer\'s disease, brain tumors, epilepsy, and stroke.

The underlying mechanisms of diseases affecting the central nervous system (CNS) remain unclear, limiting the development of effective therapeutic strategies. Remarkably, cellular senescence, a biological phenomenon observed in cultured fibroblasts in vitro, is a crucial intrinsic mechanism that influences homeostasis of the brain microenvironment and contributes to the onset and progression of CNS diseases. Cellular senescence has been observed in disease models established in vitro and in vivo and in bodily fluids or tissue components from patients with CNS diseases. These findings highlight cellular senescence as a promising target for preventing and treating CNS diseases. Consequently, emerging novel therapies targeting senescent cells have exhibited promising therapeutic effects in preclinical and clinical studies on aging-related diseases. These innovative therapies can potentially delay brain cell loss and functional changes, improve the prognosis of CNS diseases, and provide alternative treatments for patients. In this study, we examined the relevant advancements in this field, particularly focusing on the targeting of senescent cells in the brain for the treatment of chronic neurodegenerative diseases (e.g., Alzheimer\'s disease, Parkinson\'s disease, and multiple sclerosis) and acute neurotraumatic insults (e.g., ischemic stroke, spinal cord injury, and traumatic brain injury).