Exploring the role of eosinophil cationic protein (ECP) in schizophrenia: Insights and implications.
Emmanuel Ifeanyi ObeaguPublished in: Medicine (2024)
Schizophrenia, a multifaceted neuropsychiatric disorder characterized by disruptions in perception, cognition, and behavior, has been associated with neuroinflammatory processes. Emerging research has increasingly recognized the potential involvement of immune-related factors in the pathogenesis of schizophrenia, prompting investigations into biomarkers associated with inflammatory cascades. Among these biomarkers, Eosinophil Cationic Protein (ECP), traditionally known for its role in eosinophil-mediated immune responses, has garnered attention for its putative association with neuroinflammation in schizophrenia. This paper critically examines the current understanding of the role of ECP in schizophrenia. ECP, a cytotoxic protein released by eosinophils, has diverse immunomodulatory effects and has been identified in altered concentrations in individuals with schizophrenia. Studies have reported elevated levels of ECP in peripheral fluids of schizophrenia patients, suggesting a possible link between ECP dysregulation and the inflammatory milieu characteristic of the disorder. Moreover, the potential implications of ECP in neuroinflammatory processes relevant to schizophrenia pathophysiology are discussed. ECP's role in modulating immune responses and its potential impact on neuronal function, synaptic plasticity, and neurotoxicity within the central nervous system (CNS) are considered, highlighting the potential contribution of ECP to the neuroinflammatory mechanisms underlying schizophrenia. In conclusion, while the precise role of ECP in schizophrenia pathogenesis warrants further elucidation, exploring its association with neuroinflammation holds promise in unraveling new biomarkers and therapeutic avenues for managing this complex psychiatric disorder.
Keyphrases
- bipolar disorder
- immune response
- end stage renal disease
- chronic kidney disease
- mental health
- oxidative stress
- machine learning
- risk assessment
- inflammatory response
- small molecule
- deep learning
- lipopolysaccharide induced
- amino acid
- prognostic factors
- big data
- blood brain barrier
- brain injury
- protein protein
- subarachnoid hemorrhage