Javascript must be enabled to continue!
Reelin Signaling and Synaptic Plasticity in Schizophrenia
View through CrossRef
Recent research emphasizes the significance of studying the quality of life of schizophrenia patients, considering the complex nature of the illness. Identifying neuronal markers for early diagnosis and treatment is crucial. Reelin (RELN) stands out among these markers, with genetic studies highlighting its role in mental health. Suppression of RELN expression may contribute to cognitive deficits by limiting dendritic proliferation, affecting neurogenesis, and leading to improper neuronal circuits. Although the physiological function of reelin is not fully understood, it plays a vital role in hippocampal cell stratification and neuroglia formation. This analysis explores reelin’s importance in the nervous system, shedding light on its impact on mental disorders such as schizophrenia, paving the way for innovative therapeutic approaches, and at the same time, raises the following conclusions: increased methylation levels of the RELN gene in patients with a diagnosis of schizophrenia results in a multiple decrease in the expression of reelin, and monitoring of this indicator, i.e., methylation levels, can be used to monitor the severity of symptoms in the course of schizophrenia.
Title: Reelin Signaling and Synaptic Plasticity in Schizophrenia
Description:
Recent research emphasizes the significance of studying the quality of life of schizophrenia patients, considering the complex nature of the illness.
Identifying neuronal markers for early diagnosis and treatment is crucial.
Reelin (RELN) stands out among these markers, with genetic studies highlighting its role in mental health.
Suppression of RELN expression may contribute to cognitive deficits by limiting dendritic proliferation, affecting neurogenesis, and leading to improper neuronal circuits.
Although the physiological function of reelin is not fully understood, it plays a vital role in hippocampal cell stratification and neuroglia formation.
This analysis explores reelin’s importance in the nervous system, shedding light on its impact on mental disorders such as schizophrenia, paving the way for innovative therapeutic approaches, and at the same time, raises the following conclusions: increased methylation levels of the RELN gene in patients with a diagnosis of schizophrenia results in a multiple decrease in the expression of reelin, and monitoring of this indicator, i.
e.
, methylation levels, can be used to monitor the severity of symptoms in the course of schizophrenia.
Related Results
Reelin engages non-canonical signaling pathways to drive endothelial remodeling and plasticity
Reelin engages non-canonical signaling pathways to drive endothelial remodeling and plasticity
Abstract
BACKGROUND
The vascular endothelium is a dynamic tissue central to vascular homeostasis and disease, with endothelial ...
Non-synaptic plasticity enables memory-dependent local learning
Non-synaptic plasticity enables memory-dependent local learning
Abstract
Synaptic plasticity is essential for memory formation and learning in the brain. In addition, recent results indicate that non-synaptic plasticity processe...
Reelin Dab-bles in the Brain
Reelin Dab-bles in the Brain
The secreted protein Reelin controls neuron positioning during embryonic brain development. The intracellular response to Reelin includes phosphorylation of the cytoplasmic protein...
Short-term depression and long-term plasticity together tune sensitive range of synaptic plasticity
Short-term depression and long-term plasticity together tune sensitive range of synaptic plasticity
Abstract
Synaptic efficacy is subjected to activity-dependent changes on short- and long time scales. While short-term changes decay over minutes, long-term modific...
Energetics of stochastic BCM type synaptic plasticity and storing of accurate information
Energetics of stochastic BCM type synaptic plasticity and storing of accurate information
Abstract
Excitatory synaptic signaling in cortical circuits is thought to be metabolically expensive. Two fundamental brain functions, learning and memory, are asso...
Synaptic Integration
Synaptic Integration
Abstract
Neurons in the brain receive thousands of synaptic inputs from other neurons. Synaptic integration is the term used to describe how neu...
Synaptic Self-Organization of Spatio-Temporal Pattern Selectivity
Synaptic Self-Organization of Spatio-Temporal Pattern Selectivity
ABSTRACT
Spiking model neurons can be set up to respond selectively to specific spatio-temporal spike patterns by optimization of their input weights. It is unknown...
Ferroelectric Devices for Neuromorphic Computing
Ferroelectric Devices for Neuromorphic Computing
Neuromorphic computing inspired by the neural network systems of the human brain enables energy efficient computing for big-data processing. A neural network is formed by thousands...

