A Time-Course Study of the Expression Level of Synaptic Plasticity-Associated Genes in Un-Lesioned Spinal Cord and Brain Areas in a Rat Model of Spinal Cord Injury: A Bioinformatic Approach.
Vito Antonio BaldassarroMarco SannaAndrea BighinatiMichele SanniaMarco GusciglioLuciana GiardinoLuca LorenziniLaura CalzàPublished in: International journal of molecular sciences (2021)
"Neuroplasticity" is often evoked to explain adaptation and compensation after acute lesions of the Central Nervous System (CNS). In this study, we investigated the modification of 80 genes involved in synaptic plasticity at different times (24 h, 8 and 45 days) from the traumatic spinal cord injury (SCI), adopting a bioinformatic analysis. mRNA expression levels were analyzed in the motor cortex, basal ganglia, cerebellum and in the spinal segments rostral and caudal to the lesion. The main results are: (i) a different gene expression regulation is observed in the Spinal Cord (SC) segments rostral and caudal to the lesion; (ii) long lasting changes in the SC includes the extracellular matrix (ECM) enzymes Timp1, transcription regulators (Egr, Nr4a1), second messenger associated proteins (Gna1, Ywhaq); (iii) long-lasting changes in the Motor Cortex includes transcription regulators (Cebpd), neurotransmitters/neuromodulators and receptors (Cnr1, Gria1, Nos1), growth factors and related receptors (Igf1, Ntf3, Ntrk2), second messenger associated proteins (Mapk1); long lasting changes in Basal Ganglia and Cerebellum include ECM protein (Reln), growth factors (Ngf, Bdnf), transcription regulators (Egr, Cebpd), neurotransmitter receptors (Grin2c). These data suggest the molecular mapping as a useful tool to investigate the brain and SC reorganization after SCI.
Keyphrases
- spinal cord injury
- spinal cord
- extracellular matrix
- transcription factor
- neuropathic pain
- gene expression
- poor prognosis
- multiple sclerosis
- dna methylation
- high resolution
- oxidative stress
- electronic health record
- white matter
- blood brain barrier
- machine learning
- resting state
- nitric oxide
- mass spectrometry
- long non coding rna
- amino acid
- deep learning
- stress induced
- atomic force microscopy
- functional connectivity
- nitric oxide synthase