The Study of Cerebrospinal Fluid microRNAs in Spinal Cord Injury and Neurodegenerative Diseases: Methodological Problems and Possible Solutions.
Irina BaichurinaVictor ValiullinVictoria JamesAlbert Anatolyevich RizvanovYana MukhamedshinaPublished in: International journal of molecular sciences (2021)
Despite extensive research on neurological disorders, unanswered questions remain regarding the molecular mechanisms underpinning the course of these diseases, and the search continues for effective biomarkers for early diagnosis, prognosis, or therapeutic intervention. These questions are especially acute in the study of spinal cord injury (SCI) and neurodegenerative diseases. It is believed that the changes in gene expression associated with processes triggered by neurological disorders are the result of post-transcriptional gene regulation. microRNAs (miRNAs) are key regulators of post-transcriptional gene expression and, as such, are often looked to in the search for effective biomarkers. We propose that cerebrospinal fluid (CSF) is potentially a source of biomarkers since it is in direct contact with the central nervous system and therefore may contain biomarkers indicating neurodegeneration or damage to the brain and spinal cord. However, since the abundance of miRNAs in CSF is low, their isolation and detection is technically difficult. In this review, we evaluate the findings of recent studies of CSF miRNAs as biomarkers of spinal cord injury (SCI) and neurodegenerative diseases. We also summarize the current knowledge concerning the methods of studying miRNA in CSF, including RNA isolation and normalization of the data, highlighting the caveats of these approaches and possible solutions.
Keyphrases
- spinal cord injury
- cerebrospinal fluid
- gene expression
- spinal cord
- neuropathic pain
- dna methylation
- randomized controlled trial
- transcription factor
- healthcare
- oxidative stress
- liver failure
- multiple sclerosis
- cerebral ischemia
- brain injury
- hepatitis b virus
- electronic health record
- big data
- intensive care unit
- quantum dots
- drug induced
- subarachnoid hemorrhage
- resting state