| Literature DB >> 31892254 |
Nicoletta Nuzziello1, Loredana Ciaccia2, Maria Liguori1.
Abstract
: Novel insights in the development of a precision medicine approach for treating the neurodegenerative diseases (NDDs) are provided by emerging advances in the field of pharmacoepigenomics. In this context, microRNAs (miRNAs) have been extensively studied because of their implication in several disorders related to the central nervous system, as well as for their potential role as biomarkers of diagnosis, prognosis, and response to treatment. Recent studies in the field of neurodegeneration reported evidence that drug response and efficacy can be modulated by miRNA-mediated mechanisms. In fact, miRNAs seem to regulate the expression of pharmacology target genes, while approved (conventional and non-conventional) therapies can restore altered miRNAs observed in NDDs. The knowledge of miRNA pharmacoepigenomics may offers new clues to develop more effective treatments by providing novel insights into interindividual variability in drug disposition and response. Recently, the therapeutic potential of miRNAs is gaining increasing attention, and miRNA-based drugs (for cancer) have been under observation in clinical trials. However, the effective use of miRNAs as therapeutic target still needs to be investigated. Here, we report a brief review of representative studies in which miRNAs related to therapeutic effects have been investigated in NDDs, providing exciting potential prospects of miRNAs in pharmacoepigenomics and translational medicine.Entities:
Keywords: drug response; epidrug; microRNA; neurodegenerative diseases; pharmacoepigenomic; precision medicine
Mesh:
Substances:
Year: 2019 PMID: 31892254 PMCID: PMC7017296 DOI: 10.3390/cells9010075
Source DB: PubMed Journal: Cells ISSN: 2073-4409 Impact factor: 6.600
List of miRNAs involved into therapeutic effects of available conventional (and non-conventional) treatments for some NDDs. For each disease, the investigated drug, the differentially expressed miRNAs, their source, the type of comparison and the published papers are indicated.
| Disease | Drug | miRNA | Source | Comparison | Ref. |
|---|---|---|---|---|---|
| Alzheimer’s Disease | Donepezil | miR-206-3p | Hippocampus, cortex - Mouse | Treat vs Non treat | [ |
| Simvastatin | miR-106b | SH-SY5Y cells; APP/PS1 mice brain tissues | Treat vs Non treat | [ | |
| Osthole | miR-9 | APP-overexpressed cells | Treat vs Non treat | [ | |
| miR-107 | APP-overexpressed cells; APP/PS1 mice | Treat vs Non treat | [ | ||
| miR-101a-3p | APP-overexpressed cells; APP/PS1 mice | Treat vs Non treat | [ | ||
| AGR-GRg1 | miR-873-5p | Hippocampus - Mouse | Treat vs Non treat | [ | |
| Parkinson’s disease | miR-30b-5p, miR-30a-5p | Plasma | Treat vs Non treat | [ | |
| miR-29a-3p, miR-30b-5p, miR-103a-3p | PBMCs | Treat vs Non treat | [ | ||
| miR-16-2-3p, miR-26a-2-3p, miR-30a | Peripheral blood | Treat vs Non treat | [ | ||
| miR-155 | PBMCs | Treat vs Non treat | [ | ||
| miR-7, miR-9-3p, miR-9-5p, miR-129, miR-132 | Peripheral blood | Treat vs Non treat | [ | ||
| Multiple Sclerosis | Interferon-β | miR-29 | PBMCs | Treat vs Non treat | [ |
| miR-145, miR-20a-5p | Whole blood | Treat vs Non treat | [ | ||
| miR-22-3p, miR-660-5p, miR-486-5p, miR-451a, let-7b-5p, miR-320b, miR-122-5p, miR-215-5p, miR-320d, miR-19-3p, miR-26a-5p, miR-142-3p, miR-146a-5p, miR-15-3p, miR-23a-3p, miR-223-3p | Exosome | Res vs Non res | [ | ||
| miR-29b-3p | PBMCs | Res vs Non res | [ | ||
| miR-326 | PBMCs | Res vs Non res | [ | ||
| miR-26a-5p | PBMCs | Res vs Non res | [ | ||
| Glatiramer acetate | miR-146a, miR-142-3p | PBMCs | Treat vs Non treat | [ | |
| miR-155-5p, miR-27a-3p, miR-9-5p, miR-350-5p | Plasma and urine exosome | Treat vs Non treat | [ | ||
| Natalizumab | miR-150 | CSF, Plasma | Treat vs Non treat | [ | |
| miR-126, miR-17 | CD4 + T cells | Treat vs Non treat | [ | ||
| miR-17~92, miR-106b~25 | B lymphocytes | Treat vs Non treat | [ | ||
| miR-18a, miR-20b, miR-29a, miR-103 | Blood, CD4 + T cells | Treat vs Non treat | [ | ||
| miR-26a, miR-155 | PBMCs | Treat vs Non treat | [ | ||
| miR-155 | Monocytes | Treat vs Non treat | [ | ||
| Dimethyl fumarate | miR-155 | Monocytes | Treat vs Non treat | [ | |
| Fingolimod | miR-150 | Plasma | Treat vs Non treat | [ | |
| miR-23a, miR-15b, miR-223 | Blood | Treat vs Non treat | [ | ||
| miR-34a-5p, miR-211-5p, miR-204-5p | Peripheral blood | Res vs Non res | [ | ||
| miR-150-5p, miR-548e-3p, miR-130b-3p, miR-654-5p, miR-487b-3p, miR-203a, miR-193a-5p, miR-379-5p, miR-370-3p, miR-382-5p, miR-493-3p, miR-432-5p, miR-485-5p, miR-2110, miR-1307-3p, miR-1908-5p | Serum exosomal | Stable res vs Positive res | [ | ||
| Progressive Multifocal Leukoencephalopathy | Natalizumab | miR-320, miR-320b, miR-629 | Blood | Treat vs Non treat | [ |
| Neuromyelitis Optica | Rituximab | miR-125b, miR-760, miR-135a, miR-134, miR-138, miR-135b | Blood | Treat vs Non treat | [ |
Figure 1Circular view of microRNAs (miRNAs) and related drugs. Yellow nodes represent miRNAs, green nodes represent multiple sclerosis (MS) disease-modifying therapies, blue nodes represent Parkinson’s disease (PD) treatments, and red nodes represent AD treatments. The color of edges is associated to neurodegenerative diseases (NDDs), and the size of the nodes is proportional to the degree of the nodes (number of incoming and outcoming edges). The network is visualized using Cytoscape v3.7.1. (Institute for Systems Biology, Seattle, WA, USA).
Figure 2Schematic representation of miRNA pharmacoepigenomics reported in MS by Cytoscape v3.7.1. Yellow nodes represent miRNAs. Fingolimod, Natalizumab, Glatiramer Acetate, Interferon-β, and Dimethyl fumarate, are shown in green, blue, purple, orange, and brown, respectively. The size of the nodes is proportional to the degree of the nodes. It is worthy to mention that, among the more frequently used disease-modifying therapies (DMTs) in relapsing-remitting course (RRMS), Fingolimod, Glutiramer Acetate, and Natalizumab seem to significantly impact the expression levels of common miRNAs (and possibly target genes), while their mechanisms of action are quite different (see the text). Indeed, this observation may suffer from some biases due to e.g., the selection of the investigated miRNAs, the molecular methods used, etc., so more definitive conclusions can be drawn after planned studies.