| Literature DB >> 35382490 |
Atiyabanu N Saiyed1,2, Abhay R Vasavada1, S R Kaid Johar3.
Abstract
Background: Researchers now have a new avenue to investigate when it comes to miRNA-based therapeutics. miRNAs have the potential to be valuable biomarkers for disease detection. Variations in miRNA levels may be able to predict changes in normal physiological processes. At the epigenetic level, miRNA has been identified as a promising candidate for distinguishing and treating various diseases and defects. Main body: In recent pharmacology, plants miRNA-based drugs have demonstrated a potential role in drug therapeutics. The purpose of this review paper is to discuss miRNA-based therapeutics, the role of miRNA in pharmacoepigenetics modulations, plant miRNA inter-kingdom regulation, and the therapeutic value and application of plant miRNA for cross-kingdom approaches. Target prediction and complementarity with host genes, as well as cross-kingdom gene interactions with plant miRNAs, are also revealed by bioinformatics research. We also show how plant miRNA can be transmitted from one species to another by crossing kingdom boundaries in this review. Despite several unidentified barriers to plant miRNA cross-transfer, plant miRNA-based gene regulation in trans-kingdom gene regulation may soon be valued as a possible approach in plant-based drug therapeutics.Entities:
Keywords: Cross-kingdom; Drug; Epigenetics; Gene regulation; Post-transcription; Therapeutics; miRNA
Year: 2022 PMID: 35382490 PMCID: PMC8972743 DOI: 10.1186/s43094-022-00413-9
Source DB: PubMed Journal: Futur J Pharm Sci ISSN: 2314-7245
Fig. 1With the help of a microprocessor complex in the nucleus, pri-miRNA is transformed to pre-miRNA. After that, pre-miRNA is transferred to the cytoplasm by exportin 5 and miRNA duplex formation occurs. Then, using RISC assembly, the miRNA duplex was transformed into mature miRNA
The association of miRNA with the drug metabolising cascade
| miRNA | Drug metabolizing cascade | References |
|---|---|---|
| miRNA 27-b, miRNA 378 | CYP1B1andCYP2E1 | [ |
| miRNA 122a, miRNA422a | CYP7A1 | [ |
| miRNA 125, miRNA 126 | CYP24A1, CYP2A3 | [ |
| miRNA-451, miRNA 27a miRNA-3315p | ABCB1 | [ |
| miRNA 31 | ABCB9 | [ |
| miRNA 326, miRNA 1291 and miRNA 134 | ABCC1 | [ |
| miRNA 379, miRNA 9 miRNA 128 | ABCC2, ABCC3 and ABCC6, ABCC4, ABCC5 | [ |
| miRNA 519c, miRNA 520h, miRNA 328, miRNA 212, miRNA 181a miRNA 487a | ABCG2 | [ |
Approved miRNA-based drugs for miRNA therapeutics
| Drug | Clinical trial | miRNA inhibition | Disease | References |
|---|---|---|---|---|
| MRX34 | Phase I | ASOs (2-O′ methyl modifier) | P53/wnt pathway | [ |
| Miravirsen (SPC3649) | Phase I and Phase IIa | phosphorothioate linkage, cholesterol-conjugated AMOs | HCV | [ |
| Cobomarsen (MRG-106) | Phase II | LNA based | Various lymphomas | [ |
| Formiversen | Phase III | PNA based | CMV | [ |
| EXONDYS 51TM | Approved drug | PMO based | Duchenne muscular dystrophy (DMD) | [ |
| Geasense | Phase III | PNA based | BCL2 | [ |
Involvement of vectors in miRNA-based delivery
| Vector | Size | Structure | Influence on cells |
|---|---|---|---|
| AAV | ~ 4.7 kb | Protein capsid with ss DNA | Dividing and non-dividing cells |
| Retroviruses | ~ 7 to 11 kb | Lipid layer ss RNA | Only dividing cells |
| Lentiviruses | ~ 8 kb | Protein capsid ss RNA | Dividing and non-dividing cells |
Fig. 2The diagram depicts the divisions of miRNA-based delivery therapies
Plant miRNAs in gene regulation: a cross-species comparison
| miRNA | Source | Year | Target of interest | Method | Disease application | References |
|---|---|---|---|---|---|---|
miRNA-168a miRNA-156a miRNA-166a | 2012 | Human, Mouse, Rat, Calf, Hoarse, Sheep | HTS, qRT-PCR, NB, WB | Low-density lipoprotein receptor adaptor protein-1 (LDLRAP1) | [ | |
miRNA1_GA_CONTIG1 miRNA2_GA_CONTIG1 miRNA3_GA_CONTIG1 miRNA4_GA_CONTIG1 miRNA5_GA_CONTIG1 miRNA6_GA_CONTIG1 | 2013 | Human genes | Bioinformatics analysis | Signal transduction and apoptosis regulation | [ | |
| 08 predicted miRNA | 2013 | Human genes | Bioinformatics analysis | Diabetes mellitus type 2, cardiovascular disorders, alzheimer, cancer, thalassemia | [ | |
| miRNA-172 | 2014 | Mice | qRT-PCR | Not mentioned | [ | |
| miRNA-2911 | Honeysuckle | 2014 | Mice | qRT-PCR, HTS, NB, florescent labelled tracing assay | Not mentioned | [ |
| miRNA-29b, 200c | Milk derived | 2014 | Human, Mice | qRT-PCR | Not mentioned | [ |
| miRNA-2911 | 2015 | Mice | qRT-PCR, HTS, NB, florescent labelled tracing assay | Influenza A virus | [ | |
| miRNA-375 | Milk derived | 2015 | Mice | qRT-PCR, NB, HTS | Not mentioned | [ |
| miRNA-168a | 2016 | Human genes, | Bioinformatics analysis | Stress signalling, cell survival, cell growth, cell cycle and genome stability | [ | |
miRNA-166a miRNA-159 | 2016 | Mice | HTS, qRT-PCR | Not mentioned | [ | |
| miRNA-159 | 2016 | Mice | qRT-PCR | Breast cancer/transcription factor 7 | [ | |
| miRNA-159 | Glycine max | 2016 | Mice | qRT-PCR | Breast cancer/transcription factor 7 | [ |
| miRNA-159 | Broccoli | 2016 | Mice | qRT-PCR | Breast cancer/transcription factor 7 | [ |
| miRNA-14 | 2016 | Human | Bioinformatics analysis | Rheumatoid arthritis | [ | |
| miRNA-160 miRNA-2673 | 2016 | qRT-PCR | Not mentioned | [ | ||
| miRNA-2910 | 2017 | Human | Bioinformatics analysis | JAK-STAT pathway | [ | |
| 44 potential miRNA found | 2017 | Human genes | Bioinformatics analysis | Cancer, cardiovascular diseases and neurological disorders | [ | |
| 14 potential miRNA | 2017 | Human genes | Bioinformatics analysis | Focal adhesion, lipolysis regulation and mTOR signalling | [ | |
| miRNA-156a | Cabbage, spinach and lattuce | 2018 | Human | qRT-PCR | Cardiovascular diseases | [ |
| miRNA-414 and miRNA-869.1 | 2019 | Human genes | Bioinformatics analysis | Rheumatoid arthritis, Diabetes mellitus, Gestational diabetes, Cataract, Alzheimer’s disease, Infant death syndrome, Infantile achalasia and Cantu syndrome | [ | |
Bmn-miRNA-167h Bmn-miRNA-168 Bmn-miRNA-396g Bmn-miRNA-156 Bmn-miRNA-172d Bmn-miRNA-171d-3p Bmn-miRNA-399h-3p Bmn-miRNA-399f Bmn-miRNA-444b.1 Bmn-miRNA-403e Bmn-miRNA-159 Bmn-miRNA-857 | 2019 | Human genes | Bioinformatics analysis | Involvement in Nf-kB and MAPK pathway | [ |
Fig. 3Plant miRNAs cross-defence mechanisms such as the blood–brain barrier. The RNA transporter protein aids in the absorption of miRNA through gut cells. SID1-2 promotes miRNA uptake and interacts with targets such as (cardiovascular disease, cancer cells, Alzheimer diseases, rheumatoid arthritis and so on)
Fig. 4In miRNA-based delivery therapy, miRNA uptake, miRNA transportation, miRNA synthesis, and miRNA administration are all included. miRNA-based therapeutics are being developed to treat cell proliferation, cell singling, gene expression, inflammatory responses, and immunological processes. Furthermore, plant miRNA absorption, transportation, synthesis, and administration are all predicted for inter-kingdom investigations