| Literature DB >> 35743278 |
Donatella Coradduzza1, Emanuela Bellu1, Antonella Congiargiu1, Aleksei Pashchenko1,2, Evzen Amler2,3, Alois Necas4, Ciriaco Carru1, Serenella Medici5, Margherita Maioli1,6.
Abstract
MicroRNAs (miRNA) are key regulators of gene expression, controlling different biological processes such as cellular development, differentiation, proliferation, metabolism, and apoptosis. The relationships between miRNA expression and the onset and progression of different diseases, such as tumours, cardiovascular and rheumatic diseases, and neurological disorders, are well known. A nanotechnology-based approach could match miRNA delivery and detection to move beyond the proof-of-concept stage. Different kinds of nanotechnologies can have a major impact on the diagnosis and treatment of miRNA-related diseases such as cancer. Developing novel methodologies aimed at clinical practice represents a big challenge for the early diagnosis of specific diseases. Within this context, nanotechnology represents a wide emerging area at the forefront of research over the last two decades, whose potential has yet to be fully attained. Nanomedicine, derived from nanotechnology, can exploit the unique properties of nanometer-sized particles for diagnostic and therapeutic purposes. Through nanomedicine, specific treatment to counteract only cancer-cell proliferation will be improved, while leaving healthy cells intact. In this review, we dissect the properties of different nanocarriers and their roles in the early detection and treatment of cancer.Entities:
Keywords: nanotechnology biomarker; nano–microRNA; target therapy
Mesh:
Substances:
Year: 2022 PMID: 35743278 PMCID: PMC9223810 DOI: 10.3390/ijms23126836
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 6.208
Figure 1Representation of mechanism of action of nanodevices for miRNA detection. The nanodevice can detect the miRNA of interest at the tumour site.
Figure 2Representation of a hypothetical mechanism of action of nanodevices for miRNA delivery. The nanodevice can deliver the miRNA of interest to the tumour site to reduce the expression of tumour-related genes.
miRNAs for diagnosing.
| Type of Biosensor/Sensing System | Detected miRNAs/miRNA Precursors | Detection Limit | Types of Samples | References |
|---|---|---|---|---|
| Colorimetric Biosensor | let-7d | ca. 1.06 nM | -- | [ |
| miR-148a | ~1.9 nM | Cancer cells | [ | |
| ~1.9 nM | Cancer cells | [ | ||
| miR-21, miR-155 | <1 ng/µL | Cancer cell lines | [ | |
| Surface plasmon resonance (SPR) | miR-141 | 1 fM | Cell extractions | [ |
| 0.5 fM | -- | [ | ||
| 0.6 fM | -- | [ | ||
| miR-21 | 1 pM | Human total RNA | [ | |
| let-7a | 0.8 fM | Human serum and cell lysate | [ | |
| miR-148a | ~1.9 nM | -- | [ | |
| miR-210 | 0.78 nM | -- | [ | |
| Graphene | miR-29a, miR-144 | 0.05 pmol | Human serum and HeLa cells | [ |
| miR-21, miR-1246, miR-Let7b | 10 fM | Urine | [ | |
| Carbon dots | miR-155 | 0.1 aM | MCF-7 and human serum | [ |
| miR-21 | 0.3 nM | -- | [ | |
| 0.03 fM | MCF-7 | [ | ||
| Molecular beacon | miR-21, miR-122, miR-155 | -- | Cell lines | [ |
| miR-155-5p | -- | -- | [ | |
| Electrochemical biosensor | miR-155 | 0.6 fM | -- | [ |
| miR199a-5p | 4.5 fM | -- | [ | |
| microRNA | 1.2 aM | -- | [ | |
| miR-141 | 7.78 fM | -- | [ | |
| miR-155 | 20 zmol | -- | [ | |
| 0.15 fM | Human serum | [ | ||
| miR-21 | 0.020 fM | -- | [ | |
| miR-21, miR-155, and miR-210 | -- | -- | [ | |
| miR-21 | 0.14 U/mL | -- | [ | |
| Förster resonance energy transfer (FRET) | miR-21 | -- | Cancer cells | [ |
| miR-148 | 42 fM | Human cancer- and normal-cell lines | [ | |
| Magneto-plasmonic Nanoparticle | miR-375 | 61.9 aM | Human serum | [ |
| Nanoflares | miR-21, miR-141 | -- | Cancer cells | [ |
| miR-375 | 0.36 fM | Human serum | [ | |
| miR-21 | -- | Living cells | [ | |
| Polystyrene nanoparticles | miRNAs, miR-106a, miR-15a, and miR-21 | -- | -- | [ |
| Iron oxide nanocubes | miR-107 | 100 aM | -- | [ |
| DNA mini hexahedron (DMH) and DNA-based probe | miR-21, miR-1246 | -- | Healthy and cancerous cells | [ |
| Gold nanoparticles (AuNPs) | miR-155 | 10 nM | -- | [ |
| miR-141 | 25.1 aM | -- | [ | |
| miR-21 | 50 pM | -- | [ | |
| microRNA | -- | Cell lysate | [ | |
| miR-21 | 0.89 pM | Cell extracts and serum samples | [ | |
| miR-21, miR-200b | Zeptomolar range | -- | [ | |
| Silver nanoparticle (AgNFs) | miR-26a-5p, miR-223 and miR-27a-3p | -- | -- | [ |
miRNAs for Therapy.
| Type of Nanocarrier | Target miRNAs | Target | References |
|---|---|---|---|
| Nanoparticles | MiR-17, miR-21 | Prostate cancer cell | [ |
| miR-21 | Pancreatic cancer cell | [ | |
| MiR-10b-a | Tumour | [ | |
| miR-145 | Cancer | [ | |
| miR-21 | Ovarian cancer cells | [ | |
| miR-148a, miR-296-5p | Glioblastoma cells | [ | |
| miR-34a | Breast cancer cells | [ | |
| miR-100, miR-21 | Glioblastoma | [ | |
| miR-29b | Leukaemia | [ | |
| miR-29b | Lung cancer | [ | |
| miR-21 | Breast cancer | [ | |
| miR-21, miR-221 | Breast cancer | [ | |
| miR-21, miR-155 | Cancer | [ | |
| MiR-21 | Triple-negative breast cancer | [ | |
| miR-34a, miR-10b | Triple-negative breast cancer | [ | |
| miR-376b | HER2-positive breast cancer | [ | |
| miR-34a, miR-16 | Non-small-cell lung cells | [ | |
| miRNA-145 | Colon cancer cells | [ | |
| miR-let-7c-5p | HeLa cells | [ | |
| miRNA-124, miRNA-21 | Glioblastoma cells | [ | |
| miR-let-7b | Lung cancer cells | [ | |
| miR-122 | Tumour cells | [ | |
| miR-181 | Oesophageal cancer | [ | |
| Nanoplatforms/nanosystems | miR-21 | Breast cancer cells | [ |
| miR-101 | MCF7, MDA- MB-231 | [ | |
| MiR-101 | Breast cancer cells | [ | |
| Breast cancer cells | [ | ||
| Extracellular vesicles | miR-21 | SKBR3 cells | [ |
| Exosomes | miR-142-3p, miR-150 | Breast cancer cells | [ |
| miR-34a | Breast cancer cells | [ | |
| miR-130 | Breast cancer cells | [ | |
| Micelles | miR-21 | Cancer cells | [ |
| miR-210 | Breast cancer cells | [ | |
| Niosomes | miR-15a, miR-16-1 | Prostate cancer cells | [ |
Figure 3Summary of methodological workflow for studying miRNA function. The workflow summarizes the emerging high-throughput experimental approaches for the study of miRNA gene regulatory networks.