| Literature DB >> 35588952 |
Lior Debbi1, Shaowei Guo2, Dina Safina1, Shulamit Levenberg3.
Abstract
In recent years, extracellular vesicles (EVs), specifically exosomes, have emerged as a promising strategy for treating a wide spectrum of pathologies, such as cancer and COVID-19, as well as promoting tissue regeneration in various conditions, including cardiomyopathies and spinal cord injuries. Despite the great potential of EV-based therapies, poor yield and unscalable production of EVs remain big challenges to overcome to translate these types of treatment to clinical practices. Here, we review different strategies for enhancing EV yield by physical, biological or chemical means. Some of these novel approaches can lead to about 100-fold increase in EV production yield, thus bringing closer the clinical translation with regard to scalability and efficiency.Entities:
Keywords: Drug delivery; Exosomes; Extracellular vesicles; Large-scale
Mesh:
Year: 2022 PMID: 35588952 PMCID: PMC9420194 DOI: 10.1016/j.biotechadv.2022.107983
Source DB: PubMed Journal: Biotechnol Adv ISSN: 0734-9750 Impact factor: 17.681
Fig. 1Novel strategies for boosting extracellular vesicle secretion. EV secretion rate can be significantly enhanced up to two orders of magnitude using various triggers including physical signals, molecular interference, environmental factors, and external inducers.
Stimulation methods for increasing EV secretion.
| Methods | Cell type | Treatment | Endosomal markers | Altered endogenous cargo | Increase in release | Scalability in GMP environment | Therapeutic use | Refs |
|---|---|---|---|---|---|---|---|---|
| Physical Signals | ||||||||
| Mechanical loading | HDMECs, DPSCs, hSkMCs, PDL | 0.5 ml/min flow induction for 48 h, 25% 1 Hz cyclic stretch for 48 h | CD9, CD63, CD81 | RhoG, ITGAV, CAPZA2, CKAP5, CDH13, ARPC2/4, MYH11, TUBB ↑ | 11 to 150 fold | +++ | drug delivery platform, neuronal regeneration, muscle regeneration | ( |
| Geometry | MSCs, DPSCs | 3D aggregates, 3D constructs support by polymeric scaffold | CD9, CD63, CD81 | miR-210 ↑, miR-134, miR-137, miR-184↓ | 3 to 10 fold | +++ | pro-angiogenic properties | ( |
| Acoustic stimulation | U87-MG human glioblastoma cells and A549 adenocarcinomic human alveolar basal epithelial cells | 7 repeated cycles of 10 min SRBWs stimulation (4 W, 10 MHz) followed by 30 min of cell incubation | CD63, Alix | syntenin-1 | 8 to 10 fold | + | drug delivery platform | ( |
| Electric stimulation | murine melanoma and murine fibroblast | 0.34 mA/cm2 electrical field for 60 min | CD9, HSP70, and CD81 | − | ca. 1.7 fold | + | beneficial effects of transcranial direct current stimulation (tDCS) in the brain | ( |
| Molecular Interference | ||||||||
| Glycolysis & oxidative phosphorylation inhibition | cancer cell lines: UMSCC47, PCI-13 and MEL526, | 10 μM IAA/DNP for over 48 h | TSG101 | − | 3 to 16-fold | ++ | − | ( |
| Endolysosomal trafficking | SKOV-3 cells, cardiac progenitor cells | NDRG1 knocked down | Alix, TSG101, CD9, CD81 | − | up to 2 fold | ++ | Myocardial ischemia and ischemia/reperfusion injury. | ( |
| Adiponectin | MSCs | 20 mg/ml HMW-APN for 48 h | Syntenin, MFG-E8, Alix, CD63, TSG101 | ↑ miRNAs: let-7 family, miR-21, −100, −148a, −10, −26, and − 199, and others | ca. 3 fold | ++ | Pressure-overload heart failure | ( |
| Small molecule modulators | MSCs | 100 μM NE/MeDA for 48 h | CD9, CD63, Hrs, TSG101, Stam1, Alix | ↑ proteins: COL15A1, COL11A1, LOXL2, AGRN, NID2, HSPG2, COM | ca. 3 fold | ++ | Ischemic or inflammatory diseases | ( |
| Environmental Factors | ||||||||
| Hypoxia | Breast cancer cell lines | 1% for 48 h or 0.1% O2 for 24 h | CD63, TSG101, CD9 | miR-210 ↑ | up to 2 fold | +++ | − | (Hamish W. |
| Pancreatic cancer cell lines | 1% O2 for 48-72 h | CD63 | circZNF91↑, miR-23b-3p ↓ | up to 2 fold | +++ | − | ( | |
| MSCs | 1% O2 for 48 h | CD63, TSG101, CD9, CD81 | miR-126 ↑ | ca. 1.5 fold | +++ | bone fracture healing | ( | |
| Acidity | metastatic prostate carcinoma LNCaP, metastatic melanoma Me30966, SaOS2 osteosarcoma, SKBR3 metastatic breast adenocarcinoma, and HCT116 colorectal carcinoma | pH 6.5 for 5 days | CD9, CD63, CD81, TSG101, Alix | − | sKBR3–6 fold, LNCaP - 9 fold, SaOS2–14 fold, HTC116–52 fold, Me30966–102 fold | +++ | − | ( |
| metastatic melanoma cells | pH 6 for 4 days | Lamp-2, CD81, and Rab 5B | caveolin-1 ↑, membrane rigidity ↑, sphingomyelin/ganglioside GM3 ( | up to 4 fold | +++ | delivery system for paracrine diffusion of tumor malignancy | ( | |
| HEK 293 | pH 4 for 3 days | CD9, CD63, HSP70 | − | up to 6 fold | +++ | − | ( | |
| Starvation or hyperglycemia | immortalized H9C2 cardiomyocytes | glucose starved for 48 h | CD9, CD63, CD81 | 22 different miRs ↑ | ca. 3 fold | +++ | pro-angiogenic properties | ( |
| First-trimester trophoblast cells | 1% O2, hyperglycemia (25 mM glucose) for 48 h | CD63 | − | ca. 3 fold | +++ | induction if cytokine release | ( | |
| External Inducers | ||||||||
| Liposomes | cancer cell lines:C26, B16BL6, MKN45, DLD-1 | 0.5-2 mM PEGylated/NL/CL1 for 48 h | TSG101, CD63 or CD81 | − | up to 3-fold | ++ | tumor metastasis | ( |
| Nanoparticles | MSCs | 5-20 μg/ml PLGA-PEI PCS NPs (+) for 24 h | CD63, CD9, and CD81 | mmu-miR-2137, mmu-miR-3473b, mmu-miR-3473e, mmu-miR-3960, mmu-miR-5126, mmu-miR-5126, mmu-miR-455-3p ↑ | 5 to 20-fold | ++ | tissue regeneration or antioxidant efficacy | ( |