2022
DOI: 10.7150/thno.70448
|View full text |Cite
|
Sign up to set email alerts
|

Engineered extracellular vesicles with high collagen-binding affinity present superior in situ retention and therapeutic efficacy in tissue repair

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
22
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 19 publications
(22 citation statements)
references
References 81 publications
0
22
0
Order By: Relevance
“…While a previous report used flow cytometry to test the interaction of rat pancreatic cancer EVs with single ECM components, including collagen I [ 17 ], another report used an electron microscopy-based approached to show that EVs released by activated neutrophils physically interact with collagen I fibers and that they can degrade collagen, contributing to the pathogenesis of chronic obstructive pulmonary disease (COPD), a disease of lung ECM remodeling [ 21 ]. In addition, a recent study showed that human placental MSC-derived EVs were able to bind collagen-coated surfaces and that EVs could be conjugated to a collagen-binding peptide to increase their affinity for collagen binding [ 22 ]. Hence, EVs appear to interact with the ECM, and this interaction would likely contribute to ECM remodeling during different pathological processes.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…While a previous report used flow cytometry to test the interaction of rat pancreatic cancer EVs with single ECM components, including collagen I [ 17 ], another report used an electron microscopy-based approached to show that EVs released by activated neutrophils physically interact with collagen I fibers and that they can degrade collagen, contributing to the pathogenesis of chronic obstructive pulmonary disease (COPD), a disease of lung ECM remodeling [ 21 ]. In addition, a recent study showed that human placental MSC-derived EVs were able to bind collagen-coated surfaces and that EVs could be conjugated to a collagen-binding peptide to increase their affinity for collagen binding [ 22 ]. Hence, EVs appear to interact with the ECM, and this interaction would likely contribute to ECM remodeling during different pathological processes.…”
Section: Discussionmentioning
confidence: 99%
“…As shown here, this protocol could be transposed to other EV subpopulations of interest (e.g., EVs from different pathological stages, or EVs bearing or not specific collagen receptors such as integrins) and provide a basis to investigate the role of EVs in functional assays such as invasion assays and matrix remodeling. In addition, the functionalization of therapeutic EVs to bind collagen [ 22 ] opens new perspectives to use our conclusions and protocols in therapeutic assays.…”
Section: Discussionmentioning
confidence: 99%
“…EVs with transfection of IL-10 overexpressing vector plasmids can modulate T cell immunity in autoimmune uveitis [ 96 ]. The chemical engineering of EVs to express a collagen-binding peptide could reduce inflammation and induce muscle regeneration in ischemic disease [ 97 ]. The incubation of EVs with anti-angiogenic peptide KV11-anchoring peptide CP05 with EVs could suppress neovascularization in the retina [ 98 ].…”
Section: Types Of Sev Therapeuticsmentioning
confidence: 99%
“…In addition, collagen in the hydrogel is responsible for the retention of loaded EVs. This retention permits a sustained release of EVs that are an optimum characteristic for a biomaterial in their use with EVs [ 70 ].…”
Section: Suitable Ev-based Hydrogels For Wound Healing Therapiesmentioning
confidence: 99%
“…All these studies have achieved a synergic association between EVs and hydrogels in terms of their functional and wound-healing properties [ 70 , 71 , 72 , 73 ]. However, as mentioned before, EV conservation requires improvement before reaching the clinics.…”
Section: Suitable Ev-based Hydrogels For Wound Healing Therapiesmentioning
confidence: 99%