Nanobiohybrid Extracellular\nVesicle Nanoreactor with\nImproving Metabolical Activity for Biocatalytic Therapy

Extracellular vesicles (EVs) hosting enzymatic activities\nthat\nfunction as independent metabolic units are attractive natural biocatalytic\nplatforms. However, directly using these metabolically active nanoreactors\nfor effective biocatalytic applications remains challenging, mainly\ndue to their constrained catalytic capabilities. Here, we construct\nan EV-templated nanobiohybrid system by engineering an EV surface\nwith a photoresponsive zeolitic imidazolate framework (ZIF). The deposition\nof ZIF nanostructures on EVs not only contributes to improved biocatalytic\nstability but also enables interfacial coupling between photoexcited\nelectrons from the ZIF and the enzymatic reaction of metabolically\nactive EVs. Nearly 300% of biomass conversion efficiency increment\ncould be achieved by EVs derived from macrophages. This enhanced biocatalysis,\nhigh catalytic stability, and low cytotoxicity endowed the EV@ZIF\nnanosystem with robust biosynthesis and antimicrobial activity. When\nevaluated in a mouse periodontitis model, we show that the autologous\nbiocatalytic EV@ZIF demonstrated efficient therapeutic capability\nby killing bacteria and inhibiting inflammation. This nanoengineering\nstrategy will benefit the future optimization of metabolically active\nEV nanoreactors as biocatalysts for a broad range of therapeutics.

Publication Details

Journal
Figshare
Published
2024-11-13
DOI
https://doi.org/10.1021/acsnano.4c12458.s001
Primary Topic
Nanoplatforms for cancer theranostics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Nanobiohybrid Extracellular\nVesicle Nanoreactor with\nImproving Metabolical Activity for Biocatalytic Therapy

Figshare
Nanoplatforms for cancer theranostics
article

Nanobiohybrid Extracellular\nVesicle Nanoreactor with\nImproving Metabolical Activity for Biocatalytic Therapy

article en

Abstract

Extracellular vesicles (EVs) hosting enzymatic activities\nthat\nfunction as independent metabolic units are attractive natural biocatalytic\nplatforms. However, directly using these metabolically active nanoreactors\nfor effective biocatalytic applications remains challenging, mainly\ndue to their constrained catalytic capabilities. Here, we construct\nan EV-templated nanobiohybrid system by engineering an EV surface\nwith a photoresponsive zeolitic imidazolate framework (ZIF). The deposition\nof ZIF nanostructures on EVs not only contributes to improved biocatalytic\nstability but also enables interfacial coupling between photoexcited\nelectrons from the ZIF and the enzymatic reaction of metabolically\nactive EVs. Nearly 300% of biomass conversion efficiency increment\ncould be achieved by EVs derived from macrophages. This enhanced biocatalysis,\nhigh catalytic stability, and low cytotoxicity endowed the EV@ZIF\nnanosystem with robust biosynthesis and antimicrobial activity. When\nevaluated in a mouse periodontitis model, we show that the autologous\nbiocatalytic EV@ZIF demonstrated efficient therapeutic capability\nby killing bacteria and inhibiting inflammation. This nanoengineering\nstrategy will benefit the future optimization of metabolically active\nEV nanoreactors as biocatalysts for a broad range of therapeutics.

Figshare
Affordable and clean energy
Openalex Percentile: Top 69%
Nanoplatforms for cancer theranostics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Nanobiohybrid Extracellular\nVesicle Nanoreactor with\nImproving Metabolical Activity for Biocatalytic Therapy · Figshare (2024) | TGRS Research Map | TGRS