In:
Neuro-Oncology, Oxford University Press (OUP), Vol. 24, No. 11 ( 2022-11-02), p. 1871-1883
Kurzfassung:
Targeting glioblastoma (GBM) energy metabolism through multiple metabolic pathways has emerged as an effective therapeutic approach. Dual inhibition of phospholipid and mitochondrial metabolism with cytoplasmic phospholipase A2 (cPLA2) knockdown and metformin treatment could be a potential strategy. However, the strategic prerequisite is to explore a carrier capable of co-delivering the therapeutic combination to cross the blood-brain barrier (BBB) and preferentially accumulate at the GBM site. Methods Blood exosomes (Exos) were selected as the combination delivery carriers. The cellular uptake of Exos and the therapeutic effects of the combination strategy were evaluated in primary GBM cells. In vivo GBM-targeted delivery efficiency and anti-GBM efficacy were tested in a patient-derived xenograft (PDX) model. Results Here, we showed that the Exos-mediated cPLA2 siRNA/metformin combined strategy could regulate GBM energy metabolism for personalized treatment. Genomic analysis and experiments showed that polymerase 1 and transcript release factor (PTRF, a biomarker of GBM) positively regulated the uptake of Exos by GBM cells, confirming the feasibility of the delivery strategy. Further, Exos could co-load cPLA2 siRNA (sicPLA2) and metformin and co-deliver them across the BBB and into GBM tissue. The mitochondrial energy metabolism of GBM was impaired with this combination treatment (Exos-Met/sicPLA2). In the PDX GBM model, systemic administration of Exos-Met/sicPLA2 reduced tumor growth and prolonged survival. Conclusions Our findings demonstrated that Exos-based combined delivery of sicPLA2 and metformin selectively targeted the GBM energy metabolism to achieve antitumor effects, showing its potential as a personalized therapy for GBM patients.
Materialart:
Online-Ressource
ISSN:
1522-8517
,
1523-5866
DOI:
10.1093/neuonc/noac071
Sprache:
Englisch
Verlag:
Oxford University Press (OUP)
Publikationsdatum:
2022
ZDB Id:
2094060-9
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