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Nature CommunicationsBioengineeringPeer-reviewed journal article

Dual-mode action of scalable, high-quality engineered stem cell-derived SIRPα-extracellular vesicles for treating acute liver failure

Seohyun KimiD, Yoon Kyoung KimiD, Seonghyun KimiD, Yong‐Soon ChoiiD, Inkyu LeeiD, Hyemin JooiD, Jaehyun Kim, Minjeong KwoniD, Seryoung ParkiD, Min Kyoung JoiD, Yoonjeong ChoiiD, Theresa D’Souza, Jae Woong Jung, Elie Zakhem, Stephen B. LenziniiD, Jiwan WooiD, Hongyoon ChoiiD, Jeongbin ParkiD, Seung‐Yoon ParkiD, Gi Beom KimiD, Gi‐Hoon NamiD, In‐San KimiD

PDFDOIPreprint

Abstract

Acute liver failure (ALF) is a critical inflammatory condition characterized by rapid hepatocyte death, impaired liver regeneration due to the delayed removal of necroptotic cells, and high mortality rates. This study introduces a novel dual-mode action therapeutic approach using extracellular vesicles expressing Signal Regulatory Protein Alpha (SIRP-EVs) derived from genetically engineered mesenchymal stem cells (MSCs). These SIRP-EVs are designed to concurrently resolve necroptosis and promote liver regeneration. Our studies identified CD47 and SIRP as promising therapeutic targets for ALF. We developed a scalable 3D bioreactor-based process that produces high-purity SIRP-EVs, which preserve MSC properties and achieve significant production levels. SIRP-EVs target both macrophages and necroptotic hepatocytes in ALF models, enhancing macrophage phagocytic activity against necroptotic cells via CD47 blockade and promoting liver regeneration by reprogramming macrophages with MSC-derived cargo. Comprehensive in vitro and in vivo studies demonstrate that SIRP-EVs decrease CD47+ necroptotic cells and promote liver regeneration in ALF models, leading to reduced liver damage markers and enhanced survival rates. These findings highlight the potential of SIRP-EVs as a dual-mode action therapeutic for ALF, offering promising prospects for their application in other inflammatory diseases. Moreover, these results pave the way for advancing engineered EV-based therapies toward clinical implementation.

Citations
25
FWCI
5.99
Field percentile
top 2%

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