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Small Extracellular Vesicle Signaling and Mitochondrial Transfer Reprograms T Helper Cell Function in Human Asthma

Hough, K. P.; Trevor, J. L.; Ahmad, S.; Wang, Y.; Chacko, B. K.; Goliwas, K. F.; Strenkowski, J. G.; Bone, N. B.; Kim, Y.-i.; Holmes, R.; Liu, Y.; Vang, S.; Pritchard, A.; Chin, J.; Bodduluri, S.; Antony, V. B.; Tousif, S.; Athar, M. S.; Chanda, D.; Mitra, K.; Zmijewski, J.; Zhang, J.; Duncan, S. R.; Thannickal, V. J.; Gabrielsson, S.; Darley-Usmar, V. M.; Deshane, J. S.

2025-04-02 immunology
10.1101/2024.04.30.589227 bioRxiv
Show abstract

Small extracellular vesicles (sEVs) are known to orchestrate cell-cell communication, but the role of sEV signaling via mitochondria in perpetuating asthmatic airway inflammation is unknown. Myeloid-derived regulatory cells (MDRCs) are known to control CD4+ T cell responses in asthma. We demonstrate that airway MDRC-derived sEVs from asthmatics mediate T cell receptor engagement and transfer of mitochondria that induce antigen-specific activation and polarization of Th17 and Th2 cells; these cells are drivers of chronic airway inflammation in asthma. CD4+ T cells internalize sEVs containing mitochondria predominantly by membrane fusion, and blocking mitochondrial oxidant signaling in MDRC-derived sEVs mitigates T cell activation. Reactive oxygen species-mediated signaling that elicits T cell activation in asthmatics is sEV-dependent. Additionally, a Drp1-dependent mechanism in pro-inflammatory MDRCs promotes mitochondrial packaging within sEVs, which then co-localize with the polarized cytoskeleton and mitochondrial networks in recipient T cells. Importantly, intranasal transfer of mitochondria packaged sEVs enhances airway inflammation and Th polarization in vivo in a murine model of asthma. Thus, our studies indicate a previously unrecognized role for mitochondrial fission and sEV-mediated mitochondrial transfer-mediated signaling in dysregulated T cell activation and Th cell polarization in asthma which could constitute a novel therapeutic target.

Published in Nature Communications (predicted rank #3) · training set

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