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The Trojan exosome hypothesis

Open access
Gould, Stephen J., Booth, Amy M., Hildreth, James E. K.·2003·Proceedings of the National Academy of Sciences

Abstract

We propose that retroviruses exploit a cell-encoded pathway of intercellular vesicle traffic, exosome exchange, for both the biogenesis of retroviral particles and a low-efficiency but mechanistically important mode of infection. This Trojan exosome hypothesis reconciles current paradigms of retrovirus-directed transmission with the unique lipid composition of retroviral particles, the host cell proteins present in retroviral particles, the complex cell biology of retroviral release, and the ability of retroviruses to infect cells independently of Envelope protein–receptor interactions. An exosomal origin also predicts that retroviruses pose an unsolvable paradox for adaptive immune responses, that retroviral antigen vaccines are unlikely to provide prophylactic protection, and that alloimmunity is a central component of antiretroviral immunity. Finally, the Trojan exosome hypothesis has important implications for the fight against HIV and AIDS, including how to develop new antiretroviral therapies, assess the risk of retroviral infection, and generate effective antiretroviral vaccines.

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Metadata

Authors
Gould, S. J., Booth, A. M., & Hildreth, J. E. K.
Venue
Proceedings of the National Academy of Sciences
Published
2003-08-28
Volume
100
Issue
19
Pages
10592-10597
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1982391580
Cited by
638
References
4
FWCI
8.26
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The Trojan exosome hypothesis. https://app.cochat.ai/papers/10.1073/pnas.1831413100
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Gould, S. J., Booth, A. M., & Hildreth, J. E. K. (2003). The Trojan exosome hypothesis. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1831413100

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.