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Immunological biomarkers predict HIV-1 viral rebound after treatment interruption
Open accessAbstract
Treatment of HIV-1 infection with antiretroviral therapy (ART) in the weeks following transmission may induce a state of ‘post-treatment control’ (PTC) in some patients, in whom viraemia remains undetectable when ART is stopped. Explaining PTC could help our understanding of the processes that maintain viral persistence. Here we show that immunological biomarkers can predict time to viral rebound after stopping ART by analysing data from a randomized study of primary HIV-1 infection incorporating a treatment interruption (TI) after 48 weeks of ART (the SPARTAC trial). T-cell exhaustion markers PD-1, Tim-3 and Lag-3 measured prior to ART strongly predict time to the return of viraemia. These data indicate that T-cell exhaustion markers may identify those latently infected cells with a higher proclivity to viral transcription. Our results may open new avenues for understanding the mechanisms underlying PTC, and eventually HIV-1 eradication.
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Cites
Combined Nivolumab and Ipilimumab or Monotherapy in Untreated Melanoma
Larkin, J., Chiarion-Sileni, V., Gonzalez, R., Grob, J. J., Cowey, C. L., Lao, C. D., Schadendorf, D., Dummer, R., Smylie, M., Rutkowski, P., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1504030 · Cited by 8,157
Identification of a reservoir for HIV-1 in patients on highly active antiretroviral therapy
Finzi, D., Hermankova, M., Pierson, T., Carruth, L. M., Buck, C., Chaisson, R. E., Quinn, T. C., Chadwick, K., Margolick, J., Brookmeyer, R., et al. (1997) · Science · doi:10.1126/science.278.5341.1295 · Cited by 3,098
Cited by
International AIDS Society global scientific strategy: towards an HIV cure 2016
International AIDS Society Towards a Cure Working Group, Deeks, S. G., Lewin, S. R., Ross, A. L., Ananworanich, J., Benkirane, M., Cannon, P., Chomont, N., Douek, D., Lifson, J. D., et al. (2016) · Nature Medicine · doi:10.1038/nm.4108 · Cited by 425
Self-citationCD4+ T Cells Expressing PD-1, TIGIT and LAG-3 Contribute to HIV Persistence during ART
Fromentin, R., Bakeman, W., Lawani, M. B., Khoury, G., Hartogensis, W., DaFonseca, S., Killian, M., Epling, L., Hoh, R., Sinclair, E., et al. (2016) · PLOS Pathogens · doi:10.1371/journal.ppat.1005761 · Cited by 422
The Diverse Function of PD-1/PD-L Pathway Beyond Cancer
Qin, W., Hu, L., Zhang, X., Jiang, S., Li, J., Zhang, Z., & Wang, X. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.02298 · Cited by 369
The RV411 study group, Colby, D. J., Trautmann, L., Pinyakorn, S., Leyre, L., Pagliuzza, A., Kroon, E., Rolland, M., Takata, H., Buranapraditkun, S., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0026-6 · Cited by 331
Ait-Ammar, A., Kula, A., Darcis, G., Verdikt, R., De Wit, S., Gautier, V., Mallon, P. W. G., Marcello, A., Rohr, O., & Van Lint, C. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2019.03060 · Cited by 163
Metadata
- Authors
- Hurst, J., Hoffmann, M., Pace, M., Williams, J. P., Thornhill, J., Hamlyn, E., Meyerowitz, J., Willberg, C., Koelsch, K. K., Robinson, N., Brown, H., Fisher, M., Kinloch, S., Cooper, D. A., Schechter, M., Tambussi, G., Fidler, S., Babiker, A., Weber, J., Kelleher, A. D., Phillips, R. E., & Frater, J.
- Venue
- Nature Communications
- Published
- 2015-10-09
- Volume
- 6
- Issue
- 1
- Pages
- 8495-8495
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2255978246
- Cited by
- 170
- References
- 2
- FWCI
- 8.03
- Type
- journal article
- Language
- en
- Open access
- gold
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- Hurst, J., Hoffmann, M., Pace, M., Williams, J. P., Thornhill, J., Hamlyn, E., Meyerowitz, J., Willberg, C., Koelsch, K. K., Robinson, N., Brown, H., Fisher, M., Kinloch, S., Cooper, D. A., Schechter, M., Tambussi, G., Fidler, S., Babiker, A., Weber, J., . . . Frater, J. (2015). Immunological biomarkers predict HIV-1 viral rebound after treatment interruption. Nature Communications. https://doi.org/10.1038/ncomms9495
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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.
