The University of Southampton
University of Southampton Institutional Repository

An in-depth comparison of latent HIV-1 reactivation in multiple cell model systems and resting CD4+ T cells from aviremic patients

An in-depth comparison of latent HIV-1 reactivation in multiple cell model systems and resting CD4+ T cells from aviremic patients
An in-depth comparison of latent HIV-1 reactivation in multiple cell model systems and resting CD4+ T cells from aviremic patients
The possibility of HIV-1 eradication has been limited by the existence of latently infected cellular reservoirs. Studies to examine control of HIV latency and potential reactivation have been hindered by the small numbers of latently infected cells found in vivo. Major conceptual leaps have been facilitated by the use of latently infected T cell lines and primary cells. However, notable differences exist among cell model systems. Furthermore, screening efforts in specific cell models have identified drug candidates for “anti-latency” therapy, which often fail to reactivate HIV uniformly across different models. Therefore, the activity of a given drug candidate, demonstrated in a particular cellular model, cannot reliably predict its activity in other cell model systems or in infected patient cells, tested ex vivo. This situation represents a critical knowledge gap that adversely affects our ability to identify promising treatment compounds and hinders the advancement of drug testing into relevant animal models and clinical trials. To begin to understand the biological characteristics that are inherent to each HIV-1 latency model, we compared the response properties of five primary T cell models, four J-Lat cell models and those obtained with a viral outgrowth assay using patient-derived infected cells. A panel of thirteen stimuli that are known to reactivate HIV by defined mechanisms of action was selected and tested in parallel in all models. Our results indicate that no single in vitro cell model alone is able to capture accurately the ex vivo response characteristics of latently infected T cells from patients. Most cell models demonstrated that sensitivity to HIV reactivation was skewed toward or against specific drug classes. Protein kinase C agonists and PHA reactivated latent HIV uniformly across models, although drugs in most other classes did not.
1553-7366
1-15
Spina, C.A.
644b537b-d0f2-4c09-a43e-8b54f74c68a9
Anderson, J.
a8c59b71-26f6-4ffc-86ea-590411509a9f
Archin, N.M.
6f65ae00-bc13-422b-888f-fe79204fa18a
Bosque, A.
dd95c49c-12b1-4370-a867-172454ca9b38
Chan, J.
7c9ec89b-38f8-4209-9b2f-a067d54621c1
Greene, W.C.
08c0336f-de1e-4792-872f-5ed679ca6433
Famiglietti, M.
df495e95-01c3-442c-9ee8-b4f75a103418
Kashuba, A.
33cfb8a7-6b88-426a-84f0-c9b1b1d85935
Lewin, S.R.
b5a01243-08b8-4245-9474-3802bd79d3b2
Mau, M.
fa994450-83c2-4931-867f-d9c3c0a97c7c
Margolis, D.M.
49b7324e-a754-4a37-aeb6-ece9ff1feeb9
Ruelas, D.
f067b0a5-f4c5-4d58-85be-148ce2df5560
Saleh, S.
31974e81-7066-40f4-8bfb-b5629037f748
Shirakawa, K.
c70dcf36-7039-446c-b213-9958ac4f6798
Siliciano, R.
df3ae518-6a4e-4df8-8ecb-2f50ab8df785
Singhania, A.
9a5f2c6b-fc46-4223-bcae-de70bf14da6b
Soto, P.C.
3d7a2909-a3f4-46d3-94a1-b3ee27dfd3b7
Terry, V.H.
a0905638-d89f-4785-b1a5-c7f7d670726f
Verdin, E.
736a616c-b93b-420d-9bb3-03afed153ce7
Woelk, C.H.
4d3af0fd-658f-4626-b3b5-49a6192bcf7d
Wooden, S.
8d430b05-aafb-4962-b5a2-c25cb586e96e
Xing, S.
70502cf3-9cc5-4cc7-b239-98bebf1ad845
Plannelles, V.
2690393b-bf69-4dc2-a1bc-0371ab335831
Spina, C.A.
644b537b-d0f2-4c09-a43e-8b54f74c68a9
Anderson, J.
a8c59b71-26f6-4ffc-86ea-590411509a9f
Archin, N.M.
6f65ae00-bc13-422b-888f-fe79204fa18a
Bosque, A.
dd95c49c-12b1-4370-a867-172454ca9b38
Chan, J.
7c9ec89b-38f8-4209-9b2f-a067d54621c1
Greene, W.C.
08c0336f-de1e-4792-872f-5ed679ca6433
Famiglietti, M.
df495e95-01c3-442c-9ee8-b4f75a103418
Kashuba, A.
33cfb8a7-6b88-426a-84f0-c9b1b1d85935
Lewin, S.R.
b5a01243-08b8-4245-9474-3802bd79d3b2
Mau, M.
fa994450-83c2-4931-867f-d9c3c0a97c7c
Margolis, D.M.
49b7324e-a754-4a37-aeb6-ece9ff1feeb9
Ruelas, D.
f067b0a5-f4c5-4d58-85be-148ce2df5560
Saleh, S.
31974e81-7066-40f4-8bfb-b5629037f748
Shirakawa, K.
c70dcf36-7039-446c-b213-9958ac4f6798
Siliciano, R.
df3ae518-6a4e-4df8-8ecb-2f50ab8df785
Singhania, A.
9a5f2c6b-fc46-4223-bcae-de70bf14da6b
Soto, P.C.
3d7a2909-a3f4-46d3-94a1-b3ee27dfd3b7
Terry, V.H.
a0905638-d89f-4785-b1a5-c7f7d670726f
Verdin, E.
736a616c-b93b-420d-9bb3-03afed153ce7
Woelk, C.H.
4d3af0fd-658f-4626-b3b5-49a6192bcf7d
Wooden, S.
8d430b05-aafb-4962-b5a2-c25cb586e96e
Xing, S.
70502cf3-9cc5-4cc7-b239-98bebf1ad845
Plannelles, V.
2690393b-bf69-4dc2-a1bc-0371ab335831

Spina, C.A., Anderson, J., Archin, N.M., Bosque, A., Chan, J., Greene, W.C., Famiglietti, M., Kashuba, A., Lewin, S.R., Mau, M., Margolis, D.M., Ruelas, D., Saleh, S., Shirakawa, K., Siliciano, R., Singhania, A., Soto, P.C., Terry, V.H., Verdin, E., Woelk, C.H., Wooden, S., Xing, S. and Plannelles, V. (2013) An in-depth comparison of latent HIV-1 reactivation in multiple cell model systems and resting CD4+ T cells from aviremic patients. PLOS Pathogens, 9 (12), 1-15. (doi:10.1371/journal.ppat.1003834).

Record type: Article

Abstract

The possibility of HIV-1 eradication has been limited by the existence of latently infected cellular reservoirs. Studies to examine control of HIV latency and potential reactivation have been hindered by the small numbers of latently infected cells found in vivo. Major conceptual leaps have been facilitated by the use of latently infected T cell lines and primary cells. However, notable differences exist among cell model systems. Furthermore, screening efforts in specific cell models have identified drug candidates for “anti-latency” therapy, which often fail to reactivate HIV uniformly across different models. Therefore, the activity of a given drug candidate, demonstrated in a particular cellular model, cannot reliably predict its activity in other cell model systems or in infected patient cells, tested ex vivo. This situation represents a critical knowledge gap that adversely affects our ability to identify promising treatment compounds and hinders the advancement of drug testing into relevant animal models and clinical trials. To begin to understand the biological characteristics that are inherent to each HIV-1 latency model, we compared the response properties of five primary T cell models, four J-Lat cell models and those obtained with a viral outgrowth assay using patient-derived infected cells. A panel of thirteen stimuli that are known to reactivate HIV by defined mechanisms of action was selected and tested in parallel in all models. Our results indicate that no single in vitro cell model alone is able to capture accurately the ex vivo response characteristics of latently infected T cells from patients. Most cell models demonstrated that sensitivity to HIV reactivation was skewed toward or against specific drug classes. Protein kinase C agonists and PHA reactivated latent HIV uniformly across models, although drugs in most other classes did not.

Other
fetchObject.action_uri=info_doi%2F10.1371%2Fjournal.ppat.1003834&representation=PDF - Version of Record
Available under License Other.
Download (739kB)

More information

Accepted/In Press date: 30 October 2013
e-pub ahead of print date: 26 December 2013
Organisations: Clinical & Experimental Sciences

Identifiers

Local EPrints ID: 379198
URI: http://eprints.soton.ac.uk/id/eprint/379198
ISSN: 1553-7366
PURE UUID: 654fa91d-326f-4fd9-82ee-037007195c29

Catalogue record

Date deposited: 18 Jul 2015 14:07
Last modified: 14 Mar 2024 20:35

Export record

Altmetrics

Contributors

Author: C.A. Spina
Author: J. Anderson
Author: N.M. Archin
Author: A. Bosque
Author: J. Chan
Author: W.C. Greene
Author: M. Famiglietti
Author: A. Kashuba
Author: S.R. Lewin
Author: M. Mau
Author: D.M. Margolis
Author: D. Ruelas
Author: S. Saleh
Author: K. Shirakawa
Author: R. Siliciano
Author: A. Singhania
Author: P.C. Soto
Author: V.H. Terry
Author: E. Verdin
Author: C.H. Woelk
Author: S. Wooden
Author: S. Xing
Author: V. Plannelles

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×