Title |
Improved CD4 T cell profile in HIV-infected subjects on maraviroc-containing therapy is associated with better responsiveness to HBV vaccination
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Published in |
Journal of Translational Medicine, August 2018
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DOI | 10.1186/s12967-018-1617-1 |
Pubmed ID | |
Authors |
Inés Herrero-Fernández, Isaac Rosado-Sánchez, Miguel Genebat, Laura Tarancón-Díez, María Mar Rodríguez-Méndez, María Mar Pozo-Balado, Carmen Lozano, Ezequiel Ruiz-Mateos, Manuel Leal, Yolanda M. Pacheco |
Abstract |
Maraviroc-containing combined antiretroviral therapy (MVC-cART) improved the response to the hepatitis B virus (HBV) vaccine in HIV-infected subjects younger than 50 years old. We aimed here to explore the effect of this antiretroviral therapy on different immunological parameters that could account for this effect. We analysed baseline samples of vaccinated subjects under 50 years old (n = 41). We characterized the maturational subsets and the expression of activation, senescence and prone-to-apoptosis markers on CD4 T-cells; we also quantified T-regulatory cells (Treg) and dendritic cell (DC) subsets. We used binary logistic regression to evaluate the immunological impact of MVC-cART, correlation with MVC exposure and linear regression for association with the magnitude of the HBV vaccine response. HIV-infected subjects on MVC-cART prior to vaccination showed increased recent thymic emigrants levels and reduced myeloid-DC levels. A longer exposure to MVC-cART was associated with lower frequencies of Tregs and activated and proliferating CD4 T-cells. Furthermore, the frequencies of activated and proliferating CD4 T-cells were inversely associated with the magnitude of the HBV vaccine response. The beneficial effect of MVC-cART in the HBV vaccine response in subjects below 50 years old could be partially mediated by its reducing effect on the frequencies of activated and proliferating CD4 T-cells prior to vaccination. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 3 | 60% |
United States | 1 | 20% |
Unknown | 1 | 20% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 4 | 80% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 4 | 27% |
Researcher | 2 | 13% |
Student > Bachelor | 1 | 7% |
Other | 1 | 7% |
Student > Ph. D. Student | 1 | 7% |
Other | 1 | 7% |
Unknown | 5 | 33% |
Readers by discipline | Count | As % |
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Nursing and Health Professions | 3 | 20% |
Agricultural and Biological Sciences | 2 | 13% |
Immunology and Microbiology | 2 | 13% |
Medicine and Dentistry | 2 | 13% |
Decision Sciences | 1 | 7% |
Other | 0 | 0% |
Unknown | 5 | 33% |