Title |
Regulatory T Cells Diminish HIV Infection in Dendritic Cells – Conventional CD4+ T Cell Clusters
|
---|---|
Published in |
Frontiers in immunology, May 2014
|
DOI | 10.3389/fimmu.2014.00199 |
Pubmed ID | |
Authors |
Maria E. Moreno-Fernandez, Jara J. Joedicke, Claire A. Chougnet |
Abstract |
Formation of immunological synapses (IS) between dendritic cells (DCs) and conventional CD4(+) T cells (Tcon) is critical for productive immune responses. However, when DCs are HIV-infected such synapses are critical to establish HIV infection. As regulatory T cells (Treg) control DC-Tcon interactions, we inquired whether Treg might interfere with DC to Tcon HIV infection. We developed a model, using monocyte-derived DC infected with R5-HIV, and cultured with Tcon in the presence or absence of autologous Treg, using the physiological ratio of 1 Treg for 10 Tcon. Cultures containing Treg significantly decreased HIV infection in DC:T cell clusters. Notably, Treg appear to have an effect on the quality of the IS, as Treg decreased actin polymerization and DC maturation. Importantly, Treg decreased the trafficking of HIV punctate to the IS. Further, CD152 and cyclic adenosine monophosphate were critical Treg effector molecules, as their individual or simultaneous blockade abolished Treg activity, however no additive effect was found. Together, these data suggest that Treg can reduce HIV dissemination, which may be beneficial to the host in the early stages of infection. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 33% |
United Kingdom | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Members of the public | 1 | 33% |
Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 25 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 28% |
Student > Bachelor | 5 | 20% |
Professor > Associate Professor | 3 | 12% |
Student > Doctoral Student | 2 | 8% |
Student > Master | 2 | 8% |
Other | 4 | 16% |
Unknown | 2 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 12 | 48% |
Immunology and Microbiology | 6 | 24% |
Arts and Humanities | 1 | 4% |
Economics, Econometrics and Finance | 1 | 4% |
Medicine and Dentistry | 1 | 4% |
Other | 1 | 4% |
Unknown | 3 | 12% |