HIV could infect a human in two different ways. Trans-infection means the infection of CD4+ T cells via infectious synapse with dendritic cells (DC) where different receptors (e.g. DC-SIGN) or exosomes are involved. The other possibility is called cis-infection and leads to the direct infection of DC’s. Infected DC’s could act as a viral reservoir in vivo [1].
The infection of a cell with HIV needs the receptor CD4 and a coreceptor. CCR5 and CXCR4 play the crucial coreceptors in vivo even though other coreceptors were defined in vitro. CD4 is mainly expressed on T cells, monocytes, macrophages and subtypes of DC’s [2].
In the early phase of an HIV infection are mainly CCR5 using HIV called R5 virus detectable whereas in the late phase of the infection a shift to CXCR4 using HIV (called X4 virus) can be observed. It also known that dual-tropic viruses exists which can use CCR5 as well as CXCR4 as coreceptor.
After the attachment of HIV to a target cell via gp120:CD4 interaction the V3 loop together with the β-19 strand and the bridging sheet of the gp120 protein will bind to the coreceptor following a conformational change. After the binding of the V3 loop the gp41 protein of HIV will penetrate the cell membrane and the virus will fusion with the cell and introduce the capsid into the cell [2,3].
The use of CCR5 or CXCR4 as coreceptor depends on the amino acid sequence and the charge of the V3 loop. The V3 loop and both coreceptors are charged on the basis of acidic and basic amino acids as well as post-transcriptionally modifications. From this follows that electrostatic interactions are mainly involved within the binding of the V3 loop to a coreceptor. It is known that R5 viruses have a lower net charge in the V3 loop than X4 variants [2].
There are different prediction tools to identify the coreceptor usage. An early method is the 11/25 rule which predict the usage on the basis of basic amino acids on the positions 11 and 25 within the V3 loop. Other tools use more complex statistical models. The most popular tools are WetCat, WebPSSM and geno2pheno[coreceptor]. The geno2pheno[coreceptor] is based on the statistical model SVM (support vector matrices) whereas WebPSSM use position-specific scoring matrices (PSSM). WetCat use decision trees, SVM and the charge rule 11/25 [2]. The prediction of coreceptor usage plays an important role within the retroviral therapy called HAART cause of the new drug class called entry inhibitors but also within the determination of the infection status [2]. The new drug class will be discussed in further blog articles on this page.
[1] Dong, C.; Janas, M. A.; Wang, J-H.; Olson, W. J. and Wu, L. Characterization of human immunodeficiency virus type 1 replication in immature and mature dendritic cells reveals dissociable cis- and trans-Infection. Journal of Virology 81, 11352-11362 (2007)
[2] Jäger, H. Entry Inhibitoren. Neue Formen der HIV-Therapie. ISBN 978-3-540-78357-2. Springer (2008 )
[3] Levy, A. J. HIV and the Pathogenesis of AIDS, 3th edition. ISBN 978-1-555-81393-2. ASM Press Washington DC (2007)
