| Literature DB >> 32698654 |
María A Navarrete-Muñoz1,2,3, Clara Restrepo1,2, José M Benito1,2, Norma Rallón1,2.
Abstract
The exceptional group of ECs has been of great help, and will continue to provide invaluable insight with regard to reach a potential functional cure of HIV. However, there is no consensus on the immune correlates associated to this EC phenotype which preclude reaching a potential functional cure of HIV. The existing literature studying this population of individuals has indeed revealed that they are a very heterogeneous group regarding virological, immunological, and even clinical characteristics, and that among ECs only a very small proportion are homogeneous in terms of maintaining virological and immunological control in the long term (the so-called long-term elite controllers, LTECs). Thus, it is of pivotal relevance to identify the LTECs subjects and use them as the right model to redefine immune correlates of a truly functional cure. This review summarizes the evidence of the heterogeneity of HIV elite controllers (ECs) subjects in terms of virological, immunological and clinical outcomes, and the implications of this phenomenon to adequately consider this EC phenotype as the right model of a functional cure.Entities:
Keywords: Functional cure; clinical outcomes; elite controllers; heterogeneity; immunological control; virological control
Mesh:
Year: 2020 PMID: 32698654 PMCID: PMC7549999 DOI: 10.1080/21505594.2020.1788887
Source DB: PubMed Journal: Virulence ISSN: 2150-5594 Impact factor: 5.882
Figure 1.Heterogeneity observed in EC subjects (a), highlighting the main factors that can explained it: Level of residual HIV viremia (b); Duration of HIV control (c); Level of immunological control (d); Time to reach EC status (e). Colors in each individual represent the EC heterogeneity. Number of individuals represents the frequency of event in the EC population. Triangles indicate the magnitude of each factor with the narrow end representing the smaller amplitude and the wide end the larger.
Studies addressing the time-to-reach EC status.
| Seroconverter Cohorts | Number of patients in the cohort | EC patients | % EC | Median delay to reach virological control (months) | Virological control period (years) | References |
|---|---|---|---|---|---|---|
| CASCADE | 9896 | 140/9896 | 1.4 | 17 | >5 | [ |
| 2176 | 145/2176 | 6.7 | 23 | <1 | [ | |
| US Department of Defense HIV Natural History Study | 4621 | 17*/4621 | 0.4 | 12 | 2.3** | [ |
| Primary/Acute HIV infection Cohorts | Number of patients in the cohort | EC patients | % EC | Median delay to reach virological control (months) | Virological control period (years) | References |
| ANRS CO06 PRIMO | 211 | 8/211 | 3.8 | 6.2 | >1 | [ |
| AIEDRP network | 98 | 6/98 | 6.1 | 6.6 | - | [ |
*25 EC patients were identified in this cohort, of which 17 had a known date of seroconversion ** Median of virological control duration (years), including all elite controllers, not only seroconverts (n = 25).
Studies addressing the duration of virological control.
| Seroconversion or Primary/acute HIV infection | ||||||
|---|---|---|---|---|---|---|
| Cohort | HIV-patients included | EC patients | % EC | Virologic control period (years) | Median follow-up (years) | References |
| Centre Hospitalo- Universitaire de Bicetre and SEROCO-HEMOCO | 2851 | 15/2851 | 0.6 | 10 | 10 | [ |
| CASCADE | 9896 | 140/9896 | 1.4 | 85% EC >13 | 13.3 | [ |
| 2176 | 145/2176 | 6.7 | 0.9 | 6.6 | [ | |
| US Department of Defense HIV Natural History Study | 4621 | 17*/4621 | 0.4 | 2.3** | 7.8 | [ |
| ANRS CO06 PRIMO | 211 | 8/211 | 3.8 | 4.1 | 5.8 | [ |
| Chronic HIV infection | ||||||
| Cohort | HIV-patients included | EC patients | % EC | Virologic control period (years) | Median follow-up (years) | References |
| Evelyn Jordan Center, Baltimore Veterans Administration (VA), and Maryland General Hospital | - | 40 | - | 6.7 | 14 | [ |
| ECRIS | 13,371 | 204/13,371 | 1.5 | 6.2 | 14.9 | [ |
| ANRS | 46,880 | 69/46,880 | 0.15 | >10 | >10 | [ |
*25 EC patients were identified in this cohort, of which 17 had a known date of seroconversion ** Median of virological control duration (years), including all elite controllers, not only seroconverts (n = 25).
Figure 2.Factors determining the heterogeneity of EC patients in maintaining virological/immunological control.
Studies addressing the loss of immunological control.
| Cohort | HIV-patients included | EC patients | % EC | Virological control period (years) | % EC with immune control loss | Cause | References |
|---|---|---|---|---|---|---|---|
| 2176 | 145/2176 | 6.7 | 0.9 | 3.4 | - | [ | |
| 211 | 8/211 | 3.8 | 4.1 | 0 | - | [ | |
| 4621 | 17/4621 | 0.4 | 2.3 | 4 | - | [ | |
| 34,317 | 81/34,317 | 0.3 | 10 | 62.3 | Viral blips | [ | |
| - | 90 | - | 3.6 | 8.9 | High residual plasma viremia | [ | |
| - | 217 | - | 5 | 4.6 | High residual plasma viremia, HIV-DNA, cell activation, viral blips and lower CD4 nadir | [ | |
| 13,371 | 204/13,371 | 1.5 | 6.2 | 44.1 | Sexual acquisition of HIV and lower CD4 nadir | [ |
| cART | combination antiretroviral therapy |
| AIDS | acquired immune deficiency syndrome |
| HIV | human immunodeficiency virus |
| DNA | deoxyribonucleic acid |
| RNA | ribonucleic acid |
| EC | elite controller |
| LTEC | long-term elite controller |
| CD4 | cluster of differentiation 4 |
| CD8 | cluster of differentiation 8 |
| nADEs | non-AIDS defining events |