Our new study (work with the group of Jan Albert) on HIV-1 evolution and turnover during suppressive anti-retroviral therapy has just come out in eLife. In this paper, we combined our previous data on HIV-1 evolution in plasma prior to therapy Zanini et al, 2015 with HIV-1 DNA sequences from peripheral blood cells (PBMC) after many years of therapy. This combination of pre-therapy and on-therapy data from the same individuals allowed us to investigate the origin of integrated HIV-1 DNA and determine whether viral DNA in cells change during therapy:
- We find no evidence of replication/evolution during suppressive therapy
- Even after 18y of therapy HIV-1 DNA looks very similar to the HIV-1 RNA from samples right before treatment
- The HIV reservoir is turning over fast in absence of therapy. This turnover is dramatically slowed by therapy, suggesting that HIV-1 infection is a major contributor to T-cell death.
Our results are at odds with a recent study by Lorenzo-Redondo et al 2016. Using sequence data from HIV RNA at treatment initiation and HIV DNA 3 and 6 month into therapy, Lorenzo-Redondo et al estimated a very high rate of sequence evolution. The evolution of the root-to-tip distance predicted on the basis of their rate estimate is included in the graph below as shaded area - clearly incompatible with our results. In fact, the rate estimated by Lorenzo-Redondo et al is faster than the pre-therapy rate in the individuals we investigated.
Lorenzo-Redondo et al studied sequences from blood and lymph tissue, while we had only access to blood samples. This, however, is unlikely to explain this discrepancy: Lorenzo-Redondo et al estimate similar rates in PBMCs and lymp tissue. Furthermore, several studies, including Lorenzo-Redondo et al, estimate that HIV sequences from lymph and PBMCs mix on a time scale of a few month such that PBMCs should be an accurate reporter. The rapid evolution inferred by Lorenzo-Redondo might be explained in part by the following factors:
The samples come from a six month interval, which is much shorter than the coalescence time scale of HIV. With sequences from such small time intervals, rooting of the phylogenetic tree to maximize the correlation between root-to-tip distance and sampling date can generate an exaggerated temporal signal.
With increasing time since start of therapy, the HIV-1 DNA positive pool of cells will become dominated by long-lived cells which sample deeper into the history of the HIV infection prior to therapy. This could generate a signal of spurious signal "backward" evolution. The graph below illustrates the latter. If HIV positive cells are a mix of short-lived (blue) and long-lived (red) cells, a sample taken at treatment start will be dominated by short-lived cells and virus that was replicating very recently. A few month into treatment, short-lived cells will be mostly HIV negative while HIV positive cells tend to be long-lived cells that sample deeper into the history of the infection. This shift can generate a spurious signal of evolution.
While we cannot rule out that HIV does replicate in compartments that are missed by our sequencing of HIV from PBMCs, ongoing replication is not the dominant mechanism by which HIV DNA is maintained in circulating cells.