September 21, 2007

Merck HIV vaccine trial fails

Bad news today from the fight against AIDS: the Merck STEP trial has been discontinued due to evidence that the vaccine neither prevents nor attenuates HIV infection. This is a serious setback, as the trial was utilizing a new strategy and had sufficiently promising results two years ago that it was actually expanded. While this doesn't mark the death-knell of the CTL approach by any means, it is certainly a major disappointment and will probably send a number of approaches in development back to the drawing board.

The classic approaches to vaccination in humans have failed for HIV for a variety of reasons. Part of the difficulty is that HIV has such a high degree of variation. There's no guarantee that any single vaccine could protect against every strain for any length of time. Moreover, vaccination using the virus itself is incredibly risky — even a virus that is missing the essential Nef protein from its RNA can damage the immune system. Experiments in SIV show that a damaged or attenuated virus only confers protection if it reproduces at low levels in the host, but at the same time this gives it a greater opportunity to revert to pathogenic status. For this reason, chemical inactivation, which truly kills the virus, doesn't produce a viable vaccine because the virus does not stimulate sufficient antibodies to protect the patient.

The Merck vaccine used a different approach entirely, based on the idea of activating cytotoxic T lymphocytes. Rather than using inactivated HIV, the Merck team transplanted three HIV genes into an adenovirus (one of the viruses that produces the common cold). The idea was that these genes would get expressed into protein and displayed on the cell surface in the major histocompatibility complex. This would train T cells to attack any cell that the HIV virus had infected. Thus, the approach would not be to immobilize the virus with anitbodies, but rather to destroy any infected hosts cells before virus production really swung into gear. Even if it failed to prevent infection per se, it was hoped that this approach would arrest the development of an HIV infection into AIDS.

Unfortunately, this clever tack seems to have failed, at least in this application. It may take some time to understand why things did not work out, and maybe there was just an unfortunate choice of which HIV proteins were used or some other idiosyncratic issue with Merck's particular formulation of the approach. Until a detailed post-mortem is complete, however, CTL-stimulation approaches will have to be evaluated in a harsher light, with a little less hope.

NOTE: IAVI probably won't have the study status updated until Monday.

1 comment:

oloscience said...

Source: http://www.sciencedaily.com/releases/2007/10/071012080135.htm

Science Daily — The search for a vaccination against HIV has been in progress since 1984, with very little success. Traditional methods used for identifying potential cellular targets can be very costly and time-consuming.
The key to creating a vaccination lies in knowing which parts of the pathogen to target with which antibodies. A new study by David Heckerman and colleagues from Massachusetts General Hospital, publishing in PLoS Computational Biology, has come up with a way to match pathogens to their antibodies.
At the core of the human immune response is the train-to-kill mechanism in which specialized immune cells are sensitized to recognize small peptides from foreign pathogens (e.g., HIV). Following this sensitization, these cells are then activated to kill cells that display this same peptide. However, for sensitization and killing to occur, the pathogen peptide must be "paired up" with one of the infected person's other specialized immune molecules--an HLA (human leukocyte antigen) molecule. The way in which pathogen peptides interact with these HLA molecules defines if and how an immune response will be generated.
Heckerman's model uses ELISpot assays to identify HLA-restricted epitopes, and which HLA alleles are responsible for which reactions towards which pathogens. The data generated about the immune response to pathogens fills in missing information from previous studies, and can be used to solve a variety of similar problems.
The model was applied to data from donors with HIV, and made 12 correct predictions out of 16. This study, says David Heckerman, has "significant implications for the understanding of...vaccine development." The statistical approach is unusual in the study of HLA molecules, and could lead the way to developing an HIV vaccine.
Citation: Listgarten J, Frahm N, Kadie C, Brander C, Heckerman D (2007) A statistical framework for modeling HLA-dependent T cell response data. PLoS Comput Biol 3(10): e188. doi:10.1371/journal.pcbi.0030188
Note: This story has been adapted from material provided by Public Library of Science.

Fausto Intilla
www.oloscience.com