"International drug company Merck has halted trials on an HIV vaccine that was regarded as one of the most promising in the fight against Aids."Normally HIV matters would not be on Fitness Watch.
But, this article is an exception.
Here's why.
The human immune system is one of the things at which medicine is better than most other things human.
A virus is about as simple a particle as is known to modern science.
Much more simple, arguably, than a human cell involved in the many processes of human life.
And they can't get this one right.
And they have been working at it for decades. This particular vaccine took 10 years.
"Merck had previously expressed high hopes for the drug, which it spent 10 years developing."And they won't get overweight and obesity right.
Don't be a really, really stupid sucker for their bull.
It is up to you, and the universal Law of Thermodynamics, a penultimately powerful ally, to succeed.
But to do so, you must not listen to the experts' diet and exercise advice. (see here, here, here and here)
1 comment:
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
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