Dec 29 2008
Putting together the pieces of the drug addiction jigsaw puzzle
Scientists at the Center for Bioinformatics of the Peking University in Beijing China used integrative meta-analysis to put together around 2,343 genetic evidence materials and create the most comprehensive genetic atlas of drug addiction to date. This atlas, which also shows five molecular pathways that underlie four different types of drug addiction, is available online with extensive annotations at the KARG website while the full-text research was published by PloS Computational Biology.
Several years of research on drug addiction gave the scientific community various albeit incomplete pictures of the said condition. Through the use of different technologies, researchers from different places and different times found a wide variety of biological process and genes underlying drug addiction. These individual evidences, however, are only pieces of the big addiction jigsaw puzzle and would make better sense if assembled in one big picture. Assembling this puzzle is a feat which scientists have been trying but have failed to accomplish until recently. The Peking University group’s work is the closest, and by far the most accurate, the research community have come to completing a complete genetic picture of drug addiction.
To come up with their atlas, researcher Liping Wei led his team to collect evidence from addiction-related literature published in the last 30 years, from which they were able to derive the 2,343 items they used in their project. The said items were genetic evidences that linked chromosomes and gene regions to drug addiction as showed by past genetic, proteomics, microarray, and single-gene strategy studies.
Using their assembled atlas of genetic evidence, the researches found 18 molecular pathways which are statistically superior in the genes associated with drug addiction. Among these 18 pathways, they also identified five that were common to four types drug addiction. These five pathways are also believed to share underlying response and reward mechanisms. The researchers also suggested that the five pathways can be further studied as new targets for effective drug addiction therapy.
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