Advanced Metagenomic Analysis of Human Colonic Microbiota in Patients With Chronic Gastrointestinal Disorders (IBS, IBD, CRC)

The terms intestinal "microflora" or "microbiota" refer to the microbial ecosystem colonizing the gastrointestinal tract. Recently developed molecular biology instruments suggest that a substantial part of bacterial communities within the human gut still have to be described. Intestinal bacteria play an essential role in the development and homeostasis of the immune system. Most of these important microbiota are unculturable which significantly have limited our understanding of bacterial-host crosstalk. Among the methods designed to gain access to the physiology and genetics of uncultured organisms, metagenomics, the genomic analysis of a population of microorganisms, has emerged as a powerful technology. Metagenomics is the study of genomic content in a complex mixture of microorganisms. Direct isolation of genomic DNA from an environment circumvents culturing the organisms under study. The two primary goals of this approach are to develop a consensus of what populations of microorganisms are present and then to identify what roles each microorganism has within a specific environment. Metagenomics samples are found nearly everywhere, including several microenvironments within the human gut, soil samples, extreme environments such as deep mines and the various layers within the ocean. Therefore, the diversity of microorganisms is thought to be in the range of hundreds of millions to greater than tens of trillions of species. Among the most mysterious microenvironment is the human gastrointestinal tract that harbor greater than thousands of millions of microbial species (at least 1014), including up to 2000 species dominated by anaerobic bacteria.

Many of the gastrointestinal or even other diseases (metabolic as in obesity, or autoimmune as in allergies) involve primarily the human gut microbiota and then according to specific changes in microbiota equilibrium certain effects occur on either bowel motility (as in irritable bowel syndrome: IBS), homeostasis of the GI immune system (as in inflammatory bowel disease: IBD), or mucosal cells proliferation (as in adenoma - colorectal cancer: CRC). These chronic diseases affect all nations worldwide and represent a significant public health burden. They can be seen among children, adolescents, and adults. Currently there is no medical cure for IBS, IBD or CRC once they develop.

The complex interactions between microbial, genetic, immune, and environmental factors seem to play an important role in the pathogenesis of IBS, IBD and CRC. Lately, post infectious - IBS have gained increasing focus, to the extent that whole pathogenesis of IBS might be attributed to a specific triggering factor of microbiota imbalance. The prevailing theory is that IBD is related to an altered mucosal barrier with a deregulated immune response directed against specific modifications in the normal microbiota leading to the alteration of its equilibrium. The etiology of IBD can therefore be conceptualized as an aberrant immunologic response to a modified component or components of the gut microbiota potentially following an environmental insult. Likewise, CRC development process from normal mucosal surface to adenoma and finally to CRC; is probably related to gut microbiota.

The prevalence of these diseases has been documented to go through an obvious increase in Saudi Arabia during the last 3 decades. This would represent a unique model to study the role of GIT microbiota or their metagenomics and their modifications in response to environmental or dietary factors in this community that went into urbanization fairly recently, and then analyze their causative relations to the focus diseases.

Here, we propose to perform a comprehensive analysis of the gastrointestinal tract microbiota and its contribution on gut homeostasis in normal subjects and patients with IBS, IBD and CRC by using state of the art metagenomics technology. This will be done on a Saudi population sample that we believe represent a unique model.