This event has ended. View the official site or create your own event → Check it out
This event has ended. Create your own
View analytic
Tuesday, August 1 • 17:00 - 17:30
Antibiotic associated dysbiosis and it correction by the indigenous bacteria

Sign up or log in to save this to your schedule and see who's attending!

Human microbiota is a complex consortium of microorganisms (archaebacteria, bacteria, viruses, fungi) involved in the proper functioning of almost every system of the organism. Dysbiotic condition or dysbiosis is a key pathogenic condition causing many severe infectious or non-infectious diseases. It well established that the most common cause of dysbiosis are antibiotics killing indigenous bacteria. And fast return to the original microbiota in many cases leads to the fast recovery from the disease. However, the optimal way of the treatment of dysbiosis is still under the discussion. Probiotics may be helpful in many situations, however, in spite of the fairly long history of the probiotic usage they are not always effective. In present study we tried to evaluate a novel technology – autoprobiotic bacteria for the treatment of the antibiotic induced dysbiosisemploying the rat model of antibiotic induced dysbiosis.  Six experimental groups of animals after taking antibiotics were treated with different variants of the indigenous bacteria prepared for each of them before the development of dysbiosis.The groups included indigenous strains of  bifidobacteria, lactobacilli, enterococci, their mixture, feces, and anaerobically grown fecal bacteria. After having autoprobiotics for five days animals were sacrificed and studied according to the broad number of parameters including metagenomics study. Interestingly, after antibiotics all the animals developed almost identical dysbiotic condition which was characterized by dramatic increase of gammaproteobacteria. However, after different kinds of autoprobiotics the matagenomic data, data of bacteriological analysis, gut epithelium morphology and immunological parameters differed significantly. The data obtained are discussed. The study was supported by RSF grant 16-15-10085.


Tuesday August 1, 2017 17:00 - 17:30
Graduate School of Management Building, room 309 Volkhovskiy Pereulok, 3, St. Petersburg, Russia