Databases of the evolution of the microbiome and its drug susceptibility in astronauts and hermetic facility operators

Abstract

When planning lunar bases and during long-term interplanetary (autonomous) flights, the issue of accumulation of pathogenic microbiota in conditions of closed inhabited objects is relevant. This question can be answered on the basis of a long observation period. When conducting microbiological examinations on the International Space Station, it was shown that one of the main features of the human-microorganisms ecological system in the environment of manned spacecraft is the periodic accumulation of the pathogenicity potential of microorganisms. These results were confirmed in isolation ground experiments and in the analysis of the SALYUT-6, 7 and MIR, International Space Station missions. Our work presents databases of microbiota and its antibiotic resistance of cosmonauts and hermetic facility operators at various stages of space flight, or isolation experiments. The databases are designed to assess the evolution of the population of microorganisms and their antibiotic resistance in various parts of the body of cosmonauts and operators of hermetic objects before, during and after a space flight and isolation experiments. Information about the microbiome of astronauts has been streamlined and entered into the database since 1970. The databases contain information about the microbiota in chronological order and its antibiotic resistance in cosmonauts and pressurized facility operators. Samples of various parts of the body were analyzed: forehead, chest, neck, ear, arm, armpit, groin, intestines, plaque, oral cavity, pharynx, tongue, nose, cheeks. Experimental samples of microbiota obtained from the International Space Station are stored at a deep freeze of -76 °С, are examined using a standard bacteriological method, molecular biology research methods and immunochemical methods. The information obtained makes it possible to assess the normal and dysbiotic state of the cosmonauts' microbiota. The databases are constantly updated. Thanks to the adapted database format, it is possible to use neural network and BIG DATA methods for analysis.