About the project
Project Manager
Sandybayev Nurlan
PhD, professor
Scopus Author ID: 37000362400
Researcher ID: AAO-4831-2021, M-7802-2015
ORCID: orcid.org/0000-0003-1814-2798
Relevance
This project, a first of its kind in Kazakhstan, will provide insights into the dynamics of antibiotic-resistant bacteria formation during patient treatment. The results will offer new information on how antibiotics influence the emergence of bacteria with AMR genes during pneumonia treatment. Comparative data from microbiological and genetic studies will contribute to assessing the suitability and efficacy of antimicrobial drugs in treating bacterial pneumonia.
Project objective
The project aims to investigate how microbial composition and antimicrobial resistance change in bacterial pneumonia patients undergoing antibiotic treatment. This will be done using traditional antimicrobial susceptibility testing and targeted Next-Generation Sequencing (NGS).
Expected and achieved results
New data will be presented on the microbial composition of sputum from sick patients on the background of antibiotic therapy and their resistance to antimicrobials.
Comparative analysis of data obtained by classical microbiological method and NGS sequencing will be performed.
The proposed project will be the first pilot study in the Republic of Kazakhstan to examine the dynamics of the formation of bacteria with altered antimicrobial properties as a result of treatment of patients with antibiotics over a period of time.
Scientifically, the results obtained from the project will contribute immensely to the development of applied research aimed at combating the containment of antibiotic-resistant bacteria.
The project will train highly qualified specialists in the field of molecular biology. The results of the project will be disseminated to potential users, communities of scientists and the public through publications in leading rating journals, at national and international conferences, as well as through scientific and public social networks on the Internet.
Information for potential users
The results obtained in the framework of the stated project may become the basis for activities aimed at combating the spread of AMR in Kazakhstan. Introduction of advanced NGS sequencing technologies into scientific organizations and involvement of young scientists in research will increase the scientific potential and methodological platform of scientific research in the Republic of Kazakhstan.
Members of the research group
1. Strochkov V.,
Scopus ID: 37000312900
ORCID: orcid.org/0000-0003-3399-2942
2. Beloussov V.,
Candidate of Biological Sciences
Scopus ID - 58030218400,
https://orcid.org/0000-0003-1922-156X
3. Solomadin M.,
Researcher ID Web of Science GZB-1407-2022
http://orcid.org/0000-0003-4219-1055
4. Yegorov S.,
PhD,
ORCID: 0000-0002-7136-7921
5. Lavrinenko A.,
PhD,
Scopus Author ID: 57193763117,
https://orcid.org/0000-0001-9436-8778
6. Orkara Sh.,
https://orcid.org/0000-0002-3716-7547.
7. Parakhina V.,
Scopus Author ID: 57220894740,
https://orcid.org/0000-0003-4250-6125