2023 Fiscal Year Research-status Report
Mapping the Madurella mycetomatis pathogen and host responses during and after antifungal treatment to identify prognostic therapeutic markers for mycetoma
Project/Area Number |
20K08832
|
Research Institution | Institute of Physical and Chemical Research |
Principal Investigator |
アブケセーサ イマド 国立研究開発法人理化学研究所, 生命医科学研究センター, 上級研究員 (10749906)
|
Project Period (FY) |
2020-04-01 – 2025-03-31
|
Keywords | Mycology / Eumycetoma / Galleria mellonella / Antifungal / Madurella mycetomatis / Transcriptomics |
Outline of Annual Research Achievements |
In vivo transcriptomics analysis was completed. To determine how a pathogen within a host is responding to treatment, we needed to know first how the pathogen responds to the antifungal agent outside the host (in vitro). We designed an in vitro study to determine how Madurella mycetomatis (Mm) became more tolerant to antifungal agents. We cultured isolate from mycetoma patients in the presence of antifungal agents. We exposed Mm to sub-inhibitory concentrations of itraconazole, terbinafine, ravuconazole, Ampotheracin B, Posaconazole and Olorofim and determine the transcriptomic response towards these drugs. We generated RNA-seq libraries 5 replicates per 3 time points (n=105, including Mm treated with 1%DMSO). The analysis of the in vitro data was completed.
|
Current Status of Research Progress |
Current Status of Research Progress
1: Research has progressed more than it was originally planned.
Reason
All planned tasks during 2023 was completed.
|
Strategy for Future Research Activity |
During 2024 our aim was to integrate transcriptomics data from in vivo and in vitro systems. This data then helps us to understand what the main transcriptomic response of the pathogen is to the antifungal agent. In the in vivo situation the response to the antifungal agent is combined with the response of the pathogen to the host. That is a more complicated system. Therefore, combining the in vitro and in vivo response towards the antifungal agents makes it easier to decipher which response is associated with what in this model system. Finally, we are planning to draft a manuscript for submission.
|