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Transcriptomic responses to antibiotic exposure in Mycobacterium tuberculosis
Husain Poonawala1,2,3,4, Yu Zhang5, Sravya Kuchibhotla6
1Department of Medicine and Department of Pathology and Laboratory Medicine, Tufts Medical Center, Boston, Massachusetts, USA.
This study defines the transcriptional antibiotic response (TAR) in Mycobacterium tuberculosis (Mtb) using transcriptomics. TAR gene signatures accurately predict antibiotic exposure, enabling rapid assessment of drug activity in Mtb.
Area of Science:
- Microbiology
- Genomics
- Pharmacology
Background:
- Bacterial transcriptional responses to antibiotics provide insights into drug mechanisms and resistance.
- Understanding these responses in Mycobacterium tuberculosis (Mtb) is crucial for developing effective treatments.
Purpose of the Study:
- To define the transcriptional antibiotic response (TAR) in Mtb isolates for clinically relevant drugs.
- To analyze Mtb microarray and RNA-seq data sets to characterize TAR.
Main Methods:
- Pooled and analyzed Mtb microarray and RNA-seq data sets.
- Generated 99 antibiotic transcription profiles across 17 antibiotics.
- Utilized varying exposure times (3-24 hours) and concentrations relative to WHO critical concentrations.
Main Results:
- Transcriptional antibiotic response (TAR) genes were time-dependent and specific to antibiotic mechanisms.
- TAR signatures demonstrated high accuracy in predicting antibiotic exposure (AUC 0.76-1.00).
- Transcriptomics allows assessment of antibiotic activity in Mtb within 6 hours.
Conclusions:
- Transcriptional profiling is a valuable tool for studying Mtb antibiotic responses.
- TAR signatures can be used to rapidly assess antibiotic efficacy.
- This approach aids in understanding antimicrobial resistance mechanisms in Mtb.
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