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A High-Throughput and Genomics-Based Approach to Combat Antimicrobial Resistance


A High-Throughput and Genomics-Based Approach to Combat Antimicrobial Resistance

Mahdavi, Michael (2023) A High-Throughput and Genomics-Based Approach to Combat Antimicrobial Resistance. Masters thesis, Concordia University.

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Antimicrobial resistance (AMR) is becoming an increasingly large threat to global health and economics. In 2019, there were approximately 1.27 million deaths directly attributable to bacterial AMR and 4.95 million deaths associated with bacterial AMR. These numbers are expected to increase to 10 million by the year 2050. The use of Adjuvant therapeutics has been proposed as a strategy to mitigate antimicrobial resistance. Adjuvants can help resensitize resistant bacteria to clinically-relevant antibiotics, while also prolonging resistance from occurring.

Here I present two high-throughput screens: one that identifies robust adjuvant compounds that target resistant bacteria, and one that repurposes drug-like compounds for antimicrobial use against Gram-negative bacteria. From these screens, one lead adjuvant candidate and four repurposed drug-like antimicrobials were taken forward for a mix of analog generation studies, mechanistic studies, resistance evolution studies and genomic analysis.

This work will help play a role in bringing novel therapies to the clinic and prolong the evolution of resistance from occurring.

Divisions:Concordia University > Faculty of Arts and Science > Chemistry and Biochemistry
Item Type:Thesis (Masters)
Authors:Mahdavi, Michael
Institution:Concordia University
Degree Name:M. Sc.
Date:13 January 2023
Thesis Supervisor(s):Findlay, Brandon
Keywords:antimicrobial resistance, bacteria, antibiotics, adjuvants, genomics, high-throughput screening
ID Code:991719
Deposited By: Michael Mahdavi
Deposited On:21 Jun 2023 14:50
Last Modified:21 Jun 2023 14:50


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