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Published on: May 2, 2018
Antibiotic Resistance: A Genetic and Physiological Perspective
Rania G Elbaiomy1, Ahmed H El-Sappah2,3, Rong Guo4
1Department of Biological Engineering Sichuan University of Science & Engineering Zigong China.
Antimicrobial resistance is a global crisis, with bacteria evolving new defense mechanisms against antibiotics. This review explores resistance mechanisms and highlights AI-driven solutions for developing new antibiotics.
Area of Science:
- Microbiology
- Genetics
- Pharmacology
Background:
- Antimicrobial resistance (AMR) poses a significant global health threat, diminishing antibiotic efficacy.
- Bacterial resistance has escalated since 1947, leading to increased mortality, prolonged hospitalizations, and higher healthcare costs.
- Mechanisms of resistance include genetic alterations, horizontal gene transfer, enzyme production (e.g., β-lactamase), efflux pumps, biofilm formation, and metabolic changes.
Purpose of the Study:
- To provide a comprehensive overview of antimicrobial resistance across bacterial taxa.
- To elucidate the physiological and genetic underpinnings of antimicrobial resistance.
- To examine the current therapeutic strategies and emerging technologies for combating AMR.
Main Methods:
- Literature review of antimicrobial resistance mechanisms.
- Analysis of genetic and physiological processes in resistant bacteria.
- Survey of current and novel therapeutic approaches, including AI-driven methods.
Main Results:
- Bacteria employ diverse strategies to develop resistance, influenced by environmental factors and antibiotic exposure.
- Overuse of antibiotics in human and veterinary medicine, poor infection control, and pollution accelerate resistance.
- Cutting-edge methods like AI offer promising avenues for antibiotic discovery and resistance prediction.
Conclusions:
- Understanding resistance mechanisms is crucial for developing effective treatments.
- Integrated strategies addressing antibiotic use, infection control, and environmental factors are necessary.
- Artificial intelligence presents a transformative approach to combatting the growing threat of antimicrobial resistance.
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