Next-Generation strategies to combat antimicrobial resistance: Integrating genomics, CRISPR, and novel therapeutics for effective treatment

Abstract

Antimicrobial resistance (AMR) poses a significant threat to global public health, necessitating innovative strategies to combat this escalating issue. This review outlines next-generation approaches integrating genomics, CRISPR technology, and novel therapeutics to effectively address AMR. Genomic techniques enable comprehensive understanding of the genetic mechanisms underpinning resistance, facilitating the development of targeted interventions. By sequencing the genomes of resistant pathogens, researchers can identify resistance genes, track their spread, and predict emerging resistance patterns. CRISPR-Cas systems offer a revolutionary tool for combating AMR through precise genome editing. This technology can disrupt resistance genes, restore antibiotic sensitivity, and develop bacteriophage therapies that selectively target resistant bacteria. Moreover, CRISPR-based diagnostics enable rapid, accurate detection of resistant strains, enhancing infection control measures. The advent of novel therapeutics, such as antimicrobial peptides, bacteriophage therapy, and synthetic biology-derived compounds, provides alternative treatment options. These therapeutics can bypass traditional resistance mechanisms and exhibit efficacy against multi-drug resistant organisms. Additionally, integrating artificial intelligence (AI) and machine learning with genomics and CRISPR can accelerate the discovery of new antibiotics and predict resistance trends, optimizing treatment regimens. Implementing these next-generation strategies requires robust global collaboration, regulatory frameworks, and investment in research and development. By combining genomics, CRISPR, and novel therapeutics, we can create a multifaceted approach to overcome AMR, ensuring effective treatments and safeguarding public health. This integration represents a paradigm shift in antimicrobial strategy, offering hope for a future where resistant infections can be effectively managed and treated. Keywords: Integrating Genomics, Antimicrobial Resistance, CRISPR, Therapeutic