Anti-multidrug resistance: A narrative review | ||||
| Microbes and Infectious Diseases | ||||
| Articles in Press, Accepted Manuscript, Available Online from 09 February 2025 | ||||
| Document Type: Review Article | ||||
| DOI: 10.21608/mid.2025.350073.2433 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Wahyu Aristyaning Putri   1; Abdul Rahman Siregar 1; Fajar Sofyantoro 1; shihiko Yano 2; Muhammad Evy Prastiyanto 3; Anjar Tri Wibowo 4
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| 1Department of Tropical Biology, Faculty of Biology, Universitas Gadjah Mada, Yogyakarta, Indonesia, 55281 | ||||
| 2Department of Gastroenterology, Kobe University Hospital, Japan | ||||
| 3Department of Medical Laboratory Technology, Faculty of Nursing and Health Sciences, Universitas Muhammadiyah, Semarang, Indonesia 50273 | ||||
| 4Department of Biology, Faculty of Science and Technology, Universitas Airlangga, Indonesia 60115 | ||||
| Abstract | ||||
| Background: The escalating challenge of antimicrobial resistance and multidrug-resistant organisms represents a profound threat to global health systems, underscoring an urgent need for transformative therapeutic strategies. This overview examines current pharmacological solutions and emerging compounds with anti-multidrug-resistant potential. While traditional antimicrobials falter, novel interventions sourced from diverse biological origins; small molecules derived from plants, microbial by products, and fungal metabolites offer promising alternative pathways. Active peptides and structurally unique novel antibiotics represent another frontier in dismantling resistance mechanisms. Furthermore, compounds beyond conventional antimicrobials exhibit auxiliary roles that potentiate existing treatments or directly inhibit resistance pathways. Advances in technology also hold potential to address antimicrobial resistance through highly specific and efficient solutions. Genome editing tools enable precise modifications to pathogen genomes, while nanotechnology facilitates targeted drug delivery, minimizing off-target effects. Artificial intelligence and machine learning algorithms further enhance our ability to predict resistance patterns and optimize drug discovery pipelines, accelerating the development of next-generation antimicrobials. Collectively, these multidisciplinary innovations foster a novel therapeutic landscape, offering hope for a future where the threat of multidrug-resistant pathogens can be effectively managed and mitigated. | ||||
| Keywords | ||||
| Antimicrobial resistance; Artificial intelligence; Multidrug-resistant organisms; Novel therapeutic strategies; Targeted drug delivery | ||||
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