Dasí-Delgado Pablo, Andreu Cecilia, Del Olmo Marcel Lí
Departament de Bioquímica i Biologia Molecular, Universitat de València (UVEG), Dr. Moliner 50, E-46100 Burjassot, València, Spain.
Departament de Química Orgànica, Universitat de València (UVEG), Vicent Andrés Estellés s.n., E-46100 Burjassot, València, Spain.
Molecules. 2025 Jul 6;30(13):2868. doi: 10.3390/molecules30132868.
The discovery of new microbial metabolites is essential to combat the alarming rise in antimicrobial resistance and to meet emerging medical needs. This work critically reviews current strategies for identifying antimicrobial compounds, emphasizing the potential of microorganisms as a rich source of bioactive secondary metabolites. This review explores innovative methods, such as investigating extreme environments where adverse conditions favor the emergence of unique metabolites; developing techniques, like the iChip, to cultivate previously uncultivable bacteria; using metagenomics to analyze complex samples that are difficult to isolate; and integrates artificial intelligence to accelerate genomic mining, structural prediction, and drug discovery optimization processes. The importance of overcoming current challenges, such as replicating findings, low research investment, and the lack of adapted collection technologies, is also emphasized. Additionally, this work analyzes the crucial role of bacterial resistance and the necessity of a holistic approach involving new technologies, sustained investment, and interdisciplinary collaboration. This work emphasizes not only the current state of metabolite discovery but also the challenges that must be addressed to ensure a continuous flow of new therapeutic molecules in the coming decades.
发现新的微生物代谢产物对于应对抗微生物药物耐药性惊人上升的问题以及满足新出现的医疗需求至关重要。这项工作批判性地审视了当前鉴定抗菌化合物的策略,强调了微生物作为生物活性次生代谢产物丰富来源的潜力。本综述探讨了创新方法,例如研究极端环境,在这些不利条件下有利于独特代谢产物的出现;开发技术,如iChip,以培养以前无法培养的细菌;利用宏基因组学分析难以分离的复杂样本;并整合人工智能以加速基因组挖掘、结构预测和药物发现优化过程。还强调了克服当前挑战的重要性,如重复研究结果、研究投资低以及缺乏适用的收集技术。此外,这项工作分析了细菌耐药性的关键作用以及采用包括新技术、持续投资和跨学科合作在内的整体方法的必要性。这项工作不仅强调了代谢产物发现的现状,还强调了为确保在未来几十年中有持续不断的新治疗分子供应而必须应对的挑战。
Acc Chem Res. 2025-6-17
Arch Ital Urol Androl. 2025-6-30
2025-1
Cochrane Database Syst Rev. 2022-5-20
J Am Chem Soc. 2025-2-26
NPJ Antimicrob Resist. 2024-3-25
Synth Syst Biotechnol. 2024-12-24
J Nat Prod. 2025-1-24
Lancet Microbe. 2025-1
Recent Pat Biotechnol. 2024